diff --git a/content/arabic/_index.md b/content/arabic/_index.md
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: استكشف مجموعة دروس GroupDocs.Search للمطورين .NET و Java. اتقن فهرسة
+ المستندات، وقدرات البحث، والميزات المتقدمة بسهولة.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: دليل GroupDocs.Search – افتح قوة البحث في المستندات
+type: docs
+url: /ar/
+weight: 11
+---
+
+# دليل GroupDocs.Search – إطلاق قوة البحث في المستندات
+
+مرحبًا بك في **دليل GroupDocs.Search**، وجهتك الشاملة لإتقان البحث في المستندات والفهرسة عبر منصتي .NET و Java. سواءً كنت تبني أداة داخلية صغيرة أو حلًا مؤسسيًا واسع النطاق، فإن هذه الأدلة خطوة بخطوة ستساعدك على تنفيذ وظائف بحث سريعة، دقيقة وقابلة للتوسع. ستتعلم كل شيء من الفهرسة الأساسية إلى بناء الاستعلامات المتقدمة، مع الاستفادة الكاملة من قوة GroupDocs.Search.
+
+## لماذا تستخدم دليل GroupDocs.Search؟
+
+تم تصميم سلسلة الأدلة مع مراعاة السيناريوهات الواقعية، حتى تتمكن من تطبيق ما تتعلمه بسرعة على مشاريعك. باتباعك لهذه الأدلة ستحصل على:
+
+- فهم قوي لتقنيات **فهرسة المستندات**.
+- تعلم كيفية إنشاء **قدرات بحث** فعّالة تتعامل مع مجموعات مستندات ضخمة.
+- استكشاف ميزات متقدمة مثل البحث الضبابي، التمييز، وشبكات البحث الموزعة.
+- تقليل وقت التطوير من خلال إرشادات واضحة مدعومة بالأمثلة لكل من بيئات .NET و Java.
+
+{{% alert color="primary" %}}
+استكشف قدرات البحث القوية في المستندات على .NET مع أدلة GroupDocs.Search. من الفهرسة الأساسية إلى تقنيات البحث المتقدمة، تقدم أدلتنا إرشادات شاملة للمطورين على جميع مستويات الخبرة. تعمق في مواضيع مختلفة مثل البحث البولياني، البحث الضبابي، التمييز، إدارة القواميس، وحلول البحث الموزعة، لتستفيد من الإمكانات الكاملة لـ GroupDocs.Search على .NET. ارتقِ بوظيفة البحث في تطبيقك وسهّل اكتشاف المستندات من خلال أدلتنا السهلة المتابعة.
+{{% /alert %}}
+
+## أدلة GroupDocs.Search لـ .NET
+
+### أدلة البحث الأساسية على .NET
+
+- [Indexing](./net/indexing/)
+- [Searching](./net/searching/)
+- [Highlighting](./net/highlighting/)
+- [Dictionaries & Language Processing](./net/dictionaries-language-processing/)
+- [Document Management](./net/document-management/)
+- [OCR & Image Search](./net/ocr-image-search/)
+- [Advanced Features](./net/advanced-features/)
+- [Search Network](./net/search-network/)
+- [Performance Optimization](./net/performance-optimization/)
+- [Exception Handling & Logging](./net/exception-handling-logging/)
+- [Integration & Interoperability](./net/integration-interoperability/)
+- [Licensing & Configuration](./net/licensing-configuration/)
+- [Text Extraction & Processing](./net/text-extraction-processing/)
+- [Queries & Query Building](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+اكتشف أدلة شاملة لـ GroupDocs.Search في Java. من تقنيات الفهرسة الأساسية إلى وظائف البحث المتقدمة، توفر أدلتنا خطوة بخطوة للمطورين بلغة Java المعرفة اللازمة لتنفيذ حلول بحث قوية في المستندات. تعلم العمل مع صيغ مستندات متعددة تشمل PDF، Word، Excel، العروض التقديمية، وغير ذلك. إتقان تقنيات إنشاء الفهارس، تنفيذ أنواع مختلفة من البحث، تمييز النتائج، وتحسين الأداء لتعزيز تطبيقات Java الخاصة بك بقدرات بحث قوية.
+{{% /alert %}}
+
+## أدلة GroupDocs.Search لـ Java
+
+### أدلة البحث الأساسية على Java
+
+- [Getting Started](./java/getting-started/)
+- [Indexing](./java/indexing/)
+- [Searching](./java/searching/)
+- [Highlighting](./java/highlighting/)
+- [Dictionaries & Language Processing](./java/dictionaries-language-processing/)
+- [Document Management](./java/document-management/)
+- [OCR & Image Search](./java/ocr-image-search/)
+- [Advanced Features](./java/advanced-features/)
+- [Search Network](./java/search-network/)
+- [Performance Optimization](./java/performance-optimization/)
+- [Exception Handling & Logging](./java/exception-handling-logging/)
+- [Licensing & Configuration](./java/licensing-configuration/)
+- [Text Extraction & Processing](./java/text-extraction-processing/)
+
+---
+
+**آخر تحديث:** 2025-12-16
+**المؤلف:** GroupDocs
\ No newline at end of file
diff --git a/content/arabic/java/advanced-features/_index.md b/content/arabic/java/advanced-features/_index.md
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+---
+date: 2025-12-16
+description: تعلم كيفية إنشاء فهرس بحث وتطبيق نطاق التاريخ والبحث المتعدد الأوجه وتصفية
+ المستندات باستخدام دروس GroupDocs.Search للغة Java.
+title: 'إنشاء فهرس بحث - دروس GroupDocs.Search بلغة Java'
+type: docs
+url: /ar/java/advanced-features/
+weight: 8
+---
+
+# إنشاء فهرس بحث: دروس GroupDocs.Search للغة Java
+
+مرحبًا بك في المركز الخاص **بإنشاء فهرس بحث** وإتاحة إمكانيات البحث المتقدمة مع GroupDocs.Search للغة Java. سواءً كنت تسعى إلى **تنفيذ نطاق تاريخ** في الاستعلامات، أو تطبيق **تصفية امتداد الملف Java**، أو بناء حلول **بحث معقد Java**، فإن هذه الدروس تقدم لك إرشادات خطوة بخطوة، أمثلة واقعية، وكود جاهز للتنفيذ. في نهاية هذا الدليل ستتمكن من تصميم تجارب بحث قوية يمكنها التعامل مع مجموعات مستندات ضخمة.
+
+## كيف تنشئ فهرس بحث باستخدام GroupDocs.Search للغة Java؟
+بناء فهرس بحث قوي هو الأساس لأي ميزة بحث متطورة. في الدروس أدناه ستتعرف على كيفية:
+
+* إعداد فهرس وإضافة المستندات بكفاءة.
+* استخدام البيانات الوصفية والسمات لإثراء نتائج البحث.
+* تطبيق فلاتر مثل **document filtering java** و **file extension filtering java** لتضييق النتائج.
+* تنفيذ استعلامات **complex search java** التي تجمع بين معايير متعددة، بما في ذلك قيود **implement date range**.
+
+## الدروس المتاحة
+
+### [بحث عن المستندات على أساس القطع في Java: دليل شامل باستخدام GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+تعلم كيفية تنفيذ عمليات بحث فعّالة على أساس القطع في المستندات باستخدام GroupDocs.Search للغة Java. عزّز الإنتاجية وتعامل مع مجموعات بيانات كبيرة بسهولة.
+
+### [البحث المتعدد الأوجه والمعقد في Java: إتقان GroupDocs.Search للميزات المتقدمة](./faceted-complex-search-groupdocs-java/)
+تعلم كيفية تنفيذ بحث متعدد الأوجه ومعقد في تطبيقات Java باستخدام GroupDocs.Search، مما يحسّن وظائف البحث وتجربة المستخدم.
+
+### [تنفيذ GroupDocs.Search للغة Java: دليل شامل للفهرسة وإعداد التقارير](./groupdocs-search-java-index-report-guide/)
+إتقان GroupDocs.Search في Java للفهرسة الفعّالة للمستندات وإعداد التقارير. تعلم إنشاء الفهارس، إضافة المستندات، وتوليد التقارير من خلال هذا الدليل المفصل.
+
+### [إتقان بحث نطاق التاريخ في Java مع GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+دورة تعليمية برمجية لـ GroupDocs.Search للغة Java
+
+### [إتقان GroupDocs.Search للغة Java: ميزات بحث متقدمة لاسترجاع البيانات بكفاءة](./groupdocs-search-java-advanced-search-features/)
+تعلم إتقان ميزات البحث المتقدمة في GroupDocs.Search للغة Java، بما في ذلك معالجة الأخطاء، أنواع الاستعلامات المتنوعة، وتحسين الأداء.
+
+### [إتقان تصفية ملفات Java باستخدام GroupDocs.Search: دليل خطوة بخطوة](./master-java-file-filtering-groupdocs-search/)
+تعلم كيفية إدارة وتصفية الملفات بفعالية في Java باستخدام GroupDocs.Search، بما في ذلك تصفية امتداد الملف، العوامل المنطقية، والمزيد.
+
+### [إتقان GroupDocs.Search للغة Java: دليلك الكامل للفهرسة والبحث في المستندات](./groupdocs-search-java-implementation-guide/)
+تعلم كيفية تنفيذ GroupDocs.Search في Java من خلال هذا الدليل الشامل. اكتشف استخراج النصوص القوي، التسلسل، الفهرسة، وميزات البحث.
+
+## موارد إضافية
+
+- [توثيق GroupDocs.Search للغة Java](https://docs.groupdocs.com/search/java/)
+- [مرجع API لـ GroupDocs.Search للغة Java](https://reference.groupdocs.com/search/java/)
+- [تحميل GroupDocs.Search للغة Java](https://releases.groupdocs.com/search/java/)
+- [منتدى GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [دعم مجاني](https://forum.groupdocs.com/)
+- [رخصة مؤقتة](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**آخر تحديث:** 2025-12-16
+**المؤلف:** GroupDocs
\ No newline at end of file
diff --git a/content/arabic/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/arabic/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
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+---
+date: '2025-12-16'
+description: تعلم كيفية إنشاء فهرس بحث بلغة Java وتنفيذ عمليات البحث المتعددة الأوجه
+ والمعقدة باستخدام GroupDocs.Search، مما يعزز أداء البحث وتجربة المستخدم.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: إنشاء فهرس بحث Java – البحث المتعدد الأوجه والبحث المعقد
+type: docs
+url: /ar/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# إنشاء فهرس بحث Java – البحث الموجه والمعقد
+
+تنفيذ تجربة **search experience** قوية في Java قد يبدو مرهقًا، خاصةً عندما تحتاج إلى **create search index Java** مشاريع تتعامل مع مجموعات مستندات ضخمة. لحسن الحظ، **GroupDocs.Search for Java** توفر API غني يتيح لك بناء استعلامات موجهة ومعقدة ببضع أسطر من الشيفرة. في هذا البرنامج التعليمي ستكتشف كيفية إعداد المكتبة، **create a search index Java**، إضافة المستندات، وتشغيل كل من عمليات البحث الموجهة البسيطة والاستعلامات المتعددة المعايير المتطورة.
+
+## إجابات سريعة
+- **What is a faceted search?** طريقة لتصفية النتائج حسب الفئات المحددة مسبقًا (مثل نوع الملف، التاريخ).
+- **How do I create a search index Java?** تهيئة كائن `Index` يشير إلى مجلد وإضافة المستندات.
+- **Can I combine multiple criteria?** نعم—استخدم استعلامات مبنية على الكائنات أو عوامل Boolean في استعلام نصي.
+- **Do I need a license?** النسخة التجريبية المجانية تكفي للتطوير؛ الترخيص التجاري يزيل القيود.
+- **Which IDE works best?** أي بيئة تطوير Java (IntelliJ IDEA، Eclipse، NetBeans) تعمل بشكل جيد.
+
+## ما هو “create search index java”؟
+إنشاء فهرس بحث في Java يعني بناء بنية بيانات قابلة للبحث تخزن بيانات تعريف المستند ومحتواه، مما يتيح استرجاعًا سريعًا بناءً على استعلامات المستخدم. مع GroupDocs.Search، يعيش الفهرس على القرص، ويمكن تحديثه بشكل تدريجي، ويدعم ميزات متقدمة مثل الفهرسة الموجهة (faceting) والمنطق Boolean المعقد.
+
+## لماذا تستخدم GroupDocs.Search للبحث الموجه والمعقد؟
+- **Out‑of‑the‑box faceting** – تصفية حسب الحقول مثل اسم الملف، الحجم، أو البيانات التعريفية المخصصة.
+- **Rich query language** – دمج استعلامات نصية، عبارات، وحقل باستخدام عوامل AND/OR/NOT.
+- **Scalable performance** – يفهرس ملايين المستندات مع الحفاظ على زمن استجابة البحث منخفض.
+- **Pure Java** – لا توجد تبعيات أصلية، يعمل على أي منصة تدعم JDK 8+.
+
+## المتطلبات المسبقة
+قبل أن نبدأ، تأكد من وجود ما يلي:
+
+- **JDK 8 أو أحدث** مثبت ومُكوَّن في بيئة التطوير الخاصة بك.
+- **Maven** (أو Gradle) لإدارة التبعيات.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- إلمام أساسي بمفاهيم OOP في Java وبنية مشروع Maven.
+
+## إعداد GroupDocs.Search لـ Java
+
+### إعداد Maven
+أضف المستودع والتبعيات إلى ملف `pom.xml` الخاص بك:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### التحميل المباشر
+بدلاً من ذلك، قم بتحميل أحدث JAR من صفحة الإصدارات الرسمية:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### الحصول على الترخيص
+لإلغاء قفل جميع الوظائف:
+
+1. **Free trial** – مثالي للتطوير والاختبار.
+2. **Temporary evaluation license** – يمدد حدود النسخة التجريبية.
+3. **Commercial license** – يزيل جميع القيود للاستخدام في بيئة الإنتاج.
+
+### التهيئة الأساسية والإعداد
+المقتطف التالي يوضح كيفية **create a search index Java** عن طريق إنشاء كائن من فئة `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+مع جاهزية الفهرس، يمكننا الانتقال إلى استعلامات موجهة ومعقدة في العالم الحقيقي.
+
+## كيفية إنشاء فهرس بحث Java – بحث موجه بسيط
+
+يتيح البحث الموجه للمستخدمين النهائيين تضييق النتائج عن طريق اختيار قيم من فئات محددة مسبقًا (facets). أدناه شرح خطوة بخطوة.
+
+### الخطوة 1: إنشاء فهرس
+أولاً، وجه `Index` إلى مجلد سيتم تخزين ملفات الفهرس فيه.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### الخطوة 2: إضافة مستندات إلى الفهرس
+أخبر GroupDocs.Search بمكان وجود المستندات المصدرية. جميع أنواع الملفات المدعومة (PDF، DOCX، TXT، إلخ) سيتم فهرستها تلقائيًا.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### الخطوة 3: تنفيذ بحث في حقل المحتوى باستخدام استعلام نصي
+استعلام نصي سريع يصفى حسب حقل `content`. الصيغة `content: Pellentesque` تقصر النتائج على المستندات التي تحتوي على كلمة *Pellentesque* في نصها.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### الخطوة 4: تنفيذ بحث باستخدام استعلام كائن
+توفر الاستعلامات المبنية على الكائنات تحكمًا دقيقًا. هنا نبني استعلام كلمة، نغلفه في استعلام حقل، ثم ننفذه.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## كيفية إنشاء فهرس بحث Java – بحث استعلام معقد
+
+تجمع الاستعلامات المعقدة بين حقول متعددة، عوامل Boolean، والبحث عن عبارات. هذا مثالي لسيناريوهات مثل فلاتر التجارة الإلكترونية أو البحث في المستندات القانونية.
+
+### الخطوة 1: إنشاء فهرس للاستعلامات المعقدة
+أعد استخدام نفس بنية المجلد؛ يمكنك مشاركة الفهرس عبر السيناريوهات البسيطة والمعقدة.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### الخطوة 2: تنفيذ بحث باستخدام استعلام نصي
+الاستعلام التالي يبحث عن ملفات باسم *lorem* **و** *ipsum* **أو** محتوى يحتوي على أي من العبارتين الدقيقتين.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### الخطوة 3: تنفيذ بحث باستخدام استعلام كائن
+إنشاء مبني على الكائنات يعكس الاستعلام النصي لكنه يوفر أمان النوع ومساعدة IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## تطبيقات عملية للبحث الموجه والمعقد
+
+| السيناريو | كيف يساعد الفهرسة الموجهة | استعلام مثال |
+|----------|---------------------------|--------------|
+| **كتالوج التجارة الإلكترونية** | تصفية حسب الفئة، السعر، العلامة التجارية | `category: Electronics AND price:[100 TO 500]` |
+| **مستودع المستندات القانونية** | تضييق حسب رقم القضية، الاختصاص | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **أرشيفات البحث** | دمج المؤلف، سنة النشر، الكلمات المفتاحية | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **الإنترانت المؤسسية** | البحث حسب نوع الملف والقسم | `filetype: pdf AND department: HR` |
+
+## المشكلات الشائعة وإصلاح الأخطاء
+- **Empty results** – تحقق من أن المستندات قد أضيفت بنجاح (`index.getDocumentCount()` يمكن أن يساعد).
+- **Stale index** – بعد إضافة أو إزالة ملفات، استدعِ `index.update()` لإبقاء الفهرس متزامنًا.
+- **Incorrect field names** – استخدم ثوابت `CommonFieldNames` (`Content`, `FileName`, إلخ) لتجنب الأخطاء الإملائية.
+- **Performance bottlenecks** – للمجموعات الضخمة، فكر في تمكين `index.setCacheSize()` أو استخدام SSD مخصص لمجلد الفهرس.
+
+## الأسئلة المتكررة
+
+**س: هل يمكنني استخدام GroupDocs.Search مع Spring Boot؟**
+ج: بالتأكيد. فقط أضف تبعية Maven، قم بتكوين الفهرس كـ Spring bean، وقم بحقنه حيثما تحتاج.
+
+**س: هل تدعم المكتبة حقول بيانات تعريف مخصصة؟**
+ج: نعم – يمكنك إضافة حقول معرفة من قبل المستخدم أثناء الفهرسة ثم إجراء الفهرسة الموجهة عليها.
+
+**س: ما هو الحد الأقصى لحجم الفهرس؟**
+ج: الفهرس يعتمد على القرص ويمكنه التعامل مع ملايين المستندات؛ فقط تأكد من وجود مساحة تخزين كافية ومراقبة إعدادات الذاكرة المؤقتة.
+
+**س: هل هناك طريقة لترتيب النتائج حسب الصلة؟**
+ج: GroupDocs.Search يقيّم التطابقات تلقائيًا؛ يمكنك استرجاع الدرجة عبر `SearchResult.getDocument(i).getScore()`.
+
+**س: ماذا يحدث إذا قمت بفهرسة ملفات PDF مشفرة؟**
+ج: قدم كلمة المرور عند إضافة المستند: `index.add(filePath, password)`.
+
+## الخلاصة
+
+بحلول الآن يجب أن تكون مرتاحًا في **create a search index Java** باستخدام GroupDocs.Search، إضافة المستندات، وصياغة كل من استعلامات البحث الموجه البسيطة والبحث Boolean المتقدم. هذه القدرات تمكنك من تقديم تجارب بحث سريعة، دقيقة، وسهلة الاستخدام عبر مجموعة واسعة من التطبيقات—من منصات التجارة الإلكترونية إلى قواعد المعرفة المؤسسية.
+
+هل أنت مستعد للخطوة التالية؟ استكشف الميزات المتقدمة لـ **GroupDocs.Search** مثل **highlighting**، **suggestions**، و **real‑time indexing** لتعزيز قوة البحث في تطبيقك.
+
+---
+
+**آخر تحديث:** 2025-12-16
+**تم الاختبار مع:** GroupDocs.Search 25.4 for Java
+**المؤلف:** GroupDocs
\ No newline at end of file
diff --git a/content/arabic/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/arabic/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
new file mode 100644
index 00000000..250e9b38
--- /dev/null
+++ b/content/arabic/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
@@ -0,0 +1,248 @@
+---
+date: '2025-12-16'
+description: تعلم كيفية تنفيذ بحث نطاق التاريخ وميزات البحث المتقدمة الأخرى مثل البحث
+ الموجه باستخدام Java باستخدام GroupDocs.Search للغة Java، بما في ذلك معالجة الأخطاء
+ وتحسين الأداء.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - البحث عن نطاق التاريخ والميزات المتقدمة'
+type: docs
+url: /ar/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# إتقان GroupDocs.Search Java: البحث بنطاق التاريخ والميزات المتقدمة
+
+في التطبيقات المعتمدة على البيانات اليوم، **البحث بنطاق التاريخ** هو قدرة أساسية تتيح لك تصفية المستندات وفق فترات زمنية، مما يحسن الصلة والسرعة بشكل كبير. سواءً كنت تبني بوابة امتثال، أو كتالوجًا للتجارة الإلكترونية، أو نظامًا لإدارة المحتوى، فإن إتقان البحث بنطاق التاريخ إلى جانب أنواع الاستعلام القوية الأخرى سيجعل حلك مرنًا وقويًا. يوضح هذا الدليل معالجة الأخطاء، مجموعة كاملة من أنواع الاستعلامات، ونصائح الأداء، كل ذلك مع شفرة Java حقيقية يمكنك نسخها ولصقها.
+
+## إجابات سريعة
+- **ما هو البحث بنطاق التاريخ؟** تصفية المستندات التي تحتوي على تواريخ ضمن فترة بدء‑نهاية محددة.
+- **أي مكتبة توفره؟** GroupDocs.Search للـ Java.
+- **هل أحتاج إلى ترخيص؟** النسخة التجريبية المجانية تكفي للتطوير؛ يلزم ترخيص إنتاج للاستخدام التجاري.
+- **هل يمكن دمجه مع استعلامات أخرى؟** نعم—يمكنك دمج نطاقات التاريخ مع استعلامات بوليانية، أو موجهة، أو regex.
+- **هل هو سريع للمجموعات الكبيرة؟** عندما يتم فهرستها بشكل صحيح، تُجرى عمليات البحث في أقل من ثانية حتى على ملايين السجلات.
+
+## ما هو البحث بنطاق التاريخ؟
+يتيح لك البحث بنطاق التاريخ العثور على المستندات التي تشمل تواريخ تقع بين حدين، مثل “2023‑01‑01 ~~ 2023‑12‑31”. وهو أساسي للتقارير، وسجلات التدقيق، وأي سيناريو يتطلب تصفية زمنية.
+
+## لماذا نستخدم GroupDocs.Search للـ Java؟
+توفر GroupDocs.Search واجهة برمجة تطبيقات موحدة للعديد من أنواع الاستعلام—البسيط، wildcard، faceted، numeric، date range، regex، boolean، وphrase—وبذلك يمكنك بناء تجارب بحث متقدمة دون الحاجة إلى مكتبات متعددة. كما أن معالجة الأخطاء المدفوعة بالأحداث تجعل خط أنابيب الفهرسة resilient.
+
+## المتطلبات المسبقة
+- **مكتبة GroupDocs.Search Java** (الإصدار 25.4 أو أحدث).
+- **مجموعة تطوير Java (JDK)** المتوافقة مع مشروعك.
+- Maven لإدارة التبعيات (أو تحميل يدوي).
+
+### المكتبات المطلوبة وإعداد البيئة
+أضف مستودع GroupDocs والاعتماد إلى ملف `pom.xml` الخاص بك:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### إعداد بديل
+للتنزيلات المباشرة، زر [إصدارات GroupDocs.Search للـ Java](https://releases.groupdocs.com/search/java/).
+
+### الترخيص والإعداد الأولي
+ابدأ بنسخة تجريبية مجانية أو ترخيص مؤقت:
+
+- زر [خيارات ترخيص GroupDocs](https://purchase.groupdocs.com/temporary-license/) للحصول على التفاصيل.
+
+الآن لننشئ مجلد الفهرس الذي سيحفظ بياناتك القابلة للبحث.
+
+## إعداد GroupDocs.Search للـ Java
+
+### التهيئة الأساسية
+أولاً، أنشئ كائن `Index` يشير إلى مجلد على القرص:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+أنت الآن تملك بوابة لجميع عمليات البحث.
+
+## دليل التنفيذ
+
+### الميزة 1: معالجة الأخطاء أثناء الفهرسة
+#### كيفية التقاط أخطاء الفهرسة (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*لماذا يهم*: من خلال الاستماع إلى `ErrorOccurred`، يمكنك تسجيل المشكلات، إعادة محاولة الملفات الفاشلة، أو تنبيه المستخدمين دون تعطل العملية بأكملها.
+
+### الميزة 2: استعلام بحث بسيط
+#### ما هو البحث البسيط؟
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*النتيجة*: تُرجع كل مستند يحتوي على المصطلح **volutpat**.
+
+### الميزة 3: استعلام بحث wildcard
+#### كيف يعمل بحث wildcard؟
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*النتيجة*: يطابق كلًا من **affect** و **effect**، مظهرًا قوة الحرف النائب `?`.
+
+### الميزة 4: استعلام بحث موجه (Faceted)
+#### كيفية إجراء بحث موجه في Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*النتيجة*: يحدّ البحث إلى حقل **Content**، مثالي لتصفية النتائج حسب بيانات التعريف مثل الفئة أو المؤلف.
+
+### الميزة 5: استعلام نطاق رقمي
+#### كيفية البحث في نطاقات رقمية
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*النتيجة*: يسترجع المستندات التي تقع قيمها الرقمية بين 2000 و 3000.
+
+### الميزة 6: استعلام نطاق تاريخ
+#### كيفية تنفيذ بحث بنطاق تاريخ
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*التفسير*: من خلال تخصيص `SearchOptions`، تخبر المحرك بالتعرف على التواريخ بصيغة **MM/DD/YYYY**، ثم تسترجع جميع السجلات بين 1 يناير 2000 و 15 يونيو 2001.
+
+### الميزة 7: استعلام بحث تعبير منتظم (Regex)
+#### كيفية تشغيل بحث regex في Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*النتيجة*: يجد تسلسلات من ثلاثة أحرف متماثلة أو أكثر (مثل “aaa”، “111”).
+
+### الميزة 8: استعلام بحث بولياني
+#### كيفية دمج الشروط باستخدام البحث البولياني في Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*النتيجة*: تُرجع المستندات التي تحتوي على **justo** وتستثني أي مستند يحتوي أيضًا على **3456**.
+
+### الميزة 9: استعلام بحث بولياني معقد
+#### كيفية صياغة استعلامات بوليانية متقدمة
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*النتيجة*: يبحث عن أسماء ملفات مشابهة لـ “English” (مع السماح بتغييرات 1‑3 أحرف) **أو** محتوى يحتوي على كلٍ من **3456** و **consequat**.
+
+### الميزة 10: استعلام بحث عبارة (Phrase)
+#### كيفية البحث عن عبارات دقيقة
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*النتيجة*: يسترجع فقط المستندات التي تحتوي على العبارة الدقيقة **ipsum dolor sit amet**.
+
+## تطبيقات عملية
+1. **منصات التجارة الإلكترونية** – استخدم البحث الموجه في Java لتصفية المنتجات حسب الحجم، اللون، والعلامة التجارية.
+2. **أنظمة إدارة المحتوى** – دمج البحث البولياني في Java مع بحث العبارة لتوفير أدوات تحرير متقدمة.
+3. **أدوات تحليل البيانات** – استغلال البحث بنطاق التاريخ لإنشاء تقارير ولوحات معلومات زمنية.
+
+## المشكلات الشائعة والحلول
+- **عدم ظهور نتائج للبحث بنطاق التاريخ** – تأكد من أن صيغة التاريخ في مستنداتك تتطابق مع `DateFormat` المخصص الذي أضفته.
+- **استعلامات regex تُعيد عددًا كبيرًا من النتائج** – قم بتحسين النمط أو حدّ نطاق البحث ب qualifiers حقل إضافية.
+- **أخطاء الفهرسة غير مُلتقطة** – تأكد من ربط معالج الحدث **قبل** استدعاء `index.add(...)`.
+
+## الأسئلة المتكررة
+
+**س: هل يمكن دمج البحث بنطاق التاريخ مع أنواع استعلام أخرى؟**
+ج: بالتأكيد. يمكنك دمج شرط نطاق التاريخ مع عوامل بوليانية، فلاتر موجهة، أو أنماط regex في سلسلة استعلام واحدة.
+
+**س: هل يجب إعادة بناء الفهرس بعد تغيير صيغ التاريخ؟**
+ج: نعم. الفهرس يخزن المصطلحات المُجزأة؛ تعديل `SearchOptions` وحده لن يُعيد تجزئة البيانات الموجودة. أعد فهرسة المستندات بعد تغيير الصيغ.
+
+**س: كيف يتعامل GroupDocs.Search مع الفهارس الكبيرة؟**
+ج: يستخدم الفهرسة المتزايدة والتخزين على القرص، مما يتيح لك التوسع إلى ملايين المستندات مع الحفاظ على استهلاك منخفض للذاكرة.
+
+**س: هل هناك حد لعدد أحرف الـ wildcard؟**
+ج: تُعالج الـ wildcards بكفاءة، لكن استخدام العديد من wildcards في بداية الكلمة (مثل `*term`) قد يُبطئ الأداء. يُفضَّل استخدام wildcards في النهاية أو البداية فقط.
+
+**س: أي نموذج ترخيص يُنصح به للإنتاج؟**
+ج: ترخيص دائم أو اشتراك من GroupDocs يضمن لك الحصول على التحديثات، الدعم، والقدرة على النشر دون قيود النسخة التجريبية.
+
+## الخلاصة
+من خلال إتقان **البحث بنطاق التاريخ** ومجموعة الاستعلامات المتقدمة التي تقدمها GroupDocs.Search للـ Java، يمكنك بناء تجارب بحث سريعة، غنية بالميزات، ومُحسّنة. نفّذ معالجة أخطاء قوية، اضبط فهرسك، وادمج الاستعلامات لتلبية أي سيناريو استرجاع تقريبًا. ابدأ التجربة اليوم وارتقِ بقدرات وصول البيانات في تطبيقك.
+
+---
+
+**آخر تحديث:** 2025-12-16
+**تم الاختبار مع:** GroupDocs.Search 25.4 (Java)
+**المؤلف:** GroupDocs
\ No newline at end of file
diff --git a/content/chinese/_index.md b/content/chinese/_index.md
new file mode 100644
index 00000000..2d7b2032
--- /dev/null
+++ b/content/chinese/_index.md
@@ -0,0 +1,74 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: 探索面向 .NET 和 Java 开发者的 GroupDocs.Search 教程合集。轻松掌握文档索引、搜索功能和高级特性。
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: GroupDocs.Search 教程 – 解锁文档搜索的强大功能
+type: docs
+url: /zh/
+weight: 11
+---
+
+# GroupDocs.Search 教程 – 解锁文档搜索能力
+
+欢迎来到 **GroupDocs.Search 教程** 中心，这里是您掌握 .NET 和 Java 平台上文档搜索与索引的一站式资源。无论您是在构建小型内部工具还是大型企业级解决方案，这些循序渐进的指南都将帮助您实现快速、准确且可扩展的搜索功能。您将学习从基础索引到高级查询构建的全部内容，同时充分利用 GroupDocs.Search 的强大功能。
+
+## 为什么要使用 GroupDocs.Search 教程？
+
+本教程系列针对真实场景设计，帮助您快速将所学应用到项目中。通过学习这些指南，您将：
+
+- 掌握 **文档索引** 技术的扎实基础。
+- 学会构建高效的 **搜索功能**，能够处理大型文档集合。
+- 探索高级特性，如模糊搜索、结果高亮和分布式搜索网络。
+- 通过针对 .NET 和 Java 环境的清晰示例，显著缩短开发时间。
+
+{{% alert color="primary" %}}
+在 .NET 中通过 GroupDocs.Search 教程探索强大的文档搜索功能。从基础索引到高级搜索技术，我们的教程为各个技能层级的开发者提供全面指导。深入了解布尔搜索、模糊搜索、高亮显示、词典管理以及分布式搜索解决方案，充分释放 GroupDocs.Search 在 .NET 中的全部潜能。提升应用的搜索功能，使用我们易于跟随的教程简化文档发现过程。
+{{% /alert %}}
+
+## GroupDocs.Search for .NET 教程
+
+### 必备 .NET 搜索教程
+
+- [索引](./net/indexing/)
+- [搜索](./net/searching/)
+- [高亮显示](./net/highlighting/)
+- [词典与语言处理](./net/dictionaries-language-processing/)
+- [文档管理](./net/document-management/)
+- [OCR 与图像搜索](./net/ocr-image-search/)
+- [高级功能](./net/advanced-features/)
+- [搜索网络](./net/search-network/)
+- [性能优化](./net/performance-optimization/)
+- [异常处理与日志记录](./net/exception-handling-logging/)
+- [集成与互操作性](./net/integration-interoperability/)
+- [授权与配置](./net/licensing-configuration/)
+- [文本提取与处理](./net/text-extraction-processing/)
+- [查询与查询构建](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+发现面向 Java 的 GroupDocs.Search 全面教程。从基础索引技术到高级搜索功能，我们的逐步指南为 Java 开发者提供实现强大文档搜索解决方案的知识。学习处理包括 PDF、Word、Excel、演示文稿等多种文档格式。掌握创建索引、执行不同类型搜索、结果高亮以及性能优化的技巧，为您的 Java 应用注入稳健的搜索能力。
+{{% /alert %}}
+
+## GroupDocs.Search for Java 教程
+
+### 必备 Java 搜索教程
+
+- [入门指南](./java/getting-started/)
+- [索引](./java/indexing/)
+- [搜索](./java/searching/)
+- [高亮显示](./java/highlighting/)
+- [词典与语言处理](./java/dictionaries-language-processing/)
+- [文档管理](./java/document-management/)
+- [OCR 与图像搜索](./java/ocr-image-search/)
+- [高级功能](./java/advanced-features/)
+- [搜索网络](./java/search-network/)
+- [性能优化](./java/performance-optimization/)
+- [异常处理与日志记录](./java/exception-handling-logging/)
+- [授权与配置](./java/licensing-configuration/)
+- [文本提取与处理](./java/text-extraction-processing/)
+
+---
+
+**最后更新:** 2025-12-16
+**作者:** GroupDocs
\ No newline at end of file
diff --git a/content/chinese/java/advanced-features/_index.md b/content/chinese/java/advanced-features/_index.md
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--- /dev/null
+++ b/content/chinese/java/advanced-features/_index.md
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+---
+date: 2025-12-16
+description: 学习如何使用 GroupDocs.Search Java 教程创建搜索索引并实现日期范围、分面搜索和文档过滤。
+title: 创建搜索索引 - GroupDocs.Search Java 教程
+type: docs
+url: /zh/java/advanced-features/
+weight: 8
+---
+
+# 创建搜索索引：GroupDocs.Search Java 教程
+
+欢迎来到 **创建搜索索引** 的中心，并使用 GroupDocs.Search for Java 解锁高级搜索功能。无论您是想 **实现日期范围** 查询、应用 **文件扩展名过滤 Java**，还是构建 **复杂搜索 Java** 解决方案，这些教程都提供逐步指导、真实案例以及可直接运行的代码。阅读完本指南后，您将了解如何设计可随大型文档集合扩展的强大搜索体验。
+
+## 如何使用 GroupDocs.Search Java 创建搜索索引？
+
+构建稳健的搜索索引是任何高级搜索功能的基础。在下面的教程中，您将了解如何：
+
+* 高效地设置索引并添加文档。
+* 使用元数据和属性来丰富搜索结果。
+* 应用诸如 **document filtering java** 和 **file extension filtering java** 的过滤器，以缩小结果范围。
+* 执行结合多个条件的 **complex search java** 查询，包括 **implement date range** 约束。
+
+## 可用教程
+
+### [基于块的文档搜索（Java）：使用 GroupDocs.Search 的综合指南](./groupdocs-search-java-chunk-based-search-tutorial/)
+了解如何使用 GroupDocs.Search for Java 实现高效的基于块的文档搜索。提升生产力并无缝管理大型数据集。
+
+### [分面和复杂搜索（Java）：掌握 GroupDocs.Search 的高级功能](./faceted-complex-search-groupdocs-java/)
+了解如何在 Java 应用程序中使用 GroupDocs.Search 实现分面和复杂搜索，提升搜索功能和用户体验。
+
+### [实现 GroupDocs.Search Java：综合索引和报告指南](./groupdocs-search-java-index-report-guide/)
+掌握在 Java 中使用 GroupDocs.Search 进行高效的文档索引和报告。通过本详细指南学习创建索引、添加文档以及生成报告。
+
+### [掌握使用 GroupDocs.Search 在 Java 中的日期范围搜索](./master-date-range-searches-groupdocs-java/)
+GroupDocs.Search Java 的代码教程
+
+### [掌握 GroupDocs.Search Java：高效数据检索的高级搜索功能](./groupdocs-search-java-advanced-search-features/)
+学习掌握 GroupDocs.Search for Java 的高级搜索功能，包括错误处理、各种查询类型以及性能优化。
+
+### [掌握使用 GroupDocs.Search 的 Java 文件过滤：一步步指南](./master-java-file-filtering-groupdocs-search/)
+了解如何使用 GroupDocs.Search 在 Java 中高效管理和过滤文件，包括文件扩展名、逻辑运算符等。
+
+### [精通 GroupDocs.Search for Java：文档索引与搜索完整指南](./groupdocs-search-java-implementation-guide/)
+通过本综合指南学习在 Java 中实现 GroupDocs.Search。探索强大的文本提取、序列化、索引和搜索功能。
+
+## 其他资源
+
+- [GroupDocs.Search for Java 文档](https://docs.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java API 参考](https://reference.groupdocs.com/search/java/)
+- [下载 GroupDocs.Search for Java](https://releases.groupdocs.com/search/java/)
+- [GroupDocs.Search 论坛](https://forum.groupdocs.com/c/search)
+- [免费支持](https://forum.groupdocs.com/)
+- [临时许可证](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**最后更新：** 2025-12-16
+**作者：** GroupDocs
\ No newline at end of file
diff --git a/content/chinese/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/chinese/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
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+---
+date: '2025-12-16'
+description: 学习如何使用 GroupDocs.Search 在 Java 中创建搜索索引并实现分面和复杂搜索，提升搜索性能和用户体验。
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: 创建搜索索引 Java – 分面与复杂搜索
+type: docs
+url: /zh/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# 创建搜索索引 Java – 分面和复杂搜索
+
+在 Java 中实现强大的 **search experience** 可能让人感到压力山大，尤其是当你需要 **create search index Java** 项目来处理大型文档集合时。幸运的是，**GroupDocs.Search for Java** 提供了丰富的 API，只需几行代码即可构建分面和复杂查询。在本教程中，你将了解如何设置库，**create a search index Java**，添加文档，并运行简单的分面搜索和复杂的多条件查询。
+
+## 快速答案
+- **What is a faceted search?** 一种通过预定义类别（例如文件类型、日期）过滤结果的方式。
+- **How do I create a search index Java?** 初始化指向文件夹的 `Index` 对象并添加文档。
+- **Can I combine multiple criteria?** 是的——使用基于对象的查询或文本查询中的布尔运算符。
+- **Do I need a license?** 免费试用可用于开发；商业许可证可消除限制。
+- **Which IDE works best?** 任意 Java IDE（IntelliJ IDEA、Eclipse、NetBeans）均可正常使用。
+
+## 什么是 “create search index java”？
+在 Java 中创建搜索索引意味着构建一种可搜索的数据结构，用于存储文档元数据和内容，从而能够基于用户查询快速检索。使用 GroupDocs.Search，索引存放在磁盘上，可增量更新，并支持分面和复杂布尔逻辑等高级功能。
+
+## 为什么在分面和复杂查询中使用 GroupDocs.Search？
+- **Out‑of‑the‑box faceting** – 按文件名、大小或自定义元数据等字段过滤。
+- **Rich query language** – 使用 AND/OR/NOT 运算符混合文本、短语和字段查询。
+- **Scalable performance** – 索引数百万文档，同时保持低搜索延迟。
+- **Pure Java** – 无本机依赖，适用于运行 JDK 8+ 的任何平台。
+
+## 前置条件
+
+在深入之前，请确保你具备以下条件：
+
+- **JDK 8 or newer** 已安装并在 IDE 中配置。
+- **Maven**（或 Gradle）用于依赖管理。
+- **GroupDocs.Search for Java** ≥ 25.4。
+- 对 Java 面向对象概念和 Maven 项目结构有基本了解。
+
+## 设置 GroupDocs.Search for Java
+
+### Maven 设置
+将仓库和依赖添加到你的 `pom.xml` 文件中：
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### 直接下载
+或者，从官方发布页面下载最新的 JAR：
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### 获取许可证
+解锁全部功能：
+
+1. **Free trial** – 适用于开发和测试。
+2. **Temporary evaluation license** – 延长试用限制。
+3. **Commercial license** – 消除生产使用的所有限制。
+
+### 基本初始化和设置
+以下代码片段展示了如何通过实例化 `Index` 类 **create a search index Java**：
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+索引准备好后，我们可以继续进行实际的分面和复杂查询。
+
+## 如何 create search index java – 简单分面搜索
+
+分面搜索让最终用户通过从预定义类别（分面）中选择值来缩小结果范围。以下是逐步演示。
+
+### 步骤 1：创建索引
+首先，将 `Index` 指向用于存储索引文件的文件夹。
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### 步骤 2：向索引添加文档
+告诉 GroupDocs.Search 你的源文档所在位置。所有支持的文件类型（PDF、DOCX、TXT 等）将自动被索引。
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### 步骤 3：使用文本查询在 Content 字段执行搜索
+快速文本查询按 `content` 字段过滤。语法 `content: Pellentesque` 将结果限制为正文中包含单词 *Pellentesque* 的文档。
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### 步骤 4：使用对象查询执行搜索
+基于对象的查询提供细粒度控制。这里我们构建一个词查询，将其包装在字段查询中并执行。
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## 如何 create search index java – 复杂查询搜索
+
+复杂查询结合多个字段、布尔运算符和短语搜索。非常适用于电子商务过滤或法律文档检索等场景。
+
+### 步骤 1：为复杂查询创建索引
+复用相同的文件夹结构；你可以在简单和复杂场景之间共享索引。
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### 步骤 2：使用文本查询执行搜索
+以下查询查找文件名为 *lorem* **and** *ipsum* **or** 内容包含任意两个精确短语的文件。
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### 步骤 3：使用对象查询执行搜索
+基于对象的构造与文本查询相对应，但提供类型安全和 IDE 辅助。
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## 分面与复杂搜索的实际应用
+
+| 场景 | 分面如何帮助 | 示例查询 |
+|----------|-------------------|---------------|
+| **电子商务目录** | 按类别、价格、品牌过滤 | `category: Electronics AND price:[100 TO 500]` |
+| **法律文档库** | 按案件号、司法管辖区缩小范围 | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **研究档案** | 结合作者、出版年份、关键词 | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **企业内联网** | 按文件类型和部门搜索 | `filetype: pdf AND department: HR` |
+
+## 常见陷阱与故障排除
+
+- **Empty results** – 验证文档是否成功添加（可使用 `index.getDocumentCount()` 检查）。
+- **Stale index** – 添加或删除文件后，调用 `index.update()` 以保持索引同步。
+- **Incorrect field names** – 使用 `CommonFieldNames` 常量（`Content`、`FileName` 等）避免拼写错误。
+- **Performance bottlenecks** – 对于庞大集合，考虑启用 `index.setCacheSize()` 或为索引文件夹使用专用 SSD。
+
+## 常见问答
+
+**Q: Can I use GroupDocs.Search with Spring Boot?**
+A: 当然。只需添加 Maven 依赖，将索引配置为 Spring Bean，并在需要的地方注入即可。
+
+**Q: Does the library support custom metadata fields?**
+A: 是的——你可以在索引时添加用户自定义字段，然后在其上进行分面。
+
+**Q: How large can the index grow?**
+A: 索引基于磁盘，可处理数百万文档；只需确保足够的存储空间并监控缓存设置。
+
+**Q: Is there a way to rank results by relevance?**
+A: GroupDocs.Search 会自动为匹配项打分；你可以通过 `SearchResult.getDocument(i).getScore()` 获取分数。
+
+**Q: What happens if I index encrypted PDFs?**
+A: 添加文档时提供密码：`index.add(filePath, password)`。
+
+## 结论
+
+现在，你应该已经能够熟练使用 GroupDocs.Search **create a search index Java**，添加文档，并构建简单的分面查询和复杂的布尔搜索。这些功能使你能够在各种应用中提供快速、准确且用户友好的搜索体验——从电子商务平台到企业知识库。
+
+准备好下一步了吗？探索 **GroupDocs.Search** 的高级功能，如 **highlighting**、**suggestions** 和 **real‑time indexing**，进一步提升应用的搜索能力。
+
+---
+
+**最后更新：** 2025-12-16
+**测试环境：** GroupDocs.Search 25.4 for Java
+**作者：** GroupDocs
\ No newline at end of file
diff --git a/content/chinese/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/chinese/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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--- /dev/null
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@@ -0,0 +1,246 @@
+---
+date: '2025-12-16'
+description: 学习如何使用 GroupDocs.Search for Java 执行日期范围搜索以及其他高级搜索功能，如分面搜索，包括错误处理和性能优化。
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: GroupDocs.Search Java - 日期范围搜索与高级功能
+type: docs
+url: /zh/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# 精通 GroupDocs.Search Java：日期范围搜索与高级功能
+
+在当今数据驱动的应用中，**date range search** 是一项核心能力，能够让您按时间段过滤文档，显著提升相关性和速度。无论您是在构建合规门户、电子商务目录，还是内容管理系统，掌握日期范围搜索以及其他强大的查询类型，都能使您的解决方案既灵活又稳健。本指南将带您了解错误处理、完整的查询类型套件以及性能技巧，所有示例均为可直接复制粘贴的真实 Java 代码。
+
+## 快速答案
+- **什么是日期范围搜索？** 在指定的起始‑结束区间内过滤包含日期的文档。
+- **哪个库提供此功能？** GroupDocs.Search for Java。
+- **需要许可证吗？** 开发阶段可使用免费试用版；商业使用需购买正式许可证。
+- **可以与其他查询组合使用吗？** 可以——将日期范围与布尔、分面或正则查询混合使用。
+- **在大数据集上是否快速？** 只要索引正确，即使在数百万条记录上也能在亚秒级完成搜索。
+
+## 什么是日期范围搜索？
+日期范围搜索让您定位包含介于两个边界之间的日期的文档，例如 “2023‑01‑01 ~~ 2023‑12‑31”。它在报告、审计日志以及任何需要基于时间过滤的场景中至关重要。
+
+## 为什么选择 GroupDocs.Search for Java？
+GroupDocs.Search 为多种查询类型提供统一的 API——简单、通配符、分面、数值、日期范围、正则、布尔和短语——您可以在不切换多个库的情况下构建复杂的搜索体验。其事件驱动的错误处理还能让您的索引管道保持弹性。
+
+## 前置条件
+- **GroupDocs.Search Java 库**（v25.4 或更高）。
+- 与项目兼容的 **Java Development Kit (JDK)**。
+- 用于依赖管理的 Maven（或手动下载）。
+
+### 必需的库和环境设置
+在 `pom.xml` 中添加 GroupDocs 仓库和依赖：
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### 替代设置
+如需直接下载，请访问 [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)。
+
+### 许可证与初始设置
+使用免费试用版或临时许可证开始：
+
+- 访问 [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) 获取详情。
+
+现在让我们创建用于存放可搜索数据的索引文件夹。
+
+## 设置 GroupDocs.Search for Java
+
+### 基本初始化
+首先，实例化指向磁盘文件夹的 `Index` 对象：
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+您现在拥有了所有搜索操作的入口。
+
+## 实施指南
+
+### 功能 1：索引中的错误处理
+#### 如何捕获索引错误（Java）
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*重要性*：通过监听 `ErrorOccurred`，您可以记录问题、重试失败的文件，或在不导致整个过程崩溃的情况下提醒用户。
+
+### 功能 2：简单搜索查询
+#### 什么是简单搜索？
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*结果*：返回每个包含 **volutpat** 词条的文档。
+
+### 功能 3：通配符搜索查询
+#### 通配符搜索是如何工作的？
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*结果*：匹配 **affect** 和 **effect**，展示 `?` 占位符的威力。
+
+### 功能 4：分面搜索查询
+#### 如何在 Java 中执行分面搜索
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*结果*：将搜索限制在 **Content** 字段，适用于按类别或作者等元数据进行过滤。
+
+### 功能 5：数值范围搜索查询
+#### 如何搜索数值范围
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*结果*：检索数值在 2000 到 3000 之间的文档。
+
+### 功能 6：日期范围搜索查询
+#### 如何执行日期范围搜索
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*说明*：通过自定义 `SearchOptions`，您告诉引擎识别 **MM/DD/YYYY** 格式的日期，然后检索所有介于 2000 年 1 月 1 日至 2001 年 6 月 15 日之间的记录。
+
+### 功能 7：正则表达式搜索查询
+#### 如何在 Java 中运行正则搜索
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*结果*：查找三个或以上相同字符的序列（例如 “aaa”、 “111”）。
+
+### 功能 8：布尔搜索查询
+#### 如何在 Java 中使用布尔搜索组合条件
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*结果*：返回包含 **justo** 但不包含 **3456** 的文档。
+
+### 功能 9：复杂布尔搜索查询
+#### 如何构造高级布尔查询
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*结果*：查找文件名类似 “English”（允许 1‑3 个字符变体）**或** 内容同时包含 **3456** 和 **consequat** 的文档。
+
+### 功能 10：短语搜索查询
+#### 如何搜索精确短语
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*结果*：仅检索包含完整短语 **ipsum dolor sit amet** 的文档。
+
+## 实际应用
+1. **电子商务平台** – 使用 Java 分面搜索按尺寸、颜色和品牌过滤商品。
+2. **内容管理系统** – 将布尔搜索与短语搜索结合，为编辑工具提供强大的功能。
+3. **数据分析工具** – 利用日期范围搜索生成基于时间的报告和仪表盘。
+
+## 常见问题与解决方案
+- **日期范围搜索无结果** – 确认文档中的日期格式与您在 `DateFormat` 中自定义的格式一致。
+- **正则查询返回过多命中** – 优化正则模式或使用额外的字段限定来缩小搜索范围。
+- **索引错误未被捕获** – 确保在调用 `index.add(...)` 之前已附加事件处理器。
+
+## 常见问答
+
+**问：我可以将日期范围搜索与其他查询类型混合使用吗？**
+答：完全可以。您可以在单个查询字符串中将日期范围子句与布尔运算符、分面过滤或正则模式组合。
+
+**问：更改日期格式后需要重新构建索引吗？**
+答：需要。索引存储的是分词后的术语，仅修改 `SearchOptions` 并不会重新分词已有数据。更改格式后请重新索引文档。
+
+**问：GroupDocs.Search 如何处理大规模索引？**
+答：它采用增量索引和磁盘存储，能够在保持低内存占用的同时扩展到数百万文档。
+
+**问：通配符字符数量是否有限制？**
+答：通配符处理效率高，但大量前置通配符（如 `*term`）会降低性能。建议使用前缀或后缀通配符。
+
+**问：生产环境推荐使用哪种授权模式？**
+答：使用 GroupDocs 的永久授权或订阅授权，可获得更新、技术支持以及无试用限制的部署权限。
+
+## 结论
+通过精通 **date range search** 以及 GroupDocs.Search for Java 提供的完整高级查询类型，您可以构建高响应、功能丰富的搜索体验。实现稳健的错误处理、细致调优索引，并组合多种查询，以满足几乎所有检索场景。立即开始实验，提升应用的数据访问能力。
+
+---
+
+**最后更新：** 2025-12-16
+**测试环境：** GroupDocs.Search 25.4 (Java)
+**作者：** GroupDocs
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Prozkoumejte sbírku tutoriálů GroupDocs.Search pro vývojáře .NET a Java.
+ Ovládněte indexování dokumentů, vyhledávací možnosti a pokročilé funkce bez námahy.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: Návod GroupDocs.Search – Odemkněte sílu vyhledávání v dokumentech
+type: docs
+url: /cs/
+weight: 11
+---
+
+# GroupDocs.Search Tutorial – Odemkněte sílu vyhledávání dokumentů
+
+Vítejte v hubu **GroupDocs.Search tutorial**, vašem jednosměrném cíli pro zvládnutí vyhledávání dokumentů a indexování napříč platformami .NET a Java. Ať už vytváříte malý interní nástroj nebo rozsáhlé podnikové řešení, tyto krok‑za‑krokem průvodce vám pomohou implementovat rychlou, přesnou a škálovatelnou funkci vyhledávání. Naučíte se vše od základního indexování po sofistikované vytváření dotazů, a to vše s využitím plné síly GroupDocs.Search.
+
+## Proč použít tutoriál GroupDocs.Search?
+
+Série tutoriálů je navržena s ohledem na reálné scénáře, takže můžete rychle aplikovat to, co se naučíte, na své projekty. Dodržováním těchto průvodců získáte:
+
+- Získáte solidní pochopení technik **document indexing**.
+- Naučíte se vytvářet efektivní **search capabilities**, které zvládnou velké kolekce dokumentů.
+- Prozkoumáte pokročilé funkce, jako je fuzzy search, highlighting a distribuované vyhledávací sítě.
+- Snížíte čas vývoje díky jasným, na příkladech založeným instrukcím pro prostředí .NET i Java.
+
+{{% alert color="primary" %}}
+Prozkoumejte výkonné možnosti vyhledávání dokumentů v .NET pomocí tutoriálů GroupDocs.Search. Od základního indexování po pokročilé techniky vyhledávání, naše tutoriály nabízejí komplexní vedení pro vývojáře všech úrovní dovedností. Ponořte se do různých témat, jako je boolean search, fuzzy search, highlighting, správa slovníků a distribuovaná vyhledávací řešení, a odemkněte plný potenciál GroupDocs.Search pro .NET. Zvyšte funkčnost vyhledávání ve své aplikaci a zjednodušte objevování dokumentů pomocí našich snadno sledovatelných tutoriálů.
+{{% /alert %}}
+
+## GroupDocs.Search pro .NET tutoriály
+
+### Základní .NET vyhledávací tutoriály
+
+- [Indexování](./net/indexing/)
+- [Vyhledávání](./net/searching/)
+- [Zvýrazňování](./net/highlighting/)
+- [Slovníky a zpracování jazyka](./net/dictionaries-language-processing/)
+- [Správa dokumentů](./net/document-management/)
+- [OCR a vyhledávání obrázků](./net/ocr-image-search/)
+- [Pokročilé funkce](./net/advanced-features/)
+- [Vyhledávací síť](./net/search-network/)
+- [Optimalizace výkonu](./net/performance-optimization/)
+- [Zpracování výjimek a logování](./net/exception-handling-logging/)
+- [Integrace a interoperabilita](./net/integration-interoperability/)
+- [Licencování a konfigurace](./net/licensing-configuration/)
+- [Extrahování textu a zpracování](./net/text-extraction-processing/)
+- [Dotazy a tvorba dotazů](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Objevte komplexní tutoriály pro GroupDocs.Search v Javě. Od základních technik indexování po pokročilou funkčnost vyhledávání, naše krok‑za‑krokem průvodce poskytují vývojářům Java znalosti potřebné k implementaci výkonných řešení vyhledávání dokumentů. Naučte se pracovat s různými formáty dokumentů včetně PDF, Word, Excel, prezentací a dalších. Ovládněte techniky pro vytváření indexů, provádění různých typů vyhledávání, zvýrazňování výsledků a optimalizaci výkonu, abyste vylepšili své Java aplikace robustními vyhledávacími schopnostmi.
+{{% /alert %}}
+
+## GroupDocs.Search pro Java tutoriály
+
+### Základní Java vyhledávací tutoriály
+
+- [Začínáme](./java/getting-started/)
+- [Indexování](./java/indexing/)
+- [Vyhledávání](./java/searching/)
+- [Zvýrazňování](./java/highlighting/)
+- [Slovníky a zpracování jazyka](./java/dictionaries-language-processing/)
+- [Správa dokumentů](./java/document-management/)
+- [OCR a vyhledávání obrázků](./java/ocr-image-search/)
+- [Pokročilé funkce](./java/advanced-features/)
+- [Vyhledávací síť](./java/search-network/)
+- [Optimalizace výkonu](./java/performance-optimization/)
+- [Zpracování výjimek a logování](./java/exception-handling-logging/)
+- [Licencování a konfigurace](./java/licensing-configuration/)
+- [Extrahování textu a zpracování](./java/text-extraction-processing/)
+
+---
+
+**Poslední aktualizace:** 2025-12-16
+**Autor:** GroupDocs
\ No newline at end of file
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+---
+date: 2025-12-16
+description: Naučte se, jak vytvořit vyhledávací index a implementovat časový rozsah,
+ faceted vyhledávání a filtrování dokumentů pomocí Java tutoriálů GroupDocs.Search.
+title: 'Vytvořit vyhledávací index - GroupDocs.Search Java tutoriály'
+type: docs
+url: /cs/java/advanced-features/
+weight: 8
+---
+
+# Vytvoření vyhledávacího indexu: GroupDocs.Search Java Tutorials
+
+Vítejte v centru pro **vytváření vyhledávacího indexu** a odemykání pokročilých vyhledávacích možností s GroupDocs.Search pro Java. Ať už hledáte **implementaci dotazů s rozsahem dat**, aplikaci **file extension filtering Java**, nebo vytváření **complex search Java** řešení, tyto tutoriály vám poskytnou krok‑za‑krokem vedení, reálné příklady a připravený kód. Na konci tohoto průvodce pochopíte, jak navrhnout výkonné vyhledávací zážitky, které škálují s velkými kolekcemi dokumentů.
+
+## Jak vytvořit vyhledávací index pomocí GroupDocs.Search Java?
+
+Budování robustního vyhledávacího indexu je základem pro jakoukoli sofistikovanou vyhledávací funkci. V níže uvedených tutoriálech uvidíte, jak:
+
+* Efektivně nastavit index a přidávat dokumenty.
+* Použít metadata a atributy k obohacení výsledků vyhledávání.
+* Použít filtry, jako jsou **document filtering java** a **file extension filtering java**, k zúžení výsledků.
+* Spustit **complex search java** dotazy, které kombinují více kritérií, včetně omezení **implement date range**.
+
+## Dostupné tutoriály
+
+### [Chunk-Based Document Search v Javě: Komplexní průvodce používáním GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Naučte se implementovat efektivní vyhledávání dokumentů po částech s GroupDocs.Search pro Java. Zvyšte produktivitu a spravujte velké datové sady plynule.
+
+### [Faceted a komplexní vyhledávání v Javě: Ovládněte GroupDocs.Search pro pokročilé funkce](./faceted-complex-search-groupdocs-java/)
+Naučte se implementovat faceted a komplexní vyhledávání v Java aplikacích pomocí GroupDocs.Search, čímž zlepšíte funkčnost vyhledávání a uživatelský zážitek.
+
+### [Implementace GroupDocs.Search Java: Komplexní průvodce indexováním a reportováním](./groupdocs-search-java-index-report-guide/)
+Ovládněte GroupDocs.Search v Javě pro efektivní indexování dokumentů a reportování. Naučte se vytvářet indexy, přidávat dokumenty a generovat reporty s tímto podrobným průvodcem.
+
+### [Ovládněte vyhledávání v rozmezí dat v Javě s GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Kódový tutoriál pro GroupDocs.Search Java
+
+### [Ovládněte GroupDocs.Search Java: Pokročilé vyhledávací funkce pro efektivní získávání dat](./groupdocs-search-java-advanced-search-features/)
+Naučte se ovládat pokročilé vyhledávací funkce v GroupDocs.Search pro Java, včetně zpracování chyb, různých typů dotazů a optimalizace výkonu.
+
+### [Ovládněte filtrování souborů v Javě pomocí GroupDocs.Search: Průvodce krok za krokem](./master-java-file-filtering-groupdocs-search/)
+Naučte se efektivně spravovat a filtrovat soubory v Javě pomocí GroupDocs.Search, včetně filtrování podle přípony souboru, logických operátorů a dalších možností.
+
+### [Ovládání GroupDocs.Search pro Java: Váš kompletní průvodce indexováním dokumentů a vyhledáváním](./groupdocs-search-java-implementation-guide/)
+Naučte se implementovat GroupDocs.Search v Javě s tímto komplexním průvodcem. Objevte robustní extrakci textu, serializaci, indexování a vyhledávací funkce.
+
+## Další zdroje
+
+- [Dokumentace GroupDocs.Search pro Java](https://docs.groupdocs.com/search/java/)
+- [Reference API GroupDocs.Search pro Java](https://reference.groupdocs.com/search/java/)
+- [Stáhnout GroupDocs.Search pro Java](https://releases.groupdocs.com/search/java/)
+- [Fórum GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [Bezplatná podpora](https://forum.groupdocs.com/)
+- [Dočasná licence](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Poslední aktualizace:** 2025-12-16
+**Autor:** GroupDocs
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diff --git a/content/czech/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/czech/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/czech/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -0,0 +1,258 @@
+---
+date: '2025-12-16'
+description: Naučte se, jak vytvořit vyhledávací index v Javě a implementovat fasetové
+ a komplexní vyhledávání pomocí GroupDocs.Search, čímž zvýšíte výkon vyhledávání
+ a uživatelský zážitek.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Vytvoření vyhledávacího indexu v Javě – Facetové a komplexní vyhledávání
+type: docs
+url: /cs/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Vytvoření vyhledávacího indexu Java – Facetové a komplexní vyhledávání
+
+Implementace výkonného **search experience** v Javě může působit ohromujícím dojmem, zejména když potřebujete **create search index Java** projekty, které pracují s velkými kolekcemi dokumentů. Naštěstí **GroupDocs.Search for Java** poskytuje bohaté API, které vám umožní vytvořit facetové a komplexní dotazy pomocí několika řádků kódu. V tomto tutoriálu se dozvíte, jak nastavit knihovnu, **create a search index Java**, přidat dokumenty a spustit jak jednoduché facetové vyhledávání, tak sofistikované dotazy s více kritérii.
+
+## Rychlé odpovědi
+- **Co je facetové vyhledávání?** Způsob filtrování výsledků podle předdefinovaných kategorií (např. typ souboru, datum).
+- **Jak vytvořím search index Java?** Inicializujte objekt `Index`, který ukazuje na složku, a přidejte dokumenty.
+- **Mohu kombinovat více kritérií?** Ano – použijte dotazy založené na objektech nebo Boolean operátory v textovém dotazu.
+- **Potřebuji licenci?** Bezplatná zkušební verze funguje pro vývoj; komerční licence odstraňuje omezení.
+- **Které IDE je nejlepší?** Jakékoli Java IDE (IntelliJ IDEA, Eclipse, NetBeans) funguje bez problémů.
+
+## Co znamená „create search index java“?
+Vytvoření vyhledávacího indexu v Javě znamená postavit vyhledávatelnou datovou strukturu, která ukládá metadata a obsah dokumentů a umožňuje rychlé vyhledávání na základě uživatelských dotazů. S GroupDocs.Search index žije na disku, lze jej inkrementálně aktualizovat a podporuje pokročilé funkce jako faceting a komplexní Boolean logiku.
+
+## Proč použít GroupDocs.Search pro facetové a komplexní dotazy?
+- **Out‑of‑the‑box faceting** – filtrování podle polí jako název souboru, velikost nebo vlastní metadata.
+- **Rich query language** – kombinujte textové, fráze a pole dotazy pomocí operátorů AND/OR/NOT.
+- **Scalable performance** – indexuje miliony dokumentů při nízké latenci vyhledávání.
+- **Pure Java** – žádné nativní závislosti, funguje na jakékoli platformě s JDK 8+.
+
+## Předpoklady
+
+Než se pustíme dál, ujistěte se, že máte následující:
+
+- **JDK 8 nebo novější** nainstalovaný a nastavený ve vašem IDE.
+- **Maven** (nebo Gradle) pro správu závislostí.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Základní znalost OOP konceptů v Javě a struktury Maven projektu.
+
+## Nastavení GroupDocs.Search pro Java
+
+### Maven Setup
+Přidejte repozitář a závislost do souboru `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Přímé stažení
+Alternativně si stáhněte nejnovější JAR z oficiální stránky vydání:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Získání licence
+Pro odemknutí plné funkčnosti:
+
+1. **Free trial** – ideální pro vývoj a testování.
+2. **Temporary evaluation license** – prodlužuje limity zkušební verze.
+3. **Commercial license** – odstraňuje všechna omezení pro produkční nasazení.
+
+### Základní inicializace a nastavení
+Následující úryvek ukazuje, jak **create a search index Java** vytvořením instance třídy `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+S připraveným indexem můžeme přejít k reálným facetovým a komplexním dotazům.
+
+## Jak vytvořit search index java – Jednoduché facetové vyhledávání
+
+Facetové vyhledávání umožňuje koncovým uživatelům zužovat výsledky výběrem hodnot z předdefinovaných kategorií (facets). Níže je krok‑za‑krokem průvodce.
+
+### Krok 1: Vytvořte index
+Nejprve nasměrujte `Index` na složku, kde budou uloženy soubory indexu.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Krok 2: Přidejte dokumenty do indexu
+Řekněte GroupDocs.Search, kde se nacházejí vaše zdrojové dokumenty. Všechny podporované typy souborů (PDF, DOCX, TXT, atd.) budou automaticky indexovány.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Krok 3: Proveďte vyhledávání v poli Content pomocí textového dotazu
+Rychlý textový dotaz filtruje podle pole `content`. Syntaxe `content: Pellentesque` omezuje výsledky na dokumenty obsahující slovo *Pellentesque* v těle textu.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Krok 4: Proveďte vyhledávání pomocí objektového dotazu
+Objektové dotazy vám dávají detailní kontrolu. Zde vytvoříme word query, zabalíme jej do field query a spustíme jej.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Jak vytvořit search index java – Komplexní vyhledávání
+
+Komplexní dotazy kombinují více polí, Boolean operátory a vyhledávání frází. To je ideální pro scénáře jako e‑commerce filtry nebo právní výzkum dokumentů.
+
+### Krok 1: Vytvořte index pro komplexní dotazy
+Použijte stejnou strukturu složek; index můžete sdílet mezi jednoduchými i komplexními scénáři.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Krok 2: Proveďte vyhledávání pomocí textového dotazu
+Následující dotaz hledá soubory pojmenované *lorem* **and** *ipsum* **or** obsahující některou ze dvou přesných frází.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Krok 3: Proveďte vyhledávání pomocí objektového dotazu
+Objektová konstrukce odráží textový dotaz, ale nabízí typovou bezpečnost a asistenci IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Praktické aplikace facetových a komplexních vyhledávání
+
+| Scénář | Jak faceting pomáhá | Příklad dotazu |
+|----------|-------------------|---------------|
+| **E‑commerce katalog** | Filtrování podle kategorie, ceny, značky | `category: Electronics AND price:[100 TO 500]` |
+| **Repozitář právních dokumentů** | Zúžení podle čísla případu, jurisdikce | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Výzkumné archivy** | Kombinace autora, roku publikace, klíčových slov | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Enterprise intranet** | Vyhledávání podle typu souboru a oddělení | `filetype: pdf AND department: HR` |
+
+Tyto příklady ukazují, proč je ovládání technik **create search index java** klíčové pro jakoukoli aplikaci pracující s velkým objemem dat.
+
+## Časté chyby a řešení problémů
+
+- **Prázdné výsledky** – Ověřte, že dokumenty byly úspěšně přidány (`index.getDocumentCount()` může pomoci).
+- **Zastaralý index** – Po přidání nebo odebrání souborů zavolejte `index.update()` pro synchronizaci indexu.
+- **Nesprávné názvy polí** – Používejte konstanty `CommonFieldNames` (`Content`, `FileName`, atd.) k zabránění překlepům.
+- **Výkonnostní úzká místa** – U velkých kolekcí zvažte nastavení `index.setCacheSize()` nebo použití dedikovaného SSD pro složku indexu.
+
+## Často kladené otázky
+
+**Q: Můžu použít GroupDocs.Search se Spring Boot?**
+A: Rozhodně. Stačí přidat Maven závislost, nakonfigurovat index jako Spring bean a injektovat jej tam, kde je potřeba.
+
+**Q: Podporuje knihovna vlastní metadata pole?**
+A: Ano – můžete během indexování přidat uživatelem definovaná pole a následně na nich provádět faceting.
+
+**Q: Jak velký může index narůst?**
+A: Index je disk‑based a zvládne miliony dokumentů; jen zajistěte dostatečné úložiště a monitorujte nastavení cache.
+
+**Q: Existuje způsob, jak řadit výsledky podle relevance?**
+A: GroupDocs.Search automaticky skóruje shody; skóre můžete získat pomocí `SearchResult.getDocument(i).getScore()`.
+
+**Q: Co se stane, když indexuji šifrované PDF?**
+A: Při přidávání dokumentu poskytněte heslo: `index.add(filePath, password)`.
+
+## Závěr
+
+Do tohoto okamžiku byste měli být schopni **create a search index Java** pomocí GroupDocs.Search, přidávat dokumenty a vytvářet jak jednoduché facetové dotazy, tak sofistikované Boolean vyhledávání. Tyto schopnosti vám umožní poskytovat rychlé, přesné a uživatelsky přívětivé vyhledávací zážitky napříč širokou škálou aplikací – od e‑commerce platforem po podnikové znalostní báze.
+
+Jste připraveni na další krok? Prozkoumejte pokročilé funkce **GroupDocs.Search**, jako jsou **highlighting**, **suggestions** a **real‑time indexing**, které ještě více posílí vyhledávací sílu vaší aplikace.
+
+---
+
+**Poslední aktualizace:** 2025-12-16
+**Testováno s:** GroupDocs.Search 25.4 for Java
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/czech/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/czech/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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--- /dev/null
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@@ -0,0 +1,248 @@
+---
+date: '2025-12-16'
+description: Naučte se, jak provádět vyhledávání v rozmezí dat a další pokročilé funkce
+ vyhledávání, jako je faceted vyhledávání v Javě, pomocí GroupDocs.Search pro Javu,
+ včetně zpracování chyb a optimalizace výkonu.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Vyhledávání v rozmezí dat a pokročilé funkce'
+type: docs
+url: /cs/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Ovládání GroupDocs.Search Java: Vyhledávání v časovém rozmezí a Pokročilé funkce
+
+V dnešních aplikacích řízených daty je **date range search** základní schopností, která vám umožňuje filtrovat dokumenty podle časových období, což výrazně zvyšuje relevance a rychlost. Ať už vytváříte portál pro soulad, e‑commerce katalog nebo systém pro správu obsahu, ovládání date range search spolu s dalšími výkonnými typy dotazů učiní vaše řešení flexibilním a robustním. Tento průvodce vás provede zpracováním chyb, kompletní sadou typů dotazů a tipy na výkon, vše s reálným Java kódem, který můžete zkopírovat a vložit.
+
+## Rychlé odpovědi
+- **What is date range search?** Filtrování dokumentů, které obsahují data v určeném intervalu od začátku do konce.
+- **Which library provides it?** GroupDocs.Search for Java.
+- **Do I need a license?** Bezplatná zkušební verze funguje pro vývoj; pro komerční použití je vyžadována produkční licence.
+- **Can I combine it with other queries?** Ano — kombinujte date range search s boolean, faceted nebo regex dotazy.
+- **Is it fast for large datasets?** Ano, pokud je indexováno správně, vyhledávání probíhá v podsekundovém čase i u milionů záznamů.
+
+## Co je date range search?
+Date range search vám umožňuje najít dokumenty, které obsahují data spadající mezi dvěma hranicemi, například „2023‑01‑01 ~~ 2023‑12‑31“. Je nezbytný pro zprávy, auditní logy a jakýkoli scénář, kde je důležité časové filtrování.
+
+## Proč používat GroupDocs.Search pro Java?
+GroupDocs.Search poskytuje jednotné API pro mnoho typů dotazů — simple, wildcard, faceted, numeric, date range, regex, boolean a phrase — takže můžete vytvářet sofistikované vyhledávací zážitky bez nutnosti používat více knihoven. Jeho událostmi řízené zpracování chyb také udržuje váš indexovací pipeline odolný.
+
+## Předpoklady
+- **GroupDocs.Search Java library** (v25.4 nebo novější).
+- **Java Development Kit (JDK)** kompatibilní s vaším projektem.
+- Maven pro správu závislostí (nebo ruční stažení).
+
+### Požadované knihovny a nastavení prostředí
+Přidejte repository GroupDocs a závislost do vašeho `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Alternativní nastavení
+Pro přímé stažení navštivte [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Licencování a počáteční nastavení
+Začněte s bezplatnou zkušební verzí nebo dočasnou licencí:
+
+- Navštivte [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) pro podrobnosti.
+
+Nyní vytvořme složku indexu, která bude obsahovat vaše prohledávatelná data.
+
+## Nastavení GroupDocs.Search pro Java
+
+### Základní inicializace
+Nejprve vytvořte objekt `Index`, který ukazuje na složku na disku:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Nyní máte bránu ke všem vyhledávacím operacím.
+
+## Průvodce implementací
+
+### Funkce 1: Zpracování chyb při indexování
+#### Jak zachytit chyby při indexování (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Proč je to důležité*: Posloucháním události `ErrorOccurred` můžete zaznamenávat problémy, znovu zkusit neúspěšné soubory nebo upozornit uživatele, aniž by došlo k pádu celého procesu.
+
+### Funkce 2: Jednoduchý vyhledávací dotaz
+#### Co je jednoduché vyhledávání?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Výsledek*: Vrátí každý dokument obsahující termín **volutpat**.
+
+### Funkce 3: Vyhledávání s divokou kartou
+#### Jak funguje vyhledávání s divokou kartou?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Výsledek*: Odpovídá jak **affect**, tak **effect**, což ukazuje sílu zástupného znaku `?`.
+
+### Funkce 4: Facetované vyhledávání
+#### Jak provést faceted search v Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Výsledek*: Omezuje vyhledávání na pole **Content**, ideální pro filtrování podle metadat, jako je kategorie nebo autor.
+
+### Funkce 5: Vyhledávání číselného rozsahu
+#### Jak vyhledávat číselné rozsahy
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Výsledek*: Získá dokumenty, kde číselné hodnoty spadají mezi 2000 a 3000.
+
+### Funkce 6: Vyhledávání v časovém rozmezí
+#### Jak provést date range search
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Vysvětlení*: Přizpůsobením `SearchOptions` řeknete enginu, aby rozpoznával data ve formátu **MM/DD/YYYY**, a poté získá všechny záznamy mezi 1. lednem 2000 a 15. červnem 2001.
+
+### Funkce 7: Vyhledávání regulárním výrazem
+#### Jak spustit regex search v Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Výsledek*: Najde sekvence tří nebo více stejných znaků (např. „aaa“, „111“).
+
+### Funkce 8: Boolean vyhledávání
+#### Jak kombinovat podmínky pomocí boolean search v Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Výsledek*: Vrátí dokumenty obsahující **justo**, ale vyloučí všechny, které také obsahují **3456**.
+
+### Funkce 9: Komplexní Boolean vyhledávání
+#### Jak vytvořit pokročilé boolean dotazy
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Výsledek*: Hledá názvy souborů podobné „English“ (s 1‑3 znakovými odchylkami) **nebo** obsah, který obsahuje jak **3456**, tak **consequat**.
+
+### Funkce 10: Vyhledávání fráze
+#### Jak vyhledávat přesné fráze
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Výsledek*: Vrátí pouze dokumenty, které obsahují přesnou frázi **ipsum dolor sit amet**.
+
+## Praktické aplikace
+1. **E‑commerce Platforms** – Použijte faceted search v Java k filtrování produktů podle velikosti, barvy a značky.
+2. **Content Management Systems** – Kombinujte boolean search v Java s vyhledáváním frází pro pokročilé editační nástroje.
+3. **Data Analysis Tools** – Využijte date range search k tvorbě časově orientovaných zpráv a dashboardů.
+
+## Časté problémy a řešení
+- **No results for date range search** – Ověřte, že formát data ve vašich dokumentech odpovídá vlastnímu `DateFormat`, který jste přidali.
+- **Regex queries return too many hits** – Upřesněte vzor nebo omezte rozsah vyhledávání pomocí dalších specifikátorů pole.
+- **Indexing errors not captured** – Ujistěte se, že je obslužná rutina události připojena **před** voláním `index.add(...)`.
+
+## Často kladené otázky
+
+**Q: Mohu kombinovat date range search s jinými typy dotazů?**
+A: Ano. Můžete kombinovat klauzuli date range search s boolean operátory, faceted filtry nebo regex vzory v jednom dotazovém řetězci.
+
+**Q: Musím přestavět index po změně formátů dat?**
+A: Ano. Index ukládá tokenizované termíny; pouhá aktualizace `SearchOptions` neprovádí re-tokenizaci existujících dat. Po změně formátů je nutné dokumenty znovu indexovat.
+
+**Q: Jak GroupDocs.Search zachází s velkými indexy?**
+A: Používá inkrementální indexování a úložiště na disku, což vám umožní škálovat na miliony dokumentů při nízké spotřebě paměti.
+
+**Q: Existuje limit na počet znaků wildcard?**
+A: Wildcardy jsou zpracovávány efektivně, ale použití mnoha úvodních wildcardů (např. `*term`) může snížit výkon. Upřednostněte prefixové nebo suffixové wildcardy.
+
+**Q: Jaký licenční model se doporučuje pro produkci?**
+A: Perpetuální nebo předplatitelská licence od GroupDocs vám zajišťuje aktualizace, podporu a možnost nasazení bez omezení zkušební verze.
+
+## Závěr
+Ovládnutím **date range search** a celé sady pokročilých typů dotazů nabízených GroupDocs.Search pro Java můžete vytvořit vysoce responzivní, funkčně bohaté vyhledávací zážitky. Implementujte robustní zpracování chyb, dolaďte svůj index a kombinujte dotazy tak, aby vyhovovaly prakticky jakémukoli scénáři vyhledávání. Začněte dnes experimentovat a posuňte schopnosti přístupu k datům vaší aplikace na vyšší úroveň.
+
+---
+
+**Poslední aktualizace:** 2025-12-16
+**Testováno s:** GroupDocs.Search 25.4 (Java)
+**Autor:** GroupDocs
\ No newline at end of file
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--- /dev/null
+++ b/content/dutch/_index.md
@@ -0,0 +1,75 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Verken de GroupDocs.Search‑tutorialcollectie voor .NET‑ en Java‑ontwikkelaars.
+ Beheers documentindexering, zoekfunctionaliteit en geavanceerde functies moeiteloos.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: GroupDocs.Search Tutorial – Ontgrendel de kracht van document zoeken
+type: docs
+url: /nl/
+weight: 11
+---
+
+# GroupDocs.Search Tutorial – Ontgrendel de kracht van document zoeken
+
+Welkom bij de **GroupDocs.Search tutorial** hub, uw alles‑in‑één bestemming om document zoeken en indexering onder de knie te krijgen op .NET- en Java-platformen. Of u nu een klein intern hulpmiddel bouwt of een grootschalige enterprise‑oplossing, deze stap‑voor‑stap‑gidsen helpen u snelle, nauwkeurige en schaalbare zoekfunctionaliteit te implementeren. U leert alles van basisindexering tot geavanceerde query‑opbouw, terwijl u de volledige kracht van GroupDocs.Search benut.
+
+## Waarom de GroupDocs.Search Tutorial gebruiken?
+
+De tutorialreeks is ontworpen met real‑world scenario's in gedachten, zodat u snel kunt toepassen wat u leert in uw projecten. Door deze gidsen te volgen zult u:
+
+- Een solide begrip van **document indexing** technieken verwerven.
+- Leren hoe u efficiënte **search capabilities** kunt creëren die grote documentcollecties aankunnen.
+- Geavanceerde functies verkennen zoals fuzzy search, highlighting en distributed search networks.
+- Ontwikkeltijd verminderen met duidelijke, voorbeeld‑gedreven instructies voor zowel .NET- als Java‑omgevingen.
+
+{{% alert color="primary" %}}
+Ontdek krachtige documentzoekmogelijkheden in .NET met GroupDocs.Search‑tutorials. Van basisindexering tot geavanceerde zoektechnieken, bieden onze tutorials uitgebreide begeleiding voor ontwikkelaars van elk vaardigheidsniveau. Duik in diverse onderwerpen zoals boolean search, fuzzy search, highlighting, dictionary management en distributed search solutions, en ontgrendel het volledige potentieel van GroupDocs.Search voor .NET. Verhoog de zoekfunctionaliteit van uw applicatie en stroomlijn documentontdekking met onze gemakkelijk‑volgbare tutorials.
+{{% /alert %}}
+
+## GroupDocs.Search voor .NET Tutorials
+
+### Essentiële .NET Search Tutorials
+
+- [Indexering](./net/indexing/)
+- [Zoeken](./net/searching/)
+- [Markering](./net/highlighting/)
+- [Woordenboeken & Taalverwerking](./net/dictionaries-language-processing/)
+- [Documentbeheer](./net/document-management/)
+- [OCR & Afbeeldingszoekopdrachten](./net/ocr-image-search/)
+- [Geavanceerde functies](./net/advanced-features/)
+- [Zoeknetwerk](./net/search-network/)
+- [Prestatieoptimalisatie](./net/performance-optimization/)
+- [Foutafhandeling & Logging](./net/exception-handling-logging/)
+- [Integratie & Interoperabiliteit](./net/integration-interoperability/)
+- [Licenties & Configuratie](./net/licensing-configuration/)
+- [Tekstextractie & Verwerking](./net/text-extraction-processing/)
+- [Queries & Query‑opbouw](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Ontdek uitgebreide tutorials voor GroupDocs.Search in Java. Van basisindexeringstechnieken tot geavanceerde zoekfunctionaliteit, bieden onze stap‑voor‑stap‑gidsen Java‑ontwikkelaars de kennis om krachtige documentzoekoplossingen te implementeren. Leer werken met verschillende documentformaten, waaronder PDF, Word, Excel, presentaties en meer. Beheers technieken voor het maken van indexen, het uitvoeren van verschillende zoektypen, het markeren van resultaten en het optimaliseren van prestaties om uw Java‑applicaties te verbeteren met robuuste zoekmogelijkheden.
