The Apache Phoenix team is pleased to announce the immediate availability of the 4.10.0 release. Apache Phoenix enables SQL-based OLTP and operational analytics for Hadoop using Apache HBase as its backing store and providing integration with other projects in the ecosystem such as Spark, Hive, Pig, Flume, and MapReduce. The 4.x releases are compatible with HBase 0.98/1.1/1.2.
Highlights of the release include: * Reduce on disk footprint through column encoding and optimized storage format for write-once data [1] * Support Apache Spark 2.0 in Phoenix/Spark integration [2] * Consume Apache Kafka messages through Phoenix [3] * Improve UPSERT SELECT performance by distributing execution across cluster [4] * Improve Hive integration [5] * 40+ bug fixes [6] Source and binary downloads are available here [7]. Thanks, The Apache Phoenix Team [1] https://blogs.apache.org/phoenix/entry/column-mapping-and-immutable-data [2] https://phoenix.apache.org/phoenix_spark.html [3] https://phoenix.apache.org/kafka.html [4] https://issues.apache.org/jira/browse/PHOENIX-3271 [5] https://issues.apache.org/jira/browse/PHOENIX-3346 [6] https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12315120&version=12338126 [7] http://phoenix.apache.org/download.html
