CDS Powered by Apache Spark New Features and Changes

This is purely a maintenance release. See CDS Powered By Apache Spark Fixed Issues for the list of fixed issues.

This is purely a maintenance release. See CDS Powered By Apache Spark Fixed Issues for the list of fixed issues.

This is purely a maintenance release. See Spark 2 Fixed Issues for the list of fixed issues.

• Support for CDH 5.12 and associated features.

• Support for using Spark 2 jobs to read and write data on the Azure Data Lake Store (ADLS) cloud service.

• CDS 2.2 and higher require JDK 8 only. If you are using CD 2.2 or higher, you must remove JDK 7 from all cluster and gateway hosts to ensure proper operation.

This is purely a maintenance release. See Spark 2 Fixed Issues for the list of fixed issues.

This is purely a maintenance release. See Spark 2 Fixed Issues for the list of fixed issues.

This is purely a maintenance release. See Spark 2 Fixed Issues for the list of fixed issues.

• New direct connector to Kafka that uses the new Kafka consumer API. See Spark 2 Kafka Integration for details.

• A Hive compatibility issue in CDS 2.0 Release 1 affects CDH 5.10.1 and higher, CDH 5.9.2 and higher, CDH 5.8.5 and higher, and CDH 5.7.6 and higher. If you are using one of these CDH versions, you must upgrade to the CDS 2.0 Release 2 or higher parcel, to avoid Spark 2 job failures when using Hive functionality.

• New SparkSession object replaces HiveContext and SQLContext.
  • Most of the Hive logic has been reimplemented in Spark.
  • Some Hive dependencies still exist:
    • SerDe support.
    • UDF support.
• Added support for the unified Dataset API.
• Faster Spark SQL achieved with whole stage code generation.
• More complete SQL syntax now supports subqueries.
• Adds the spark-csv library.
• Backport of SPARK-5847. The root for metrics is now the app name (spark.app.name) instead of the app ID. The app ID requires investigation to match to the app name, and changes when streaming jobs are stopped and restarted.