Library to Tool

Author: Nikolai Kolesnikov

README.md

@@ -1,15 +1,15 @@
 # Exporting Tool for Amazon Keyspaces
-The exporting tool (the tool) offloads Amazon Keyspaces table to HDFS/FS
+The exporting tool offloads the Amazon Keyspaces table to HDFS/FS
 
 # Build this project
-To build and use this library execute the following mvn command and place on the classpath of your application. 
+To build and use this library, execute the following mvn command. 
 ```
 mvn install package
 ```
 
 # Quick start
-Before running the tool, check the source table’s the capacity mode. The table should be provisioned with at least 3,000 RCUs, 
-or be configured for on-demand mode. We recommend setting the page size for the driver in the application.conf file to be 2,500.
+Before running the tool, verify the capacity mode of the source table. The table should be provisioned with at least 3,000 RCUs, 
+or be configured for on-demand mode. The recommendation is to set the page size for the driver in the application.conf file to 2,500.
 Run the tool in the terminal with the following command:
 
 `java -cp "AmazonKeyspacesExportTool-1.0-SNAPSHOT-fat.jar" com.amazon.aws.keyspaces.Runner HDFS_FOLDER SOURCE_QUERY [--recover]`
@@ -24,10 +24,10 @@ If you need to re-start the process, you can use the optional recover option to
 
 RECOVER OPTION – you can use the `--recover` option if the tool failed with 
 `Cassandra timeout during read query at consistency LOCAL_QUORUM (2 responses were required but only 0 replica responded)`. 
-The failed state will be persisted into state.ser file and renamed after it is processed.
+The failed state will be saved in a state.ser file and renamed after it is processed.
 
 # Validation
-You can validate parquet files on HDFS/FS by using Apache Spark (spark-shell). 
+You can validate the parquet files on HDFS/FS by using Apache Spark (spark-shell). 
 For example, 
 ```
     val parquetFileDF = spark.read.parquet("file:///keyspace-name/table-name")