22
33[ ![ Kotlin Stable] ( https://kotl.in/badges/stable.svg )] ( https://kotlinlang.org/docs/components-stability.html )
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77
88Your next API to work with [ Apache Spark] ( https://spark.apache.org/ ) .
@@ -38,8 +38,14 @@ We have opened a Spark Project Improvement Proposal: [Kotlin support for Apache
3838
3939| Apache Spark | Scala | Kotlin for Apache Spark |
4040| :------------:| :-----:| :-----------------------------------:|
41+ | 3.3.1 | 2.13 | kotlin-spark-api_3.3.1_2.13: VERSION |
42+ | | 2.12 | kotlin-spark-api_3.3.1_2.12: VERSION |
4143| 3.3.0 | 2.13 | kotlin-spark-api_3.3.0_2.13: VERSION |
4244| | 2.12 | kotlin-spark-api_3.3.0_2.12: VERSION |
45+ | 3.2.3 | 2.13 | kotlin-spark-api_3.2.3_2.13: VERSION |
46+ | | 2.12 | kotlin-spark-api_3.2.3_2.12: VERSION |
47+ | 3.2.2 | 2.13 | kotlin-spark-api_3.2.2_2.13: VERSION |
48+ | | 2.12 | kotlin-spark-api_3.2.2_2.12: VERSION |
4349| 3.2.1 | 2.13 | kotlin-spark-api_3.2.1_2.13: VERSION |
4450| | 2.12 | kotlin-spark-api_3.2.1_2.12: VERSION |
4551| 3.2.0 | 2.13 | kotlin-spark-api_3.2.0_2.13: VERSION |
@@ -67,7 +73,7 @@ The Kotlin for Spark artifacts adhere to the following convention:
6773The only exception to this is ` scala-tuples-in-kotlin_[Scala core version]:[Kotlin for Apache Spark API version] ` , which is
6874independent of Spark.
6975
70- [ ![ Maven Central] ( https://img.shields.io/maven-central/v/org.jetbrains.kotlinx.spark/kotlin-spark-api_3.3.0_2 .13.svg?label=Maven%20Central )] ( https://search.maven.org/search?q=g:"org.jetbrains.kotlinx.spark"%20AND%20a:"kotlin-spark-api_3.3.0_2 .13" )
76+ [ ![ Maven Central] ( https://img.shields.io/maven-central/v/org.jetbrains.kotlinx.spark/kotlin-spark-api_3.3.1_2 .13.svg?label=Maven%20Central )] ( https://search.maven.org/search?q=g:"org.jetbrains.kotlinx.spark"%20AND%20a:"kotlin-spark-api_3.3.1_2 .13" )
7177
7278## How to configure Kotlin for Apache Spark in your project
7379
@@ -78,7 +84,7 @@ Here's an example `pom.xml`:
7884``` xml
7985<dependency >
8086 <groupId >org.jetbrains.kotlinx.spark</groupId >
81- <artifactId >kotlin-spark-api_3.3.0_2 .13</artifactId >
87+ <artifactId >kotlin-spark-api_3.3.1_2 .13</artifactId >
8288 <version >${kotlin-spark-api.version}</version >
8389</dependency >
8490<dependency >
@@ -111,7 +117,7 @@ To it, simply add
111117to the top of your notebook. This will get the latest version of the API, together with the latest version of Spark.
112118To define a certain version of Spark or the API itself, simply add it like this:
113119``` jupyterpython
114- %use spark(spark=3.3.0 , scala=2.13, v=1.2.0 )
120+ %use spark(spark=3.3.1 , scala=2.13, v=1.2.2 )
115121```
116122
117123Inside the notebook a Spark session will be initiated automatically. This can be accessed via the ` spark ` value.
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