+{{% /alert %}}
+
+## GroupDocs.Search voor Java Tutorials
+
+### Essentiële Java Search Tutorials
+
+- [Aan de slag](./java/getting-started/)
+- [Indexering](./java/indexing/)
+- [Zoeken](./java/searching/)
+- [Markering](./java/highlighting/)
+- [Woordenboeken & Taalverwerking](./java/dictionaries-language-processing/)
+- [Documentbeheer](./java/document-management/)
+- [OCR & Afbeeldingszoekopdrachten](./java/ocr-image-search/)
+- [Geavanceerde functies](./java/advanced-features/)
+- [Zoeknetwerk](./java/search-network/)
+- [Prestatieoptimalisatie](./java/performance-optimization/)
+- [Foutafhandeling & Logging](./java/exception-handling-logging/)
+- [Licenties & Configuratie](./java/licensing-configuration/)
+- [Tekstextractie & Verwerking](./java/text-extraction-processing/)
+
+---
+
+**Laatst bijgewerkt:** 2025-12-16
+**Auteur:** GroupDocs
\ No newline at end of file
diff --git a/content/dutch/java/advanced-features/_index.md b/content/dutch/java/advanced-features/_index.md
new file mode 100644
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+---
+date: 2025-12-16
+description: Leer hoe u een zoekindex maakt en een datumbereik, gefacetteerd zoeken
+ en documentfiltering implementeert met GroupDocs.Search Java‑tutorials.
+title: 'Zoekindex maken - GroupDocs.Search Java‑tutorials'
+type: docs
+url: /nl/java/advanced-features/
+weight: 8
+---
+
+# Create Search Index: GroupDocs.Search Java Tutorials
+
+Welkom bij het centrum voor **creating a search index** en het ontgrendelen van geavanceerde zoekfunctionaliteiten met GroupDocs.Search voor Java. Of je nu **implement date range** queries wilt uitvoeren, **file extension filtering Java** wilt toepassen, of **complex search Java** oplossingen wilt bouwen, deze tutorials bieden je stap‑voor‑stap begeleiding, praktijkvoorbeelden en kant‑klaar code. Aan het einde van deze gids begrijp je hoe je krachtige zoekervaringen kunt ontwerpen die schalen met grote documentcollecties.
+
+## Hoe maak je een zoekindex met GroupDocs.Search Java?
+
+Het bouwen van een robuuste zoekindex is de basis voor elke geavanceerde zoekfunctie. In de onderstaande tutorials zie je hoe je:
+
+* Stel een index in en voeg documenten efficiënt toe.
+* Gebruik metadata en attributen om zoekresultaten te verrijken.
+* Pas filters toe zoals **document filtering java** en **file extension filtering java** om de resultaten te verfijnen.
+* Voer **complex search java** queries uit die meerdere criteria combineren, inclusief **implement date range** beperkingen.
+
+## Beschikbare tutorials
+
+### [Chunk-Based Document Search in Java: Een uitgebreide gids met GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Leer hoe je efficiënte chunk‑gebaseerde documentsearches implementeert met GroupDocs.Search voor Java. Verhoog de productiviteit en beheer grote datasets moeiteloos.
+
+### [Faceted and Complex Searches in Java: Beheers GroupDocs.Search voor geavanceerde functies](./faceted-complex-search-groupdocs-java/)
+Leer hoe je gefacetteerde en complexe zoekopdrachten implementeert in Java‑applicaties met GroupDocs.Search, waardoor de zoekfunctionaliteit en gebruikerservaring worden verbeterd.
+
+### [Implement GroupDocs.Search Java: Uitgebreide gids voor indexering en rapportage](./groupdocs-search-java-index-report-guide/)
+Beheers GroupDocs.Search in Java voor efficiënte documentindexering en rapportage. Leer hoe je indexen maakt, documenten toevoegt en rapporten genereert met deze gedetailleerde gids.
+
+### [Beheers datumreekszoekopdrachten in Java met GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Een code‑tutorial voor GroupDocs.Search Java
+
+### [Master GroupDocs.Search Java: Advanced Search Features for Efficient Data Retrieval](./groupdocs-search-java-advanced-search-features/)
+Leer geavanceerde zoekfuncties in GroupDocs.Search voor Java te beheersen, inclusief foutafhandeling, verschillende query‑typen en prestatie‑optimalisatie.
+
+### [Master Java File Filtering Using GroupDocs.Search: A Step‑By‑Step Guide](./master-java-file-filtering-groupdocs-search/)
+Leer hoe je bestanden efficiënt beheert en filtert in Java met GroupDocs.Search, inclusief bestandsextensies, logische operatoren en meer.
+
+### [Mastering GroupDocs.Search for Java: Your Complete Guide to Document Indexing and Search](./groupdocs-search-java-implementation-guide/)
+Leer hoe je GroupDocs.Search implementeert in Java met deze uitgebreide gids. Ontdek robuuste tekstextractie, serialisatie, indexering en zoekfuncties.
+
+## Aanvullende bronnen
+
+- [GroupDocs.Search voor Java Documentatie](https://docs.groupdocs.com/search/java/)
+- [GroupDocs.Search voor Java API‑referentie](https://reference.groupdocs.com/search/java/)
+- [Download GroupDocs.Search voor Java](https://releases.groupdocs.com/search/java/)
+- [GroupDocs.Search Forum](https://forum.groupdocs.com/c/search)
+- [Gratis ondersteuning](https://forum.groupdocs.com/)
+- [Tijdelijke licentie](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Last Updated:** 2025-12-16
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/dutch/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/dutch/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
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--- /dev/null
+++ b/content/dutch/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -0,0 +1,256 @@
+---
+date: '2025-12-16'
+description: Leer hoe je een zoekindex in Java maakt en gefacetteerde en complexe
+ zoekopdrachten implementeert met GroupDocs.Search, waardoor de zoekprestaties en
+ gebruikerservaring worden verbeterd.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Zoekindex maken Java – Gefacetteerde en complexe zoekopdrachten
+type: docs
+url: /nl/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Maak zoekindex Java – Faceted & Complex Searches
+
+Het implementeren van een krachtige **search experience** in Java kan overweldigend aanvoelen, vooral wanneer je **create search index Java** projecten moet maken die grote documentcollecties verwerken. Gelukkig biedt **GroupDocs.Search for Java** een rijke API waarmee je faceted en complex queries kunt bouwen met slechts een paar regels code. In deze tutorial ontdek je hoe je de bibliotheek instelt, **create a search index Java**, documenten toevoegt, en zowel eenvoudige faceted zoekopdrachten als geavanceerde multi‑criteria queries uitvoert.
+
+## Snelle antwoorden
+- **Wat is een faceted search?** Een manier om resultaten te filteren op vooraf gedefinieerde categorieën (bijv. bestandstype, datum).
+- **Hoe maak ik een search index Java?** Initialiseer een `Index` object dat naar een map wijst en voeg documenten toe.
+- **Kan ik meerdere criteria combineren?** Ja—gebruik object‑based queries of Boolean operators in een tekstquery.
+- **Heb ik een licentie nodig?** Een gratis proefversie werkt voor ontwikkeling; een commerciële licentie verwijdert de limieten.
+- **Welke IDE werkt het beste?** Elke Java IDE (IntelliJ IDEA, Eclipse, NetBeans) werkt prima.
+
+## Wat is “create search index java”?
+Een search index maken in Java betekent het bouwen van een doorzoekbare datastructuur die documentmetadata en -inhoud opslaat, waardoor snelle opvraging op basis van gebruikersqueries mogelijk is. Met GroupDocs.Search bevindt de index zich op schijf, kan incrementeel worden bijgewerkt, en ondersteunt geavanceerde functies zoals faceting en complexe Boolean‑logica.
+
+## Waarom GroupDocs.Search gebruiken voor faceted en complex queries?
+- **Out‑of‑the‑box faceting** – filter op velden zoals bestandsnaam, grootte, of aangepaste metadata.
+- **Rich query language** – combineer tekst-, frase- en veldqueries met AND/OR/NOT‑operatoren.
+- **Scalable performance** – indexeert miljoenen documenten terwijl de zoeklatentie laag blijft.
+- **Pure Java** – geen native afhankelijkheden, werkt op elk platform dat JDK 8+ draait.
+
+## Vereisten
+
+Voordat we beginnen, zorg ervoor dat je het volgende hebt:
+
+- **JDK 8 of nieuwer** geïnstalleerd en geconfigureerd in je IDE.
+- **Maven** (of Gradle) voor afhankelijkheidsbeheer.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Basiskennis van Java OOP-concepten en Maven‑projectstructuur.
+
+## GroupDocs.Search voor Java instellen
+
+### Maven‑configuratie
+Add the repository and dependency to your `pom.xml` file:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Directe download
+Alternatively, download the latest JAR from the official release page:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Licentie‑acquisitie
+To unlock full functionality:
+
+1. **Free trial** – perfect voor ontwikkeling en testen.
+2. **Temporary evaluation license** – verlengt de proeflimieten.
+3. **Commercial license** – verwijdert alle beperkingen voor productiegebruik.
+
+### Basisinitialisatie en -configuratie
+The following snippet shows how to **create a search index Java** by instantiating the `Index` class:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Met de index klaar, kunnen we doorgaan naar faceted en complex queries uit de praktijk.
+
+## Hoe create search index java – Eenvoudige faceted zoekopdracht
+
+Faceted search stelt eindgebruikers in staat resultaten te verfijnen door waarden uit vooraf gedefinieerde categorieën (facetten) te selecteren. Hieronder vind je een stap‑voor‑stap walkthrough.
+
+### Stap 1: Maak een index
+First, point the `Index` to a folder where the index files will be stored.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Stap 2: Voeg documenten toe aan de index
+Tell GroupDocs.Search where your source documents live. All supported file types (PDF, DOCX, TXT, etc.) will be indexed automatically.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Stap 3: Voer een zoekopdracht uit in het content‑veld met een tekstquery
+A quick text query filters by the `content` field. The syntax `content: Pellentesque` limits results to documents containing the word *Pellentesque* in their body text.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Stap 4: Voer een zoekopdracht uit met een object‑query
+Object‑based queries give you fine‑grained control. Here we build a word query, wrap it in a field query, and execute it.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Hoe create search index java – Complexe query‑zoekopdracht
+
+Complexe queries combineren meerdere velden, Boolean‑operatoren en frase‑zoekopdrachten. Dit is ideaal voor scenario's zoals e‑commerce filters of juridisch documentonderzoek.
+
+### Stap 1: Maak een index voor complexe queries
+Reuse the same folder structure; you can share the index across both simple and complex scenarios.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Stap 2: Voer een zoekopdracht uit met een tekstquery
+The following query looks for files named *lorem* **and** *ipsum* **or** content containing either of two exact phrases.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Stap 3: Voer een zoekopdracht uit met een object‑query
+Object‑based construction mirrors the textual query but offers type safety and IDE assistance.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Praktische toepassingen van faceted & complex searches
+
+| Scenario | Hoe faceting helpt | Voorbeeldquery |
+|----------|-------------------|---------------|
+| **E‑commerce catalog** | Filter op categorie, prijs, merk | `category: Electronics AND price:[100 TO 500]` |
+| **Legal document repository** | Beperk op zaaknummer, jurisdictie | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Research archives** | Combineer auteur, publicatiejaar, trefwoorden | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Enterprise intranet** | Zoek op bestandstype en afdeling | `filetype: pdf AND department: HR` |
+
+## Veelvoorkomende valkuilen & probleemoplossing
+
+- **Empty results** – Controleer of de documenten succesvol zijn toegevoegd (`index.getDocumentCount()` kan helpen).
+- **Stale index** – Na het toevoegen of verwijderen van bestanden, roep `index.update()` aan om de index gesynchroniseerd te houden.
+- **Incorrect field names** – Gebruik `CommonFieldNames` constanten (`Content`, `FileName`, etc.) om typefouten te vermijden.
+- **Performance bottlenecks** – Overweeg voor enorme collecties `index.setCacheSize()` in te schakelen of een dedicated SSD voor de indexmap te gebruiken.
+
+## Veelgestelde vragen
+
+**Q: Kan ik GroupDocs.Search gebruiken met Spring Boot?**
+A: Absoluut. Voeg gewoon de Maven‑dependency toe, configureer de index als een Spring‑bean, en injecteer deze waar nodig.
+
+**Q: Ondersteunt de bibliotheek aangepaste metadata‑velden?**
+A: Ja – je kunt tijdens het indexeren gebruikers‑gedefinieerde velden toevoegen en vervolgens facetten op deze velden.
+
+**Q: Hoe groot kan de index worden?**
+A: De index is schijf‑gebaseerd en kan miljoenen documenten aan; zorg gewoon voor voldoende opslag en houd de cache‑instellingen in de gaten.
+
+**Q: Is er een manier om resultaten te rangschikken op relevantie?**
+A: GroupDocs.Search kent automatisch scores toe aan overeenkomsten; je kunt de score ophalen via `SearchResult.getDocument(i).getScore()`.
+
+**Q: Wat gebeurt er als ik versleutelde PDF’s indexeer?**
+A: Geef het wachtwoord op bij het toevoegen van het document: `index.add(filePath, password)`.
+
+## Conclusie
+
+Tegenwoordig zou je je comfortabel moeten voelen met **creating a search index Java** met GroupDocs.Search, documenten toevoegen, en zowel eenvoudige faceted queries als geavanceerde Boolean‑zoekopdrachten opstellen. Deze mogelijkheden stellen je in staat snelle, nauwkeurige en gebruiksvriendelijke zoekervaringen te leveren over een breed scala aan toepassingen — van e‑commerce platforms tot enterprise‑kennisbanken.
+
+Klaar voor de volgende stap? Ontdek de geavanceerde functies van **GroupDocs.Search** zoals **highlighting**, **suggestions**, en **real‑time indexing** om de zoekkracht van je applicatie verder te vergroten.
+
+---
+
+**Laatst bijgewerkt:** 2025-12-16
+**Getest met:** GroupDocs.Search 25.4 for Java
+**Auteur:** GroupDocs
\ No newline at end of file
diff --git a/content/dutch/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/dutch/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
new file mode 100644
index 00000000..ccfc1710
--- /dev/null
+++ b/content/dutch/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
@@ -0,0 +1,248 @@
+---
+date: '2025-12-16'
+description: Leer hoe je een datumreeks‑zoekopdracht en andere geavanceerde zoekfuncties
+ zoals faceted search in Java kunt uitvoeren met GroupDocs.Search voor Java, inclusief
+ foutafhandeling en prestatieoptimalisatie.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Zoeken op datumbereik & Geavanceerde functies'
+type: docs
+url: /nl/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Mastering GroupDocs.Search Java: Date Range Search & Advanced Features
+
+In today's data‑driven applications, **date range search** is a core capability that lets you filter documents by time periods, dramatically improving relevance and speed. Whether you’re building a compliance portal, an e‑commerce catalog, or a content‑management system, mastering date range search alongside other powerful query types will make your solution both flexible and robust. This guide walks you through error handling, a full suite of query types, and performance tips, all with real Java code you can copy‑paste.
+
+## Quick Answers
+- **What is date range search?** Filtering documents that contain dates within a specified start‑to‑end interval.
+- **Which library provides it?** GroupDocs.Search for Java.
+- **Do I need a license?** A free trial works for development; a production license is required for commercial use.
+- **Can I combine it with other queries?** Yes—mix date ranges with boolean, faceted, or regex queries.
+- **Is it fast for large datasets?** When indexed correctly, searches run in sub‑second time even on millions of records.
+
+## What is date range search?
+Date range search lets you locate documents that include dates falling between two boundaries, such as “2023‑01‑01 ~~ 2023‑12‑31”. It’s essential for reports, audit logs, and any scenario where time‑based filtering matters.
+
+## Why use GroupDocs.Search for Java?
+GroupDocs.Search offers a unified API for many query types—simple, wildcard, faceted, numeric, date range, regex, boolean, and phrase—so you can build sophisticated search experiences without juggling multiple libraries. Its event‑driven error handling also keeps your indexing pipeline resilient.
+
+## Prerequisites
+- **GroupDocs.Search Java library** (v25.4 or newer).
+- **Java Development Kit (JDK)** compatible with your project.
+- Maven for dependency management (or manual download).
+
+### Required Libraries and Environment Setup
+Add the GroupDocs repository and dependency to your `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Alternative Setup
+For direct downloads, visit [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Licensing and Initial Setup
+Start with a free trial or a temporary license:
+
+- Visit [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) for details.
+
+Now let’s create the index folder that will hold your searchable data.
+
+## Setting Up GroupDocs.Search for Java
+
+### Basic Initialization
+First, instantiate an `Index` object that points to a folder on disk:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+You now have a gateway to all search operations.
+
+## Implementation Guide
+
+### Feature 1: Error Handling in Indexing
+#### How to capture indexing errors (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Why it matters*: By listening to `ErrorOccurred`, you can log problems, retry failed files, or alert users without crashing the whole process.
+
+### Feature 2: Simple Search Query
+#### What is a simple search?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Result*: Returns every document containing the term **volutpat**.
+
+### Feature 3: Wildcard Search Query
+#### How does wildcard search work?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Result*: Matches both **affect** and **effect**, showing the power of the `?` placeholder.
+
+### Feature 4: Faceted Search Query
+#### How to perform faceted search Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Result*: Limits the search to the **Content** field, ideal for filtering by metadata such as category or author.
+
+### Feature 5: Numeric Range Search Query
+#### How to search numeric ranges
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Result*: Retrieves documents where numeric values fall between 2000 and 3000.
+
+### Feature 6: Date Range Search Query
+#### How to execute date range search
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Explanation*: By customizing `SearchOptions`, you tell the engine to recognize dates in **MM/DD/YYYY** format, then retrieve all records between January 1 2000 and June 15 2001.
+
+### Feature 7: Regular Expression Search Query
+#### How to run regex search Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Result*: Finds sequences of three or more identical characters (e.g., “aaa”, “111”).
+
+### Feature 8: Boolean Search Query
+#### How to combine conditions with boolean search Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Result*: Returns documents containing **justo** but excludes any that also contain **3456**.
+
+### Feature 9: Complex Boolean Search Query
+#### How to craft advanced boolean queries
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Result*: Looks for file names similar to “English” (allowing 1‑3 character variations) **or** content that contains both **3456** and **consequat**.
+
+### Feature 10: Phrase Search Query
+#### How to search exact phrases
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Result*: Retrieves only documents that contain the exact phrase **ipsum dolor sit amet**.
+
+## Practical Applications
+1. **E‑commerce Platforms** – Use faceted search Java to filter products by size, color, and brand.
+2. **Content Management Systems** – Combine boolean search Java with phrase search to power sophisticated editorial tools.
+3. **Data Analysis Tools** – Leverage date range search to generate time‑based reports and dashboards.
+
+## Common Issues & Solutions
+- **No results for date range search** – Verify that the date format in your documents matches the custom `DateFormat` you added.
+- **Regex queries return too many hits** – Refine the pattern or limit the search scope with additional field qualifiers.
+- **Indexing errors not captured** – Ensure the event handler is attached **before** calling `index.add(...)`.
+
+## Frequently Asked Questions
+
+**Q: Can I mix date range search with other query types?**
+A: Absolutely. You can combine a date range clause with boolean operators, faceted filters, or regex patterns in a single query string.
+
+**Q: Do I need to rebuild the index after changing date formats?**
+A: Yes. The index stores tokenized terms; updating `SearchOptions` alone won’t re‑tokenize existing data. Re‑index the documents after changing formats.
+
+**Q: How does GroupDocs.Search handle large indexes?**
+A: It uses incremental indexing and on‑disk storage, allowing you to scale to millions of documents while keeping memory usage low.
+
+**Q: Is there a limit to the number of wildcard characters?**
+A: Wildcards are processed efficiently, but using many leading wildcards (e.g., `*term`) can degrade performance. Prefer prefix or suffix wildcards.
+
+**Q: What licensing model is recommended for production?**
+A: A perpetual or subscription license from GroupDocs ensures you receive updates, support, and the ability to deploy without trial limitations.
+
+## Conclusion
+By mastering **date range search** and the full suite of advanced query types offered by GroupDocs.Search for Java, you can build highly responsive, feature‑rich search experiences. Implement robust error handling, fine‑tune your index, and combine queries to meet virtually any retrieval scenario. Start experimenting today and elevate your application's data‑access capabilities.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 (Java)
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/english/_index.md b/content/english/_index.md
index 7b7e8e09..6ab28ff1 100644
--- a/content/english/_index.md
+++ b/content/english/_index.md
@@ -1,21 +1,34 @@
---
-title: Unlocking Document Search Power with GroupDocs.Search
+title: "GroupDocs.Search Tutorial – Unlock Document Search Power"
linktitle: GroupDocs.Search Tutorials
additionalTitle: GroupDocs API References
-description: Discover comprehensive tutorials for GroupDocs.Search across platforms. Master document indexing and search capabilities in .NET and Java effortlessly.
+description: "Explore the GroupDocs.Search tutorial collection for .NET and Java developers. Master document indexing, search capabilities, and advanced features effortlessly."
weight: 11
url: /
is_root: true
type: docs
+date: 2025-12-16
---
-# Unlocking Document Search Power with GroupDocs.Search
-Explore a comprehensive collection of GroupDocs.Search tutorials tailored for both .NET and Java developers. Dive into the world of document search and indexing with step-by-step guides, covering a wide range of topics from basic indexing to advanced search techniques. Elevate your skills in document search implementation regardless of your preferred programming language.
-## GroupDocs.Search for .NET Tutorials
+# GroupDocs.Search Tutorial – Unlock Document Search Power
+
+Welcome to the **GroupDocs.Search tutorial** hub, your one‑stop destination for mastering document search and indexing across .NET and Java platforms. Whether you’re building a small internal tool or a large‑scale enterprise solution, these step‑by‑step guides will help you implement fast, accurate, and scalable search functionality. You’ll learn everything from basic indexing to sophisticated query building, all while leveraging the full power of GroupDocs.Search.
+
+## Why Use the GroupDocs.Search Tutorial?
+
+The tutorial series is designed with real‑world scenarios in mind, so you can quickly apply what you learn to your projects. By following these guides you will:
+
+- Gain a solid understanding of **document indexing** techniques.
+- Learn how to craft efficient **search capabilities** that handle large document collections.
+- Explore advanced features such as fuzzy search, highlighting, and distributed search networks.
+- Reduce development time with clear, example‑driven instructions for both .NET and Java environments.
+
{{% alert color="primary" %}}
-Explore powerful document search capabilities in .NET with GroupDocs.Search tutorials. From basic indexing to advanced search techniques, our tutorials offer comprehensive guidance for developers at all skill levels. Dive into various topics such as boolean search, fuzzy search, highlighting, dictionary management, and distributed search solutions, unlocking the full potential of GroupDocs.Search for .NET. Elevate your application's search functionality and streamline document discovery with our easy-to-follow tutorials.
+Explore powerful document search capabilities in .NET with GroupDocs.Search tutorials. From basic indexing to advanced search techniques, our tutorials offer comprehensive guidance for developers at all skill levels. Dive into various topics such as boolean search, fuzzy search, highlighting, dictionary management, and distributed search solutions, unlocking the full potential of GroupDocs.Search for .NET. Elevate your application's search functionality and streamline document discovery with our easy‑to‑follow tutorials.
{{% /alert %}}
+## GroupDocs.Search for .NET Tutorials
+
### Essential .NET Search Tutorials
- [Indexing](./net/indexing/)
@@ -33,11 +46,12 @@ Explore powerful document search capabilities in .NET with GroupDocs.Search tuto
- [Text Extraction & Processing](./net/text-extraction-processing/)
- [Queries & Query Building](./net/queries-query-building/)
-## GroupDocs.Search for Java Tutorials
{{% alert color="primary" %}}
-Discover comprehensive tutorials for GroupDocs.Search in Java. From basic indexing techniques to advanced search functionality, our step-by-step guides provide Java developers with the knowledge to implement powerful document search solutions. Learn to work with various document formats including PDF, Word, Excel, presentations, and more. Master techniques for creating indexes, performing different search types, highlighting results, and optimizing performance to enhance your Java applications with robust search capabilities.
+Discover comprehensive tutorials for GroupDocs.Search in Java. From basic indexing techniques to advanced search functionality, our step‑by‑step guides provide Java developers with the knowledge to implement powerful document search solutions. Learn to work with various document formats including PDF, Word, Excel, presentations, and more. Master techniques for creating indexes, performing different search types, highlighting results, and optimizing performance to enhance your Java applications with robust search capabilities.
{{% /alert %}}
+## GroupDocs.Search for Java Tutorials
+
### Essential Java Search Tutorials
- [Getting Started](./java/getting-started/)
@@ -52,4 +66,9 @@ Discover comprehensive tutorials for GroupDocs.Search in Java. From basic indexi
- [Performance Optimization](./java/performance-optimization/)
- [Exception Handling & Logging](./java/exception-handling-logging/)
- [Licensing & Configuration](./java/licensing-configuration/)
-- [Text Extraction & Processing](./java/text-extraction-processing/)
\ No newline at end of file
+- [Text Extraction & Processing](./java/text-extraction-processing/)
+
+---
+
+**Last Updated:** 2025-12-16
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/english/java/advanced-features/_index.md b/content/english/java/advanced-features/_index.md
index 6d104ccf..30bddcff 100644
--- a/content/english/java/advanced-features/_index.md
+++ b/content/english/java/advanced-features/_index.md
@@ -1,13 +1,22 @@
---
-title: "Advanced Search Features Tutorials for GroupDocs.Search Java"
-description: "Learn to implement faceted search, search reports, document filtering, and other advanced search features with these GroupDocs.Search Java tutorials."
+title: "Create Search Index - GroupDocs.Search Java Tutorials"
+description: "Learn how to create search index and implement date range, faceted search, and document filtering with GroupDocs.Search Java tutorials."
weight: 8
url: "/java/advanced-features/"
type: docs
+date: 2025-12-16
---
-# Advanced Search Features Tutorials for GroupDocs.Search Java
+# Create Search Index: GroupDocs.Search Java Tutorials
-Explore advanced search capabilities with our comprehensive GroupDocs.Search tutorials for Java developers. These detailed guides cover implementing faceted search, generating search reports, applying document filters, working with metadata attributes, and leveraging other specialized search features. Each tutorial provides working Java code examples for sophisticated document search scenarios, helping you build powerful search applications that offer precise control and deep insight into document collections.
+Welcome to the hub for **creating a search index** and unlocking advanced search capabilities with GroupDocs.Search for Java. Whether you’re looking to **implement date range** queries, apply **file extension filtering Java**, or build **complex search Java** solutions, these tutorials give you step‑by‑step guidance, real‑world examples, and ready‑to‑run code. By the end of this guide you’ll understand how to design powerful search experiences that scale with large document collections.
+
+## How to create search index with GroupDocs.Search Java?
+Building a robust search index is the foundation for any sophisticated search feature. In the tutorials below you’ll see how to:
+
+* Set up an index and add documents efficiently.
+* Use metadata and attributes to enrich search results.
+* Apply filters such as **document filtering java** and **file extension filtering java** to narrow down results.
+* Execute **complex search java** queries that combine multiple criteria, including **implement date range** constraints.
## Available Tutorials
@@ -26,7 +35,7 @@ A code tutorial for GroupDocs.Search Java
### [Master GroupDocs.Search Java: Advanced Search Features for Efficient Data Retrieval](./groupdocs-search-java-advanced-search-features/)
Learn to master advanced search features in GroupDocs.Search for Java, including error handling, various query types, and performance optimization.
-### [Master Java File Filtering Using GroupDocs.Search: A Step-by-Step Guide](./master-java-file-filtering-groupdocs-search/)
+### [Master Java File Filtering Using GroupDocs.Search: A Step‑By‑Step Guide](./master-java-file-filtering-groupdocs-search/)
Learn how to efficiently manage and filter files in Java using GroupDocs.Search, including file extension, logical operators, and more.
### [Mastering GroupDocs.Search for Java: Your Complete Guide to Document Indexing and Search](./groupdocs-search-java-implementation-guide/)
@@ -40,3 +49,8 @@ Learn how to implement GroupDocs.Search in Java with this comprehensive guide. D
- [GroupDocs.Search Forum](https://forum.groupdocs.com/c/search)
- [Free Support](https://forum.groupdocs.com/)
- [Temporary License](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Last Updated:** 2025-12-16
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/english/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/english/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
index 436ea326..bcbd746f 100644
--- a/content/english/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
+++ b/content/english/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -1,7 +1,7 @@
---
-title: "Faceted and Complex Searches in Java: Master GroupDocs.Search for Advanced Features"
-description: "Learn how to implement faceted and complex searches in Java applications using GroupDocs.Search, enhancing search functionality and user experience."
-date: "2025-05-20"
+title: "Create Search Index Java – Faceted & Complex Searches"
+description: "Learn how to create search index Java and implement faceted and complex searches using GroupDocs.Search, boosting search performance and user experience."
+date: "2025-12-16"
weight: 1
url: "/java/advanced-features/faceted-complex-search-groupdocs-java/"
keywords:
@@ -10,44 +10,40 @@ keywords:
- GroupDocs.Search for Java
type: docs
---
-# Faceted & Complex Searches in Java with GroupDocs.Search
-## Introduction
+# Create Search Index Java – Faceted & Complex Searches
-Implementing efficient search functionalities within Java applications can be challenging, especially when dealing with large volumes of data. **GroupDocs.Search for Java** offers advanced searching features to help you overcome these challenges by enabling faceted and complex searches.
+Implementing a powerful **search experience** in Java can feel overwhelming, especially when you need to **create search index Java** projects that handle large document collections. Fortunately, **GroupDocs.Search for Java** provides a rich API that lets you build faceted and complex queries with just a few lines of code. In this tutorial you’ll discover how to set up the library, **create a search index Java**, add documents, and run both simple faceted searches and sophisticated multi‑criteria queries.
-This tutorial will guide you through enhancing your application's search capabilities using GroupDocs.Search. By the end, you'll understand how to perform both simple faceted searches and more intricate query operations, significantly improving user experience.
+## Quick Answers
+- **What is a faceted search?** A way to filter results by predefined categories (e.g., file type, date).
+- **How do I create a search index Java?** Initialize an `Index` object pointing to a folder and add documents.
+- **Can I combine multiple criteria?** Yes—use object‑based queries or Boolean operators in a text query.
+- **Do I need a license?** A free trial works for development; a commercial license removes limits.
+- **Which IDE works best?** Any Java IDE (IntelliJ IDEA, Eclipse, NetBeans) works fine.
-**What You'll Learn:**
-- Implementing basic and advanced search queries with GroupDocs.Search for Java.
-- Setting up your environment to use GroupDocs.Search.
-- Optimizing performance for search operations in Java applications.
-- Practical applications of faceted and complex searches.
+## What is “create search index java”?
+Creating a search index in Java means building a searchable data structure that stores document metadata and content, enabling fast retrieval based on user queries. With GroupDocs.Search, the index lives on disk, can be updated incrementally, and supports advanced features like faceting and complex Boolean logic.
-Let's start by discussing the prerequisites needed before implementing these powerful features.
+## Why use GroupDocs.Search for faceted and complex queries?
+- **Out‑of‑the‑box faceting** – filter by fields such as file name, size, or custom metadata.
+- **Rich query language** – mix text, phrase, and field queries using AND/OR/NOT operators.
+- **Scalable performance** – indexes millions of documents while keeping search latency low.
+- **Pure Java** – no native dependencies, works on any platform that runs JDK 8+.
## Prerequisites
-Before diving into **GroupDocs.Search for Java**, ensure your development environment is properly set up. You'll need:
+Before we dive in, make sure you have the following:
-### Required Libraries and Dependencies
-- **GroupDocs.Search for Java**: Version 25.4 or later.
-- **Java Development Kit (JDK)**: Version 8 or above.
-
-### Environment Setup
-- Use a compatible Integrated Development Environment (IDE) like IntelliJ IDEA, Eclipse, or NetBeans.
-- Maven should be installed if you're managing dependencies via it.
-
-### Knowledge Prerequisites
-- Familiarity with Java programming and object-oriented concepts.
-- Basic understanding of search algorithms and data indexing.
+- **JDK 8 or newer** installed and configured in your IDE.
+- **Maven** (or Gradle) for dependency management.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Basic familiarity with Java OOP concepts and Maven project structure.
## Setting Up GroupDocs.Search for Java
-Follow these steps to set up **GroupDocs.Search for Java**:
-
### Maven Setup
-Add the following repository and dependency to your `pom.xml` file:
+Add the repository and dependency to your `pom.xml` file:
```xml
@@ -68,16 +64,18 @@ Add the following repository and dependency to your `pom.xml` file:
```
### Direct Download
-Alternatively, download the latest version directly from [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+Alternatively, download the latest JAR from the official release page:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
### License Acquisition
-To fully utilize GroupDocs.Search without limitations:
-- Obtain a free trial to test features.
-- Request a temporary license for extended evaluation.
-- Purchase a commercial license for full access.
+To unlock full functionality:
+
+1. **Free trial** – perfect for development and testing.
+2. **Temporary evaluation license** – extends trial limits.
+3. **Commercial license** – removes all restrictions for production use.
### Basic Initialization and Setup
-Here's how you can initialize GroupDocs.Search in your Java application:
+The following snippet shows how to **create a search index Java** by instantiating the `Index` class:
```java
import com.groupdocs.search.Index;
@@ -86,7 +84,7 @@ public class SearchSetup {
public static void main(String[] args) {
String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
- // Create an instance of Index
+ // Create an instance of Index – this creates the on‑disk index
Index index = new Index(indexFolder);
System.out.println("GroupDocs.Search initialized successfully!");
@@ -94,18 +92,14 @@ public class SearchSetup {
}
```
-With the setup complete, let's proceed to implementing faceted and complex searches.
-
-## Implementation Guide
+With the index ready, we can move on to real‑world faceted and complex queries.
-This guide will walk you through two primary features: simple faceted search and complex query search using GroupDocs.Search for Java.
+## How to create search index java – Simple Faceted Search
-### Simple Faceted Search
+Faceted search lets end‑users narrow results by selecting values from predefined categories (facets). Below is a step‑by‑step walk‑through.
-Faceted search allows users to filter results based on various attributes or "facets". Let’s implement a basic faceted search feature:
-
-#### Step 1: Create an Index
-First, create an index where your documents will be stored for searching.
+### Step 1: Create an Index
+First, point the `Index` to a folder where the index files will be stored.
```java
import com.groupdocs.search.Index;
@@ -114,8 +108,8 @@ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearc
Index index = new Index(indexFolder);
```
-#### Step 2: Add Documents to the Index
-Add documents from a specific directory that you want to search through.
+### Step 2: Add Documents to the Index
+Tell GroupDocs.Search where your source documents live. All supported file types (PDF, DOCX, TXT, etc.) will be indexed automatically.
```java
import com.groupdocs.search.Index;
@@ -126,8 +120,8 @@ String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
index.add(documentsFolder);
```
-#### Step 3: Perform a Search in Content Field with Text Query
-To perform a basic text query, use:
+### Step 3: Perform a Search in the Content Field with a Text Query
+A quick text query filters by the `content` field. The syntax `content: Pellentesque` limits results to documents containing the word *Pellentesque* in their body text.
```java
import com.groupdocs.search.results.SearchResult;
@@ -139,8 +133,8 @@ SearchResult result1 = index.search(query1);
System.out.println("Documents found (query 1): " + result1.getDocumentCount());
```
-#### Step 4: Perform a Search Using an Object Query
-For more control, construct queries using objects:
+### Step 4: Perform a Search Using an Object Query
+Object‑based queries give you fine‑grained control. Here we build a word query, wrap it in a field query, and execute it.
```java
import com.groupdocs.search.SearchQuery;
@@ -154,11 +148,12 @@ SearchResult result2 = index.search(fieldQuery);
System.out.println("Documents found (query 2): " + result2.getDocumentCount());
```
-### Complex Query Search
-Complex queries allow combining multiple search criteria. Let's implement a more advanced query:
+## How to create search index java – Complex Query Search
+
+Complex queries combine multiple fields, Boolean operators, and phrase searches. This is ideal for scenarios like e‑commerce filters or legal document research.
-#### Step 1: Create an Index for Complex Queries
-Set up the index similar to the simple faceted search.
+### Step 1: Create an Index for Complex Queries
+Reuse the same folder structure; you can share the index across both simple and complex scenarios.
```java
String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
@@ -166,8 +161,8 @@ Index index = new Index(indexFolder);
index.add(documentsFolder);
```
-#### Step 2: Perform a Search with Text Query
-Construct and execute a complex text query:
+### Step 2: Perform a Search with a Text Query
+The following query looks for files named *lorem* **and** *ipsum* **or** content containing either of two exact phrases.
```java
import com.groupdocs.search.results.SearchResult;
@@ -185,8 +180,8 @@ class SearchResult {
System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
```
-#### Step 3: Perform a Search with Object Query
-Here's how to build and execute an object-based complex query:
+### Step 3: Perform a Search with an Object Query
+Object‑based construction mirrors the textual query but offers type safety and IDE assistance.
```java
import com.groupdocs.search.SearchQuery;
@@ -213,14 +208,49 @@ SearchResult result2 = index.search(rootQuery);
System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
```
-## Practical Applications
+## Practical Applications of Faceted & Complex Searches
+
+| Scenario | How Faceting Helps | Example Query |
+|----------|-------------------|---------------|
+| **E‑commerce catalog** | Filter by category, price, brand | `category: Electronics AND price:[100 TO 500]` |
+| **Legal document repository** | Narrow by case number, jurisdiction | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Research archives** | Combine author, publication year, keywords | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Enterprise intranet** | Search by file type and department | `filetype: pdf AND department: HR` |
+
+These examples illustrate why mastering **create search index java** techniques is a game‑changer for any data‑intensive application.
+
+## Common Pitfalls & Troubleshooting
-Here are some real-world use cases where faceted and complex searches can be invaluable:
-1. **E-commerce Platforms**: Enhance product discovery by allowing users to filter products based on categories, price ranges, or attributes like color and size.
-2. **Document Management Systems**: Implement advanced search capabilities for finding specific documents quickly based on content, metadata, or file names.
-3. **Content Management Systems (CMS)**: Improve article retrieval through keyword combinations and content-specific searches.
-4. **Research Databases**: Allow researchers to perform detailed queries combining multiple criteria such as publication date, author, or keywords.
+- **Empty results** – Verify that the documents were successfully added (`index.getDocumentCount()` can help).
+- **Stale index** – After adding or removing files, call `index.update()` to keep the index in sync.
+- **Incorrect field names** – Use `CommonFieldNames` constants (`Content`, `FileName`, etc.) to avoid typos.
+- **Performance bottlenecks** – For huge collections, consider enabling `index.setCacheSize()` or using a dedicated SSD for the index folder.
+
+## Frequently Asked Questions
+
+**Q: Can I use GroupDocs.Search with Spring Boot?**
+A: Absolutely. Just add the Maven dependency, configure the index as a Spring bean, and inject it where needed.
+
+**Q: Does the library support custom metadata fields?**
+A: Yes – you can add user‑defined fields during indexing and then facet on them.
+
+**Q: How large can the index grow?**
+A: The index is disk‑based and can handle millions of documents; just ensure sufficient storage and monitor cache settings.
+
+**Q: Is there a way to rank results by relevance?**
+A: GroupDocs.Search automatically scores matches; you can retrieve the score via `SearchResult.getDocument(i).getScore()`.
+
+**Q: What happens if I index encrypted PDFs?**
+A: Provide the password when adding the document: `index.add(filePath, password)`.
## Conclusion
-Implementing faceted and complex searches in Java with GroupDocs.Search can significantly enhance your application's search functionality. By following this guide, you've learned how to set up GroupDocs.Search, create indexes, add documents, and perform both simple and advanced queries. Apply these techniques in real-world scenarios to improve user experience and data retrieval efficiency.
+By now you should feel comfortable **creating a search index Java** with GroupDocs.Search, adding documents, and crafting both simple faceted queries and sophisticated Boolean searches. These capabilities empower you to deliver fast, accurate, and user‑friendly search experiences across a wide range of applications—from e‑commerce platforms to enterprise knowledge bases.
+
+Ready for the next step? Explore **GroupDocs.Search’s** advanced features such as **highlighting**, **suggestions**, and **real‑time indexing** to further boost your application’s search power.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 for Java
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/english/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/english/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
index 6bff88b0..cd6a5393 100644
--- a/content/english/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
+++ b/content/english/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
@@ -1,7 +1,7 @@
---
-title: "Master GroupDocs.Search Java: Advanced Search Features for Efficient Data Retrieval"
-description: "Learn to master advanced search features in GroupDocs.Search for Java, including error handling, various query types, and performance optimization."
-date: "2025-05-20"
+title: "GroupDocs.Search Java - Date Range Search & Advanced Features"
+description: "Learn how to perform date range search and other advanced search features like faceted search Java using GroupDocs.Search for Java, including error handling and performance optimization."
+date: "2025-12-16"
weight: 1
url: "/java/advanced-features/groupdocs-search-java-advanced-search-features/"
keywords:
@@ -10,29 +10,31 @@ keywords:
- Java indexing errors
type: docs
---
-# Mastering GroupDocs.Search Java: Comprehensive Guide to Advanced Search Features
-## Introduction
+# Mastering GroupDocs.Search Java: Date Range Search & Advanced Features
-In today's digital world, efficiently managing and retrieving information from vast datasets is crucial. Whether you're building a search engine or optimizing data retrieval processes, handling indexing errors and utilizing advanced search queries can significantly enhance your application's performance. This guide dives into the powerful capabilities of GroupDocs.Search for Java—a robust library designed to simplify complex search operations.
+In today's data‑driven applications, **date range search** is a core capability that lets you filter documents by time periods, dramatically improving relevance and speed. Whether you’re building a compliance portal, an e‑commerce catalog, or a content‑management system, mastering date range search alongside other powerful query types will make your solution both flexible and robust. This guide walks you through error handling, a full suite of query types, and performance tips, all with real Java code you can copy‑paste.
-### What You'll Learn
-- Implementing error handling during indexing.
-- Executing various types of search queries: simple, wildcard, faceted, numeric range, date range, regex, boolean, and phrase searches.
-- Integrating advanced search features into your application.
-- Optimizing performance for large-scale data processing.
+## Quick Answers
+- **What is date range search?** Filtering documents that contain dates within a specified start‑to‑end interval.
+- **Which library provides it?** GroupDocs.Search for Java.
+- **Do I need a license?** A free trial works for development; a production license is required for commercial use.
+- **Can I combine it with other queries?** Yes—mix date ranges with boolean, faceted, or regex queries.
+- **Is it fast for large datasets?** When indexed correctly, searches run in sub‑second time even on millions of records.
-Ready to harness the full potential of GroupDocs.Search in Java? Let's get started with the prerequisites!
+## What is date range search?
+Date range search lets you locate documents that include dates falling between two boundaries, such as “2023‑01‑01 ~~ 2023‑12‑31”. It’s essential for reports, audit logs, and any scenario where time‑based filtering matters.
+
+## Why use GroupDocs.Search for Java?
+GroupDocs.Search offers a unified API for many query types—simple, wildcard, faceted, numeric, date range, regex, boolean, and phrase—so you can build sophisticated search experiences without juggling multiple libraries. Its event‑driven error handling also keeps your indexing pipeline resilient.
## Prerequisites
+- **GroupDocs.Search Java library** (v25.4 or newer).
+- **Java Development Kit (JDK)** compatible with your project.
+- Maven for dependency management (or manual download).
### Required Libraries and Environment Setup
-To follow this tutorial effectively, you'll need:
-- **GroupDocs.Search Library**: Ensure you have version 25.4 or later.
-- **Java Development Kit (JDK)**: A compatible JDK version is required for running Java applications.
-
-### Maven Dependency Configuration
-For those using Maven, include the following in your `pom.xml`:
+Add the GroupDocs repository and dependency to your `pom.xml`:
```xml
@@ -56,15 +58,16 @@ For those using Maven, include the following in your `pom.xml`:
For direct downloads, visit [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
### Licensing and Initial Setup
-You can start with a free trial or obtain a temporary license to explore all features:
-- Visit [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) for more information.
+Start with a free trial or a temporary license:
+
+- Visit [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) for details.
-Initialize your project by setting up the index directory, as shown in the code snippets below.
+Now let’s create the index folder that will hold your searchable data.
## Setting Up GroupDocs.Search for Java
### Basic Initialization
-To begin using GroupDocs.Search, you must first create an `Index` object. This acts as a gateway to all search functionalities:
+First, instantiate an `Index` object that points to a folder on disk:
```java
import com.groupdocs.search.*;
@@ -74,16 +77,12 @@ String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQu
Index index = new Index(indexFolder);
```
+You now have a gateway to all search operations.
+
## Implementation Guide
### Feature 1: Error Handling in Indexing
-
-#### Overview
-Handling errors during indexing is crucial for maintaining application stability. GroupDocs.Search allows you to capture and process these errors using event handlers.
-
-#### Implementation Steps
-
-##### Adding Event Handlers
+#### How to capture indexing errors (Java)
```java
import com.groupdocs.search.events.*;
@@ -99,14 +98,10 @@ index.getEvents().ErrorOccurred.add(new EventHandler() {
index.add("YOUR_DOCUMENT_DIRECTORY");
```
-*Explanation*: The `ErrorOccurred` event captures any issues during indexing. By handling it, you can log or react to errors dynamically.
+*Why it matters*: By listening to `ErrorOccurred`, you can log problems, retry failed files, or alert users without crashing the whole process.
### Feature 2: Simple Search Query
-
-#### Overview
-Performing a simple search is straightforward with GroupDocs.Search. This feature allows users to find documents containing specific terms.
-
-##### Basic Search Implementation
+#### What is a simple search?
```java
import com.groupdocs.search.*;
@@ -115,56 +110,40 @@ String query = "volutpat";
SearchResult result = index.search(query);
```
-*Explanation*: The `search` method returns results matching the term "volutpat". Results are stored in a `SearchResult` object, which you can iterate to display findings.
+*Result*: Returns every document containing the term **volutpat**.
### Feature 3: Wildcard Search Query
-
-#### Overview
-Wildcard searches enable pattern-based searching, making it possible to find variations of a word or phrase.
-
-##### Implementing Wildcard Searches
+#### How does wildcard search work?
```java
String query = "?ffect";
SearchResult result = index.search(query);
```
-*Explanation*: This query matches words like "affect" and "effect", demonstrating the flexibility of wildcard searches.
+*Result*: Matches both **affect** and **effect**, showing the power of the `?` placeholder.
### Feature 4: Faceted Search Query
-
-#### Overview
-Faceted search allows querying specific document fields, providing more precise results.
-
-##### Conducting a Field-Specific Search
+#### How to perform faceted search Java
```java
String query = "Content: magna";
SearchResult result = index.search(query);
```
-*Explanation*: Here, the `Content` field is targeted to find occurrences of "magna", refining search accuracy.
+*Result*: Limits the search to the **Content** field, ideal for filtering by metadata such as category or author.
### Feature 5: Numeric Range Search Query
-
-#### Overview
-Searching within numeric ranges can be crucial for data analysis and filtering.
-
-##### Implementing a Numeric Range Search
+#### How to search numeric ranges
```java
String query = "2000 ~~ 3000";
SearchResult result = index.search(query);
```
-*Explanation*: This search retrieves documents with numbers between 2000 and 3000, showcasing the library's capability to handle complex queries.
+*Result*: Retrieves documents where numeric values fall between 2000 and 3000.
### Feature 6: Date Range Search Query
-
-#### Overview
-Date range searches are essential for filtering content based on temporal criteria.
-
-##### Setting Up a Custom Date Format
+#### How to execute date range search
```java
import com.groupdocs.search.options.*;
@@ -188,69 +167,80 @@ options.getDateFormats().addItem(dateFormat);
SearchResult result = index.search(query, options);
```
-*Explanation*: The `search` method is configured with custom date formats to match documents within the specified range.
+*Explanation*: By customizing `SearchOptions`, you tell the engine to recognize dates in **MM/DD/YYYY** format, then retrieve all records between January 1 2000 and June 15 2001.
### Feature 7: Regular Expression Search Query
-
-#### Overview
-Regular expressions provide powerful pattern matching capabilities for text searches.
-
-##### Executing a Regex Search
+#### How to run regex search Java
```java
String query = "^(.)\\1{2,}";
SearchResult result = index.search(query);
```
-*Explanation*: This regex finds sequences of three or more identical characters, exemplifying the versatility of regex in search operations.
+*Result*: Finds sequences of three or more identical characters (e.g., “aaa”, “111”).
### Feature 8: Boolean Search Query
-
-#### Overview
-Boolean searches enable combining multiple conditions to refine results.
-
-##### Implementing a Simple Boolean Search
+#### How to combine conditions with boolean search Java
```java
String query = "justo AND NOT 3456";
SearchResult result = index.search(query);
```
-*Explanation*: The `AND NOT` operator excludes documents containing "3456" from the search results for "justo".
+*Result*: Returns documents containing **justo** but excludes any that also contain **3456**.
### Feature 9: Complex Boolean Search Query
-
-#### Overview
-Complex boolean queries allow combining multiple logical conditions for advanced filtering.
-
-##### Crafting a Multi-Condition Boolean Search
+#### How to craft advanced boolean queries
```java
String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
SearchResult result = index.search(query);
```
-*Explanation*: This query finds files with names containing variations of "English" or content matching both terms.
+*Result*: Looks for file names similar to “English” (allowing 1‑3 character variations) **or** content that contains both **3456** and **consequat**.
### Feature 10: Phrase Search Query
-
-#### Overview
-Phrase searches enable finding exact text sequences within documents, ensuring precise retrieval.
-
-##### Performing a Phrase Search
+#### How to search exact phrases
```java
String query = "\"ipsum dolor sit amet\"";
SearchResult result = index.search(query);
```
-*Explanation*: The search locates the exact phrase "ipsum dolor sit amet" across indexed documents.
+*Result*: Retrieves only documents that contain the exact phrase **ipsum dolor sit amet**.
## Practical Applications
-1. **E-commerce Platforms**: Enhance product discovery by implementing faceted searches on attributes like size, color, and brand.
-2. **Content Management Systems (CMS)**: Improve content retrieval through boolean and phrase searches for more accurate user queries.
-3. **Data Analysis Tools**: Leverage advanced search features to analyze datasets effectively.
+1. **E‑commerce Platforms** – Use faceted search Java to filter products by size, color, and brand.
+2. **Content Management Systems** – Combine boolean search Java with phrase search to power sophisticated editorial tools.
+3. **Data Analysis Tools** – Leverage date range search to generate time‑based reports and dashboards.
+
+## Common Issues & Solutions
+- **No results for date range search** – Verify that the date format in your documents matches the custom `DateFormat` you added.
+- **Regex queries return too many hits** – Refine the pattern or limit the search scope with additional field qualifiers.
+- **Indexing errors not captured** – Ensure the event handler is attached **before** calling `index.add(...)`.
+
+## Frequently Asked Questions
+
+**Q: Can I mix date range search with other query types?**
+A: Absolutely. You can combine a date range clause with boolean operators, faceted filters, or regex patterns in a single query string.
+
+**Q: Do I need to rebuild the index after changing date formats?**
+A: Yes. The index stores tokenized terms; updating `SearchOptions` alone won’t re‑tokenize existing data. Re‑index the documents after changing formats.
+
+**Q: How does GroupDocs.Search handle large indexes?**
+A: It uses incremental indexing and on‑disk storage, allowing you to scale to millions of documents while keeping memory usage low.
+
+**Q: Is there a limit to the number of wildcard characters?**
+A: Wildcards are processed efficiently, but using many leading wildcards (e.g., `*term`) can degrade performance. Prefer prefix or suffix wildcards.
+
+**Q: What licensing model is recommended for production?**
+A: A perpetual or subscription license from GroupDocs ensures you receive updates, support, and the ability to deploy without trial limitations.
## Conclusion
-By mastering these advanced search features in GroupDocs.Search for Java, you can significantly improve data retrieval processes across various applications. Implementing error handling ensures robustness, while diverse query types offer flexibility and precision. Start integrating these powerful capabilities into your projects today!
+By mastering **date range search** and the full suite of advanced query types offered by GroupDocs.Search for Java, you can build highly responsive, feature‑rich search experiences. Implement robust error handling, fine‑tune your index, and combine queries to meet virtually any retrieval scenario. Start experimenting today and elevate your application's data‑access capabilities.
+
+---
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 (Java)
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/french/_index.md b/content/french/_index.md
new file mode 100644
index 00000000..0c8db885
--- /dev/null
+++ b/content/french/_index.md
@@ -0,0 +1,76 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Explorez la collection de tutoriels GroupDocs.Search pour les développeurs
+ .NET et Java. Maîtrisez l’indexation des documents, les capacités de recherche et
+ les fonctionnalités avancées sans effort.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: Tutoriel GroupDocs.Search – Débloquez la puissance de la recherche de documents
+type: docs
+url: /fr/
+weight: 11
+---
+
+# Tutoriel GroupDocs.Search – Libérez la puissance de la recherche de documents
+
+Bienvenue sur le hub **GroupDocs.Search tutorial**, votre destination unique pour maîtriser la recherche et l'indexation de documents sur les plateformes .NET et Java. Que vous construisiez un petit outil interne ou une solution d'entreprise à grande échelle, ces guides étape par étape vous aideront à implémenter une fonctionnalité de recherche rapide, précise et évolutive. Vous apprendrez tout, de l'indexation de base à la construction de requêtes sophistiquées, tout en tirant parti de la puissance complète de GroupDocs.Search.
+
+## Pourquoi utiliser le tutoriel GroupDocs.Search ?
+
+La série de tutoriels est conçue en tenant compte de scénarios réels, afin que vous puissiez rapidement appliquer ce que vous apprenez à vos projets. En suivant ces guides, vous :
+
+- Acquérir une compréhension solide des techniques **d'indexation de documents**.
+- Apprendre à créer des **capacités de recherche** efficaces qui gèrent de grandes collections de documents.
+- Explorer des fonctionnalités avancées telles que la recherche floue, la mise en évidence et les réseaux de recherche distribués.
+- Réduire le temps de développement grâce à des instructions claires, illustrées d'exemples, pour les environnements .NET et Java.
+
+{{% alert color="primary" %}}
+Explorez les puissantes capacités de recherche de documents dans .NET avec les tutoriels GroupDocs.Search. Des techniques d'indexation de base aux techniques de recherche avancées, nos tutoriels offrent des conseils complets pour les développeurs de tous niveaux. Plongez dans divers sujets tels que la recherche booléenne, la recherche floue, la mise en évidence, la gestion de dictionnaires et les solutions de recherche distribuées, libérant le plein potentiel de GroupDocs.Search pour .NET. Améliorez la fonctionnalité de recherche de votre application et simplifiez la découverte de documents grâce à nos tutoriels faciles à suivre.
+{{% /alert %}}
+
+## Tutoriels GroupDocs.Search pour .NET
+
+### Tutoriels essentiels de recherche .NET
+
+- [Indexation](./net/indexing/)
+- [Recherche](./net/searching/)
+- [Mise en évidence](./net/highlighting/)
+- [Dictionnaires et traitement du langage](./net/dictionaries-language-processing/)
+- [Gestion de documents](./net/document-management/)
+- [OCR et recherche d'images](./net/ocr-image-search/)
+- [Fonctionnalités avancées](./net/advanced-features/)
+- [Réseau de recherche](./net/search-network/)
+- [Optimisation des performances](./net/performance-optimization/)
+- [Gestion des exceptions et journalisation](./net/exception-handling-logging/)
+- [Intégration et interopérabilité](./net/integration-interoperability/)
+- [Licence et configuration](./net/licensing-configuration/)
+- [Extraction et traitement du texte](./net/text-extraction-processing/)
+- [Requêtes et construction de requêtes](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Découvrez des tutoriels complets pour GroupDocs.Search en Java. Des techniques d'indexation de base aux fonctionnalités de recherche avancées, nos guides étape par étape offrent aux développeurs Java les connaissances nécessaires pour implémenter des solutions puissantes de recherche de documents. Apprenez à travailler avec divers formats de documents, y compris PDF, Word, Excel, présentations, et plus encore. Maîtrisez les techniques de création d'index, d'exécution de différents types de recherche, de mise en évidence des résultats et d'optimisation des performances afin d'améliorer vos applications Java avec des capacités de recherche robustes.
+{{% /alert %}}
+
+## Tutoriels GroupDocs.Search pour Java
+
+### Tutoriels essentiels de recherche Java
+
+- [Commencer](./java/getting-started/)
+- [Indexation](./java/indexing/)
+- [Recherche](./java/searching/)
+- [Mise en évidence](./java/highlighting/)
+- [Dictionnaires et traitement du langage](./java/dictionaries-language-processing/)
+- [Gestion de documents](./java/document-management/)
+- [OCR et recherche d'images](./java/ocr-image-search/)
+- [Fonctionnalités avancées](./java/advanced-features/)
+- [Réseau de recherche](./java/search-network/)
+- [Optimisation des performances](./java/performance-optimization/)
+- [Gestion des exceptions et journalisation](./java/exception-handling-logging/)
+- [Licence et configuration](./java/licensing-configuration/)
+- [Extraction et traitement du texte](./java/text-extraction-processing/)
+
+---
+
+**Dernière mise à jour :** 2025-12-16
+**Auteur :** GroupDocs
\ No newline at end of file
diff --git a/content/french/java/advanced-features/_index.md b/content/french/java/advanced-features/_index.md
new file mode 100644
index 00000000..a2cbf5ec
--- /dev/null
+++ b/content/french/java/advanced-features/_index.md
@@ -0,0 +1,60 @@
+---
+date: 2025-12-16
+description: Apprenez à créer un index de recherche et à implémenter la recherche
+ par plage de dates, la recherche à facettes et le filtrage de documents avec les
+ tutoriels GroupDocs.Search Java.
+title: 'Créer un index de recherche - Tutoriels Java GroupDocs.Search'
+type: docs
+url: /fr/java/advanced-features/
+weight: 8
+---
+
+# Créer un index de recherche : Tutoriels GroupDocs.Search Java
+
+Bienvenue sur le hub pour **créer un index de recherche** et débloquer des capacités de recherche avancées avec GroupDocs.Search pour Java. Que vous cherchiez à **implémenter des requêtes de plage de dates**, à appliquer le **filtrage d'extension de fichier Java**, ou à créer des solutions de **recherche complexe Java**, ces tutoriels vous offrent des instructions étape par étape, des exemples concrets et du code prêt à l'exécution. À la fin de ce guide, vous comprendrez comment concevoir des expériences de recherche puissantes qui s'adaptent à de grandes collections de documents.
+
+## Comment créer un index de recherche avec GroupDocs.Search Java ?
+
+Construire un index de recherche robuste est la base de toute fonctionnalité de recherche sophistiquée. Dans les tutoriels ci‑dessous, vous verrez comment :
+
+* Configurer un index et ajouter des documents efficacement.
+* Utiliser les métadonnées et les attributs pour enrichir les résultats de recherche.
+* Appliquer des filtres tels que **document filtering java** et **file extension filtering java** pour affiner les résultats.
+* Exécuter des requêtes **complex search java** qui combinent plusieurs critères, y compris les contraintes **implement date range**.
+
+## Tutoriels disponibles
+
+### [Recherche de documents par blocs en Java: Guide complet utilisant GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Apprenez à implémenter des recherches de documents par blocs efficaces avec GroupDocs.Search pour Java. Améliorez la productivité et gérez de grands ensembles de données sans effort.
+
+### [Recherches à facettes et complexes en Java: Maîtrisez GroupDocs.Search pour les fonctionnalités avancées](./faceted-complex-search-groupdocs-java/)
+Apprenez à implémenter des recherches à facettes et complexes dans les applications Java en utilisant GroupDocs.Search, améliorant la fonctionnalité de recherche et l'expérience utilisateur.
+
+### [Implémenter GroupDocs.Search Java: Guide complet d'indexation et de reporting](./groupdocs-search-java-index-report-guide/)
+Maîtrisez GroupDocs.Search en Java pour une indexation de documents efficace et le reporting. Apprenez à créer des index, ajouter des documents et générer des rapports avec ce guide détaillé.
+
+### [Maîtriser les recherches par plage de dates en Java avec GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Un tutoriel de code pour GroupDocs.Search Java
+
+### [Maîtriser GroupDocs.Search Java: Fonctionnalités de recherche avancées pour une récupération efficace des données](./groupdocs-search-java-advanced-search-features/)
+Apprenez à maîtriser les fonctionnalités de recherche avancées dans GroupDocs.Search pour Java, y compris la gestion des erreurs, les différents types de requêtes et l'optimisation des performances.
+
+### [Maîtriser le filtrage de fichiers Java avec GroupDocs.Search: Guide étape par étape](./master-java-file-filtering-groupdocs-search/)
+Apprenez à gérer et filtrer efficacement les fichiers en Java en utilisant GroupDocs.Search, y compris le filtrage d'extension de fichier, les opérateurs logiques, et plus encore.
+
+### [Maîtriser GroupDocs.Search pour Java: Votre guide complet d'indexation et de recherche de documents](./groupdocs-search-java-implementation-guide/)
+Apprenez à implémenter GroupDocs.Search en Java avec ce guide complet. Découvrez l'extraction de texte robuste, la sérialisation, l'indexation et les fonctionnalités de recherche.
+
+## Ressources supplémentaires
+
+- [Documentation GroupDocs.Search pour Java](https://docs.groupdocs.com/search/java/)
+- [Référence API GroupDocs.Search pour Java](https://reference.groupdocs.com/search/java/)
+- [Télécharger GroupDocs.Search pour Java](https://releases.groupdocs.com/search/java/)
+- [Forum GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [Support gratuit](https://forum.groupdocs.com/)
+- [Licence temporaire](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Dernière mise à jour :** 2025-12-16
+**Auteur :** GroupDocs
\ No newline at end of file
diff --git a/content/french/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/french/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
new file mode 100644
index 00000000..f7190129
--- /dev/null
+++ b/content/french/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -0,0 +1,256 @@
+---
+date: '2025-12-16'
+description: Apprenez à créer un index de recherche Java et à implémenter des recherches
+ facettées et complexes avec GroupDocs.Search, améliorant les performances de recherche
+ et l'expérience utilisateur.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Créer un index de recherche Java – Recherches facettées et complexes
+type: docs
+url: /fr/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Créer un index de recherche Java – Recherches à facettes et complexes
+
+Implémenter une **expérience de recherche** puissante en Java peut sembler intimidant, surtout lorsque vous devez **créer un index de recherche Java** pour des projets qui gèrent de grandes collections de documents. Heureusement, **GroupDocs.Search for Java** fournit une API riche qui vous permet de créer des requêtes à facettes et complexes en quelques lignes de code. Dans ce tutoriel, vous découvrirez comment configurer la bibliothèque, **créer un index de recherche Java**, ajouter des documents, et exécuter à la fois des recherches à facettes simples et des requêtes multi‑critères sophistiquées.
+
+## Quick Answers
+- **Qu'est‑ce qu'une recherche à facettes ?** Une façon de filtrer les résultats par catégories prédéfinies (par ex., type de fichier, date).
+- **Comment créer un index de recherche Java ?** Initialise un objet `Index` pointant vers un dossier et ajoute des documents.
+- **Puis‑je combiner plusieurs critères ?** Oui—utilisez des requêtes basées sur des objets ou des opérateurs booléens dans une requête texte.
+- **Ai‑je besoin d'une licence ?** Un essai gratuit suffit pour le développement ; une licence commerciale supprime les limites.
+- **Quel IDE est le plus adapté ?** Tout IDE Java (IntelliJ IDEA, Eclipse, NetBeans) fonctionne parfaitement.
+
+## Qu’est‑ce que « créer un index de recherche java » ?
+Créer un index de recherche en Java signifie construire une structure de données interrogeable qui stocke les métadonnées et le contenu des documents, permettant une récupération rapide basée sur les requêtes des utilisateurs. Avec GroupDocs.Search, l'index est stocké sur le disque, peut être mis à jour de façon incrémentielle, et prend en charge des fonctionnalités avancées comme les facettes et la logique booléenne complexe.
+
+## Pourquoi utiliser GroupDocs.Search pour des requêtes à facettes et complexes ?
+- **Facettage prêt à l'emploi** – filtrer par champs tels que le nom de fichier, la taille ou des métadonnées personnalisées.
+- **Langage de requête riche** – combiner des requêtes texte, phrase et champ en utilisant les opérateurs AND/OR/NOT.
+- **Performance évolutive** – indexe des millions de documents tout en maintenant une faible latence de recherche.
+- **Pure Java** – aucune dépendance native, fonctionne sur toute plateforme exécutant JDK 8+.
+
+## Prerequisites
+
+Avant de commencer, assurez‑vous d'avoir les éléments suivants :
+
+- **JDK 8 ou supérieur** installé et configuré dans votre IDE.
+- **Maven** (ou Gradle) pour la gestion des dépendances.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Familiarité de base avec les concepts OOP Java et la structure de projet Maven.
+
+## Setting Up GroupDocs.Search for Java
+
+### Maven Setup
+Ajoutez le dépôt et la dépendance à votre fichier `pom.xml` :
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Direct Download
+Sinon, téléchargez le JAR le plus récent depuis la page officielle des releases :
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### License Acquisition
+Pour débloquer toutes les fonctionnalités :
+
+1. **Essai gratuit** – idéal pour le développement et les tests.
+2. **Licence d'évaluation temporaire** – prolonge les limites de l'essai.
+3. **Licence commerciale** – supprime toutes les restrictions pour l'utilisation en production.
+
+### Basic Initialization and Setup
+L'extrait suivant montre comment **créer un index de recherche Java** en instanciant la classe `Index` :
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Avec l'index prêt, nous pouvons passer aux requêtes à facettes et complexes du monde réel.
+
+## Comment créer un index de recherche java – Recherche à facettes simple
+
+La recherche à facettes permet aux utilisateurs finaux de restreindre les résultats en sélectionnant des valeurs parmi des catégories prédéfinies (facettes). Voici un guide étape par étape.
+
+### Étape 1 : Créer un index
+Tout d'abord, pointez le `Index` vers un dossier où les fichiers d'index seront stockés.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Étape 2 : Ajouter des documents à l'index
+Indiquez à GroupDocs.Search où se trouvent vos documents sources. Tous les types de fichiers pris en charge (PDF, DOCX, TXT, etc.) seront indexés automatiquement.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Étape 3 : Effectuer une recherche dans le champ Content avec une requête texte
+Une requête texte rapide filtre par le champ `content`. La syntaxe `content: Pellentesque` limite les résultats aux documents contenant le mot *Pellentesque* dans le texte du corps.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Étape 4 : Effectuer une recherche en utilisant une requête objet
+Les requêtes basées sur des objets offrent un contrôle fin. Ici, nous construisons une requête mot, l'encapsulons dans une requête de champ, puis l'exécutons.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Comment créer un index de recherche java – Recherche de requêtes complexes
+
+Les requêtes complexes combinent plusieurs champs, des opérateurs booléens et des recherches de phrases. C’est idéal pour des scénarios tels que les filtres e‑commerce ou la recherche de documents juridiques.
+
+### Étape 1 : Créer un index pour les requêtes complexes
+Réutilisez la même structure de dossiers ; vous pouvez partager l'index entre les scénarios simples et complexes.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Étape 2 : Effectuer une recherche avec une requête texte
+La requête suivante recherche des fichiers nommés *lorem* **et** *ipsum* **ou** du contenu contenant l'une des deux phrases exactes.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Étape 3 : Effectuer une recherche avec une requête objet
+La construction basée sur des objets reflète la requête textuelle mais offre la sécurité de type et l'assistance de l'IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Applications pratiques des recherches à facettes et complexes
+
+| Scenario | How Faceting Helps | Example Query |
+|----------|-------------------|---------------|
+| **Catalogue e‑commerce** | Filtrer par catégorie, prix, marque | `category: Electronics AND price:[100 TO 500]` |
+| **Référentiel de documents juridiques** | Restreindre par numéro de dossier, juridiction | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Archives de recherche** | Combiner auteur, année de publication, mots‑clés | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Intranet d'entreprise** | Rechercher par type de fichier et département | `filetype: pdf AND department: HR` |
+
+## Pièges courants & dépannage
+
+- **Résultats vides** – Vérifiez que les documents ont bien été ajoutés (`index.getDocumentCount()` peut aider).
+- **Index obsolète** – Après avoir ajouté ou supprimé des fichiers, appelez `index.update()` pour garder l'index synchronisé.
+- **Noms de champs incorrects** – Utilisez les constantes `CommonFieldNames` (`Content`, `FileName`, etc.) pour éviter les fautes de frappe.
+- **Goulots d'étranglement de performance** – Pour de très grandes collections, envisagez d'activer `index.setCacheSize()` ou d'utiliser un SSD dédié pour le dossier d'index.
+
+## Frequently Asked Questions
+
+**Q : Puis‑je utiliser GroupDocs.Search avec Spring Boot ?**
+R : Absolument. Il suffit d’ajouter la dépendance Maven, de configurer l’index comme bean Spring, et de l’injecter où nécessaire.
+
+**Q : La bibliothèque prend‑elle en charge les champs de métadonnées personnalisés ?**
+R : Oui – vous pouvez ajouter des champs définis par l’utilisateur lors de l’indexation puis les utiliser comme facettes.
+
+**Q : Quelle taille peut atteindre l’index ?**
+R : L’index est basé sur le disque et peut gérer des millions de documents ; assurez‑vous simplement d’avoir suffisamment d’espace de stockage et surveillez les paramètres de cache.
+
+**Q : Existe‑t‑il un moyen de classer les résultats par pertinence ?**
+R : GroupDocs.Search attribue automatiquement un score aux correspondances ; vous pouvez récupérer le score via `SearchResult.getDocument(i).getScore()`.
+
+**Q : Que se passe‑t‑il si j’indexe des PDF chiffrés ?**
+R : Fournissez le mot de passe lors de l’ajout du document : `index.add(filePath, password)`.
+
+## Conclusion
+
+À présent, vous devriez être à l’aise pour **créer un index de recherche Java** avec GroupDocs.Search, ajouter des documents, et concevoir à la fois des requêtes à facettes simples et des recherches booléennes sophistiquées. Ces capacités vous permettent d’offrir des expériences de recherche rapides, précises et conviviales dans un large éventail d’applications—des plateformes e‑commerce aux bases de connaissances d’entreprise.
+
+Prêt pour l’étape suivante ? Explorez les fonctionnalités avancées de **GroupDocs.Search** telles que le **mise en évidence**, les **suggestions**, et l’**indexation en temps réel** pour renforcer davantage la puissance de recherche de votre application.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 for Java
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/french/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/french/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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--- /dev/null
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@@ -0,0 +1,249 @@
+---
+date: '2025-12-16'
+description: Apprenez à effectuer une recherche par intervalle de dates et d’autres
+ fonctionnalités de recherche avancées telles que la recherche à facettes en Java
+ avec GroupDocs.Search for Java, y compris la gestion des erreurs et l’optimisation
+ des performances.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Recherche par intervalle de dates et fonctionnalités
+ avancées'
+type: docs
+url: /fr/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Maîtriser GroupDocs.Search Java : Recherche par intervalle de dates et fonctionnalités avancées
+
+Dans les applications axées sur les données d'aujourd'hui, la **date range search** est une fonctionnalité essentielle qui vous permet de filtrer les documents par périodes temporelles, améliorant considérablement la pertinence et la rapidité. Que vous construisiez un portail de conformité, un catalogue e‑commerce ou un système de gestion de contenu, maîtriser la date range search ainsi que d'autres types de requêtes puissants rendra votre solution à la fois flexible et robuste. Ce guide vous accompagne dans la gestion des erreurs, une gamme complète de types de requêtes et des conseils de performance, le tout avec du vrai code Java que vous pouvez copier‑coller.
+
+## Réponses rapides
+- **Qu'est‑ce que la date range search ?** Filtrer les documents contenant des dates dans un intervalle spécifié de début à fin.
+- **Quelle bibliothèque la fournit ?** GroupDocs.Search for Java.
+- **Ai‑je besoin d'une licence ?** Un essai gratuit fonctionne pour le développement ; une licence de production est requise pour une utilisation commerciale.
+- **Puis‑je la combiner avec d'autres requêtes ?** Oui — combinez les intervalles de dates avec des requêtes booléennes, facettées ou regex.
+- **Est‑elle rapide pour de grands ensembles de données ?** Lorsqu'elle est correctement indexée, les recherches s'exécutent en moins d'une seconde même sur des millions d'enregistrements.
+
+## Qu'est‑ce que la date range search ?
+La date range search vous permet de localiser les documents contenant des dates comprises entre deux limites, comme « 2023‑01‑01 ~~ 2023‑12‑31 ». Elle est essentielle pour les rapports, les journaux d’audit et tout scénario où le filtrage basé sur le temps est important.
+
+## Pourquoi utiliser GroupDocs.Search pour Java ?
+GroupDocs.Search propose une API unifiée pour de nombreux types de requêtes — simple, wildcard, faceted, numeric, date range, regex, boolean et phrase — vous permettant de créer des expériences de recherche sophistiquées sans jongler avec plusieurs bibliothèques. Sa gestion des erreurs basée sur les événements maintient également votre pipeline d'indexation résilient.
+
+## Prérequis
+- **GroupDocs.Search Java library** (v25.4 ou plus récent).
+- **Java Development Kit (JDK)** compatible avec votre projet.
+- Maven pour la gestion des dépendances (ou téléchargement manuel).
+
+### Bibliothèques requises et configuration de l'environnement
+Ajoutez le dépôt GroupDocs et la dépendance à votre `pom.xml` :
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Configuration alternative
+Pour des téléchargements directs, visitez [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Licence et configuration initiale
+Commencez avec un essai gratuit ou une licence temporaire :
+
+- Visitez [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) pour plus de détails.
+
+Créons maintenant le dossier d'index qui contiendra vos données recherchables.
+
+## Configuration de GroupDocs.Search pour Java
+
+### Initialisation de base
+Tout d'abord, instanciez un objet `Index` qui pointe vers un dossier sur le disque :
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Vous avez maintenant une passerelle vers toutes les opérations de recherche.
+
+## Guide d'implémentation
+
+### Fonctionnalité 1 : Gestion des erreurs lors de l'indexation
+#### Comment capturer les erreurs d'indexation (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Pourquoi c'est important* : En écoutant `ErrorOccurred`, vous pouvez consigner les problèmes, réessayer les fichiers échoués ou alerter les utilisateurs sans faire planter l'ensemble du processus.
+
+### Fonctionnalité 2 : Requête de recherche simple
+#### Qu'est‑ce qu'une recherche simple ?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Résultat* : Retourne chaque document contenant le terme **volutpat**.
+
+### Fonctionnalité 3 : Requête de recherche avec joker
+#### Comment fonctionne la recherche avec joker ?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Résultat* : Correspond à la fois **affect** et **effect**, montrant la puissance du caractère de remplacement `?`.
+
+### Fonctionnalité 4 : Requête de recherche facettée
+#### Comment effectuer une recherche facettée en Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Résultat* : Limite la recherche au champ **Content**, idéal pour filtrer par métadonnées telles que la catégorie ou l'auteur.
+
+### Fonctionnalité 5 : Requête de recherche par intervalle numérique
+#### Comment rechercher des intervalles numériques
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Résultat* : Récupère les documents où les valeurs numériques se situent entre 2000 et 3000.
+
+### Fonctionnalité 6 : Requête de recherche par intervalle de dates
+#### Comment exécuter une recherche par intervalle de dates
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Explication* : En personnalisant `SearchOptions`, vous indiquez au moteur de reconnaître les dates au format **MM/DD/YYYY**, puis de récupérer tous les enregistrements entre le 1 janvier 2000 et le 15 juin 2001.
+
+### Fonctionnalité 7 : Requête de recherche par expression régulière
+#### Comment exécuter une recherche regex en Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Résultat* : Trouve des séquences de trois caractères identiques ou plus (par ex., « aaa », « 111 »).
+
+### Fonctionnalité 8 : Requête de recherche booléenne
+#### Comment combiner des conditions avec une recherche booléenne en Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Résultat* : Retourne les documents contenant **justo** mais exclut ceux qui contiennent également **3456**.
+
+### Fonctionnalité 9 : Requête booléenne complexe
+#### Comment créer des requêtes booléennes avancées
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Résultat* : Recherche des noms de fichiers similaires à « English » (permettant 1 à 3 variations de caractères) **ou** du contenu contenant à la fois **3456** et **consequat**.
+
+### Fonctionnalité 10 : Recherche de phrase
+#### Comment rechercher des phrases exactes
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Résultat* : Récupère uniquement les documents contenant la phrase exacte **ipsum dolor sit amet**.
+
+## Applications pratiques
+- **E‑commerce Platforms** – Utilisez la recherche facettée Java pour filtrer les produits par taille, couleur et marque.
+- **Content Management Systems** – Combinez la recherche booléenne Java avec la recherche de phrase pour alimenter des outils éditoriaux sophistiqués.
+- **Data Analysis Tools** – Exploitez la date range search pour générer des rapports et tableaux de bord basés sur le temps.
+
+## Problèmes courants et solutions
+- **No results for date range search** – Vérifiez que le format de date dans vos documents correspond au `DateFormat` personnalisé que vous avez ajouté.
+- **Regex queries return too many hits** – Affinez le motif ou limitez la portée de la recherche avec des qualificatifs de champ supplémentaires.
+- **Indexing errors not captured** – Assurez‑vous que le gestionnaire d'événements est attaché **avant** d'appeler `index.add(...)`.
+
+## Questions fréquentes
+**Q : Puis‑je mélanger la date range search avec d'autres types de requêtes ?**
+R : Absolument. Vous pouvez combiner une clause d'intervalle de dates avec des opérateurs booléens, des filtres facettés ou des motifs regex dans une seule chaîne de requête.
+
+**Q : Dois‑je reconstruire l'index après avoir changé les formats de dates ?**
+R : Oui. L'index stocke des termes tokenisés ; mettre à jour uniquement `SearchOptions` ne re‑tokenisera pas les données existantes. Ré‑indexez les documents après avoir modifié les formats.
+
+**Q : Comment GroupDocs.Search gère‑t‑il les grands index ?**
+R : Il utilise l'indexation incrémentielle et le stockage sur disque, vous permettant de passer à des millions de documents tout en maintenant une faible consommation de mémoire.
+
+**Q : Existe‑t‑il une limite au nombre de caractères joker ?**
+R : Les jokers sont traités efficacement, mais l'utilisation de nombreux jokers en tête (par ex., `*term`) peut dégrader les performances. Privilégiez les jokers en préfixe ou suffixe.
+
+**Q : Quel modèle de licence est recommandé pour la production ?**
+R : Une licence perpétuelle ou d'abonnement de GroupDocs vous assure de recevoir les mises à jour, le support et la possibilité de déployer sans les limitations d'essai.
+
+## Conclusion
+En maîtrisant la **date range search** et l'ensemble complet des types de requêtes avancées proposés par GroupDocs.Search pour Java, vous pouvez créer des expériences de recherche hautement réactives et riches en fonctionnalités. Mettez en œuvre une gestion robuste des erreurs, affinez votre index et combinez les requêtes pour répondre à pratiquement n'importe quel scénario de récupération. Commencez à expérimenter dès aujourd'hui et améliorez les capacités d'accès aux données de votre application.
+
+---
+
+**Dernière mise à jour :** 2025-12-16
+**Testé avec :** GroupDocs.Search 25.4 (Java)
+**Auteur :** GroupDocs
\ No newline at end of file
diff --git a/content/german/_index.md b/content/german/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/german/_index.md
@@ -0,0 +1,76 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Entdecken Sie die GroupDocs.Search‑Tutorialsammlung für .NET‑ und Java‑Entwickler.
+ Beherrschen Sie die Dokumentenindizierung, Suchfunktionen und erweiterte Features
+ mühelos.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: GroupDocs.Search‑Tutorial – Entfesseln Sie die Kraft der Dokumentensuche
+type: docs
+url: /de/
+weight: 11
+---
+
+# GroupDocs.Search Tutorial – Entfesseln Sie die Leistungsfähigkeit der Dokumentensuche
+
+Willkommen im **GroupDocs.Search tutorial** Hub, Ihrer zentralen Anlaufstelle, um die Dokumentensuche und -indizierung für .NET- und Java-Plattformen zu meistern. Egal, ob Sie ein kleines internes Tool oder eine groß angelegte Unternehmenslösung erstellen, diese Schritt‑für‑Schritt‑Anleitungen helfen Ihnen, schnelle, genaue und skalierbare Suchfunktionen zu implementieren. Sie lernen alles von der grundlegenden Indizierung bis hin zum anspruchsvollen Aufbau von Abfragen, und nutzen dabei die volle Leistungsfähigkeit von GroupDocs.Search.
+
+## Warum das GroupDocs.Search Tutorial verwenden?
+
+Die Tutorial‑Reihe ist mit realen Anwendungsszenarien im Hinterkopf konzipiert, sodass Sie das Gelernte schnell in Ihren Projekten anwenden können. Wenn Sie diesen Anleitungen folgen, werden Sie:
+
+- Ein fundiertes Verständnis von **document indexing**‑Techniken erlangen.
+- Lernen, wie man effiziente **search capabilities** erstellt, die große Dokumentensammlungen verarbeiten.
+- Fortgeschrittene Funktionen wie Fuzzy‑Suche, Hervorhebung und verteilte Suchnetzwerke erkunden.
+- Die Entwicklungszeit reduzieren dank klarer, beispielbasierter Anleitungen für .NET‑ und Java‑Umgebungen.
