I just migrated a large production cluster from 4.7 (Hbase 1.1.2, Hadoop 2.7) to the 4.10 (HBase 1.2.5, Hadoop 2.8.0). The process was very smooth and we have seen a significant improvement in performance.
Thanks to the Apache Phoenix team for the hard work they have put in towards this release. Alok a...@cloudability.com On Thu, Mar 23, 2017 at 5:19 PM, James Taylor <jamestay...@apache.org> wrote: > 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 >