+
+{{% alert color="primary" %}}
+Entdecken Sie leistungsstarke Dokumentensuch‑Funktionen in .NET mit den GroupDocs.Search‑Tutorials. Von der grundlegenden Indizierung bis zu fortgeschrittenen Suchtechniken bieten unsere Tutorials umfassende Anleitungen für Entwickler aller Erfahrungsstufen. Tauchen Sie ein in verschiedene Themen wie Boolesche Suche, Fuzzy‑Suche, Hervorhebung, Wörterbuchverwaltung und verteilte Suchlösungen und nutzen Sie das volle Potenzial von GroupDocs.Search für .NET. Verbessern Sie die Suchfunktionalität Ihrer Anwendung und optimieren Sie die Dokumentenfindung mit unseren leicht nachvollziehbaren Tutorials.
+{{% /alert %}}
+
+## GroupDocs.Search für .NET‑Tutorials
+
+### Wesentliche .NET‑Such‑Tutorials
+
+- [Indizierung](./net/indexing/)
+- [Suche](./net/searching/)
+- [Hervorhebung](./net/highlighting/)
+- [Wörterbücher & Sprachverarbeitung](./net/dictionaries-language-processing/)
+- [Dokumentenverwaltung](./net/document-management/)
+- [OCR & Bildsuche](./net/ocr-image-search/)
+- [Erweiterte Funktionen](./net/advanced-features/)
+- [Suchnetzwerk](./net/search-network/)
+- [Performance‑Optimierung](./net/performance-optimization/)
+- [Fehlerbehandlung & Protokollierung](./net/exception-handling-logging/)
+- [Integration & Interoperabilität](./net/integration-interoperability/)
+- [Lizenzierung & Konfiguration](./net/licensing-configuration/)
+- [Textextraktion & Verarbeitung](./net/text-extraction-processing/)
+- [Abfragen & Abfrageerstellung](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Entdecken Sie umfassende Tutorials für GroupDocs.Search in Java. Von grundlegenden Indizierungstechniken bis zu fortgeschrittener Suchfunktionalität bieten unsere Schritt‑für‑Schritt‑Anleitungen Java‑Entwicklern das Wissen, leistungsstarke Dokumentensuch‑Lösungen zu implementieren. Lernen Sie den Umgang mit verschiedenen Dokumentformaten wie PDF, Word, Excel, Präsentationen und mehr. Beherrschen Sie Techniken zur Erstellung von Indizes, zur Durchführung verschiedener Sucharten, zur Hervorhebung von Ergebnissen und zur Leistungsoptimierung, um Ihre Java‑Anwendungen mit robusten Suchfähigkeiten zu erweitern.
+{{% /alert %}}
+
+## GroupDocs.Search für Java‑Tutorials
+
+### Wesentliche Java‑Such‑Tutorials
+
+- [Erste Schritte](./java/getting-started/)
+- [Indizierung](./java/indexing/)
+- [Suche](./java/searching/)
+- [Hervorhebung](./java/highlighting/)
+- [Wörterbücher & Sprachverarbeitung](./java/dictionaries-language-processing/)
+- [Dokumentenverwaltung](./java/document-management/)
+- [OCR & Bildsuche](./java/ocr-image-search/)
+- [Erweiterte Funktionen](./java/advanced-features/)
+- [Suchnetzwerk](./java/search-network/)
+- [Performance‑Optimierung](./java/performance-optimization/)
+- [Fehlerbehandlung & Protokollierung](./java/exception-handling-logging/)
+- [Lizenzierung & Konfiguration](./java/licensing-configuration/)
+- [Textextraktion & Verarbeitung](./java/text-extraction-processing/)
+
+---
+
+**Zuletzt aktualisiert:** 2025-12-16
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/german/java/advanced-features/_index.md b/content/german/java/advanced-features/_index.md
new file mode 100644
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+---
+date: 2025-12-16
+description: Erfahren Sie, wie Sie einen Suchindex erstellen und Datumsbereich, facettierte
+ Suche und Dokumentenfilterung mit den GroupDocs.Search Java‑Tutorials implementieren.
+title: 'Suchindex erstellen - GroupDocs.Search Java‑Tutorials'
+type: docs
+url: /de/java/advanced-features/
+weight: 8
+---
+
+# Suchindex erstellen: GroupDocs.Search Java Tutorials
+
+Willkommen im Zentrum für **Erstellung eines Suchindex** und das Freischalten fortgeschrittener Suchfunktionen mit GroupDocs.Search für Java. Egal, ob Sie **Datumsbereich implementieren**‑Abfragen, **Dateierweiterungsfilterung Java** anwenden oder **komplexe Suche Java**‑Lösungen erstellen möchten, diese Tutorials bieten Ihnen Schritt‑für‑Schritt‑Anleitungen, praxisnahe Beispiele und sofort ausführbaren Code. Am Ende dieses Leitfadens verstehen Sie, wie Sie leistungsstarke Sucherlebnisse entwerfen, die mit großen Dokumentensammlungen skalieren.
+
+## Wie erstellt man einen Suchindex mit GroupDocs.Search Java?
+Der Aufbau eines robusten Suchindex ist die Grundlage für jede anspruchsvolle Suchfunktion. In den nachfolgenden Tutorials sehen Sie, wie man:
+
+* Einen Index einrichten und Dokumente effizient hinzufügen.
+* Metadaten und Attribute verwenden, um Suchergebnisse anzureichern.
+* Filter anwenden, wie **document filtering java** und **file extension filtering java**, um die Ergebnisse einzugrenzen.
+* **complex search java**‑Abfragen ausführen, die mehrere Kriterien kombinieren, einschließlich **implement date range**‑Einschränkungen.
+
+## Verfügbare Tutorials
+
+### [Chunk-basierte Dokumentensuche in Java: Ein umfassender Leitfaden mit GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Erfahren Sie, wie Sie effiziente, chunk-basierte Dokumentensuchen mit GroupDocs.Search für Java implementieren. Steigern Sie die Produktivität und verwalten Sie große Datensätze nahtlos.
+
+### [Facettierte und komplexe Suchen in Java: GroupDocs.Search für erweiterte Funktionen meistern](./faceted-complex-search-groupdocs-java/)
+Erfahren Sie, wie Sie facettierte und komplexe Suchen in Java‑Anwendungen mit GroupDocs.Search implementieren, um die Suchfunktionalität und das Benutzererlebnis zu verbessern.
+
+### [Implementierung von GroupDocs.Search Java: Umfassender Leitfaden für Indexierung und Reporting](./groupdocs-search-java-index-report-guide/)
+Meistern Sie GroupDocs.Search in Java für effiziente Dokumenten‑Indexierung und Reporting. Lernen Sie, wie Sie Indizes erstellen, Dokumente hinzufügen und Berichte mit diesem detaillierten Leitfaden generieren.
+
+### [Datumsbereichssuchen in Java mit GroupDocs.Search meistern](./master-date-range-searches-groupdocs-java/)
+Ein Code‑Tutorial für GroupDocs.Search Java
+
+### [GroupDocs.Search Java meistern: Erweiterte Suchfunktionen für effiziente Datenabfrage](./groupdocs-search-java-advanced-search-features/)
+Erfahren Sie, wie Sie erweiterte Suchfunktionen in GroupDocs.Search für Java beherrschen, einschließlich Fehlerbehandlung, verschiedener Abfragetypen und Leistungsoptimierung.
+
+### [Java-Dateifilterung mit GroupDocs.Search meistern: Eine Schritt‑für‑Schritt‑Anleitung](./master-java-file-filtering-groupdocs-search/)
+Erfahren Sie, wie Sie Dateien in Java effizient verwalten und filtern mit GroupDocs.Search, einschließlich Dateierweiterungen, logischer Operatoren und mehr.
+
+### [GroupDocs.Search für Java meistern: Ihr vollständiger Leitfaden für Dokumenten‑Indexierung und Suche](./groupdocs-search-java-implementation-guide/)
+Erfahren Sie, wie Sie GroupDocs.Search in Java mit diesem umfassenden Leitfaden implementieren. Entdecken Sie robuste Text‑Extraktion, Serialisierung, Indexierung und Suchfunktionen.
+
+## Zusätzliche Ressourcen
+
+- [GroupDocs.Search für Java Dokumentation](https://docs.groupdocs.com/search/java/)
+- [GroupDocs.Search für Java API‑Referenz](https://reference.groupdocs.com/search/java/)
+- [GroupDocs.Search für Java herunterladen](https://releases.groupdocs.com/search/java/)
+- [GroupDocs.Search Forum](https://forum.groupdocs.com/c/search)
+- [Kostenloser Support](https://forum.groupdocs.com/)
+- [Temporäre Lizenz](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Zuletzt aktualisiert:** 2025-12-16
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/german/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/german/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
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+---
+date: '2025-12-16'
+description: Erfahren Sie, wie Sie einen Suchindex in Java erstellen und facettierte
+ sowie komplexe Suchen mit GroupDocs.Search implementieren, um die Suchleistung und
+ das Benutzererlebnis zu verbessern.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Suchindex in Java erstellen – facettierte und komplexe Suchen
+type: docs
+url: /de/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Suchindex in Java erstellen – Facettierte & komplexe Suchen
+
+Die Implementierung einer leistungsstarken **search experience** in Java kann überwältigend wirken, besonders wenn Sie **create search index Java**‑Projekte benötigen, die große Dokumentensammlungen verarbeiten. Glücklicherweise bietet **GroupDocs.Search for Java** eine umfangreiche API, mit der Sie facettierte und komplexe Abfragen mit nur wenigen Codezeilen erstellen können. In diesem Tutorial erfahren Sie, wie Sie die Bibliothek einrichten, **create a search index Java**, Dokumente hinzufügen und sowohl einfache facettierte Suchen als auch anspruchsvolle Multi‑Kriterien‑Abfragen ausführen.
+
+## Schnelle Antworten
+- **What is a faceted search?** Eine Möglichkeit, Ergebnisse nach vordefinierten Kategorien (z. B. Dateityp, Datum) zu filtern.
+- **How do I create a search index Java?** Initialisieren Sie ein `Index`‑Objekt, das auf einen Ordner zeigt, und fügen Sie Dokumente hinzu.
+- **Can I combine multiple criteria?** Ja – verwenden Sie objektbasierte Abfragen oder boolesche Operatoren in einer Textabfrage.
+- **Do I need a license?** Eine kostenlose Testversion funktioniert für die Entwicklung; eine kommerzielle Lizenz entfernt Beschränkungen.
+- **Which IDE works best?** Jede Java‑IDE (IntelliJ IDEA, Eclipse, NetBeans) funktioniert gut.
+
+## Was bedeutet „create search index java“?
+Das Erstellen eines Suchindexes in Java bedeutet, eine durchsuchbare Datenstruktur aufzubauen, die Dokumentmetadaten und -inhalt speichert und eine schnelle Abrufung basierend auf Benutzerabfragen ermöglicht. Mit GroupDocs.Search befindet sich der Index auf der Festplatte, kann inkrementell aktualisiert werden und unterstützt erweiterte Funktionen wie Facettierung und komplexe boolesche Logik.
+
+## Warum GroupDocs.Search für facettierte und komplexe Abfragen verwenden?
+- **Out‑of‑the‑box faceting** – Filtern nach Feldern wie Dateiname, Größe oder benutzerdefinierten Metadaten.
+- **Rich query language** – Kombinieren Sie Text-, Phrase‑ und Feldabfragen mit AND/OR/NOT‑Operatoren.
+- **Scalable performance** – indiziert Millionen von Dokumenten bei gleichzeitig niedriger Suchlatenz.
+- **Pure Java** – keine nativen Abhängigkeiten, funktioniert auf jeder Plattform mit JDK 8+.
+
+## Voraussetzungen
+
+Bevor wir starten, stellen Sie sicher, dass Sie Folgendes haben:
+- **JDK 8 oder neuer** installiert und in Ihrer IDE konfiguriert.
+- **Maven** (oder Gradle) für das Abhängigkeitsmanagement.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Grundlegende Kenntnisse der Java‑OOP‑Konzepte und der Maven‑Projektstruktur.
+
+## Einrichtung von GroupDocs.Search für Java
+
+### Maven‑Setup
+Fügen Sie das Repository und die Abhängigkeit zu Ihrer `pom.xml`‑Datei hinzu:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Direkter Download
+Alternativ laden Sie das neueste JAR von der offiziellen Release‑Seite herunter:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Lizenzbeschaffung
+Um die volle Funktionalität freizuschalten:
+1. **Free trial** – ideal für Entwicklung und Tests.
+2. **Temporary evaluation license** – erweitert die Testlimits.
+3. **Commercial license** – entfernt alle Einschränkungen für den Produktionseinsatz.
+
+### Grundlegende Initialisierung und Einrichtung
+Das folgende Snippet zeigt, wie Sie **create a search index Java** durch Instanziierung der `Index`‑Klasse erstellen:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Mit dem bereitstehenden Index können wir zu realen facettierten und komplexen Abfragen übergehen.
+
+## Wie man search index java erstellt – einfache facettierte Suche
+
+Facettierte Suche ermöglicht End‑Benutzern, Ergebnisse zu verengen, indem sie Werte aus vordefinierten Kategorien (Facetten) auswählen. Im Folgenden ein Schritt‑für‑Schritt‑Durchlauf.
+
+### Schritt 1: Index erstellen
+Zuerst zeigen Sie den `Index` auf einen Ordner, in dem die Indexdateien gespeichert werden.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Schritt 2: Dokumente zum Index hinzufügen
+Teilen Sie GroupDocs.Search mit, wo Ihre Quelldokumente liegen. Alle unterstützten Dateitypen (PDF, DOCX, TXT usw.) werden automatisch indiziert.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Schritt 3: Suche im Inhaltsfeld mit einer Textabfrage durchführen
+Eine schnelle Textabfrage filtert nach dem Feld `content`. Die Syntax `content: Pellentesque` begrenzt die Ergebnisse auf Dokumente, die das Wort *Pellentesque* im Fließtext enthalten.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Schritt 4: Suche mit einer Objekt‑Abfrage durchführen
+Objektbasierte Abfragen bieten eine feinkörnige Kontrolle. Hier erstellen wir eine Wortabfrage, verpacken sie in eine Feldabfrage und führen sie aus.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Wie man search index java erstellt – komplexe Abfrage‑Suche
+
+Komplexe Abfragen kombinieren mehrere Felder, boolesche Operatoren und Phrasensuchen. Dies ist ideal für Szenarien wie E‑Commerce‑Filter oder juristische Dokumentenrecherche.
+
+### Schritt 1: Index für komplexe Abfragen erstellen
+Verwenden Sie dieselbe Ordnerstruktur erneut; Sie können den Index sowohl für einfache als auch komplexe Szenarien gemeinsam nutzen.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Schritt 2: Suche mit einer Textabfrage durchführen
+Die folgende Abfrage sucht nach Dateien mit dem Namen *lorem* **und** *ipsum* **oder** Inhalt, der eine von zwei genauen Phrasen enthält.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Schritt 3: Suche mit einer Objekt‑Abfrage durchführen
+Objektbasierte Konstruktion spiegelt die Textabfrage wider, bietet jedoch Typsicherheit und IDE‑Unterstützung.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Praktische Anwendungen facettierter & komplexer Suchen
+
+| Scenario | How Faceting Helps | Example Query |
+|----------|-------------------|---------------|
+| **E‑commerce catalog** | Nach Kategorie, Preis, Marke filtern | `category: Electronics AND price:[100 TO 500]` |
+| **Legal document repository** | Nach Aktenzeichen, Zuständigkeitsbereich eingrenzen | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Research archives** | Autor, Veröffentlichungsjahr, Schlüsselwörter kombinieren | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Enterprise intranet** | Nach Dateityp und Abteilung suchen | `filetype: pdf AND department: HR` |
+
+## Häufige Fallstricke & Fehlersuche
+- **Empty results** – Überprüfen Sie, ob die Dokumente erfolgreich hinzugefügt wurden (`index.getDocumentCount()` kann helfen).
+- **Stale index** – Nach dem Hinzufügen oder Entfernen von Dateien rufen Sie `index.update()` auf, um den Index zu synchronisieren.
+- **Incorrect field names** – Verwenden Sie die Konstanten `CommonFieldNames` (`Content`, `FileName` usw.), um Tippfehler zu vermeiden.
+- **Performance bottlenecks** – Bei riesigen Sammlungen sollten Sie `index.setCacheSize()` aktivieren oder eine dedizierte SSD für den Indexordner verwenden.
+
+## Häufig gestellte Fragen
+
+**Q: Can I use GroupDocs.Search with Spring Boot?**
+A: Absolut. Fügen Sie einfach die Maven‑Abhängigkeit hinzu, konfigurieren Sie den Index als Spring‑Bean und injizieren Sie ihn dort, wo er benötigt wird.
+
+**Q: Does the library support custom metadata fields?**
+A: Ja – Sie können benutzerdefinierte Felder beim Indexieren hinzufügen und anschließend darauf facettieren.
+
+**Q: How large can the index grow?**
+A: Der Index ist festplattenbasiert und kann Millionen von Dokumenten verarbeiten; stellen Sie lediglich ausreichenden Speicher sicher und überwachen Sie die Cache‑Einstellungen.
+
+**Q: Is there a way to rank results by relevance?**
+A: GroupDocs.Search bewertet Treffer automatisch; Sie können den Score über `SearchResult.getDocument(i).getScore()` abrufen.
+
+**Q: What happens if I index encrypted PDFs?**
+A: Geben Sie das Passwort beim Hinzufügen des Dokuments an: `index.add(filePath, password)`.
+
+## Fazit
+
+Bis jetzt sollten Sie sich sicher fühlen, **create a search index Java** mit GroupDocs.Search zu erstellen, Dokumente hinzuzufügen und sowohl einfache facettierte Abfragen als auch anspruchsvolle boolesche Suchen zu formulieren. Diese Fähigkeiten ermöglichen es Ihnen, schnelle, präzise und benutzerfreundliche Sucherlebnisse in einer Vielzahl von Anwendungen bereitzustellen – von E‑Commerce‑Plattformen bis hin zu Unternehmens‑Wissensdatenbanken.
+
+Bereit für den nächsten Schritt? Erkunden Sie die erweiterten Funktionen von **GroupDocs.Search**, wie **highlighting**, **suggestions** und **real‑time indexing**, um die Suchkraft Ihrer Anwendung weiter zu steigern.
+
+---
+
+**Zuletzt aktualisiert:** 2025-12-16
+**Getestet mit:** GroupDocs.Search 25.4 for Java
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/german/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/german/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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+---
+date: '2025-12-16'
+description: Erfahren Sie, wie Sie die Datumsspanne‑Suche und andere erweiterte Suchfunktionen
+ wie facettierte Suche in Java mit GroupDocs.Search für Java durchführen, einschließlich
+ Fehlerbehandlung und Leistungsoptimierung.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Datumsbereichssuche & erweiterte Funktionen'
+type: docs
+url: /de/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Meistern von GroupDocs.Search Java: Datumsspannen‑Suche & Erweiterte Funktionen
+
+In heutigen datengetriebenen Anwendungen ist **Datumsspannen‑Suche** eine Kernfunktion, die es Ihnen ermöglicht, Dokumente nach Zeiträumen zu filtern und so Relevanz und Geschwindigkeit dramatisch zu verbessern. Egal, ob Sie ein Compliance‑Portal, einen E‑Commerce‑Katalog oder ein Content‑Management‑System bauen – das Beherrschen von Datumsspannen‑Suche zusammen mit anderen leistungsstarken Abfragetypen macht Ihre Lösung flexibel und robust. Dieser Leitfaden führt Sie durch Fehlerbehandlung, eine vollständige Palette von Abfragetypen und Performance‑Tipps, alles mit realem Java‑Code, den Sie kopieren‑und‑einfügen können.
+
+## Schnelle Antworten
+- **Was ist Datumsspannen‑Suche?** Filterung von Dokumenten, die Daten innerhalb eines angegebenen Start‑bis‑End‑Intervalls enthalten.
+- **Welche Bibliothek stellt dies bereit?** GroupDocs.Search für Java.
+- **Benötige ich eine Lizenz?** Eine kostenlose Testversion funktioniert für die Entwicklung; für den kommerziellen Einsatz ist eine Produktionslizenz erforderlich.
+- **Kann ich sie mit anderen Abfragen kombinieren?** Ja – kombinieren Sie Datumsspannen mit booleschen, facettierten oder Regex‑Abfragen.
+- **Ist sie schnell für große Datensätze?** Bei korrekter Indizierung laufen Suchvorgänge in unter einer Sekunde, selbst bei Millionen von Datensätzen.
+
+## Was ist Datumsspannen‑Suche?
+Datumsspannen‑Suche ermöglicht es Ihnen, Dokumente zu finden, die Daten enthalten, die zwischen zwei Grenzen liegen, z. B. „2023‑01‑01 ~~ 2023‑12‑31“. Sie ist unverzichtbar für Berichte, Prüfprotokolle und jede Situation, in der zeitbasierte Filterung wichtig ist.
+
+## Warum GroupDocs.Search für Java verwenden?
+GroupDocs.Search bietet eine einheitliche API für viele Abfragetypen – einfach, Platzhalter, facettiert, numerisch, Datumsspanne, Regex, boolesch und Phrase – sodass Sie anspruchsvolle Sucherlebnisse erstellen können, ohne mehrere Bibliotheken zu jonglieren. Die ereignisgesteuerte Fehlerbehandlung sorgt zudem dafür, dass Ihre Indexierungspipeline robust bleibt.
+
+## Voraussetzungen
+- **GroupDocs.Search Java Bibliothek** (v25.4 oder neuer).
+- **Java Development Kit (JDK)**, das mit Ihrem Projekt kompatibel ist.
+- Maven für das Abhängigkeitsmanagement (oder manueller Download).
+
+### Erforderliche Bibliotheken und Umgebungseinrichtung
+Fügen Sie das GroupDocs-Repository und die Abhängigkeit zu Ihrer `pom.xml` hinzu:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Alternative Einrichtung
+Für direkte Downloads besuchen Sie [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Lizenzierung und Ersteinrichtung
+Starten Sie mit einer kostenlosen Testversion oder einer temporären Lizenz:
+
+- Besuchen Sie [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) für Details.
+
+Jetzt erstellen wir den Indexordner, der Ihre durchsuchbaren Daten enthält.
+
+## Einrichtung von GroupDocs.Search für Java
+
+### Grundlegende Initialisierung
+Zuerst instanziieren Sie ein `Index`‑Objekt, das auf einen Ordner auf der Festplatte verweist:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Sie haben nun ein Gateway zu allen Suchvorgängen.
+
+## Implementierungs‑Leitfaden
+
+### Feature 1: Fehlerbehandlung beim Indexieren
+#### Wie man Indexierungsfehler erfasst (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Warum das wichtig ist*: Durch das Abhören von `ErrorOccurred` können Sie Probleme protokollieren, fehlgeschlagene Dateien erneut versuchen oder Benutzer benachrichtigen, ohne den gesamten Prozess zum Absturz zu bringen.
+
+### Feature 2: Einfache Suchabfrage
+#### Was ist eine einfache Suche?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Ergebnis*: Gibt jedes Dokument zurück, das den Begriff **volutpat** enthält.
+
+### Feature 3: Platzhalter‑Suchabfrage
+#### Wie funktioniert die Platzhalter‑Suche?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Ergebnis*: Trifft sowohl **affect** als auch **effect**, was die Leistungsfähigkeit des `?`‑Platzhalters zeigt.
+
+### Feature 4: Facettierte Suchabfrage
+#### Wie man facettierte Suche in Java durchführt
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Ergebnis*: Beschränkt die Suche auf das Feld **Content**, ideal zum Filtern nach Metadaten wie Kategorie oder Autor.
+
+### Feature 5: Numerische Bereichssuche
+#### Wie man numerische Bereiche durchsucht
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Ergebnis*: Ruft Dokumente ab, bei denen numerische Werte zwischen 2000 und 3000 liegen.
+
+### Feature 6: Datumsspannen‑Suchabfrage
+#### Wie man eine Datumsspannen‑Suche ausführt
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Erklärung*: Durch Anpassen von `SearchOptions` teilen Sie der Engine mit, Daten im Format **MM/DD/YYYY** zu erkennen, und rufen dann alle Datensätze zwischen dem 1. Januar 2000 und dem 15. Juni 2001 ab.
+
+### Feature 7: Reguläre‑Ausdruck‑Suchabfrage
+#### Wie man eine Regex‑Suche in Java ausführt
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Ergebnis*: Findet Sequenzen von drei oder mehr identischen Zeichen (z. B. „aaa“, „111“).
+
+### Feature 8: Boolesche Suchabfrage
+#### Wie man Bedingungen mit einer booleschen Suche in Java kombiniert
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Ergebnis*: Gibt Dokumente zurück, die **justo** enthalten, schließt jedoch alle aus, die ebenfalls **3456** enthalten.
+
+### Feature 9: Komplexe boolesche Suchabfrage
+#### Wie man erweiterte boolesche Abfragen erstellt
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Ergebnis*: Sucht nach Dateinamen, die „English“ ähneln (mit 1‑3 Zeichen‑Variationen) **oder** nach Inhalt, der sowohl **3456** als auch **consequat** enthält.
+
+### Feature 10: Phrase‑Suchabfrage
+#### Wie man exakte Phrasen sucht
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Ergebnis*: Gibt nur Dokumente zurück, die die exakte Phrase **ipsum dolor sit amet** enthalten.
+
+## Praktische Anwendungen
+1. **E‑Commerce‑Plattformen** – Verwenden Sie facettierte Suche in Java, um Produkte nach Größe, Farbe und Marke zu filtern.
+2. **Content‑Management‑Systeme** – Kombinieren Sie boolesche Suche in Java mit Phrase‑Suche, um anspruchsvolle Redaktionswerkzeuge zu ermöglichen.
+3. **Datenanalyse‑Tools** – Nutzen Sie Datumsspannen‑Suche, um zeitbasierte Berichte und Dashboards zu erstellen.
+
+## Häufige Probleme & Lösungen
+- **Keine Ergebnisse für Datumsspannen‑Suche** – Stellen Sie sicher, dass das Datumsformat in Ihren Dokumenten dem benutzerdefinierten `DateFormat` entspricht, das Sie hinzugefügt haben.
+- **Regex‑Abfragen liefern zu viele Treffer** – Verfeinern Sie das Muster oder begrenzen Sie den Suchbereich mit zusätzlichen Feldqualifikatoren.
+- **Indexierungsfehler werden nicht erfasst** – Stellen Sie sicher, dass der Ereignishandler **vor** dem Aufruf von `index.add(...)` angehängt wird.
+
+## Häufig gestellte Fragen
+
+**F: Kann ich Datumsspannen‑Suche mit anderen Abfragetypen kombinieren?**
+A: Absolut. Sie können eine Datumsspannen‑Klausel mit booleschen Operatoren, facettierten Filtern oder Regex‑Mustern in einem einzigen Abfrage‑String kombinieren.
+
+**F: Muss ich den Index neu aufbauen, nachdem ich Datumsformate geändert habe?**
+A: Ja. Der Index speichert tokenisierte Terme; das alleinige Aktualisieren von `SearchOptions` wird vorhandene Daten nicht neu tokenisieren. Indexieren Sie die Dokumente nach einer Formatänderung erneut.
+
+**F: Wie geht GroupDocs.Search mit großen Indizes um?**
+A: Es verwendet inkrementelle Indexierung und On‑Disk‑Speicherung, sodass Sie auf Millionen von Dokumenten skalieren können, während der Speicherverbrauch gering bleibt.
+
+**F: Gibt es ein Limit für die Anzahl von Platzhalter‑Zeichen?**
+A: Platzhalter werden effizient verarbeitet, aber die Verwendung vieler führender Platzhalter (z. B. `*term`) kann die Leistung beeinträchtigen. Bevorzugen Sie Präfix‑ oder Suffix‑Platzhalter.
+
+**F: Welches Lizenzmodell wird für die Produktion empfohlen?**
+A: Eine unbefristete oder Abonnement‑Lizenz von GroupDocs stellt sicher, dass Sie Updates, Support und die Möglichkeit erhalten, ohne Testbeschränkungen zu deployen.
+
+## Fazit
+Durch das Beherrschen der **Datumsspannen‑Suche** und der gesamten Palette fortschrittlicher Abfragetypen, die GroupDocs.Search für Java bietet, können Sie hochreaktive, funktionsreiche Sucherlebnisse erstellen. Implementieren Sie eine robuste Fehlerbehandlung, optimieren Sie Ihren Index und kombinieren Sie Abfragen, um praktisch jedes Abruf‑Szenario zu erfüllen. Beginnen Sie noch heute zu experimentieren und steigern Sie die Datenzugriffsfähigkeiten Ihrer Anwendung.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 (Java)
+**Author:** GroupDocs
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Εξερευνήστε τη συλλογή εκπαιδευτικών υλικών GroupDocs.Search για προγραμματιστές
+ .NET και Java. Κατακτήστε την ευρετηρίαση εγγράφων, τις δυνατότητες αναζήτησης και
+ τις προχωρημένες λειτουργίες με ευκολία.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: Οδηγός GroupDocs.Search – Απελευθερώστε τη Δύναμη Αναζήτησης Εγγράφων
+type: docs
+url: /el/
+weight: 11
+---
+
+# GroupDocs.Search Tutorial – Απελευθερώστε τη Δύναμη Αναζήτησης Εγγράφων
+
+Καλώς ήρθατε στο κέντρο **GroupDocs.Search tutorial**, τον μοναδικό προορισμό σας για την εξειδίκευση στην αναζήτηση εγγράφων και την ευρετηρίαση σε πλατφόρμες .NET και Java. Είτε δημιουργείτε ένα μικρό εσωτερικό εργαλείο είτε μια μεγάλης κλίμακας επιχειρηματική λύση, αυτά τα βήμα‑βήμα οδηγούς θα σας βοηθήσουν να υλοποιήσετε γρήγορη, ακριβή και επεκτάσιμη λειτουργία αναζήτησης. Θα μάθετε τα πάντα, από τη βασική ευρετηρίαση μέχρι την εξελιγμένη δημιουργία ερωτημάτων, αξιοποιώντας τη πλήρη δύναμη του GroupDocs.Search.
+
+## Γιατί να Χρησιμοποιήσετε το GroupDocs.Search Tutorial;
+
+Η σειρά των σεμιναρίων έχει σχεδιαστεί με βάση πραγματικά σενάρια, ώστε να μπορείτε γρήγορα να εφαρμόζετε ό,τι μάθετε στα έργα σας. Ακολουθώντας αυτούς τους οδηγούς θα:
+
+- Αποκτήσετε μια σταθερή κατανόηση των τεχνικών **document indexing**.
+- Μάθετε πώς να δημιουργείτε αποδοτικές **search capabilities** που διαχειρίζονται μεγάλες συλλογές εγγράφων.
+- Εξερευνήσετε προχωρημένα χαρακτηριστικά όπως fuzzy search, highlighting και distributed search networks.
+- Μειώσετε το χρόνο ανάπτυξης με σαφείς, παραδειγματικές οδηγίες για περιβάλλοντα .NET και Java.
+
+{{% alert color="primary" %}}
+Εξερευνήστε τις ισχυρές δυνατότητες αναζήτησης εγγράφων σε .NET με τα tutorials του GroupDocs.Search. Από τη βασική ευρετηρίαση μέχρι τις προχωρημένες τεχνικές αναζήτησης, τα tutorials μας προσφέρουν ολοκληρωμένη καθοδήγηση για προγραμματιστές όλων των επιπέδων. Βυθιστείτε σε διάφορα θέματα όπως boolean search, fuzzy search, highlighting, διαχείριση λεξικών και λύσεις διανεμημένης αναζήτησης, απελευθερώνοντας το πλήρες δυναμικό του GroupDocs.Search για .NET. Αναβαθμίστε τη λειτουργία αναζήτησης της εφαρμογής σας και βελτιώστε την ανακάλυψη εγγράφων με τα εύκολα στην υλοποίηση tutorials μας.
+{{% /alert %}}
+
+## GroupDocs.Search για .NET Tutorials
+
+### Απαραίτητα .NET Search Tutorials
+
+- [Ευρετηρίαση](./net/indexing/)
+- [Αναζήτηση](./net/searching/)
+- [Επισήμανση](./net/highlighting/)
+- [Λεξικά & Επεξεργασία Γλώσσας](./net/dictionaries-language-processing/)
+- [Διαχείριση Εγγράφων](./net/document-management/)
+- [OCR & Αναζήτηση Εικόνων](./net/ocr-image-search/)
+- [Προχωρημένα Χαρακτηριστικά](./net/advanced-features/)
+- [Δίκτυο Αναζήτησης](./net/search-network/)
+- [Βελτιστοποίηση Απόδοσης](./net/performance-optimization/)
+- [Διαχείριση Εξαίρεσεων & Καταγραφή](./net/exception-handling-logging/)
+- [Ενσωμάτωση & Διαλειτουργικότητα](./net/integration-interoperability/)
+- [Αδειοδότηση & Διαμόρφωση](./net/licensing-configuration/)
+- [Εξαγωγή Κειμένου & Επεξεργασία](./net/text-extraction-processing/)
+- [Ερωτήματα & Δημιουργία Ερωτημάτων](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Ανακαλύψτε ολοκληρωμένα tutorials για το GroupDocs.Search σε Java. Από τις βασικές τεχνικές ευρετηρίασης μέχρι τις προχωρημένες λειτουργίες αναζήτησης, οι βήμα‑βήμα οδηγίες μας παρέχουν στους προγραμματιστές Java τη γνώση για την υλοποίηση ισχυρών λύσεων αναζήτησης εγγράφων. Μάθετε να εργάζεστε με διάφορες μορφές εγγράφων, συμπεριλαμβανομένων PDF, Word, Excel, παρουσιάσεων και άλλων. Κατακτήχνικές δημιουργίας ευρετηρίων, εκτέλεσης διαφορετικών τύπων αναζήτησης, επισήμανσης αποτελεσμάτων και βελτιστοποίησης απόδοσης για να ενισχύσετε τις Java εφαρμογές σας με αξιόπιστες δυνατότητες αναζήτησης.
+{{% /alert %}}
+
+## GroupDocs.Search για Java Tutorials
+
+### Απαραίτητα Java Search Tutorials
+
+- [Ξεκινώντας](./java/getting-started/)
+- [Ευρετηρίαση](./java/indexing/)
+- [Αναζήτηση](./java/searching/)
+- [Επισήμανση](./java/highlighting/)
+- [Λεξικά & Επεξεργασία Γλώσσας](./java/dictionaries-language-processing/)
+- [Διαχείριση Εγγράφων](./java/document-management/)
+- [OCR & Αναζήτηση Εικόνων](./java/ocr-image-search/)
+- [Προχωρημένα Χαρακτηριστικά](./java/advanced-features/)
+- [Δίκτυο Αναζήτησης](./java/search-network/)
+- [Βελτιστοποίηση Απόδοσης](./java/performance-optimization/)
+- [Διαχείριση Εξαίρεσεων & Καταγραφή](./java/exception-handling-logging/)
+- [Αδειοδότηση & Διαμόρφωση](./java/licensing-configuration/)
+- [Εξαγωγή Κειμένου & Επεξεργασία](./java/text-extraction-processing/)
+
+---
+
+**Τελευταία Ενημέρωση:** 2025-12-16
+**Συγγραφέας:** GroupDocs
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diff --git a/content/greek/java/advanced-features/_index.md b/content/greek/java/advanced-features/_index.md
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+---
+date: 2025-12-16
+description: Μάθετε πώς να δημιουργήσετε ευρετήριο αναζήτησης και να εφαρμόσετε εύρος
+ ημερομηνιών, αναζήτηση με πτυχές και φιλτράρισμα εγγράφων με τα μαθήματα Java του
+ GroupDocs.Search.
+title: 'Δημιουργία Δείκτη Αναζήτησης - Οδηγοί Java του GroupDocs.Search'
+type: docs
+url: /el/java/advanced-features/
+weight: 8
+---
+
+# Δημιουργία Δείκτη Αναζήτησης: GroupDocs.Search Java Tutorials
+
+Καλώς ήρθατε στο κέντρο για **δημιουργία δείκτη αναζήτησης** και την αξιοποίηση προηγμένων δυνατοτήτων αναζήτησης με το GroupDocs.Search for Java. Είτε θέλετε να **εφαρμόσετε ερωτήματα εύρους ημερομηνιών**, να εφαρμόσετε **φίλτρο κατά επέκταση αρχείου Java**, είτε να δημιουργήσετε **σύνθετες αναζητήσεις Java** λύσεις, αυτά τα tutorials σας παρέχουν καθοδήγηση βήμα‑βήμα, παραδείγματα από τον πραγματικό κόσμο, και έτοιμο κώδικα. Στο τέλος αυτού του οδηγού θα κατανοήσετε πώς να σχεδιάσετε ισχυρές εμπειρίες αναζήτησης που κλιμακώνονται με μεγάλες συλλογές εγγράφων.
+
+## Πώς να δημιουργήσετε δείκτη αναζήτησης με το GroupDocs.Search Java;
+
+Η δημιουργία ενός στιβαρού δείκτη αναζήτησης είναι η βάση για οποιοδήποτε εξελιγμένο χαρακτηριστικό αναζήτησης. Στα παρακάτω tutorials θα δείτε πώς να:
+
+* Ρυθμίσετε έναν δείκτη και να προσθέσετε έγγραφα αποδοτικά.
+* Χρησιμοποιήσετε μεταδεδομένα και χαρακτηριστικά για να εμπλουτίσετε τα αποτελέσματα αναζήτησης.
+* Εφαρμόσετε φίλτρα όπως **document filtering java** και **file extension filtering java** για να περιορίσετε τα αποτελέσματα.
+* Εκτελέσετε ερωτήματα **complex search java** που συνδυάζουν πολλαπλά κριτήρια, συμπεριλαμβανομένων περιορισμών **implement date range**.
+
+## Διαθέσιμα Tutorials
+
+### [Chunk-Based Document Search in Java: A Comprehensive Guide Using GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Αναζήτηση Εγγράφων με Βάση Τεμαχίων σε Java: Ένας Πλήρης Οδηγός Χρήσης του GroupDocs.Search
+
+### [Faceted and Complex Searches in Java: Master GroupDocs.Search for Advanced Features](./faceted-complex-search-groupdocs-java/)
+Διαιρετικές και Σύνθετες Αναζητήσεις σε Java: Κατακτήστε το GroupDocs.Search για Προηγμένα Χαρακτηριστικά
+
+### [Implement GroupDocs.Search Java: Comprehensive Indexing and Reporting Guide](./groupdocs-search-java-index-report-guide/)
+Εφαρμογή GroupDocs.Search Java: Πλήρης Οδηγός Ευρετηρίασης και Αναφοράς
+
+### [Master Date Range Searches in Java with GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Κατακτήστε τις Αναζητήσεις Εύρους Ημερομηνιών σε Java με το GroupDocs.Search
+
+### [Master GroupDocs.Search Java: Advanced Search Features for Efficient Data Retrieval](./groupdocs-search-java-advanced-search-features/)
+Κατακτήστε το GroupDocs.Search Java: Προηγμένα Χαρακτηριστικά Αναζήτησης για Αποδοτική Ανάκτηση Δεδομένων
+
+### [Master Java File Filtering Using GroupDocs.Search: A Step‑By‑Step Guide](./master-java-file-filtering-groupdocs-search/)
+Κατακτήστε το Φίλτρο Αρχείων Java Χρησιμοποιώντας το GroupDocs.Search: Οδηγός Βήμα‑Βήμα
+
+### [Mastering GroupDocs.Search for Java: Your Complete Guide to Document Indexing and Search](./groupdocs-search-java-implementation-guide/)
+Κατακτώντας το GroupDocs.Search για Java: Ο Πλήρης Οδηγός σας για Ευρετηρίαση Εγγράφων και Αναζήτηση
+
+## Πρόσθετοι Πόροι
+
+- [Τεκμηρίωση GroupDocs.Search για Java](https://docs.groupdocs.com/search/java/)
+- [Αναφορά API GroupDocs.Search για Java](https://reference.groupdocs.com/search/java/)
+- [Λήψη GroupDocs.Search για Java](https://releases.groupdocs.com/search/java/)
+- [Φόρουμ GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [Δωρεάν Υποστήριξη](https://forum.groupdocs.com/)
+- [Προσωρινή Άδεια](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Τελευταία Ενημέρωση:** 2025-12-16
+**Συγγραφέας:** GroupDocs
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+---
+date: '2025-12-16'
+description: Μάθετε πώς να δημιουργήσετε ευρετήριο αναζήτησης Java και να υλοποιήσετε
+ πλευρικές και σύνθετες αναζητήσεις χρησιμοποιώντας το GroupDocs.Search, ενισχύοντας
+ την απόδοση της αναζήτησης και την εμπειρία του χρήστη.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Δημιουργία Δείκτη Αναζήτησης Java – Πολυδιάστατες & Πολύπλοκες Αναζητήσεις
+type: docs
+url: /el/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Δημιουργία Δείκτη Αναζήτησης Java – Φασετοποιημένες & Σύνθετες Αναζητήσεις
+
+Η υλοποίηση μιας ισχυρής **εμπειρίας αναζήτησης** σε Java μπορεί να φαίνεται δύσκολη, ειδικά όταν πρέπει να **create search index Java** έργα που διαχειρίζονται μεγάλες συλλογές εγγράφων. Ευτυχώς, το **GroupDocs.Search for Java** παρέχει ένα πλούσιο API που σας επιτρέπει να δημιουργείτε φασετοποιημένα και πολύπλοκα ερωτήματα με λίγες μόνο γραμμές κώδικα. Σε αυτό το tutorial θα ανακαλύψετε πώς να ρυθμίσετε τη βιβλιοθήκη, **create a search index Java**, να προσθέσετε έγγραφα και να εκτελέσετε τόσο απλές φασετοποιημένες αναζητήσεις όσο και σύνθετα ερωτήματα πολλαπλών κριτηρίων.
+
+## Γρήγορες Απαντήσεις
+- **What is a faceted search?** Ένας τρόπος φιλτραρίσματος των αποτελεσμάτων με προ‑ορισμένες κατηγορίες (π.χ., τύπος αρχείου, ημερομηνία).
+- **How do I create a search index Java?** Αρχικοποιήστε ένα αντικείμενο `Index` που δείχνει σε έναν φάκελο και προσθέστε έγγραφα.
+- **Can I combine multiple criteria?** Ναι—χρησιμοποιήστε ερωτήματα βασισμένα σε αντικείμενα ή λογικούς τελεστές Boolean σε ένα ερώτημα κειμένου.
+- **Do I need a license?** Μια δωρεάν δοκιμή λειτουργεί για ανάπτυξη· μια εμπορική άδεια αφαιρεί τους περιορισμούς.
+- **Which IDE works best?** Οποιοδήποτε Java IDE (IntelliJ IDEA, Eclipse, NetBeans) λειτουργεί καλά.
+
+## Τι είναι το “create search index java”;
+Η δημιουργία ενός δείκτη αναζήτησης σε Java σημαίνει την κατασκευή μιας δομής δεδομένων αναζητήσιμης που αποθηκεύει μεταδεδομένα και περιεχόμενο εγγράφων, επιτρέποντας γρήγορη ανάκτηση βάσει ερωτημάτων χρήστη. Με το GroupDocs.Search, ο δείκτης αποθηκεύεται στο δίσκο, μπορεί να ενημερώνεται σταδιακά και υποστηρίζει προηγμένες λειτουργίες όπως φασετοποίηση και σύνθετη λογική Boolean.
+
+## Γιατί να χρησιμοποιήσετε το GroupDocs.Search για φασετοποιημένα και σύνθετα ερωτήματα;
+- **Out‑of‑the‑box faceting** – φιλτράρισμα βάσει πεδίων όπως όνομα αρχείου, μέγεθος ή προσαρμοσμένα μεταδεδομένα.
+- **Rich query language** – συνδυάστε ερωτήματα κειμένου, φράσης και πεδίου χρησιμοποιώντας τελεστές AND/OR/NOT.
+- **Scalable performance** – δημιουργεί δείκτες για εκατομμύρια έγγραφα διατηρώντας χαμηλή καθυστέρηση αναζήτησης.
+- **Pure Java** – χωρίς εγγενείς εξαρτήσεις, λειτουργεί σε οποιαδήποτε πλατφόρμα που τρέχει JDK 8+.
+
+## Προαπαιτούμενα
+
+Πριν ξεκινήσουμε, βεβαιωθείτε ότι έχετε τα εξής:
+
+- **JDK 8 or newer** εγκατεστημένο και ρυθμισμένο στο IDE σας.
+- **Maven** (ή Gradle) για διαχείριση εξαρτήσεων.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Βασική εξοικείωση με τις έννοιες OOP της Java και τη δομή έργου Maven.
+
+## Ρύθμιση του GroupDocs.Search για Java
+
+### Ρύθμιση Maven
+Προσθέστε το αποθετήριο και την εξάρτηση στο αρχείο `pom.xml` σας:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Άμεση Λήψη
+Εναλλακτικά, κατεβάστε το πιο πρόσφατο JAR από τη σελίδα επίσημων εκδόσεων:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Απόκτηση Άδειας
+Για να ξεκλειδώσετε τη πλήρη λειτουργικότητα:
+
+1. **Free trial** – ιδανική για ανάπτυξη και δοκιμές.
+2. **Temporary evaluation license** – επεκτείνει τους περιορισμούς της δοκιμής.
+3. **Commercial license** – αφαιρεί όλους τους περιορισμούς για παραγωγική χρήση.
+
+### Βασική Αρχικοποίηση και Ρύθμιση
+Το παρακάτω απόσπασμα δείχνει πώς να **create a search index Java** δημιουργώντας μια παρουσία της κλάσης `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Με τον δείκτη έτοιμο, μπορούμε να προχωρήσουμε σε πραγματικές φασετοποιημένες και σύνθετες ερωτήσεις.
+
+## Πώς να create search index java – Απλή Φασετοποιημένη Αναζήτηση
+
+Η φασετοποιημένη αναζήτηση επιτρέπει στους τελικούς χρήστες να περιορίζουν τα αποτελέσματα επιλέγοντας τιμές από προ‑ορισμένες κατηγορίες (facets). Παρακάτω ακολουθεί ένας βήμα‑βήμα οδηγός.
+
+### Βήμα 1: Δημιουργία Δείκτη
+Αρχικά, κατευθύνετε το `Index` σε έναν φάκελο όπου θα αποθηκευτούν τα αρχεία του δείκτη.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Βήμα 2: Προσθήκη Εγγράφων στον Δείκτη
+Ενημερώστε το GroupDocs.Search πού βρίσκονται τα πηγαία σας έγγραφα. Όλοι οι υποστηριζόμενοι τύποι αρχείων (PDF, DOCX, TXT, κ.λπ.) θα ευρετηριαστούν αυτόματα.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Βήμα 3: Εκτέλεση Αναζήτησης στο Πεδίο Content με Ερώτημα Κειμένου
+Ένα γρήγορο ερώτημα κειμένου φιλτράρει βάσει του πεδίου `content`. Η σύνταξη `content: Pellentesque` περιορίζει τα αποτελέσματα σε έγγραφα που περιέχουν τη λέξη *Pellentesque* στο κυρίως κείμενο.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Βήμα 4: Εκτέλεση Αναζήτησης Χρησιμοποιώντας Object Query
+Τα ερωτήματα βασισμένα σε αντικείμενα σας δίνουν λεπτομερή έλεγχο. Εδώ δημιουργούμε ένα ερώτημα λέξης, το ενσωματώνουμε σε ερώτημα πεδίου και το εκτελούμε.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Πώς να create search index java – Σύνθετη Αναζήτηση Ερωτημάτων
+
+Τα σύνθετα ερωτήματα συνδυάζουν πολλαπλά πεδία, λογικούς τελεστές Boolean και αναζητήσεις φράσεων. Αυτό είναι ιδανικό για σενάρια όπως φίλτρα e‑commerce ή έρευνα νομικών εγγράφων.
+
+### Βήμα 1: Δημιουργία Δείκτη για Σύνθετα Ερωτήματα
+Ξαναχρησιμοποιήστε την ίδια δομή φακέλων· μπορείτε να μοιραστείτε τον δείκτη μεταξύ απλών και σύνθετων σεναρίων.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Βήμα 2: Εκτέλεση Αναζήτησης με Ερώτημα Κειμένου
+Το παρακάτω ερώτημα αναζητά αρχεία με όνομα *lorem* **και** *ipsum* **ή** περιεχόμενο που περιέχει μία από τις δύο ακριβείς φράσεις.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Βήμα 3: Εκτέλεση Αναζήτησης με Object Query
+Η κατασκευή βασισμένη σε αντικείμενα αντικατοπτρίζει το κειμενικό ερώτημα αλλά προσφέρει ασφάλεια τύπου και βοήθεια από το IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Πρακτικές Εφαρμογές Φασετοποιημένων & Σύνθετων Αναζητήσεων
+
+| Σενάριο | Πώς Βοηθά η Φασετοποίηση | Παράδειγμα Ερωτήματος |
+|----------|-------------------|---------------|
+| **Κατάλογος E‑commerce** | Φιλτράρισμα κατά κατηγορία, τιμή, μάρκα | `category: Electronics AND price:[100 TO 500]` |
+| **Αποθετήριο νομικών εγγράφων** | Περιορισμός βάσει αριθμού υπόθεσης, δικαιοδοσίας | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Αρχεία έρευνας** | Συνδυασμός συγγραφέα, έτους δημοσίευσης, λέξεων-κλειδιών | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Εταιρικό εσωτερικό δίκτυο** | Αναζήτηση βάσει τύπου αρχείου και τμήματος | `filetype: pdf AND department: HR` |
+
+## Συνηθισμένα Πιθανά Σφάλματα & Αντιμετώπιση Προβλημάτων
+- **Empty results** – Επαληθεύστε ότι τα έγγραφα προστέθηκαν επιτυχώς (`index.getDocumentCount()` μπορεί να βοηθήσει).
+- **Stale index** – Μετά την προσθήκη ή αφαίρεση αρχείων, καλέστε `index.update()` για να διατηρήσετε τον δείκτη συγχρονισμένο.
+- **Incorrect field names** – Χρησιμοποιήστε τις σταθερές `CommonFieldNames` (`Content`, `FileName`, κ.λπ.) για να αποφύγετε τυπογραφικά λάθη.
+- **Performance bottlenecks** – Για τεράστιες συλλογές, εξετάστε την ενεργοποίηση του `index.setCacheSize()` ή τη χρήση αποκλειστικού SSD για το φάκελο του δείκτη.
+
+## Συχνές Ερωτήσεις
+
+**Q: Can I use GroupDocs.Search with Spring Boot?**
+A: Απολύτως. Απλώς προσθέστε την εξάρτηση Maven, διαμορφώστε τον δείκτη ως Spring bean και ενσωματώστε το όπου χρειάζεται.
+
+**Q: Does the library support custom metadata fields?**
+A: Ναι – μπορείτε να προσθέσετε πεδία ορισμένα από τον χρήστη κατά την ευρετηρίαση και στη συνέχεια να κάνετε φασετοποίηση πάνω τους.
+
+**Q: How large can the index grow?**
+A: Ο δείκτης είναι βασισμένος σε δίσκο και μπορεί να διαχειριστεί εκατομμύρια έγγραφα· απλώς εξασφαλίστε επαρκή αποθηκευτικό χώρο και παρακολουθήστε τις ρυθμίσεις cache.
+
+**Q: Is there a way to rank results by relevance?**
+A: Το GroupDocs.Search βαθμολογεί αυτόματα τα αποτελέσματα· μπορείτε να ανακτήσετε τη βαθμολογία μέσω `SearchResult.getDocument(i).getScore()`.
+
+**Q: What happens if I index encrypted PDFs?**
+A: Παρέχετε τον κωδικό πρόσβασης όταν προσθέτετε το έγγραφο: `index.add(filePath, password)`.
+
+## Συμπέρασμα
+
+Μέχρι τώρα θα πρέπει να αισθάνεστε άνετα **creating a search index Java** με το GroupDocs.Search, προσθέτοντας έγγραφα και δημιουργώντας τόσο απλά φασετοποιημένα ερωτήματα όσο και σύνθετες Boolean αναζητήσεις. Αυτές οι δυνατότητες σας επιτρέπουν να παρέχετε γρήγορες, ακριβείς και φιλικές προς τον χρήστη εμπειρίες αναζήτησης σε ένα ευρύ φάσμα εφαρμογών—από πλατφόρμες e‑commerce μέχρι εταιρικές βάσεις γνώσης.
+
+Έτοιμοι για το επόμενο βήμα; Εξερευνήστε τις προχωρημένες δυνατότητες του **GroupDocs.Search**, όπως **highlighting**, **suggestions**, και **real‑time indexing**, για να ενισχύσετε περαιτέρω τη δύναμη αναζήτησης της εφαρμογής σας.
+
+**Τελευταία Ενημέρωση:** 2025-12-16
+**Δοκιμάστηκε Με:** GroupDocs.Search 25.4 for Java
+**Συγγραφέας:** GroupDocs
\ No newline at end of file
diff --git a/content/greek/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/greek/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/greek/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
@@ -0,0 +1,248 @@
+---
+date: '2025-12-16'
+description: Μάθετε πώς να εκτελείτε αναζήτηση με εύρος ημερομηνιών και άλλα προηγμένα
+ χαρακτηριστικά αναζήτησης, όπως η φασέτα αναζήτηση σε Java, χρησιμοποιώντας το GroupDocs.Search
+ for Java, συμπεριλαμβανομένου του χειρισμού σφαλμάτων και της βελτιστοποίησης απόδοσης.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Αναζήτηση σε εύρος ημερομηνιών & Προηγμένα χαρακτηριστικά'
+type: docs
+url: /el/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Κατακτώντας το GroupDocs.Search Java: Αναζήτηση Εύρους Ημερομηνίας & Προηγμένες Λειτουργίες
+
+Στις σημερινές εφαρμογές που βασίζονται στα δεδομένα, η **date range search** είναι μια βασική δυνατότητα που σας επιτρέπει να φιλτράρετε έγγραφα ανά χρονικές περιόδους, βελτιώνοντας δραστικά τη σχετικότητα και την ταχύτητα. Είτε δημιουργείτε μια πύλη συμμόρφωσης, έναν κατάλογο e‑commerce ή ένα σύστημα διαχείρισης περιεχομένου, η κατάκτηση της date range search μαζί με άλλους ισχυρούς τύπους ερωτημάτων θα κάνει τη λύση σας ευέλικτη και ανθεκτική. Αυτός ο οδηγός σας καθοδηγεί μέσω του χειρισμού σφαλμάτων, μιας πλήρους σειράς τύπων ερωτημάτων και συμβουλών απόδοσης, όλα με πραγματικό κώδικα Java που μπορείτε να αντιγράψετε‑επικολλήσετε.
+
+## Γρήγορες Απαντήσεις
+- **Τι είναι η date range search?** Φιλτράρισμα εγγράφων που περιέχουν ημερομηνίες εντός ενός καθορισμένου διαστήματος έναρξης‑τέλους.
+- **Ποια βιβλιοθήκη το παρέχει;** GroupDocs.Search for Java.
+- **Χρειάζομαι άδεια;** Μια δωρεάν δοκιμή λειτουργεί για ανάπτυξη· απαιτείται άδεια παραγωγής για εμπορική χρήση.
+- **Μπορώ να το συνδυάσω με άλλα ερωτήματα;** Ναι—αναμείξτε date ranges με boolean, faceted ή regex ερωτήματα.
+- **Είναι γρήγορη για μεγάλα σύνολα δεδομένων;** Όταν έχει ευρετηριαστεί σωστά, οι αναζητήσεις εκτελούνται σε χρόνο κάτω του δευτερολέπτου ακόμη και σε εκατομμύρια εγγραφές.
+
+## Τι είναι η date range search;
+Η date range search σας επιτρέπει να εντοπίζετε έγγραφα που περιέχουν ημερομηνίες που πέφτουν μεταξύ δύο ορίων, όπως “2023‑01‑01 ~~ 2023‑12‑31”. Είναι απαραίτητη για αναφορές, αρχεία ελέγχου και οποιοδήποτε σενάριο όπου η φιλτράρισμα βάσει χρόνου έχει σημασία.
+
+## Γιατί να χρησιμοποιήσετε το GroupDocs.Search για Java;
+Το GroupDocs.Search προσφέρει ένα ενοποιημένο API για πολλούς τύπους ερωτημάτων—simple, wildcard, faceted, numeric, date range, regex, boolean και phrase—ώστε να μπορείτε να δημιουργήσετε εξελιγμένες εμπειρίες αναζήτησης χωρίς να διαχειρίζεστε πολλαπλές βιβλιοθήκες. Η διαχείριση σφαλμάτων με βάση τα γεγονότα διατηρεί επίσης την αλυσίδα ευρετηρίασής σας ανθεκτική.
+
+## Προαπαιτούμενα
+- **GroupDocs.Search Java library** (v25.4 ή νεότερη).
+- **Java Development Kit (JDK)** συμβατό με το έργο σας.
+- Maven για διαχείριση εξαρτήσεων (ή χειροκίνητη λήψη).
+
+### Απαιτούμενες Βιβλιοθήκες και Ρύθμιση Περιβάλλοντος
+Προσθέστε το αποθετήριο GroupDocs και την εξάρτηση στο `pom.xml` σας:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Εναλλακτική Ρύθμιση
+Για άμεσες λήψεις, επισκεφθείτε [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Αδειοδότηση και Αρχική Ρύθμιση
+Ξεκινήστε με μια δωρεάν δοκιμή ή μια προσωρινή άδεια:
+
+- Επισκεφθείτε [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) για λεπτομέρειες.
+
+Τώρα ας δημιουργήσουμε το φάκελο ευρετηρίου που θα περιέχει τα δεδομένα αναζήτησης σας.
+
+## Ρύθμιση του GroupDocs.Search για Java
+
+### Βασική Αρχικοποίηση
+Πρώτα, δημιουργήστε ένα αντικείμενο `Index` που δείχνει σε έναν φάκελο στο δίσκο:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Τώρα έχετε μια πύλη για όλες τις λειτουργίες αναζήτησης.
+
+## Οδηγός Υλοποίησης
+
+### Χαρακτηριστικό 1: Διαχείριση Σφαλμάτων στην Ευρετηρίαση
+#### Πώς να καταγράψετε σφάλματα ευρετηρίασης (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Γιατί είναι σημαντικό*: Ακούγοντας το `ErrorOccurred`, μπορείτε να καταγράψετε προβλήματα, να επαναλάβετε αποτυχημένα αρχεία ή να ειδοποιήσετε χρήστες χωρίς να καταρρεύσει όλη η διαδικασία.
+
+### Χαρακτηριστικό 2: Απλό Ερώτημα Αναζήτησης
+#### Τι είναι μια απλή αναζήτηση;
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Αποτέλεσμα*: Επιστρέφει κάθε έγγραφο που περιέχει τον όρο **volutpat**.
+
+### Χαρακτηριστικό 3: Ερώτημα Αναζήτησης με Μπαλαντέρ
+#### Πώς λειτουργεί η αναζήτηση με μπαλαντέρ;
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Αποτέλεσμα*: Συμφωνεί και με **affect** και με **effect**, δείχνοντας τη δύναμη του χαρακτήρα υποκατάστασης `?`.
+
+### Χαρακτηριστικό 4: Ερώτημα Faceted Αναζήτησης
+#### Πώς να εκτελέσετε faceted αναζήτηση Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Αποτέλεσμα*: Περιορίζει την αναζήτηση στο πεδίο **Content**, ιδανικό για φιλτράρισμα με βάση μεταδεδομένα όπως κατηγορία ή συγγραφέας.
+
+### Χαρακτηριστικό 5: Ερώτημα Αριθμητικού Εύρους
+#### Πώς να αναζητήσετε αριθμητικά εύρη
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Αποτέλεσμα*: Ανακτά έγγραφα όπου οι αριθμητικές τιμές βρίσκονται μεταξύ 2000 και 3000.
+
+### Χαρακτηριστικό 6: Ερώτημα Date Range Αναζήτησης
+#### Πώς να εκτελέσετε αναζήτηση date range
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Εξήγηση*: Προσαρμόζοντας το `SearchOptions`, λέτε στη μηχανή να αναγνωρίζει ημερομηνίες σε μορφή **MM/DD/YYYY**, και στη συνέχεια να ανακτά όλα τα αρχεία μεταξύ 1 Ιανουαρίου 2000 και 15 Ιουνίου 2001.
+
+### Χαρακτηριστικό 7: Ερώτημα Αναζήτησης με Κανονική Έκφραση
+#### Πώς να εκτελέσετε regex αναζήτηση Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Αποτέλεσμα*: Βρίσκει ακολουθίες τριών ή περισσότερων πανομοιότυπων χαρακτήρων (π.χ., “aaa”, “111”).
+
+### Χαρακτηριστικό 8: Boolean Ερώτημα Αναζήτησης
+#### Πώς να συνδυάσετε συνθήκες με boolean αναζήτηση Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Αποτέλεσμα*: Επιστρέφει έγγραφα που περιέχουν **justo** αλλά εξαιρούν όσα περιέχουν επίσης **3456**.
+
+### Χαρακτηριστικό 9: Πολύπλοκο Boolean Ερώτημα Αναζήτησης
+#### Πώς να δημιουργήσετε προχωρημένα boolean ερωτήματα
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Αποτέλεσμα*: Αναζητά ονόματα αρχείων παρόμοια με “English” (επιτρέποντας 1‑3 διαφοροποιήσεις χαρακτήρων) **ή** περιεχόμενο που περιέχει και **3456** και **consequat**.
+
+### Χαρακτηριστικό 10: Ερώτημα Φράσης
+#### Πώς να αναζητήσετε ακριβείς φράσεις
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Αποτέλεσμα*: Ανακτά μόνο έγγραφα που περιέχουν την ακριβή φράση **ipsum dolor sit amet**.
+
+## Πρακτικές Εφαρμογές
+1. **E‑commerce Platforms** – Χρησιμοποιήστε faceted search Java για φιλτράρισμα προϊόντων ανά μέγεθος, χρώμα και μάρκα.
+2. **Content Management Systems** – Συνδυάστε boolean search Java με phrase search για να ενισχύσετε εξελιγμένα εργαλεία επεξεργασίας.
+3. **Data Analysis Tools** – Εκμεταλλευτείτε τη date range search για τη δημιουργία αναφορών και πινάκων ελέγχου βάσει χρόνου.
+
+## Συνηθισμένα Προβλήματα & Λύσεις
+- **No results for date range search** – Επαληθεύστε ότι η μορφή ημερομηνίας στα έγγραφά σας ταιριάζει με το προσαρμοσμένο `DateFormat` που προσθέσατε.
+- **Regex queries return too many hits** – Βελτιώστε το μοτίβο ή περιορίστε το πεδίο αναζήτησης με πρόσθετους προσδιοριστές πεδίου.
+- **Indexing errors not captured** – Βεβαιωθείτε ότι ο χειριστής συμβάντων είναι προσαρτημένος **πριν** καλέσετε `index.add(...)`.
+
+## Συχνές Ερωτήσεις
+
+**Q: Μπορώ να συνδυάσω τη date range search με άλλους τύπους ερωτημάτων;**
+A: Απόλυτα. Μπορείτε να συνδυάσετε μια ρήτρα date range με boolean τελεστές, faceted φίλτρα ή regex μοτίβα σε μια ενιαία συμβολοσειρά ερωτήματος.
+
+**Q: Πρέπει να ξαναχτίσω το ευρετήριο μετά την αλλαγή των μορφών ημερομηνίας;**
+A: Ναι. Το ευρετήριο αποθηκεύει όρους που έχουν τοκενιστεί· η ενημέρωση του `SearchOptions` μόνη της δεν θα επανατοκενίσει τα υπάρχοντα δεδομένα. Επαναευρετηριάστε τα έγγραφα μετά την αλλαγή των μορφών.
+
+**Q: Πώς το GroupDocs.Search διαχειρίζεται μεγάλα ευρετήρια;**
+A: Χρησιμοποιεί επαναληπτική (incremental) ευρετηρίαση και αποθήκευση στον δίσκο, επιτρέποντας την κλιμάκωση σε εκατομμύρια έγγραφα ενώ διατηρεί τη χρήση μνήμης χαμηλή.
+
+**Q: Υπάρχει όριο στον αριθμό των χαρακτήρων μπαλαντέρ;**
+A: Τα μπαλαντέρ επεξεργάζονται αποδοτικά, αλλά η χρήση πολλών αρχικών μπαλαντέρ (π.χ., `*term`) μπορεί να μειώσει την απόδοση. Προτιμήστε μπαλαντέρ προθέματος ή επιθήματος.
+
+**Q: Ποιο μοντέλο αδειοδότησης συνιστάται για παραγωγή;**
+A: Μια δια βίου ή συνδρομητική άδεια από το GroupDocs εξασφαλίζει ότι λαμβάνετε ενημερώσεις, υποστήριξη και τη δυνατότητα ανάπτυξης χωρίς περιορισμούς δοκιμής.
+
+## Συμπέρασμα
+Με την κατάκτηση της **date range search** και της πλήρους σειράς προχωρημένων τύπων ερωτημάτων που προσφέρει το GroupDocs.Search για Java, μπορείτε να δημιουργήσετε εξαιρετικά ανταποκριτικές, πλούσιες σε δυνατότητες εμπειρίες αναζήτησης. Εφαρμόστε αξιόπιστη διαχείριση σφαλμάτων, βελτιστοποιήστε το ευρετήριό σας και συνδυάστε ερωτήματα για να καλύψετε σχεδόν κάθε σενάριο ανάκτησης. Ξεκινήστε να πειραματίζεστε σήμερα και ανεβάστε τις δυνατότητες πρόσβασης δεδομένων της εφαρμογής σας.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 (Java)
+**Author:** GroupDocs
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diff --git a/content/hindi/_index.md b/content/hindi/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/hindi/_index.md
@@ -0,0 +1,75 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: .NET और Java डेवलपर्स के लिए GroupDocs.Search ट्यूटोरियल संग्रह का अन्वेषण
+ करें। दस्तावेज़ इंडेक्सिंग, खोज क्षमताओं और उन्नत सुविधाओं में सहजता से निपुण बनें।
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: GroupDocs.Search ट्यूटोरियल – दस्तावेज़ खोज की शक्ति को अनलॉक करें
+type: docs
+url: /hi/
+weight: 11
+---
+
+# GroupDocs.Search ट्यूटोरियल – दस्तावेज़ खोज की शक्ति को अनलॉक करें
+
+Welcome to the **GroupDocs.Search tutorial** hub, your one‑stop destination for mastering document search and indexing across .NET and Java platforms. Whether you’re building a small internal tool or a large‑scale enterprise solution, these step‑by‑step guides will help you implement fast, accurate, and scalable search functionality. You’ll learn everything from basic indexing to sophisticated query building, all while leveraging the full power of GroupDocs.Search.
+
+## GroupDocs.Search ट्यूटोरियल क्यों उपयोग करें?
+
+The tutorial series is designed with real‑world scenarios in mind, so you can quickly apply what you learn to your projects. By following these guides you will:
+
+- **document indexing** तकनीकों की ठोस समझ प्राप्त करें।
+- बड़े दस्तावेज़ संग्रह को संभालने वाली **search capabilities** को कुशलता से बनाना सीखें।
+- fuzzy search, highlighting, और distributed search networks जैसी उन्नत सुविधाओं का अन्वेषण करें।
+- .NET और Java दोनों पर्यावरणों के लिए स्पष्ट, उदाहरण‑आधारित निर्देशों के साथ विकास समय घटाएँ।
+
+{{% alert color="primary" %}}
+Explore powerful document search capabilities in .NET with GroupDocs.Search tutorials. From basic indexing to advanced search techniques, our tutorials offer comprehensive guidance for developers at all skill levels. Dive into various topics such as boolean search, fuzzy search, highlighting, dictionary management, and distributed search solutions, unlocking the full potential of GroupDocs.Search for .NET. Elevate your application's search functionality and streamline document discovery with our easy‑to‑follow tutorials.
+{{% /alert %}}
+
+## GroupDocs.Search for .NET ट्यूटोरियल
+
+### Essential .NET Search ट्यूटोरियल
+
+- [Indexing](./net/indexing/)
+- [Searching](./net/searching/)
+- [Highlighting](./net/highlighting/)
+- [Dictionaries & Language Processing](./net/dictionaries-language-processing/)
+- [Document Management](./net/document-management/)
+- [OCR & Image Search](./net/ocr-image-search/)
+- [Advanced Features](./net/advanced-features/)
+- [Search Network](./net/search-network/)
+- [Performance Optimization](./net/performance-optimization/)
+- [Exception Handling & Logging](./net/exception-handling-logging/)
+- [Integration & Interoperability](./net/integration-interoperability/)
+- [Licensing & Configuration](./net/licensing-configuration/)
+- [Text Extraction & Processing](./net/text-extraction-processing/)
+- [Queries & Query Building](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Discover comprehensive tutorials for GroupDocs.Search in Java. From basic indexing techniques to advanced search functionality, our step‑by‑step guides provide Java developers with the knowledge to implement powerful document search solutions. Learn to work with various document formats including PDF, Word, Excel, presentations, and more. Master techniques for creating indexes, performing different search types, highlighting results, and optimizing performance to enhance your Java applications with robust search capabilities.
+{{% /alert %}}
+
+## GroupDocs.Search for Java ट्यूटोरियल
+
+### Essential Java Search ट्यूटोरियल
+
+- [Getting Started](./java/getting-started/)
+- [Indexing](./java/indexing/)
+- [Searching](./java/searching/)
+- [Highlighting](./java/highlighting/)
+- [Dictionaries & Language Processing](./java/dictionaries-language-processing/)
+- [Document Management](./java/document-management/)
+- [OCR & Image Search](./java/ocr-image-search/)
+- [Advanced Features](./java/advanced-features/)
+- [Search Network](./java/search-network/)
+- [Performance Optimization](./java/performance-optimization/)
+- [Exception Handling & Logging](./java/exception-handling-logging/)
+- [Licensing & Configuration](./java/licensing-configuration/)
+- [Text Extraction & Processing](./java/text-extraction-processing/)
+
+---
+
+**Last Updated:** 2025-12-16
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/hindi/java/advanced-features/_index.md b/content/hindi/java/advanced-features/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/hindi/java/advanced-features/_index.md
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+---
+date: 2025-12-16
+description: GroupDocs.Search Java ट्यूटोरियल्स के साथ सर्च इंडेक्स बनाना और डेट रेंज,
+ फेसटेड सर्च, तथा डॉक्यूमेंट फ़िल्टरिंग को लागू करना सीखें।
+title: 'सर्च इंडेक्स बनाएं - GroupDocs.Search जावा ट्यूटोरियल्स'
+type: docs
+url: /hi/java/advanced-features/
+weight: 8
+---
+
+# सर्च इंडेक्स बनाएं: GroupDocs.Search Java ट्यूटोरियल्स
+
+GroupDocs.Search for Java के साथ **सर्च इंडेक्स बनाना** और उन्नत सर्च क्षमताओं को अनलॉक करने के हब में आपका स्वागत है। चाहे आप **डेट रेंज लागू करना** क्वेरीज़, **फ़ाइल एक्सटेंशन फ़िल्टरिंग Java** लागू करना, या **कॉम्प्लेक्स सर्च Java** समाधान बनाना चाहते हों, ये ट्यूटोरियल्स आपको चरण‑दर‑चरण मार्गदर्शन, वास्तविक‑विश्व उदाहरण, और तैयार‑कोड प्रदान करते हैं। इस गाइड के अंत तक आप समझेंगे कि बड़े दस्तावेज़ संग्रह के साथ स्केलेबल शक्तिशाली सर्च अनुभव कैसे डिज़ाइन करें।
+
+## GroupDocs.Search Java के साथ सर्च इंडेक्स कैसे बनाएं?
+
+एक मजबूत सर्च इंडेक्स बनाना किसी भी परिष्कृत सर्च फीचर की नींव है। नीचे दिए गए ट्यूटोरियल्स में आप देखेंगे कि कैसे:
+
+* इंडेक्स सेट अप करें और दस्तावेज़ों को प्रभावी ढंग से जोड़ें।
+* मेटाडेटा और एट्रिब्यूट्स का उपयोग करके सर्च परिणामों को समृद्ध बनाएं।
+* फ़िल्टर लागू करें जैसे **document filtering java** और **file extension filtering java** ताकि परिणाम संकीर्ण हो सकें।
+* **complex search java** क्वेरी चलाएं जो कई मानदंडों को मिलाते हैं, जिसमें **implement date range** प्रतिबंध शामिल हैं।
+
+## उपलब्ध ट्यूटोरियल्स
+
+### [Chunk-Based Document Search in Java: GroupDocs.Search का व्यापक गाइड](./groupdocs-search-java-chunk-based-search-tutorial/)
+GroupDocs.Search for Java के साथ कुशल चंक-आधारित दस्तावेज़ खोज को लागू करना सीखें। उत्पादकता बढ़ाएँ और बड़े डेटा सेट को सहजता से प्रबंधित करें।
+
+### [Faceted and Complex Searches in Java: उन्नत फीचर्स के लिए GroupDocs.Search में महारत हासिल करें](./faceted-complex-search-groupdocs-java/)
+Java एप्लिकेशन में Faceted और Complex सर्च को लागू करना सीखें, GroupDocs.Search का उपयोग करके, जिससे सर्च कार्यक्षमता और उपयोगकर्ता अनुभव बेहतर हो।
+
+### [Implement GroupDocs.Search Java: व्यापक इंडेक्सिंग और रिपोर्टिंग गाइड](./groupdocs-search-java-index-report-guide/)
+GroupDocs.Search को Java में कुशल दस्तावेज़ इंडेक्सिंग और रिपोर्टिंग के लिए मास्टर करें। इस विस्तृत गाइड के साथ इंडेक्स बनाना, दस्तावेज़ जोड़ना, और रिपोर्ट जनरेट करना सीखें।
+
+### [Master Date Range Searches in Java with GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+GroupDocs.Search Java के लिए कोड ट्यूटोरियल
+
+### [Master GroupDocs.Search Java: कुशल डेटा पुनर्प्राप्ति के लिए उन्नत सर्च फीचर्स](./groupdocs-search-java-advanced-search-features/)
+GroupDocs.Search for Java में उन्नत सर्च फीचर्स को मास्टर करना सीखें, जिसमें एरर हैंडलिंग, विभिन्न क्वेरी प्रकार, और प्रदर्शन अनुकूलन शामिल हैं।
+
+### [Master Java File Filtering Using GroupDocs.Search: चरण‑दर‑चरण गाइड](./master-java-file-filtering-groupdocs-search/)
+GroupDocs.Search का उपयोग करके Java में फ़ाइलों को कुशलता से प्रबंधित और फ़िल्टर करना सीखें, जिसमें फ़ाइल एक्सटेंशन, लॉजिकल ऑपरेटर्स, और अधिक शामिल हैं।
+
+### [Mastering GroupDocs.Search for Java: दस्तावेज़ इंडेक्सिंग और सर्च के लिए आपका पूर्ण गाइड](./groupdocs-search-java-implementation-guide/)
+इस व्यापक गाइड के साथ Java में GroupDocs.Search को इम्प्लीमेंट करना सीखें। मजबूत टेक्स्ट एक्सट्रैक्शन, सीरियलाइज़ेशन, इंडेक्सिंग, और सर्च फीचर्स की खोज करें।
+
+## अतिरिक्त संसाधन
+
+- [GroupDocs.Search for Java दस्तावेज़ीकरण](https://docs.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java API रेफ़रेंस](https://reference.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java डाउनलोड करें](https://releases.groupdocs.com/search/java/)
+- [GroupDocs.Search फ़ोरम](https://forum.groupdocs.com/c/search)
+- [नि:शुल्क समर्थन](https://forum.groupdocs.com/)
+- [अस्थायी लाइसेंस](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**अंतिम अपडेट:** 2025-12-16
+**लेखक:** GroupDocs
\ No newline at end of file
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+---
+date: '2025-12-16'
+description: GroupDocs.Search का उपयोग करके जावा में सर्च इंडेक्स बनाना और फेशेटेड
+ तथा जटिल खोजों को लागू करना सीखें, जिससे खोज प्रदर्शन और उपयोगकर्ता अनुभव में सुधार
+ हो।
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: सर्च इंडेक्स जावा बनाएं – फ़ैसिटेड और जटिल खोजें
+type: docs
+url: /hi/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# खोज इंडेक्स जावा बनाएं – फेस्डेड और जटिल खोजें
+
+जावा में एक शक्तिशाली **search experience** लागू करना भारी लग सकता है, विशेष रूप से जब आपको बड़े दस्तावेज़ संग्रह को संभालने वाले **create search index Java** प्रोजेक्ट्स बनाने की आवश्यकता हो। सौभाग्य से, **GroupDocs.Search for Java** एक समृद्ध API प्रदान करता है जो आपको कुछ ही कोड लाइनों के साथ फेस्डेड और जटिल क्वेरीज़ बनाने देता है। इस ट्यूटोरियल में आप लाइब्रेरी सेटअप करना, **create a search index Java** बनाना, दस्तावेज़ जोड़ना, और सरल फेस्डेड खोजों तथा परिष्कृत मल्टी‑क्राइटेरिया क्वेरीज़ चलाना सीखेंगे।
+
+## त्वरित उत्तर
+- **What is a faceted search?** पूर्वनिर्धारित श्रेणियों (जैसे, फ़ाइल प्रकार, तिथि) द्वारा परिणामों को फ़िल्टर करने का तरीका।
+- **How do I create a search index Java?** एक फ़ोल्डर की ओर इशारा करने वाले `Index` ऑब्जेक्ट को इनिशियलाइज़ करें और दस्तावेज़ जोड़ें।
+- **Can I combine multiple criteria?** हाँ—ऑब्जेक्ट‑आधारित क्वेरीज़ या टेक्स्ट क्वेरी में Boolean ऑपरेटर्स का उपयोग करें।
+- **Do I need a license?** विकास के लिए एक फ्री ट्रायल काम करता है; एक कमर्शियल लाइसेंस सीमाओं को हटा देता है।
+- **Which IDE works best?** कोई भी Java IDE (IntelliJ IDEA, Eclipse, NetBeans) ठीक काम करता है।
+
+## “create search index java” क्या है?
+जावा में एक सर्च इंडेक्स बनाना एक सर्चेबल डेटा स्ट्रक्चर तैयार करना है जो दस्तावेज़ मेटाडेटा और सामग्री को संग्रहीत करता है, जिससे उपयोगकर्ता क्वेरीज़ के आधार पर तेज़ पुनर्प्राप्ति संभव होती है। GroupDocs.Search के साथ, इंडेक्स डिस्क पर रहता है, क्रमिक रूप से अपडेट किया जा सकता है, और फेस्डिंग तथा जटिल Boolean लॉजिक जैसी उन्नत सुविधाओं का समर्थन करता है।
+
+## फेस्डेड और जटिल क्वेरीज़ के लिए GroupDocs.Search क्यों उपयोग करें?
+- **Out‑of‑the‑box faceting** – फ़ाइल नाम, आकार, या कस्टम मेटाडेटा जैसे फ़ील्ड्स द्वारा फ़िल्टर करें।
+- **Rich query language** – AND/OR/NOT ऑपरेटर्स का उपयोग करके टेक्स्ट, फ़्रेज़, और फ़ील्ड क्वेरीज़ को मिलाएँ।
+- **Scalable performance** – मिलियन दस्तावेज़ों को इंडेक्स करता है जबकि सर्च लेटेंसी कम रखता है।
+- **Pure Java** – कोई नेटिव डिपेंडेंसी नहीं, वह किसी भी प्लेटफ़ॉर्म पर चलता है जो JDK 8+ चलाता है।
+
+## आवश्यकताएँ
+शुरू करने से पहले, सुनिश्चित करें कि आपके पास निम्नलिखित हैं:
+
+- **JDK 8 or newer** आपके IDE में इंस्टॉल और कॉन्फ़िगर किया हुआ।
+- **Maven** (या Gradle) डिपेंडेंसी मैनेजमेंट के लिए।
+- **GroupDocs.Search for Java** ≥ 25.4।
+- जावा OOP अवधारणाओं और Maven प्रोजेक्ट स्ट्रक्चर की बुनियादी परिचितता।
+
+## GroupDocs.Search for Java सेटअप करना
+
+### Maven सेटअप
+Add the repository and dependency to your `pom.xml` file:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### डायरेक्ट डाउनलोड
+वैकल्पिक रूप से, आधिकारिक रिलीज़ पेज से नवीनतम JAR डाउनलोड करें:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### लाइसेंस प्राप्ति
+पूर्ण कार्यक्षमता अनलॉक करने के लिए:
+
+1. **Free trial** – विकास और परीक्षण के लिए उपयुक्त।
+2. **Temporary evaluation license** – ट्रायल सीमाओं को बढ़ाता है।
+3. **Commercial license** – प्रोडक्शन उपयोग के लिए सभी प्रतिबंध हटाता है।
+
+### बेसिक इनिशियलाइज़ेशन और सेटअप
+निम्नलिखित स्निपेट दिखाता है कि कैसे `Index` क्लास को इंस्टैंसिएट करके **create a search index Java** किया जाता है:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+इंडेक्स तैयार होने के बाद, हम वास्तविक-विश्व फेस्डेड और जटिल क्वेरीज़ की ओर बढ़ सकते हैं।
+
+## कैसे create search index java – सरल फेस्डेड सर्च
+
+फेस्डेड सर्च उपयोगकर्ताओं को पूर्वनिर्धारित श्रेणियों (facets) से मान चुनकर परिणामों को संकीर्ण करने देता है। नीचे चरण‑दर‑चरण walkthrough दिया गया है।
+
+### चरण 1: इंडेक्स बनाएं
+पहले, `Index` को उस फ़ोल्डर की ओर इशारा करें जहाँ इंडेक्स फ़ाइलें संग्रहीत होंगी।
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### चरण 2: इंडेक्स में दस्तावेज़ जोड़ें
+GroupDocs.Search को बताएं कि आपके स्रोत दस्तावेज़ कहाँ स्थित हैं। सभी समर्थित फ़ाइल प्रकार (PDF, DOCX, TXT, आदि) स्वचालित रूप से इंडेक्स किए जाएंगे।
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### चरण 3: टेक्स्ट क्वेरी के साथ कंटेंट फ़ील्ड में खोज करें
+एक त्वरित टेक्स्ट क्वेरी `content` फ़ील्ड द्वारा फ़िल्टर करती है। सिंटैक्स `content: Pellentesque` परिणामों को उन दस्तावेज़ों तक सीमित करता है जिनके बॉडी टेक्स्ट में शब्द *Pellentesque* मौजूद है।
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### चरण 4: ऑब्जेक्ट क्वेरी का उपयोग करके खोज करें
+ऑब्जेक्ट‑आधारित क्वेरीज़ आपको सूक्ष्म नियंत्रण देती हैं। यहाँ हम एक शब्द क्वेरी बनाते हैं, उसे फ़ील्ड क्वेरी में लपेटते हैं, और उसे निष्पादित करते हैं।
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## कैसे create search index java – जटिल क्वेरी सर्च
+
+जटिल क्वेरीज़ कई फ़ील्ड्स, Boolean ऑपरेटर्स, और फ़्रेज़ सर्च को मिलाती हैं। यह e‑commerce फ़िल्टर या कानूनी दस्तावेज़ शोध जैसे परिदृश्यों के लिए आदर्श है।
+
+### चरण 1: जटिल क्वेरीज़ के लिए इंडेक्स बनाएं
+एक ही फ़ोल्डर संरचना का पुन: उपयोग करें; आप इंडेक्स को सरल और जटिल दोनों परिदृश्यों में साझा कर सकते हैं।
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### चरण 2: टेक्स्ट क्वेरी के साथ खोज करें
+निम्नलिखित क्वेरी उन फ़ाइलों को खोजती है जिनका नाम *lorem* **और** *ipsum* **या** कंटेंट में दो सटीक फ़्रेज़ में से कोई एक हो।
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### चरण 3: ऑब्जेक्ट क्वेरी के साथ खोज करें
+ऑब्जेक्ट‑आधारित निर्माण टेक्स्टुअल क्वेरी को प्रतिबिंबित करता है लेकिन टाइप सेफ़्टी और IDE सहायता प्रदान करता है।
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## फेस्डेड और जटिल खोजों के व्यावहारिक अनुप्रयोग
+
+| परिदृश्य | फेस्डिंग कैसे मदद करता है | उदाहरण क्वेरी |
+|----------|---------------------------|---------------|
+| **E‑commerce catalog** | श्रेणी, कीमत, ब्रांड द्वारा फ़िल्टर | `category: Electronics AND price:[100 TO 500]` |
+| **Legal document repository** | केस नंबर, अधिकार क्षेत्र द्वारा संकीर्ण | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Research archives** | लेखक, प्रकाशन वर्ष, कीवर्ड्स को मिलाएँ | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Enterprise intranet** | फ़ाइल प्रकार और विभाग द्वारा खोजें | `filetype: pdf AND department: HR` |
+
+ये उदाहरण दर्शाते हैं कि क्यों **create search index java** तकनीकों में महारत हासिल करना किसी भी डेटा‑गहन एप्लिकेशन के लिए गेम‑चेंजर है।
+
+## सामान्य समस्याएँ और ट्रबलशूटिंग
+- **Empty results** – सुनिश्चित करें कि दस्तावेज़ सफलतापूर्वक जोड़े गए हैं (`index.getDocumentCount()` मदद कर सकता है)।
+- **Stale index** – फ़ाइलें जोड़ने या हटाने के बाद, इंडेक्स को सिंक में रखने के लिए `index.update()` कॉल करें।
+- **Incorrect field names** – टाइपो से बचने के लिए `CommonFieldNames` कॉन्स्टेंट्स (`Content`, `FileName`, आदि) का उपयोग करें।
+- **Performance bottlenecks** – बड़े संग्रह के लिए, `index.setCacheSize()` सक्षम करने या इंडेक्स फ़ोल्डर के लिए समर्पित SSD उपयोग करने पर विचार करें।
+
+## अक्सर पूछे जाने वाले प्रश्न
+
+**Q: क्या मैं GroupDocs.Search को Spring Boot के साथ उपयोग कर सकता हूँ?**
+A: बिल्कुल। केवल Maven डिपेंडेंसी जोड़ें, इंडेक्स को Spring bean के रूप में कॉन्फ़िगर करें, और जहाँ आवश्यक हो वहाँ इंजेक्ट करें।
+
+**Q: क्या लाइब्रेरी कस्टम मेटाडेटा फ़ील्ड्स का समर्थन करती है?**
+A: हाँ – आप इंडेक्सिंग के दौरान यूज़र‑डिफाइंड फ़ील्ड्स जोड़ सकते हैं और फिर उन पर फेस्डिंग कर सकते हैं।
+
+**Q: इंडेक्स कितना बड़ा हो सकता है?**
+A: इंडेक्स डिस्क‑आधारित है और मिलियन दस्तावेज़ संभाल सकता है; बस पर्याप्त स्टोरेज सुनिश्चित करें और कैश सेटिंग्स की निगरानी करें।
+
+**Q: क्या परिणामों को प्रासंगिकता के आधार पर रैंक करने का कोई तरीका है?**
+A: GroupDocs.Search स्वचालित रूप से मैचों को स्कोर देता है; आप स्कोर `SearchResult.getDocument(i).getScore()` के माध्यम से प्राप्त कर सकते हैं।
+
+**Q: यदि मैं एन्क्रिप्टेड PDFs को इंडेक्स करता हूँ क्या होता है?**
+A: दस्तावेज़ जोड़ते समय पासवर्ड प्रदान करें: `index.add(filePath, password)`।
+
+## निष्कर्ष
+
+अब तक आपको GroupDocs.Search के साथ **create a search index Java** बनाने, दस्तावेज़ जोड़ने, और सरल फेस्डेड क्वेरीज़ तथा परिष्कृत Boolean खोजें बनाने में सहज महसूस होना चाहिए। ये क्षमताएँ आपको तेज़, सटीक, और उपयोगकर्ता‑मित्रवत सर्च अनुभव विभिन्न प्रकार के अनुप्रयोगों में प्रदान करने में सक्षम बनाती हैं—e‑commerce प्लेटफ़ॉर्म से लेकर एंटरप्राइज़ नॉलेज बेस तक।
+
+अगले कदम के लिए तैयार हैं? **GroupDocs.Search** की उन्नत सुविधाओं जैसे **highlighting**, **suggestions**, और **real‑time indexing** को एक्सप्लोर करें ताकि आपके एप्लिकेशन की सर्च शक्ति और बढ़े।
+
+**अंतिम अपडेट:** 2025-12-16
+**परीक्षित संस्करण:** GroupDocs.Search 25.4 for Java
+**लेखक:** GroupDocs
\ No newline at end of file
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+---
+date: '2025-12-16'
+description: GroupDocs.Search for Java का उपयोग करके डेट रेंज सर्च और फेसेटेड सर्च
+ जैसी अन्य उन्नत खोज सुविधाओं को कैसे लागू करें, साथ ही त्रुटि संभालना और प्रदर्शन
+ अनुकूलन सीखें।
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - तारीख सीमा खोज और उन्नत सुविधाएँ'
+type: docs
+url: /hi/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# GroupDocs.Search Java में महारत: डेट रेंज सर्च और उन्नत सुविधाएँ
+
+आज के डेटा‑ड्रिवन एप्लिकेशन्स में, **date range search** एक मुख्य क्षमता है जो आपको समय अवधि के आधार पर दस्तावेज़ों को फ़िल्टर करने की अनुमति देती है, जिससे प्रासंगिकता और गति में उल्लेखनीय सुधार होता है। चाहे आप एक अनुपालन पोर्टल, एक ई‑कॉमर्स कैटलॉग, या एक कंटेंट‑मैनेजमेंट सिस्टम बना रहे हों, date range search को अन्य शक्तिशाली क्वेरी प्रकारों के साथ महारत हासिल करने से आपका समाधान लचीला और मजबूत दोनों बन जाएगा। यह गाइड आपको एरर हैंडलिंग, विभिन्न क्वेरी प्रकारों और प्रदर्शन टिप्स के माध्यम से ले जाता है, सभी वास्तविक Java कोड के साथ जिसे आप कॉपी‑पेस्ट कर सकते हैं।
+
+## त्वरित उत्तर
+- **date range search क्या है?** निर्दिष्ट प्रारंभ‑से‑समाप्त अंतराल के भीतर तिथियों वाले दस्तावेज़ों को फ़िल्टर करना।
+- **कौन सी लाइब्रेरी यह प्रदान करती है?** GroupDocs.Search for Java.
+- **क्या मुझे लाइसेंस चाहिए?** विकास के लिए एक मुफ्त ट्रायल काम करता है; व्यावसायिक उपयोग के लिए एक प्रोडक्शन लाइसेंस आवश्यक है।
+- **क्या मैं इसे अन्य क्वेरीज़ के साथ मिला सकता हूँ?** हाँ—date ranges को boolean, faceted, या regex क्वेरीज़ के साथ मिलाएँ।
+- **क्या यह बड़े डेटासेट्स के लिए तेज़ है?** सही तरीके से इंडेक्स किए जाने पर, सर्च मिलियन रिकॉर्ड्स पर भी सब‑सेकंड समय में चलती है।
+
+## date range search क्या है?
+date range search आपको उन दस्तावेज़ों को खोजने में मदद करता है जिनमें दो सीमाओं के बीच की तिथियां होती हैं, जैसे “2023‑01‑01 ~~ 2023‑12‑31”. यह रिपोर्ट, ऑडिट लॉग, और किसी भी स्थिति में आवश्यक है जहाँ समय‑आधारित फ़िल्टरिंग महत्वपूर्ण होती है।
+
+## GroupDocs.Search for Java का उपयोग क्यों करें?
+GroupDocs.Search कई क्वेरी प्रकारों—simple, wildcard, faceted, numeric, date range, regex, boolean, और phrase—के लिए एकीकृत API प्रदान करता है, जिससे आप कई लाइब्रेरीज़ को संभाले बिना परिष्कृत सर्च अनुभव बना सकते हैं। इसका इवेंट‑ड्रिवन एरर हैंडलिंग भी आपके इंडेक्सिंग पाइपलाइन को लचीला बनाता है।
+
+## पूर्वापेक्षाएँ
+- **GroupDocs.Search Java library** (v25.4 या नया)।
+- **Java Development Kit (JDK)** आपके प्रोजेक्ट के साथ संगत।
+- निर्भरता प्रबंधन के लिए Maven (या मैन्युअल डाउनलोड)।
+
+### आवश्यक लाइब्रेरी और पर्यावरण सेटअप
+अपने `pom.xml` में GroupDocs रिपॉजिटरी और डिपेंडेंसी जोड़ें:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### वैकल्पिक सेटअप
+डायरेक्ट डाउनलोड के लिए, देखें [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### लाइसेंसिंग और प्रारंभिक सेटअप
+एक मुफ्त ट्रायल या अस्थायी लाइसेंस से शुरू करें:
+- विवरण के लिए देखें [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/)।
+
+अब चलिए वह इंडेक्स फ़ोल्डर बनाते हैं जो आपके सर्चेबल डेटा को रखेगा।
+
+## GroupDocs.Search for Java सेटअप करना
+
+### बेसिक इनिशियलाइज़ेशन
+पहले, एक `Index` ऑब्जेक्ट बनाएं जो डिस्क पर एक फ़ोल्डर की ओर इशारा करता है:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+अब आपके पास सभी सर्च ऑपरेशन्स के लिए एक गेटवे है।
+
+## इम्प्लीमेंटेशन गाइड
+
+### फीचर 1: इंडेक्सिंग में एरर हैंडलिंग
+#### इंडेक्सिंग एरर को कैसे कैप्चर करें (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*क्यों महत्वपूर्ण है*: `ErrorOccurred` को सुनकर, आप समस्याओं को लॉग कर सकते हैं, फेल हुए फ़ाइलों को रीट्राई कर सकते हैं, या उपयोगकर्ताओं को अलर्ट कर सकते हैं बिना पूरे प्रोसेस को क्रैश किए।
+
+### फीचर 2: सिम्पल सर्च क्वेरी
+#### सिम्पल सर्च क्या है?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*परिणाम*: वह सभी दस्तावेज़ लौटाता है जिनमें शब्द **volutpat** शामिल है।
+
+### फीचर 3: वाइल्डकार्ड सर्च क्वेरी
+#### वाइल्डकार्ड सर्च कैसे काम करता है?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*परिणाम*: **affect** और **effect** दोनों से मेल खाता है, जो `?` प्लेसहोल्डर की शक्ति दर्शाता है।
+
+### फीचर 4: फेसेटेड सर्च क्वेरी
+#### Java में फेसेटेड सर्च कैसे करें
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*परिणाम*: सर्च को **Content** फ़ील्ड तक सीमित करता है, जो श्रेणी या लेखक जैसे मेटाडाटा द्वारा फ़िल्टर करने के लिए आदर्श है।
+
+### फीचर 5: न्यूमेरिक रेंज सर्च क्वेरी
+#### न्यूमेरिक रेंज कैसे सर्च करें
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*परिणाम*: उन दस्तावेज़ों को प्राप्त करता है जहाँ संख्यात्मक मान 2000 और 3000 के बीच होते हैं।
+
+### फीचर 6: डेट रेंज सर्च क्वेरी
+#### डेट रेंज सर्च कैसे निष्पादित करें
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*व्याख्या*: `SearchOptions` को कस्टमाइज़ करके, आप इंजन को **MM/DD/YYYY** फॉर्मेट में तिथियों को पहचानने के लिए कहते हैं, फिर 1 जनवरी 2000 से 15 जून 2001 के बीच सभी रिकॉर्ड्स को प्राप्त करते हैं।
+
+### फीचर 7: रेगुलर एक्सप्रेशन सर्च क्वेरी
+#### Java में रेगेक्स सर्च कैसे चलाएँ
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*परिणाम*: तीन या अधिक समान अक्षरों की श्रृंखला खोजता है (जैसे “aaa”, “111”).
+
+### फीचर 8: बूलियन सर्च क्वेरी
+#### Java में बूलियन सर्च के साथ शर्तों को कैसे मिलाएँ
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*परिणाम*: उन दस्तावेज़ों को लौटाता है जिनमें **justo** है लेकिन उन सभी को बाहर रखता है जिनमें **3456** भी है।
+
+### फीचर 9: कॉम्प्लेक्स बूलियन सर्च क्वेरी
+#### उन्नत बूलियन क्वेरी कैसे बनाएँ
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*परिणाम*: फ़ाइल नामों को “English” के समान खोजता है (1‑3 अक्षर के अंतर की अनुमति) **या** ऐसी सामग्री जो दोनों **3456** और **consequat** शामिल करती है।
+
+### फीचर 10: फ्रेज़ सर्च क्वेरी
+#### सटीक वाक्यांश कैसे खोजें
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*परिणाम*: केवल उन दस्तावेज़ों को प्राप्त करता है जिनमें सटीक वाक्यांश **ipsum dolor sit amet** है।
+
+## व्यावहारिक अनुप्रयोग
+1. **E‑commerce Platforms** – आकार, रंग और ब्रांड के आधार पर उत्पादों को फ़िल्टर करने के लिए faceted search Java का उपयोग करें।
+2. **Content Management Systems** – उन्नत संपादकीय टूल्स को शक्ति देने के लिए boolean search Java को phrase search के साथ मिलाएँ।
+3. **Data Analysis Tools** – समय‑आधारित रिपोर्ट और डैशबोर्ड बनाने के लिए date range search का उपयोग करें।
+
+## सामान्य समस्याएँ और समाधान
+- **date range search के लिए कोई परिणाम नहीं** – सुनिश्चित करें कि आपके दस्तावेज़ों में तिथि फॉर्मेट आपके द्वारा जोड़े गए कस्टम `DateFormat` से मेल खाता है।
+- **Regex क्वेरीज़ बहुत अधिक हिट्स देती हैं** – पैटर्न को परिष्कृत करें या अतिरिक्त फ़ील्ड क्वालिफायर के साथ सर्च स्कोप को सीमित करें।
+- **इंडेक्सिंग एरर कैप्चर नहीं हो रहे** – सुनिश्चित करें कि इवेंट हैंडलर `index.add(...)` को कॉल करने **से पहले** जुड़ा हो।
+
+## अक्सर पूछे जाने वाले प्रश्न
+
+**Q: क्या मैं date range search को अन्य क्वेरी प्रकारों के साथ मिला सकता हूँ?**
+A: बिल्कुल। आप एक date range क्लॉज़ को बूलियन ऑपरेटर्स, फेसेटेड फ़िल्टर या रेगेक्स पैटर्न के साथ एक ही क्वेरी स्ट्रिंग में मिला सकते हैं।
+
+**Q: तिथि फॉर्मेट बदलने के बाद क्या मुझे इंडेक्स को पुनः बनाना चाहिए?**
+A: हाँ। इंडेक्स टोकनाइज़्ड टर्म्स को संग्रहीत करता है; केवल `SearchOptions` को अपडेट करने से मौजूदा डेटा पुनः‑टोकनाइज़ नहीं होगा। फॉर्मेट बदलने के बाद दस्तावेज़ों को पुनः‑इंडेक्स करें।
+
+**Q: GroupDocs.Search बड़े इंडेक्स को कैसे संभालता है?**
+A: यह इन्क्रीमेंटल इंडेक्सिंग और ऑन‑डिस्क स्टोरेज का उपयोग करता है, जिससे आप मिलियन दस्तावेज़ों तक स्केल कर सकते हैं जबकि मेमोरी उपयोग कम रहता है।
+
+**Q: वाइल्डकार्ड अक्षरों की संख्या पर कोई सीमा है?**
+A: वाइल्डकार्ड को प्रभावी ढंग से प्रोसेस किया जाता है, लेकिन कई लीडिंग वाइल्डकार्ड (जैसे `*term`) का उपयोग प्रदर्शन को घटा सकता है। प्रीफ़िक्स या सफ़िक्स वाइल्डकार्ड को प्राथमिकता दें।
+
+**Q: प्रोडक्शन के लिए कौन सा लाइसेंस मॉडल अनुशंसित है?**
+A: GroupDocs का परपेचुअल या सब्सक्रिप्शन लाइसेंस आपको अपडेट, सपोर्ट और ट्रायल सीमाओं के बिना डिप्लॉय करने की क्षमता देता है।
+
+## निष्कर्ष
+**date range search** और GroupDocs.Search for Java द्वारा प्रदान किए गए उन्नत क्वेरी प्रकारों के पूर्ण सेट में महारत हासिल करके, आप अत्यधिक प्रतिक्रियाशील, फीचर‑रिच सर्च अनुभव बना सकते हैं। मजबूत एरर हैंडलिंग लागू करें, अपने इंडेक्स को फाइन‑ट्यून करें, और क्वेरीज़ को मिलाकर लगभग किसी भी रिट्रीवल परिदृश्य को पूरा करें। आज ही प्रयोग शुरू करें और अपने एप्लिकेशन की डेटा‑एक्सेस क्षमताओं को ऊँचा उठाएँ।
+
+---
+
+**अंतिम अपडेट:** 2025-12-16
+**परीक्षित संस्करण:** GroupDocs.Search 25.4 (Java)
+**लेखक:** GroupDocs
\ No newline at end of file
diff --git a/content/hongkong/_index.md b/content/hongkong/_index.md
new file mode 100644
index 00000000..07bab075
--- /dev/null
+++ b/content/hongkong/_index.md
@@ -0,0 +1,74 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: 探索針對 .NET 與 Java 開發者的 GroupDocs.Search 教學系列。輕鬆掌握文件索引、搜尋功能及進階特性。
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: GroupDocs.Search 教學 – 解鎖文件搜尋的力量
+type: docs
+url: /zh-hant/
+weight: 11
+---
+
+# GroupDocs.Search 教學 – 解鎖文件搜尋的力量
+
+Welcome to the **GroupDocs.Search 教學** hub, your one‑stop destination for mastering document search and indexing across .NET and Java platforms. Whether you’re building a small internal tool or a large‑scale enterprise solution, these step‑by‑step guides will help you implement fast, accurate, and scalable search functionality. You’ll learn everything from basic indexing to sophisticated query building, all while leveraging the full power of GroupDocs.Search.
+
+## 為何使用 GroupDocs.Search 教學？
+
+The tutorial series is designed with real‑world scenarios in mind, so you can quickly apply what you learn to your projects. By following these guides you will:
+
+- 獲得對 **document indexing** 技術的扎實理解。
+- 學習如何打造高效的 **search capabilities**，以處理大型文件集合。
+- 探索進階功能，例如 fuzzy search、highlighting 與 distributed search networks。
+- 透過針對 .NET 與 Java 環境的清晰、範例驅動說明，縮短開發時間。
+
+{{% alert color="primary" %}}
+探索在 .NET 中使用 GroupDocs.Search 教學的強大文件搜尋功能。從基礎索引到進階搜尋技術，我們的教學為各層次開發者提供完整指引。深入探討 boolean search、fuzzy search、highlighting、dictionary management 與 distributed search solutions，釋放 GroupDocs.Search 在 .NET 上的全部潛能。提升應用程式的搜尋功能，並透過我們易於跟隨的教學，簡化文件發現流程。
+{{% /alert %}}
+
+## GroupDocs.Search for .NET 教學
+
+### 必備 .NET 搜尋教學
+
+- [索引](./net/indexing/)
+- [搜尋](./net/searching/)
+- [標註](./net/highlighting/)
+- [字典與語言處理](./net/dictionaries-language-processing/)
+- [文件管理](./net/document-management/)
+- [OCR 與影像搜尋](./net/ocr-image-search/)
+- [進階功能](./net/advanced-features/)
+- [搜尋網路](./net/search-network/)
+- [效能優化](./net/performance-optimization/)
+- [例外處理與記錄](./net/exception-handling-logging/)
+- [整合與互通性](./net/integration-interoperability/)
+- [授權與設定](./net/licensing-configuration/)
+- [文字擷取與處理](./net/text-extraction-processing/)
+- [查詢與查詢建構](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+探索針對 Java 的 GroupDocs.Search 完整教學。從基礎索引技術到進階搜尋功能，我們的一步一步指南為 Java 開發者提供實作強大文件搜尋解決方案的知識。學習處理各種文件格式，包括 PDF、Word、Excel、簡報等。掌握建立索引、執行不同搜尋類型、標註結果與效能優化的技巧，提升您的 Java 應用程式的強韌搜尋能力。
+{{% /alert %}}
+
+## GroupDocs.Search for Java 教學
+
+### 必備 Java 搜尋教學
+
+- [入門指南](./java/getting-started/)
+- [索引](./java/indexing/)
+- [搜尋](./java/searching/)
+- [標註](./java/highlighting/)
+- [字典與語言處理](./java/dictionaries-language-processing/)
+- [文件管理](./java/document-management/)
+- [OCR 與影像搜尋](./java/ocr-image-search/)
+- [進階功能](./java/advanced-features/)
+- [搜尋網路](./java/search-network/)
+- [效能優化](./java/performance-optimization/)
+- [例外處理與記錄](./java/exception-handling-logging/)
+- [授權與設定](./java/licensing-configuration/)
+- [文字擷取與處理](./java/text-extraction-processing/)
+
+---
+
+**最後更新：** 2025-12-16
+**作者：** GroupDocs
\ No newline at end of file
diff --git a/content/hongkong/java/advanced-features/_index.md b/content/hongkong/java/advanced-features/_index.md
new file mode 100644
index 00000000..b8e475c0
--- /dev/null
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@@ -0,0 +1,58 @@
+---
+date: 2025-12-16
+description: 學習如何建立搜尋索引，並透過 GroupDocs.Search Java 教學實作日期範圍、分面搜尋及文件篩選。
+title: 建立搜尋索引 - GroupDocs.Search Java 教學
+type: docs
+url: /zh-hant/java/advanced-features/
+weight: 8
+---
+
+# 建立搜尋索引：GroupDocs.Search Java 教程
+
+歡迎來到 **建立搜尋索引** 的中心，並使用 GroupDocs.Search for Java 解鎖先進的搜尋功能。無論您想 **實作日期範圍** 查詢、套用 **檔案副檔名過濾 Java**，或構建 **複雜搜尋 Java** 解決方案，這些教程都提供逐步指引、實務範例以及可直接執行的程式碼。完成本指南後，您將了解如何設計可隨大量文件集合擴展的強大搜尋體驗。
+
+## 如何使用 GroupDocs.Search Java 建立搜尋索引？
+
+建立穩健的搜尋索引是任何高階搜尋功能的基礎。以下教程將示範如何：
+
+* 高效地設定索引並新增文件。
+* 使用中繼資料與屬性來豐富搜尋結果。
+* 套用如 **document filtering java** 與 **file extension filtering java** 等過濾條件，以縮小結果範圍。
+* 執行結合多項條件的 **complex search java** 查詢，包含 **implement date range** 限制。
+
+## 可用教程
+
+### [基於區塊的文件搜尋（Java）: 使用 GroupDocs.Search 的完整指南](./groupdocs-search-java-chunk-based-search-tutorial/)
+了解如何使用 GroupDocs.Search for Java 實作高效的基於區塊的文件搜尋。提升生產力，無縫管理大型資料集。
+
+### [分面與複雜搜尋（Java）: 精通 GroupDocs.Search 的進階功能](./faceted-complex-search-groupdocs-java/)
+了解如何在 Java 應用程式中使用 GroupDocs.Search 實作分面與複雜搜尋，提升搜尋功能與使用者體驗。
+
+### [實作 GroupDocs.Search Java: 完整索引與報告指南](./groupdocs-search-java-index-report-guide/)
+精通 GroupDocs.Search for Java，實現高效的文件索引與報告。透過本詳細指南學習建立索引、加入文件以及產生報告。
+
+### [精通 Java 日期範圍搜尋（GroupDocs.Search）](./master-date-range-searches-groupdocs-java/)
+GroupDocs.Search Java 的程式碼教學
+
+### [精通 GroupDocs.Search Java: 高效資料檢索的進階搜尋功能](./groupdocs-search-java-advanced-search-features/)
+學習精通 GroupDocs.Search for Java 的進階搜尋功能，包括錯誤處理、各種查詢類型與效能最佳化。
+
+### [精通 Java 檔案過濾（使用 GroupDocs.Search）: 步驟指南](./master-java-file-filtering-groupdocs-search/)
+了解如何使用 GroupDocs.Search 在 Java 中高效管理與過濾檔案，涵蓋檔案副檔名、邏輯運算子等。
+
+### [精通 GroupDocs.Search for Java: 文件索引與搜尋完整指南](./groupdocs-search-java-implementation-guide/)
+透過本完整指南學習在 Java 中實作 GroupDocs.Search。探索強大的文字擷取、序列化、索引與搜尋功能。
+
+## 其他資源
+
+- [GroupDocs.Search for Java 文件說明](https://docs.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java API 參考](https://reference.groupdocs.com/search/java/)
+- [下載 GroupDocs.Search for Java](https://releases.groupdocs.com/search/java/)
+- [GroupDocs.Search 論壇](https://forum.groupdocs.com/c/search)
+- [免費支援](https://forum.groupdocs.com/)
+- [臨時授權](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**最後更新：** 2025-12-16
+**作者：** GroupDocs
\ No newline at end of file
diff --git a/content/hongkong/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/hongkong/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
new file mode 100644
index 00000000..829c0965
--- /dev/null
+++ b/content/hongkong/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -0,0 +1,256 @@
+---
+date: '2025-12-16'
+description: 學習如何在 Java 中使用 GroupDocs.Search 建立搜尋索引，並實作分面與複雜搜尋，提升搜尋效能與使用者體驗。
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: 建立搜尋索引（Java）– 分面與複雜搜尋
+type: docs
+url: /zh-hant/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# 建立 Java 搜尋索引 – 分面與複雜搜尋
+
+在 Java 中實作強大的 **search experience** 可能會讓人感到壓力，尤其是當您需要 **create search index Java** 專案來處理大量文件集合時。幸運的是，**GroupDocs.Search for Java** 提供了功能豐富的 API，讓您只需幾行程式碼即可建立分面與複雜查詢。在本教學中，您將學會如何設定函式庫、**create a search index Java**、加入文件，並執行簡單的分面搜尋與高階的多條件查詢。
+
+## 快速解答
+- **What is a faceted search?** 透過預先定義的類別（例如檔案類型、日期）來篩選結果的方式。
+- **How do I create a search index Java?** 初始化指向資料夾的 `Index` 物件並加入文件。
+- **Can I combine multiple criteria?** 可以——在文字查詢中使用基於物件的查詢或布林運算子。
+- **Do I need a license?** 免費試用版可用於開發；商業授權則移除所有限制。
+- **Which IDE works best?** 任何 Java IDE（IntelliJ IDEA、Eclipse、NetBeans）皆可順利使用。
+
+## 什麼是 “create search index java”？
+在 Java 中建立搜尋索引即是建構一個可搜尋的資料結構，用以儲存文件的中繼資料與內容，從而能根據使用者查詢快速取得結果。使用 GroupDocs.Search 時，索引會存放於磁碟上，可增量更新，並支援如分面與複雜布林邏輯等進階功能。
+
+## 為何使用 GroupDocs.Search 進行分面與複雜查詢？
+- **Out‑of‑the‑box faceting** – 依檔名、大小或自訂中繼資料等欄位進行篩選。
+- **Rich query language** – 使用 AND/OR/NOT 運算子混合文字、片語與欄位查詢。
+- **Scalable performance** – 能索引數百萬文件，同時保持低搜尋延遲。
+- **Pure Java** – 無原生相依性，可在任何執行 JDK 8+ 的平台上運作。
+
+## 先決條件
+
+在開始之前，請確保您具備以下條件：
+
+- **JDK 8 或更新版本** 已安裝並在您的 IDE 中設定。
+- **Maven**（或 Gradle）用於相依性管理。
+- **GroupDocs.Search for Java** ≥ 25.4。
+- 具備 Java 物件導向概念與 Maven 專案結構的基本認識。
+
+## 設定 GroupDocs.Search for Java
+
+### Maven 設定
+將儲存庫與相依性加入您的 `pom.xml` 檔案：
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### 直接下載
+或者，從官方發行頁面下載最新的 JAR：
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### 取得授權
+解鎖全部功能：
+
+1. **Free trial** – 適合開發與測試的免費試用版。
+2. **Temporary evaluation license** – 延長試用限制的臨時評估授權。
+3. **Commercial license** – 移除生產環境使用的所有限制。
+
+### 基本初始化與設定
+以下程式碼示範如何透過實例化 `Index` 類別 **create a search index Java**：
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+索引建立完成後，我們即可進入實務上的分面與複雜查詢。
+
+## 如何建立搜尋索引 Java – 簡易分面搜尋
+
+分面搜尋讓最終使用者透過選取預先定義的類別（facet）值來縮小結果範圍。以下為逐步說明。
+
+### 步驟 1：建立索引
+首先，將 `Index` 指向用於儲存索引檔案的資料夾。
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### 步驟 2：將文件加入索引
+告訴 GroupDocs.Search 您的來源文件所在位置。所有支援的檔案類型（PDF、DOCX、TXT 等）都會自動被索引。
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### 步驟 3：使用文字查詢在 Content 欄位執行搜尋
+快速的文字查詢會依 `content` 欄位過濾。語法 `content: Pellentesque` 會將結果限制為正文中包含 *Pellentesque* 一詞的文件。
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### 步驟 4：使用物件查詢執行搜尋
+基於物件的查詢提供更細緻的控制。此處我們建立一個字詞查詢，將其包裝於欄位查詢中，然後執行。
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## 如何建立搜尋索引 Java – 複雜查詢搜尋
+
+複雜查詢結合多個欄位、布林運算子與片語搜尋。這在電商過濾或法律文件研究等情境中非常適用。
+
+### 步驟 1：為複雜查詢建立索引
+重複使用相同的資料夾結構；您可以在簡易與複雜情境間共用同一索引。
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### 步驟 2：使用文字查詢執行搜尋
+以下查詢尋找檔名為 *lorem* **且** *ipsum* **或** 內容包含兩個精確片語之一的檔案。
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### 步驟 3：使用物件查詢執行搜尋
+基於物件的建構方式與文字查詢相同，但提供型別安全與 IDE 輔助。
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## 分面與複雜搜尋的實務應用
+
+| Scenario | How Faceting Helps | Example Query |
+|----------|-------------------|---------------|
+| **電商目錄** | 依類別、價格、品牌篩選 | `category: Electronics AND price:[100 TO 500]` |
+| **法律文件庫** | 依案件編號、司法管轄區縮小範圍 | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **研究檔案庫** | 結合作者、出版年份、關鍵字 | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **企業內部網路** | 依檔案類型與部門搜尋 | `filetype: pdf AND department: HR` |
+
+這些範例說明了為何精通 **create search index java** 技術對任何資料密集型應用都是顛覆性的。
+
+## 常見陷阱與除錯
+
+- **Empty results** – 確認文件已成功加入（可使用 `index.getDocumentCount()` 來協助檢查）。
+- **Stale index** – 在新增或移除檔案後，呼叫 `index.update()` 以保持索引同步。
+- **Incorrect field names** – 使用 `CommonFieldNames` 常數（`Content`、`FileName` 等）以避免拼寫錯誤。
+- **Performance bottlenecks** – 對於龐大集合，考慮啟用 `index.setCacheSize()` 或使用專用 SSD 作為索引資料夾。
+
+## 常見問答
+
+**Q: 我可以在 Spring Boot 中使用 GroupDocs.Search 嗎？**
+A: 當然可以。只需加入 Maven 相依性，將索引配置為 Spring Bean，然後在需要的地方注入即可。
+
+**Q: 此函式庫支援自訂中繼資料欄位嗎？**
+A: 支援——您可以在索引時加入使用者自訂欄位，之後再對其進行分面。
+
+**Q: 索引可以長到多大？**
+A: 索引為磁碟基礎，可處理數百萬文件；只需確保有足夠的儲存空間並監控快取設定。
+
+**Q: 有沒有方式依相關性排序結果？**
+A: GroupDocs.Search 會自動為匹配項目打分；您可以透過 `SearchResult.getDocument(i).getScore()` 取得分數。
+
+**Q: 若索引加密的 PDF 會發生什麼情況？**
+A: 在加入文件時提供密碼：`index.add(filePath, password)`。
+
+## 結論
+
+現在您應該已能熟練使用 GroupDocs.Search **create a search index Java**，加入文件，並編寫簡單的分面查詢與複雜的布林搜尋。這些功能讓您能在各種應用中提供快速、精確且使用者友善的搜尋體驗，從電商平台到企業知識庫皆是如此。
+
+準備好下一步了嗎？探索 **GroupDocs.Search** 的進階功能，如 **highlighting**、**suggestions** 與 **real‑time indexing**，進一步提升應用程式的搜尋效能。
+
+---
+
+**最後更新：** 2025-12-16
+**測試環境：** GroupDocs.Search 25.4 for Java
+**作者：** GroupDocs
\ No newline at end of file
diff --git a/content/hongkong/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/hongkong/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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+---
+date: '2025-12-16'
+description: 學習如何使用 GroupDocs.Search for Java 執行日期範圍搜尋以及其他進階搜尋功能，如分面搜尋，並包含錯誤處理與效能優化。
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: GroupDocs.Search Java - 日期範圍搜尋與進階功能
+type: docs
+url: /zh-hant/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# 精通 GroupDocs.Search Java：日期範圍搜尋與進階功能
+
+在當今以資料為驅動的應用程式中，**日期範圍搜尋** 是一項核心功能，讓您能依時間區間過濾文件，顯著提升相關性與速度。無論您是構建合規門戶、電子商務目錄，或內容管理系統，精通日期範圍搜尋並結合其他強大的查詢類型，都能讓您的解決方案既彈性又穩健。本指南將帶您了解錯誤處理、完整的查詢類型以及效能技巧，全部附上可直接複製貼上的 Java 程式碼。
+
+## 快速回答
+- **什麼是日期範圍搜尋？** 篩選包含在指定起始至結束區間內的日期的文件。
+- **哪個函式庫提供此功能？** GroupDocs.Search for Java。
+- **我需要授權嗎？** 免費試用可用於開發；商業使用需購買正式授權。
+- **我可以將它與其他查詢結合使用嗎？** 可以——將日期範圍與布林、分面或正則表達式查詢混合使用。
+- **在大型資料集上是否快速？** 正確建立索引後，即使在數百萬筆記錄上，搜尋也能在秒以下完成。
+
+## 什麼是日期範圍搜尋？
+日期範圍搜尋讓您找出文件中包含落在兩個邊界之間的日期，例如「2023‑01‑01 ~~ 2023‑12‑31」。這在報告、稽核日誌以及任何需要時間基礎過濾的情境中都相當重要。
+
+## 為什麼使用 GroupDocs.Search for Java？
+GroupDocs.Search 提供統一的 API，支援多種查詢類型——簡單、萬用字元、分面、數值、日期範圍、正則、布林與片語——讓您在不必切換多個函式庫的情況下，打造複雜的搜尋體驗。其事件驅動的錯誤處理機制亦能讓您的索引流程更具韌性。
+
+## 前置條件
+- **GroupDocs.Search Java 函式庫**（v25.4 或更新版本）。
+- **Java Development Kit (JDK)**，與您的專案相容。
+- Maven 用於相依管理（或手動下載）。
+
+### 必要函式庫與環境設定
+將 GroupDocs 套件庫與相依加入您的 `pom.xml`：
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### 替代設定
+如需直接下載，請前往 [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)。
+
+### 授權與初始設定
+先使用免費試用或臨時授權：
+
+- 前往 [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) 了解詳情。
+
+現在讓我們建立用來保存可搜尋資料的索引資料夾。
+
+## 設定 GroupDocs.Search for Java
+
+### 基本初始化
+首先，實例化一個指向磁碟資料夾的 `Index` 物件：
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+您現在已擁有所有搜尋操作的入口。
+
+## 實作指南
+
+### 功能 1：索引時的錯誤處理
+#### 如何捕捉索引錯誤（Java）
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*為什麼重要*：透過監聽 `ErrorOccurred`，您可以記錄問題、重試失敗的檔案，或在不讓整個程序崩潰的情況下提醒使用者。
+
+### 功能 2：簡單搜尋查詢
+#### 什麼是簡單搜尋？
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*結果*：返回每個包含 **volutpat** 詞彙的文件。
+
+### 功能 3：萬用字元搜尋查詢
+#### 萬用字元搜尋如何運作？
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*結果*：同時匹配 **affect** 與 **effect**，展示 `?` 佔位符的威力。
+
+### 功能 4：分面搜尋查詢
+#### 如何在 Java 中執行分面搜尋？
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*結果*：將搜尋限制在 **Content** 欄位，適合依類別或作者等中繼資料過濾。
+
+### 功能 5：數值範圍搜尋查詢
+#### 如何搜尋數值範圍？
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*結果*：取得數值落在 2000 到 3000 之間的文件。
+
+### 功能 6：日期範圍搜尋查詢
+#### 如何執行日期範圍搜尋？
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*說明*：透過自訂 `SearchOptions`，告訴引擎辨識 **MM/DD/YYYY** 格式的日期，然後檢索 2000 年 1 月 1 日至 2001 年 6 月 15 日之間的所有記錄。
+
+### 功能 7：正則表達式搜尋查詢
+#### 如何在 Java 中執行正則搜尋？
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*結果*：找出連續三個或以上相同字元的序列（例如 “aaa”、 “111”）。
+
+### 功能 8：布林搜尋查詢
+#### 如何在 Java 中以布林方式組合條件？
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*結果*：返回包含 **justo** 但排除同時包含 **3456** 的文件。
+
+### 功能 9：複雜布林搜尋查詢
+#### 如何打造進階布林查詢？
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*結果*：尋找檔名類似 “English”（允許 1‑3 個字元變化）**或** 內容同時包含 **3456** 與 **consequat** 的文件。
+
+### 功能 10：片語搜尋查詢
+#### 如何搜尋精確片語？
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*結果*：僅檢索包含完整片語 **ipsum dolor sit amet** 的文件。
+
+## 實務應用
+1. **電子商務平台** – 使用 Java 分面搜尋依尺寸、顏色與品牌過濾商品。
+2. **內容管理系統** – 結合 Java 布林搜尋與片語搜尋，為編輯工具提供強大功能。
+3. **資料分析工具** – 利用日期範圍搜尋產生時間為基礎的報表與儀表板。
+
+## 常見問題與解決方案
+- **日期範圍搜尋無結果** – 確認文件中的日期格式與您自訂的 `DateFormat` 相符。
+- **正則查詢返回過多結果** – 精練模式或使用額外的欄位限定縮小搜尋範圍。
+- **索引錯誤未被捕捉** – 確保事件處理器在呼叫 `index.add(...)` 之前已註冊 **before**。
+
+## 常見問答
+
+**Q: 我可以將日期範圍搜尋與其他查詢類型混合使用嗎？**
+A: 當然可以。您可以在單一查詢字串中將日期範圍子句與布林運算子、分面過濾或正則模式結合。
+
+**Q: 更改日期格式後需要重新建立索引嗎？**
+A: 需要。索引儲存的是已斷詞的詞彙；僅更新 `SearchOptions` 並不會重新斷詞現有資料。變更格式後請重新索引文件。
+
+**Q: GroupDocs.Search 如何處理大型索引？**
+A: 它採用增量索引與磁碟儲存，讓您在保持低記憶體使用量的同時，擴展至數百萬份文件。
+
+**Q: 萬用字元的使用次數有上限嗎？**
+A: 萬用字元處理效率高，但大量前置萬用字元（例如 `*term`）會降低效能。建議使用前綴或後綴萬用字元。
+
+**Q: 生產環境建議使用哪種授權模式？**
+A: 建議採用 GroupDocs 的永久或訂閱授權，以確保您獲得更新、支援，且可在無試用限制的情況下部署。
+
+## 結論
+透過精通 **日期範圍搜尋** 以及 GroupDocs.Search for Java 所提供的完整進階查詢類型，您可以打造高回應、功能豐富的搜尋體驗。實作穩健的錯誤處理、微調索引設定，並靈活組合查詢，以滿足幾乎所有的檢索需求。立即開始實驗，提升應用程式的資料存取能力。
+
+---
+
+**最後更新：** 2025-12-16
+**測試環境：** GroupDocs.Search 25.4 (Java)
+**作者：** GroupDocs
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diff --git a/content/hungarian/_index.md b/content/hungarian/_index.md
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Fedezze fel a GroupDocs.Search oktatóanyag-gyűjteményt .NET és Java fejlesztők
+ számára. Sajátítsa el a dokumentum-indexelést, a keresési képességeket és a fejlett
+ funkciókat könnyedén.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: GroupDocs.Search oktató – Szabadítsa fel a dokumentumkeresés erejét
+type: docs
+url: /hu/
+weight: 11
+---
+
+# GroupDocs.Search oktató – A dokumentumkeresés erejének feloldása
+
+Üdvözöljük a **GroupDocs.Search oktató** központjában, amely egyetlen helyen kínálja a dokumentumkeresés és indexelés elsajátítását a .NET és Java platformokon. Akár egy kis belső eszközt, akár egy nagyszabású vállalati megoldást épít, ezek a lépésről‑lépésre útmutatók segítenek gyors, pontos és skálázható keresési funkció megvalósításában. Mindent megtanulhat az alapvető indexeléstől a kifinomult lekérdezésépítésig, miközben a GroupDocs.Search teljes erejét kihasználja.
+
+## Miért használja a GroupDocs.Search oktatót?
+
+Az oktatósorozat valós helyzetekre épül, így gyorsan alkalmazhatja a tanultakat projektjeiben. Az útmutatók követésével Ön:
+
+- Megerősíti a **dokumentum indexelés** technikákkal kapcsolatos alapos megértését.
+- Megtanulja, hogyan alakítson ki hatékony **keresési képességeket**, amelyek nagy dokumentumgyűjteményeket kezelnek.
+- Felfedezi a fejlett funkciókat, mint a fuzzy keresés, kiemelés és az elosztott keresési hálózatok.
+- Csökkenti a fejlesztési időt világos, példákkal alátámasztott útmutatókkal mind .NET, mind Java környezetben.
+
+{{% alert color="primary" %}}
+Fedezze fel a .NET-ben elérhető erőteljes dokumentumkeresési képességeket a GroupDocs.Search oktatóival. Az alapvető indexeléstől a fejlett keresési technikákig, oktatóink átfogó útmutatást nyújtanak minden szintű fejlesztő számára. Merüljön el különböző témákban, mint a logikai (boolean) keresés, fuzzy keresés, kiemelés, szótárkezelés és az elosztott keresési megoldások, felszabadítva a GroupDocs.Search teljes potenciálját .NET-hez. Emelje alkalmazása keresési funkcióját, és egyszerűsítse a dokumentumok felfedezését könnyen követhető oktatóinkkal.
+{{% /alert %}}
+
+## GroupDocs.Search .NET oktatók
+
+### Alapvető .NET kereső oktatók
+
+- [Indexelés](./net/indexing/)
+- [Keresés](./net/searching/)
+- [Kiemelés](./net/highlighting/)
+- [Szótárak és nyelvi feldolgozás](./net/dictionaries-language-processing/)
+- [Dokumentumkezelés](./net/document-management/)
+- [OCR és képkeresés](./net/ocr-image-search/)
+- [Fejlett funkciók](./net/advanced-features/)
+- [Keresési hálózat](./net/search-network/)
+- [Teljesítményoptimalizálás](./net/performance-optimization/)
+- [Kivételkezelés és naplózás](./net/exception-handling-logging/)
+- [Integráció és interoperabilitás](./net/integration-interoperability/)
+- [Licencelés és konfiguráció](./net/licensing-configuration/)
+- [Szövegkinyerés és feldolgozás](./net/text-extraction-processing/)
+- [Lekérdezések és lekérdezésépítés](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Fedezze fel a GroupDocs.Search Java számára készült átfogó oktatóit. Az alapvető indexelési technikáktól a fejlett keresési funkciókig, lépésről‑lépésre útmutatóink a Java fejlesztőknek nyújtanak tudást erőteljes dokumentumkeresési megoldások megvalósításához. Tanulja meg különböző dokumentumformátumok kezelését, beleértve a PDF, Word, Excel, prezentációk és egyebek. Sajátítsa el a technikákat indexek létrehozásához, különböző kereséstípusok végrehajtásához, eredmények kiemeléséhez és a teljesítmény optimalizálásához, hogy Java alkalmazásait robusztus keresési képességekkel lássa el.
+{{% /alert %}}
+
+## GroupDocs.Search Java oktatók
+
+### Alapvető Java kereső oktatók
+
+- [Első lépések](./java/getting-started/)
+- [Indexelés](./java/indexing/)
+- [Keresés](./java/searching/)
+- [Kiemelés](./java/highlighting/)
+- [Szótárak és nyelvi feldolgozás](./java/dictionaries-language-processing/)
+- [Dokumentumkezelés](./java/document-management/)
+- [OCR és képkeresés](./java/ocr-image-search/)
+- [Fejlett funkciók](./java/advanced-features/)
+- [Keresési hálózat](./java/search-network/)
+- [Teljesítményoptimalizálás](./java/performance-optimization/)
+- [Kivételkezelés és naplózás](./java/exception-handling-logging/)
+- [Licencelés és konfiguráció](./java/licensing-configuration/)
+- [Szövegkinyerés és feldolgozás](./java/text-extraction-processing/)
+
+---
+
+**Last Updated:** 2025-12-16
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/hungarian/java/advanced-features/_index.md b/content/hungarian/java/advanced-features/_index.md
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+---
+date: 2025-12-16
+description: Tanulja meg, hogyan hozhat létre keresési indexet, és valósíthat meg
+ dátumtartományt, facettált keresést és dokumentumszűrést a GroupDocs.Search Java
+ oktatóanyagok segítségével.
+title: 'Keresési index létrehozása - GroupDocs.Search Java oktatóanyagok'
+type: docs
+url: /hu/java/advanced-features/
+weight: 8
+---
+
+# Keresési index létrehozása: GroupDocs.Search Java oktatóanyagok
+
+Üdvözöljük a **keresési index létrehozása** központjában, ahol a GroupDocs.Search for Java segítségével fejlett keresési funkciókat nyithat meg. Akár **dátumtartomány lekérdezések** megvalósítását, **fájl kiterjesztés szűrés Java** alkalmazását, vagy **összetett keresés Java** megoldások építését keresi, ezek az oktatóanyagok lépésről‑lépésre útmutatást, valós példákat és azonnal futtatható kódot nyújtanak. A útmutató végére megérti, hogyan tervezzen erőteljes keresési élményeket, amelyek nagy dokumentumgyűjteményekkel is skálázhatók.
+
+## Hogyan hozhatunk létre keresési indexet a GroupDocs.Search Java‑val?
+
+Egy robusztus keresési index felépítése bármely kifinomult keresési funkció alapja. Az alábbi oktatóanyagokban megtudja, hogyan:
+
+* Hatékonyan állítson be egy indexet és adjon hozzá dokumentumokat.
+* Használjon metaadatokat és attribútumokat a keresési eredmények gazdagításához.
+* Alkalmazzon szűrőket, például **document filtering java** és **file extension filtering java**, a találatok szűkítéséhez.
+* Hajtson végre **complex search java** lekérdezéseket, amelyek több kritériumot kombinálnak, beleértve a **implement date range** korlátozásokat.
+
+## Elérhető oktatóanyagok
+
+### [Chunk-alapú dokumentumkeresés Java: Átfogó útmutató a GroupDocs.Search használatához](./groupdocs-search-java-chunk-based-search-tutorial/)
+
+### [Faszetált és összetett keresések Java: A GroupDocs.Search mesteri használata fejlett funkciókhoz](./faceted-complex-search-groupdocs-java/)
+
+### [GroupDocs.Search Java megvalósítása: Átfogó indexelési és jelentéskészítési útmutató](./groupdocs-search-java-index-report-guide/)
+
+### [Dátumtartomány keresések mesterfokon Java‑ban GroupDocs.Search‑szal](./master-date-range-searches-groupdocs-java/)
+
+### [GroupDocs.Search Java mesterfokon: Fejlett keresési funkciók a hatékony adatlekérdezéshez](./groupdocs-search-java-advanced-search-features/)
+
+### [Java fájlszűrés mesterfokon a GroupDocs.Search: Lépésről‑lépésre útmutató](./master-java-file-filtering-groupdocs-search/)
+
+### [GroupDocs.Search Java‑hoz mesterfokon: Teljes útmutató a dokumentum indexeléshez és kereséshez](./groupdocs-search-java-implementation-guide/)
+
+## További források
+
+- [GroupDocs.Search for Java dokumentáció](https://docs.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java API referencia](https://reference.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java letöltése](https://releases.groupdocs.com/search/java/)
+- [GroupDocs.Search fórum](https://forum.groupdocs.com/c/search)
+- [Ingyenes támogatás](https://forum.groupdocs.com/)
+- [Ideiglenes licenc](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Utolsó frissítés:** 2025-12-16
+**Szerző:** GroupDocs
\ No newline at end of file
diff --git a/content/hungarian/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/hungarian/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,256 @@
+---
+date: '2025-12-16'
+description: Tanulja meg, hogyan hozhat létre keresőindexet Java-ban, és valósítsa
+ meg a facettált és összetett kereséseket a GroupDocs.Search használatával, növelve
+ a keresési teljesítményt és a felhasználói élményt.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Keresési index létrehozása Java-ban – Faszetált és összetett keresések
+type: docs
+url: /hu/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Keresési index létrehozása Java‑ban – Facettált és összetett keresések
+
+Egy erőteljes **search experience** megvalósítása Java‑ban ijesztőnek tűnhet, különösen, ha **create search index Java** projekteket kell létrehozni, amelyek nagy dokumentumgyűjteményeket kezelnek. Szerencsére a **GroupDocs.Search for Java** gazdag API‑t biztosít, amely lehetővé teszi facettált és összetett lekérdezések felépítését néhány kódsorral. Ebben az útmutatóban megtudja, hogyan állítsa be a könyvtárat, **create a search index Java**, dokumentumok hozzáadását, valamint egyszerű facettált keresések és kifinomult többkritériumos lekérdezések futtatását.
+
+## Gyors válaszok
+- **Mi az a facettált keresés?** A módja annak, hogy az eredményeket előre meghatározott kategóriák (pl. fájltípus, dátum) szerint szűrjük.
+- **Hogyan hozhatok létre egy search index Java‑t?** Inicializáljon egy `Index` objektumot, amely egy mappára mutat, és adjon hozzá dokumentumokat.
+- **Kombinálhatok több kritériumot?** Igen—használjon objektumalapú lekérdezéseket vagy Boolean operátorokat egy szöveges lekérdezésben.
+- **Szükségem van licencre?** Egy ingyenes próba a fejlesztéshez megfelelő; egy kereskedelmi licenc eltávolítja a korlátozásokat.
+- **Melyik IDE a legjobb?** Bármely Java IDE (IntelliJ IDEA, Eclipse, NetBeans) megfelelő.
+
+## Mi az a “create search index java”?
+A search index létrehozása Java‑ban azt jelenti, hogy egy kereshető adatstruktúrát építünk, amely tárolja a dokumentum metaadatait és tartalmát, lehetővé téve a gyors visszakeresést a felhasználói lekérdezések alapján. A GroupDocs.Search esetén az index a lemezen tárolódik, fokozatosan frissíthető, és támogatja a fejlett funkciókat, mint a facettálás és az összetett Boolean logika.
+
+## Miért használjuk a GroupDocs.Search‑t facettált és összetett lekérdezésekhez?
+- **Out‑of‑the‑box faceting** – Beépített facettálás – szűrés mezők szerint, például fájlnév, méret vagy egyéni metaadatok.
+- **Rich query language** – Gazdag lekérdezési nyelv – szöveg, kifejezés és mező lekérdezések keverése AND/OR/NOT operátorokkal.
+- **Scalable performance** – Skálázható teljesítmény – milliók dokumentumait indexeli, miközben alacsony keresési késleltetést tart.
+- **Pure Java** – Tiszta Java – nincs natív függőség, bármely JDK 8+ környezetben működik.
+
+## Előkövetelmények
+
+Mielőtt belemerülnénk, győződjön meg róla, hogy a következőkkel rendelkezik:
+
+- **JDK 8 or newer** – JDK 8 vagy újabb telepítve és konfigurálva az IDE‑ben.
+- **Maven** (or Gradle) – Maven (vagy Gradle) a függőségkezeléshez.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Basic familiarity with Java OOP concepts and Maven project structure – Alapvető ismeretek a Java OOP koncepciókról és a Maven projekt struktúráról.
+
+## A GroupDocs.Search beállítása Java‑hoz
+
+### Maven beállítás
+Adja hozzá a tárolót és a függőséget a `pom.xml` fájlhoz:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Közvetlen letöltés
+Alternatívaként töltse le a legújabb JAR‑t a hivatalos kiadási oldalról:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Licenc beszerzése
+A teljes funkcionalitás feloldásához:
+
+1. **Free trial** – Ingyenes próba – tökéletes fejlesztéshez és teszteléshez.
+2. **Temporary evaluation license** – Ideiglenes értékelő licenc – meghosszabbítja a próba korlátait.
+3. **Commercial license** – Kereskedelmi licenc – eltávolítja az összes korlátozást a termelési használathoz.
+
+### Alap inicializálás és beállítás
+Az alábbi kódrészlet bemutatja, hogyan **create a search index Java** a `Index` osztály példányosításával:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Az index elkészültével áttérhetünk a valós környezetben használható facettált és összetett lekérdezésekre.
+
+## Hogyan hozhatunk létre search index java – Egyszerű facettált keresés
+
+A facettált keresés lehetővé teszi a felhasználók számára, hogy az eredményeket előre meghatározott kategóriák (facettek) értékeinek kiválasztásával szűkítsék. Az alábbiakban lépésről‑lépésre bemutatjuk.
+
+### 1. lépés: Index létrehozása
+Először irányítsa a `Index`‑et egy mappára, ahol az indexfájlok tárolódnak.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### 2. lépés: Dokumentumok hozzáadása az indexhez
+Adja meg a GroupDocs.Search‑nek, hol találhatók a forrásdokumentumok. Minden támogatott fájltípus (PDF, DOCX, TXT, stb.) automatikusan indexálva lesz.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### 3. lépés: Keresés a Content mezőben szöveges lekérdezéssel
+Egy gyors szöveges lekérdezés a `content` mező szerint szűri. A `content: Pellentesque` szintaxis csak azokat a dokumentumokat adja vissza, amelyek a szövegtestben tartalmazzák a *Pellentesque* szót.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### 4. lépés: Keresés objektumalapú lekérdezéssel
+Az objektumalapú lekérdezések finomhangolt vezérlést biztosítanak. Itt egy szó lekérdezést építünk, mezőlekérdezésbe ágyazzuk, majd végrehajtjuk.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Hogyan hozhatunk létre search index java – Összetett lekérdezés keresés
+
+Az összetett lekérdezések több mezőt, Boolean operátorokat és kifejezés kereséseket kombinálnak. Ez ideális olyan helyzetekben, mint az e‑commerce szűrők vagy a jogi dokumentumok kutatása.
+
+### 1. lépés: Index létrehozása összetett lekérdezésekhez
+Használja újra ugyanazt a mappaszerkezetet; az indexet megoszthatja egyszerű és összetett forgatókönyvek között is.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### 2. lépés: Keresés szöveges lekérdezéssel
+Az alábbi lekérdezés olyan fájlokat keres, amelyek neve *lorem* **és** *ipsum* **vagy** a tartalom tartalmazza a két pontos kifejezést.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### 3. lépés: Keresés objektumalapú lekérdezéssel
+Az objektumalapú felépítés tükrözi a szöveges lekérdezést, de típusbiztonságot és IDE‑támogatást biztosít.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Gyakorlati alkalmazások facettált és összetett keresésekhez
+
+| Forgatókönyv | Hogyan segít a facettálás | Példa lekérdezés |
+|--------------|---------------------------|------------------|
+| **E‑commerce katalógus** | Szűrés kategória, ár, márka szerint | `category: Electronics AND price:[100 TO 500]` |
+| **Jogi dokumentum tároló** | Szűrés ügyiratszám, joghatóság szerint | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Kutatási archívumok** | Szerző, publikációs év és kulcsszavak kombinálása | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Vállalati intranet** | Keresés fájltípus és részleg szerint | `filetype: pdf AND department: HR` |
+
+## Gyakori hibák és hibaelhárítás
+
+- **Empty results** – Üres eredmények – Ellenőrizze, hogy a dokumentumok sikeresen hozzá lettek-e adva (`index.getDocumentCount()` segíthet).
+- **Stale index** – Elavult index – Fájlok hozzáadása vagy eltávolítása után hívja meg a `index.update()`‑t, hogy az index szinkronban legyen.
+- **Incorrect field names** – Helytelen mezőnevek – Használja a `CommonFieldNames` konstansokat (`Content`, `FileName`, stb.) a gépelési hibák elkerülése érdekében.
+- **Performance bottlenecks** – Teljesítmény szűk keresztmetszet – Nagy gyűjtemények esetén fontolja meg a `index.setCacheSize()` engedélyezését vagy egy dedikált SSD használatát az index mappához.
+
+## Gyakran feltett kérdések
+
+**Q: Használhatom a GroupDocs.Search‑t Spring Boot‑tal?**
+A: Természetesen. Csak adja hozzá a Maven függőséget, konfigurálja az indexet Spring bean‑ként, és injektálja ahol szükséges.
+
+**Q: Támogatja a könyvtár az egyéni metaadatmezőket?**
+A: Igen – a indexelés során felhasználó által definiált mezőket adhat hozzá, majd azokon facettálhat.
+
+**Q: Mekkora lehet az index mérete?**
+A: Az index lemezen alapul, és milliók dokumentumát képes kezelni; csak biztosítsa a megfelelő tárhelyet és figyelje a gyorsítótár beállításait.
+
+**Q: Van mód a találatok relevancia szerinti rangsorolására?**
+A: A GroupDocs.Search automatikusan pontszámot ad a találatoknak; a pontszámot a `SearchResult.getDocument(i).getScore()`‑val kérdezheti le.
+
+**Q: Mi történik, ha titkosított PDF‑eket indexel?**
+A: Adja meg a jelszót a dokumentum hozzáadásakor: `index.add(filePath, password)`.
+
+## Következtetés
+
+Most már magabiztosan **create a search index Java** a GroupDocs.Search‑szal, dokumentumok hozzáadásával, valamint egyszerű facettált lekérdezések és kifinomult Boolean keresések megalkotásával. Ezek a lehetőségek lehetővé teszik, hogy gyors, pontos és felhasználóbarát keresési élményeket nyújtson számos alkalmazásban – az e‑commerce platformoktól a vállalati tudásbázisokig.
+
+Készen áll a következő lépésre? Fedezze fel a **GroupDocs.Search** fejlett funkcióit, mint a **kiemelés**, **javaslatok**, és a **valós‑idejű indexelés**, hogy tovább növelje alkalmazása keresési erejét.
+
+---
+
+**Legutóbb frissítve:** 2025-12-16
+**Tesztelve ezzel:** GroupDocs.Search 25.4 for Java
+**Szerző:** GroupDocs
\ No newline at end of file
diff --git a/content/hungarian/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/hungarian/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/hungarian/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
@@ -0,0 +1,248 @@
+---
+date: '2025-12-16'
+description: Tanulja meg, hogyan végezzen dátumtartomány-keresést és más fejlett keresési
+ funkciókat, például facettált keresést Java-ban a GroupDocs.Search for Java használatával,
+ beleértve a hibakezelést és a teljesítményoptimalizálást.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Dátumtartomány keresés és fejlett funkciók'
+type: docs
+url: /hu/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# A GroupDocs.Search Java elsajátítása: Dátumtartomány keresés és haladó funkciók
+
+A mai adat‑központú alkalmazásokban a **date range search** alapvető képesség, amely lehetővé teszi a dokumentumok időszakok szerinti szűrését, jelentősen javítva a relevanciát és a sebességet. Akár megfelelőségi portált, e‑commerce katalógust vagy tartalomkezelő rendszert építesz, a date range search és más erőteljes lekérdezéstípusok elsajátítása rugalmas és robusztus megoldást eredményez. Ez az útmutató végigvezet a hibakezelésen, a lekérdezéstípusok teljes skáláján és a teljesítmény tippeken, mind valós Java kóddal, amelyet egyszerűen másolhatsz‑beilleszthetsz.
+
+## Quick Answers
+- **Mi a date range search?** Olyan dokumentumok szűrése, amelyek dátumai egy megadott kezdő‑vég intervallumban vannak.
+- **Melyik könyvtár biztosítja?** GroupDocs.Search for Java.
+- **Szükségem van licencre?** A fejlesztéshez egy ingyenes próba elegendő; a kereskedelmi használathoz terméklicenc szükséges.
+- **Kombinálhatom más lekérdezésekkel?** Igen — keverheted a date range search‑t boolean, faceted vagy regex lekérdezésekkel.
+- **Gyors-e nagy adathalmazok esetén?** Ha megfelelően indexelt, a keresések almásodperces idő alatt futnak még millió rekord esetén is.
+
+## What is date range search?
+A date range search lehetővé teszi, hogy olyan dokumentumokat találj, amelyek dátumai két határ között vannak, például „2023‑01‑01 ~~ 2023‑12‑31”. Elengedhetetlen jelentésekhez, audit naplókhoz és minden olyan esetben, ahol az időalapú szűrés fontos.
+
+## Why use GroupDocs.Search for Java?
+A GroupDocs.Search egységes API‑t biztosít számos lekérdezéstípushoz — simple, wildcard, faceted, numeric, date range, regex, boolean és phrase — így több könyvtár egyidejű kezelése nélkül építhetsz kifinomult keresési élményt. Az esemény‑alapú hibakezelés pedig ellenállóvá teszi az indexelési folyamatot.
+
+## Prerequisites
+- **GroupDocs.Search Java library** (v25.4 vagy újabb).
+- **Java Development Kit (JDK)** kompatibilis a projekteddel.
+- Maven a függőségkezeléshez (vagy manuális letöltés).
+
+### Required Libraries and Environment Setup
+Add hozzá a GroupDocs tárolót és függőséget a `pom.xml` fájlodhoz:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Alternative Setup
+Közvetlen letöltéshez látogasd meg a [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/) oldalt.
+
+### Licensing and Initial Setup
+Kezdd egy ingyenes próba vagy egy ideiglenes licenc használatával:
+
+- Látogasd meg a [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) oldalt a részletekért.
+
+Most hozzuk létre az index mappát, amely a kereshető adatokat tárolja.
+
+## Setting Up GroupDocs.Search for Java
+
+### Basic Initialization
+Először hozd létre az `Index` objektumot, amely egy lemezen lévő mappára mutat:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Most már van egy átjáród minden keresési művelethez.
+
+## Implementation Guide
+
+### Feature 1: Error Handling in Indexing
+#### How to capture indexing errors (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Miért fontos*: Az `ErrorOccurred` esemény figyelésével naplózhatod a problémákat, újrapróbálhatod a hibás fájlokat, vagy felhívhatod a felhasználók figyelmét anélkül, hogy az egész folyamat összeomlana.
+
+### Feature 2: Simple Search Query
+#### What is a simple search?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Eredmény*: Visszaad minden dokumentumot, amely tartalmazza a **volutpat** kifejezést.
+
+### Feature 3: Wildcard Search Query
+#### How does wildcard search work?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Eredmény*: Mind a **affect**, mind a **effect** kifejezést megtalálja, bemutatva a `?` helyettesítő karakter erejét.
+
+### Feature 4: Faceted Search Query
+#### How to perform faceted search Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Eredmény*: Korlátozza a keresést a **Content** mezőre, ami ideális a metaadatok, például kategória vagy szerző szerinti szűréshez.
+
+### Feature 5: Numeric Range Search Query
+#### How to search numeric ranges
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Eredmény*: Olyan dokumentumokat ad vissza, ahol a numerikus értékek 2000 és 3000 között vannak.
+
+### Feature 6: Date Range Search Query
+#### How to execute date range search
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Magyarázat*: A `SearchOptions` testreszabásával megmondod a motornak, hogy ismerje fel a **MM/DD/YYYY** formátumú dátumokat, majd lekérdezi az összes rekordot 2000. január 1. és 2001. június 15. között.
+
+### Feature 7: Regular Expression Search Query
+#### How to run regex search Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Eredmény*: Megtalálja három vagy több azonos karakterből álló sorozatokat (pl. „aaa”, „111”).
+
+### Feature 8: Boolean Search Query
+#### How to combine conditions with boolean search Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Eredmény*: Visszaadja azokat a dokumentumokat, amelyek tartalmazzák a **justo** szót, de kizárja azokat, amelyekben **3456** is szerepel.
+
+### Feature 9: Complex Boolean Search Query
+#### How to craft advanced boolean queries
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Eredmény*: Olyan fájlneveket keres, amelyek hasonlóak az „English” kifejezéshez (1‑3 karakteres eltérésekkel), **vagy** olyan tartalmat, amely mind a **3456**, mind a **consequat** szavakat tartalmazza.
+
+### Feature 10: Phrase Search Query
+#### How to search exact phrases
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Eredmény*: Csak azokat a dokumentumokat adja vissza, amelyek pontosan a **ipsum dolor sit amet** kifejezést tartalmazzák.
+
+## Practical Applications
+1. **E‑commerce platformok** – Használd a faceted search Java‑t a termékek méret, szín és márka szerinti szűréséhez.
+2. **Tartalomkezelő rendszerek** – Kombináld a boolean search Java‑t a phrase search‑el, hogy fejlett szerkesztői eszközöket biztosíts.
+3. **Adat-elemző eszközök** – Használd a date range search‑t időalapú jelentések és műszerfalak készítéséhez.
+
+## Common Issues & Solutions
+- **Nincs eredmény a date range search‑hez** – Ellenőrizd, hogy a dokumentumaidban szereplő dátumformátum megegyezik a hozzáadott egyéni `DateFormat`‑tal.
+- **A regex lekérdezések túl sok találatot adnak** – Finomítsd a mintát vagy korlátozd a keresési tartományt további mezőfeltételekkel.
+- **Az indexelési hibák nem kerülnek rögzítésre** – Győződj meg róla, hogy az eseménykezelő **az `index.add(...)` hívás előtt** van csatolva.
+
+## Frequently Asked Questions
+
+**Q: Keverhetem a date range search‑t más lekérdezéstípusokkal?**
+A: Természetesen. Egy date range klauzulát kombinálhatsz boolean operátorokkal, faceted szűrőkkel vagy regex mintákkal egyetlen lekérdezésstringben.
+
+**Q: Újra kell építeni az indexet a dátumformátumok módosítása után?**
+A: Igen. Az index tokenizált kifejezéseket tárol; csak a `SearchOptions` frissítése nem tokenizálja újra a meglévő adatokat. A formátumok módosítása után indexeld újra a dokumentumokat.
+
+**Q: Hogyan kezeli a GroupDocs.Search a nagy indexeket?**
+A: Inkrementális indexelést és lemezen tárolást használ, ami lehetővé teszi, hogy milliók számú dokumentumot is kezelj, miközben alacsony a memóriahasználat.
+
+**Q: Van korlát a helyettesítő karakterek (wildcard) számában?**
+A: A wildcard‑ok hatékonyan feldolgozhatók, de sok vezető wildcard (pl. `*term`) a teljesítményt rontja. Inkább használj előtag vagy utótag wildcard‑ot.
+
+**Q: Melyik licencmodell ajánlott termeléshez?**
+A: A GroupDocs által kínált örökös vagy előfizetéses licenc biztosítja a frissítéseket, a támogatást és a korlátozás nélküli telepítést.
+
+## Conclusion
+A **date range search** és a GroupDocs.Search for Java által kínált fejlett lekérdezéstípusok teljes skálájának elsajátításával rendkívül gyors és funkciógazdag keresési élményeket építhetsz. Valósíts meg robusztus hibakezelést, finomhangold az indexet, és kombináld a lekérdezéseket, hogy szinte bármilyen visszakeresési helyzetet kielégíts. Kezdj el ma kísérletezni, és emeld alkalmazásod adat‑hozzáférési képességeit.
+
+---
+
+**Utolsó frissítés:** 2025-12-16
+**Tesztelve ezzel:** GroupDocs.Search 25.4 (Java)
+**Szerző:** GroupDocs
\ No newline at end of file
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Jelajahi koleksi tutorial GroupDocs.Search untuk pengembang .NET dan
+ Java. Kuasai pengindeksan dokumen, kemampuan pencarian, dan fitur lanjutan dengan
+ mudah.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: Tutorial GroupDocs.Search – Membuka Kekuatan Pencarian Dokumen
+type: docs
+url: /id/
+weight: 11
+---
+
+# Tutorial GroupDocs.Search – Membuka Kekuatan Pencarian Dokumen
+
+Selamat datang di hub **tutorial GroupDocs.Search**, tujuan satu‑hentian Anda untuk menguasai pencarian dokumen dan pengindeksan di platform .NET dan Java. Baik Anda membangun alat internal kecil maupun solusi perusahaan berskala besar, panduan langkah‑demi‑langkah ini akan membantu Anda menerapkan fungsi pencarian yang cepat, akurat, dan dapat diskalakan. Anda akan mempelajari segala hal mulai dari pengindeksan dasar hingga pembuatan kueri yang canggih, sambil memanfaatkan kekuatan penuh GroupDocs.Search.
+
+## Mengapa Menggunakan Tutorial GroupDocs.Search?
+
+Seri tutorial ini dirancang dengan skenario dunia nyata, sehingga Anda dapat dengan cepat menerapkan apa yang Anda pelajari ke proyek Anda. Dengan mengikuti panduan ini Anda akan:
+
+- Mendapatkan pemahaman yang kuat tentang teknik **pengindeksan dokumen**.
+- Mempelajari cara membuat **kemampuan pencarian** yang efisien untuk menangani koleksi dokumen besar.
+- Menjelajahi fitur lanjutan seperti pencarian fuzzy, penyorotan, dan jaringan pencarian terdistribusi.
+- Mengurangi waktu pengembangan dengan instruksi yang jelas dan berbasis contoh untuk lingkungan .NET dan Java.
+
+{{% alert color="primary" %}}
+Jelajahi kemampuan pencarian dokumen yang kuat di .NET dengan tutorial GroupDocs.Search. Dari pengindeksan dasar hingga teknik pencarian lanjutan, tutorial kami menawarkan panduan komprehensif untuk pengembang di semua tingkat keahlian. Selami berbagai topik seperti pencarian boolean, pencarian fuzzy, penyorotan, manajemen kamus, dan solusi pencarian terdistribusi, membuka potensi penuh GroupDocs.Search untuk .NET. Tingkatkan fungsi pencarian aplikasi Anda dan permudah penemuan dokumen dengan tutorial kami yang mudah diikuti.
+{{% /alert %}}
+
+## Tutorial GroupDocs.Search untuk .NET
+
+### Tutorial Pencarian .NET Esensial
+
+- [Pengindeksan](./net/indexing/)
+- [Pencarian](./net/searching/)
+- [Penyorotan](./net/highlighting/)
+- [Kamus & Pemrosesan Bahasa](./net/dictionaries-language-processing/)
+- [Manajemen Dokumen](./net/document-management/)
+- [OCR & Pencarian Gambar](./net/ocr-image-search/)
+- [Fitur Lanjutan](./net/advanced-features/)
+- [Jaringan Pencarian](./net/search-network/)
+- [Optimasi Kinerja](./net/performance-optimization/)
+- [Penanganan Eksepsi & Logging](./net/exception-handling-logging/)
+- [Integrasi & Interoperabilitas](./net/integration-interoperability/)
+- [Lisensi & Konfigurasi](./net/licensing-configuration/)
+- [Ekstraksi & Pemrosesan Teks](./net/text-extraction-processing/)
+- [Kueri & Pembuatan Kueri](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Temukan tutorial komprehensif untuk GroupDocs.Search di Java. Dari teknik pengindeksan dasar hingga fungsi pencarian lanjutan, panduan langkah‑demi‑langkah kami memberikan pengembang Java pengetahuan untuk mengimplementasikan solusi pencarian dokumen yang kuat. Pelajari cara bekerja dengan berbagai format dokumen termasuk PDF, Word, Excel, presentasi, dan lainnya. Kuasai teknik pembuatan indeks, melakukan berbagai jenis pencarian, menyorot hasil, dan mengoptimalkan kinerja untuk meningkatkan aplikasi Java Anda dengan kemampuan pencarian yang tangguh.
+{{% /alert %}}
+
+## Tutorial GroupDocs.Search untuk Java
+
+### Tutorial Pencarian Java Esensial
+
+- [Memulai](./java/getting-started/)
+- [Pengindeksan](./java/indexing/)
+- [Pencarian](./java/searching/)
+- [Penyorotan](./java/highlighting/)
+- [Kamus & Pemrosesan Bahasa](./java/dictionaries-language-processing/)
+- [Manajemen Dokumen](./java/document-management/)
+- [OCR & Pencarian Gambar](./java/ocr-image-search/)
+- [Fitur Lanjutan](./java/advanced-features/)
+- [Jaringan Pencarian](./java/search-network/)
+- [Optimasi Kinerja](.//performance-optimization/)
+- [Penanganan Eksepsi & Logging](./java/exception-handling-logging/)
+- [Lisensi & Konfigurasi](./java/licensing-configuration/)
+- [Ekstraksi & Pemrosesan Teks](./java/text-extraction-processing/)
+
+---
+
+**Terakhir Diperbarui:** 2025-12-16
+**Penulis:** GroupDocs
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diff --git a/content/indonesian/java/advanced-features/_index.md b/content/indonesian/java/advanced-features/_index.md
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+---
+date: 2025-12-16
+description: Pelajari cara membuat indeks pencarian dan menerapkan rentang tanggal,
+ pencarian berfaset, serta penyaringan dokumen dengan tutorial GroupDocs.Search Java.
+title: 'Buat Indeks Pencarian - Tutorial Java GroupDocs.Search'
+type: docs
+url: /id/java/advanced-features/
+weight: 8
+---
+
+# Buat Indeks Pencarian: Tutorial GroupDocs.Search Java
+
+Selamat datang di pusat untuk **membuat indeks pencarian** dan membuka kemampuan pencarian lanjutan dengan GroupDocs.Search untuk Java. Apakah Anda ingin **menerapkan rentang tanggal** query, menerapkan **penyaringan ekstensi file Java**, atau membangun solusi **pencarian kompleks Java**, tutorial ini memberikan panduan langkah‑demi‑langkah, contoh dunia nyata, dan kode siap‑jalankan. Pada akhir panduan ini Anda akan memahami cara merancang pengalaman pencarian yang kuat yang dapat diskalakan dengan koleksi dokumen besar.
+
+## Cara membuat indeks pencarian dengan GroupDocs.Search Java?
+
+* Siapkan indeks dan tambahkan dokumen secara efisien.
+* Gunakan metadata dan atribut untuk memperkaya hasil pencarian.
+* Terapkan filter seperti **document filtering java** dan **file extension filtering java** untuk mempersempit hasil.
+* Jalankan kueri **complex search java** yang menggabungkan beberapa kriteria, termasuk batasan **implement date range**.
+
+## Tutorial yang Tersedia
+
+### [Pencarian Dokumen Berbasis Chunk di Java: Panduan Komprehensif Menggunakan GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Pelajari cara mengimplementasikan pencarian dokumen berbasis chunk yang efisien dengan GroupDocs.Search untuk Java. Tingkatkan produktivitas dan kelola dataset besar dengan mulus.
+
+### [Pencarian Berfaset dan Kompleks di Java: Kuasai GroupDocs.Search untuk Fitur Lanjutan](./faceted-complex-search-groupdocs-java/)
+Pelajari cara mengimplementasikan pencarian berfaset dan kompleks dalam aplikasi Java menggunakan GroupDocs.Search, meningkatkan fungsionalitas pencarian dan pengalaman pengguna.
+
+### [Implementasi GroupDocs.Search Java: Panduan Komprehensif Pengindeksan dan Pelaporan](./groupdocs-search-java-index-report-guide/)
+Kuasai GroupDocs.Search di Java untuk pengindeksan dokumen dan pelaporan yang efisien. Pelajari cara membuat indeks, menambahkan dokumen, dan menghasilkan laporan dengan panduan terperinci ini.
+
+### [Kuasai Pencarian Rentang Tanggal di Java dengan GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Tutorial kode untuk GroupDocs.Search Java
+
+### [Kuasai GroupDocs.Search Java: Fitur Pencarian Lanjutan untuk Pengambilan Data yang Efisien](./groupdocs-search-java-advanced-search-features/)
+Pelajari cara menguasai fitur pencarian lanjutan di GroupDocs.Search untuk Java, termasuk penanganan error, berbagai tipe query, dan optimasi kinerja.
+
+### [Kuasai Penyaringan File Java Menggunakan GroupDocs.Search: Panduan Langkah‑per‑Langkah](./master-java-file-filtering-groupdocs-search/)
+Pelajari cara mengelola dan menyaring file secara efisien di Java menggunakan GroupDocs.Search, termasuk penyaringan ekstensi file, operator logika, dan lainnya.
+
+### [Menguasai GroupDocs.Search untuk Java: Panduan Lengkap Anda untuk Pengindeksan Dokumen dan Pencarian](./groupdocs-search-java-implementation-guide/)
+Pelajari cara mengimplementasikan GroupDocs.Search di Java dengan panduan komprehensif ini. Temukan ekstraksi teks yang kuat, serialisasi, pengindeksan, dan fitur pencarian.
+
+## Sumber Daya Tambahan
+
+- [Dokumentasi GroupDocs.Search untuk Java](https://docs.groupdocs.com/search/java/)
+- [Referensi API GroupDocs.Search untuk Java](https://reference.groupdocs.com/search/java/)
+- [Unduh GroupDocs.Search untuk Java](https://releases.groupdocs.com/search/java/)
+- [Forum GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [Dukungan Gratis](https://forum.groupdocs.com/)
+- [Lisensi Sementara](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Terakhir Diperbarui:** 2025-12-16
+**Penulis:** GroupDocs
\ No newline at end of file
diff --git a/content/indonesian/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/indonesian/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
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+---
+date: '2025-12-16'
+description: Pelajari cara membuat indeks pencarian Java dan mengimplementasikan pencarian
+ berfaset serta kompleks menggunakan GroupDocs.Search, meningkatkan kinerja pencarian
+ dan pengalaman pengguna.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Buat Indeks Pencarian Java – Pencarian Berfaset & Kompleks
+type: docs
+url: /id/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Buat Indeks Pencarian Java – Pencarian Berfaset & Kompleks
+
+Mengimplementasikan **pengalaman pencarian** yang kuat di Java dapat terasa menakutkan, terutama ketika Anda perlu **membuat indeks pencarian Java** proyek yang menangani koleksi dokumen besar. Untungnya, **GroupDocs.Search for Java** menyediakan API yang kaya yang memungkinkan Anda membangun kueri berfaset dan kompleks dengan hanya beberapa baris kode. Dalam tutorial ini Anda akan menemukan cara menyiapkan pustaka, **membuat indeks pencarian Java**, menambahkan dokumen, dan menjalankan pencarian berfaset sederhana serta kueri multi‑kriteria yang canggih.
+
+## Jawaban Cepat
+- **Apa itu pencarian berfaset?** Cara menyaring hasil berdasarkan kategori yang telah ditentukan (mis., tipe file, tanggal).
+- **Bagaimana cara membuat indeks pencarian Java?** Inisialisasi objek `Index` yang menunjuk ke folder dan tambahkan dokumen.
+- **Bisakah saya menggabungkan beberapa kriteria?** Ya—gunakan kueri berbasis objek atau operator Boolean dalam kueri teks.
+- **Apakah saya memerlukan lisensi?** Versi percobaan gratis cukup untuk pengembangan; lisensi komersial menghapus batasan.
+- **IDE mana yang paling cocok?** Semua IDE Java (IntelliJ IDEA, Eclipse, NetBeans) berfungsi dengan baik.
+
+## Apa itu “create search index java”?
+Membuat indeks pencarian di Java berarti membangun struktur data yang dapat dicari yang menyimpan metadata dokumen dan kontennya, memungkinkan pengambilan cepat berdasarkan kueri pengguna. Dengan GroupDocs.Search, indeks disimpan di disk, dapat diperbarui secara inkremental, dan mendukung fitur lanjutan seperti faset dan logika Boolean kompleks.
+
+## Mengapa menggunakan GroupDocs.Search untuk kueri berfaset dan kompleks?
+- **Faseting siap pakai** – menyaring berdasarkan bidang seperti nama file, ukuran, atau metadata khusus.
+- **Bahasa kueri kaya** – menggabungkan kueri teks, frasa, dan bidang menggunakan operator AND/OR/NOT.
+- **Kinerja skalabel** – mengindeks jutaan dokumen sambil menjaga latensi pencarian tetap rendah.
+- **Java murni** – tanpa dependensi native, berfungsi di platform apa pun yang menjalankan JDK 8+.
+
+## Prasyarat
+
+Sebelum kita mulai, pastikan Anda memiliki hal berikut:
+
+- **JDK 8 atau lebih baru** terpasang dan dikonfigurasi di IDE Anda.
+- **Maven** (atau Gradle) untuk manajemen dependensi.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Familiaritas dasar dengan konsep OOP Java dan struktur proyek Maven.
+
+## Menyiapkan GroupDocs.Search untuk Java
+
+### Pengaturan Maven
+Tambahkan repositori dan dependensi ke file `pom.xml` Anda:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Unduhan Langsung
+Sebagai alternatif, unduh JAR terbaru dari halaman rilis resmi:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Akuisisi Lisensi
+Untuk membuka semua fungsi:
+
+1. **Uji coba gratis** – sempurna untuk pengembangan dan pengujian.
+2. **Lisensi evaluasi sementara** – memperpanjang batas uji coba.
+3. **Lisensi komersial** – menghapus semua pembatasan untuk penggunaan produksi.
+
+### Inisialisasi dan Penyiapan Dasar
+Potongan kode berikut menunjukkan cara **membuat indeks pencarian Java** dengan menginstansiasi kelas `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Dengan indeks siap, kita dapat melanjutkan ke kueri berfaset dan kompleks dunia nyata.
+
+## Cara membuat search index java – Pencarian Berfaset Sederhana
+
+Pencarian berfaset memungkinkan pengguna akhir mempersempit hasil dengan memilih nilai dari kategori yang telah ditentukan (faset). Berikut adalah panduan langkah demi langkah.
+
+### Langkah 1: Buat Indeks
+Pertama, arahkan `Index` ke folder tempat file indeks akan disimpan.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Langkah 2: Tambahkan Dokumen ke Indeks
+Beritahu GroupDocs.Search di mana dokumen sumber Anda berada. Semua tipe file yang didukung (PDF, DOCX, TXT, dll.) akan diindeks secara otomatis.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Langkah 3: Lakukan Pencarian di Kolom Konten dengan Kueri Teks
+Kueri teks cepat menyaring berdasarkan kolom `content`. Sintaks `content: Pellentesque` membatasi hasil ke dokumen yang mengandung kata *Pellentesque* dalam teks utama mereka.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Langkah 4: Lakukan Pencarian Menggunakan Kueri Objek
+Kueri berbasis objek memberi Anda kontrol yang lebih halus. Di sini kami membangun kueri kata, membungkusnya dalam kueri bidang, dan mengeksekusinya.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Cara membuat search index java – Pencarian Kueri Kompleks
+
+Kueri kompleks menggabungkan beberapa bidang, operator Boolean, dan pencarian frasa. Ini ideal untuk skenario seperti filter e‑commerce atau penelitian dokumen hukum.
+
+### Langkah 1: Buat Indeks untuk Kueri Kompleks
+Gunakan kembali struktur folder yang sama; Anda dapat berbagi indeks antara skenario sederhana dan kompleks.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Langkah 2: Lakukan Pencarian dengan Kueri Teks
+Kueri berikut mencari file yang bernama *lorem* **dan** *ipsum* **atau** konten yang mengandung salah satu dari dua frasa tepat.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Langkah 3: Lakukan Pencarian dengan Kueri Objek
+Konstruksi berbasis objek mencerminkan kueri tekstual tetapi menawarkan keamanan tipe dan bantuan IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Aplikasi Praktis Pencarian Berfaset & Kompleks
+
+| Scenario | How Faceting Helps | Example Query |
+|----------|-------------------|---------------|
+| **Katalog E‑commerce** | Filter by category, price, brand | `category: Electronics AND price:[100 TO 500]` |
+| **Repositori Dokumen Hukum** | Narrow by case number, jurisdiction | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Arsip Penelitian** | Combine author, publication year, keywords | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Intranet Perusahaan** | Search by file type and department | `filetype: pdf AND department: HR` |
+
+## Kesalahan Umum & Pemecahan Masalah
+
+- **Hasil kosong** – Pastikan dokumen berhasil ditambahkan (`index.getDocumentCount()` dapat membantu).
+- **Indeks usang** – Setelah menambahkan atau menghapus file, panggil `index.update()` untuk menjaga indeks tetap sinkron.
+- **Nama bidang tidak tepat** – Gunakan konstanta `CommonFieldNames` (`Content`, `FileName`, dll.) untuk menghindari kesalahan ketik.
+- **Bottleneck kinerja** – Untuk koleksi besar, pertimbangkan mengaktifkan `index.setCacheSize()` atau menggunakan SSD khusus untuk folder indeks.
+
+## Pertanyaan yang Sering Diajukan
+
+**Q: Bisakah saya menggunakan GroupDocs.Search dengan Spring Boot?**
+A: Tentu saja. Cukup tambahkan dependensi Maven, konfigurasikan indeks sebagai bean Spring, dan injeksikan di tempat yang diperlukan.
+
+**Q: Apakah pustaka ini mendukung bidang metadata khusus?**
+A: Ya – Anda dapat menambahkan bidang yang didefinisikan pengguna selama proses pengindeksan dan kemudian melakukan faset pada bidang tersebut.
+
+**Q: Seberapa besar indeks dapat tumbuh?**
+A: Indeks berbasis disk dan dapat menangani jutaan dokumen; pastikan penyimpanan cukup dan pantau pengaturan cache.
+
+**Q: Apakah ada cara untuk memberi peringkat hasil berdasarkan relevansi?**
+A: GroupDocs.Search secara otomatis memberi skor pada kecocokan; Anda dapat mengambil skor melalui `SearchResult.getDocument(i).getScore()`.
+
+**Q: Apa yang terjadi jika saya mengindeks PDF terenkripsi?**
+A: Berikan kata sandi saat menambahkan dokumen: `index.add(filePath, password)`.
+
+## Kesimpulan
+
+Sekarang Anda seharusnya merasa nyaman **membuat indeks pencarian Java** dengan GroupDocs.Search, menambahkan dokumen, dan menyusun baik kueri berfaset sederhana maupun pencarian Boolean yang canggih. Kemampuan ini memungkinkan Anda memberikan pengalaman pencarian yang cepat, akurat, dan ramah pengguna di berbagai aplikasi—dari platform e‑commerce hingga basis pengetahuan perusahaan.
+
+Siap untuk langkah berikutnya? Jelajahi fitur lanjutan **GroupDocs.Search** seperti **penyorotan**, **saran**, dan **pengindeksan waktu nyata** untuk lebih meningkatkan kekuatan pencarian aplikasi Anda.
+
+**Terakhir Diperbarui:** 2025-12-16
+**Diuji Dengan:** GroupDocs.Search 25.4 untuk Java
+**Penulis:** GroupDocs
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diff --git a/content/indonesian/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/indonesian/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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+---
+date: '2025-12-16'
+description: Pelajari cara melakukan pencarian rentang tanggal dan fitur pencarian
+ lanjutan lainnya seperti pencarian berfaset Java menggunakan GroupDocs.Search untuk
+ Java, termasuk penanganan kesalahan dan optimisasi kinerja.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Pencarian Rentang Tanggal & Fitur Lanjutan'
+type: docs
+url: /id/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Menguasai GroupDocs.Search Java: Pencarian Rentang Tanggal & Fitur Lanjutan
+
+Dalam aplikasi yang didorong oleh data saat ini, **date range search** adalah kemampuan inti yang memungkinkan Anda menyaring dokumen berdasarkan periode waktu, secara dramatis meningkatkan relevansi dan kecepatan. Baik Anda membangun portal kepatuhan, katalog e‑commerce, atau sistem manajemen konten, menguasai date range search bersama jenis kueri kuat lainnya akan membuat solusi Anda fleksibel dan tangguh. Panduan ini membawa Anda melalui penanganan error, rangkaian lengkap jenis kueri, dan tips kinerja, semuanya dengan kode Java nyata yang dapat Anda salin‑tempel.
+
+## Jawaban Cepat
+- **Apa itu date range search?** Menyaring dokumen yang berisi tanggal dalam interval mulai‑hingga‑akhir yang ditentukan.
+- **Perpustakaan mana yang menyediakannya?** GroupDocs.Search for Java.
+- **Apakah saya memerlukan lisensi?** Versi percobaan gratis dapat digunakan untuk pengembangan; lisensi produksi diperlukan untuk penggunaan komersial.
+- **Bisakah saya menggabungkannya dengan kueri lain?** Ya—gabungkan rentang tanggal dengan kueri boolean, faceted, atau regex.
+- **Apakah cepat untuk dataset besar?** Ketika diindeks dengan benar, pencarian berjalan dalam waktu kurang dari satu detik bahkan pada jutaan catatan.
+
+## Apa itu date range search?
+Date range search memungkinkan Anda menemukan dokumen yang berisi tanggal yang berada di antara dua batas, seperti “2023‑01‑01 ~~ 2023‑12‑31”. Ini penting untuk laporan, log audit, dan skenario apa pun di mana penyaringan berbasis waktu penting.
+
+## Mengapa menggunakan GroupDocs.Search untuk Java?
+GroupDocs.Search menawarkan API terpadu untuk banyak jenis kueri—simple, wildcard, faceted, numeric, date range, regex, boolean, dan phrase—sehingga Anda dapat membangun pengalaman pencarian canggih tanpa harus mengelola banyak pustaka. Penanganan error berbasis event juga menjaga pipeline pengindeksan Anda tetap tahan banting.
+
+## Prasyarat
+- **GroupDocs.Search Java library** (v25.4 atau lebih baru).
+- **Java Development Kit (JDK)** yang kompatibel dengan proyek Anda.
+- Maven untuk manajemen dependensi (atau unduhan manual).
+
+### Perpustakaan dan Penyiapan Lingkungan yang Diperlukan
+Tambahkan repositori GroupDocs dan dependensi ke `pom.xml` Anda:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Penyiapan Alternatif
+Untuk unduhan langsung, kunjungi [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Lisensi dan Penyiapan Awal
+Mulailah dengan percobaan gratis atau lisensi sementara:
+
+- Kunjungi [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) untuk detail.
+
+Sekarang mari buat folder indeks yang akan menyimpan data yang dapat dicari.
+
+## Menyiapkan GroupDocs.Search untuk Java
+
+### Inisialisasi Dasar
+Pertama, buat objek `Index` yang menunjuk ke folder di disk:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Anda sekarang memiliki gerbang ke semua operasi pencarian.
+
+## Panduan Implementasi
+
+### Fitur 1: Penanganan Error saat Pengindeksan
+#### Cara menangkap error pengindeksan (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Why it matters*: Dengan mendengarkan `ErrorOccurred`, Anda dapat mencatat masalah, mencoba kembali file yang gagal, atau memberi peringatan kepada pengguna tanpa menghentikan seluruh proses.
+
+### Fitur 2: Kueri Pencarian Sederhana
+#### Apa itu pencarian sederhana?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Result*: Mengembalikan setiap dokumen yang berisi istilah **volutpat**.
+
+### Fitur 3: Kueri Pencarian Wildcard
+#### Bagaimana cara kerja pencarian wildcard?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Result*: Cocok dengan **affect** dan **effect**, menunjukkan kekuatan placeholder `?`.
+
+### Fitur 4: Kueri Pencarian Faceted
+#### Cara melakukan pencarian faceted Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Result*: Membatasi pencarian ke bidang **Content**, ideal untuk menyaring berdasarkan metadata seperti kategori atau penulis.
+
+### Fitur 5: Kueri Pencarian Rentang Numerik
+#### Cara mencari rentang numerik
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Result*: Mengambil dokumen di mana nilai numerik berada antara 2000 dan 3000.
+
+### Fitur 6: Kueri Pencarian Rentang Tanggal
+#### Cara mengeksekusi pencarian rentang tanggal
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Explanation*: Dengan menyesuaikan `SearchOptions`, Anda memberi tahu mesin untuk mengenali tanggal dalam format **MM/DD/YYYY**, kemudian mengambil semua catatan antara 1 Januari 2000 dan 15 Juni 2001.
+
+### Fitur 7: Kueri Pencarian Ekspresi Reguler
+#### Cara menjalankan pencarian regex Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Result*: Menemukan urutan tiga atau lebih karakter yang sama (mis., “aaa”, “111”).
+
+### Fitur 8: Kueri Pencarian Boolean
+#### Cara menggabungkan kondisi dengan pencarian boolean Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Result*: Mengembalikan dokumen yang berisi **justo** tetapi mengecualikan yang juga berisi **3456**.
+
+### Fitur 9: Kueri Boolean Kompleks
+#### Cara menyusun kueri boolean lanjutan
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Result*: Mencari nama file yang mirip dengan “English” (memungkinkan variasi 1‑3 karakter) **atau** konten yang berisi **3456** dan **consequat**.
+
+### Fitur 10: Kueri Pencarian Frasa
+#### Cara mencari frasa tepat
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Result*: Mengambil hanya dokumen yang berisi frasa tepat **ipsum dolor sit amet**.
+
+## Aplikasi Praktis
+1. **E‑commerce Platforms** – Gunakan faceted search Java untuk menyaring produk berdasarkan ukuran, warna, dan merek.
+2. **Content Management Systems** – Gabungkan boolean search Java dengan pencarian frasa untuk memperkuat alat editorial yang canggih.
+3. **Data Analysis Tools** – Manfaatkan date range search untuk menghasilkan laporan dan dasbor berbasis waktu.
+
+## Masalah Umum & Solusi
+- **Tidak ada hasil untuk date range search** – Pastikan format tanggal dalam dokumen Anda cocok dengan `DateFormat` khusus yang Anda tambahkan.
+- **Query regex mengembalikan terlalu banyak hasil** – Perbaiki pola atau batasi ruang lingkup pencarian dengan kualifikasi bidang tambahan.
+- **Error pengindeksan tidak tertangkap** – Pastikan event handler terpasang **sebelum** memanggil `index.add(...)`.
+
+## Pertanyaan yang Sering Diajukan
+
+**Q: Bisakah saya menggabungkan date range search dengan jenis kueri lain?**
+A: Tentu saja. Anda dapat menggabungkan klausa rentang tanggal dengan operator boolean, filter faceted, atau pola regex dalam satu string kueri.
+
+**Q: Apakah saya perlu membangun ulang indeks setelah mengubah format tanggal?**
+A: Ya. Indeks menyimpan istilah yang ditokenisasi; memperbarui `SearchOptions` saja tidak akan men-tokenisasi ulang data yang ada. Lakukan re‑indeks pada dokumen setelah mengubah format.
+
+**Q: Bagaimana GroupDocs.Search menangani indeks besar?**
+A: Ia menggunakan pengindeksan inkremental dan penyimpanan di disk, memungkinkan Anda menskalakan hingga jutaan dokumen sambil menjaga penggunaan memori tetap rendah.
+
+**Q: Apakah ada batasan jumlah karakter wildcard?**
+A: Wildcard diproses secara efisien, tetapi penggunaan banyak wildcard di awal (mis., `*term`) dapat menurunkan kinerja. Lebih baik gunakan wildcard prefiks atau sufiks.
+
+**Q: Model lisensi apa yang direkomendasikan untuk produksi?**
+A: Lisensi perpetual atau berlangganan dari GroupDocs memastikan Anda menerima pembaruan, dukungan, dan kemampuan untuk menerapkan tanpa batasan percobaan.
+
+## Kesimpulan
+Dengan menguasai **date range search** dan rangkaian lengkap jenis kueri lanjutan yang ditawarkan oleh GroupDocs.Search untuk Java, Anda dapat membangun pengalaman pencarian yang sangat responsif dan kaya fitur. Terapkan penanganan error yang kuat, sesuaikan indeks Anda, dan gabungkan kueri untuk memenuhi hampir semua skenario pengambilan. Mulailah bereksperimen hari ini dan tingkatkan kemampuan akses data aplikasi Anda.
+
+---
+
+**Terakhir Diperbarui:** 2025-12-16
+**Diuji Dengan:** GroupDocs.Search 25.4 (Java)
+**Penulis:** GroupDocs
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Esplora la raccolta di tutorial di GroupDocs.Search per sviluppatori
+ .NET e Java. Padroneggia l'indicizzazione dei documenti, le capacità di ricerca
+ e le funzionalità avanzate senza sforzo.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: Tutorial di GroupDocs.Search – Sblocca la potenza della ricerca di documenti
+type: docs
+url: /it/
+weight: 11
+---
+
+# Tutorial di GroupDocs.Search – Sblocca la Potenza della Ricerca di Documenti
+
+Benvenuti al hub **GroupDocs.Search tutorial**, la vostra destinazione unica per padroneggiare la ricerca e l'indicizzazione di documenti su piattaforme .NET e Java. Che stiate creando un piccolo strumento interno o una soluzione aziendale su larga scala, queste guide passo‑passo vi aiuteranno a implementare funzionalità di ricerca rapide, accurate e scalabili. Imparerete tutto, dall'indicizzazione di base alla costruzione di query sofisticate, sfruttando al contempo tutta la potenza di GroupDocs.Search.
+
+## Perché utilizzare il tutorial GroupDocs.Search?
+
+La serie di tutorial è progettata tenendo conto di scenari reali, così potrete applicare rapidamente ciò che imparate ai vostri progetti. Seguendo queste guide, voi:
+
+- Acquisire una solida comprensione delle tecniche di **document indexing**.
+- Imparare a creare **search capabilities** efficienti che gestiscono grandi collezioni di documenti.
+- Esplorare funzionalità avanzate come fuzzy search, highlighting e reti di ricerca distribuite.
+- Ridurre i tempi di sviluppo con istruzioni chiare e basate su esempi per ambienti .NET e Java.
+
+{{% alert color="primary" %}}
+Esplorate potenti capacità di ricerca di documenti in .NET con i tutorial GroupDocs.Search. Dall'indicizzazione di base alle tecniche di ricerca avanzate, i nostri tutorial offrono una guida completa per sviluppatori di tutti i livelli di competenza. Approfondite vari argomenti come boolean search, fuzzy search, highlighting, gestione dei dizionari e soluzioni di ricerca distribuite, sbloccando il pieno potenziale di GroupDocs.Search per .NET. Potenziate la funzionalità di ricerca della vostra applicazione e semplificate la scoperta dei documenti con i nostri tutorial facili da seguire.
+{{% /alert %}}
+
+## Tutorial di GroupDocs.Search per .NET
+
+### Tutorial essenziali di ricerca .NET
+
+- [Indicizzazione](./net/indexing/)
+- [Ricerca](./net/searching/)
+- [Evidenziazione](./net/highlighting/)
+- [Dizionari e Elaborazione Linguistica](./net/dictionaries-language-processing/)
+- [Gestione Documenti](./net/document-management/)
+- [OCR e Ricerca Immagini](./net/ocr-image-search/)
+- [Funzionalità Avanzate](./net/advanced-features/)
+- [Rete di Ricerca](./net/search-network/)
+- [Ottimizzazione delle Prestazioni](./net/performance-optimization/)
+- [Gestione delle Eccezioni e Logging](./net/exception-handling-logging/)
+- [Integrazione e Interoperabilità](./net/integration-interoperability/)
+- [Licenze e Configurazione](./net/licensing-configuration/)
+- [Estrazione e Elaborazione Testo](./net/text-extraction-processing/)
+- [Query e Costruzione di Query](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Scoprite tutorial completi per GroupDocs.Search in Java. Dalle tecniche di indicizzazione di base alla funzionalità di ricerca avanzata, le nostre guide passo‑passo forniscono agli sviluppatori Java le conoscenze per implementare soluzioni potenti di ricerca di documenti. Imparate a lavorare con vari formati di documento, tra cui PDF, Word, Excel, presentazioni e altro. Padroneggiate le tecniche per creare indici, eseguire diversi tipi di ricerca, evidenziare i risultati e ottimizzare le prestazioni per migliorare le vostre applicazioni Java con capacità di ricerca robuste.
+{{% /alert %}}
+
+## Tutorial di GroupDocs.Search per Java
+
+### Tutorial essenziali di ricerca Java
+
+- [Introduzione](./java/getting-started/)
+- [Indicizzazione](./java/indexing/)
+- [Ricerca](./java/searching/)
+- [Evidenziazione](./java/highlighting/)
+- [Dizionari e Elaborazione Linguistica](./java/dictionaries-language-processing/)
+- [Gestione Documenti](./java/document-management/)
+- [OCR e Ricerca Immagini](./java/ocr-image-search/)
+- [Funzionalità Avanzate](./java/advanced-features/)
+- [Rete di Ricerca](./java/search-network/)
+- [Ottimizzazione delle Prestazioni](./java/performance-optimization/)
+- [Gestione delle Eccezioni e Logging](./java/exception-handling-logging/)
+- [Licenze e Configurazione](./java/licensing-configuration/)
+- [Estrazione e Elaborazione Testo](./java/text-extraction-processing/)
+
+---
+
+**Ultimo aggiornamento:** 2025-12-16
+**Autore:** GroupDocs
\ No newline at end of file
diff --git a/content/italian/java/advanced-features/_index.md b/content/italian/java/advanced-features/_index.md
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+---
+date: 2025-12-16
+description: Scopri come creare un indice di ricerca e implementare l'intervallo di
+ date, la ricerca a faccette e il filtraggio dei documenti con i tutorial Java di
+ GroupDocs.Search.
+title: 'Crea indice di ricerca - tutorial Java di GroupDocs.Search'
+type: docs
+url: /it/java/advanced-features/
+weight: 8
+---
+
+# Crea indice di ricerca: Tutorial GroupDocs.Search Java
+
+Benvenuti nel centro per **creare un indice di ricerca** e sbloccare funzionalità di ricerca avanzate con GroupDocs.Search per Java. Che tu voglia **implementare intervallo di date** nelle query, applicare **filtraggio estensione file Java**, o costruire soluzioni di **ricerca complessa Java**, questi tutorial ti offrono una guida passo‑passo, esempi reali e codice pronto all'uso. Alla fine di questa guida comprenderai come progettare esperienze di ricerca potenti che scalano con grandi collezioni di documenti.
+
+## Come creare un indice di ricerca con GroupDocs.Search Java?
+
+Costruire un indice di ricerca robusto è la base per qualsiasi funzionalità di ricerca sofisticata. Nei tutorial seguenti vedrai come:
+
+* Configurare un indice e aggiungere documenti in modo efficiente.
+* Utilizzare metadati e attributi per arricchire i risultati di ricerca.
+* Applicare filtri come **document filtering java** e **file extension filtering java** per restringere i risultati.
+* Eseguire query di **complex search java** che combinano più criteri, inclusi i vincoli di **implement date range**.
+
+## Tutorial disponibili
+
+### [Ricerca di documenti basata su chunk in Java: Guida completa all'uso di GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Scopri come implementare ricerche efficienti di documenti basate su chunk con GroupDocs.Search per Java. Migliora la produttività e gestisci grandi set di dati senza problemi.
+
+### [Ricerche facettate e complesse in Java: Padroneggia GroupDocs.Search per funzionalità avanzate](./faceted-complex-search-groupdocs-java/)
+Scopri come implementare ricerche facettate e complesse nelle applicazioni Java usando GroupDocs.Search, migliorando la funzionalità di ricerca e l'esperienza dell'utente.
+
+### [Implementa GroupDocs.Search Java: Guida completa all'indicizzazione e reporting](./groupdocs-search-java-index-report-guide/)
+Padroneggia GroupDocs.Search in Java per un'indicizzazione efficiente dei documenti e reporting. Impara a creare indici, aggiungere documenti e generare report con questa guida dettagliata.
+
+### [Padroneggia le ricerche per intervallo di date in Java con GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Un tutorial di codice per GroupDocs.Search Java
+
+### [Padroneggia GroupDocs.Search Java: Funzionalità di ricerca avanzate per il recupero efficiente dei dati](./groupdocs-search-java-advanced-search-features/)
+Impara a padroneggiare le funzionalità di ricerca avanzate in GroupDocs.Search per Java, includendo la gestione degli errori, vari tipi di query e l'ottimizzazione delle prestazioni.
+
+### [Padroneggia il filtraggio dei file Java usando GroupDocs.Search: Guida passo‑passo](./master-java-file-filtering-groupdocs-search/)
+Scopri come gestire e filtrare efficientemente i file in Java usando GroupDocs.Search, includendo l'estensione dei file, gli operatori logici e altro.
+
+### [Padroneggiare GroupDocs.Search per Java: La tua guida completa all'indicizzazione e ricerca dei documenti](./groupdocs-search-java-implementation-guide/)
+Scopri come implementare GroupDocs.Search in Java con questa guida completa. Scopri l'estrazione robusta di testo, la serializzazione, l'indicizzazione e le funzionalità di ricerca.
+
+## Risorse aggiuntive
+
+- [Documentazione GroupDocs.Search per Java](https://docs.groupdocs.com/search/java/)
+- [Riferimento API GroupDocs.Search per Java](https://reference.groupdocs.com/search/java/)
+- [Download GroupDocs.Search per Java](https://releases.groupdocs.com/search/java/)
+- [Forum GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [Supporto gratuito](https://forum.groupdocs.com/)
+- [Licenza temporanea](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Ultimo aggiornamento:** 2025-12-16
+**Autore:** GroupDocs
\ No newline at end of file
diff --git a/content/italian/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/italian/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/italian/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -0,0 +1,256 @@
+---
+date: '2025-12-16'
+description: Impara a creare un indice di ricerca Java e a implementare ricerche faccettate
+ e complesse usando GroupDocs.Search, migliorando le prestazioni di ricerca e l'esperienza
+ dell'utente.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Crea indice di ricerca Java – Ricerche faccettate e complesse
+type: docs
+url: /it/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Crea un indice di ricerca Java – Ricerche a faccette e complesse
+
+Implementare un'esperienza di **ricerca** potente in Java può sembrare opprimente, soprattutto quando è necessario **creare un indice di ricerca Java** per progetti che gestiscono grandi collezioni di documenti. Fortunatamente, **GroupDocs.Search for Java** offre un'API ricca che consente di costruire query a faccette e complesse con poche righe di codice. In questo tutorial scoprirai come configurare la libreria, **creare un indice di ricerca Java**, aggiungere documenti e eseguire sia ricerche faccettate semplici sia query sofisticate a più criteri.
+
+## Risposte rapide
+- **Che cos'è una ricerca a faccette?** Un modo per filtrare i risultati per categorie predefinite (ad es., tipo di file, data).
+- **Come creo un indice di ricerca Java?** Inizializza un oggetto `Index` che punta a una cartella e aggiungi i documenti.
+- **Posso combinare più criteri?** Sì—usa query basate su oggetti o operatori Booleani in una query di testo.
+- **Ho bisogno di una licenza?** Una prova gratuita è sufficiente per lo sviluppo; una licenza commerciale rimuove i limiti.
+- **Quale IDE è il migliore?** Qualsiasi IDE Java (IntelliJ IDEA, Eclipse, NetBeans) funziona bene.
+
+## Che cos'è “create search index java”?
+Creare un indice di ricerca in Java significa costruire una struttura dati ricercabile che memorizza i metadati e il contenuto dei documenti, consentendo un recupero rapido basato sulle query degli utenti. Con GroupDocs.Search, l'indice risiede su disco, può essere aggiornato in modo incrementale e supporta funzionalità avanzate come le faccette e la logica Boolean complessa.
+
+## Perché usare GroupDocs.Search per query a faccette e complesse?
+- **Faceting pronta all'uso** – filtra per campi come nome file, dimensione o metadati personalizzati.
+- **Linguaggio di query ricco** – combina query di testo, frase e campo usando gli operatori AND/OR/NOT.
+- **Prestazioni scalabili** – indicizza milioni di documenti mantenendo bassa la latenza di ricerca.
+- **Pure Java** – nessuna dipendenza nativa, funziona su qualsiasi piattaforma che esegue JDK 8+.
+
+## Prerequisiti
+
+Prima di iniziare, assicurati di avere quanto segue:
+
+- **JDK 8 o superiore** installato e configurato nel tuo IDE.
+- **Maven** (o Gradle) per la gestione delle dipendenze.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Familiarità di base con i concetti OOP di Java e la struttura di progetto Maven.
+
+## Configurazione di GroupDocs.Search per Java
+
+### Configurazione Maven
+Aggiungi il repository e la dipendenza al tuo file `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Download diretto
+In alternativa, scarica l'ultimo JAR dalla pagina ufficiale di rilascio:
+[Rilasci di GroupDocs.Search per Java](https://releases.groupdocs.com/search/java/)
+
+### Acquisizione della licenza
+Per sbloccare tutte le funzionalità:
+
+1. **Prova gratuita** – perfetta per sviluppo e test.
+2. **Licenza di valutazione temporanea** – estende i limiti della prova.
+3. **Licenza commerciale** – rimuove tutte le restrizioni per l'uso in produzione.
+
+### Inizializzazione e configurazione di base
+Il frammento seguente mostra come **creare un indice di ricerca Java** istanziando la classe `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Con l'indice pronto, possiamo passare a query faccettate e complesse nel mondo reale.
+
+## Come creare un indice di ricerca Java – Ricerca faccettata semplice
+
+La ricerca a faccette consente agli utenti finali di restringere i risultati selezionando valori da categorie predefinite (faccette). Di seguito una guida passo‑passo.
+
+### Passo 1: Crea un indice
+Per prima cosa, punta il `Index` a una cartella dove verranno memorizzati i file dell'indice.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Passo 2: Aggiungi documenti all'indice
+Indica a GroupDocs.Search dove si trovano i tuoi documenti sorgente. Tutti i tipi di file supportati (PDF, DOCX, TXT, ecc.) saranno indicizzati automaticamente.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Passo 3: Esegui una ricerca nel campo Content con una query di testo
+Una rapida query di testo filtra per il campo `content`. La sintassi `content: Pellentesque` limita i risultati ai documenti che contengono la parola *Pellentesque* nel loro testo.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Passo 4: Esegui una ricerca usando una query oggetto
+Le query basate su oggetti offrono un controllo granulare. Qui costruiamo una query di parola, la avvolgiamo in una query di campo e la eseguiamo.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Come creare un indice di ricerca Java – Ricerca con query complesse
+
+Le query complesse combinano più campi, operatori Booleani e ricerche di frasi. Questo è ideale per scenari come filtri e‑commerce o ricerca di documenti legali.
+
+### Passo 1: Crea un indice per query complesse
+Riutilizza la stessa struttura di cartelle; puoi condividere l'indice sia per scenari semplici che complessi.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Passo 2: Esegui una ricerca con una query di testo
+La query seguente cerca file chiamati *lorem* **e** *ipsum* **o** contenuti che contengono una delle due frasi esatte.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Passo 3: Esegui una ricerca con una query oggetto
+La costruzione basata su oggetti rispecchia la query testuale ma offre sicurezza di tipo e assistenza IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Applicazioni pratiche di ricerche a faccette e complesse
+
+| Scenario | Come aiuta la faccettatura | Query di esempio |
+|----------|----------------------------|------------------|
+| **Catalogo e‑commerce** | Filtra per categoria, prezzo, marca | `category: Electronics AND price:[100 TO 500]` |
+| **Repository di documenti legali** | Restringi per numero di caso, giurisdizione | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Archivi di ricerca** | Combina autore, anno di pubblicazione, parole chiave | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Intranet aziendale** | Cerca per tipo di file e dipartimento | `filetype: pdf AND department: HR` |
+
+## Problemi comuni e risoluzione
+
+- **Risultati vuoti** – Verifica che i documenti siano stati aggiunti correttamente (`index.getDocumentCount()` può aiutare).
+- **Indice obsoleto** – Dopo aver aggiunto o rimosso file, chiama `index.update()` per mantenere l'indice sincronizzato.
+- **Nomi di campo errati** – Usa le costanti `CommonFieldNames` (`Content`, `FileName`, ecc.) per evitare errori di battitura.
+- **Collo di bottiglia delle prestazioni** – Per collezioni enormi, considera l'abilitazione di `index.setCacheSize()` o l'uso di un SSD dedicato per la cartella dell'indice.
+
+## Domande frequenti
+
+**Q: Posso usare GroupDocs.Search con Spring Boot?**
+**A: Assolutamente. Basta aggiungere la dipendenza Maven, configurare l'indice come bean Spring e iniettarlo dove necessario.**
+
+**Q: La libreria supporta campi di metadati personalizzati?**
+**A: Sì – è possibile aggiungere campi definiti dall'utente durante l'indicizzazione e poi usarli per le faccette.**
+
+**Q: Quanto può crescere l'indice?**
+**A: L'indice è basato su disco e può gestire milioni di documenti; basta garantire spazio di archiviazione sufficiente e monitorare le impostazioni della cache.**
+
+**Q: Esiste un modo per ordinare i risultati per rilevanza?**
+**A: GroupDocs.Search assegna automaticamente un punteggio alle corrispondenze; è possibile recuperare il punteggio tramite `SearchResult.getDocument(i).getScore()`.**
+
+**Q: Cosa succede se indicizzo PDF criptati?**
+**A: Fornisci la password quando aggiungi il documento: `index.add(filePath, password)`.**
+
+## Conclusione
+
+A questo punto dovresti sentirti a tuo agio nel **creare un indice di ricerca Java** con GroupDocs.Search, aggiungere documenti e costruire sia query faccettate semplici sia ricerche Boolean sofisticate. Queste capacità ti consentono di offrire esperienze di ricerca rapide, accurate e user‑friendly in una vasta gamma di applicazioni, dalle piattaforme e‑commerce alle basi di conoscenza aziendali.
+
+Pronto per il passo successivo? Esplora le funzionalità avanzate di **GroupDocs.Search**, come **highlighting**, **suggestions** e **real‑time indexing**, per potenziare ulteriormente la capacità di ricerca della tua applicazione.
+
+---
+
+**Ultimo aggiornamento:** 2025-12-16
+**Testato con:** GroupDocs.Search 25.4 per Java
+**Autore:** GroupDocs
\ No newline at end of file
diff --git a/content/italian/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/italian/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
new file mode 100644
index 00000000..c60446ef
--- /dev/null
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@@ -0,0 +1,247 @@
+---
+date: '2025-12-16'
+description: Impara come eseguire ricerche per intervallo di date e altre funzionalità
+ di ricerca avanzate, come la ricerca a faccette in Java, utilizzando GroupDocs.Search
+ per Java, inclusa la gestione degli errori e l'ottimizzazione delle prestazioni.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Ricerca per Intervallo di Date e Funzionalità Avanzate'
+type: docs
+url: /it/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Padroneggiare GroupDocs.Search Java: Ricerca per Intervallo di Date e Funzionalità Avanzate
+
+Nelle applicazioni guidate dai dati di oggi, **date range search** è una funzionalità fondamentale che consente di filtrare i documenti per periodi di tempo, migliorando notevolmente la rilevanza e la velocità. Che tu stia costruendo un portale di conformità, un catalogo e‑commerce o un sistema di gestione dei contenuti, padroneggiare la date range search insieme ad altri potenti tipi di query renderà la tua soluzione sia flessibile che robusta. Questa guida ti accompagna nella gestione degli errori, in una suite completa di tipi di query e in consigli sulle prestazioni, il tutto con codice Java reale da copiare‑incollare.
+
+## Risposte Rapide
+- **Che cos'è la date range search?** Filtrare i documenti che contengono date all'interno di un intervallo specificato di inizio‑fine.
+- **Quale libreria la fornisce?** GroupDocs.Search per Java.
+- **Ho bisogno di una licenza?** Una prova gratuita funziona per lo sviluppo; è necessaria una licenza di produzione per l'uso commerciale.
+- **Posso combinarla con altre query?** Sì—mescola date range con query boolean, faceted o regex.
+- **È veloce per grandi set di dati?** Quando indicizzato correttamente, le ricerche avvengono in meno di un secondo anche su milioni di record.
+
+## Che cos'è la date range search?
+La date range search ti consente di individuare i documenti che includono date comprese tra due limiti, ad esempio “2023‑01‑01 ~~ 2023‑12‑31”. È essenziale per report, log di audit e qualsiasi scenario in cui il filtraggio basato sul tempo è importante.
+
+## Perché usare GroupDocs.Search per Java?
+GroupDocs.Search offre un'API unificata per molti tipi di query—simple, wildcard, faceted, numeric, date range, regex, boolean e phrase—così puoi creare esperienze di ricerca sofisticate senza dover gestire più librerie. La sua gestione degli errori basata su eventi mantiene inoltre resiliente il tuo pipeline di indicizzazione.
+
+## Prerequisiti
+- **GroupDocs.Search Java library** (v25.4 o più recente).
+- **Java Development Kit (JDK)** compatibile con il tuo progetto.
+- Maven per la gestione delle dipendenze (o download manuale).
+
+### Librerie Richieste e Configurazione dell'Ambiente
+Aggiungi il repository GroupDocs e la dipendenza al tuo `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Configurazione Alternativa
+Per download diretti, visita [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Licenze e Configurazione Iniziale
+Inizia con una prova gratuita o una licenza temporanea:
+- Visita [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) per i dettagli.
+
+Ora creiamo la cartella dell'indice che conterrà i tuoi dati ricercabili.
+
+## Configurazione di GroupDocs.Search per Java
+
+### Inizializzazione di Base
+Per prima cosa, istanzia un oggetto `Index` che punta a una cartella su disco:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Ora hai un gateway per tutte le operazioni di ricerca.
+
+## Guida all'Implementazione
+
+### Funzionalità 1: Gestione degli Errori nell'Indicizzazione
+#### Come catturare gli errori di indicizzazione (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Perché è importante*: Ascoltando `ErrorOccurred`, puoi registrare i problemi, ritentare i file falliti o avvisare gli utenti senza far crashare l'intero processo.
+
+### Funzionalità 2: Query di Ricerca Semplice
+#### Che cos'è una ricerca semplice?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Risultato*: Restituisce ogni documento contenente il termine **volutpat**.
+
+### Funzionalità 3: Query di Ricerca con Wildcard
+#### Come funziona la ricerca con wildcard?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Risultato*: Corrisponde sia a **affect** che a **effect**, mostrando la potenza del segnaposto `?`.
+
+### Funzionalità 4: Query di Ricerca Facetata
+#### Come eseguire una ricerca facetata in Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Risultato*: Limita la ricerca al campo **Content**, ideale per filtrare per metadati come categoria o autore.
+
+### Funzionalità 5: Query di Ricerca per Intervallo Numerico
+#### Come cercare intervalli numerici
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Risultato*: Recupera i documenti in cui i valori numerici sono compresi tra 2000 e 3000.
+
+### Funzionalità 6: Query di Ricerca per Intervallo di Date
+#### Come eseguire una ricerca per intervallo di date
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Spiegazione*: Personalizzando `SearchOptions`, indichi al motore di riconoscere le date nel formato **MM/DD/YYYY**, quindi recuperi tutti i record tra il 1 gennaio 2000 e il 15 giugno 2001.
+
+### Funzionalità 7: Query di Ricerca con Espressioni Regolari
+#### Come eseguire una ricerca regex in Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Risultato*: Trova sequenze di tre o più caratteri identici (es. “aaa”, “111”).
+
+### Funzionalità 8: Query di Ricerca Booleana
+#### Come combinare condizioni con la ricerca booleana in Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Risultato*: Restituisce i documenti contenenti **justo** ma esclude quelli che contengono anche **3456**.
+
+### Funzionalità 9: Query Booleana Complessa
+#### Come creare query booleane avanzate
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Risultato*: Cerca nomi di file simili a “English” (consentendo variazioni di 1‑3 caratteri) **o** contenuto che contiene sia **3456** sia **consequat**.
+
+### Funzionalità 10: Query di Ricerca per Frase
+#### Come cercare frasi esatte
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Risultato*: Recupera solo i documenti che contengono la frase esatta **ipsum dolor sit amet**.
+
+## Applicazioni Pratiche
+1. **Piattaforme E‑commerce** – Usa la faceted search in Java per filtrare i prodotti per taglia, colore e marca.
+2. **Sistemi di Gestione dei Contenuti** – Combina la boolean search in Java con la phrase search per potenziare strumenti editoriali sofisticati.
+3. **Strumenti di Analisi dei Dati** – Sfrutta la date range search per generare report e dashboard basati sul tempo.
+
+## Problemi Comuni e Soluzioni
+- **Nessun risultato per la date range search** – Verifica che il formato data nei tuoi documenti corrisponda al `DateFormat` personalizzato che hai aggiunto.
+- **Le query regex restituiscono troppi risultati** – Affina il pattern o limita l'ambito della ricerca con qualificatori di campo aggiuntivi.
+- **Errori di indicizzazione non catturati** – Assicurati che il gestore di eventi sia collegato **prima** di chiamare `index.add(...)`.
+
+## Domande Frequenti
+
+**Q: Posso mescolare la date range search con altri tipi di query?**
+A: Assolutamente. Puoi combinare una clausola di date range con operatori booleani, filtri faceted o pattern regex in una singola stringa di query.
+
+**Q: Devo ricostruire l'indice dopo aver cambiato i formati data?**
+A: Sì. L'indice memorizza termini tokenizzati; aggiornare solo `SearchOptions` non ri‑tokenizza i dati esistenti. Re‑indicizza i documenti dopo aver modificato i formati.
+
+**Q: Come gestisce GroupDocs.Search gli indici di grandi dimensioni?**
+A: Utilizza l'indicizzazione incrementale e l'archiviazione su disco, consentendo di scalare a milioni di documenti mantenendo basso l'uso della memoria.
+
+**Q: Esiste un limite al numero di caratteri wildcard?**
+A: Le wildcard sono elaborate in modo efficiente, ma l'uso di molte wildcard iniziali (es. `*term`) può degradare le prestazioni. Preferisci wildcard di prefisso o suffisso.
+
+**Q: Quale modello di licenza è consigliato per la produzione?**
+A: Una licenza perpetua o in abbonamento da GroupDocs garantisce aggiornamenti, supporto e la possibilità di distribuire senza limitazioni della prova.
+
+## Conclusione
+Maestrizzando **date range search** e l'intera suite di tipi di query avanzate offerte da GroupDocs.Search per Java, puoi costruire esperienze di ricerca altamente reattive e ricche di funzionalità. Implementa una gestione robusta degli errori, ottimizza il tuo indice e combina le query per soddisfare praticamente qualsiasi scenario di recupero. Inizia a sperimentare oggi e migliora le capacità di accesso ai dati della tua applicazione.
+
+---
+
+**Ultimo Aggiornamento:** 2025-12-16
+**Testato Con:** GroupDocs.Search 25.4 (Java)
+**Autore:** GroupDocs
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: .NET と Java の開発者向けの GroupDocs.Search チュートリアルコレクションを探索しましょう。ドキュメントのインデックス作成、検索機能、そして高度な機能を簡単にマスターできます。
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: GroupDocs.Search チュートリアル – 文書検索の力を解き放つ
+type: docs
+url: /ja/
+weight: 11
+---
+
+# GroupDocs.Search チュートリアル – ドキュメント検索の力を解き放つ
+
+Welcome to the **GroupDocs.Search tutorial** hub, your one‑stop destination for mastering document search and indexing across .NET and Java platforms. Whether you’re building a small internal tool or a large‑scale enterprise solution, these step‑by‑step guides will help you implement fast, accurate, and scalable search functionality. You’ll learn everything from basic indexing to sophisticated query building, all while leveraging the full power of GroupDocs.Search.
+
+## なぜ GroupDocs.Search チュートリアルを使用するのか？
+
+- **document indexing** の技術をしっかりと理解する。
+- 大規模なドキュメントコレクションを処理できる効率的な **search capabilities** の作り方を学ぶ。
+- ファジー検索、ハイライト、分散検索ネットワークなどの高度な機能を探求する。
+- .NET と Java の両環境向けに、明確で例示中心の手順により開発時間を短縮する。
+
+{{% alert color="primary" %}}
+Explore powerful document search capabilities in .NET with GroupDocs.Search tutorials. From basic indexing to advanced search techniques, our tutorials offer comprehensive guidance for developers at all skill levels. Dive into various topics such as boolean search, fuzzy search, highlighting, dictionary management, and distributed search solutions, unlocking the full potential of GroupDocs.Search for .NET. Elevate your application's search functionality and streamline document discovery with our easy‑to‑follow tutorials.
+{{% /alert %}}
+
+## .NET 向け GroupDocs.Search チュートリアル
+
+### 必須 .NET 検索チュートリアル
+
+- [インデックス作成](./net/indexing/)
+- [検索](./net/searching/)
+- [ハイライト](./net/highlighting/)
+- [辞書と自然言語処理](./net/dictionaries-language-processing/)
+- [ドキュメント管理](./net/document-management/)
+- [OCR と画像検索](./net/ocr-image-search/)
+- [高度な機能](./net/advanced-features/)
+- [検索ネットワーク](./net/search-network/)
+- [パフォーマンス最適化](./net/performance-optimization/)
+- [例外処理とロギング](./net/exception-handling-logging/)
+- [統合と相互運用性](./net/integration-interoperability/)
+- [ライセンスと構成](./net/licensing-configuration/)
+- [テキスト抽出と処理](./net/text-extraction-processing/)
+- [クエリとクエリ構築](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Discover comprehensive tutorials for GroupDocs.Search in Java. From basic indexing techniques to advanced search functionality, our step‑by‑step guides provide Java developers with the knowledge to implement powerful document search solutions. Learn to work with various document formats including PDF, Word, Excel, presentations, and more. Master techniques for creating indexes, performing different search types, highlighting results, and optimizing performance to enhance your Java applications with robust search capabilities.
+{{% /alert %}}
+
+## Java 向け GroupDocs.Search チュートリアル
+
+### 必須 Java 検索チュートリアル
+
+- [はじめに](./java/getting-started/)
+- [インデックス作成](./java/indexing/)
+- [検索](./java/searching/)
+- [ハイライト](./java/highlighting/)
+- [辞書と自然言語処理](./java/dictionaries-language-processing/)
+- [ドキュメント管理](./java/document-management/)
+- [OCR と画像検索](./java/ocr-image-search/)
+- [高度な機能](./java/advanced-features/)
+- [検索ネットワーク](./java/search-network/)
+- [パフォーマンス最適化](./java/performance-optimization/)
+- [例外処理とロギング](./java/exception-handling-logging/)
+- [ライセンスと構成](./java/licensing-configuration/)
+- [テキスト抽出と処理](./java/text-extraction-processing/)
+
+---
+
+**Last Updated:** 2025-12-16
+**Author:** GroupDocs
\ No newline at end of file
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+---
+date: 2025-12-16
+description: GroupDocs.Search の Java チュートリアルで、検索インデックスの作成方法や日付範囲検索、ファセット検索、ドキュメントフィルタリングの実装方法を学びましょう。
+title: '検索インデックスの作成 - GroupDocs.Search Java チュートリアル'
+type: docs
+url: /ja/java/advanced-features/
+weight: 8
+---
+
+# Create Search Index: GroupDocs.Search Java Tutorials
+
+GroupDocs.Search for Java を使用して **検索インデックスの作成** と高度な検索機能の活用を行うハブへようこそ。**日付範囲の実装** クエリや **ファイル拡張子フィルタリング Java** の適用、**複雑な検索 Java** ソリューションの構築など、これらのチュートリアルではステップバイステップのガイダンス、実践的な例、実行可能なコードを提供します。このガイドを終える頃には、大規模なドキュメントコレクションに対応できる強力な検索体験の設計方法が理解できるようになります。
+
+## How to create search index with GroupDocs.Search Java?
+堅牢な検索インデックスの構築は、洗練された検索機能の基盤です。以下のチュートリアルでは、次のことが学べます。
+
+* インデックスを設定し、ドキュメントを効率的に追加する方法。
+* メタデータや属性を使用して検索結果を豊かにする方法。
+* **document filtering java** や **file extension filtering java** などのフィルタを適用して結果を絞り込む方法。
+* **implement date range** 制約を含む、複数の条件を組み合わせた **complex search java** クエリの実行方法。
+
+## Available Tutorials
+
+### [Chunk-Based Document Search in Java: A Comprehensive Guide Using GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+GroupDocs.Search for Java を使用した効率的なチャンクベースのドキュメント検索の実装方法を学びます。生産性を向上させ、大規模データセットをシームレスに管理できます。
+
+### [Faceted and Complex Searches in Java: Master GroupDocs.Search for Advanced Features](./faceted-complex-search-groupdocs-java/)
+GroupDocs.Search を活用した Java アプリケーションでのファセット検索と複雑検索の実装方法を学び、検索機能とユーザーエクスペリエンスを強化します。
+
+### [Implement GroupDocs.Search Java: Comprehensive Indexing and Reporting Guide](./groupdocs-search-java-index-report-guide/)
+効率的なドキュメントインデックス作成とレポート作成のための、GroupDocs.Search の包括的なガイドです。インデックスの作成、ドキュメントの追加、レポート生成を学びます。
+
+### [Master Date Range Searches in Java with GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+GroupDocs.Search Java のコードチュートリアル
+
+### [Master GroupDocs.Search Java: Advanced Search Features for Efficient Data Retrieval](./groupdocs-search-java-advanced-search-features/)
+エラーハンドリング、さまざまなクエリタイプ、パフォーマンス最適化を含む、GroupDocs.Search for Java の高度な検索機能をマスターします。
+
+### [Master Java File Filtering Using GroupDocs.Search: A Step‑By‑Step Guide](./master-java-file-filtering-groupdocs-search/)
+ファイル拡張子や論理演算子などを含む、GroupDocs.Search を使用した Java におけるファイルの効率的な管理とフィルタリング方法を学びます。
+
+### [Mastering GroupDocs.Search for Java: Your Complete Guide to Document Indexing and Search](./groupdocs-search-java-implementation-guide/)
+包括的なガイドで GroupDocs.Search を Java に実装する方法を学びます。堅牢なテキスト抽出、シリアライズ、インデックス作成、検索機能を発見してください。
+
+## 추가 자료
+
+- [GroupDocs.Search for Java Documentation](https://docs.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java API Reference](https://reference.groupdocs.com/search/java/)
+- [Download GroupDocs.Search for Java](https://releases.groupdocs.com/search/java/)
+- [GroupDocs.Search Forum](https://forum.groupdocs.com/c/search)
+- [Free Support](https://forum.groupdocs.com/)
+- [Temporary License](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Last Updated:** 2025-12-16
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/japanese/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/japanese/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
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+---
+date: '2025-12-16'
+description: GroupDocs.Search を使用して Java で検索インデックスを作成し、ファセット検索や複雑な検索を実装する方法を学び、検索パフォーマンスとユーザーエクスペリエンスを向上させましょう。
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: 検索インデックス作成（Java） – ファセット検索と複合検索
+type: docs
+url: /ja/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Search Index Java の作成 – ファセット検索と複合検索
+
+Java で強力な **search experience** を実装するのは、特に大量のドキュメントコレクションを扱う **create search index Java** プロジェクトが必要な場合、圧倒されがちです。幸い、**GroupDocs.Search for Java** は、数行のコードでファセット検索や複合クエリを構築できるリッチな API を提供します。このチュートリアルでは、ライブラリのセットアップ方法、**create a search index Java** の作成、ドキュメントの追加、シンプルなファセット検索と高度なマルチクライテリアクエリの実行方法を学びます。
+
+## クイック回答
+- **What is a faceted search?** 事前定義されたカテゴリ（例：ファイルタイプ、日付）で結果を絞り込む方法です。
+- **How do I create a search index Java?** フォルダーを指す `Index` オブジェクトを初期化し、ドキュメントを追加します。
+- **Can I combine multiple criteria?** はい — オブジェクトベースのクエリまたはテキストクエリ内の Boolean 演算子を使用します。
+- **Do I need a license?** 無料トライアルは開発に利用可能です。商用ライセンスは制限を解除します。
+- **Which IDE works best?** 任意の Java IDE（IntelliJ IDEA、Eclipse、NetBeans）で問題なく動作します。
+
+## “create search index java” とは？
+Java で検索インデックスを作成することは、ドキュメントのメタデータとコンテンツを格納し、ユーザークエリに基づく高速検索を可能にする検索可能なデータ構造を構築することです。GroupDocs.Search を使用すると、インデックスはディスク上に保存され、増分的に更新でき、ファセットや複雑な Boolean ロジックといった高度な機能もサポートします。
+
+## Why use GroupDocs.Search for faceted and complex queries?
+- **Out‑of‑the‑box faceting** – ファイル名、サイズ、カスタムメタデータなどのフィールドでフィルタできます。
+- **Rich query language** – テキスト、フレーズ、フィールドクエリを AND/OR/NOT 演算子で組み合わせられます。
+- **Scalable performance** – 数百万件のドキュメントをインデックス化しながら、検索遅延を低く保ちます。
+- **Pure Java** – ネイティブ依存関係がなく、JDK 8+ が動作する任意のプラットフォームで使用できます。
+
+## 前提条件
+
+作業を始める前に、以下を用意してください。
+
+- **JDK 8 以上** がインストールされ、IDE で設定されていること。
+- **Maven**（または Gradle）による依存関係管理。
+- **GroupDocs.Search for Java** ≥ 25.4。
+- Java の OOP 概念と Maven プロジェクト構造に関する基本的な知識。
+
+## Setting Up GroupDocs.Search for Java
+
+### Maven Setup
+`pom.xml` ファイルにリポジトリと依存関係を追加します：
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Direct Download
+または、公式リリースページから最新の JAR をダウンロードしてください：
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### License Acquisition
+フル機能を有効にするには：
+
+1. **Free trial** – 開発・テストに最適です。
+2. **Temporary evaluation license** – トライアルの制限を拡張します。
+3. **Commercial license** – 本番利用時のすべての制限を解除します。
+
+### Basic Initialization and Setup
+以下のスニペットは、`Index` クラスをインスタンス化して **create a search index Java** を作成する方法を示しています：
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+インデックスが準備できたら、実務でのファセット検索や複合クエリに進めます。
+
+## How to create search index java – Simple Faceted Search
+
+ファセット検索は、エンドユーザーが事前定義されたカテゴリ（ファセット）から値を選択して結果を絞り込むことを可能にします。以下にステップバイステップの手順を示します。
+
+### Step 1: Create an Index
+まず、インデックスファイルを保存するフォルダーを指すように `Index` を設定します。
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Step 2: Add Documents to the Index
+GroupDocs.Search にソースドキュメントの所在を伝えます。サポートされているすべてのファイルタイプ（PDF、DOCX、TXT など）が自動的にインデックス化されます。
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Step 3: Perform a Search in the Content Field with a Text Query
+簡単なテキストクエリで `content` フィールドをフィルタします。構文 `content: Pellentesque` は、本文テキストに *Pellentesque* が含まれるドキュメントに結果を限定します。
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Step 4: Perform a Search Using an Object Query
+オブジェクトベースのクエリは細かい制御を提供します。ここでは単語クエリを作成し、フィールドクエリでラップして実行します。
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## How to create search index java – Complex Query Search
+
+複合クエリは複数のフィールド、Boolean 演算子、フレーズ検索を組み合わせます。これは、e‑commerce のフィルタや法務文書の調査などのシナリオに最適です。
+
+### Step 1: Create an Index for Complex Queries
+同じフォルダー構造を再利用できます。シンプルと複合のシナリオでインデックスを共有可能です。
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Step 2: Perform a Search with a Text Query
+以下のクエリは、ファイル名が *lorem* **and** *ipsum* **or** コンテンツに 2 つの正確なフレーズのいずれかが含まれるものを検索します。
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Step 3: Perform a Search with an Object Query
+オブジェクトベースの構築はテキストクエリと同等ですが、型安全性と IDE の支援が得られます。
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Practical Applications of Faceted & Complex Searches
+
+| シナリオ | ファセットが役立つ方法 | クエリ例 |
+|----------|-------------------|---------------|
+| **E‑commerce catalog** | カテゴリ、価格、ブランドでフィルタ | `category: Electronics AND price:[100 TO 500]` |
+| **Legal document repository** | ケース番号、管轄で絞り込み | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Research archives** | 著者、出版年、キーワードを組み合わせ | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Enterprise intranet** | ファイルタイプと部門で検索 | `filetype: pdf AND department: HR` |
+
+これらの例は、**create search index java** のテクニックを習得することが、データ集約型アプリケーションにおいて大きな差別化要因になることを示しています。
+
+## Common Pitfalls & Troubleshooting
+
+- **Empty results** – ドキュメントが正しく追加されたか確認してください（`index.getDocumentCount()` が役立ちます）。
+- **Stale index** – ファイルを追加または削除した後は、`index.update()` を呼び出してインデックスを同期させます。
+- **Incorrect field names** – タイプミスを防ぐために `CommonFieldNames` 定数（`Content`、`FileName` など）を使用してください。
+- **Performance bottlenecks** – 大規模コレクションの場合、`index.setCacheSize()` の有効化やインデックスフォルダー用に専用 SSD を使用することを検討してください。
+
+## Frequently Asked Questions
+
+**Q: Can I use GroupDocs.Search with Spring Boot?**
+A: もちろんです。Maven 依存関係を追加し、インデックスを Spring Bean として構成し、必要な場所でインジェクトしてください。
+
+**Q: Does the library support custom metadata fields?**
+A: はい – インデックス作成時にユーザー定義フィールドを追加でき、後でそれらのフィールドに対してファセットを適用できます。
+
+**Q: How large can the index grow?**
+A: インデックスはディスクベースで、数百万件のドキュメントを処理できます。十分なストレージを確保し、キャッシュ設定を監視してください。
+
+**Q: Is there a way to rank results by relevance?**
+A: GroupDocs.Search はマッチングを自動的にスコア付けします。スコアは `SearchResult.getDocument(i).getScore()` で取得可能です。
+
+**Q: What happens if I index encrypted PDFs?**
+A: ドキュメントを追加する際にパスワードを指定してください：`index.add(filePath, password)`。
+
+## Conclusion
+
+これで、GroupDocs.Search を使用した **create search index Java** の作成、ドキュメントの追加、シンプルなファセットクエリと高度な Boolean 検索の両方の構築方法に慣れたはずです。これらの機能により、e‑commerce プラットフォームからエンタープライズナレッジベースまで、幅広いアプリケーションで高速かつ正確でユーザーフレンドリーな検索体験を提供できます。
+
+次のステップに進みますか？ **GroupDocs.Search** の高度な機能（**highlighting**、**suggestions**、**real‑time indexing** など）を探求し、アプリケーションの検索パワーをさらに向上させましょう。
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 for Java
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/japanese/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/japanese/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,246 @@
+---
+date: '2025-12-16'
+description: GroupDocs.Search for Java を使用して、日付範囲検索やファセット検索などの高度な検索機能を実装する方法を学び、エラーハンドリングとパフォーマンス最適化も含めます。
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - 日付範囲検索と高度な機能'
+type: docs
+url: /ja/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# GroupDocs.Search Java のマスター: 日付範囲検索と高度な機能
+
+今日のデータ駆動型アプリケーションでは、**date range search** は時間期間でドキュメントをフィルタリングできるコア機能であり、関連性と速度を大幅に向上させます。コンプライアンスポータル、e‑commerce カタログ、コンテンツ管理システムのいずれを構築する場合でも、日付範囲検索と他の強力なクエリタイプを組み合わせて習得すれば、ソリューションは柔軟かつ堅牢になります。本ガイドではエラーハンドリング、豊富なクエリタイプ、パフォーマンスのコツを実際の Java コードとともに解説します。
+
+## Quick Answers
+- **date range search とは？** 指定した開始日から終了日までの期間に含まれる日付を持つドキュメントをフィルタリングします。
+- **どのライブラリが提供？** GroupDocs.Search for Java。
+- **ライセンスは必要？** 開発には無料トライアルで十分です。商用利用には本番用ライセンスが必要です。
+- **他のクエリと組み合わせられる？** はい — date range を boolean、faceted、regex クエリと組み合わせられます。
+- **大規模データセットでも高速？** 正しくインデックス化すれば、数百万件でもサブ秒で検索できます。
+
+## date range search とは？
+date range search は、たとえば “2023‑01‑01 ~~ 2023‑12‑31” のように、2 つの境界日の間にある日付を含むドキュメントを特定する機能です。レポート、監査ログ、時間ベースのフィルタリングが重要なシナリオで必須となります。
+
+## なぜ GroupDocs.Search for Java を使うのか？
+GroupDocs.Search は、シンプル、ワイルドカード、faceted、数値、date range、regex、boolean、phrase といった多種多様なクエリタイプを統一 API で提供します。複数のライブラリを使い分ける必要がなく、イベント駆動型のエラーハンドリングによりインデックス作成パイプラインの耐障害性も向上します。
+
+## 前提条件
+- **GroupDocs.Search Java ライブラリ**（v25.4 以上）。
+- **Java Development Kit (JDK)**（プロジェクトに適合するバージョン）。
+- 依存関係管理のための Maven（または手動ダウンロード）。
+
+### 必要なライブラリと環境設定
+`pom.xml` に GroupDocs リポジトリと依存関係を追加します:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### 代替セットアップ
+直接ダウンロードする場合は、[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/) をご覧ください。
+
+### ライセンスと初期設定
+無料トライアルまたは一時ライセンスで開始します:
+
+- 詳細は [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) を参照してください。
+
+それでは、検索可能データを保持するインデックスフォルダーを作成しましょう。
+
+## GroupDocs.Search for Java の設定
+
+### 基本的な初期化
+まず、ディスク上のフォルダーを指す `Index` オブジェクトをインスタンス化します:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+これで全ての検索操作へのゲートウェイが確立されました。
+
+## 実装ガイド
+
+### 機能 1: インデックス作成時のエラーハンドリング
+#### インデックスエラーを取得する方法 (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*重要性*: `ErrorOccurred` をリッスンすることで、問題をログに記録したり、失敗したファイルを再試行したり、ユーザーに通知したりでき、プロセス全体がクラッシュするのを防げます。
+
+### 機能 2: シンプル検索クエリ
+#### シンプル検索とは？
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*結果*: **volutpat** を含むすべてのドキュメントが返されます。
+
+### 機能 3: ワイルドカード検索クエリ
+#### ワイルドカード検索の仕組み
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*結果*: **affect** と **effect** の両方にマッチし、`?` プレースホルダーの威力を示します。
+
+### 機能 4: Faceted 検索クエリ
+#### Faceted 検索の実装 (Java)
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*結果*: **Content** フィールドに限定した検索となり、カテゴリや著者といったメタデータでのフィルタリングに最適です。
+
+### 機能 5: 数値範囲検索クエリ
+#### 数値範囲を検索する方法
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*結果*: 数値が 2000 から 3000 の間にあるドキュメントが取得されます。
+
+### 機能 6: 日付範囲検索クエリ
+#### 日付範囲検索の実行方法
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*説明*: `SearchOptions` をカスタマイズして **MM/DD/YYYY** 形式の日付を認識させ、2000 年 1 月 1 日から 2001 年 6 月 15 日までのレコードを取得します。
+
+### 機能 7: 正規表現検索クエリ
+#### 正規表現検索の実装 (Java)
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*結果*: 3 文字以上の同一文字列（例: “aaa”, “111”）を検出します。
+
+### 機能 8: Boolean 検索クエリ
+#### Boolean 検索で条件を組み合わせる方法 (Java)
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*結果*: **justo** を含むが **3456** を含むドキュメントは除外されます。
+
+### 機能 9: 複合 Boolean 検索クエリ
+#### 高度な Boolean クエリの作成方法
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*結果*: ファイル名が “English” に類似（1‑3 文字の変化）するもの **または** コンテンツに **3456** と **consequat** の両方を含むものを検索します。
+
+### 機能 10: フレーズ検索クエリ
+#### 正確なフレーズを検索する方法
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*結果*: 正確なフレーズ **ipsum dolor sit amet** を含むドキュメントのみが取得されます。
+
+## 実用的な活用例
+1. **E‑commerce プラットフォーム** – Faceted 検索 (Java) を使ってサイズ、カラー、ブランドで商品を絞り込み。
+2. **コンテンツ管理システム** – Boolean 検索 (Java) とフレーズ検索を組み合わせ、洗練された編集ツールを実現。
+3. **データ分析ツール** – 日付範囲検索を活用し、時間ベースのレポートやダッシュボードを生成。
+
+## よくある問題と解決策
+- **日付範囲検索で結果が出ない** – ドキュメント内の日付形式がカスタム `DateFormat` と一致しているか確認してください。
+- **正規表現クエリがヒットしすぎる** – パターンを絞り込むか、追加のフィールド指定で検索範囲を限定してください。
+- **インデックスエラーが取得できない** – `index.add(...)` を呼び出す **前に** イベントハンドラが登録されていることを確認してください。
+
+## FAQ
+
+**Q: 日付範囲検索を他のクエリタイプと組み合わせられますか？**
+A: もちろんです。日付範囲句を Boolean 演算子、Faceted フィルタ、正規表現パターンと組み合わせて単一クエリ文字列で実行できます。
+
+**Q: 日付形式を変更したらインデックスを再構築する必要がありますか？**
+A: はい。インデックスはトークン化された語句を保持しているため、`SearchOptions` のみ変更しても既存データは再トークン化されません。形式変更後はドキュメントを再インデックスしてください。
+
+**Q: 大規模インデックスはどのように処理されますか？**
+A: 増分インデックスとオンディスクストレージを使用するため、数百万件のドキュメントでもメモリ使用量を抑えてスケールできます。
+
+**Q: ワイルドカード文字の使用数に制限はありますか？**
+A: ワイルドカードは効率的に処理されますが、先頭に多数のワイルドカード（例: `*term`）を付けるとパフォーマンスが低下します。プレフィックスまたはサフィックスワイルドカードの使用を推奨します。
+
+**Q: 本番環境に推奨されるライセンスモデルは？**
+A: GroupDocs の永続ライセンスまたはサブスクリプションライセンスを取得すれば、アップデート、サポート、トライアル制限なしでデプロイできます。
+
+## 結論
+**date range search** と GroupDocs.Search for Java が提供するフルセットの高度なクエリタイプをマスターすれば、応答性が高く機能豊富な検索体験を構築できます。堅牢なエラーハンドリングを実装し、インデックスを最適化し、クエリを組み合わせて事実上すべての検索シナリオに対応しましょう。今日から実験を始め、アプリケーションのデータアクセス機能を次のレベルへ引き上げてください。
+
+---
+
+**最終更新日:** 2025-12-16
+**テスト環境:** GroupDocs.Search 25.4 (Java)
+**作者:** GroupDocs
\ No newline at end of file
diff --git a/content/korean/_index.md b/content/korean/_index.md
new file mode 100644
index 00000000..14bbfa8e
--- /dev/null
+++ b/content/korean/_index.md
@@ -0,0 +1,76 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: .NET 및 Java 개발자를 위한 GroupDocs.Search 튜토리얼 컬렉션을 탐색하세요. 문서 인덱싱, 검색 기능 및
+ 고급 기능을 손쉽게 마스터하세요.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: GroupDocs.Search 튜토리얼 – 문서 검색 기능 활용
+type: docs
+url: /ko/
+weight: 11
+---
+
+# GroupDocs.Search 튜토리얼 – 문서 검색 기능 활용
+
+Welcome to the **GroupDocs.Search tutorial** 허브에 오신 것을 환영합니다. .NET 및 Java 플랫폼 전반에 걸쳐 문서 검색 및 인덱싱을 마스터하기 위한 원스톱 목적지입니다. 작은 내부 도구를 만들든 대규모 엔터프라이즈 솔루션을 구축하든, 이러한 단계별 가이드는 빠르고 정확하며 확장 가능한 검색 기능을 구현하는 데 도움이 됩니다. 기본 인덱싱부터 정교한 쿼리 구축까지 모든 것을 배우게 되며, 그 과정에서 GroupDocs.Search의 전체 기능을 활용하게 됩니다.
+
+## GroupDocs.Search 튜토리얼을 사용하는 이유
+
+이 튜토리얼 시리즈는 실제 시나리오를 염두에 두고 설계되어, 배운 내용을 프로젝트에 빠르게 적용할 수 있습니다.
+이 가이드를 따라 하면 다음을 얻을 수 있습니다:
+
+- 문서 인덱싱 기술에 대한 확고한 이해를 얻습니다.
+- 대용량 문서 컬렉션을 처리할 수 있는 효율적인 **search capabilities**를 만드는 방법을 배웁니다.
+- 퍼지 검색, 하이라이팅, 분산 검색 네트워크와 같은 고급 기능을 탐색합니다.
+- .NET 및 Java 환경 모두에 대한 명확하고 예제 중심의 지침으로 개발 시간을 단축합니다.
+
+{{% alert color="primary" %}}
+.NET에서 GroupDocs.Search 튜토리얼을 통해 강력한 문서 검색 기능을 탐색하십시오. 기본 인덱싱부터 고급 검색 기술까지, 우리의 튜토리얼은 모든 수준의 개발자를 위한 포괄적인 가이드를 제공합니다. 불리언 검색, 퍼지 검색, 하이라이팅, 사전 관리, 분산 검색 솔루션 등 다양한 주제로 깊이 들어가 .NET용 GroupDocs.Search의 전체 잠재력을 활용하십시오. 애플리케이션의 검색 기능을 향상하고 문서 탐색을 간소화하는 쉬운 튜토리얼을 제공합니다.
+{{% /alert %}}
+
+## .NET용 GroupDocs.Search 튜토리얼
+
+### 필수 .NET 검색 튜토리얼
+
+- [인덱싱](./net/indexing/)
+- [검색](./net/searching/)
+- [하이라이팅](./net/highlighting/)
+- [사전 및 언어 처리](./net/dictionaries-language-processing/)
+- [문서 관리](./net/document-management/)
+- [OCR 및 이미지 검색](./net/ocr-image-search/)
+- [고급 기능](./net/advanced-features/)
+- [검색 네트워크](./net/search-network/)
+- [성능 최적화](./net/performance-optimization/)
+- [예외 처리 및 로깅](./net/exception-handling-logging/)
+- [통합 및 상호 운용성](./net/integration-interoperability/)
+- [라이선스 및 구성](./net/licensing-configuration/)
+- [텍스트 추출 및 처리](./net/text-extraction-processing/)
+- [쿼리 및 쿼리 구축](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Java용 GroupDocs.Search에 대한 포괄적인 튜토리얼을 찾아보세요. 기본 인덱싱 기술부터 고급 검색 기능까지, 단계별 가이드는 Java 개발자에게 강력한 문서 검색 솔루션을 구현하는 지식을 제공합니다. PDF, Word, Excel, 프레젠테이션 등 다양한 문서 형식을 다루는 방법을 배우고, 인덱스 생성, 다양한 검색 유형 수행, 결과 하이라이팅, 성능 최적화 기술을 마스터하여 Java 애플리케이션에 견고한 검색 기능을 강화하십시오.
+{{% /alert %}}
+
+## Java용 GroupDocs.Search 튜토리얼
+
+### 필수 Java 검색 튜토리얼
+
+- [시작하기](./java/getting-started/)
+- [인덱싱](./java/indexing/)
+- [검색](./java/searching/)
+- [하이라이팅](./java/highlighting/)
+- [사전 및 언어 처리](./java/dictionaries-language-processing/)
+- [문서 관리](./java/document-management/)
+- [OCR 및 이미지 검색](./java/ocr-image-search/)
+- [고급 기능](./java/advanced-features/)
+- [검색 네트워크](./java/search-network/)
+- [성능 최적화](./java/performance-optimization/)
+- [예외 처리 및 로깅](./java/exception-handling-logging/)
+- [라이선스 및 구성](./java/licensing-configuration/)
+- [텍스트 추출 및 처리](./java/text-extraction-processing/)
+
+---
+
+**마지막 업데이트:** 2025-12-16
+**작성자:** GroupDocs
\ No newline at end of file
diff --git a/content/korean/java/advanced-features/_index.md b/content/korean/java/advanced-features/_index.md
new file mode 100644
index 00000000..fd452068
--- /dev/null
+++ b/content/korean/java/advanced-features/_index.md
@@ -0,0 +1,59 @@
+---
+date: 2025-12-16
+description: GroupDocs.Search Java 튜토리얼을 통해 검색 인덱스를 생성하고 날짜 범위, 파싯 검색 및 문서 필터링을 구현하는
+ 방법을 배워보세요.
+title: '검색 인덱스 만들기 - GroupDocs.Search Java 튜토리얼'
+type: docs
+url: /ko/java/advanced-features/
+weight: 8
+---
+
+# 검색 인덱스 만들기: GroupDocs.Search Java 튜토리얼
+
+GroupDocs.Search for Java와 함께 **검색 인덱스 만들기** 및 고급 검색 기능을 활용할 수 있는 허브에 오신 것을 환영합니다. **날짜 범위 구현** 쿼리를 찾고 있든, **파일 확장자 필터링 Java**를 적용하든, 혹은 **복잡한 검색 Java** 솔루션을 구축하든, 이 튜토리얼은 단계별 가이드, 실제 예제, 즉시 실행 가능한 코드를 제공합니다. 이 가이드를 끝까지 읽으면 대용량 문서 컬렉션에 맞춰 확장 가능한 강력한 검색 경험을 설계하는 방법을 이해하게 됩니다.
+
+## GroupDocs.Search Java로 검색 인덱스 만드는 방법?
+
+견고한 검색 인덱스를 구축하는 것은 모든 정교한 검색 기능의 기반입니다. 아래 튜토리얼에서 다음과 같은 방법을 확인할 수 있습니다:
+
+* 인덱스를 설정하고 문서를 효율적으로 추가합니다.
+* 메타데이터와 속성을 사용하여 검색 결과를 풍부하게 합니다.
+* **document filtering java** 및 **file extension filtering java**와 같은 필터를 적용하여 결과를 좁힙니다.
+* **complex search java** 쿼리를 실행하여 여러 기준을 결합하고, **implement date range** 제약을 포함합니다.
+
+## 사용 가능한 튜토리얼
+
+### [Java에서 청크 기반 문서 검색: GroupDocs.Search를 활용한 종합 가이드](./groupdocs-search-java-chunk-based-search-tutorial/)
+GroupDocs.Search for Java를 사용하여 효율적인 청크 기반 문서 검색을 구현하는 방법을 배웁니다. 생산성을 높이고 대규모 데이터 세트를 원활하게 관리할 수 있습니다.
+
+### [Java에서 파싯 및 복합 검색: 고급 기능을 위한 GroupDocs.Search 마스터](./faceted-complex-search-groupdocs-java/)
+GroupDocs.Search를 사용하여 Java 애플리케이션에서 파싯 및 복합 검색을 구현하는 방법을 배우고, 검색 기능과 사용자 경험을 향상시킵니다.
+
+### [GroupDocs.Search Java 구현: 종합 인덱싱 및 보고 가이드](./groupdocs-search-java-index-report-guide/)
+효율적인 문서 인덱싱 및 보고를 위해 Java에서 GroupDocs.Search를 마스터합니다. 이 상세 가이드를 통해 인덱스를 생성하고, 문서를 추가하며, 보고서를 생성하는 방법을 배웁니다.
+
+### [GroupDocs.Search와 함께 Java에서 날짜 범위 검색 마스터](./master-date-range-searches-groupdocs-java/)
+GroupDocs.Search Java를 위한 코드 튜토리얼
+
+### [GroupDocs.Search Java 마스터: 효율적인 데이터 검색을 위한 고급 검색 기능](./groupdocs-search-java-advanced-search-features/)
+오류 처리, 다양한 쿼리 유형, 성능 최적화를 포함한 GroupDocs.Search for Java의 고급 검색 기능을 마스터하는 방법을 배웁니다.
+
+### [GroupDocs.Search를 활용한 Java 파일 필터링 마스터: 단계별 가이드](./master-java-file-filtering-groupdocs-search/)
+GroupDocs.Search를 사용하여 Java에서 파일을 효율적으로 관리하고 필터링하는 방법을 배우며, 파일 확장자, 논리 연산자 등을 포함합니다.
+
+### [Java용 GroupDocs.Search 마스터링: 문서 인덱싱 및 검색을 위한 완전 가이드](./groupdocs-search-java-implementation-guide/)
+이 종합 가이드를 통해 Java에서 GroupDocs.Search를 구현하는 방법을 배우고, 강력한 텍스트 추출, 직렬화, 인덱싱 및 검색 기능을 발견합니다.
+
+## 추가 리소스
+
+- [GroupDocs.Search for Java 문서](https://docs.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java API 레퍼런스](https://reference.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java 다운로드](https://releases.groupdocs.com/search/java/)
+- [GroupDocs.Search 포럼](https://forum.groupdocs.com/c/search)
+- [무료 지원](https://forum.groupdocs.com/)
+- [임시 라이선스](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**마지막 업데이트:** 2025-12-16
+**작성자:** GroupDocs
\ No newline at end of file
diff --git a/content/korean/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/korean/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
new file mode 100644
index 00000000..7e7c23aa
--- /dev/null
+++ b/content/korean/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -0,0 +1,253 @@
+---
+date: '2025-12-16'
+description: GroupDocs.Search를 사용하여 Java로 검색 인덱스를 생성하고, 파싯 검색 및 복합 검색을 구현하여 검색 성능과
+ 사용자 경험을 향상시키는 방법을 배웁니다.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: 검색 인덱스 생성 Java – 다면 및 복합 검색
+type: docs
+url: /ko/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# 검색 인덱스 생성 Java – Faceted 및 복합 검색
+
+Java에서 강력한 **search experience**를 구현하는 것은 특히 대용량 문서 컬렉션을 처리하는 **create search index Java** 프로젝트가 필요할 때 압도적으로 느껴질 수 있습니다. 다행히 **GroupDocs.Search for Java**는 몇 줄의 코드만으로 faceted 및 복합 쿼리를 구축할 수 있는 풍부한 API를 제공합니다. 이 튜토리얼에서는 라이브러리 설정 방법, **create a search index Java** 방법, 문서 추가, 그리고 간단한 faceted 검색과 정교한 다중 기준 쿼리를 실행하는 방법을 배웁니다.
+
+## 빠른 답변
+- **Faceted 검색이란?** 미리 정의된 카테고리(예: 파일 유형, 날짜)로 결과를 필터링하는 방법.
+- **검색 인덱스 Java를 어떻게 생성하나요?** 폴더를 가리키는 `Index` 객체를 초기화하고 문서를 추가합니다.
+- **여러 기준을 결합할 수 있나요?** 예—객체 기반 쿼리 또는 텍스트 쿼리에서 Boolean 연산자를 사용합니다.
+- **라이선스가 필요합니까?** 무료 체험판은 개발 및 테스트에 적합하며, 상용 라이선스는 제한을 해제합니다.
+- **어떤 IDE가 가장 적합합니까?** IntelliJ IDEA, Eclipse, NetBeans 등 모든 Java IDE에서 정상 작동합니다.
+
+## “create search index java”란 무엇인가요?
+Java에서 검색 인덱스를 생성한다는 것은 문서 메타데이터와 내용을 저장하는 검색 가능한 데이터 구조를 구축하여 사용자 쿼리에 기반한 빠른 검색을 가능하게 하는 것을 의미합니다. GroupDocs.Search를 사용하면 인덱스가 디스크에 저장되고 점진적으로 업데이트될 수 있으며, faceting 및 복합 Boolean 로직과 같은 고급 기능을 지원합니다.
+
+## faceted 및 복합 쿼리에 GroupDocs.Search를 사용하는 이유
+- **Out‑of‑the‑box faceting** – 파일 이름, 크기 또는 사용자 정의 메타데이터와 같은 필드로 필터링합니다.
+- **Rich query language** – AND/OR/NOT 연산자를 사용해 텍스트, 구문, 필드 쿼리를 혼합합니다.
+- **Scalable performance** – 수백만 개의 문서를 인덱싱하면서도 검색 지연 시간을 낮게 유지합니다.
+- **Pure Java** – 네이티브 종속성이 없으며 JDK 8+가 실행되는 모든 플랫폼에서 동작합니다.
+
+## 사전 요구 사항
+- **JDK 8 or newer**가 설치되고 IDE에 설정되어 있어야 합니다.
+- **Maven**(또는 Gradle)으로 의존성을 관리합니다.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Java OOP 개념 및 Maven 프로젝트 구조에 대한 기본적인 이해가 필요합니다.
+
+## GroupDocs.Search for Java 설정
+
+### Maven 설정
+`pom.xml` 파일에 저장소와 의존성을 추가합니다:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### 직접 다운로드
+또는 공식 릴리스 페이지에서 최신 JAR를 다운로드합니다:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### 라이선스 획득
+전체 기능을 사용하려면 다음 중 하나를 선택합니다:
+
+1. **Free trial** – 개발 및 테스트에 적합합니다.
+2. **Temporary evaluation license** – 체험판 제한을 연장합니다.
+3. **Commercial license** – 프로덕션 사용 시 모든 제한을 해제합니다.
+
+### 기본 초기화 및 설정
+다음 스니펫은 `Index` 클래스를 인스턴스화하여 **create a search index Java**를 수행하는 방법을 보여줍니다:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+인덱스가 준비되면 실제 faceted 및 복합 쿼리로 넘어갈 수 있습니다.
+
+## 검색 인덱스 Java 생성 – 간단한 Faceted 검색
+
+Faceted 검색은 최종 사용자가 미리 정의된 카테고리( facets )에서 값을 선택하여 결과를 좁히도록 합니다. 아래는 단계별 안내입니다.
+
+### 단계 1: 인덱스 생성
+먼저 `Index`를 인덱스 파일이 저장될 폴더로 지정합니다.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### 단계 2: 문서를 인덱스에 추가
+GroupDocs.Search에 원본 문서가 위치한 경로를 알려줍니다. 지원되는 모든 파일 형식(PDF, DOCX, TXT 등)이 자동으로 인덱싱됩니다.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### 단계 3: 텍스트 쿼리로 Content 필드 검색 수행
+간단한 텍스트 쿼리는 `content` 필드를 기준으로 필터링합니다. `content: Pellentesque` 구문은 본문에 *Pellentesque* 단어가 포함된 문서만 반환합니다.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### 단계 4: 객체 쿼리를 사용한 검색 수행
+객체 기반 쿼리는 세밀한 제어를 제공합니다 여기서는 단어 쿼리를 만들고, 이를 필드 쿼리로 감싼 뒤 실행합니다.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## 검색 인덱스 Java 생성 – 복합 쿼리 검색
+
+복합 쿼리는 여러 필드, Boolean 연산자 및 구문 검색을 결합합니다. 이는 e‑commerce 필터링이나 법률 문서 조사와 같은 시나리오에 이상적입니다.
+
+### 단계 1: 복합 쿼리를 위한 인덱스 생성
+같은 폴더 구조를 재사용합니다; 간단한 시나리오와 복합 시나리오 모두에서 인덱스를 공유할 수 있습니다.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### 단계 2: 텍스트 쿼리로 검색 수행
+다음 쿼리는 파일 이름에 *lorem* **and** *ipsum* **or** 본문에 두 개의 정확한 구문 중 하나가 포함된 경우를 찾습니다.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### 단계 3: 객체 쿼리를 사용한 검색 수행
+객체 기반 구문은 텍스트 쿼리와 동일한 로직을 제공하지만 타입 안전성과 IDE 지원을 제공합니다.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Faceted 및 복합 검색의 실용적인 적용 사례
+
+| 시나리오 | Faceting이 도움이 되는 방법 | 예시 쿼리 |
+|----------|---------------------------|-----------|
+| **E‑commerce 카탈로그** | 카테고리, 가격, 브랜드별 필터링 | `category: Electronics AND price:[100 TO 500]` |
+| **법률 문서 저장소** | 사건 번호, 관할 구역별 좁히기 | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **연구 아카이브** | 저자, 출판 연도, 키워드 결합 | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **기업 인트라넷** | 파일 유형 및 부서별 검색 | `filetype: pdf AND department: HR` |
+
+이 예시들은 **create search index java** 기술을 마스터하면 데이터 집약적인 애플리케이션에서 얼마나 큰 변화를 가져올 수 있는지를 보여줍니다.
+
+## 일반적인 함정 및 문제 해결
+- **Empty results** – 문서가 정상적으로 추가되었는지 `index.getDocumentCount()` 로 확인합니다.
+- **Stale index** – 파일을 추가하거나 삭제한 후 `index.update()` 를 호출해 인덱스를 최신 상태로 유지합니다.
+- **Incorrect field names** – 오타를 방지하려면 `CommonFieldNames` 상수(`Content`, `FileName` 등)를 사용합니다.
+- **Performance bottlenecks** – 대용량 컬렉션의 경우 `index.setCacheSize()` 를 활성화하거나 전용 SSD에 인덱스 폴더를 두는 것을 고려합니다.
+
+## 자주 묻는 질문
+
+**Q: GroupDocs.Search를 Spring Boot와 함께 사용할 수 있나요?**
+A: 물론 가능합니다. Maven 의존성을 추가하고, 인덱스를 Spring bean으로 구성한 뒤 필요할 때 주입하면 됩니다.
+
+**Q: 라이브러리가 사용자 정의 메타데이터 필드를 지원하나요?**
+A: 예. 인덱싱 중에 사용자 정의 필드를 추가할 수 있으며, 이후 faceting에 활용할 수 있습니다.
+
+**Q: 인덱스는 얼마나 크게 성장할 수 있나요?**
+A: 인덱스는 디스크 기반이며 수백만 개의 문서를 처리할 수 있습니다. 충분한 저장 공간을 확보하고 캐시 설정을 모니터링하면 됩니다.
+
+**Q: 결과를 관련성 순으로 정렬할 방법이 있나요?**
+A: GroupDocs.Search는 자동으로 매치 점수를 부여합니다. `SearchResult.getDocument(i).getScore()` 로 점수를 확인할 수 있습니다.
+
+**Q: 암호화된 PDF를 인덱싱하면 어떻게 되나요?**
+A: 문서를 추가할 때 비밀번호를 제공하면 됩니다: `index.add(filePath, password)`.
+
+## 결론
+
+이제 **creating a search index Java**를 GroupDocs.Search와 함께 사용해 문서를 추가하고, 간단한 faceted 쿼리와 정교한 Boolean 검색을 모두 구현할 수 있게 되었습니다. 이러한 기능을 통해 e‑commerce 플랫폼부터 기업 지식 베이스에 이르기까지 다양한 애플리케이션에서 빠르고 정확하며 사용자 친화적인 검색 경험을 제공할 수 있습니다.
+
+다음 단계가 준비되셨나요? **GroupDocs.Search**의 **highlighting**, **suggestions**, **real‑time indexing** 등 고급 기능을 탐색해 애플리케이션의 검색 파워를 한층 끌어올리세요.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 for Java
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/korean/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/korean/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/korean/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
@@ -0,0 +1,247 @@
+---
+date: '2025-12-16'
+description: GroupDocs.Search for Java를 사용하여 날짜 범위 검색 및 파싯 검색과 같은 고급 검색 기능을 수행하는 방법을
+ 배우고, 오류 처리와 성능 최적화도 포함합니다.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - 날짜 범위 검색 및 고급 기능'
+type: docs
+url: /ko/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# GroupDocs.Search Java 마스터하기: 날짜 범위 검색 및 고급 기능
+
+오늘날 데이터 중심 애플리케이션에서 **date range search**는 문서를 시간 기간별로 필터링할 수 있게 해주는 핵심 기능으로, 관련성과 속도를 크게 향상시킵니다.언스 포털, 전자상거래 카탈로그, 콘텐츠 관리 시스템을 구축하든, 날짜 범위 검색을 다른 강력한 쿼리 유형과 함께 마스터하면 솔루션이 유연하고 견고해집니다. 이 가이드는 오류 처리, 다양한 쿼리 유형, 성능 팁을 실제 Java 코드와 함께 단계별로 안내합니다.
+
+## 빠른 답변
+- **What is date range search?** 지정된 시작‑끝 구간 내에 날짜가 포함된 문서를 필터링합니다.
+- **Which library provides it?** GroupDocs.Search for Java.
+- **Do I need a license?** 개발에는 무료 체험판을 사용할 수 있으며, 상업적 사용을 위해서는 프로덕션 라이선스가 필요합니다.
+- **Can I combine it with other queries?** 예—날짜 범위를 boolean, faceted, 또는 regex 쿼리와 혼합할 수 있습니다.
+- **Is it fast for large datasets?** 올바르게 인덱싱하면 수백만 레코드에서도 검색이 1초 미만으로 수행됩니다.
+
+## 날짜 범위 검색이란?
+날짜 범위 검색은 “2023‑01‑01 ~~ 2023‑12‑31”와 같이 두 경계 사이에 있는 날짜가 포함된 문서를 찾을 수 있게 해줍니다. 보고서, 감사 로그 및 시간 기반 필터링이 중요한 모든 상황에서 필수적입니다.
+
+## 왜 GroupDocs.Search for Java를 사용해야 하나요?
+GroupDocs.Search는 simple, wildcard, faceted, numeric, date range, regex, boolean, phrase 등 다양한 쿼리 유형을 위한 통합 API를 제공하므로 여러 라이브러리를 동시에 다루지 않고도 정교한 검색 경험을 구축할 수 있습니다. 이벤트 기반 오류 처리 덕분에 인덱싱 파이프라인도 탄력적으로 유지됩니다.
+
+## 사전 요구 사항
+- **GroupDocs.Search Java library** (v25.4 이상).
+- **Java Development Kit (JDK)** 프로젝트와 호환되는 버전.
+- 의존성 관리를 위한 Maven (또는 수동 다운로드).
+
+### 필수 라이브러리 및 환경 설정
+Add the GroupDocs repository and dependency to your `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### 대체 설정
+For direct downloads, visit [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### 라이선스 및 초기 설정
+Start with a free trial or a temporary license:
+
+- 자세한 내용은 [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/)를 방문하세요.
+
+Now let’s create the index folder that will hold your searchable data.
+
+## GroupDocs.Search for Java 설정
+
+### 기본 초기화
+First, instantiate an `Index` object that points to a folder on disk:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+You now have a gateway to all search operations.
+
+## 구현 가이드
+
+### 기능 1: 인덱싱 오류 처리
+#### 인덱싱 오류를 캡처하는 방법 (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Why it matters*: By listening to `ErrorOccurred`, you can log problems, retry failed files, or alert users without crashing the whole process.
+
+### 기능 2: 간단 검색 쿼리
+#### 간단 검색이란?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Result*: Returns every document containing the term **volutpat**.
+
+### 기능 3: 와일드카드 검색 쿼리
+#### 와일드카드 검색은 어떻게 작동하나요?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Result*: Matches both **affect** and **effect**, showing the power of the `?` placeholder.
+
+### 기능 4: Faceted 검색 쿼리
+#### Java에서 faceted 검색 수행 방법
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Result*: Limits the search to the **Content** field, ideal for filtering by as category or author.
+
+### 기능 5: 숫자 범위 검색 쿼리
+#### 숫자 범위 검색 방법
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Result*: Retrieves documents where numeric values fall between 2000 and 3000.
+
+### 기능 6: 날짜 범위 검색 쿼리
+#### 날짜 범위 검색 실행 방법
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Explanation*: By customizing `SearchOptions`, you tell the engine to recognize dates in **MM/DD/YYYY** format, then retrieve all records between January 1 2000 and June 15 2001.
+
+### 기능 7: 정규식 검색 쿼리
+#### Java에서 regex 검색 실행 방법
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Result*: Finds sequences of three or more identical characters (e.g., “aaa”, “111”).
+
+### 기능 8: Boolean 검색 쿼리
+#### Java에서 Boolean 검색으로 조건 결합하는 방법
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Result*: Returns documents containing **justo** but excludes any that also contain **3456**.
+
+### 기능 9: 복합 Boolean 검색 쿼리
+#### 고급 Boolean 쿼리 작성 방법
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Result*: Looks for file names similar to “English” (allowing 1‑3 character variations) **or** content that contains both **3456** and **consequat**.
+
+### 기능 10: 구문 검색 쿼리
+#### 정확한 구문을 검색하는 방법
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Result*: Retrieves only documents that contain the exact phrase **ipsum dolor sit amet**.
+
+## 실용적인 적용 사례
+1. **E‑commerce Platforms** – faceted search Java를 사용해 제품을 사이즈, 색상, 브랜드별로 필터링합니다.
+2. **Content Management Systems** – boolean search Java와 phrase search를 결합해 정교한 편집 도구를 구현합니다.
+3. **Data Analysis Tools** – 날짜 범위 검색을 활용해 시간 기반 보고서와 대시보드를 생성합니다.
+
+## 일반적인 문제 및 해결책
+- **No results for date range search** – 문서의 날짜 형식이 추가한 커스텀 `DateFormat`과 일치하는지 확인하세요.
+- **Regex queries return too many hits** – 패턴을 다듬거나 추가 필드 한정자를 사용해 검색 범위를 제한하세요.
+- **Indexing errors not captured** – `index.add(...)`를 호출하기 **전**에 이벤트 핸들러가 연결되어 있는지 확인하세요.
+
+## 자주 묻는 질문
+
+**Q: 기간 검색을 다른 검색어 유형과 혼합할 수 있나요?**
+A: 물론입니다. 날짜 범위 조정을 부울 반대, 패싯 필터링 또는 정규식 패턴과 결합해 단일 쿼리 문자열을 사용할 수 있습니다.
+
+**Q: 날짜 형식을 변경한 후 인덱스를 다시 작성해야 합니까?**
+답: 예. 따라서 `SearchOptions`만 업데이트해도 기존 데이터가 큰 화를 내지 않을 것입니다. 형식을 변경한 후에는 문서를 다시 가져와야 합니다.
+
+**Q: GroupDocs.Search는 대규모 색인을 어떻게 처리합니까?**
+A: 증분 인덱싱 및 디스크 기반 외장을 사용하여 메모리 입력을 유지하면서 수백만 개의 문서까지 확장할 수 있습니다.
+
+**Q: 와일드카드 문자 수에 제한이 있나요?**
+A: 라이더 라이더는 처리를 거부하고, 라이더 카드('*term' 등)를 많이 사용하면 기능이 완화될 수 있습니다. 열려두사 또는 열려미사 몬스터를 우선 사용하세요.
+
+**Q: 프로덕션에는 어떤 라이선스 모델이 권장됩니까?**
+A: 영구 인스턴스 또는 구독권을 선택하면 업데이트, 지원 및 체험판 제한 없이 배포할 수 있습니다.
+
+## 결론
+By mastering **date range search** and the full suite of advanced query types offered by GroupDocs.Search for Java, you can build highly responsive, feature‑rich search experiences. Implement robust error handling, fine‑tune your index, and combine queries to meet virtually any retrieval scenario. Start experimenting today and elevate your application's data‑access capabilities.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 (Java)
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/polish/_index.md b/content/polish/_index.md
new file mode 100644
index 00000000..a52ab504
--- /dev/null
+++ b/content/polish/_index.md
@@ -0,0 +1,76 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Przeglądaj kolekcję samouczków GroupDocs.Search dla programistów .NET
+ i Java. Opanuj indeksowanie dokumentów, możliwości wyszukiwania i zaawansowane funkcje
+ bez wysiłku.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: Samouczek GroupDocs.Search – Odblokuj moc wyszukiwania dokumentów
+type: docs
+url: /pl/
+weight: 11
+---
+
+# Samouczek GroupDocs.Search – Odblokuj moc wyszukiwania dokumentów
+
+Witamy w centrum **samouczków GroupDocs.Search**, Twoim jedynym miejscu do opanowania wyszukiwania dokumentów i indeksowania na platformach .NET i Java. Niezależnie od tego, czy tworzysz małe wewnętrzne narzędzie, czy rozwiązanie na dużą skalę dla przedsiębiorstwa, te przewodniki krok po kroku pomogą Ci wdrożyć szybkie, dokładne i skalowalne funkcje wyszukiwania. Nauczysz się wszystkiego, od podstawowego indeksowania po zaawansowane budowanie zapytań, wykorzystując pełną moc GroupDocs.Search.
+
+## Dlaczego warto korzystać z samouczka GroupDocs.Search?
+
+Seria samouczków została zaprojektowana z myślą o rzeczywistych scenariuszach, abyś mógł szybko zastosować zdobytą wiedzę w swoich projektach. Postępując zgodnie z tymi przewodnikami, będziesz:
+
+- Zdobędziesz solidną wiedzę na temat technik **indeksowania dokumentów**.
+- Nauczysz się tworzyć wydajne **funkcje wyszukiwania**, które radzą sobie z dużymi zbiorami dokumentów.
+- Poznasz zaawansowane funkcje, takie jak wyszukiwanie przybliżone (fuzzy search), podświetlanie oraz rozproszone sieci wyszukiwania.
+- Skrócisz czas developmentu dzięki przejrzystym, opartym na przykładach instrukcjom zarówno dla środowisk .NET, jak i Java.
+
+{{% alert color="primary" %}}
+Poznaj potężne możliwości wyszukiwania dokumentów w .NET dzięki samouczkom GroupDocs.Search. Od podstawowego indeksowania po zaawansowane techniki wyszukiwania, nasze samouczki oferują kompleksowe wskazówki dla programistów na każdym poziomie zaawansowania. Zagłęb się w różne tematy, takie jak wyszukiwanie boolowskie, wyszukiwanie przybliżone, podświetlanie, zarządzanie słownikami oraz rozproszone rozwiązania wyszukiwania, odblokowując pełny potencjał GroupDocs.Search dla .NET. Podnieś funkcjonalność wyszukiwania w swojej aplikacji i usprawnij odkrywanie dokumentów dzięki naszym łatwym do śledzenia samouczkom.
+{{% /alert %}}
+
+## Samouczki GroupDocs.Search dla .NET
+
+### Podstawowe samouczki wyszukiwania .NET
+
+- [Indeksowanie](./net/indexing/)
+- [Wyszukiwanie](./net/searching/)
+- [Podświetlanie](./net/highlighting/)
+- [Słowniki i przetwarzanie języka](./net/dictionaries-language-processing/)
+- [Zarządzanie dokumentami](./net/document-management/)
+- [OCR i wyszukiwanie obrazów](./net/ocr-image-search/)
+- [Zaawansowane funkcje](./net/advanced-features/)
+- [Sieć wyszukiwania](./net/search-network/)
+- [Optymalizacja wydajności](./net/performance-optimization/)
+- [Obsługa wyjątków i logowanie](./net/exception-handling-logging/)
+- [Integracja i interoperacyjność](./net/integration-interoperability/)
+- [Licencjonowanie i konfiguracja](./net/licensing-configuration/)
+- [Ekstrakcja i przetwarzanie tekstu](./net/text-extraction-processing/)
+- [Zapytania i budowanie zapytań](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Odkryj kompleksowe samouczki GroupDocs.Search w Javie. Od podstawowych technik indeksowania po zaawansowane funkcje wyszukiwania, nasze przewodniki krok po kroku dostarczają programistom Java wiedzy potrzebnej do wdrożenia potężnych rozwiązań wyszukiwania dokumentów. Naucz się pracować z różnymi formatami dokumentów, w tym PDF, Word, Excel, prezentacjami i innymi. Opanuj techniki tworzenia indeksów, wykonywania różnych typów wyszukiwania, podświetlania wyników oraz optymalizacji wydajności, aby wzbogacić swoje aplikacje Java o solidne możliwości wyszukiwania.
+{{% /alert %}}
+
+## Samouczki GroupDocs.Search dla Java
+
+### Podstawowe samouczki wyszukiwania Java
+
+- [Rozpoczęcie](./java/getting-started/)
+- [Indeksowanie](./java/indexing/)
+- [Wyszukiwanie](./java/searching/)
+- [Podświetlanie](./java/highlighting/)
+- [Słowniki i przetwarzanie języka](./java/dictionaries-language-processing/)
+- [Zarządzanie dokumentami](./java/document-management/)
+- [OCR i wyszukiwanie obrazów](./java/ocr-image-search/)
+- [Zaawansowane funkcje](./java/advanced-features/)
+- [Sieć wyszukiwania](./java/search-network/)
+- [Optymalizacja wydajności](./java/performance-optimization/)
+- [Obsługa wyjątków i logowanie](./java/exception-handling-logging/)
+- [Licencjonowanie i konfiguracja](./java/licensing-configuration/)
+- [Ekstrakcja i przetwarzanie tekstu](./java/text-extraction-processing/)
+
+---
+
+**Ostatnia aktualizacja:** 2025-12-16
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/polish/java/advanced-features/_index.md b/content/polish/java/advanced-features/_index.md
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--- /dev/null
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@@ -0,0 +1,59 @@
+---
+date: 2025-12-16
+description: Dowiedz się, jak utworzyć indeks wyszukiwania i wdrożyć zakres dat, wyszukiwanie
+ fasetowe oraz filtrowanie dokumentów za pomocą samouczków GroupDocs.Search w języku
+ Java.
+title: 'Utwórz indeks wyszukiwania - samouczki GroupDocs.Search Java'
+type: docs
+url: /pl/java/advanced-features/
+weight: 8
+---
+
+# Utwórz indeks wyszukiwania: Samouczki GroupDocs.Search Java
+
+Witamy w centrum **tworzenia indeksu wyszukiwania** i odblokowywania zaawansowanych możliwości wyszukiwania z GroupDocs.Search dla Java. Niezależnie od tego, czy chcesz **implement date range** zapytań, zastosować **file extension filtering Java**, czy zbudować **complex search Java** rozwiązania, te samouczki zapewniają krok po kroku wskazówki, przykłady z rzeczywistego świata oraz gotowy do uruchomienia kod. Po zakończeniu tego przewodnika zrozumiesz, jak projektować potężne doświadczenia wyszukiwania, które skalują się przy dużych zbiorach dokumentów.
+
+## Jak utworzyć indeks wyszukiwania przy użyciu GroupDocs.Search Java?
+Budowanie solidnego indeksu wyszukiwania jest podstawą każdej zaawansowanej funkcji wyszukiwania. W poniższych samouczkach zobaczysz, jak:
+
+* Skonfigurować indeks i efektywnie dodawać dokumenty.
+* Wykorzystać metadane i atrybuty do wzbogacenia wyników wyszukiwania.
+* Zastosować filtry takie jak **document filtering java** i **file extension filtering java**, aby zawęzić wyniki.
+* Wykonać **complex search java** zapytania łączące wiele kryteriów, w tym ograniczenia **implement date range**.
+
+## Dostępne samouczki
+
+### [Wyszukiwanie dokumentów w oparciu o fragmenty w Javie: Kompletny przewodnik używający GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Dowiedz się, jak zaimplementować wydajne wyszukiwanie dokumentów oparte na fragmentach z GroupDocs.Search dla Java. Zwiększ produktywność i zarządzaj dużymi zestawami danych bezproblemowo.
+
+### [Wyszukiwania fasetowe i złożone w Javie: Opanuj GroupDocs.Search dla zaawansowanych funkcji](./faceted-complex-search-groupdocs-java/)
+Naucz się wdrażać wyszukiwania fasetowe i złożone w aplikacjach Java przy użyciu GroupDocs.Search, podnosząc funkcjonalność wyszukiwania i doświadczenie użytkownika.
+
+### [Implementacja GroupDocs.Search Java: Kompletny przewodnik po indeksowaniu i raportowaniu](./groupdocs-search-java-index-report-guide/)
+Opanuj GroupDocs.Search w Java pod kątem efektywnego indeksowania dokumentów i raportowania. Naucz się tworzyć indeksy, dodawać dokumenty i generować raporty dzięki temu szczegółowemu przewodnikowi.
+
+### [Opanuj wyszukiwania w przedziale dat w Javie z GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Kodowy samouczek dla GroupDocs.Search Java
+
+### [Opanuj GroupDocs.Search Java: Zaawansowane funkcje wyszukiwania dla efektywnego pobierania danych](./groupdocs-search-java-advanced-search-features/)
+Naucz się opanować zaawansowane funkcje wyszukiwania w GroupDocs.Search dla Java, w tym obsługę błędów, różne typy zapytań i optymalizację wydajności.
+
+### [Opanuj filtrowanie plików w Javie przy użyciu GroupDocs.Search: Przewodnik krok po kroku](./master-java-file-filtering-groupdocs-search/)
+Dowiedz się, jak efektywnie zarządzać i filtrować pliki w Javie przy użyciu GroupDocs.Search, w tym filtrowanie po rozszerzeniach, operatory logiczne i więcej.
+
+### [Mistrzostwo w GroupDocs.Search dla Java: Kompletny przewodnik po indeksowaniu dokumentów i wyszukiwaniu](./groupdocs-search-java-implementation-guide/)
+Naucz się wdrażać GroupDocs.Search w Java dzięki temu kompleksowemu przewodnikowi. Odkryj solidne funkcje ekstrakcji tekstu, serializacji, indeksowania i wyszukiwania.
+
+## Dodatkowe zasoby
+
+- [Dokumentacja GroupDocs.Search dla Java](https://docs.groupdocs.com/search/java/)
+- [Referencja API GroupDocs.Search dla Java](https://reference.groupdocs.com/search/java/)
+- [Pobierz GroupDocs.Search dla Java](https://releases.groupdocs.com/search/java/)
+- [Forum GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [Bezpłatne wsparcie](https://forum.groupdocs.com/)
+- [Licencja tymczasowa](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Ostatnia aktualizacja:** 2025-12-16
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/polish/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/polish/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
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--- /dev/null
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@@ -0,0 +1,253 @@
+---
+date: '2025-12-16'
+description: Naucz się tworzyć indeksy wyszukiwania w Javie i implementować wyszukiwania
+ fasetowe oraz złożone przy użyciu GroupDocs.Search, zwiększając wydajność wyszukiwania
+ i doświadczenie użytkownika.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Utwórz indeks wyszukiwania w Javie – Wyszukiwania fasetowe i złożone
+type: docs
+url: /pl/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Utwórz indeks wyszukiwania Java – Wyszukiwania fasetowane i złożone
+
+Implementacja potężnego **search experience** w Javie może wydawać się przytłaczająca, szczególnie gdy musisz **create search index Java** projekty obsługujące duże kolekcje dokumentów. Na szczęście **GroupDocs.Search for Java** udostępnia bogate API, które pozwala budować zapytania fasetowane i złożone przy użyciu zaledwie kilku linii kodu. W tym samouczku dowiesz się, jak skonfigurować bibliotekę, **create a search index Java**, dodać dokumenty i uruchomić zarówno proste wyszukiwania fasetowane, jak i zaawansowane zapytania wielokryterialne.
+
+## Szybkie odpowiedzi
+- **What is a faceted search?** Sposób filtrowania wyników według predefiniowanych kategorii (np. typ pliku, data).
+- **How do I create a search index Java?** Zainicjalizuj obiekt `Index` wskazujący na folder i dodaj dokumenty.
+- **Can I combine multiple criteria?** Tak — użyj zapytań opartych na obiektach lub operatorów Boolean w zapytaniu tekstowym.
+- **Do I need a license?** Bezpłatna wersja próbna działa w środowisku deweloperskim; licencja komercyjna usuwa ograniczenia.
+- **Which IDE works best?** Dowolne IDE Java (IntelliJ IDEA, Eclipse, NetBeans) działa bez problemu.
+
+## Co to jest „create search index java”?
+Tworzenie indeksu wyszukiwania w Javie oznacza budowanie struktury danych umożliwiającej przeszukiwanie, która przechowuje metadane i treść dokumentów, zapewniając szybkie odnajdywanie na podstawie zapytań użytkownika. Dzięki GroupDocs.Search indeks znajduje się na dysku, może być aktualizowany przyrostowo i obsługuje zaawansowane funkcje, takie jak faceting i złożona logika Boolean.
+
+## Dlaczego używać GroupDocs.Search do zapytań fasetowanych i złożonych?
+- **Out‑of‑the‑box faceting** – filtrowanie po polach, takich jak nazwa pliku, rozmiar lub własne metadane.
+- **Rich query language** – łączenie zapytań tekstowych, frazowych i polowych przy użyciu operatorów AND/OR/NOT.
+- **Scalable performance** – indeksuje miliony dokumentów, utrzymując niskie opóźnienia wyszukiwania.
+- **Pure Java** – brak zależności natywnych, działa na każdej platformie z JDK 8+.
+
+## Wymagania wstępne
+
+Zanim zaczniemy, upewnij się, że masz następujące elementy:
+
+- **JDK 8 or newer** zainstalowane i skonfigurowane w IDE.
+- **Maven** (lub Gradle) do zarządzania zależnościami.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Podstawową znajomość koncepcji OOP w Javie oraz struktury projektu Maven.
+
+## Konfiguracja GroupDocs.Search dla Java
+
+### Konfiguracja Maven
+Dodaj repozytorium i zależność do pliku `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Bezpośrednie pobranie
+Alternatywnie pobierz najnowszy plik JAR ze strony oficjalnych wydań:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Uzyskanie licencji
+Aby odblokować pełną funkcjonalność:
+
+1. **Free trial** – idealny do rozwoju i testów.
+2. **Temporary evaluation license** – wydłuża limity wersji próbnej.
+3. **Commercial license** – usuwa wszystkie ograniczenia w środowisku produkcyjnym.
+
+### Podstawowa inicjalizacja i konfiguracja
+Poniższy fragment kodu pokazuje, jak **create a search index Java** poprzez utworzenie obiektu `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+## Jak utworzyć search index java – Proste wyszukiwanie fasetowane
+
+Wyszukiwanie fasetowane pozwala użytkownikom końcowym zawęzić wyniki, wybierając wartości z predefiniowanych kategorii (facetów). Poniżej znajdziesz krok po kroku instrukcję.
+
+### Krok 1: Utwórz indeks
+Najpierw wskaż `Index` na folder, w którym będą przechowywane pliki indeksu.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Krok 2: Dodaj dokumenty do indeksu
+Powiedz GroupDocs.Search, gdzie znajdują się Twoje dokumenty źródłowe. Wszystkie obsługiwane typy plików (PDF, DOCX, TXT itp.) zostaną automatycznie zaindeksowane.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Krok 3: Wykonaj wyszukiwanie w polu Content przy użyciu zapytania tekstowego
+Szybkie zapytanie tekstowe filtruje po polu `content`. Składnia `content: Pellentesque` ogranicza wyniki do dokumentów zawierających słowo *Pellentesque* w treści.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Krok 4: Wykonaj wyszukiwanie przy użyciu zapytania obiektowego
+Zapytania oparte na obiektach dają precyzyjną kontrolę. Tutaj budujemy zapytanie słowne, otaczamy je zapytaniem pola i wykonujemy je.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Jak utworzyć search index java – Złożone zapytanie wyszukiwania
+
+Złożone zapytania łączą wiele pól, operatory Boolean i wyszukiwanie frazowe. Są idealne w scenariuszach, takich jak filtry e‑commerce czy badania dokumentów prawnych.
+
+### Krok 1: Utwórz indeks dla zapytań złożonych
+Użyj tej samej struktury folderów; możesz współdzielić indeks zarówno w prostych, jak i złożonych scenariuszach.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Krok 2: Wykonaj wyszukiwanie przy użyciu zapytania tekstowego
+Poniższe zapytanie wyszukuje pliki o nazwie *lorem* **and** *ipsum* **or** zawartość zawierającą jedną z dwóch dokładnych fraz.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Krok 3: Wykonaj wyszukiwanie przy użyciu zapytania obiektowego
+Budowa oparta na obiektach odzwierciedla zapytanie tekstowe, ale zapewnia bezpieczeństwo typów i wsparcie IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Praktyczne zastosowania wyszukiwań fasetowanych i złożonych
+
+| Scenariusz | Jak faceting pomaga | Przykładowe zapytanie |
+|------------|----------------------|-----------------------|
+| **Katalog e‑commerce** | Filtrowanie po kategorii, cenie, marce | `category: Electronics AND price:[100 TO 500]` |
+| **Repozytorium dokumentów prawnych** | Zawężanie po numerze sprawy, jurysdykcji | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Archiwa badawcze** | Łączenie autora, roku publikacji, słów kluczowych | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Intranet przedsiębiorstwa** | Wyszukiwanie po typie pliku i dziale | `filetype: pdf AND department: HR` |
+
+## Typowe pułapki i rozwiązywanie problemów
+- **Empty results** – Sprawdź, czy dokumenty zostały pomyślnie dodane (`index.getDocumentCount()` może pomóc).
+- **Stale index** – Po dodaniu lub usunięciu plików wywołaj `index.update()`, aby utrzymać indeks w synchronizacji.
+- **Incorrect field names** – Używaj stałych `CommonFieldNames` (`Content`, `FileName` itp.), aby uniknąć literówek.
+- **Performance bottlenecks** – W przypadku bardzo dużych kolekcji rozważ włączenie `index.setCacheSize()` lub użycie dedykowanego SSD dla folderu indeksu.
+
+## Najczęściej zadawane pytania
+
+**Q: Czy mogę używać GroupDocs.Search z Spring Boot?**
+A: Oczywiście. Wystarczy dodać zależność Maven, skonfigurować indeks jako bean Spring i wstrzyknąć go tam, gdzie jest potrzebny.
+
+**Q: Czy biblioteka obsługuje własne pola metadanych?**
+A: Tak – możesz dodać pola definiowane przez użytkownika podczas indeksowania, a następnie facetingować je.
+
+**Q: Jak duży może być indeks?**
+A: Indeks jest oparty na dysku i może obsługiwać miliony dokumentów; wystarczy zapewnić odpowiednią pojemność i monitorować ustawienia pamięci podręcznej.
+
+**Q: Czy istnieje sposób na ranking wyników według trafności?**
+A: GroupDocs.Search automatycznie ocenia dopasowania; wynik można pobrać za pomocą `SearchResult.getDocument(i).getScore()`.
+
+**Q: Co się stanie, jeśli zaindeksuję zaszyfrowane pliki PDF?**
+A: Podaj hasło podczas dodawania dokumentu: `index.add(filePath, password)`.
+
+## Zakończenie
+
+Do tej pory powinieneś czuć się pewnie **creating a search index Java** przy użyciu GroupDocs.Search, dodawać dokumenty i tworzyć zarówno proste zapytania fasetowane, jak i zaawansowane wyszukiwania Boolean. Te możliwości pozwalają dostarczać szybkie, dokładne i przyjazne dla użytkownika doświadczenia wyszukiwania w szerokim zakresie aplikacji — od platform e‑commerce po korporacyjne bazy wiedzy.
+
+Gotowy na kolejny krok? Poznaj zaawansowane funkcje **GroupDocs.Search**, takie jak **highlighting**, **suggestions** i **real‑time indexing**, aby jeszcze bardziej wzmocnić możliwości wyszukiwania w Twojej aplikacji.
+
+---
+
+**Ostatnia aktualizacja:** 2025-12-16
+**Testowano z:** GroupDocs.Search 25.4 for Java
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/polish/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/polish/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
new file mode 100644
index 00000000..beca0992
--- /dev/null
+++ b/content/polish/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
@@ -0,0 +1,248 @@
+---
+date: '2025-12-16'
+description: Dowiedz się, jak wykonywać wyszukiwanie w przedziale dat oraz inne zaawansowane
+ funkcje wyszukiwania, takie jak wyszukiwanie fasetowe w Javie, korzystając z GroupDocs.Search
+ for Java, w tym obsługę błędów i optymalizację wydajności.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Wyszukiwanie zakresu dat i zaawansowane funkcje'
+type: docs
+url: /pl/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Opanowanie GroupDocs.Search Java: Wyszukiwanie w przedziale dat i zaawansowane funkcje
+
+W dzisiejszych aplikacjach opartych na danych, **date range search** jest kluczową funkcją, która pozwala filtrować dokumenty według okresów czasu, znacząco poprawiając trafność i szybkość. Niezależnie od tego, czy tworzysz portal zgodności, katalog e‑commerce, czy system zarządzania treścią, opanowanie wyszukiwania w przedziale dat wraz z innymi potężnymi typami zapytań sprawi, że Twoje rozwiązanie będzie zarówno elastyczne, jak i solidne. Ten przewodnik przeprowadzi Cię przez obsługę błędów, pełny zestaw typów zapytań oraz wskazówki dotyczące wydajności, wszystko z prawdziwym kodem Java, który możesz skopiować i wkleić.
+
+## Szybkie odpowiedzi
+- **What is date range search?** Filtracja dokumentów zawierających daty w określonym przedziale od‑do.
+- **Which library provides it?** GroupDocs.Search for Java.
+- **Do I need a license?** Darmowa wersja próbna działa w fazie rozwoju; licencja produkcyjna jest wymagana do użytku komercyjnego.
+- **Can I combine it with other queries?** Tak — łącz zakresy dat z zapytaniami boolean, faceted lub regex.
+- **Is it fast for large datasets?** Przy prawidłowym indeksowaniu wyszukiwania trwają mniej niż sekundę, nawet przy milionach rekordów.
+
+## Czym jest date range search?
+Date range search pozwala znaleźć dokumenty, które zawierają daty mieszczące się pomiędzy dwoma granicami, takimi jak „2023‑01‑01 ~~ 2023‑12‑31”. Jest to niezbędne w raportach, dziennikach audytu i wszelkich scenariuszach, w których istotne jest filtrowanie oparte na czasie.
+
+## Dlaczego używać GroupDocs.Search for Java?
+GroupDocs.Search oferuje jednolite API dla wielu typów zapytań — simple, wildcard, faceted, numeric, date range, regex, boolean i phrase — dzięki czemu możesz tworzyć zaawansowane doświadczenia wyszukiwania bez konieczności używania wielu bibliotek. Jego obsługa błędów oparta na zdarzeniach zapewnia również odporność Twojego procesu indeksowania.
+
+## Wymagania wstępne
+- **GroupDocs.Search Java library** (v25.4 lub nowsza).
+- **Java Development Kit (JDK)** kompatybilny z Twoim projektem.
+- Maven do zarządzania zależnościami (lub ręczne pobranie).
+
+### Wymagane biblioteki i konfiguracja środowiska
+Add the GroupDocs repository and dependency to your `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Alternatywna konfiguracja
+For direct downloads, visit [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Licencjonowanie i początkowa konfiguracja
+Start with a free trial or a temporary license:
+
+- Visit [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) for details.
+
+Teraz utwórzmy folder indeksu, który będzie przechowywać Twoje dane do przeszukiwania.
+
+## Konfiguracja GroupDocs.Search for Java
+
+### Podstawowa inicjalizacja
+First, instantiate an `Index` object that points to a folder on disk:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Teraz masz dostęp do wszystkich operacji wyszukiwania.
+
+## Przewodnik implementacji
+
+### Funkcja 1: Obsługa błędów podczas indeksowania
+#### Jak przechwycić błędy indeksowania (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Dlaczego to ważne*: Nasłuchując zdarzenia `ErrorOccurred`, możesz logować problemy, ponawiać nieudane pliki lub ostrzegać użytkowników bez przerywania całego procesu.
+
+### Funkcja 2: Proste zapytanie wyszukiwania
+#### Czym jest proste wyszukiwanie?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Wynik*: Zwraca każdy dokument zawierający termin **volutpat**.
+
+### Funkcja 3: Zapytanie z wieloznacznikiem
+#### Jak działa wyszukiwanie z wieloznacznikiem?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Wynik*: Dopasowuje zarówno **affect**, jak i **effect**, pokazując moc symbolu `?`.
+
+### Funkcja 4: Zapytanie fasetowe
+#### Jak wykonać fasetowe wyszukiwanie w Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Wynik*: Ogranicza wyszukiwanie do pola **Content**, idealne do filtrowania według metadanych, takich jak kategoria lub autor.
+
+### Funkcja 5: Zapytanie o zakres liczbowy
+#### Jak wyszukiwać zakresy liczbowe
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Wynik*: Pobiera dokumenty, w których wartości liczbowe mieszczą się między 2000 a 3000.
+
+### Funkcja 6: Zapytanie o zakres dat
+#### Jak wykonać wyszukiwanie w przedziale dat
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Wyjaśnienie*: Poprzez dostosowanie `SearchOptions` informujesz silnik, aby rozpoznawał daty w formacie **MM/DD/YYYY**, a następnie pobiera wszystkie rekordy pomiędzy 1 stycznia 2000 a 15 czerwca 2001.
+
+### Funkcja 7: Zapytanie wyrażenia regularnego
+#### Jak uruchomić wyszukiwanie regex w Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Wynik*: Znajduje sekwencje trzech lub więcej identycznych znaków (np. „aaa”, „111”).
+
+### Funkcja 8: Zapytanie Boolean
+#### Jak łączyć warunki przy użyciu wyszukiwania Boolean w Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Wynik*: Zwraca dokumenty zawierające **justo**, ale wyklucza te, które dodatkowo zawierają **3456**.
+
+### Funkcja 9: Złożone zapytanie Boolean
+#### Jak tworzyć zaawansowane zapytania Boolean
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Wynik*: Szuka nazw plików podobnych do „English” (z dopuszczeniem 1‑3 znakowych wariacji) **lub** treści, które zawierają zarówno **3456**, jak i **consequat**.
+
+### Funkcja 10: Zapytanie frazowe
+#### Jak wyszukiwać dokładne frazy
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Wynik*: Pobiera tylko dokumenty, które zawierają dokładną frazę **ipsum dolor sit amet**.
+
+## Praktyczne zastosowania
+1. **E‑commerce Platforms** – Użyj faceted search Java, aby filtrować produkty według rozmiaru, koloru i marki.
+2. **Content Management Systems** – Połącz boolean search Java z wyszukiwaniem fraz, aby napędzać zaawansowane narzędzia redakcyjne.
+3. **Data Analysis Tools** – Wykorzystaj date range search do generowania raportów i pulpitów nawigacyjnych opartych na czasie.
+
+## Częste problemy i rozwiązania
+- **No results for date range search** – Sprawdź, czy format dat w dokumentach odpowiada niestandardowemu `DateFormat`, który dodałeś.
+- **Regex queries return too many hits** – Dopracuj wzorzec lub ogranicz zakres wyszukiwania dodatkowymi kwalifikatorami pola.
+- **Indexing errors not captured** – Upewnij się, że obsługa zdarzeń jest podłączona **przed** wywołaniem `index.add(...)`.
+
+## Najczęściej zadawane pytania
+
+**Q: Czy mogę łączyć date range search z innymi typami zapytań?**
+A: Zdecydowanie. Możesz połączyć klauzulę date range z operatorami boolean, filtrami faceted lub wzorcami regex w jednym ciągu zapytania.
+
+**Q: Czy muszę przebudować indeks po zmianie formatów dat?**
+A: Tak. Indeks przechowuje tokenizowane terminy; samo zaktualizowanie `SearchOptions` nie spowoduje ponownego tokenizowania istniejących danych. Przeindeksuj dokumenty po zmianie formatów.
+
+**Q: Jak GroupDocs.Search radzi sobie z dużymi indeksami?**
+A: Używa indeksowania przyrostowego i przechowywania na dysku, co pozwala skalować do milionów dokumentów przy niskim zużyciu pamięci.
+
+**Q: Czy istnieje limit liczby znaków wieloznacznych?**
+A: Znaki wieloznaczne są przetwarzane wydajnie, ale użycie wielu wiodących wieloznaczników (np. `*term`) może obniżać wydajność. Preferuj wieloznaczniki prefiksowe lub sufiksowe.
+
+**Q: Jaki model licencjonowania jest zalecany dla produkcji?**
+A: Licencja wieczysta lub subskrypcyjna od GroupDocs zapewnia aktualizacje, wsparcie oraz możliwość wdrożenia bez ograniczeń wersji próbnej.
+
+## Podsumowanie
+Opanowując **date range search** oraz pełny zestaw zaawansowanych typów zapytań oferowanych przez GroupDocs.Search for Java, możesz tworzyć wysoce responsywne, bogate w funkcje doświadczenia wyszukiwania. Wdroż solidną obsługę błędów, dopracuj indeks i łącz zapytania, aby sprostać praktycznie każdemu scenariuszowi wyszukiwania. Zacznij eksperymentować już dziś i podnieś możliwości dostępu do danych w swojej aplikacji.
+
+---
+
+**Ostatnia aktualizacja:** 2025-12-16
+**Testowane z:** GroupDocs.Search 25.4 (Java)
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/portuguese/_index.md b/content/portuguese/_index.md
new file mode 100644
index 00000000..34cb52ff
--- /dev/null
+++ b/content/portuguese/_index.md
@@ -0,0 +1,76 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Explore a coleção de tutoriais do GroupDocs.Search para desenvolvedores
+ .NET e Java. Domine a indexação de documentos, recursos de pesquisa e funcionalidades
+ avançadas com facilidade.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: Tutorial do GroupDocs.Search – Desbloqueie o Poder da Busca de Documentos
+type: docs
+url: /pt/
+weight: 11
+---
+
+# Tutorial do GroupDocs.Search – Desbloqueie o Poder da Busca de Documentos
+
+Welcome to the **GroupDocs.Search tutorial** hub, your one‑stop destination for mastering document search and indexing across .NET and Java platforms. Whether you’re building a small internal tool or a large‑scale enterprise solution, these step‑by‑step guides will help you implement fast, accurate, and scalable search functionality. You’ll learn everything from basic indexing to sophisticated query building, all while leveraging the full power of GroupDocs.Search.
+
+## Por que usar o Tutorial do GroupDocs.Search?
+
+The tutorial series is designed with real‑world scenarios in mind, so you can quickly apply what you learn to your projects. By following these guides you will:
+
+- Gain a solid understanding of **document indexing** techniques. → Obtenha uma compreensão sólida das técnicas de **indexação de documentos**.
+- Learn how to craft efficient **search capabilities** that handle large document collections. → Aprenda a criar **capacidades de busca** eficientes que lidam com grandes coleções de documentos.
+- Explore advanced features such as fuzzy search, highlighting, and distributed search networks. → Explore recursos avançados como busca difusa, realce e redes de busca distribuídas.
+- Reduce development time with clear, example‑driven instructions for both .NET and Java environments. → Reduza o tempo de desenvolvimento com instruções claras e baseadas em exemplos para ambientes .NET e Java.
+
+{{% alert color="primary" %}}
+Explore powerful document search capabilities in .NET with GroupDocs.Search tutorials. From basic indexing to advanced search techniques, our tutorials offer comprehensive guidance for developers at all skill levels. Dive into various topics such as boolean search, fuzzy search, highlighting, dictionary management, and distributed search solutions, unlocking the full potential of GroupDocs.Search for .NET. Elevate your application's search functionality and streamline document discovery with our easy‑to‑follow tutorials.
+{{% /alert %}}
+
+## GroupDocs.Search for .NET Tutorials
+
+### Essential .NET Search Tutorials
+
+- [Indexação](./net/indexing/)
+- [Busca](./net/searching/)
+- [Realce](./net/highlighting/)
+- [Dicionários e Processamento de Linguagem](./net/dictionaries-language-processing/)
+- [Gerenciamento de Documentos](./net/document-management/)
+- [OCR e Busca de Imagens](./net/ocr-image-search/)
+- [Recursos Avançados](./net/advanced-features/)
+- [Rede de Busca](./net/search-network/)
+- [Otimização de Desempenho](./net/performance-optimization/)
+- [Tratamento de Exceções e Log](./net/exception-handling-logging/)
+- [Integração e Interoperabilidade](./net/integration-interoperability/)
+- [Licenciamento e Configuração](./net/licensing-configuration/)
+- [Extração e Processamento de Texto](./net/text-extraction-processing/)
+- [Consultas e Construção de Consultas](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Discover comprehensive tutorials for GroupDocs.Search in Java. From basic indexing techniques to advanced search functionality, our step‑by‑step guides provide Java developers with the knowledge to implement powerful document search solutions. Learn to work with various document formats including PDF, Word, Excel, presentations, and more. Master techniques for creating indexes, performing different search types, highlighting results, and optimizing performance to enhance your Java applications with robust search capabilities.
+{{% /alert %}}
+
+## GroupDocs.Search for Java Tutorials
+
+### Essential Java Search Tutorials
+
+- [Introdução](./java/getting-started/)
+- [Indexação](./java/indexing/)
+- [Busca](./java/searching/)
+- [Realce](./java/highlighting/)
+- [Dicionários e Processamento de Linguagem](./java/dictionaries-language-processing/)
+- [Gerenciamento de Documentos](./java/document-management/)
+- [OCR e Busca de Imagens](./java/ocr-image-search/)
+- [Recursos Avançados](./java/advanced-features/)
+- [Rede de Busca](./java/search-network/)
+- [Otimização de Desempenho](./java/performance-optimization/)
+- [Tratamento de Exceções e Log](./java/exception-handling-logging/)
+- [Licenciamento e Configuração](./java/licensing-configuration/)
+- [Extração e Processamento de Texto](./java/text-extraction-processing/)
+
+---
+
+**Last Updated:** 2025-12-16
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/portuguese/java/advanced-features/_index.md b/content/portuguese/java/advanced-features/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/portuguese/java/advanced-features/_index.md
@@ -0,0 +1,59 @@
+---
+date: 2025-12-16
+description: Aprenda a criar índice de pesquisa e implementar intervalo de datas,
+ busca facetada e filtragem de documentos com tutoriais Java do GroupDocs.Search.
+title: 'Criar Índice de Pesquisa - Tutoriais Java do GroupDocs.Search'
+type: docs
+url: /pt/java/advanced-features/
+weight: 8
+---
+
+# Criar Índice de Busca: Tutoriais GroupDocs.Search Java
+
+Bem-vindo ao hub para **creating a search index** e desbloquear recursos avançados de busca com GroupDocs.Search para Java. Seja você está procurando **implement date range** consultas, aplicar **file extension filtering Java**, ou construir soluções **complex search Java**, estes tutoriais fornecem orientação passo a passo, exemplos do mundo real e código pronto para execução. Ao final deste guia, você entenderá como projetar experiências de busca poderosas que escalam com grandes coleções de documentos.
+
+## Como criar um índice de busca com GroupDocs.Search Java?
+
+Construir um índice de busca robusto é a base para qualquer recurso de busca sofisticado. Nos tutoriais abaixo, você verá como:
+
+* Configurar um índice e adicionar documentos de forma eficiente.
+* Usar metadados e atributos para enriquecer os resultados da busca.
+* Aplicar filtros como **document filtering java** e **file extension filtering java** para restringir os resultados.
+* Executar consultas **complex search java** que combinam múltiplos critérios, incluindo restrições **implement date range**.
+
+## Tutoriais Disponíveis
+
+### [Busca de Documentos por Chunk em Java: Um Guia Abrangente Usando GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Aprenda a implementar buscas eficientes de documentos por chunk com GroupDocs.Search para Java. Aumente a produtividade e gerencie grandes conjuntos de dados sem esforço.
+
+### [Buscas Facetadas e Complexas em Java: Domine o GroupDocs.Search para Recursos Avançados](./faceted-complex-search-groupdocs-java/)
+Aprenda a implementar buscas facetadas e complexas em aplicações Java usando GroupDocs.Search, aprimorando a funcionalidade de busca e a experiência do usuário.
+
+### [Implementar GroupDocs.Search Java: Guia Abrangente de Indexação e Relatórios](./groupdocs-search-java-index-report-guide/)
+Domine o GroupDocs.Search em Java para indexação e geração de relatórios de documentos de forma eficiente. Aprenda a criar índices, adicionar documentos e gerar relatórios com este guia detalhado.
+
+### [Domine Buscas por Intervalo de Datas em Java com GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Um tutorial de código para GroupDocs.Search Java
+
+### [Domine GroupDocs.Search Java: Recursos Avançados de Busca para Recuperação Eficiente de Dados](./groupdocs-search-java-advanced-search-features/)
+Aprenda a dominar recursos avançados de busca no GroupDocs.Search para Java, incluindo tratamento de erros, vários tipos de consultas e otimização de desempenho.
+
+### [Domine a Filtragem de Arquivos Java Usando GroupDocs.Search: Um Guia Passo‑a‑Passo](./master-java-file-filtering-groupdocs-search/)
+Aprenda a gerenciar e filtrar arquivos de forma eficiente em Java usando GroupDocs.Search, incluindo extensão de arquivo, operadores lógicos e mais.
+
+### [Dominando GroupDocs.Search para Java: Seu Guia Completo de Indexação e Busca de Documentos](./groupdocs-search-java-implementation-guide/)
+Aprenda a implementar o GroupDocs.Search em Java com este guia abrangente. Descubra extração robusta de texto, serialização, indexação e recursos de busca.
+
+## Recursos Adicionais
+
+- [Documentação do GroupDocs.Search para Java](https://docs.groupdocs.com/search/java/)
+- [Referência da API do GroupDocs.Search para Java](https://reference.groupdocs.com/search/java/)
+- [Baixar GroupDocs.Search para Java](https://releases.groupdocs.com/search/java/)
+- [Fórum do GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [Suporte Gratuito](https://forum.groupdocs.com/)
+- [Licença Temporária](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Última Atualização:** 2025-12-16
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/portuguese/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/portuguese/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/portuguese/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -0,0 +1,256 @@
+---
+date: '2025-12-16'
+description: Aprenda a criar um índice de pesquisa em Java e a implementar buscas
+ facetadas e complexas usando o GroupDocs.Search, aprimorando o desempenho da pesquisa
+ e a experiência do usuário.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Criar Índice de Busca Java – Pesquisas Facetadas e Complexas
+type: docs
+url: /pt/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Criar Índice de Busca Java – Pesquisas Facetadas e Complexas
+
+Implementar uma **experiência de busca** poderosa em Java pode parecer assustador, especialmente quando você precisa **criar índice de busca Java** em projetos que lidam com grandes coleções de documentos. Felizmente, **GroupDocs.Search for Java** fornece uma API rica que permite construir consultas facetadas e complexas com apenas algumas linhas de código. Neste tutorial você descobrirá como configurar a biblioteca, **criar um índice de busca Java**, adicionar documentos e executar tanto buscas facetadas simples quanto consultas sofisticadas de múltiplos critérios.
+
+## Respostas Rápidas
+- **O que é uma busca facetada?** Uma forma de filtrar resultados por categorias predefinidas (por exemplo, tipo de arquivo, data).
+- **Como crio um índice de busca Java?** Inicialize um objeto `Index` apontando para uma pasta e adicione documentos.
+- **Posso combinar múltiplos critérios?** Sim—use consultas baseadas em objetos ou operadores Booleanos em uma consulta de texto.
+- **Preciso de uma licença?** Um teste gratuito funciona para desenvolvimento; uma licença comercial remove limites.
+- **Qual IDE funciona melhor?** Qualquer IDE Java (IntelliJ IDEA, Eclipse, NetBeans) funciona bem.
+
+## O que é “criar índice de busca java”?
+Criar um índice de busca em Java significa construir uma estrutura de dados pesquisável que armazena metadados e conteúdo dos documentos, permitindo recuperação rápida com base nas consultas dos usuários. Com o GroupDocs.Search, o índice reside no disco, pode ser atualizado incrementalmente e suporta recursos avançados como facetas e lógica Boolean complexa.
+
+## Por que usar GroupDocs.Search para consultas facetadas e complexas?
+- **Facetas prontas** – filtre por campos como nome do arquivo, tamanho ou metadados personalizados.
+- **Linguagem de consulta rica** – combine consultas de texto, frase e campo usando operadores AND/OR/NOT.
+- **Desempenho escalável** – indexa milhões de documentos mantendo baixa latência de busca.
+- **Java puro** – sem dependências nativas, funciona em qualquer plataforma que execute JDK 8+.
+
+## Pré-requisitos
+
+Antes de mergulharmos, certifique‑se de que você tem o seguinte:
+
+- **JDK 8 ou superior** instalado e configurado em sua IDE.
+- **Maven** (ou Gradle) para gerenciamento de dependências.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Familiaridade básica com conceitos OOP de Java e estrutura de projetos Maven.
+
+## Configurando GroupDocs.Search para Java
+
+### Configuração Maven
+Adicione o repositório e a dependência ao seu arquivo `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Download Direto
+Alternativamente, faça o download do JAR mais recente na página oficial de lançamentos:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Aquisição de Licença
+Para desbloquear a funcionalidade completa:
+
+1. **Teste gratuito** – perfeito para desenvolvimento e testes.
+2. **Licença de avaliação temporária** – estende os limites do teste.
+3. **Licença comercial** – remove todas as restrições para uso em produção.
+
+### Inicialização e Configuração Básicas
+O trecho a seguir mostra como **criar um índice de busca Java** instanciando a classe `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Com o índice pronto, podemos avançar para consultas facetadas e complexas do mundo real.
+
+## Como criar índice de busca java – Busca Facetada Simples
+
+A busca facetada permite que os usuários finais restrinjam resultados selecionando valores de categorias predefinidas (facetas). Abaixo está um passo‑a‑passo.
+
+### Etapa 1: Criar um Índice
+Primeiro, aponte o `Index` para uma pasta onde os arquivos de índice serão armazenados.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Etapa 2: Adicionar Documentos ao Índice
+Informe ao GroupDocs.Search onde seus documentos de origem estão. Todos os tipos de arquivo suportados (PDF, DOCX, TXT, etc.) serão indexados automaticamente.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Etapa 3: Executar uma Busca no Campo de Conteúdo com uma Consulta de Texto
+Uma consulta de texto rápida filtra pelo campo `content`. A sintaxe `content: Pellentesque` limita os resultados a documentos que contenham a palavra *Pellentesque* no texto do corpo.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Etapa 4: Executar uma Busca Usando uma Consulta de Objeto
+Consultas baseadas em objeto dão controle granular. Aqui construímos uma consulta de palavra, a encapsulamos em uma consulta de campo e a executamos.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Como criar índice de busca java – Busca com Consulta Complexa
+
+Consultas complexas combinam múltiplos campos, operadores Booleanos e buscas por frases. Isso é ideal para cenários como filtros de e‑commerce ou pesquisa de documentos jurídicos.
+
+### Etapa 1: Criar um Índice para Consultas Complexas
+Reutilize a mesma estrutura de pastas; você pode compartilhar o índice entre cenários simples e complexos.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Etapa 2: Executar uma Busca com uma Consulta de Texto
+A consulta a seguir procura arquivos nomeados *lorem* **e** *ipsum* **ou** conteúdo contendo uma das duas frases exatas.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Etapa 3: Executar uma Busca com uma Consulta de Objeto
+A construção baseada em objeto espelha a consulta textual, mas oferece segurança de tipo e assistência da IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Aplicações Práticas de Buscas Facetadas & Complexas
+
+| Cenário | Como a Faceta Ajuda | Consulta Exemplo |
+|----------|-------------------|---------------|
+| **Catálogo de e‑commerce** | Filtrar por categoria, preço, marca | `category: Electronics AND price:[100 TO 500]` |
+| **Repositório de documentos legais** | Restringir por número do caso, jurisdição | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Arquivos de pesquisa** | Combinar autor, ano de publicação, palavras‑chave | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Intranet corporativa** | Buscar por tipo de arquivo e departamento | `filetype: pdf AND department: HR` |
+
+## Armadilhas Comuns & Solução de Problemas
+
+- **Resultados vazios** – Verifique se os documentos foram adicionados com sucesso (`index.getDocumentCount()` pode ajudar).
+- **Índice desatualizado** – Após adicionar ou remover arquivos, chame `index.update()` para manter o índice sincronizado.
+- **Nomes de campo incorretos** – Use as constantes `CommonFieldNames` (`Content`, `FileName`, etc.) para evitar erros de digitação.
+- **Gargalos de desempenho** – Para coleções enormes, considere habilitar `index.setCacheSize()` ou usar um SSD dedicado para a pasta do índice.
+
+## Perguntas Frequentes
+
+**Q: Posso usar GroupDocs.Search com Spring Boot?**
+A: Absolutamente. Basta adicionar a dependência Maven, configurar o índice como um bean Spring e injetá‑lo onde for necessário.
+
+**Q: A biblioteca suporta campos de metadados personalizados?**
+A: Sim – você pode adicionar campos definidos pelo usuário durante a indexação e então facetar sobre eles.
+
+**Q: Quão grande o índice pode crescer?**
+A: O índice é baseado em disco e pode lidar com milhões de documentos; basta garantir armazenamento suficiente e monitorar as configurações de cache.
+
+**Q: Existe uma forma de classificar os resultados por relevância?**
+A: O GroupDocs.Search pontua automaticamente as correspondências; você pode obter a pontuação via `SearchResult.getDocument(i).getScore()`.
+
+**Q: O que acontece se eu indexar PDFs criptografados?**
+A: Forneça a senha ao adicionar o documento: `index.add(filePath, password)`.
+
+## Conclusão
+
+Até agora você deve estar confortável **criando um índice de busca Java** com o GroupDocs.Search, adicionando documentos e elaborando tanto consultas facetadas simples quanto buscas Booleanas sofisticadas. Essas capacidades permitem que você ofereça experiências de busca rápidas, precisas e amigáveis ao usuário em uma ampla gama de aplicações — desde plataformas de e‑commerce até bases de conhecimento corporativas.
+
+Pronto para o próximo passo? Explore os recursos avançados do **GroupDocs.Search**, como **realce**, **sugestões** e **indexação em tempo real**, para potencializar ainda mais a busca em sua aplicação.
+
+---
+
+**Última Atualização:** 2025-12-16
+**Testado com:** GroupDocs.Search 25.4 for Java
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/portuguese/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/portuguese/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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+---
+date: '2025-12-16'
+description: Aprenda a realizar buscas por intervalo de datas e outros recursos avançados
+ de pesquisa, como busca facetada em Java, usando o GroupDocs.Search para Java, incluindo
+ tratamento de erros e otimização de desempenho.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Busca por Intervalo de Datas e Recursos Avançados'
+type: docs
+url: /pt/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Dominando o GroupDocs.Search Java: Busca por Intervalo de Datas & Recursos Avançados
+
+Nas aplicações orientadas a dados de hoje, **date range search** é uma capacidade central que permite filtrar documentos por períodos de tempo, melhorando drasticamente a relevância e a velocidade. Seja construindo um portal de conformidade, um catálogo de e‑commerce ou um sistema de gerenciamento de conteúdo, dominar a **date range search** juntamente com outros tipos poderosos de consulta tornará sua solução flexível e robusta. Este guia orienta você sobre tratamento de erros, uma gama completa de tipos de consulta e dicas de desempenho, tudo com código Java real que pode ser copiado‑e‑colado.
+
+## Respostas Rápidas
+- **O que é date range search?** Filtrando documentos que contêm datas dentro de um intervalo especificado de início a fim.
+- **Qual biblioteca a fornece?** GroupDocs.Search for Java.
+- **Preciso de licença?** Um teste gratuito funciona para desenvolvimento; uma licença de produção é necessária para uso comercial.
+- **Posso combiná‑la com outras consultas?** Sim — misture intervalos de datas com consultas booleanas, facetadas ou regex.
+- **É rápida para grandes volumes de dados?** Quando indexado corretamente, as buscas são executadas em menos de um segundo mesmo em milhões de registros.
+
+## O que é date range search?
+A **date range search** permite localizar documentos que incluem datas entre dois limites, como “2023‑01‑01 ~~ 2023‑12‑31”. É essencial para relatórios, logs de auditoria e qualquer cenário onde o filtro baseado em tempo seja importante.
+
+## Por que usar GroupDocs.Search for Java?
+O GroupDocs.Search oferece uma API unificada para vários tipos de consulta — simples, curinga, facetada, numérica, **date range**, regex, boolean e frase — permitindo criar experiências de busca sofisticadas sem lidar com múltiplas bibliotecas. Seu tratamento de erros orientado a eventos também mantém seu pipeline de indexação resiliente.
+
+## Pré‑requisitos
+- **GroupDocs.Search Java library** (v25.4 ou mais recente).
+- **Java Development Kit (JDK)** compatível com seu projeto.
+- Maven para gerenciamento de dependências (ou download manual).
+
+### Bibliotecas Necessárias e Configuração do Ambiente
+Adicione o repositório GroupDocs e a dependência ao seu `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Configuração Alternativa
+Para downloads diretos, visite [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Licenciamento e Configuração Inicial
+Comece com um teste gratuito ou uma licença temporária:
+
+- Visite [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) para detalhes.
+
+Agora vamos criar a pasta de índice que armazenará seus dados pesquisáveis.
+
+## Configurando o GroupDocs.Search for Java
+
+### Inicialização Básica
+Primeiro, instancie um objeto `Index` que aponta para uma pasta no disco:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Agora você tem um gateway para todas as operações de busca.
+
+## Guia de Implementação
+
+### Recurso 1: Tratamento de Erros na Indexação
+#### Como capturar erros de indexação (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Por que isso importa*: Ao escutar `ErrorOccurred`, você pode registrar problemas, tentar novamente arquivos com falha ou alertar usuários sem travar todo o processo.
+
+### Recurso 2: Consulta de Busca Simples
+#### O que é uma busca simples?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Retorna todos os documentos que contêm o termo **volutpat**.
+
+### Recurso 3: Consulta de Busca Curinga
+#### Como funciona a busca curinga?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Corresponde a **affect** e **effect**, mostrando o poder do placeholder `?`.
+
+### Recurso 4: Consulta de Busca Facetada
+#### Como executar busca facetada Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Limita a busca ao campo **Content**, ideal para filtrar por metadados como categoria ou autor.
+
+### Recurso 5: Consulta de Intervalo Numérico
+#### Como buscar intervalos numéricos
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Recupera documentos onde os valores numéricos estão entre 2000 e 3000.
+
+### Recurso 6: Consulta de Intervalo de Datas
+#### Como executar date range search
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Explicação*: Ao personalizar `SearchOptions`, você indica ao motor para reconhecer datas no formato **MM/DD/YYYY**, e então recuperar todos os registros entre 1 de janeiro de 2000 e 15 de junho de 2001.
+
+### Recurso 7: Consulta de Expressão Regular
+#### Como executar regex search Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Encontra sequências de três ou mais caracteres idênticos (ex.: “aaa”, “111”).
+
+### Recurso 8: Consulta Booleana
+#### Como combinar condições com boolean search Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Retorna documentos que contêm **justo** mas exclui quaisquer que também contenham **3456**.
+
+### Recurso 9: Consulta Booleana Complexa
+#### Como criar consultas booleanas avançadas
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Procura nomes de arquivos semelhantes a “English” (permitindo variações de 1‑3 caracteres) **ou** conteúdo que contenha tanto **3456** quanto **consequat**.
+
+### Recurso 10: Consulta de Frase
+#### Como buscar frases exatas
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Recupera apenas documentos que contêm a frase exata **ipsum dolor sit amet**.
+
+## Aplicações Práticas
+1. **Plataformas de E‑commerce** – Use faceted search Java para filtrar produtos por tamanho, cor e marca.
+2. **Sistemas de Gerenciamento de Conteúdo** – Combine boolean search Java com phrase search para potencializar ferramentas editoriais sofisticadas.
+3. **Ferramentas de Análise de Dados** – Aproveite date range search para gerar relatórios e painéis baseados em tempo.
+
+## Problemas Comuns & Soluções
+- **Nenhum resultado para date range search** – Verifique se o formato de data nos seus documentos corresponde ao `DateFormat` personalizado que você adicionou.
+- **Consultas regex retornam muitos resultados** – Refine o padrão ou limite o escopo da busca com qualificadores de campo adicionais.
+- **Erros de indexação não capturados** – Garanta que o manipulador de eventos esteja anexado **antes** de chamar `index.add(...)`.
+
+## Perguntas Frequentes
+
+**Q: Posso misturar date range search com outros tipos de consulta?**
+A: Absolutamente. Você pode combinar uma cláusula de date range com operadores booleanos, filtros facetados ou padrões regex em uma única string de consulta.
+
+**Q: Preciso reconstruir o índice após mudar os formatos de data?**
+A: Sim. O índice armazena termos tokenizados; atualizar apenas `SearchOptions` não re‑tokeniza os dados existentes. Re‑indexe os documentos após mudar os formatos.
+
+**Q: Como o GroupDocs.Search lida com índices grandes?**
+A: Ele usa indexação incremental e armazenamento em disco, permitindo escalar para milhões de documentos mantendo o uso de memória baixo.
+
+**Q: Existe um limite para o número de caracteres curinga?**
+A: Os curingas são processados eficientemente, mas usar muitos curingas iniciais (ex.: `*term`) pode degradar o desempenho. Prefira curingas de prefixo ou sufixo.
+
+**Q: Qual modelo de licenciamento é recomendado para produção?**
+A: Uma licença perpétua ou de assinatura da GroupDocs garante que você receba atualizações, suporte e a capacidade de implantar sem limitações de teste.
+
+## Conclusão
+Ao dominar **date range search** e toda a gama de tipos avançados de consulta oferecidos pelo GroupDocs.Search for Java, você pode construir experiências de busca altamente responsivas e repletas de recursos. Implemente um tratamento de erros robusto, ajuste finamente seu índice e combine consultas para atender praticamente qualquer cenário de recuperação. Comece a experimentar hoje e eleve as capacidades de acesso a dados da sua aplicação.
+
+---
+
+**Última atualização:** 2025-12-16
+**Testado com:** GroupDocs.Search 25.4 (Java)
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/russian/_index.md b/content/russian/_index.md
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Исследуйте коллекцию учебных материалов GroupDocs.Search для разработчиков
+ .NET и Java. Овладейте индексированием документов, возможностями поиска и продвинутыми
+ функциями без усилий.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: Учебник GroupDocs.Search – Откройте мощь поиска документов
+type: docs
+url: /ru/
+weight: 11
+---
+
+# GroupDocs.Search Tutorial – Откройте возможности поиска документов
+
+Добро пожаловать в центр **GroupDocs.Search tutorial** — ваш универсальный ресурс для освоения поиска документов и индексации на платформах .NET и Java. Независимо от того, создаёте ли вы небольшое внутреннее приложение или масштабное корпоративное решение, эти пошаговые руководства помогут вам реализовать быструю, точную и масштабируемую функцию поиска. Вы узнаете всё — от базовой индексации до сложного построения запросов, используя всю мощь GroupDocs.Search.
+
+## Почему стоит использовать GroupDocs.Search Tutorial?
+
+Серия руководств разработана с учётом реальных сценариев, чтобы вы могли быстро применять полученные знания в своих проектах. Следуя этим руководствам, вы:
+
+- Получите прочное понимание техник **document indexing**.
+- Научитесь создавать эффективные **search capabilities**, способные обрабатывать большие коллекции документов.
+- Исследуйте расширенные возможности, такие как fuzzy search, highlighting и распределённые сети поиска.
+- Сократите время разработки с помощью чётких, основанных на примерах инструкций для сред .NET и Java.
+
+{{% alert color="primary" %}}
+Исследуйте мощные возможности поиска документов в .NET с помощью руководств GroupDocs.Search. От базовой индексации до продвинутых техник поиска, наши руководства предоставляют всесторонние рекомендации для разработчиков любого уровня. Погрузитесь в различные темы, такие как boolean search, fuzzy search, highlighting, управление словарями и распределённые решения поиска, раскрывая весь потенциал GroupDocs.Search для .NET. Улучшите функциональность поиска в вашем приложении и упростите обнаружение документов с нашими простыми в освоении руководствами.
+{{% /alert %}}
+
+## Руководства GroupDocs.Search для .NET
+
+### Основные .NET руководства по поиску
+
+- [Индексация](./net/indexing/)
+- [Поиск](./net/searching/)
+- [Подсветка](./net/highlighting/)
+- [Словари и обработка языка](./net/dictionaries-language-processing/)
+- [Управление документами](./net/document-management/)
+- [OCR и поиск изображений](./net/ocr-image-search/)
+- [Продвинутые функции](./net/advanced-features/)
+- [Сеть поиска](./net/search-network/)
+- [Оптимизация производительности](./net/performance-optimization/)
+- [Обработка исключений и журналирование](./net/exception-handling-logging/)
+- [Интеграция и совместимость](./net/integration-interoperability/)
+- [Лицензирование и конфигурация](./net/licensing-configuration/)
+- [Извлечение и обработка текста](./net/text-extraction-processing/)
+- [Запросы и построение запросов](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Откройте для себя всесторонние руководства по GroupDocs.Search для Java. От базовых техник индексации до продвинутой функциональности поиска, наши пошаговые руководства предоставляют Java‑разработчикам знания, необходимые для реализации мощных решений поиска документов. Научитесь работать с различными форматами документов, включая PDF, Word, Excel, презентации и другие. Овладейте техниками создания индексов, выполнения различных типов поиска, подсветки результатов и оптимизации производительности, чтобы улучшить ваши Java‑приложения с надёжными возможностями поиска.
+{{% /alert %}}
+
+## Руководства GroupDocs.Search для Java
+
+### Основные Java руководства по поиску
+
+- [Начало работы](./java/getting-started/)
+- [Индексация](./java/indexing/)
+- [Поиск](./java/searching/)
+- [Подсветка](./java/highlighting/)
+- [Словари и обработка языка](./java/dictionaries-language-processing/)
+- [Управление документами](./java/document-management/)
+- [OCR и поиск изображений](./java/ocr-image-search/)
+- [Продвинутые функции](./java/advanced-features/)
+- [Сеть поиска](./java/search-network/)
+- [Оптимизация производительности](./java/performance-optimization/)
+- [Обработка исключений и журналирование](./java/exception-handling-logging/)
+- [Лицензирование и конфигурация](./java/licensing-configuration/)
+- [Извлечение и обработка текста](./java/text-extraction-processing/)
+
+---
+
+**Последнее обновление:** 2025-12-16
+**Автор:** GroupDocs
\ No newline at end of file
diff --git a/content/russian/java/advanced-features/_index.md b/content/russian/java/advanced-features/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/russian/java/advanced-features/_index.md
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+---
+date: 2025-12-16
+description: Узнайте, как создать поисковый индекс и реализовать поиск по диапазону
+ дат, фасетный поиск и фильтрацию документов с помощью учебных материалов GroupDocs.Search
+ Java.
+title: 'Создать поисковый индекс - учебные материалы GroupDocs.Search Java'
+type: docs
+url: /ru/java/advanced-features/
+weight: 8
+---
+
+# Создание поискового индекса: Руководства GroupDocs.Search Java
+
+Добро пожаловать в центр **создания поискового индекса** и раскрытия расширенных возможностей поиска с GroupDocs.Search для Java. Если вы хотите **реализовать диапазон дат** запросы, применить **фильтрацию расширения файлов Java**, или построить **сложный поиск Java** решения, эти руководства предоставляют пошаговые инструкции, практические примеры и готовый к запуску код. К концу этого руководства вы поймёте, как разрабатывать мощные поисковые решения, масштабируемые для больших коллекций документов.
+
+## Как создать поисковый индекс с GroupDocs.Search Java?
+
+Создание надёжного поискового индекса — это основа любой сложной функции поиска. В приведённых ниже руководствах вы узнаете, как:
+
+* Настроить индекс и эффективно добавлять документы.
+* Использовать метаданные и атрибуты для обогащения результатов поиска.
+* Применять фильтры, такие как **document filtering java** и **file extension filtering java**, чтобы сузить результаты.
+* Выполнять запросы **complex search java**, которые комбинируют несколько критериев, включая ограничения **implement date range**.
+
+## Доступные руководства
+
+### [Поиск документов по частям в Java: Полное руководство по использованию GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Узнайте, как реализовать эффективный поиск документов по частям с GroupDocs.Search для Java. Повышайте производительность и без проблем управляйте большими наборами данных.
+
+### [Фасетный и сложный поиск в Java: Освойте GroupDocs.Search для расширенных функций](./faceted-complex-search-groupdocs-java/)
+Узнайте, как реализовать фасетный и сложный поиск в Java‑приложениях с помощью GroupDocs.Search, улучшая функциональность поиска и пользовательский опыт.
+
+### [Реализация GroupDocs.Search Java: Полное руководство по индексации и отчетности](./groupdocs-search-java-index-report-guide/)
+Освойте GroupDocs.Search в Java для эффективной индексации документов и создания отчетов. Узнайте, как создавать индексы, добавлять документы и генерировать отчёты с помощью этого подробного руководства.
+
+### [Освойте поиск по диапазону дат в Java с GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Кодовое руководство по GroupDocs.Search Java
+
+### [Освойте GroupDocs.Search Java: Расширенные функции поиска для эффективного извлечения данных](./groupdocs-search-java-advanced-search-features/)
+Научитесь использовать расширенные функции поиска в GroupDocs.Search для Java, включая обработку ошибок, различные типы запросов и оптимизацию производительности.
+
+### [Освойте фильтрацию файлов Java с помощью GroupDocs.Search: Пошаговое руководство](./master-java-file-filtering-groupdocs-search/)
+Узнайте, как эффективно управлять и фильтровать файлы в Java с помощью GroupDocs.Search, включая фильтрацию по расширению файлов, логические операторы и многое другое.
+
+### [Освоение GroupDocs.Search для Java: Полное руководство по индексации документов и поиску](./groupdocs-search-java-implementation-guide/)
+Узнайте, как внедрить GroupDocs.Search в Java с помощью этого всестороннего руководства. Откройте для себя надёжное извлечение текста, сериализацию, индексацию и функции поиска.
+
+## Дополнительные ресурсы
+
+- [Документация GroupDocs.Search для Java](https://docs.groupdocs.com/search/java/)
+- [Справочник API GroupDocs.Search для Java](https://reference.groupdocs.com/search/java/)
+- [Скачать GroupDocs.Search для Java](https://releases.groupdocs.com/search/java/)
+- [Форум GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [Бесплатная поддержка](https://forum.groupdocs.com/)
+- [Временная лицензия](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Последнее обновление:** 2025-12-16
+**Автор:** GroupDocs
\ No newline at end of file
diff --git a/content/russian/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/russian/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
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--- /dev/null
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+---
+date: '2025-12-16'
+description: Изучите, как создавать поисковые индексы на Java и реализовывать фасетный
+ и сложный поиск с помощью GroupDocs.Search, повышая производительность поиска и
+ улучшая пользовательский опыт.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Создание поискового индекса на Java – фасетный и сложный поиск
+type: docs
+url: /ru/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Создание поискового индекса Java – Фасетный и сложный поиск
+
+Реализация мощного **search experience** в Java может показаться сложной, особенно когда нужно **create search index Java** проекты, работающие с большими коллекциями документов. К счастью, **GroupDocs.Search for Java** предоставляет богатый API, позволяющий создавать фасетные и сложные запросы всего в несколько строк кода. В этом руководстве вы узнаете, как настроить библиотеку, **create a search index Java**, добавить документы и выполнять как простые фасетные поиски, так и сложные многокритериальные запросы.
+
+## Быстрые ответы
+- **What is a faceted search?** Способ фильтрации результатов по предопределённым категориям (например, тип файла, дата).
+- **How do I create a search index Java?** Инициализировать объект `Index`, указывающий на папку, и добавить документы.
+- **Can I combine multiple criteria?** Да — используйте объектно‑ориентированные запросы или логические операторы Boolean в текстовом запросе.
+- **Do I need a license?** Бесплатная пробная версия подходит для разработки; коммерческая лицензия снимает ограничения.
+- **Which IDE works best?** Любая Java IDE (IntelliJ IDEA, Eclipse, NetBeans) подходит.
+
+## Что такое “create search index java”?
+Создание поискового индекса в Java означает построение структуры данных, по которой можно выполнять поиск, хранящей метаданные и содержимое документов, обеспечивая быстрый поиск по пользовательским запросам. С GroupDocs.Search индекс хранится на диске, может обновляться инкрементально и поддерживает расширенные функции, такие как фасетирование и сложная логика Boolean.
+
+## Почему использовать GroupDocs.Search для фасетных и сложных запросов?
+- **Out‑of‑the‑box faceting** – фильтрация по полям, таким как имя файла, размер или пользовательские метаданные.
+- **Rich query language** – комбинирование текстовых, фразовых и полевых запросов с использованием операторов AND/OR/NOT.
+- **Scalable performance** – индексирует миллионы документов, сохраняя низкую задержку поиска.
+- **Pure Java** – без нативных зависимостей, работает на любой платформе с JDK 8+.
+
+## Предварительные требования
+Прежде чем мы начнём, убедитесь, что у вас есть следующее:
+- **JDK 8 or newer** установлен и настроен в вашей IDE.
+- **Maven** (или Gradle) для управления зависимостями.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Базовое знакомство с концепциями ООП в Java и структурой Maven‑проекта.
+
+## Настройка GroupDocs.Search для Java
+
+### Настройка Maven
+Добавьте репозиторий и зависимость в ваш файл `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Прямое скачивание
+В качестве альтернативы скачайте последнюю JAR‑файл со страницы официальных релизов:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Приобретение лицензии
+Чтобы разблокировать полную функциональность:
+1. **Free trial** – идеально для разработки и тестирования.
+2. **Temporary evaluation license** – расширяет ограничения пробной версии.
+3. **Commercial license** – снимает все ограничения для использования в продакшене.
+
+### Базовая инициализация и настройка
+Следующий фрагмент показывает, как **create a search index Java** путем создания экземпляра класса `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+С готовым индексом мы можем перейти к реальным фасетным и сложным запросам.
+
+## Как создать поисковый индекс Java – простой фасетный поиск
+
+Фасетный поиск позволяет конечным пользователям сузить результаты, выбирая значения из предопределённых категорий (фасетов). Ниже пошаговое руководство.
+
+### Шаг 1: Создание индекса
+Сначала укажите `Index` на папку, где будут храниться файлы индекса.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Шаг 2: Добавление документов в индекс
+Укажите GroupDocs.Search, где находятся ваши исходные документы. Все поддерживаемые типы файлов (PDF, DOCX, TXT и т.д.) будут автоматически проиндексированы.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Шаг 3: Выполнение поиска в поле Content с текстовым запросом
+Быстрый текстовый запрос фильтрует по полю `content`. Синтаксис `content: Pellentesque` ограничивает результаты документами, содержащими слово *Pellentesque* в основном тексте.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Шаг 4: Выполнение поиска с использованием объектного запроса
+Объектные запросы дают более тонкий контроль. Здесь мы создаём запрос слова, оборачиваем его в полевой запрос и выполняем его.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Как создать поисковый индекс Java – сложный запрос поиска
+
+Сложные запросы комбинируют несколько полей, логические операторы Boolean и поиск фраз. Это идеально подходит для сценариев, таких как фильтры в e‑commerce или исследование юридических документов.
+
+### Шаг 1: Создание индекса для сложных запросов
+Повторно используйте ту же структуру папок; вы можете использовать один индекс как для простых, так и для сложных сценариев.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Шаг 2: Выполнение поиска с текстовым запросом
+Следующий запрос ищет файлы с именем *lorem* **и** *ipsum* **или** содержимое, содержащее одну из двух точных фраз.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Шаг 3: Выполнение поиска с объектным запросом
+Объектное построение отражает текстовый запрос, но обеспечивает типобезопасность и поддержку IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Практические применения фасетного и сложного поиска
+
+| Сценарий | Как фасетирование помогает | Пример запроса |
+|----------|----------------------------|----------------|
+| **Каталог электронной коммерции** | Фильтрация по категории, цене, бренду | `category: Electronics AND price:[100 TO 500]` |
+| **Хранилище юридических документов** | Сужение по номеру дела, юрисдикции | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Исследовательские архивы** | Комбинация автора, года публикации, ключевых слов | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Корпоративный интранет** | Поиск по типу файла и отделу | `filetype: pdf AND department: HR` |
+
+Эти примеры показывают, почему освоение техник **create search index java** является переломным моментом для любого приложения, работающего с большими данными.
+
+## Распространённые ошибки и устранение неполадок
+- **Empty results** – Убедитесь, что документы были успешно добавлены (`index.getDocumentCount()` может помочь).
+- **Stale index** – После добавления или удаления файлов вызовите `index.update()`, чтобы синхронизировать индекс.
+- **Incorrect field names** – Используйте константы `CommonFieldNames` (`Content`, `FileName` и т.д.), чтобы избежать опечаток.
+- **Performance bottlenecks** – Для огромных коллекций рассмотрите возможность включения `index.setCacheSize()` или использования отдельного SSD для папки индекса.
+
+## Часто задаваемые вопросы
+
+**Q: Можно ли использовать GroupDocs.Search с Spring Boot?**
+A: Конечно. Просто добавьте зависимость Maven, настройте индекс как Spring‑bean и внедрите его там, где необходимо.
+
+**Q: Поддерживает ли библиотека пользовательские поля метаданных?**
+A: Да — вы можете добавить пользовательские поля при индексации и затем выполнять фасетирование по ним.
+
+**Q: Какой размер может достичь индекс?**
+A: Индекс хранится на диске и может обрабатывать миллионы документов; просто обеспечьте достаточное хранилище и контролируйте настройки кэша.
+
+**Q: Есть ли способ ранжировать результаты по релевантности?**
+A: GroupDocs.Search автоматически оценивает совпадения; вы можете получить оценку через `SearchResult.getDocument(i).getScore()`.
+
+**Q: Что происходит, если я индексирую зашифрованные PDF?**
+A: Укажите пароль при добавлении документа: `index.add(filePath, password)`.
+
+## Заключение
+
+К этому моменту вы должны чувствовать себя уверенно, **creating a search index Java** с помощью GroupDocs.Search, добавлять документы и формировать как простые фасетные запросы, так и сложные Boolean‑поиски. Эти возможности позволяют предоставлять быстрый, точный и удобный поиск в широком спектре приложений — от платформ электронной коммерции до корпоративных баз знаний.
+
+Готовы к следующему шагу? Исследуйте расширенные функции **GroupDocs.Search**, такие как **highlighting**, **suggestions** и **real‑time indexing**, чтобы ещё больше усилить поисковые возможности вашего приложения.
+
+**Последнее обновление:** 2025-12-16
+**Тестировано с:** GroupDocs.Search 25.4 for Java
+**Автор:** GroupDocs
\ No newline at end of file
diff --git a/content/russian/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/russian/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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+---
+date: '2025-12-16'
+description: Узнайте, как выполнять поиск по диапазону дат и другие расширенные функции
+ поиска, такие как фасетный поиск в Java, используя GroupDocs.Search для Java, включая
+ обработку ошибок и оптимизацию производительности.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Поиск по диапазону дат и расширенные функции'
+type: docs
+url: /ru/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Освоение GroupDocs.Search Java: Поиск по диапазону дат и расширенные возможности
+
+В современных приложениях, ориентированных на данные, **date range search** является ключевой возможностью, позволяющей фильтровать документы по временным периодам, существенно повышая релевантность и скорость. Независимо от того, создаёте ли вы портал соответствия, каталог электронной коммерции или систему управления контентом, освоение поиска по диапазону дат вместе с другими мощными типами запросов сделает ваше решение гибким и надёжным. Это руководство проведёт вас через обработку ошибок, полный набор типов запросов и рекомендации по производительности, всё с реальным Java‑кодом, который можно скопировать‑вставить.
+
+## Быстрые ответы
+- **Что такое поиск по диапазону дат?** Фильтрация документов, содержащих даты в заданном интервале от начала до конца.
+- **Какая библиотека предоставляет эту возможность?** GroupDocs.Search for Java.
+- **Нужна ли лицензия?** Бесплатная пробная версия подходит для разработки; для коммерческого использования требуется производственная лицензия.
+- **Можно ли комбинировать её с другими запросами?** Да — объединяйте диапазоны дат с булевыми, фасетными или regex‑запросами.
+- **Быстрый ли поиск для больших наборов данных?** При правильном индексировании поиск выполняется за субсекунду даже на миллионах записей.
+
+## Что такое поиск по диапазону дат?
+Поиск по диапазону дат позволяет находить документы, в которых даты находятся между двумя границами, например «2023‑01‑01 ~~ 2023‑12‑31». Это необходимо для отчётов, журналов аудита и любых сценариев, где важна фильтрация по времени.
+
+## Почему стоит использовать GroupDocs.Search for Java?
+GroupDocs.Search предлагает единый API для множества типов запросов — простых, с подстановочными знаками, фасетных, числовых, диапазонов дат, regex, булевых и фразовых — позволяя создавать сложные поисковые решения без необходимости использовать несколько библиотек. Обработчик событий ошибок делает ваш процесс индексации устойчивым.
+
+## Предварительные требования
+- **GroupDocs.Search Java library** (v25.4 или новее).
+- **Java Development Kit (JDK)**, совместимый с вашим проектом.
+- Maven для управления зависимостями (или ручная загрузка).
+
+### Необходимые библиотеки и настройка окружения
+Добавьте репозиторий GroupDocs и зависимость в ваш `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Альтернативная настройка
+Для прямой загрузки перейдите к [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Лицензирование и начальная настройка
+Начните с бесплатной пробной версии или временной лицензии:
+
+- Посетите [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) для получения подробностей.
+
+Теперь создадим папку индекса, в которой будут храниться ваши поисковые данные.
+
+## Настройка GroupDocs.Search for Java
+
+### Базовая инициализация
+Сначала создайте объект `Index`, указывающий на папку на диске:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Теперь у вас есть шлюз ко всем поисковым операциям.
+
+## Руководство по реализации
+
+### Функция 1: Обработка ошибок при индексации
+#### Как захватывать ошибки индексации (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Why it matters*: By listening to `ErrorOccurred`, you can log problems, retry failed files, or alert users without crashing the whole process.
+
+### Функция 2: Простой поисковый запрос
+#### Что такое простой поиск?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Result*: Returns every document containing the term **volutpat**.
+
+### Функция 3: Поиск с подстановочными знаками
+#### Как работает поиск с подстановочными знаками?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Result*: Matches both **affect** and **effect**, showing the power of the `?` placeholder.
+
+### Функция 4: Фасетный поисковый запрос
+#### Как выполнить фасетный поиск Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Result*: Limits the search to the **Content** field, ideal for filtering by metadata such as category or author.
+
+### Функция 5: Поиск числового диапазона
+#### Как искать числовые диапазоны
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Result*: Retrieves documents where numeric values fall between 2000 and 3000.
+
+### Функция 6: Поиск по диапазону дат
+#### Как выполнить поиск по диапазону дат
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Explanation*: By customizing `SearchOptions`, you tell the engine to recognize dates in **MM/DD/YYYY** format, then retrieve all records between January 1 2000 and June 15 2001.
+
+### Функция 7: Поиск с регулярными выражениями
+#### Как выполнить regex‑поиск Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Result*: Finds sequences of three or more identical characters (e.g., “aaa”, “111”).
+
+### Функция 8: Булевый поисковый запрос
+#### Как комбинировать условия с булевым поиском Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Result*: Returns documents containing **justo** but excludes any that also contain **3456**.
+
+### Функция 9: Сложный булевый поисковый запрос
+#### Как составлять продвинутые булевые запросы
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Result*: Looks for file names similar to “English” (allowing 1‑3 character variations) **or** content that contains both **3456** and **consequat**.
+
+### Функция 10: Поисковый запрос фразы
+#### Как искать точные фразы
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Result*: Retrieves only documents that contain the exact phrase **ipsum dolor sit amet**.
+
+## Практические применения
+1. **Платформы электронной коммерции** – используйте фасетный поиск Java для фильтрации товаров по размеру, цвету и бренду.
+2. **Системы управления контентом** – комбинируйте булевый поиск Java с поиском фраз для создания продвинутых редакционных инструментов.
+3. **Инструменты анализа данных** – применяйте поиск по диапазону дат для генерации временных отчётов и панелей мониторинга.
+
+## Распространённые проблемы и решения
+- **Нет результатов для поиска по диапазону дат** – проверьте, что формат даты в ваших документах соответствует пользовательскому `DateFormat`, который вы добавили.
+- **Regex‑запросы возвращают слишком много совпадений** – уточните шаблон или ограничьте область поиска дополнительными квалификаторами полей.
+- **Ошибки индексации не фиксируются** – убедитесь, что обработчик событий подключён **до** вызова `index.add(...)`.
+
+## Часто задаваемые вопросы
+
+**Q: Можно ли комбинировать поиск по диапазону дат с другими типами запросов?**
+A: Абсолютно. Вы можете объединять условие диапазона дат с булевыми операторами, фасетными фильтрами или regex‑шаблонами в одной строке запроса.
+
+**Q: Нужно ли перестраивать индекс после изменения форматов дат?**
+A: Да. Индекс хранит токенизированные термы; изменение только `SearchOptions` не пере‑токенизирует уже проиндексированные данные. После изменения форматов пере‑индексируйте документы.
+
+**Q: Как GroupDocs.Search обрабатывает большие индексы?**
+A: Он использует инкрементальное индексирование и хранение на диске, позволяя масштабироваться до миллионов документов при низком потреблении памяти.
+
+**Q: Есть ли ограничение на количество подстановочных знаков?**
+A: Подстановочные знаки обрабатываются эффективно, но использование большого количества ведущих подстановок (например, `*term`) может ухудшить производительность. Предпочтительно использовать префиксные или суффиксные подстановки.
+
+**Q: Какая модель лицензирования рекомендуется для продакшна?**
+A: Пожизненная или подписочная лицензия от GroupDocs гарантирует получение обновлений, поддержки и возможность развертывания без ограничений пробной версии.
+
+## Заключение
+Освоив **date range search** и полный набор продвинутых типов запросов, предлагаемых GroupDocs.Search for Java, вы сможете создавать высоко‑отзывчивые, функционально насыщенные поисковые решения. Реализуйте надёжную обработку ошибок, оптимизируйте индекс и комбинируйте запросы, чтобы покрыть практически любые сценарии извлечения данных. Начните экспериментировать уже сегодня и поднимите возможности доступа к данным вашего приложения на новый уровень.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 (Java)
+**Author:** GroupDocs
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Explore la colección de tutoriales de GroupDocs.Search para desarrolladores
+ .NET y Java. Domina la indexación de documentos, las capacidades de búsqueda y las
+ funciones avanzadas sin esfuerzo.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: Tutorial de GroupDocs.Search – Desbloquea el poder de la búsqueda de documentos
+type: docs
+url: /es/
+weight: 11
+---
+
+# Tutorial de GroupDocs.Search – Desbloquea el Poder de la Búsqueda de Documentos
+
+Bienvenido al hub de **tutoriales de GroupDocs.Search**, su destino único para dominar la búsqueda e indexación de documentos en plataformas .NET y Java. Ya sea que esté creando una pequeña herramienta interna o una solución empresarial a gran escala, estas guías paso a paso le ayudarán a implementar una funcionalidad de búsqueda rápida, precisa y escalable. Aprenderá todo, desde la indexación básica hasta la construcción sofisticada de consultas, todo mientras aprovecha todo el poder de GroupDocs.Search.
+
+## ¿Por qué usar el tutorial de GroupDocs.Search?
+
+La serie de tutoriales está diseñada con escenarios del mundo real en mente, para que pueda aplicar rápidamente lo que aprende a sus proyectos. Al seguir estas guías, usted:
+
+- Adquirir una comprensión sólida de las técnicas de **indexación de documentos**.
+- Aprender a crear **capacidades de búsqueda** eficientes que manejen grandes colecciones de documentos.
+- Explorar funciones avanzadas como búsqueda difusa, resaltado y redes de búsqueda distribuidas.
+- Reducir el tiempo de desarrollo con instrucciones claras y basadas en ejemplos para entornos .NET y Java.
+
+{{% alert color="primary" %}}
+Explore potentes capacidades de búsqueda de documentos en .NET con los tutoriales de GroupDocs.Search. Desde la indexación básica hasta técnicas de búsqueda avanzadas, nuestros tutoriales ofrecen una guía completa para desarrolladores de todos los niveles de habilidad. Sumérjase en diversos temas como búsqueda booleana, búsqueda difusa, resaltado, gestión de diccionarios y soluciones de búsqueda distribuida, desbloqueando todo el potencial de GroupDocs.Search para .NET. Mejore la funcionalidad de búsqueda de su aplicación y agilice el descubrimiento de documentos con nuestros tutoriales fáciles de seguir.
+{{% /alert %}}
+
+## Tutoriales de GroupDocs.Search para .NET
+
+### Tutoriales esenciales de búsqueda .NET
+
+- [Indexación](./net/indexing/)
+- [Búsqueda](./net/searching/)
+- [Resaltado](./net/highlighting/)
+- [Diccionarios y procesamiento de lenguaje](./net/dictionaries-language-processing/)
+- [Gestión de documentos](./net/document-management/)
+- [OCR y búsqueda de imágenes](./net/ocr-image-search/)
+- [Funciones avanzadas](./net/advanced-features/)
+- [Red de búsqueda](./net/search-network/)
+- [Optimización de rendimiento](./net/performance-optimization/)
+- [Manejo de excepciones y registro](./net/exception-handling-logging/)
+- [Integración e interoperabilidad](./net/integration-interoperability/)
+- [Licenciamiento y configuración](./net/licensing-configuration/)
+- [Extracción y procesamiento de texto](./net/text-extraction-processing/)
+- [Consultas y construcción de consultas](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Descubra tutoriales completos para GroupDocs.Search en Java. Desde técnicas básicas de indexación hasta funcionalidad de búsqueda avanzada, nuestras guías paso a paso brindan a los desarrolladores Java el conocimiento necesario para implementar soluciones poderosas de búsqueda de documentos. Aprenda a trabajar con varios formatos de documentos, incluidos PDF, Word, Excel, presentaciones y más. Domine técnicas para crear índices, realizar diferentes tipos de búsqueda, resaltar resultados y optimizar el rendimiento para mejorar sus aplicaciones Java con capacidades de búsqueda robustas.
+{{% /alert %}}
+
+## Tutoriales de GroupDocs.Search para Java
+
+### Tutoriales esenciales de búsqueda Java
+
+- [Comenzando](./java/getting-started/)
+- [Indexación](./java/indexing/)
+- [Búsqueda](./java/searching/)
+- [Resaltado](./java/highlighting/)
+- [Diccionarios y procesamiento de lenguaje](./java/dictionaries-language-processing/)
+- [Gestión de documentos](./java/document-management/)
+- [OCR y búsqueda de imágenes](./java/ocr-image-search/)
+- [Funciones avanzadas](./java/advanced-features/)
+- [Red de búsqueda](./java/search-network/)
+- [Optimización de rendimiento](./java/performance-optimization/)
+- [Manejo de excepciones y registro](./java/exception-handling-logging/)
+- [Licenciamiento y configuración](./java/licensing-configuration/)
+- [Extracción y procesamiento de texto](./java/text-extraction-processing/)
+
+---
+
+**Última actualización:** 2025-12-16
+**Autor:** GroupDocs
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+---
+date: 2025-12-16
+description: Aprende cómo crear un índice de búsqueda e implementar rango de fechas,
+ búsqueda facetada y filtrado de documentos con los tutoriales de GroupDocs.Search
+ para Java.
+title: 'Crear índice de búsqueda - tutoriales de Java de GroupDocs.Search'
+type: docs
+url: /es/java/advanced-features/
+weight: 8
+---
+
+# Crear índice de búsqueda: Tutoriales de GroupDocs.Search Java
+
+Bienvenido al centro para **crear un índice de búsqueda** y desbloquear capacidades avanzadas de búsqueda con GroupDocs.Search para Java. Ya sea que estés buscando **implementar rangos de fechas** en consultas, aplicar **filtrado de extensiones de archivo Java**, o crear soluciones de **búsqueda compleja Java**, estos tutoriales te ofrecen guía paso a paso, ejemplos del mundo real y código listo para ejecutar. Al final de esta guía comprenderás cómo diseñar experiencias de búsqueda potentes que escalen con grandes colecciones de documentos.
+
+## ¿Cómo crear un índice de búsqueda con GroupDocs.Search Java?
+
+* Configura un índice y agrega documentos de manera eficiente.
+* Utiliza metadatos y atributos para enriquecer los resultados de búsqueda.
+* Aplica filtros como **document filtering java** y **file extension filtering java** para reducir los resultados.
+* Ejecuta consultas de **complex search java** que combinan múltiples criterios, incluyendo restricciones de **implement date range**.
+
+## Tutoriales disponibles
+
+### [Búsqueda de documentos basada en fragmentos en Java: Guía completa usando GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Aprende a implementar búsquedas eficientes de documentos basadas en fragmentos con GroupDocs.Search para Java. Mejora la productividad y gestiona grandes conjuntos de datos sin problemas.
+
+### [Búsquedas facetadas y complejas en Java: Domina GroupDocs.Search para funciones avanzadas](./faceted-complex-search-groupdocs-java/)
+Aprende a implementar búsquedas facetadas y complejas en aplicaciones Java usando GroupDocs.Search, mejorando la funcionalidad de búsqueda y la experiencia del usuario.
+
+### [Implementar GroupDocs.Search Java: Guía completa de indexación e informes](./groupdocs-search-java-index-report-guide/)
+Domina GroupDocs.Search en Java para una indexación y generación de informes de documentos eficiente. Aprende a crear índices, agregar documentos y generar informes con esta guía detallada.
+
+### [Dominar búsquedas por rango de fechas en Java con GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Un tutorial de código para GroupDocs.Search Java
+
+### [Dominar GroupDocs.Search Java: Funciones avanzadas de búsqueda para una recuperación de datos eficiente](./groupdocs-search-java-advanced-search-features/)
+Aprende a dominar funciones avanzadas de búsqueda en GroupDocs.Search para Java, incluyendo manejo de errores, varios tipos de consultas y optimización del rendimiento.
+
+### [Dominar el filtrado de archivos Java usando GroupDocs.Search: Guía paso a paso](./master-java-file-filtering-groupdocs-search/)
+Aprende a gestionar y filtrar archivos de manera eficiente en Java usando GroupDocs.Search, incluyendo extensiones de archivo, operadores lógicos y más.
+
+### [Dominar GroupDocs.Search para Java: Tu guía completa de indexación y búsqueda de documentos](./groupdocs-search-java-implementation-guide/)
+Aprende a implementar GroupDocs.Search en Java con esta guía completa. Descubre extracción de texto robusta, serialización, indexación y funciones de búsqueda.
+
+## Recursos adicionales
+
+- [Documentación de GroupDocs.Search para Java](https://docs.groupdocs.com/search/java/)
+- [Referencia de API de GroupDocs.Search para Java](https://reference.groupdocs.com/search/java/)
+- [Descargar GroupDocs.Search para Java](https://releases.groupdocs.com/search/java/)
+- [Foro de GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [Soporte gratuito](https://forum.groupdocs.com/)
+- [Licencia temporal](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Last Updated:** 2025-12-16
+**Author:** GroupDocs
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+---
+date: '2025-12-16'
+description: Aprende a crear índices de búsqueda en Java e implementar búsquedas facetadas
+ y complejas con GroupDocs.Search, mejorando el rendimiento de la búsqueda y la experiencia
+ del usuario.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Crear índice de búsqueda Java – Búsquedas facetadas y complejas
+type: docs
+url: /es/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Crear índice de búsqueda Java – Búsquedas facetadas y complejas
+
+Implementar una experiencia de **búsqueda** potente en Java puede resultar abrumador, especialmente cuando necesitas **crear índices de búsqueda Java** para proyectos que manejan grandes colecciones de documentos. Afortunadamente, **GroupDocs.Search for Java** ofrece una API completa que te permite construir consultas facetadas y complejas con solo unas pocas líneas de código. En este tutorial descubrirás cómo configurar la biblioteca, **crear un índice de búsqueda Java**, agregar documentos y ejecutar tanto búsquedas facetadas simples como consultas sofisticadas de múltiples criterios.
+
+## Respuestas rápidas
+- **¿Qué es una búsqueda facetada?** Una forma de filtrar resultados por categorías predefinidas (p. ej., tipo de archivo, fecha).
+- **¿Cómo creo un índice de búsqueda Java?** Inicializa un objeto `Index` que apunte a una carpeta y agrega documentos.
+- **¿Puedo combinar múltiples criterios?** Sí—utiliza consultas basadas en objetos o operadores Booleanos en una consulta de texto.
+- **¿Necesito una licencia?** Una prueba gratuita funciona para desarrollo; una licencia comercial elimina los límites.
+- **¿Qué IDE funciona mejor?** Cualquier IDE de Java (IntelliJ IDEA, Eclipse, NetBeans) funciona bien.
+
+## Qué es “create search index java”?
+Crear un índice de búsqueda en Java significa construir una estructura de datos buscable que almacena metadatos y contenido de los documentos, permitiendo una recuperación rápida basada en las consultas de los usuarios. Con GroupDocs.Search, el índice reside en disco, puede actualizarse de forma incremental y admite funciones avanzadas como facetas y lógica Boolean compleja.
+
+## Por qué usar GroupDocs.Search para consultas facetadas y complejas?
+- **Facetas listas para usar** – filtra por campos como nombre de archivo, tamaño o metadatos personalizados.
+- **Lenguaje de consultas rico** – combina consultas de texto, frase y campo usando operadores AND/OR/NOT.
+- **Rendimiento escalable** – indexa millones de documentos manteniendo baja latencia de búsqueda.
+- **Puro Java** – sin dependencias nativas, funciona en cualquier plataforma que ejecute JDK 8+.
+
+## Requisitos previos
+
+Antes de comenzar, asegúrate de contar con lo siguiente:
+
+- **JDK 8 o superior** instalado y configurado en tu IDE.
+- **Maven** (o Gradle) para la gestión de dependencias.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Familiaridad básica con conceptos OOP de Java y la estructura de proyectos Maven.
+
+## Configuración de GroupDocs.Search para Java
+
+### Configuración de Maven
+Agrega el repositorio y la dependencia a tu archivo `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Descarga directa
+Alternativamente, descarga el JAR más reciente desde la página oficial de lanzamientos:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Obtención de licencia
+Para desbloquear la funcionalidad completa:
+
+1. **Prueba gratuita** – perfecta para desarrollo y pruebas.
+2. **Licencia de evaluación temporal** – amplía los límites de la prueba.
+3. **Licencia comercial** – elimina todas las restricciones para uso en producción.
+
+### Inicialización y configuración básica
+El siguiente fragmento muestra cómo **crear un índice de búsqueda Java** instanciando la clase `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Con el índice listo, podemos pasar a consultas facetadas y complejas del mundo real.
+
+## Cómo crear un índice de búsqueda Java – Búsqueda facetada simple
+
+La búsqueda facetada permite a los usuarios finales reducir los resultados seleccionando valores de categorías predefinidas (facetas). A continuación, una guía paso a paso.
+
+### Paso 1: Crear un índice
+Primero, apunta el `Index` a una carpeta donde se almacenarán los archivos del índice.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Paso 2: Agregar documentos al índice
+Indica a GroupDocs.Search dónde se encuentran tus documentos fuente. Todos los tipos de archivo compatibles (PDF, DOCX, TXT, etc.) se indexarán automáticamente.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Paso 3: Realizar una búsqueda en el campo Content con una consulta de texto
+Una consulta de texto rápida filtra por el campo `content`. La sintaxis `content: Pellentesque` limita los resultados a documentos que contengan la palabra *Pellentesque* en su texto principal.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Paso 4: Realizar una búsqueda usando una consulta de objeto
+Las consultas basadas en objetos te dan un control granular. Aquí construimos una consulta de palabra, la envolvemos en una consulta de campo y la ejecutamos.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Cómo crear un índice de búsqueda Java – Búsqueda con consultas complejas
+
+Las consultas complejas combinan varios campos, operadores Booleanos y búsquedas de frases. Esto es ideal para escenarios como filtros de comercio electrónico o investigación de documentos legales.
+
+### Paso 1: Crear un índice para consultas complejas
+Reutiliza la misma estructura de carpetas; puedes compartir el índice entre escenarios simples y complejos.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Paso 2: Realizar una búsqueda con una consulta de texto
+La siguiente consulta busca archivos nombrados *lorem* **and** *ipsum* **or** contenido que contenga cualquiera de dos frases exactas.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Paso 3: Realizar una búsqueda con una consulta de objeto
+La construcción basada en objetos refleja la consulta textual pero ofrece seguridad de tipos y asistencia del IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Aplicaciones prácticas de búsquedas facetadas y complejas
+
+| Escenario | Cómo ayuda la faceta | Consulta de ejemplo |
+|----------|----------------------|---------------------|
+| **Catálogo de e‑commerce** | Filtrar por categoría, precio, marca | `category: Electronics AND price:[100 TO 500]` |
+| **Repositorio de documentos legales** | Restringir por número de caso, jurisdicción | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Archivos de investigación** | Combinar autor, año de publicación, palabras clave | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Intranet empresarial** | Buscar por tipo de archivo y departamento | `filetype: pdf AND department: HR` |
+
+Estos ejemplos ilustran por qué dominar las técnicas de **crear índice de búsqueda Java** es un factor decisivo para cualquier aplicación intensiva en datos.
+
+## Problemas comunes y solución de errores
+
+- **Resultados vacíos** – Verifica que los documentos se hayan agregado correctamente (`index.getDocumentCount()` puede ayudar).
+- **Índice obsoleto** – Después de agregar o eliminar archivos, llama a `index.update()` para mantener el índice sincronizado.
+- **Nombres de campo incorrectos** – Usa las constantes `CommonFieldNames` (`Content`, `FileName`, etc.) para evitar errores tipográficos.
+- **Cuellos de botella de rendimiento** – Para colecciones muy grandes, considera habilitar `index.setCacheSize()` o usar un SSD dedicado para la carpeta del índice.
+
+## Preguntas frecuentes
+
+**Q: ¿Puedo usar GroupDocs.Search con Spring Boot?**
+A: Absolutamente. Solo agrega la dependencia Maven, configura el índice como un bean de Spring y lo inyectas donde sea necesario.
+
+**Q: ¿La biblioteca admite campos de metadatos personalizados?**
+A: Sí – puedes agregar campos definidos por el usuario durante la indexación y luego facetar sobre ellos.
+
+**Q: ¿Qué tan grande puede crecer el índice?**
+A: El índice está basado en disco y puede manejar millones de documentos; solo asegúrate de contar con suficiente espacio de almacenamiento y monitorea la configuración de caché.
+
+**Q: ¿Existe una forma de ordenar los resultados por relevancia?**
+A: GroupDocs.Search puntúa automáticamente las coincidencias; puedes obtener la puntuación mediante `SearchResult.getDocument(i).getScore()`.
+
+**Q: ¿Qué ocurre si indexo PDFs encriptados?**
+A: Proporciona la contraseña al agregar el documento: `index.add(filePath, password)`.
+
+## Conclusión
+
+Ahora deberías sentirte cómodo **creando un índice de búsqueda Java** con GroupDocs.Search, agregando documentos y diseñando tanto consultas facetadas simples como búsquedas Booleanas sofisticadas. Estas capacidades te permiten ofrecer experiencias de búsqueda rápidas, precisas y amigables en una amplia gama de aplicaciones, desde plataformas de comercio electrónico hasta bases de conocimiento empresariales.
+
+¿Listo para el siguiente paso? Explora las funciones avanzadas de **GroupDocs.Search** como **resaltado**, **sugerencias** y **indexación en tiempo real** para potenciar aún más la capacidad de búsqueda de tu aplicación.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 for Java
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/spanish/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/spanish/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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+---
+date: '2025-12-16'
+description: Aprende a realizar búsquedas por rango de fechas y otras funciones avanzadas
+ de búsqueda, como la búsqueda facetada en Java, utilizando GroupDocs.Search para
+ Java, incluyendo el manejo de errores y la optimización del rendimiento.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Búsqueda por rango de fechas y funciones avanzadas'
+type: docs
+url: /es/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Dominar GroupDocs.Search Java: Búsqueda por Rango de Fechas y Funciones Avanzadas
+
+En las aplicaciones impulsadas por datos de hoy, **date range search** es una capacidad central que le permite filtrar documentos por períodos de tiempo, mejorando drásticamente la relevancia y la velocidad. Ya sea que esté construyendo un portal de cumplimiento, un catálogo de comercio electrónico o un sistema de gestión de contenido, dominar **date range search** junto con otros tipos de consultas potentes hará que su solución sea flexible y robusta. Esta guía le muestra el manejo de errores, una suite completa de tipos de consultas y consejos de rendimiento, todo con código Java real que puede copiar y pegar.
+
+## Respuestas rápidas
+- **What is date range search?** Filtrado de documentos que contienen fechas dentro de un intervalo especificado de inicio a fin.
+- **Which library provides it?** GroupDocs.Search for Java.
+- **Do I need a license?** Una prueba gratuita funciona para desarrollo; se requiere una licencia de producción para uso comercial.
+- **Can I combine it with other queries?** Sí—combine rangos de fechas con consultas booleanas, facetadas o regex.
+- **Is it fast for large datasets?** Cuando está indexado correctamente, las búsquedas se ejecutan en menos de un segundo incluso con millones de registros.
+
+## Qué es date range search?
+Date range search le permite localizar documentos que incluyen fechas que caen entre dos límites, como “2023‑01‑01 ~~ 2023‑12‑31”. Es esencial para informes, registros de auditoría y cualquier escenario donde el filtrado basado en tiempo sea importante.
+
+## ¿Por qué usar GroupDocs.Search para Java?
+GroupDocs.Search ofrece una API unificada para muchos tipos de consultas—simple, wildcard, faceted, numeric, date range, regex, boolean y phrase—para que pueda crear experiencias de búsqueda sofisticadas sin manejar múltiples bibliotecas. Su manejo de errores basado en eventos también mantiene su canal de indexación resiliente.
+
+## Requisitos previos
+- **GroupDocs.Search Java library** (v25.4 o más reciente).
+- **Java Development Kit (JDK)** compatible con su proyecto.
+- Maven para la gestión de dependencias (o descarga manual).
+
+### Bibliotecas requeridas y configuración del entorno
+Add the GroupDocs repository and dependency to your `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Configuración alternativa
+Para descargas directas, visite [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Licenciamiento y configuración inicial
+Start with a free trial or a temporary license:
+
+- Visite [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) para obtener más información.
+
+Ahora vamos a crear la carpeta de índice que contendrá sus datos buscables.
+
+## Configuración de GroupDocs.Search para Java
+
+### Inicialización básica
+First, instantiate an `Index` object that points to a folder on disk:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Ahora tiene una puerta de enlace a todas las operaciones de búsqueda.
+
+## Implementation Guide
+
+### Función 1: Manejo de errores en la indexación
+#### How to capture indexing errors (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Por qué es importante*: Al escuchar `ErrorOccurred`, puede registrar problemas, reintentar archivos fallidos o alertar a los usuarios sin que se bloquee todo el proceso.
+
+### Función 2: Consulta de búsqueda simple
+#### What is a simple search?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Devuelve cada documento que contiene el término **volutpat**.
+
+### Función 3: Consulta de búsqueda con comodín
+#### How does wildcard search work?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Coincide tanto con **affect** como con **effect**, mostrando el poder del marcador `?`.
+
+### Función 4: Consulta de búsqueda facetada
+#### How to perform faceted search Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Limita la búsqueda al campo **Content**, ideal para filtrar por metadatos como categoría o autor.
+
+### Función 5: Consulta de rango numérico
+#### How to search numeric ranges
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Recupera documentos donde los valores numéricos están entre 2000 y 3000.
+
+### Función 6: Consulta de rango de fechas
+#### How to execute date range search
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Explicación*: Al personalizar `SearchOptions`, indica al motor que reconozca fechas en formato **MM/DD/YYYY**, y luego recupera todos los registros entre el 1 de enero de 2000 y el 15 de junio de 2001.
+
+### Función 7: Consulta de expresión regular
+#### How to run regex search Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Encuentra secuencias de tres o más caracteres idénticos (p. ej., “aaa”, “111”).
+
+### Función 8: Consulta booleana
+#### How to combine conditions with boolean search Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Devuelve documentos que contienen **justo** pero excluye los que también contienen **3456**.
+
+### Función 9: Consulta booleana compleja
+#### How to craft advanced boolean queries
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Busca nombres de archivo similares a “English” (permitiendo variaciones de 1‑3 caracteres) **o** contenido que contiene tanto **3456** como **consequat**.
+
+### Función 10: Consulta de frase
+#### How to search exact phrases
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Resultado*: Recupera solo los documentos que contienen la frase exacta **ipsum dolor sit amet**.
+
+## Aplicaciones prácticas
+1. **Plataformas de comercio electrónico** – Utilice faceted search Java para filtrar productos por tamaño, color y marca.
+2. **Sistemas de gestión de contenido** – Combine boolean search Java con phrase search para impulsar herramientas editoriales sofisticadas.
+3. **Herramientas de análisis de datos** – Aproveche date range search para generar informes y paneles basados en tiempo.
+
+## Problemas comunes y soluciones
+- **No results for date range search** – Verifique que el formato de fecha en sus documentos coincida con el `DateFormat` personalizado que agregó.
+- **Regex queries return too many hits** – Refine el patrón o limite el alcance de la búsqueda con calificadores de campo adicionales.
+- **Indexing errors not captured** – Asegúrese de que el controlador de eventos esté adjunto **antes** de llamar a `index.add(...)`.
+
+## Preguntas frecuentes
+
+**Q: ¿Puedo mezclar date range search con otros tipos de consultas?**
+A: Por supuesto. Puede combinar una cláusula de rango de fechas con operadores booleanos, filtros facetados o patrones regex en una sola cadena de consulta.
+
+**Q: ¿Necesito reconstruir el índice después de cambiar los formatos de fecha?**
+A: Sí. El índice almacena términos tokenizados; actualizar solo `SearchOptions` no volverá a tokenizar los datos existentes. Re‑indexe los documentos después de cambiar los formatos.
+
+**Q: ¿Cómo maneja GroupDocs.Search índices grandes?**
+A: Utiliza indexación incremental y almacenamiento en disco, lo que le permite escalar a millones de documentos mientras mantiene bajo el uso de memoria.
+
+**Q: ¿Existe un límite para la cantidad de caracteres comodín?**
+A: Los comodines se procesan de manera eficiente, pero usar muchos comodines al inicio (p. ej., `*term`) puede degradar el rendimiento. Prefiera comodines de prefijo o sufijo.
+
+**Q: ¿Qué modelo de licenciamiento se recomienda para producción?**
+A: Una licencia perpetua o de suscripción de GroupDocs garantiza que reciba actualizaciones, soporte y la capacidad de desplegar sin limitaciones de prueba.
+
+## Conclusión
+Al dominar **date range search** y la suite completa de tipos de consultas avanzadas que ofrece GroupDocs.Search para Java, puede crear experiencias de búsqueda altamente receptivas y con muchas funciones. Implemente un manejo de errores robusto, ajuste finamente su índice y combine consultas para cubrir prácticamente cualquier escenario de recuperación. Comience a experimentar hoy y eleve las capacidades de acceso a datos de su aplicación.
+
+**Última actualización:** 2025-12-16
+**Probado con:** GroupDocs.Search 25.4 (Java)
+**Autor:** GroupDocs
\ No newline at end of file
diff --git a/content/swedish/_index.md b/content/swedish/_index.md
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Utforska GroupDocs.Search handledlingssamling för .NET‑ och Java‑utvecklare.
+ Bemästra dokumentindexering, sökfunktioner och avancerade funktioner utan ansträngning.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: GroupDocs.Search-handledning – Lås upp dokumentssökningens kraft
+type: docs
+url: /sv/
+weight: 11
+---
+
+# GroupDocs.Search‑handledning – Lås upp dokumentsökningens kraft
+
+Välkommen till **GroupDocs.Search tutorial**‑hubben, din allt‑i‑ett‑destination för att bemästra dokumentsökning och indexering på .NET‑ och Java‑plattformar. Oavsett om du bygger ett litet internt verktyg eller en storskalig företagslösning, kommer dessa steg‑för‑steg‑guider hjälpa dig att implementera snabb, exakt och skalbar sökfunktionalitet. Du kommer att lära dig allt från grundläggande indexering till avancerad fråge‑byggnad, samtidigt som du utnyttjar hela kraften i GroupDocs.Search.
+
+## Varför använda GroupDocs.Search‑handledningen?
+
+Handledningsserien är utformad med verkliga scenarier i åtanke, så att du snabbt kan tillämpa det du lär dig i dina projekt.
+Genom att följa dessa guider kommer du att:
+
+- Få en gedigen förståelse för **document indexing**‑tekniker.
+- Lär dig hur du skapar effektiva **search capabilities** som hanterar stora dokumentkollektioner.
+- Utforska avancerade funktioner som fuzzy search, highlighting och distribuerade söknätverk.
+- Minska utvecklingstiden med tydliga, exempel‑drivna instruktioner för både .NET‑ och Java‑miljöer.
+
+{{% alert color="primary" %}}
+Utforska kraftfulla dokumentsökfunktioner i .NET med GroupDocs.Search‑handledningar. Från grundläggande indexering till avancerade söktekniker erbjuder våra handledningar omfattande vägledning för utvecklare på alla kunskapsnivåer. Fördjupa dig i olika ämnen såsom boolean search, fuzzy search, highlighting, dictionary management och distribuerade söklösningar, och lås upp hela potentialen i GroupDocs.Search för .NET. Höj din applikations sökfunktionalitet och effektivisera dokumentupptäckt med våra lätt‑följda handledningar.
+{{% /alert %}}
+
+## GroupDocs.Search för .NET‑handledningar
+
+### Väsentliga .NET‑sökhandledningar
+
+- [Indexering](./net/indexing/)
+- [Sökning](./net/searching/)
+- [Markering](./net/highlighting/)
+- [Ordböcker & språkbehandling](./net/dictionaries-language-processing/)
+- [Dokumenthantering](./net/document-management/)
+- [OCR & bildsökning](./net/ocr-image-search/)
+- [Avancerade funktioner](./net/advanced-features/)
+- [Söknätverk](./net/search-network/)
+- [Prestandaoptimering](./net/performance-optimization/)
+- [Undantagshantering & loggning](./net/exception-handling-logging/)
+- [Integration & interoperabilitet](./net/integration-interoperability/)
+- [Licensiering & konfiguration](./net/licensing-configuration/)
+- [Textutdrag & bearbetning](./net/text-extraction-processing/)
+- [Frågor & frågebyggnad](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Upptäck omfattande handledningar för GroupDocs.Search i Java. Från grundläggande indexeringstekniker till avancerad sökfunktionalitet erbjuder våra steg‑för‑steg‑guider Java‑utvecklare kunskapen att implementera kraftfulla dokumentsökningslösningar. Lär dig att arbeta med olika dokumentformat inklusive PDF, Word, Excel, presentationer och mer. Bemästra tekniker för att skapa index, utföra olika söktyper, markera resultat och optimera prestanda för att förbättra dina Java‑applikationer med robusta sökmöjligheter.
+{{% /alert %}}
+
+## GroupDocs.Search för Java‑handledningar
+
+### Väsentliga Java‑sökhandledningar
+
+- [Komma igång](./java/getting-started/)
+- [Indexering](./java/indexing/)
+- [Sökning](./java/searching/)
+- [Markering](./java/highlighting/)
+- [Ordböcker & språkbehandling](./java/dictionaries-language-processing/)
+- [Dokumenthantering](./java/document-management/)
+- [OCR & bildsökning](./java/ocr-image-search/)
+- [Avancerade funktioner](./java/advanced-features/)
+- [Söknätverk](./java/search-network/)
+- [Prestandaoptimering](./java/performance-optimization/)
+- [Undantagshantering & loggning](./java/exception-handling-logging/)
+- [Licensiering & konfiguration](./java/licensing-configuration/)
+- [Textutdrag & bearbetning](./java/text-extraction-processing/)
+
+---
+
+**Senast uppdaterad:** 2025-12-16
+**Författare:** GroupDocs
\ No newline at end of file
diff --git a/content/swedish/java/advanced-features/_index.md b/content/swedish/java/advanced-features/_index.md
new file mode 100644
index 00000000..54a57f15
--- /dev/null
+++ b/content/swedish/java/advanced-features/_index.md
@@ -0,0 +1,57 @@
+---
+date: 2025-12-16
+description: Lär dig hur du skapar ett sökindex och implementerar datumintervall,
+ facetterad sökning och dokumentfiltrering med GroupDocs.Search Java‑handledning.
+title: 'Skapa sökindex - GroupDocs.Search Java-handledningar'
+type: docs
+url: /sv/java/advanced-features/
+weight: 8
+---
+
+# Skapa sökindex: GroupDocs.Search Java-handledning
+
+Välkommen till navet för **creating a search index** och att låsa upp avancerade sökfunktioner med GroupDocs.Search för Java. Oavsett om du vill **implement date range** frågor, tillämpa **file extension filtering Java**, eller bygga **complex search Java** lösningar, ger dessa handledningar dig steg‑för‑steg‑vägledning, verkliga exempel och färdig‑körbar kod. I slutet av den här guiden kommer du att förstå hur du designar kraftfulla sökupplevelser som skalas med stora dokumentsamlingar.
+
+## Hur skapar du ett sökindex med GroupDocs.Search Java?
+
+* Ställ in ett index och lägg till dokument effektivt.
+* Använd metadata och attribut för att berika sökresultaten.
+* Tillämpa filter såsom **document filtering java** och **file extension filtering java** för att begränsa resultaten.
+* Utför **complex search java**‑frågor som kombinerar flera kriterier, inklusive **implement date range**‑begränsningar.
+
+## Tillgängliga handledningar
+
+### [Chunk-baserad dokumentsökning i Java: En omfattande guide med GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Lär dig hur du implementerar effektiva chunk-baserade dokumentsökningar med GroupDocs.Search för Java. Förbättra produktiviteten och hantera stora datamängder sömlöst.
+
+### [Facetterade och komplexa sökningar i Java: Bemästra GroupDocs.Search för avancerade funktioner](./faceted-complex-search-groupdocs-java/)
+Lär dig hur du implementerar facetterade och komplexa sökningar i Java‑applikationer med GroupDocs.Search, vilket förbättrar sökfunktionaliteten och användarupplevelsen.
+
+### [Implementera GroupDocs.Search Java: Omfattande guide för indexering och rapportering](./groupdocs-search-java-index-report-guide/)
+Bemästra GroupDocs.Search i Java för effektiv dokumentindexering och rapportering. Lär dig skapa index, lägga till dokument och generera rapporter med den här detaljerade guiden.
+
+### [Behärska datumintervallssökningar i Java med GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+En kodhandledning för GroupDocs.Search Java
+
+### [Behärska GroupDocs.Search Java: Avancerade sökfunktioner för effektiv dataåtervinning](./groupdocs-search-java-advanced-search-features/)
+Lär dig bemästra avancerade sökfunktioner i GroupDocs.Search för Java, inklusive felhantering, olika frågetyper och prestandaoptimering.
+
+### [Behärska Java-filfiltrering med GroupDocs.Search: En steg‑för‑steg‑guide](./master-java-file-filtering-groupdocs-search/)
+Lär dig hur du effektivt hanterar och filtrerar filer i Java med GroupDocs.Search, inklusive filändelse, logiska operatorer och mer.
+
+### [Behärska GroupDocs.Search för Java: Din kompletta guide till dokumentindexering och sökning](./groupdocs-search-java-implementation-guide/)
+Lär dig hur du implementerar GroupDocs.Search i Java med den här omfattande guiden. Upptäck robust textutvinning, serialisering, indexering och sökfunktioner.
+
+## Ytterligare resurser
+
+- [GroupDocs.Search för Java-dokumentation](https://docs.groupdocs.com/search/java/)
+- [GroupDocs.Search för Java API-referens](https://reference.groupdocs.com/search/java/)
+- [Ladda ner GroupDocs.Search för Java](https://releases.groupdocs.com/search/java/)
+- [GroupDocs.Search-forum](https://forum.groupdocs.com/c/search)
+- [Gratis support](https://forum.groupdocs.com/)
+- [Tillfällig licens](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Senast uppdaterad:** 2025-12-16
+**Författare:** GroupDocs
\ No newline at end of file
diff --git a/content/swedish/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/swedish/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
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--- /dev/null
+++ b/content/swedish/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -0,0 +1,257 @@
+---
+date: '2025-12-16'
+description: Lär dig hur du skapar sökindex i Java och implementerar facetterade och
+ komplexa sökningar med GroupDocs.Search, vilket förbättrar sökprestanda och användarupplevelsen.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Skapa sökindex i Java – Facetterade och komplexa sökningar
+type: docs
+url: /sv/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Skapa sökindex Java – Facetterade & komplexa sökningar
+
+Att implementera en kraftfull **sökupplevelse** i Java kan kännas överväldigande, särskilt när du behöver **skapa sökindex Java**‑projekt som hanterar stora dokumentsamlingar. Lyckligtvis erbjuder **GroupDocs.Search for Java** ett rikt API som låter dig bygga facetterade och komplexa frågor med några rader kod. I den här handledningen får du lära dig hur du installerar biblioteket, **skapar ett sökindex Java**, lägger till dokument och kör både enkla facetterade sökningar och sofistikerade flerkriterie‑frågor.
+
+## Snabba svar
+- **Vad är en facetterad sökning?** Ett sätt att filtrera resultat efter fördefinierade kategorier (t.ex. filtyp, datum).
+- **Hur skapar jag ett sökindex Java?** Initiera ett `Index`‑objekt som pekar på en mapp och lägg till dokument.
+- **Kan jag kombinera flera kriterier?** Ja – använd objekt‑baserade frågor eller Boolean‑operatorer i en textfråga.
+- **Behöver jag en licens?** En gratis provversion fungerar för utveckling; en kommersiell licens tar bort begränsningarna.
+- **Vilken IDE fungerar bäst?** Alla Java‑IDE:er (IntelliJ IDEA, Eclipse, NetBeans) fungerar bra.
+
+## Vad betyder “create search index java”?
+Att skapa ett sökindex i Java innebär att bygga en sökbar datastruktur som lagrar dokumentmetadata och innehåll, vilket möjliggör snabb återvinning baserat på användarens frågor. Med GroupDocs.Search lagras indexet på disk, kan uppdateras inkrementellt och stödjer avancerade funktioner som facettering och komplex Boolean‑logik.
+
+## Varför använda GroupDocs.Search för facetterade och komplexa frågor?
+- **Färdig facettering** – filtrera efter fält som filnamn, storlek eller anpassad metadata.
+- **Rikt frågespråk** – blanda text-, fras- och fältfrågor med AND/OR/NOT‑operatorer.
+- **Skalbar prestanda** – indexerar miljontals dokument samtidigt som söklatensen hålls låg.
+- **Ren Java** – inga inhemska beroenden, fungerar på alla plattformar som kör JDK 8+.
+
+## Förutsättningar
+
+Innan vi dyker ner, se till att du har följande:
+
+- **JDK 8 eller nyare** installerad och konfigurerad i din IDE.
+- **Maven** (eller Gradle) för beroendehantering.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Grundläggande kunskap om Java‑OOP‑koncept och Maven‑projektstruktur.
+
+## Installera GroupDocs.Search för Java
+
+### Maven‑inställning
+Lägg till repository och beroende i din `pom.xml`‑fil:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Direkt nedladdning
+Alternativt kan du ladda ner den senaste JAR‑filen från den officiella releasesidan:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Licensanskaffning
+För att låsa upp full funktionalitet:
+
+1. **Gratis prov** – perfekt för utveckling och testning.
+2. **Tillfällig utvärderingslicens** – utökar provgränserna.
+3. **Kommersiell licens** – tar bort alla restriktioner för produktionsanvändning.
+
+### Grundläggande initiering och konfiguration
+Följande kodsnutt visar hur du **skapar ett sökindex Java** genom att instansiera `Index`‑klassen:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+När indexet är klart kan vi gå vidare till facetterade och komplexa frågor i verkliga scenarier.
+
+## Hur man skapar sökindex java – Enkelt facetterat sök
+
+Facetterad sökning låter slutanvändare begränsa resultat genom att välja värden från fördefinierade kategorier (facetter). Nedan följer en steg‑för‑steg‑genomgång.
+
+### Steg 1: Skapa ett index
+Peka först `Index` på en mapp där indexfilerna ska lagras.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Steg 2: Lägg till dokument i indexet
+Berätta för GroupDocs.Search var dina källdokument finns. Alla stödda filtyper (PDF, DOCX, TXT osv.) indexeras automatiskt.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Steg 3: Utför en sökning i innehållsfältet med en textfråga
+En snabb textfråga filtrerar på `content`‑fältet. Syntaxen `content: Pellentesque` begränsar resultaten till dokument som innehåller ordet *Pellentesque* i brödtexten.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Steg 4: Utför en sökning med en objektfråga
+Objekt‑baserade frågor ger dig fin‑granulerad kontroll. Här bygger vi en ordfråga, omsluter den i en fältfråga och kör den.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Hur man skapar sökindex java – Komplex frågesökning
+
+Komplexa frågor kombinerar flera fält, Boolean‑operatorer och fras‑sökningar. Detta är idealiskt för scenarier som e‑handelsfilter eller juridisk dokumentforskning.
+
+### Steg 1: Skapa ett index för komplexa frågor
+Återanvänd samma mappstruktur; du kan dela indexet mellan både enkla och komplexa scenarier.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Steg 2: Utför en sökning med en textfråga
+Följande fråga letar efter filer med namn *lorem* **och** *ipsum* **eller** innehåll som innehåller någon av två exakta fraser.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Steg 3: Utför en sökning med en objektfråga
+Objekt‑baserad konstruktion speglar den textuella frågan men erbjuder typ‑säkerhet och IDE‑stöd.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Praktiska tillämpningar av facetterade & komplexa sökningar
+
+| Scenario | Hur facettering hjälper | Exempel på fråga |
+|----------|--------------------------|------------------|
+| **E‑handelskatalog** | Filtrera efter kategori, pris, varumärke | `category: Electronics AND price:[100 TO 500]` |
+| **Juridiskt dokumentarkiv** | Begränsa efter ärendenummer, jurisdiktion | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Forskningsarkiv** | Kombinera författare, publiceringsår, nyckelord | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Företagsintranät** | Sök efter filtyp och avdelning | `filetype: pdf AND department: HR` |
+
+Dessa exempel visar varför behärskning av **create search index java**‑tekniker är en spelväxlare för alla datatunga applikationer.
+
+## Vanliga fallgropar & felsökning
+
+- **Tomma resultat** – Verifiera att dokumenten faktiskt lagts till (`index.getDocumentCount()` kan hjälpa).
+- **Föråldrat index** – Efter att ha lagt till eller tagit bort filer, anropa `index.update()` för att hålla indexet synkroniserat.
+- **Felaktiga fältnamn** – Använd `CommonFieldNames`‑konstanter (`Content`, `FileName` osv.) för att undvika stavfel.
+- **Prestandaflaskhalsar** – För enorma samlingar, överväg att aktivera `index.setCacheSize()` eller använd en dedikerad SSD för indexmappen.
+
+## Vanliga frågor
+
+**Q: Kan jag använda GroupDocs.Search med Spring Boot?**
+A: Absolut. Lägg bara till Maven‑beroendet, konfigurera indexet som en Spring‑bean och injicera det där det behövs.
+
+**Q: Stöder biblioteket anpassade metadatafält?**
+A: Ja – du kan lägga till användardefinierade fält under indexering och sedan facettera på dem.
+
+**Q: Hur stor kan indexet bli?**
+A: Indexet är disk‑baserat och kan hantera miljontals dokument; se bara till att ha tillräckligt med lagringsutrymme och övervaka cache‑inställningarna.
+
+**Q: Finns det ett sätt att rangordna resultat efter relevans?**
+A: GroupDocs.Searchätter automatiskt träffar; du kan hämta poängen via `SearchResult.getDocument(i).getScore()`.
+
+**Q: Vad händer om jag indexerar krypterade PDF‑filer?**
+A: Ange lösenordet när du lägger till dokumentet: `index.add(filePath, password)`.
+
+## Slutsats
+
+Nu bör du känna dig bekväm med att **skapa ett sökindex Java** med GroupDocs.Search, lägga till dokument och konstruera både enkla facetterade frågor och sofistikerade Boolean‑sökningar. Dessa möjligheter ger dig kraft att leverera snabba, exakta och användarvänliga sökupplevelser i en rad olika applikationer – från e‑handelsplattformar till företagskunskapsbaser.
+
+Redo för nästa steg? Utforska **GroupDocs.Search**‑s avancerade funktioner som **highlighting**, **suggestions** och **real‑time indexing** för att ytterligare stärka din applikations sökkraft.
+
+---
+
+**Senast uppdaterad:** 2025-12-16
+**Testat med:** GroupDocs.Search 25.4 for Java
+**Författare:** GroupDocs
\ No newline at end of file
diff --git a/content/swedish/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/swedish/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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+---
+date: '2025-12-16'
+description: Lär dig hur du utför datumintervallssökning och andra avancerade sökfunktioner
+ som facetterad sökning i Java med GroupDocs.Search för Java, inklusive felhantering
+ och prestandaoptimering.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Datumintervallssökning & avancerade funktioner'
+type: docs
+url: /sv/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Bemästra GroupDocs.Search Java: Dataintervallssökning & Avancerade funktioner
+
+I dagens datadrivna applikationer är **date range search** en grundläggande funktion som låter dig filtrera dokument efter tidsperioder, vilket dramatiskt förbättrar relevans och hastighet. Oavsett om du bygger en efterlevnadsportal, ett e‑handelskatalog eller ett innehållshanteringssystem, så gör det att bemästra date range search tillsammans med andra kraftfulla frågetyper din lösning både flexibel och robust. Den här guiden går igenom felhantering, en komplett uppsättning frågetyper och prestandatips, allt med riktig Java‑kod som du kan kopiera och klistra in.
+
+## Snabba svar
+- **Vad är date range search?** Filtrering av dokument som innehåller datum inom ett specificerat start‑till‑slut‑intervall.
+- **Vilket bibliotek tillhandahåller det?** GroupDocs.Search för Java.
+- **Behöver jag en licens?** En gratis provperiod fungerar för utveckling; en produktionslicens krävs för kommersiell användning.
+- **Kan jag kombinera den med andra frågor?** Ja — blanda datumintervall med boolean, faceted eller regex‑frågor.
+- **Är den snabb för stora dataset?** När den är korrekt indexerad körs sökningar på under en sekund även på miljontals poster.
+
+## Vad är date range search?
+Date range search låter dig hitta dokument som innehåller datum som faller mellan två gränser, till exempel “2023‑01‑01 ~~ 2023‑12‑31”. Det är avgörande för rapporter, revisionsloggar och alla scenarier där tidsbaserad filtrering är viktig.
+
+## Varför använda GroupDocs.Search för Java?
+GroupDocs.Search erbjuder ett enhetligt API för många frågetyper — simple, wildcard, faceted, numeric, date range, regex, boolean och phrase — så att du kan bygga sofistikerade sökupplevelser utan att jonglera med flera bibliotek. Dess händelsedrivna felhantering håller också din indexeringspipeline robust.
+
+## Förutsättningar
+- **GroupDocs.Search Java‑bibliotek** (v25.4 eller nyare).
+- **Java Development Kit (JDK)** som är kompatibel med ditt projekt.
+- Maven för beroendehantering (eller manuell nedladdning).
+
+### Nödvändiga bibliotek och miljöinställning
+Lägg till GroupDocs‑förrådet och beroendet i din `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Alternativ installation
+For direct downloads, visit [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Licensiering och initial konfiguration
+Börja med en gratis provperiod eller en tillfällig licens:
+
+- Visit [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) for details.
+
+Nu ska vi skapa indexmappen som kommer att hålla dina sökbara data.
+
+## Konfigurera GroupDocs.Search för Java
+
+### Grundläggande initiering
+Först, skapa ett `Index`‑objekt som pekar på en mapp på disken:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Du har nu en gateway till alla sökoperationer.
+
+## Implementationsguide
+
+### Funktion 1: Felhantering vid indexering
+#### Hur man fångar indexeringsfel (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Varför det är viktigt*: Genom att lyssna på `ErrorOccurred` kan du logga problem, försöka igen med misslyckade filer eller varna användare utan att krascha hela processen.
+
+### Funktion 2: Enkelt sökfråga
+#### Vad är en enkel sökning?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Resultat*: Returnerar varje dokument som innehåller termen **volutpat**.
+
+### Funktion 3: Wildcard‑sökfråga
+#### Hur fungerar wildcard‑sökning?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Resultat*: Matchar både **affect** och **effect**, vilket visar kraften i `?`‑platshållaren.
+
+### Funktion 4: Faceted‑sökfråga
+#### Hur man utför faceted‑sökning i Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Resultat*: Begränsar sökningen till fältet **Content**, idealiskt för filtrering efter metadata som kategori eller författare.
+
+### Funktion 5: Numerisk intervallsökning
+#### Hur man söker numeriska intervall
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Resultat*: Hämtar dokument där numeriska värden ligger mellan 2000 och 3000.
+
+### Funktion 6: Dataintervallssökning
+#### Hur man utför dataintervallssökning
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Förklaring*: Genom att anpassa `SearchOptions` talar du om för motorn att känna igen datum i formatet **MM/DD/YYYY**, och sedan hämta alla poster mellan 1 januari 2000 och 15 juni 2001.
+
+### Funktion 7: Regex‑sökfråga
+#### Hur man kör regex‑sökning i Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Resultat*: Hittar sekvenser av tre eller fler identiska tecken (t.ex. “aaa”, “111”).
+
+### Funktion 8: Boolean‑sökfråga
+#### Hur man kombinerar villkor med boolean‑sökning i Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Resultat*: Returnerar dokument som innehåller **justo** men utesluter de som också innehåller **3456**.
+
+### Funktion 9: Komplex Boolean‑sökfråga
+#### Hur man skapar avancerade boolean‑frågor
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Resultat*: Söker efter filnamn liknande “English” (tillåter 1‑3 teckenvariationer) **eller** innehåll som innehåller både **3456** och **consequat**.
+
+### Funktion 10: Fras‑sökfråga
+#### Hur man söker exakta fraser
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Resultat*: Hämtar endast dokument som innehåller den exakta frasen **ipsum dolor sit amet**.
+
+## Praktiska tillämpningar
+1. **E‑handelsplattformar** – Använd faceted search Java för att filtrera produkter efter storlek, färg och märke.
+2. **Innehållshanteringssystem** – Kombinera boolean search Java med phrase search för att driva sofistikerade redaktionsverktyg.
+3. **Dataanalysverktyg** – Utnyttja date range search för att generera tidsbaserade rapporter och instrumentpaneler.
+
+## Vanliga problem & lösningar
+- **Inga resultat för date range search** – Verifiera att datumformatet i dina dokument matchar den anpassade `DateFormat` du lagt till.
+- **Regex‑frågor ger för många träffar** – Förfina mönstret eller begränsa sökområdet med ytterligare fältkvalificerare.
+- **Indexeringsfel fångas inte** – Se till att händelsehanteraren är ansluten **innan** du anropar `index.add(...)`.
+
+## Vanliga frågor
+
+**Q: Kan jag blanda date range search med andra frågetyper?**
+A: Absolut. Du kan kombinera ett date range‑villkor med boolean‑operatorer, faceted‑filter eller regex‑mönster i en enda frågesträng.
+
+**Q: Måste jag bygga om indexet efter att ha ändrat datumformat?**
+A: Ja. Indexet lagrar tokeniserade termer; att bara uppdatera `SearchOptions` kommer inte att tokenisera om befintliga data. Indexera dokumenten på nytt efter att ha ändrat formaten.
+
+**Q: Hur hanterar GroupDocs.Search stora index?**
+A: Det använder inkrementell indexering och lagring på disk, vilket gör att du kan skala till miljontals dokument samtidigt som minnesanvändningen hålls låg.
+
+**Q: Finns det en gräns för antalet wildcard‑tecken?**
+A: Wildcards behandlas effektivt, men att använda många ledande wildcards (t.ex. `*term`) kan försämra prestandan. Föredra prefix‑ eller suffix‑wildcards.
+
+**Q: Vilken licensmodell rekommenderas för produktion?**
+A: En evig eller prenumerationslicens från GroupDocs säkerställer att du får uppdateringar, support och möjlighet att distribuera utan begränsningar i provperioden.
+
+## Slutsats
+Genom att bemästra **date range search** och hela sviten av avancerade frågetyper som erbjuds av GroupDocs.Search för Java kan du bygga mycket responsiva, funktionsrika sökupplevelser. Implementera robust felhantering, finjustera ditt index och kombinera frågor för att möta i princip alla återhämtningsscenarier. Börja experimentera idag och lyft din applikations dataåtkomstmöjligheter.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 (Java)
+**Author:** GroupDocs
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+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: สำรวจคอลเลกชันบทเรียน GroupDocs.Search สำหรับนักพัฒนา .NET และ Java.
+ เชี่ยวชาญการทำดัชนีเอกสาร, ความสามารถในการค้นหา, และฟีเจอร์ขั้นสูงได้อย่างง่ายดาย.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: บทเรียน GroupDocs.Search – ปลดล็อกพลังการค้นหาเอกสาร
+type: docs
+url: /th/
+weight: 11
+---
+
+# GroupDocs.Search Tutorial – ปลดล็อกพลังการค้นหาเอกสาร
+
+Welcome to the **GroupDocs.Search tutorial** hub, your one‑stop destination for mastering document search and indexing across .NET and Java platforms. Whether you’re building a small internal tool or a large‑scale enterprise solution, these step‑by‑step guides will help you implement fast, accurate, and scalable search functionality. You’ll learn everything from basic indexing to sophisticated query building, all while leveraging the full power of GroupDocs.Search.
+
+## ทำไมต้องใช้ GroupDocs.Search Tutorial?
+
+The tutorial series is designed with real‑world scenarios in mind, so you can quickly apply what you learn to your projects. By following these guides you will:
+
+- Gain a solid understanding of **document indexing** techniques.
+- Learn how to craft efficient **search capabilities** that handle large document collections.
+- Explore advanced features such as fuzzy search, highlighting, and distributed search networks.
+- Reduce development time with clear, example‑driven instructions for both .NET and Java environments.
+
+{{% alert color="primary" %}}
+สำรวจความสามารถการค้นหาเอกสารที่ทรงพลังใน .NET ด้วยบทแนะนำ GroupDocs.Search ตั้งแต่การทำดัชนีพื้นฐานจนถึงเทคนิคการค้นขั้นสูง บทเรียนของเรามอบคำแนะนำที่ครอบคลุมสำหรับนักพัฒนาทุกระดับทักษะ ดำดิ่งสู่หัวข้อต่าง ๆ เช่น boolean search, fuzzy search, highlighting, การจัดการพจนานุกรม, และโซลูชันการค้นแบบกระจาย เพื่อเปิดศักยภาพเต็มของ GroupDocs.Search สำหรับ .NET ยกระดับฟังก์ชันการค้นหาในแอปพลิเคชันของคุณและทำให้การค้นหาเอกสารเป็นเรื่องง่ายด้วยบทเรียนที่ทำตามได้ง่าย
+{{% /alert %}}
+
+## GroupDocs.Search for .NET บทแนะนำ
+
+### คำแนะนำการค้นหา .NET ที่สำคัญ
+
+- [ทำดัชนี](./net/indexing/)
+- [การค้นหา](./net/searching/)
+- [การเน้นข้อความ](./net/highlighting/)
+- [พจนานุกรมและการประมวลผลภาษา](./net/dictionaries-language-processing/)
+- [การจัดการเอกสาร](./net/document-management/)
+- [OCR และการค้นหาภาพ](./net/ocr-image-search/)
+- [คุณลักษณะขั้นสูง](./net/advanced-features/)
+- [เครือข่ายการค้นหา](./net/search-network/)
+- [การเพิ่มประสิทธิภาพการทำงาน](./net/performance-optimization/)
+- [การจัดการข้อยกเว้นและการบันทึก](./net/exception-handling-logging/)
+- [การบูรณาการและการทำงานร่วมกัน](./net/integration-interoperability/)
+- [การให้สิทธิ์และการกำหนดค่า](./net/licensing-configuration/)
+- [การสกัดและประมวลผลข้อความ](./net/text-extraction-processing/)
+- [คำค้นและการสร้างคำค้น](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+ค้นพบบทแนะนำที่ครอบคลุมสำหรับ GroupDocs.Search ใน Java ตั้งแต่เทคนิคการทำดัชนีพื้นฐานจนถึงฟังก์ชันการค้นขั้นสูง คู่มือแบบขั้นตอนของเรามอบความรู้ให้กับนักพัฒนา Java เพื่อดำเนินการโซลูชันการค้นหาเอกสารที่ทรงพลัง เรียนรู้การทำงานกับรูปแบบเอกสารต่าง ๆ รวมถึง PDF, Word, Excel, งานนำเสนอ และอื่น ๆ เชี่ยวชาญเทคนิคการสร้างดัชนี, การทำการค้นหาประเภทต่าง ๆ, การเน้นผลลัพธ์, และการเพิ่มประสิทธิภาพการทำงานเพื่อยกระดับแอปพลิเคชัน Java ของคุณด้วยความสามารถการค้นหาที่แข็งแกร่ง
+{{% /alert %}}
+
+## GroupDocs.Search for Java บทแนะนำ
+
+### คำแนะนำการค้นหา Java ที่สำคัญ
+
+- [เริ่มต้น](./java/getting-started/)
+- [ทำดัชนี](./java/indexing/)
+- [การค้นหา](./java/searching/)
+- [การเน้นข้อความ](./java/highlighting/)
+- [พจนานุกรมและการประมวลผลภาษา](./java/dictionaries-language-processing/)
+- [การจัดการเอกสาร](./java/document-management/)
+- [OCR และการค้นหาภาพ](./java/ocr-image-search/)
+- [คุณลักษณะขั้นสูง](./java/advanced-features/)
+- [เครือข่ายการค้นหา](./java/search-network/)
+- [การเพิ่มประสิทธิภาพการทำงาน](./java/performance-optimization/)
+- [การจัดการข้อยกเว้นและการบันทึก](./java/exception-handling-logging/)
+- [การให้สิทธิ์และการกำหนดค่า](./java/licensing-configuration/)
+- [การสกัดและประมวลผลข้อความ](./java/text-extraction-processing/)
+
+---
+
+**อัปเดตล่าสุด:** 2025-12-16
+**ผู้เขียน:** GroupDocs
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diff --git a/content/thai/java/advanced-features/_index.md b/content/thai/java/advanced-features/_index.md
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+---
+date: 2025-12-16
+description: เรียนรู้วิธีสร้างดัชนีการค้นหาและใช้งานช่วงวันที่ การค้นหาแบบ faceted
+ และการกรองเอกสารด้วยบทเรียน GroupDocs.Search Java.
+title: 'สร้างดัชนีการค้นหา - บทเรียน GroupDocs.Search Java'
+type: docs
+url: /th/java/advanced-features/
+weight: 8
+---
+
+# สร้างดัชนีการค้นหา: GroupDocs.Search Java บทเรียน
+
+Welcome to the hub for **การสร้างดัชนีการค้นหา** and unlocking advanced search capabilities with GroupDocs.Search for Java. Whether you’re looking to **implement date range** queries, apply **file extension filtering Java**, or build **complex search Java** solutions, these tutorials give you step‑by‑step guidance, real‑world examples, and ready‑to‑run code. By the end of this guide you’ll understand how to design powerful search experiences that scale with large document collections.
+
+## วิธีสร้างดัชนีการค้นหาด้วย GroupDocs.Search Java?
+
+* ตั้งค่าดัชนีและเพิ่มเอกสารอย่างมีประสิทธิภาพ.
+* ใช้เมตาดาต้าและแอตทริบิวต์เพื่อเพิ่มคุณค่าให้กับผลการค้นหา.
+* ใช้ตัวกรองเช่น **document filtering java** และ **file extension filtering java** เพื่อลดผลลัพธ์ให้แคบลง.
+* ดำเนินการคิวรี **complex search java** ที่รวมหลายเกณฑ์รวมถึงข้อจำกัด **implement date range**.
+
+## บทเรียนที่มี
+
+### [การค้นหาเอกสารแบบ Chunk-Based ใน Java: คู่มือครบวงจรโดยใช้ GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Learn how to implement efficient chunk-based document searches with GroupDocs.Search for Java. Enhance productivity and manage large datasets seamlessly.
+
+### [การค้นหาแบบ Faceted และ Complex ใน Java: เชี่ยวชาญ GroupDocs.Search สำหรับฟีเจอร์ขั้นสูง](./faceted-complex-search-groupdocs-java/)
+Learn how to implement faceted and complex searches in Java applications using GroupDocs.Search, enhancing search functionality and user experience.
+
+### [การใช้งาน GroupDocs.Search Java: คู่มือการทำดัชนีและรายงานอย่างครบวงจร](./groupdocs-search-java-index-report-guide/)
+Master GroupDocs.Search in Java for efficient document indexing and reporting. Learn to create indexes, add documents, and generate reports with this detailed guide.
+
+### [เชี่ยวชาญการค้นหา Date Range ใน Java ด้วย GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+A code tutorial for GroupDocs.Search Java
+
+### [เชี่ยวชาญ GroupDocs.Search Java: ฟีเจอร์การค้นหาแบบขั้นสูงสำหรับการดึงข้อมูลที่มีประสิทธิภาพ](./groupdocs-search-java-advanced-search-features/)
+Learn to master advanced search features in GroupDocs.Search for Java, including error handling, various query types, and performance optimization.
+
+### [เชี่ยวชาญการกรองไฟล์ Java ด้วย GroupDocs.Search: คู่มือแบบขั้นตอน](./master-java-file-filtering-groupdocs-search/)
+Learn how to efficiently manage and filter files in Java using GroupDocs.Search, including file extension, logical operators, and more.
+
+### [เชี่ยวชาญ GroupDocs.Search สำหรับ Java: คู่มือครบถ้วนของคุณสำหรับการทำดัชนีและการค้นหาเอกสาร](./groupdocs-search-java-implementation-guide/)
+Learn how to implement GroupDocs.Search in Java with this comprehensive guide. Discover robust text extraction, serialization, indexing, and search features.
+
+## แหล่งข้อมูลเพิ่มเติม
+
+- [เอกสาร GroupDocs.Search สำหรับ Java](https://docs.groupdocs.com/search/java/)
+- [อ้างอิง API GroupDocs.Search สำหรับ Java](https://reference.groupdocs.com/search/java/)
+- [ดาวน์โหลด GroupDocs.Search สำหรับ Java](https://releases.groupdocs.com/search/java/)
+- [ฟอรั่ม GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [สนับสนุนฟรี](https://forum.groupdocs.com/)
+- [ใบอนุญาตชั่วคราว](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**อัปเดตล่าสุด:** 2025-12-16
+**ผู้เขียน:** GroupDocs
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+---
+date: '2025-12-16'
+description: เรียนรู้วิธีสร้างดัชนีการค้นหาใน Java และดำเนินการค้นหาแบบ faceted และซับซ้อนโดยใช้
+ GroupDocs.Search เพื่อเพิ่มประสิทธิภาพการค้นหาและประสบการณ์ผู้ใช้
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: สร้างดัชนีการค้นหา Java – การค้นหาแบบหลายมิติและซับซ้อน
+type: docs
+url: /th/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# สร้างดัชนีการค้นหา Java – Faceted & Complex Searches
+
+การนำประสบการณ์ **search experience** ที่ทรงพลังใน Java ไปใช้สามารถรู้สึกท่วมท้นได้ โดยเฉพาะเมื่อคุณต้อง **create search index Java** โครงการที่จัดการกับคอลเลกชันเอกสารขนาดใหญ่ โชคดีที่ **GroupDocs.Search for Java** มี API ที่ครอบคลุมซึ่งช่วยให้คุณสร้างการค้นหาแบบ faceted และ complex ด้วยเพียงไม่กี่บรรทัดของโค้ด ในบทแนะนำนี้คุณจะได้เรียนรู้วิธีตั้งค่าไลบรารี, **create a search index Java**, เพิ่มเอกสาร, และรันการค้นหา faceted แบบง่ายและการค้นหา multi‑criteria ที่ซับซ้อน
+
+## Quick Answers
+- **What is a faceted search?** วิธีการกรองผลลัพธ์โดยใช้หมวดหมู่ที่กำหนดไว้ล่วงหน้า (เช่น file type, date).
+- **How do I create a search index Java?** เริ่มต้นอ็อบเจ็กต์ `Index` ที่ชี้ไปยังโฟลเดอร์และเพิ่มเอกสาร.
+- **Can I combine multiple criteria?** ใช่—ใช้การค้นหาแบบ object‑based หรือโอเปอร์เรเตอร์ Boolean ในข้อความค้นหา.
+- **Do I need a license?** การทดลองใช้ฟรีทำงานสำหรับการพัฒนา; ไลเซนส์เชิงพาณิชย์จะลบข้อจำกัดทั้งหมด.
+- **Which IDE works best?** IDE Java ใดก็ได้ (IntelliJ IDEA, Eclipse, NetBeans) ทำงานได้ดี.
+
+## What is “create search index java”?
+การสร้างดัชนีการค้นหาใน Java หมายถึงการสร้างโครงสร้างข้อมูลที่สามารถค้นหาได้ซึ่งเก็บเมตาดาต้าและเนื้อหาเอกสาร ทำให้การดึงข้อมูลตามคำค้นของผู้ใช้ทำได้อย่างรวดเร็ว ด้วย GroupDocs.Search ดัชนีจะอยู่บนดิสก์ สามารถอัปเดตแบบเพิ่มส่วนได้ และรองรับฟีเจอร์ขั้นสูงเช่น faceting และตรรกะ Boolean ที่ซับซ้อน
+
+## Why use GroupDocs.Search for faceted and complex queries?
+- **Out‑of‑the‑box faceting** – กรองตามฟิลด์เช่น file name, size, หรือ custom metadata.
+- **Rich query language** – ผสมผสานการค้นหาแบบ text, phrase, และ field queries โดยใช้ AND/OR/NOT operators.
+- **Scalable performance** – ดัชนีหลายล้านเอกสารพร้อมรักษาความหน่วงของการค้นหาให้ต่ำ.
+- **Pure Java** – ไม่มีการพึ่งพา native, ทำงานบนแพลตฟอร์มใดก็ได้ที่รัน JDK 8+.
+
+## Prerequisites
+
+- **JDK 8 หรือใหม่กว่า** ที่ติดตั้งและกำหนดค่าใน IDE ของคุณ.
+- **Maven** (หรือ Gradle) สำหรับการจัดการ dependencies.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- ความคุ้นเคยพื้นฐานกับแนวคิด OOP ของ Java และโครงสร้างโครงการ Maven.
+
+## Setting Up GroupDocs.Search for Java
+
+### Maven Setup
+เพิ่ม repository และ dependency ไปยังไฟล์ `pom.xml` ของคุณ:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Direct Download
+หรืออีกทางหนึ่ง ดาวน์โหลด JAR ล่าสุดจากหน้า release อย่างเป็นทางการ:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### License Acquisition
+เพื่อเปิดใช้งานฟังก์ชันเต็ม:
+
+1. **Free trial** – perfect for development and testing.
+2. **Temporary evaluation license** – extends trial limits.
+3. **Commercial license** – removes all restrictions for production use.
+
+### Basic Initialization and Setup
+โค้ดต่อไปนี้แสดงวิธี **create a search index Java** โดยการสร้างอินสแตนซ์ของคลาส `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+เมื่อดัชนีพร้อมแล้ว เราสามารถดำเนินการต่อไปยังการค้นหา faceted และ complex ในโลกจริงได้
+
+## How to create search index java – Simple Faceted Search
+
+การค้นหา faceted ช่วยให้ผู้ใช้ปลายทางสามารถจำกัดผลลัพธ์โดยการเลือกค่าจากหมวดหมู่ที่กำหนดไว้ล่วงหน้า (facets). ด้านล่างเป็นขั้นตอนแบบทีละขั้นตอน
+
+### Step 1: Create an Index
+ขั้นตอนที่ 1: สร้างดัชนี
+แรกสุด ให้ชี้ `Index` ไปยังโฟลเดอร์ที่ไฟล์ดัชนีจะถูกจัดเก็บ.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Step 2: Add Documents to the Index
+ขั้นตอนที่ 2: เพิ่มเอกสารลงในดัชนี
+บอก GroupDocs.Search ว่าเอกสารต้นฉบับของคุณอยู่ที่ไหน. ทุกประเภทไฟล์ที่รองรับ (PDF, DOCX, TXT, ฯลฯ) จะถูกทำดัชนีโดยอัตโนมัติ.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Step 3: Perform a Search in the Content Field with a Text Query
+ขั้นตอนที่ 3: ทำการค้นหาในฟิลด์ Content ด้วยข้อความค้นหา
+ข้อความค้นหาอย่างรวดเร็วจะกรองโดยฟิลด์ `content`. ไวยากรณ์ `content: Pellentesque` จะจำกัดผลลัพธ์ให้กับเอกสารที่มีคำ *Pellentesque* อยู่ในเนื้อความ.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Step 4: Perform a Search Using an Object Query
+ขั้นตอนที่ 4: ทำการค้นหาโดยใช้ Object Query
+การค้นหาแบบ object‑based ให้การควบคุมที่ละเอียด. ที่นี่เราสร้าง word query, ห่อไว้ใน field query, แล้วดำเนินการ.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## How to create search index java – Complex Query Search
+
+การค้นหาแบบ complex รวมหลายฟิลด์, โอเปอร์เรเตอร์ Boolean, และการค้นหาวลี. เหมาะสำหรับสถานการณ์เช่นการกรอง e‑commerce หรือการวิจัยเอกสารกฎหมาย
+
+### Step 1: Create an Index for Complex Queries
+ขั้นตอนที่ 1: สร้างดัชนีสำหรับการค้นหาแบบ Complex
+ใช้โครงสร้างโฟลเดอร์เดียวกัน; คุณสามารถแชร์ดัชนีระหว่างสถานการณ์แบบง่ายและซับซ้อนได้.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Step 2: Perform a Search with a Text Query
+ขั้นตอนที่ 2: ทำการค้นหาด้วยข้อความค้นหา
+คำสั่งต่อไปนี้ค้นหาไฟล์ที่ชื่อ *lorem* **และ** *ipsum* **หรือ** เนื้อหาที่มีหนึ่งในสองวลีที่ตรงกัน.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Step 3: Perform a Search with an Object Query
+ขั้นตอนที่ 3: ทำการค้นหาโดยใช้ Object Query
+การสร้างแบบ object‑based สะท้อนคำสั่งข้อความแต่ให้ความปลอดภัยของประเภทและความช่วยเหลือจาก IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Practical Applications of Faceted & Complex Searches
+
+| สถานการณ์ | วิธีที่ Faceting ช่วย | ตัวอย่าง Query |
+|----------|-------------------|---------------|
+| **E‑commerce catalog** | กรองตามหมวดหมู่, ราคา, ยี่ห้อ | `category: Electronics AND price:[100 TO 500]` |
+| **Legal document repository** | จำกัดโดย case number, jurisdiction | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Research archives** | รวม author, year, keywords | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Enterprise intranet** | ค้นหาตาม filetype และ department | `filetype: pdf AND department: HR` |
+
+ตัวอย่างเหล่านี้แสดงให้เห็นว่าทำไมการเชี่ยวชาญเทคนิค **create search index java** จึงเป็นการเปลี่ยนเกมสำหรับแอปพลิเคชันที่มีข้อมูลจำนวนมาก
+
+## Common Pitfalls & Troubleshooting
+
+- **Empty results** – ตรวจสอบว่าเอกสารถูกเพิ่มสำเร็จ (`index.getDocumentCount()` สามารถช่วยได้).
+- **Stale index** – หลังจากเพิ่มหรือเอาไฟล์ออก, เรียก `index.update()` เพื่อให้ดัชนีสอดคล้อง.
+- **Incorrect field names** – ใช้ค่าสถิต `CommonFieldNames` (`Content`, `FileName`, ฯลฯ) เพื่อหลีกเลี่ยงการพิมพ์ผิด.
+- **Performance bottlenecks** – สำหรับคอลเลกชันขนาดใหญ่, พิจารณาเปิดใช้งาน `index.setCacheSize()` หรือใช้ SSD เฉพาะสำหรับโฟลเดอร์ดัชนี.
+
+## Frequently Asked Questions
+
+**Q: Can I use GroupDocs.Search with Spring Boot?**
+A: แน่นอน. เพียงเพิ่ม dependency ของ Maven, ตั้งค่าดัชนีเป็น Spring bean, แล้ว inject ไปที่ต้องการ.
+
+**Q: Does the library support custom metadata fields?**
+A: ใช่ – คุณสามารถเพิ่มฟิลด์ที่ผู้ใช้กำหนดระหว่างการทำดัชนีและทำ faceting บนฟิลด์เหล่านั้น.
+
+**Q: How large can the index grow?**
+A: ดัชนีเป็นแบบอิงดิสก์และสามารถจัดการกับเอกสารหลายล้านรายการ; เพียงตรวจสอบพื้นที่จัดเก็บเพียงพอและเฝ้าติดตามการตั้งค่า cache.
+
+**Q: Is there a way to rank results by relevance?**
+A: GroupDocs.Search จะให้คะแนนการจับคู่โดยอัตโนมัติ; คุณสามารถดึงคะแนนได้ผ่าน `SearchResult.getDocument(i).getScore()`.
+
+**Q: What happens if I index encrypted PDFs?**
+A: ให้รหัสผ่านเมื่อเพิ่มเอกสาร: `index.add(filePath, password)`.
+
+## Conclusion
+
+ตอนนี้คุณควรจะรู้สึกมั่นใจในการ **create search index Java** ด้วย GroupDocs.Search, การเพิ่มเอกสาร, และการสร้างทั้งการค้นหา faceted แบบง่ายและการค้นหา Boolean ที่ซับซ้อน ความสามารถเหล่านี้ทำให้คุณสามารถมอบประสบการณ์การค้นหาที่เร็ว, แม่นยำ, และเป็นมิตรต่อผู้ใช้ในแอปพลิเคชันหลากหลาย – ตั้งแต่แพลตฟอร์ม e‑commerce ไปจนถึงฐานความรู้ขององค์กร
+
+พร้อมสำหรับขั้นตอนต่อไปหรือยัง? สำรวจฟีเจอร์ขั้นสูงของ **GroupDocs.Search** เช่น **highlighting**, **suggestions**, และ **real‑time indexing** เพื่อเพิ่มพลังการค้นหาในแอปของคุณต่อไป
+
+---
+
+**อัปเดตล่าสุด:** 2025-12-16
+**ทดสอบด้วย:** GroupDocs.Search 25.4 for Java
+**ผู้เขียน:** GroupDocs
\ No newline at end of file
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+---
+date: '2025-12-16'
+description: เรียนรู้วิธีทำการค้นหาช่วงวันที่และคุณลักษณะการค้นหาขั้นสูงอื่น ๆ เช่น
+ การค้นหาแบบ faceted ด้วย Java โดยใช้ GroupDocs.Search for Java รวมถึงการจัดการข้อผิดพลาดและการปรับประสิทธิภาพการทำงาน
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - การค้นหาช่วงวันที่และคุณลักษณะขั้นสูง'
+type: docs
+url: /th/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# เชี่ยวชาญ GroupDocs.Search Java: การค้นหาช่วงวันที่และคุณลักษณะขั้นสูง
+
+ในแอปพลิเคชันที่ขับเคลื่อนด้วยข้อมูลในยุคปัจจุบัน **date range search** เป็นความสามารถหลักที่ช่วยให้คุณกรองเอกสารตามช่วงเวลา ทำให้ความเกี่ยวข้องและความเร็วในการค้นหาดีขึ้นอย่างมาก ไม่ว่าคุณจะกำลังสร้างพอร์ทัลการปฏิบัติตามกฎ, แคตาล็อกอี‑คอมเมิร์ซ, หรือระบบจัดการเนื้อหา การเชี่ยวชาญการค้นหาช่วงวันที่พร้อมกับประเภทคำค้นที่ทรงพลังอื่น ๆ จะทำให้โซลูชันของคุณยืดหยุ่นและแข็งแกร่ง คู่มือนี้จะพาคุณผ่านการจัดการข้อผิดพลาด ชุดคำค้นเต็มรูปแบบ และเคล็ดลับการปรับประสิทธิภาพ ทั้งหมดนี้มาพร้อมกับโค้ด Java จริงที่คุณสามารถคัดลอก‑วางได้
+
+## คำตอบสั้น
+- **date range search คืออะไร?** การกรองเอกสารที่มีวันที่อยู่ในช่วงเริ่ม‑ถึง‑สิ้นที่กำหนด
+- **ไลบรารีใดให้ฟีเจอร์นี้?** GroupDocs.Search สำหรับ Java
+- **ต้องมีลิขสิทธิ์หรือไม่?** ทดลองใช้ฟรีสำหรับการพัฒนา; ต้องมีลิขสิทธิ์สำหรับการใช้งานเชิงพาณิชย์
+- **สามารถผสานกับคำค้นอื่นได้หรือไม่?** ได้ — ผสานช่วงวันที่กับคำค้นแบบ boolean, faceted, หรือ regex
+- **เร็วพอสำหรับชุดข้อมูลขนาดใหญ่หรือไม่?** เมื่อทำการจัดทำดัชนีอย่างเหมาะสม การค้นหาจะทำได้ในระดับวินาทีย่อยแม้กับหลายล้านระเบียน
+
+## date range search คืออะไร?
+date range search ช่วยให้คุณค้นหาเอกสารที่มีวันที่อยู่ระหว่างขอบเขตสองค่า เช่น “2023‑01‑01 ~~ 2023‑12‑31” เป็นสิ่งจำเป็นสำหรับรายงาน, บันทึกการตรวจสอบ, และทุกสถานการณ์ที่การกรองตามเวลาเป็นหัวใจสำคัญ
+
+## ทำไมต้องใช้ GroupDocs.Search สำหรับ Java?
+GroupDocs.Search มี API แบบรวมศูนย์สำหรับหลายประเภทคำค้น — simple, wildcard, faceted, numeric, date range, regex, boolean, และ phrase — ทำให้คุณสร้างประสบการณ์การค้นหาที่ซับซ้อนได้โดยไม่ต้องสลับไลบรารีหลายตัว ระบบจัดการข้อผิดพลาดแบบ event‑driven ยังช่วยให้ไพป์ไลน์การทำดัชนีของคุณคงทนต่อความล้มเหลว
+
+## ข้อกำหนดเบื้องต้น
+- **GroupDocs.Search Java library** (เวอร์ชัน 25.4 หรือใหม่กว่า)
+- **Java Development Kit (JDK)** ที่เข้ากันได้กับโปรเจกต์ของคุณ
+- Maven สำหรับจัดการ dependency (หรือดาวน์โหลดด้วยตนเอง)
+
+### ไลบรารีและการตั้งค่าสภาพแวดล้อมที่จำเป็น
+เพิ่มรีโพซิทอรีและ dependency ของ GroupDocs ลงใน `pom.xml` ของคุณ:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### การตั้งค่าแบบทางเลือก
+สำหรับการดาวน์โหลดโดยตรง ให้เยี่ยมชม [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### การให้ลิขสิทธิ์และการตั้งค่าเริ่มต้น
+เริ่มต้นด้วยการทดลองใช้ฟรีหรือใบอนุญาตชั่วคราว:
+
+- เยี่ยมชม [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) เพื่อดูรายละเอียด
+
+ตอนนี้มาสร้างโฟลเดอร์ดัชนีที่จะเก็บข้อมูลที่สามารถค้นหาได้ของคุณ
+
+## การตั้งค่า GroupDocs.Search สำหรับ Java
+
+### การเริ่มต้นพื้นฐาน
+แรกสุด ให้สร้างอ็อบเจกต์ `Index` ที่ชี้ไปยังโฟลเดอร์บนดิสก์:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+คุณจะมี “ประตู” ไปสู่การดำเนินการค้นหาทั้งหมด
+
+## คู่มือการใช้งาน
+
+### ฟีเจอร์ 1: การจัดการข้อผิดพลาดในการทำดัชนี
+#### วิธีดักจับข้อผิดพลาดขณะทำดัชนี (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*ทำไมถึงสำคัญ*: ด้วยการฟังเหตุการณ์ `ErrorOccurred` คุณสามารถบันทึกปัญหา, ลองทำดัชนีไฟล์ที่ล้มเหลวใหม่, หรือแจ้งเตือนผู้ใช้โดยไม่ทำให้กระบวนการทั้งหมดหยุดทำงาน
+
+### ฟีเจอร์ 2: คำค้นแบบ Simple Search
+#### Simple search คืออะไร?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*ผลลัพธ์*: คืนค่าเอกสารทุกไฟล์ที่มีคำ **volutpat**
+
+### ฟีเจอร์ 3: คำค้นแบบ Wildcard Search
+#### Wildcard search ทำงานอย่างไร?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*ผลลัพธ์*: ตรงกับ **affect** และ **effect** แสดงพลังของตัวแทน `?`
+
+### ฟีเจอร์ 4: คำค้นแบบ Faceted Search
+#### วิธีทำ faceted search ด้วย Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*ผลลัพธ์*: จำกัดการค้นหาไปที่ฟิลด์ **Content** เหมาะสำหรับการกรองตามเมตาดาต้า เช่น หมวดหมู่หรือผู้เขียน
+
+### ฟีเจอร์ 5: คำค้นแบบ Numeric Range Search
+#### วิธีค้นหาช่วงตัวเลข
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*ผลลัพธ์*: ดึงเอกสารที่ค่าตัวเลขอยู่ระหว่าง 2000 ถึง 3000
+
+### ฟีเจอร์ 6: คำค้นแบบ Date Range Search
+#### วิธีดำเนินการ date range search
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*คำอธิบาย*: โดยการปรับ `SearchOptions` คุณบอกเอนจินให้รับรู้วันที่ในรูปแบบ **MM/DD/YYYY** แล้วดึงบันทึกทั้งหมดระหว่าง 1 มกราคม 2000 ถึง 15 มิถุนายน 2001
+
+### ฟีเจอร์ 7: คำค้นแบบ Regular Expression Search
+#### วิธีรัน regex search ด้วย Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*ผลลัพธ์*: ค้นหาลำดับของอักขระที่ซ้ำกันสามตัวหรือมากกว่า (เช่น “aaa”, “111”)
+
+### ฟีเจอร์ 8: คำค้นแบบ Boolean Search
+#### วิธีผสานเงื่อนไขด้วย boolean search ใน Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*ผลลัพธ์*: คืนค่าเอกสารที่มี **justo** แต่ไม่รวมเอกสารที่มี **3456** ด้วย
+
+### ฟีเจอร์ 9: คำค้นแบบ Complex Boolean Search
+#### วิธีสร้าง boolean query ขั้นสูง
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*ผลลัพธ์*: ค้นหาไฟล์ชื่อที่คล้ายกับ “English” (อนุญาตให้มีการเปลี่ยนแปลง 1‑3 ตัวอักษร) **หรือ** เนื้อหาที่มีทั้ง **3456** และ **consequat**
+
+### ฟีเจอร์ 10: คำค้นแบบ Phrase Search
+#### วิธีค้นหาวลีที่ตรงกันเป๊ะ
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*ผลลัพธ์*: ดึงเอกสารที่มีวลี **ipsum dolor sit amet** อย่างเดียว
+
+## การประยุกต์ใช้งานจริง
+1. **แพลตฟอร์มอี‑คอมเมิร์ซ** – ใช้ faceted search Java เพื่อกรองสินค้าโดยขนาด, สี, และแบรนด์
+2. **ระบบจัดการเนื้อหา** – ผสาน boolean search Java กับ phrase search เพื่อขับเคลื่อนเครื่องมือบรรณาธิการขั้นสูง
+3. **เครื่องมือวิเคราะห์ข้อมูล** – ใช้ date range search เพื่อสร้างรายงานและแดชบอร์ดตามช่วงเวลา
+
+## ปัญหาที่พบบ่อย & วิธีแก้ไข
+- **ไม่มีผลลัพธ์จาก date range search** – ตรวจสอบให้แน่ใจว่ารูปแบบวันที่ในเอกสารตรงกับ `DateFormat` ที่คุณกำหนดไว้
+- **Regex query ให้ผลลัพธ์มากเกินไป** – ปรับรูปแบบหรือจำกัดขอบเขตการค้นหาด้วยตัวกรองฟิลด์เพิ่มเติม
+- **ไม่สามารถดักจับข้อผิดพลาดการทำดัชนี** – ตรวจสอบให้แน่ใจว่าได้ผูก event handler **ก่อน** เรียก `index.add(...)`
+
+## คำถามที่พบบ่อย
+
+**Q: สามารถผสาน date range search กับประเภทคำค้นอื่นได้หรือไม่?**
+A: แน่นอน คุณสามารถรวม clause ของช่วงวันที่กับตัวดำเนินการ boolean, ตัวกรอง faceted, หรือ pattern regex ในสตริงได้
+
+**Q: จำเป็นต้องสร้างดัชนีใหม่หลังจากเปลี่ยนรูปแบบวันที่หรือไม่?**
+A: ใช่ ดัชนีเก็บ tokenized terms; การเปลี่ยน `SearchOptions` เพียงอย่างเดียวจะไม่ทำการ tokenization ใหม่ ต้องทำการ re‑index เอกสารหลังจากปรับรูปแบบ
+
+**Q: GroupDocs.Search จัดการกับดัชนีขนาดใหญ่ได้อย่างไร?**
+A: ใช้การทำดัชนีแบบ incremental และการจัดเก็บบนดิสก์ ทำให้สามารถสเกลถึงหลายล้านเอกสารโดยใช้หน่วยความจำต่ำ
+
+**Q: มีข้อจำกัดจำนวนตัวอักษร wildcard หรือไม่?**
+A: Wildcard ถูกประมวลผลอย่างมีประสิทธิภาพ แต่การใช้ wildcard นำหน้ามาก (เช่น `*term`) อาจทำให้ประสิทธิภาพลดลง แนะนำให้ใช้ prefix หรือ suffix wildcard แทน
+
+**Q: แนะนำโมเดลลิขสิทธิ์แบบใดสำหรับการใช้งานจริง?**
+A: ลิขสิทธิ์แบบ perpetual หรือ subscription จาก GroupDocs จะให้การอัปเดต, การสนับสนุน, และการใช้งานโดยไม่มีข้อจำกัดของ trial
+
+## สรุป
+เมื่อคุณเชี่ยวชาญ **date range search** และชุดคำค้นขั้นสูงทั้งหมดที่ GroupDocs.Search for Java มีให้ คุณจะสามารถสร้างประสบการณ์การค้นหาที่ตอบสนองเร็ว, มีฟีเจอร์ครบครัน และปรับแต่งได้ตามความต้องการ จัดการข้อผิดพลาดอย่างมั่นคง ปรับจูนดัชนีของคุณ และผสานคำค้นหลายประเภทเพื่อรองรับสถานการณ์การดึงข้อมูลใด ๆ เริ่มทดลองวันนี้และยกระดับความสามารถในการเข้าถึงข้อมูลของแอปพลิเคชันของคุณ
+
+---
+
+**อัปเดตล่าสุด:** 2025-12-16
+**ทดสอบกับ:** GroupDocs.Search 25.4 (Java)
+**ผู้เขียน:** GroupDocs
\ No newline at end of file
diff --git a/content/turkish/_index.md b/content/turkish/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/turkish/_index.md
@@ -0,0 +1,74 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: GroupDocs.Search öğretici koleksiyonunu .NET ve Java geliştiricileri
+ için keşfedin. Belge indeksleme, arama yetenekleri ve gelişmiş özelliklerde zahmetsizce
+ uzmanlaşın.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: GroupDocs.Search Eğitimi – Belge Arama Gücünü Açığa Çıkar
+type: docs
+url: /tr/
+weight: 11
+---
+
+# GroupDocs.Search Eğitimi – Belge Arama Gücünü Açığa Çıkarın
+
+**GroupDocs.Search eğitimi** merkezine hoş geldiniz, .NET ve Java platformları üzerinde belge arama ve indekslemeyi ustalaşmanız için tek durak noktanız. Küçük bir iç araç ya da büyük ölçekli bir kurumsal çözüm geliştiriyor olun, bu adım‑adım rehberler hızlı, doğru ve ölçeklenebilir arama işlevselliğini uygulamanıza yardımcı olacak. Temel indekslemeden sofistike sorgu oluşturma tekniklerine kadar her şeyi öğrenecek ve GroupDocs.Search'in tam gücünden yararlanacaksınız.
+
+## Neden GroupDocs.Search Eğitimi Kullanmalısınız?
+
+- **document indexing** tekniklerine sağlam bir anlayış kazanın.
+- Büyük belge koleksiyonlarını işleyebilen verimli **search capabilities** oluşturmayı öğrenin.
+- fuzzy search, highlighting ve dağıtılmış arama ağları gibi gelişmiş özellikleri keşfedin.
+- .NET ve Java ortamları için net, örnek‑odaklı talimatlarla geliştirme süresini azaltın.
+
+{{% alert color="primary" %}}
+.NET'te güçlü belge arama yeteneklerini GroupDocs.Search eğitimleriyle keşfedin. Temel indekslemeden gelişmiş arama tekniklerine kadar, eğitimlerimiz tüm beceri seviyelerindeki geliştiricilere kapsamlı rehberlik sunar. Boolean search, fuzzy search, highlighting, sözlük yönetimi ve dağıtılmış arama çözümleri gibi çeşitli konulara dalın ve .NET için GroupDocs.Search'in tam potansiyelini ortaya çıkarın. Uygulamanızın arama işlevselliğini yükseltin ve belge keşfini kolay‑takip edilebilir eğitimlerimizle hızlandırın.
+{{% /alert %}}
+
+## .NET için GroupDocs.Search Eğitimleri
+
+### Temel .NET Arama Eğitimleri
+
+- [İndeksleme](./net/indexing/)
+- [Arama](./net/searching/)
+- [Vurgulama](./net/highlighting/)
+- [Sözlükler & Dil İşleme](./net/dictionaries-language-processing/)
+- [Belge Yönetimi](./net/document-management/)
+- [OCR & Görüntü Arama](./net/ocr-image-search/)
+- [Gelişmiş Özellikler](./net/advanced-features/)
+- [Arama Ağı](./net/search-network/)
+- [Performans Optimizasyonu](./net/performance-optimization/)
+- [İstisna Yönetimi & Günlükleme](./net/exception-handling-logging/)
+- [Entegrasyon & Uyumluluk](./net/integration-interoperability/)
+- [Lisanslama & Yapılandırma](./net/licensing-configuration/)
+- [Metin Çıkarma & İşleme](./net/text-extraction-processing/)
+- [Sorgular & Sorgu Oluşturma](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Java için GroupDocs.Search kapsamlı eğitimlerini keşfedin. Temel indeksleme tekniklerinden gelişmiş arama işlevselliğine kadar, adım‑adım rehberlerimiz Java geliştiricilerine güçlü belge arama çözümlerini uygulama bilgisi sağlar. PDF, Word, Excel, sunumlar ve daha fazlası dahil çeşitli belge formatlarıyla çalışmayı öğrenin. İndeks oluşturma, farklı arama türlerini gerçekleştirme, sonuçları vurgulama ve performansı optimize etme tekniklerinde uzmanlaşarak Java uygulamalarınızı sağlam arama yetenekleriyle geliştirin.
+{{% /alert %}}
+
+## Java için GroupDocs.Search Eğitimleri
+
+### Temel Java Arama Eğitimleri
+
+- [Başlarken](./java/getting-started/)
+- [İndeksleme](./java/indexing/)
+- [Arama](./java/searching/)
+- [Vurgulama](./java/highlighting/)
+- [Sözlükler & Dil İşleme](./java/dictionaries-language-processing/)
+- [Belge Yönetimi](./java/document-management/)
+- [OCR & Görüntü Arama](./java/ocr-image-search/)
+- [Gelişmiş Özellikler](./java/advanced-features/)
+- [Arama Ağı](./java/search-network/)
+- [Performans Optimizasyonu](./java/performance-optimization/)
+- [İstisna Yönetimi & Günlükleme](./java/exception-handling-logging/)
+- [Lisanslama & Yapılandırma](./java/licensing-configuration/)
+- [Metin Çıkarma & İşleme](./java/text-extraction-processing/)
+
+---
+
+**Son Güncelleme:** 2025-12-16
+**Yazar:** GroupDocs
\ No newline at end of file
diff --git a/content/turkish/java/advanced-features/_index.md b/content/turkish/java/advanced-features/_index.md
new file mode 100644
index 00000000..5d437f29
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+++ b/content/turkish/java/advanced-features/_index.md
@@ -0,0 +1,58 @@
+---
+date: 2025-12-16
+description: GroupDocs.Search Java eğitimleriyle arama dizini oluşturmayı ve tarih
+ aralığı, faceted arama ve belge filtrelemeyi nasıl uygulayacağınızı öğrenin.
+title: 'Arama Dizini Oluşturma - GroupDocs.Search Java Öğreticileri'
+type: docs
+url: /tr/java/advanced-features/
+weight: 8
+---
+
+# Arama Dizini Oluşturma: GroupDocs.Search Java Öğreticileri
+
+GroupDocs.Search for Java ile **arama dizini oluşturma** ve gelişmiş arama yeteneklerini açığa çıkarmak için merkeze hoş geldiniz. **tarih aralığı uygulama** sorguları arıyorsanız, **dosya uzantısı filtreleme Java** uygulamak ya da **karmaşık arama Java** çözümleri oluşturmak istiyorsanız, bu öğreticiler size adım adım rehberlik, gerçek dünya örnekleri ve çalıştırmaya hazır kod sunar. Bu kılavuzun sonunda, büyük belge koleksiyonlarıyla ölçeklenebilen güçlü arama deneyimleri tasarlamayı anlayacaksınız.
+
+## GroupDocs.Search Java ile arama dizini nasıl oluşturulur?
+Sağlam bir arama dizini oluşturmak, herhangi bir gelişmiş arama özelliğinin temelidir. Aşağıdaki öğreticilerde şunları nasıl yapacağınızı göreceksiniz:
+
+* Bir dizin kurun ve belgeleri verimli bir şekilde ekleyin.
+* Arama sonuçlarını zenginleştirmek için meta verileri ve öznitelikleri kullanın.
+* Sonuçları daraltmak için **belge filtreleme java** ve **dosya uzantısı filtreleme java** gibi filtreler uygulayın.
+* Birden fazla kriteri birleştiren **karmaşık arama java** sorgularını yürütün, **tarih aralığı uygulama** kısıtlamalarını da içerecek şekilde.
+
+## Mevcut Öğreticiler
+
+### [Java: Parçacık Tabanlı Belge Arama – GroupDocs.Search Kullanarak Kapsamlı Rehber](./groupdocs-search-java-chunk-based-search-tutorial/)
+GroupDocs.Search for Java ile verimli parçacık tabanlı belge aramaları nasıl uygulanır öğrenin. Verimliliği artırın ve büyük veri kümelerini sorunsuz bir şekilde yönetin.
+
+### [Java: Facetli ve Karmaşık Aramalar – Gelişmiş Özellikler İçin GroupDocs.Search'i Ustalıkla Kullanma](./faceted-complex-search-groupdocs-java/)
+GroupDocs.Search kullanarak Java uygulamalarında facetli ve karmaşık aramaları nasıl uygulayacağınızı öğrenin, arama işlevselliğini ve kullanıcı deneyimini artırın.
+
+### [GroupDocs.Search Java: Kapsamlı Dizinleme ve Raporlama Rehberi](./groupdocs-search-java-index-report-guide/)
+Java'da verimli belge dizinleme ve raporlama için GroupDocs.Search'i ustalaşın. Bu detaylı rehberle dizinler oluşturmayı, belgeler eklemeyi ve raporlar üretmeyi öğrenin.
+
+### [GroupDocs.Search ile Java'da Tarih Aralığı Aramalarını Ustalıkla Kullanma](./master-date-range-searches-groupdocs-java/)
+GroupDocs.Search Java için bir kod öğreticisi.
+
+### [GroupDocs.Search Java: Verimli Veri Getirimi İçin Gelişmiş Arama Özellikleri](./groupdocs-search-java-advanced-search-features/)
+GroupDocs.Search for Java'da hata yönetimi, çeşitli sorgu tipleri ve performans optimizasyonu dahil olmak üzere gelişmiş arama özelliklerini ustalaşmayı öğrenin.
+
+### [GroupDocs.Search Kullanarak Java Dosya Filtreleme: Adım Adım Rehber](./master-java-file-filtering-groupdocs-search/)
+GroupDocs.Search kullanarak Java'da dosyaları verimli bir şekilde yönetmeyi ve filtrelemeyi, dosya uzantısı, mantıksal operatörler ve daha fazlasını öğrenin.
+
+### [GroupDocs.Search for Java: Belge Dizinleme ve Arama İçin Tam Rehberiniz](./groupdocs-search-java-implementation-guide/)
+Bu kapsamlı rehberle Java'da GroupDocs.Search'i nasıl uygulayacağınızı öğrenin. Güçlü metin çıkarma, serileştirme, indeksleme ve arama özelliklerini keşfedin.
+
+## Ek Kaynaklar
+
+- [GroupDocs.Search for Java Belgeleri](https://docs.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java API Referansı](https://reference.groupdocs.com/search/java/)
+- [GroupDocs.Search for Java'ı İndir](https://releases.groupdocs.com/search/java/)
+- [GroupDocs.Search Forumu](https://forum.groupdocs.com/c/search)
+- [Ücretsiz Destek](https://forum.groupdocs.com/)
+- [Geçici Lisans](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Son Güncelleme:** 2025-12-16
+**Yazar:** GroupDocs
\ No newline at end of file
diff --git a/content/turkish/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/turkish/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
new file mode 100644
index 00000000..6c2ee1cf
--- /dev/null
+++ b/content/turkish/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -0,0 +1,254 @@
+---
+date: '2025-12-16'
+description: Java'da arama indeksi oluşturmayı ve GroupDocs.Search kullanarak katmanlı
+ ve karmaşık aramaları uygulamayı öğrenin, arama performansını ve kullanıcı deneyimini
+ artırın.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Java ile Arama Dizini Oluşturma – Facetli ve Karmaşık Aramalar
+type: docs
+url: /tr/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Java’da Arama Dizini Oluşturma – Faceted ve Karmaşık Aramalar
+
+Java’da güçlü bir **search experience** (arama deneyimi) uygulamak göz korkutucu olabilir, özellikle büyük belge koleksiyonlarını yöneten **create search index Java** projelerine ihtiyaç duyduğunuzda. Neyse ki, **GroupDocs.Search for Java** birkaç satır kodla faceted ve karmaşık sorgular oluşturmanıza olanak tanıyan zengin bir API sunar. Bu öğreticide kütüphaneyi nasıl kuracağınızı, **create a search index Java** (arama dizini oluşturma) işlemini, belgeleri eklemeyi ve hem basit faceted aramaları hem de sofistike çok‑kriterli sorguları nasıl çalıştıracağınızı keşfedeceksiniz.
+
+## Hızlı Yanıtlar
+- **Faceted arama nedir?** Önceden tanımlanmış kategorilere (ör. dosya türü, tarih) göre sonuçları filtrelemenin bir yolu.
+- **Java’da arama dizini nasıl oluşturulur?** Bir klasöre işaret eden bir `Index` nesnesi başlatın ve belgeleri ekleyin.
+- **Birden fazla kriteri birleştirebilir miyim?** Evet—nesne‑tabanlı sorgular veya metin sorgusunda Boolean operatörleri kullanın.
+- **Lisans gerekli mi?** Geliştirme için ücretsiz deneme çalışır; ticari lisans sınırlamaları kaldırır.
+- **Hangi IDE en iyisi?** Herhangi bir Java IDE (IntelliJ IDEA, Eclipse, NetBeans) sorunsuz çalışır.
+
+## “create search index java” nedir?
+Java’da bir arama dizini oluşturmak, belge meta verilerini ve içeriğini depolayan, kullanıcı sorgularına göre hızlı geri getirme sağlayan bir aranabilir veri yapısı inşa etmek anlamına gelir. GroupDocs.Search ile dizin diskte bulunur, artımlı olarak güncellenebilir ve faceting ve karmaşık Boolean mantığı gibi gelişmiş özellikleri destekler.
+
+## Faceted ve karmaşık sorgular için neden GroupDocs.Search kullanılmalı?
+- **Out‑of‑the‑box faceting** – dosya adı, boyut veya özel meta veri gibi alanlara göre filtreleme.
+- **Rich query language** – AND/OR/NOT operatörlerini kullanarak metin, ifade ve alan sorgularını karıştırma.
+- **Scalable performance** – milyonlarca belgeyi indekslerken arama gecikmesini düşük tutar.
+- **Pure Java** – yerel bağımlılık yoktur, JDK 8+ çalışan herhangi bir platformda çalışır.
+
+## Ön Koşullar
+Başlamadan önce aşağıdakilere sahip olduğunuzdan emin olun:
+
+- **JDK 8 veya daha yeni bir sürüm** IDE’nizde yüklü ve yapılandırılmış.
+- **Maven** (veya Gradle) bağımlılık yönetimi için.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Java OOP kavramları ve Maven proje yapısı hakkında temel bilgi.
+
+## GroupDocs.Search for Java Kurulumu
+
+### Maven Kurulumu
+`pom.xml` dosyanıza depo ve bağımlılığı ekleyin:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Doğrudan İndirme
+Alternatif olarak, resmi sürüm sayfasından en son JAR dosyasını indirin:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Lisans Edinimi
+Tam işlevselliği açmak için:
+
+1. **Free trial** – geliştirme ve test için mükemmeldir.
+2. **Temporary evaluation license** – deneme sınırlamalarını uzatır.
+3. **Commercial license** – üretim kullanımında tüm kısıtlamaları kaldırır.
+
+### Temel Başlatma ve Kurulum
+Aşağıdaki kod parçacığı, `Index` sınıfını örnekleyerek **create a search index Java** (arama dizini oluşturma) işlemini nasıl yapacağınızı gösterir:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Dizin hazır olduğunda, gerçek dünya faceted ve karmaşık sorgularına geçebiliriz.
+
+## create search index java – Basit Faceted Arama
+
+Faceted arama, son kullanıcıların önceden tanımlanmış kategorilerden (facets) değerler seçerek sonuçları daraltmasını sağlar. Aşağıda adım adım bir rehber bulunmaktadır.
+
+### Adım 1: Bir Dizin Oluşturun
+İlk olarak, `Index`i dizin dosyalarının saklanacağı bir klasöre yönlendirin.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Adım 2: Belgeleri Dizi̇ne Ekleyin
+GroupDocs.Search’e kaynak belgelerinizin nerede olduğunu söyleyin. Desteklenen tüm dosya türleri (PDF, DOCX, TXT, vb.) otomatik olarak indekslenecektir.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Adım 3: İçerik Alanında Metin Sorgusuyla Arama Yapın
+Hızlı bir metin sorgusu `content` alanına göre filtreler. `content: Pellentesque` sözdizimi, gövde metninde *Pellentesque* kelimesini içeren belgelerle sonuçları sınırlar.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Adım 4: Nesne Sorgusu Kullanarak Arama Yapın
+Nesne‑tabanlı sorgular size ayrıntılı kontrol sağlar. Burada bir kelime sorgusu oluşturup, bir alan sorgusuna sarar ve yürütürüz.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## create search index java – Karmaşık Sorgu Araması
+
+Karmaşık sorgular birden fazla alan, Boolean operatörleri ve ifade aramalarını birleştirir. Bu, e‑ticaret filtreleri veya hukuki belge araştırmaları gibi senaryolar için idealdir.
+
+### Adım 1: Karmaşık Sorgular İçin Bir Dizin Oluşturun
+Aynı klasör yapısını yeniden kullanın; dizini hem basit hem de karmaşık senaryolar arasında paylaşabilirsiniz.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Adım 2: Metin Sorgusuyla Arama Yapın
+Aşağıdaki sorgu, *lorem* **ve** *ipsum* adlı dosyaları **veya** iki tam ifadeden birini içeren içeriği arar.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Adım 3: Nesne Sorgusu ile Arama Yapın
+Nesne‑tabanlı yapı, metinsel sorguyu yansıtır ancak tip güvenliği ve IDE desteği sağlar.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Faceted ve Karmaşık Aramaların Pratik Uygulamaları
+
+| Senaryo | Faceting Nasıl Yardımcı Olur | Örnek Sorgu |
+|----------|-------------------|---------------|
+| **E‑ticaret kataloğu** | Kategori, fiyat, marka göre filtreleme | `category: Electronics AND price:[100 TO 500]` |
+| **Hukuki belge deposu** | Dava numarası, yargı bölgesi göre daraltma | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Araştırma arşivleri** | Yazar, yayın yılı, anahtar kelimeleri birleştirme | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Kurumsal intranet** | Dosya türü ve departmana göre arama | `filetype: pdf AND department: HR` |
+
+## Yaygın Tuzaklar ve Sorun Giderme
+- **Boş sonuçlar** – Belgelerin başarıyla eklendiğini doğrulayın (`index.getDocumentCount()` yardımcı olabilir).
+- **Eski dizin** – Dosyaları ekledikten veya sildikten sonra, dizinin senkronize kalması için `index.update()` çağırın.
+- **Yanlış alan adları** – Yazım hatalarını önlemek için `CommonFieldNames` sabitlerini (`Content`, `FileName`, vb.) kullanın.
+- **Performans darboğazları** – Büyük koleksiyonlar için `index.setCacheSize()` etkinleştirmeyi veya dizin klasörü için ayrı bir SSD kullanmayı düşünün.
+
+## Sıkça Sorulan Sorular
+
+**Q: GroupDocs.Search'ı Spring Boot ile kullanabilir miyim?**
+A: Kesinlikle. Maven bağımlılığını ekleyin, dizini bir Spring bean olarak yapılandırın ve gerektiği yerde enjekte edin.
+
+**Q: Kütüphane özel meta veri alanlarını destekliyor mu?**
+A: Evet – indeksleme sırasında kullanıcı tanımlı alanlar ekleyebilir ve ardından bunlar üzerinde faceting yapabilirsiniz.
+
+**Q: Dizin ne kadar büyüyebilir?**
+A: Dizin disk tabanlıdır ve milyonlarca belgeyi işleyebilir; yeterli depolama alanı sağladığınızdan ve önbellek ayarlarını izlediğinizden emin olun.
+
+**Q: Sonuçları alaka düzeyine göre sıralamanın bir yolu var mı?**
+A: GroupDocs.Search otomatik olarak eşleşmeleri puanlar; puanı `SearchResult.getDocument(i).getScore()` ile alabilirsiniz.
+
+**Q: Şifreli PDF'leri indekslersem ne olur?**
+A: Belgeyi eklerken şifreyi sağlayın: `index.add(filePath, password)`.
+
+## Sonuç
+
+Artık GroupDocs.Search ile **create a search index Java** (arama dizini oluşturma) konusunda rahat hissetmelisiniz, belgeleri ekleyebilir ve hem basit faceted sorgular hem de sofistike Boolean aramaları oluşturabilirsiniz. Bu yetenekler, e‑ticaret platformlarından kurumsal bilgi tabanlarına kadar geniş bir uygulama yelpazesinde hızlı, doğru ve kullanıcı dostu arama deneyimleri sunmanızı sağlar.
+
+Bir sonraki adıma hazır mısınız? **GroupDocs.Search**'in **highlighting**, **suggestions** ve **real‑time indexing** gibi gelişmiş özelliklerini keşfederek uygulamanızın arama gücünü daha da artırın.
+
+---
+
+**Son Güncelleme:** 2025-12-16
+**Test Edilen:** GroupDocs.Search 25.4 for Java
+**Yazar:** GroupDocs
\ No newline at end of file
diff --git a/content/turkish/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/turkish/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
new file mode 100644
index 00000000..5d19cf0c
--- /dev/null
+++ b/content/turkish/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
@@ -0,0 +1,248 @@
+---
+date: '2025-12-16'
+description: GroupDocs.Search for Java kullanarak tarih aralığı araması ve faceted
+ search gibi diğer gelişmiş arama özelliklerini, hata yönetimi ve performans optimizasyonu
+ dahil olmak üzere nasıl gerçekleştireceğinizi öğrenin.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Tarih Aralığı Araması ve Gelişmiş Özellikler'
+type: docs
+url: /tr/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# GroupDocs.Search Java'ı Ustalıkla Kullanma: Tarih Aralığı Araması ve Gelişmiş Özellikler
+
+Bugünün veri odaklı uygulamalarında **date range search**, belgeleri zaman dilimlerine göre filtrelemenizi sağlayan temel bir yetenektir ve alaka düzeyini ve hızı büyük ölçüde artırır. Uyumluluk portalı, e‑ticaret kataloğu veya içerik yönetim sistemi geliştiriyor olun, tarih aralığı aramasını diğer güçlü sorgu türleriyle birlikte ustalaşmak, çözümünüzü hem esnek hem de sağlam kılar. Bu kılavuz, hata yönetimini, tam sorgu türleri yelpazesini ve performans ipuçlarını, kopyalayıp yapıştırabileceğiniz gerçek Java kodlarıyla birlikte adım adım gösterir.
+
+## Hızlı Yanıtlar
+- **Tarih aralığı araması nedir?** Belirli bir başlangıç‑bitiş aralığı içinde yer alan tarihleri içeren belgeleri filtreleme.
+- **Hangi kütüphane bunu sağlar?** GroupDocs.Search for Java.
+- **Lisans gerekir mi?** Geliştirme için ücretsiz deneme çalışır; ticari kullanım için bir üretim lisansı gereklidir.
+- **Diğer sorgularla birleştirilebilir mi?** Evet—tarih aralıklarını boolean, faceted veya regex sorgularıyla karıştırabilirsiniz.
+- **Büyük veri setlerinde hızlı mı?** Doğru indekslendiğinde, aramalar milyonlarca kayıt üzerinde bile saniyenin altında sürede çalışır.
+
+## Tarih aralığı araması nedir?
+Date range search, “2023‑01‑01 ~~ 2023‑12‑31” gibi iki sınır arasında kalan tarihleri içeren belgeleri bulmanızı sağlar. Raporlar, denetim günlükleri ve zaman‑temelli filtrelemenin önemli olduğu her senaryo için vazgeçilmezdir.
+
+## Neden GroupDocs.Search for Java kullanmalı?
+GroupDocs.Search, basit, wildcard, faceted, numeric, date range, regex, boolean ve phrase gibi birçok sorgu türü için birleşik bir API sunar—bu sayede birden fazla kütüphane ile uğraşmadan gelişmiş arama deneyimleri oluşturabilirsiniz. Olay‑tabanlı hata yönetimi ise indeksleme hattınızı dayanıklı tutar.
+
+## Önkoşullar
+- **GroupDocs.Search Java library** (v25.4 veya daha yeni).
+- **Java Development Kit (JDK)** projenizle uyumlu.
+- Bağımlılık yönetimi için Maven (veya manuel indirme).
+
+### Gerekli Kütüphaneler ve Ortam Kurulumu
+`pom.xml` dosyanıza GroupDocs deposunu ve bağımlılığı ekleyin:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Alternatif Kurulum
+Doğrudan indirmeler için [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/) adresini ziyaret edin.
+
+### Lisanslama ve İlk Kurulum
+Ücretsiz deneme veya geçici bir lisansla başlayın:
+
+- Detaylar için [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) adresini ziyaret edin.
+
+Şimdi aranabilir verilerinizi tutacak indeks klasörünü oluşturalım.
+
+## GroupDocs.Search for Java'yı Kurma
+
+### Temel Başlatma
+Diskte bir klasöre işaret eden bir `Index` nesnesi oluşturun:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Artık tüm arama işlemlerine bir geçiş noktanız var.
+
+## Uygulama Kılavuzu
+
+### Özellik 1: İndekslemede Hata Yönetimi
+#### İndeksleme hatalarını nasıl yakalarım (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Önemi*: `ErrorOccurred` olayını dinleyerek sorunları kaydedebilir, başarısız dosyaları yeniden deneyebilir veya tüm süreci çökertmeden kullanıcıları uyarabilirsiniz.
+
+### Özellik 2: Basit Arama Sorgusu
+#### Basit arama nedir?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Sonuç*: **volutpat** terimini içeren her belgeyi döndürür.
+
+### Özellik 3: Wildcard Arama Sorgusu
+#### Wildcard arama nasıl çalışır?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Sonuç*: **affect** ve **effect** kelimelerini eşleştirir, `?` yer tutucusunun gücünü gösterir.
+
+### Özellik 4: Faceted Arama Sorgusu
+#### Faceted arama Java nasıl yapılır?
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Sonuç*: **Content** alanına sınırlama getirir; kategori veya yazar gibi meta verilerle filtreleme için idealdir.
+
+### Özellik 5: Sayısal Aralık Arama Sorgusu
+#### Sayısal aralıklar nasıl aranır?
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Sonuç*: Sayısal değerlerin 2000 ile 3000 arasında olduğu belgeleri getirir.
+
+### Özellik 6: Tarih Aralığı Arama Sorgusu
+#### Tarih aralığı araması nasıl yürütülür?
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Açıklama*: `SearchOptions` özelleştirilerek motorun **MM/DD/YYYY** formatındaki tarihleri tanıması sağlanır, ardından 1 Ocak 2000 ile 15 Haziran 2001 arasındaki tüm kayıtlar alınır.
+
+### Özellik 7: Düzenli İfade Arama Sorgusu
+#### Regex arama Java nasıl çalıştırılır?
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Sonuç*: Üç veya daha fazla aynı karakterden oluşan dizileri bulur (ör. “aaa”, “111”).
+
+### Özellik 8: Boolean Arama Sorgusu
+#### Boolean arama Java ile koşullar nasıl birleştirilir?
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Sonuç*: **justo** içeren belgeleri döndürür ancak aynı zamanda **3456** içerenleri hariç tutar.
+
+### Özellik 9: Karmaşık Boolean Arama Sorgusu
+#### Gelişmiş boolean sorguları nasıl hazırlanır?
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Sonuç*: “English” benzeri dosya adlarını (1‑3 karakter varyasyonuna izin vererek) **veya** hem **3456** hem **consequat** içeren içerikleri arar.
+
+### Özellik 10: Phrase Arama Sorgusu
+#### Tam ifadeler nasıl aranır?
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Sonuç*: **ipsum dolor sit amet** tam ifadesini içeren belgeleri getirir.
+
+## Pratik Uygulamalar
+1. **E‑commerce Platforms** – Faceted search Java’yı kullanarak ürünleri beden, renk ve marka göre filtreleyin.
+2. **Content Management Systems** – Boolean search Java’yı phrase search ile birleştirerek gelişmiş editöryal araçlar sağlayın.
+3. **Data Analysis Tools** – Tarih aralığı aramasını kullanarak zaman‑temelli raporlar ve panolar oluşturun.
+
+## Yaygın Sorunlar ve Çözümler
+- **Tarih aralığı aramasında sonuç yok** – Belgelerinizdeki tarih formatının eklediğiniz özel `DateFormat` ile eşleştiğinden emin olun.
+- **Regex sorguları çok fazla sonuç veriyor** – Deseni iyileştirin veya ek alan niteleyicileriyle arama kapsamını sınırlayın.
+- **İndeksleme hataları yakalanmıyor** – Olay işleyicisinin `index.add(...)` çağrısından **önce** ekli olduğundan emin olun.
+
+## Sıkça Sorulan Sorular
+
+**S: Tarih aralığı aramasını diğer sorgu türleriyle karıştırabilir miyim?**
+C: Kesinlikle. Tek bir sorgu dizesinde tarih aralığı koşulunu boolean operatörleri, faceted filtreler veya regex desenleriyle birleştirebilirsiniz.
+
+**S: Tarih formatlarını değiştirdikten sonra indeksi yeniden oluşturmalı mıyım?**
+C: Evet. İndeks tokenleştirilmiş terimleri saklar; sadece `SearchOptions` güncellemek mevcut veriyi yeniden tokenlemez. Formatları değiştirdikten sonra belgeleri yeniden indeksleyin.
+
+**S: GroupDocs.Search büyük indekslerle nasıl başa çıkar?**
+C: Artımlı indeksleme ve disk‑üzerinde depolama kullanır, böylece bellek tüketimini düşük tutarak milyonlarca belgeye ölçeklenebilir.
+
+**S: Wildcard karakter sayısında bir sınırlama var mı?**
+C: Wildcard’lar verimli işlenir, ancak çok sayıda ön ek wildcard (`*term`) performansı düşürebilir. Önek veya sonek wildcard’ları tercih edin.
+
+**S: Üretim ortamı için hangi lisans modeli önerilir?**
+C: GroupDocs’tan kalıcı veya abonelik lisansı, güncellemeler, destek ve deneme sınırlamaları olmadan dağıtım yapma imkanı sağlar.
+
+## Sonuç
+**date range search** ve GroupDocs.Search for Java’nın sunduğu tam gelişmiş sorgu türleri yelpazesini ustalaşarak son derece duyarlı, özellik‑zengin arama deneyimleri oluşturabilirsiniz. Sağlam hata yönetimi uygulayın, indeksinizi ince ayar yapın ve sorguları birleştirerek neredeyse her geri getirme senaryosunu karşılayın. Bugün denemeye başlayın ve uygulamanızın veri‑erişim yeteneklerini bir üst seviyeye taşıyın.
+
+---
+
+**Son Güncelleme:** 2025-12-16
+**Test Edilen Versiyon:** GroupDocs.Search 25.4 (Java)
+**Yazar:** GroupDocs
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diff --git a/content/vietnamese/_index.md b/content/vietnamese/_index.md
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--- /dev/null
+++ b/content/vietnamese/_index.md
@@ -0,0 +1,76 @@
+---
+additionalTitle: GroupDocs API References
+date: 2025-12-16
+description: Khám phá bộ sưu tập hướng dẫn GroupDocs.Search cho các nhà phát triển
+ .NET và Java. Thành thạo việc lập chỉ mục tài liệu, khả năng tìm kiếm và các tính
+ năng nâng cao một cách dễ dàng.
+is_root: true
+linktitle: GroupDocs.Search Tutorials
+title: Hướng dẫn GroupDocs.Search – Khai phá sức mạnh tìm kiếm tài liệu
+type: docs
+url: /vi/
+weight: 11
+---
+
+# Hướng dẫn GroupDocs.Search – Khai phá sức mạnh tìm kiếm tài liệu
+
+Chào mừng bạn đến với trung tâm **GroupDocs.Search tutorial**, điểm đến duy nhất của bạn để làm chủ việc tìm kiếm và lập chỉ mục tài liệu trên các nền tảng .NET và Java. Dù bạn đang xây dựng một công cụ nội bộ nhỏ hay một giải pháp doanh nghiệp quy mô lớn, những hướng dẫn từng bước này sẽ giúp bạn triển khai chức năng tìm kiếm nhanh chóng, chính xác và có khả năng mở rộng. Bạn sẽ học mọi thứ từ lập chỉ mục cơ bản đến xây dựng truy vấn phức tạp, đồng thời tận dụng toàn bộ sức mạnh của GroupDocs.Search.
+
+## Tại sao nên sử dụng Hướng dẫn GroupDocs.Search?
+
+Chuỗi hướng dẫn được thiết kế dựa trên các kịch bản thực tế, vì vậy bạn có thể nhanh chóng áp dụng những gì học được vào dự án của mình. Khi theo dõi các hướng dẫn này, bạn sẽ:
+
+- Có được hiểu biết vững chắc về các kỹ thuật **document indexing**.
+- Học cách tạo ra **search capabilities** hiệu quả để xử lý các bộ sưu tập tài liệu lớn.
+- Khám phá các tính năng nâng cao như fuzzy search, highlighting và distributed search networks.
+- Giảm thời gian phát triển với các hướng dẫn rõ ràng, dựa trên ví dụ cho cả môi trường .NET và Java.
+
+{{% alert color="primary" %}}
+Khám phá các khả năng tìm kiếm tài liệu mạnh mẽ trong .NET với các hướng dẫn GroupDocs.Search. Từ lập chỉ mục cơ bản đến các kỹ thuật tìm kiếm nâng cao, các hướng dẫn của chúng tôi cung cấp hướng dẫn toàn diện cho các nhà phát triển ở mọi cấp độ kỹ năng. Đắm mình vào các chủ đề như boolean search, fuzzy search, highlighting, quản lý từ điển, và các giải pháp tìm kiếm phân tán, khai thác toàn bộ tiềm năng của GroupDocs.Search cho .NET. Nâng cao chức năng tìm kiếm của ứng dụng và tối ưu hoá việc khám phá tài liệu với các hướng dẫn dễ theo dõi của chúng tôi.
+{{% /alert %}}
+
+## Các hướng dẫn GroupDocs.Search cho .NET
+
+### Các hướng dẫn tìm kiếm .NET thiết yếu
+
+- [Lập chỉ mục](./net/indexing/)
+- [Tìm kiếm](./net/searching/)
+- [Highlighting](./net/highlighting/)
+- [Dictionaries & Language Processing](./net/dictionaries-language-processing/)
+- [Document Management](./net/document-management/)
+- [OCR & Image Search](./net/ocr-image-search/)
+- [Advanced Features](./net/advanced-features/)
+- [Search Network](./net/search-network/)
+- [Performance Optimization](./net/performance-optimization/)
+- [Exception Handling & Logging](./net/exception-handling-logging/)
+- [Integration & Interoperability](./net/integration-interoperability/)
+- [Licensing & Configuration](./net/licensing-configuration/)
+- [Text Extraction & Processing](./net/text-extraction-processing/)
+- [Queries & Query Building](./net/queries-query-building/)
+
+{{% alert color="primary" %}}
+Khám phá các hướng dẫn toàn diện cho GroupDocs.Search trong Java. Từ các kỹ thuật lập chỉ mục cơ bản đến chức năng tìm kiếm nâng cao, các hướng dẫn từng bước của chúng tôi cung cấp cho các nhà phát triển Java kiến thức để triển khai các giải pháp tìm kiếm tài liệu mạnh mẽ. Học cách làm việc với nhiều định dạng tài liệu khác nhau bao gồm PDF, Word, Excel, bản trình chiếu và hơn thế nữa. Nắm vững các kỹ thuật tạo chỉ mục, thực hiện các loại tìm kiếm khác nhau, highlighting kết quả và tối ưu hoá hiệu suất để nâng cao các ứng dụng Java của bạn với khả năng tìm kiếm mạnh mẽ.
+{{% /alert %}}
+
+## Các hướng dẫn GroupDocs.Search cho Java
+
+### Các hướng dẫn tìm kiếm Java thiết yếu
+
+- [Bắt đầu](./java/getting-started/)
+- [Lập chỉ mục](./java/indexing/)
+- [Tìm kiếm](./java/searching/)
+- [Highlighting](./java/highlighting/)
+- [Dictionaries & Language Processing](./java/dictionaries-language-processing/)
+- [Document Management](./java/document-management/)
+- [OCR & Image Search](./java/ocr-image-search/)
+- [Advanced Features](./java/advanced-features/)
+- [Search Network](./java/search-network/)
+- [Performance Optimization](./java/performance-optimization/)
+- [Exception Handling & Logging](./java/exception-handling-logging/)
+- [Licensing & Configuration](./java/licensing-configuration/)
+- [Text Extraction & Processing](./java/text-extraction-processing/)
+
+---
+
+**Cập nhật lần cuối:** 2025-12-16
+**Tác giả:** GroupDocs
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diff --git a/content/vietnamese/java/advanced-features/_index.md b/content/vietnamese/java/advanced-features/_index.md
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+---
+date: 2025-12-16
+description: Tìm hiểu cách tạo chỉ mục tìm kiếm và triển khai phạm vi ngày, tìm kiếm
+ phân lớp và lọc tài liệu với các hướng dẫn GroupDocs.Search Java.
+title: 'Tạo chỉ mục tìm kiếm - Hướng dẫn Java GroupDocs.Search'
+type: docs
+url: /vi/java/advanced-features/
+weight: 8
+---
+
+# Tạo Chỉ Mục Tìm Kiếm: Hướng Dẫn GroupDocs.Search Java
+
+Chào mừng đến với trung tâm **tạo một chỉ mục tìm kiếm** và mở khóa các khả năng tìm kiếm nâng cao với GroupDocs.Search cho Java. Cho dù bạn đang muốn **triển khai khoảng thời gian** cho các truy vấn, áp dụng **lọc phần mở rộng tệp Java**, hoặc xây dựng các giải pháp **tìm kiếm phức tạp Java**, những hướng dẫn này cung cấp cho bạn hướng dẫn từng bước, ví dụ thực tế, và mã sẵn sàng chạy. Khi kết thúc hướng dẫn này, bạn sẽ hiểu cách thiết kế các trải nghiệm tìm kiếm mạnh mẽ có thể mở rộng với bộ sưu tập tài liệu lớn.
+
+## Cách tạo chỉ mục tìm kiếm với GroupDocs.Search Java?
+
+Xây dựng một chỉ mục tìm kiếm mạnh mẽ là nền tảng cho bất kỳ tính năng tìm kiếm tinh vi nào. Trong các hướng dẫn dưới đây, bạn sẽ thấy cách:
+
+* Thiết lập một chỉ mục và thêm tài liệu một cách hiệu quả.
+* Sử dụng siêu dữ liệu và thuộc tính để làm phong phú kết quả tìm kiếm.
+* Áp dụng các bộ lọc như **document filtering java** và **file extension filtering java** để thu hẹp kết quả.
+* Thực thi các truy vấn **complex search java** kết hợp nhiều tiêu chí, bao gồm các ràng buộc **implement date range**.
+
+## Các Hướng Dẫn Có Sẵn
+
+### [Chunk-Based Document Search in Java: A Comprehensive Guide Using GroupDocs.Search](./groupdocs-search-java-chunk-based-search-tutorial/)
+Tìm hiểu cách triển khai các tìm kiếm tài liệu dựa trên đoạn hiệu quả với GroupDocs.Search cho Java. Nâng cao năng suất và quản lý các bộ dữ liệu lớn một cách liền mạch.
+
+### [Faceted and Complex Searches in Java: Master GroupDocs.Search for Advanced Features](./faceted-complex-search-groupdocs-java/)
+Tìm hiểu cách triển khai tìm kiếm đa khía cạnh và phức tạp trong các ứng dụng Java bằng cách sử dụng GroupDocs.Search, nâng cao chức năng tìm kiếm và trải nghiệm người dùng.
+
+### [Implement GroupDocs.Search Java: Comprehensive Indexing and Reporting Guide](./groupdocs-search-java-index-report-guide/)
+Thành thạo GroupDocs.Search trong Java để lập chỉ mục tài liệu và báo cáo hiệu quả. Học cách tạo chỉ mục, thêm tài liệu và tạo báo cáo với hướng dẫn chi tiết này.
+
+### [Master Date Range Searches in Java with GroupDocs.Search](./master-date-range-searches-groupdocs-java/)
+Một hướng dẫn mã cho GroupDocs.Search Java
+
+### [Master GroupDocs.Search Java: Advanced Search Features for Efficient Data Retrieval](./groupdocs-search-java-advanced-search-features/)
+Học cách thành thạo các tính năng tìm kiếm nâng cao trong GroupDocs.Search cho Java, bao gồm xử lý lỗi, các loại truy vấn khác nhau và tối ưu hiệu năng.
+
+### [Master Java File Filtering Using GroupDocs.Search: A Step‑By‑Step Guide](./master-java-file-filtering-groupdocs-search/)
+Tìm hiểu cách quản lý và lọc tệp hiệu quả trong Java bằng GroupDocs.Search, bao gồm lọc phần mở rộng tệp, các toán tử logic và hơn thế nữa.
+
+### [Mastering GroupDocs.Search for Java: Your Complete Guide to Document Indexing and Search](./groupdocs-search-java-implementation-guide/)
+Tìm hiểu cách triển khai GroupDocs.Search trong Java với hướng dẫn toàn diện này. Khám phá khả năng trích xuất văn bản mạnh mẽ, tuần tự hoá, lập chỉ mục và các tính năng tìm kiếm.
+
+## Tài Nguyên Bổ Sung
+
+- [Tài liệu GroupDocs.Search cho Java](https://docs.groupdocs.com/search/java/)
+- [Tham chiếu API GroupDocs.Search cho Java](https://reference.groupdocs.com/search/java/)
+- [Tải xuống GroupDocs.Search cho Java](https://releases.groupdocs.com/search/java/)
+- [Diễn đàn GroupDocs.Search](https://forum.groupdocs.com/c/search)
+- [Hỗ trợ miễn phí](https://forum.groupdocs.com/)
+- [Giấy phép tạm thời](https://purchase.groupdocs.com/temporary-license/)
+
+---
+
+**Cập nhật lần cuối:** 2025-12-16
+**Tác giả:** GroupDocs
\ No newline at end of file
diff --git a/content/vietnamese/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md b/content/vietnamese/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
new file mode 100644
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--- /dev/null
+++ b/content/vietnamese/java/advanced-features/faceted-complex-search-groupdocs-java/_index.md
@@ -0,0 +1,257 @@
+---
+date: '2025-12-16'
+description: Tìm hiểu cách tạo chỉ mục tìm kiếm Java và triển khai các tìm kiếm phân
+ lớp và phức tạp bằng GroupDocs.Search, nâng cao hiệu suất tìm kiếm và trải nghiệm
+ người dùng.
+keywords:
+- faceted searches Java
+- complex search Java
+- GroupDocs.Search for Java
+title: Tạo Chỉ mục Tìm kiếm Java – Tìm kiếm Phân lớp và Phức tạp
+type: docs
+url: /vi/java/advanced-features/faceted-complex-search-groupdocs-java/
+weight: 1
+---
+
+# Tạo Chỉ mục Tìm kiếm Java – Tìm kiếm Phân loại & Phức tạp
+
+Triển khai một **trải nghiệm tìm kiếm** mạnh mẽ trong Java có thể cảm thấy áp lực, đặc biệt khi bạn cần **tạo chỉ mục tìm kiếm Java** cho các dự án xử lý bộ sưu tập tài liệu lớn. May mắn là **GroupDocs.Search for Java** cung cấp một API phong phú cho phép bạn xây dựng các truy vấn phân loại và phức tạp chỉ với vài dòng mã. Trong hướng dẫn này, bạn sẽ khám phá cách thiết lập thư viện, **tạo một chỉ mục tìm kiếm Java**, thêm tài liệu, và thực hiện cả các tìm kiếm phân loại đơn giản và các truy vấn đa tiêu chí tinh vi.
+
+## Câu trả lời nhanh
+- **What is a faceted search?** Cách lọc kết quả theo các danh mục đã định trước (ví dụ: loại tệp, ngày).
+- **How do I create a search index Java?** Khởi tạo một đối tượng `Index` trỏ tới thư mục và thêm tài liệu.
+- **Can I combine multiple criteria?** Có — sử dụng truy vấn dựa trên đối tượng hoặc các toán tử Boolean trong truy vấn văn bản.
+- **Do I need a license?** Bản dùng thử miễn phí hoạt động cho phát triển; giấy phép thương mại loại bỏ các giới hạn.
+- **Which IDE works best?** Bất kỳ IDE Java nào (IntelliJ IDEA, Eclipse, NetBeans) đều hoạt động tốt.
+
+## “tạo chỉ mục tìm kiếm java” là gì?
+Tạo một chỉ mục tìm kiếm trong Java có nghĩa là xây dựng một cấu trúc dữ liệu có thể tìm kiếm được, lưu trữ siêu dữ liệu và nội dung tài liệu, cho phép truy xuất nhanh dựa trên các truy vấn của người dùng. Với GroupDocs.Search, chỉ mục được lưu trên đĩa, có thể cập nhật theo từng phần và hỗ trợ các tính năng nâng cao như phân loại và logic Boolean phức tạp.
+
+## Tại sao nên sử dụng GroupDocs.Search cho các truy vấn phân loại và phức tạp?
+- **Out‑of‑the‑box faceting** – lọc theo các trường như tên tệp, kích thước hoặc siêu dữ liệu tùy chỉnh.
+- **Rich query language** – kết hợp truy vấn văn bản, cụm từ và trường bằng các toán tử AND/OR/NOT.
+- **Scalable performance** – chỉ mục hàng triệu tài liệu trong khi vẫn giữ độ trễ tìm kiếm thấp.
+- **Pure Java** – không phụ thuộc vào thư viện gốc, hoạt động trên bất kỳ nền tảng nào chạy JDK 8+.
+
+## Yêu cầu trước
+
+Trước khi bắt đầu, hãy chắc chắn rằng bạn đã có:
+
+- **JDK 8 or newer** được cài đặt và cấu hình trong IDE.
+- **Maven** (hoặc Gradle) để quản lý phụ thuộc.
+- **GroupDocs.Search for Java** ≥ 25.4.
+- Kiến thức cơ bản về các khái niệm OOP của Java và cấu trúc dự án Maven.
+
+## Cài đặt GroupDocs.Search cho Java
+
+### Cài đặt Maven
+Thêm repository và dependency vào file `pom.xml` của bạn:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Tải trực tiếp
+Ngoài ra, tải JAR mới nhất từ trang phát hành chính thức:
+[GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/)
+
+### Nhận giấy phép
+Để mở khóa đầy đủ chức năng:
+
+1. **Free trial** – hoàn hảo cho phát triển và thử nghiệm.
+2. **Temporary evaluation license** – mở rộng giới hạn bản dùng thử.
+3. **Commercial license** – loại bỏ mọi hạn chế cho môi trường sản xuất.
+
+### Khởi tạo và Cấu hình Cơ bản
+Đoạn mã sau cho thấy cách **tạo một chỉ mục tìm kiếm Java** bằng cách khởi tạo lớp `Index`:
+
+```java
+import com.groupdocs.search.Index;
+
+public class SearchSetup {
+ public static void main(String[] args) {
+ String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+
+ // Create an instance of Index – this creates the on‑disk index
+ Index index = new Index(indexFolder);
+
+ System.out.println("GroupDocs.Search initialized successfully!");
+ }
+}
+```
+
+Với chỉ mục đã sẵn sàng, chúng ta có thể chuyển sang các truy vấn phân loại và phức tạp trong thực tế.
+
+## Cách tạo chỉ mục tìm kiếm java – Tìm kiếm Phân loại Đơn giản
+
+Tìm kiếm phân loại cho phép người dùng cuối thu hẹp kết quả bằng cách chọn các giá trị từ các danh mục đã định trước (facets). Dưới đây là hướng dẫn từng bước.
+
+### Bước 1: Tạo một Chỉ mục
+Đầu tiên, trỏ `Index` tới một thư mục nơi các tệp chỉ mục sẽ được lưu.
+
+```java
+import com.groupdocs.search.Index;
+
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/SimpleFacetedSearch";
+Index index = new Index(indexFolder);
+```
+
+### Bước 2: Thêm Tài liệu vào Chỉ mục
+Cho GroupDocs.Search biết vị trí các tài liệu nguồn của bạn. Tất cả các loại tệp được hỗ trợ (PDF, DOCX, TXT, v.v.) sẽ được lập chỉ mục tự động.
+
+```java
+import com.groupdocs.search.Index;
+
+String documentsFolder = "YOUR_DOCUMENT_DIRECTORY";
+
+// Adding documents to the index
+index.add(documentsFolder);
+```
+
+### Bước 3: Thực hiện Tìm kiếm trong Trường Nội dung bằng Truy vấn Văn bản
+Một truy vấn văn bản nhanh lọc theo trường `content`. Cú pháp `content: Pellentesque` giới hạn kết quả chỉ ở các tài liệu chứa từ *Pellentesque* trong nội dung.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "content: Pellentesque";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+System.out.println("Documents found (query 1): " + result1.getDocumentCount());
+```
+
+### Bước 4: Thực hiện Tìm kiếm Bằng Truy vấn Đối tượng
+Các truy vấn dựa trên đối tượng cho phép kiểm soát chi tiết. Ở đây chúng ta tạo một truy vấn từ, bao bọc nó trong truy vấn trường, và thực thi.
+
+```java
+import com.groupdocs.search.SearchQuery;
+import com.groupdocs.search.options.CommonFieldNames;
+
+SearchQuery wordQuery = SearchQuery.createWordQuery("Pellentesque");
+SearchQuery fieldQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content, wordQuery);
+SearchResult result2 = index.search(fieldQuery);
+
+// Output search results
+System.out.println("Documents found (query 2): " + result2.getDocumentCount());
+```
+
+## Cách tạo chỉ mục tìm kiếm java – Tìm kiếm Truy vấn Phức tạp
+
+Các truy vấn phức tạp kết hợp nhiều trường, toán tử Boolean và tìm kiếm cụm từ. Điều này lý tưởng cho các kịch bản như bộ lọc thương mại điện tử hoặc nghiên cứu tài liệu pháp lý.
+
+### Bước 1: Tạo Chỉ mục cho Truy vấn Phức tạp
+Tái sử dụng cùng cấu trúc thư mục; bạn có thể chia sẻ chỉ mục cho cả hai kịch bản đơn giản và phức tạp.
+
+```java
+String indexFolder = "YOUR_OUTPUT_DIRECTORY/AdvancedUsage/Searching/FacetedSearch/ComplexQuery";
+Index index = new Index(indexFolder);
+index.add(documentsFolder);
+```
+
+### Bước 2: Thực hiện Tìm kiếm bằng Truy vấn Văn bản
+Truy vấn sau tìm các tệp có tên *lorem* **and** *ipsum* **or** nội dung chứa một trong hai cụm từ chính xác.
+
+```java
+import com.groupdocs.search.results.SearchResult;
+
+String query1 = "(filename: (lorem AND ipsum)) OR (content: (\"lectus eu aliquam\" OR \"dignissim turpis\"))";
+SearchResult result1 = index.search(query1);
+
+// Output search results
+class SearchResult {
+ public int getDocumentCount() {
+ // Implementation here
+ return 0; // Placeholder
+ }
+}
+System.out.println("Documents found (complex text query): " + result1.getDocumentCount());
+```
+
+### Bước 3: Thực hiện Tìm kiếm bằng Truy vấn Đối tượng
+Cấu trúc dựa trên đối tượng phản ánh truy vấn văn bản nhưng cung cấp tính an toàn kiểu và hỗ trợ IDE.
+
+```java
+import com.groupdocs.search.SearchQuery;
+
+SearchQuery word6Query = SearchQuery.createWordQuery("lorem");
+SearchQuery word7Query = SearchQuery.createWordQuery("ipsum");
+
+// Constructing AND, OR queries for filename field
+SearchQuery andQuery = SearchQuery.createAndQuery(word6Query, word7Query);
+SearchQuery filenameQuery = SearchQuery.createFieldQuery(CommonFieldNames.FileName, andQuery);
+
+// Content search using OR query with phrases
+SearchQuery phrase1Query = SearchQuery.createPhraseSearchQuery("lectus", "eu", "aliquam");
+SearchQuery phrase2Query = SearchQuery.createPhraseSearchQuery("dignissim", "turpis");
+
+SearchQuery contentQuery = SearchQuery.createFieldQuery(CommonFieldNames.Content,
+ SearchQuery.createOrQuery(phrase1Query, phrase2Query));
+
+// Final root query combining filename and content queries
+SearchQuery rootQuery = SearchQuery.createOrQuery(filenameQuery, contentQuery);
+SearchResult result2 = index.search(rootQuery);
+
+// Output search results
+System.out.println("Documents found (complex object query): " + result2.getDocumentCount());
+```
+
+## Ứng dụng Thực tế của Tìm kiếm Phân loại & Phức tạp
+
+| Scenario | How Faceting Helps | Example Query |
+|----------|-------------------|---------------|
+| **Danh mục thương mại điện tử** | Lọc theo danh mục, giá, thương hiệu | `category: Electronics AND price:[100 TO 500]` |
+| **Kho tài liệu pháp lý** | Thu hẹp theo số vụ, khu vực pháp lý | `caseNumber: 2023-045 AND jurisdiction: "California"` |
+| **Lưu trữ nghiên cứu** | Kết hợp tác giả, năm xuất bản, từ khóa | `(author: "Doe") AND (year: 2022) AND (keywords: "machine learning")` |
+| **Mạng nội bộ doanh nghiệp** | Tìm kiếm theo loại tệp và phòng ban | `filetype: pdf AND department: HR` |
+
+Những ví dụ này minh họa tại sao việc thành thạo các kỹ thuật **tạo chỉ mục tìm kiếm java** lại là yếu tố quyết định cho bất kỳ ứng dụng dữ liệu lớn nào.
+
+## Những Cạm Bẫy Thường Gặp & Khắc Phục Sự Cố
+- **Empty results** – Kiểm tra xem các tài liệu đã được thêm thành công chưa (`index.getDocumentCount()` có thể giúp).
+- **Stale index** – Sau khi thêm hoặc xóa tệp, gọi `index.update()` để đồng bộ chỉ mục.
+- **Incorrect field names** – Sử dụng hằng `CommonFieldNames` (`Content`, `FileName`, v.v.) để tránh lỗi chính tả.
+- **Performance bottlenecks** – Đối với bộ sưu tập lớn, cân nhắc bật `index.setCacheSize()` hoặc sử dụng SSD riêng cho thư mục chỉ mục.
+
+## Câu hỏi Thường gặp
+
+**Q: Can I use GroupDocs.Search with Spring Boot?**
+A: Chắc chắn. Chỉ cần thêm dependency Maven, cấu hình chỉ mục dưới dạng Spring bean, và tiêm nó vào nơi cần thiết.
+
+**Q: Does the library support custom metadata fields?**
+A: Có – bạn có thể thêm các trường do người dùng định nghĩa trong quá trình lập chỉ mục và sau đó thực hiện faceting trên chúng.
+
+**Q: How large can the index grow?**
+A: Chỉ mục dựa trên đĩa và có thể xử lý hàng triệu tài liệu; chỉ cần đảm bảo đủ dung lượng lưu trữ và giám sát cài đặt cache.
+
+**Q: Is there a way to rank results by relevance?**
+A: GroupDocs.Search tự động tính điểm cho các kết quả phù hợp; bạn có thể lấy điểm qua `SearchResult.getDocument(i).getScore()`.
+
+**Q: What happens if I index encrypted PDFs?**
+A: Cung cấp mật khẩu khi thêm tài liệu: `index.add(filePath, password)`.
+
+## Kết luận
+
+Bây giờ bạn đã có thể **tạo một chỉ mục tìm kiếm Java** với GroupDocs.Search, thêm tài liệu, và xây dựng cả các truy vấn phân loại đơn giản và các truy vấn Boolean tinh vi. Những khả năng này cho phép bạn cung cấp trải nghiệm tìm kiếm nhanh, chính xác và thân thiện với người dùng trên nhiều loại ứng dụng—from nền tảng thương mại điện tử đến các kho tri thức doanh nghiệp.
+
+Sẵn sàng cho bước tiếp theo? Khám phá các tính năng nâng cao của **GroupDocs.Search** như **highlighting**, **suggestions**, và **real‑time indexing** để tăng cường sức mạnh tìm kiếm cho ứng dụng của bạn.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 for Java
+**Author:** GroupDocs
\ No newline at end of file
diff --git a/content/vietnamese/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md b/content/vietnamese/java/advanced-features/groupdocs-search-java-advanced-search-features/_index.md
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@@ -0,0 +1,248 @@
+---
+date: '2025-12-16'
+description: Tìm hiểu cách thực hiện tìm kiếm theo khoảng ngày và các tính năng tìm
+ kiếm nâng cao khác như tìm kiếm phân lớp trong Java bằng GroupDocs.Search, bao gồm
+ xử lý lỗi và tối ưu hiệu suất.
+keywords:
+- GroupDocs.Search Java
+- advanced search features Java
+- Java indexing errors
+title: 'GroupDocs.Search Java - Tìm kiếm theo khoảng ngày & Các tính năng nâng cao'
+type: docs
+url: /vi/java/advanced-features/groupdocs-search-java-advanced-search-features/
+weight: 1
+---
+
+# Thành thạo GroupDocs.Search Java: Tìm kiếm theo khoảng ngày & Các tính năng nâng cao
+
+Trong các ứng dụng dựa trên dữ liệu ngày nay, **date range search** là một khả năng cốt lõi cho phép bạn lọc tài liệu theo khoảng thời gian, cải thiện đáng kể tính liên quan và tốc độ. Dù bạn đang xây dựng một cổng tuân thủ, một danh mục thương mại điện tử, hay một hệ thống quản lý nội dung, việc thành thạo date range search cùng các loại truy vấn mạnh mẽ khác sẽ làm cho giải pháp của bạn vừa linh hoạt vừa vững chắc. Hướng dẫn này sẽ đưa bạn qua việc xử lý lỗi, toàn bộ bộ loại truy vấn, và các mẹo hiệu năng, tất cả đều kèm mã Java thực tế mà bạn có thể sao chép‑dán.
+
+## Câu trả lời nhanh
+- **What is date range search?** Lọc tài liệu chứa các ngày nằm trong một khoảng thời gian bắt đầu‑đến‑kết thúc xác định.
+- **Which library provides it?** GroupDocs.Search for Java.
+- **Do I need a license?** Bản dùng thử miễn phí hoạt động cho phát triển; giấy phép sản xuất cần thiết cho việc sử dụng thương mại.
+- **Can I combine it with other queries?** Có — kết hợp khoảng ngày với các truy vấn boolean, faceted, hoặc regex.
+- **Is it fast for large datasets?** Khi được lập chỉ mục đúng cách, các tìm kiếm chạy trong thời gian dưới một giây ngay cả với hàng triệu bản ghi.
+
+## Date range search là gì?
+Date range search cho phép bạn tìm vị trí các tài liệu có chứa ngày nằm giữa hai ranh giới, chẳng hạn “2023‑01‑01 ~~ 2023‑12‑31”. Nó thiết yếu cho báo cáo, nhật ký kiểm toán, và bất kỳ kịch bản nào mà việc lọc dựa trên thời gian quan trọng.
+
+## Tại sao nên sử dụng GroupDocs.Search cho Java?
+GroupDocs.Search cung cấp một API thống nhất cho nhiều loại truy vấn—simple, wildcard, faceted, numeric, date range, regex, boolean, và phrase—giúp bạn xây dựng trải nghiệm tìm kiếm tinh vi mà không cần xoay sở với nhiều thư viện. Cơ chế xử lý lỗi dựa trên sự kiện cũng giúp pipeline lập chỉ mục của bạn luôn bền vững.
+
+## Yêu cầu trước
+- **GroupDocs.Search Java library** (v25.4 hoặc mới hơn).
+- **Java Development Kit (JDK)** tương thích với dự án của bạn.
+- Maven để quản lý phụ thuộc (hoặc tải xuống thủ công).
+
+### Thư viện và Cài đặt Môi trường cần thiết
+Add the GroupDocs repository and dependency to your `pom.xml`:
+
+```xml
+
+
+ repository.groupdocs.com
+ GroupDocs Repository
+ https://releases.groupdocs.com/search/java/
+
+
+
+
+
+ com.groupdocs
+ groupdocs-search
+ 25.4
+
+
+```
+
+### Cài đặt Thay thế
+Để tải trực tiếp, truy cập [GroupDocs.Search for Java releases](https://releases.groupdocs.com/search/java/).
+
+### Cấp phép và Cài đặt Ban đầu
+Bắt đầu với bản dùng thử miễn phí hoặc giấy phép tạm thời:
+
+- Truy cập [GroupDocs License Options](https://purchase.groupdocs.com/temporary-license/) để biết chi tiết.
+
+Bây giờ hãy tạo thư mục chỉ mục sẽ chứa dữ liệu có thể tìm kiếm của bạn.
+
+## Cài đặt GroupDocs.Search cho Java
+
+### Khởi tạo Cơ bản
+Đầu tiên, khởi tạo một đối tượng `Index` trỏ tới một thư mục trên đĩa:
+
+```java
+import com.groupdocs.search.*;
+
+// Initialize Index
+String indexFolder = "YOUR_DOCUMENT_DIRECTORY\\output\\BasicUsage\\BuildSearchQuery";
+Index index = new Index(indexFolder);
+```
+
+Bạn đã có một cổng vào tất cả các thao tác tìm kiếm.
+
+## Hướng dẫn Triển khai
+
+### Tính năng 1: Xử lý lỗi trong quá trình lập chỉ mục
+#### Cách bắt lỗi lập chỉ mục (Java)
+
+```java
+import com.groupdocs.search.events.*;
+
+index.getEvents().ErrorOccurred.add(new EventHandler() {
+ @Override
+ public void invoke(Object sender, IndexErrorEventArgs args) {
+ System.out.println(args.getMessage()); // Output the error message
+ }
+});
+
+// Add documents to the index
+index.add("YOUR_DOCUMENT_DIRECTORY");
+```
+
+*Tại sao nó quan trọng*: Bằng cách lắng nghe `ErrorOccurred`, bạn có thể ghi lại các vấn đề, thử lại các tệp thất bại, hoặc cảnh báo người dùng mà không làm sập toàn bộ quá trình.
+
+### Tính năng 2: Truy vấn Tìm kiếm Đơn giản
+#### Tìm kiếm đơn giản là gì?
+
+```java
+import com.groupdocs.search.*;
+
+String query = "volutpat";
+SearchResult result = index.search(query);
+```
+
+*Kết quả*: Trả về mọi tài liệu chứa từ **volutpat**.
+
+### Tính năng 3: Truy vấn Tìm kiếm Wildcard
+#### Wildcard search hoạt động như thế nào?
+
+```java
+String query = "?ffect";
+SearchResult result = index.search(query);
+```
+
+*Kết quả*: Khớp cả **affect** và **effect**, cho thấy sức mạnh của ký tự đại diện `?`.
+
+### Tính năng 4: Truy vấn Tìm kiếm Faceted
+#### Cách thực hiện faceted search trong Java
+
+```java
+String query = "Content: magna";
+SearchResult result = index.search(query);
+```
+
+*Kết quả*: Giới hạn tìm kiếm vào trường **Content**, lý tưởng để lọc theo siêu dữ liệu như danh mục hoặc tác giả.
+
+### Tính năng 5: Truy vấn Khoảng số
+#### Cách tìm kiếm khoảng số
+
+```java
+String query = "2000 ~~ 3000";
+SearchResult result = index.search(query);
+```
+
+*Kết quả*: Lấy các tài liệu có giá trị số nằm trong khoảng từ 2000 đến 3000.
+
+### Tính năng 6: Truy vấn Khoảng ngày
+#### Cách thực hiện date range search
+
+```java
+import com.groupdocs.search.options.*;
+import java.util.*;
+
+String query = "daterange(2000-01-01 ~~ 2001-06-15)";
+SearchOptions options = new SearchOptions();
+
+options.getDateFormats().clear();
+DateFormatElement[] elements = {
+ DateFormatElement.getMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getDayOfMonthTwoDigits(),
+ DateFormatElement.getDateSeparator(),
+ DateFormatElement.getYearFourDigits()
+};
+
+DateFormat dateFormat = new DateFormat(elements, "/");
+options.getDateFormats().addItem(dateFormat);
+
+SearchResult result = index.search(query, options);
+```
+
+*Giải thích*: Bằng cách tùy chỉnh `SearchOptions`, bạn chỉ cho engine nhận dạng ngày ở định dạng **MM/DD/YYYY**, sau đó lấy tất cả các bản ghi từ ngày 1 Tháng 1 2000 đến 15 Tháng 6 2001.
+
+### Tính năng 7: Truy vấn Tìm kiếm Biểu thức Chính quy
+#### Cách chạy regex search trong Java
+
+```java
+String query = "^(.)\\1{2,}";
+SearchResult result = index.search(query);
+```
+
+*Kết quả*: Tìm các chuỗi có ba ký tự hoặc hơn giống nhau (ví dụ, “aaa”, “111”).
+
+### Tính năng 8: Truy vấn Boolean
+#### Cách kết hợp các điều kiện với boolean search trong Java
+
+```java
+String query = "justo AND NOT 3456";
+SearchResult result = index.search(query);
+```
+
+*Kết quả*: Trả về các tài liệu chứa **justo** nhưng loại trừ bất kỳ tài liệu nào cũng chứa **3456**.
+
+### Tính năng 9: Truy vấn Boolean Phức hợp
+#### Cách xây dựng các truy vấn boolean nâng cao
+
+```java
+String query = "FileName: Engl?(1~3) OR Content: (3456 AND consequat)";
+SearchResult result = index.search(query);
+```
+
+*Kết quả*: Tìm các tên tệp tương tự “English” (cho phép biến thể 1‑3 ký tự) **hoặc** nội dung chứa cả **3456** và **consequat**.
+
+### Tính năng 10: Truy vấn Cụm từ
+#### Cách tìm kiếm cụm từ chính xác
+
+```java
+String query = "\"ipsum dolor sit amet\"";
+SearchResult result = index.search(query);
+```
+
+*Kết quả*: Chỉ trả về các tài liệu chứa cụm từ chính xác **ipsum dolor sit amet**.
+
+## Ứng dụng Thực tiễn
+1. **Nền tảng Thương mại điện tử** – Sử dụng faceted search Java để lọc sản phẩm theo kích thước, màu sắc và thương hiệu.
+2. **Hệ thống Quản lý Nội dung** – Kết hợp boolean search Java với phrase search để cung cấp các công cụ biên tập tinh vi.
+3. **Công cụ Phân tích Dữ liệu** – Tận dụng date range search để tạo báo cáo và bảng điều khiển dựa trên thời gian.
+
+## Các vấn đề thường gặp & Giải pháp
+- **Không có kết quả cho date range search** – Kiểm tra xem định dạng ngày trong tài liệu của bạn có khớp với `DateFormat` tùy chỉnh bạn đã thêm không.
+- **Các truy vấn regex trả về quá nhiều kết quả** – Tinh chỉnh mẫu hoặc giới hạn phạm vi tìm kiếm bằng các bộ lọc trường bổ sung.
+- **Lỗi lập chỉ mục không được bắt** – Đảm bảo trình xử lý sự kiện được gắn **trước** khi gọi `index.add(...)`.
+
+## Câu hỏi thường gặp
+
+**Q: Can I mix date range search with other query types?**
+A: Absolutely. You can combine a date range clause with boolean operators, faceted filters, or regex patterns in a single query string.
+
+**Q: Do I need to rebuild the index after changing date formats?**
+A: Yes. The index stores tokenized terms; updating `SearchOptions` alone won’t re‑tokenize existing data. Re‑index the documents after changing formats.
+
+**Q: How does GroupDocs.Search handle large indexes?**
+A: It uses incremental indexing and on‑disk storage, allowing you to scale to millions of documents while keeping memory usage low.
+
+**Q: Is there a limit to the number of wildcard characters?**
+A: Wildcards are processed efficiently, but using many leading wildcards (e.g., `*term`) can degrade performance. Prefer prefix or suffix wildcards.
+
+**Q: What licensing model is recommended for production?**
+A: A perpetual or subscription license from GroupDocs ensures you receive updates, support, and the ability to deploy without trial limitations.
+
+## Kết luận
+Bằng cách thành thạo **date range search** và toàn bộ bộ các loại truy vấn nâng cao do GroupDocs.Search cho Java cung cấp, bạn có thể xây dựng các trải nghiệm tìm kiếm phản hồi nhanh, tính năng phong phú. Triển khai xử lý lỗi mạnh mẽ, tinh chỉnh chỉ mục, và kết hợp các truy vấn để đáp ứng hầu hết mọi kịch bản truy xuất. Hãy bắt đầu thử nghiệm ngay hôm nay và nâng cao khả năng truy cập dữ liệu của ứng dụng của bạn.
+
+---
+
+**Last Updated:** 2025-12-16
+**Tested With:** GroupDocs.Search 25.4 (Java)
+**Author:** GroupDocs
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