Congratulations to all who contributed to release 2.3.0! A few jiras still need to be documented in the wiki:
1. HIVE-14233 <https://issues.apache.org/jira/browse/HIVE-14233> Improve vectorization for ACID by eliminating row-by-row stitching (Saket Saurabh) 2. HIVE-15207 <https://issues.apache.org/jira/browse/HIVE-15207> Implement a capability to detect incorrect sequence numbers (Aihua Xu) 3. HIVE-15434 <https://issues.apache.org/jira/browse/HIVE-15434> Add UDF to allow interrogation of uniontype values (David Maughan) 4. HIVE-15805 <https://issues.apache.org/jira/browse/HIVE-15805> Some minor improvement on the validation tool (Aihua Xu) 5. HIVE-15880 <https://issues.apache.org/jira/browse/HIVE-15880> Allow insert overwrite and truncate table query to use auto.purge table property (Vihang Karajgaonkar) 6. HIVE-16072 <https://issues.apache.org/jira/browse/HIVE-16072> LLAP: Add some additional jvm metrics for hadoop-metrics2 (Prasanth Jayachandran) 7. HIVE-16260 <https://issues.apache.org/jira/browse/HIVE-16260> Remove parallel edges of semijoin with map joins. (Deepak Jaiswal) 8. HIVE-16274 <https://issues.apache.org/jira/browse/HIVE-16274> Support tuning of NDV of columns using lower/upper bounds (Pengcheng Xiong) 9. HIVE-16321 <https://issues.apache.org/jira/browse/HIVE-16321> Possible deadlock in metastore with Acid enabled (Eugene Koifman) In honor of the Tour de France, everyone who documents one of these jiras within one week qualifies as a member of the peloton <https://en.wikipedia.org/wiki/Race_stage#Bicycle_race_stage>. Don't get left behind! Here's how to get permission to edit the wiki <https://cwiki.apache.org/confluence/display/Hive/AboutThisWiki#AboutThisWiki-Howtogetpermissiontoedit> . -- Lefty On Tue, Jul 18, 2017 at 8:49 PM, Pengcheng Xiong <pxi...@apache.org> wrote: > The Apache Hive team is proud to announce the release of Apache Hive > version 2.3.0. > > The Apache Hive (TM) data warehouse software facilitates querying and > managing large datasets residing in distributed storage. Built on top > of Apache Hadoop (TM), it provides, among others: > > * Tools to enable easy data extract/transform/load (ETL) > > * A mechanism to impose structure on a variety of data formats > > * Access to files stored either directly in Apache HDFS (TM) or in other > data storage systems such as Apache HBase (TM) > > * Query execution via Apache Hadoop MapReduce and Apache Tez frameworks. > > For Hive release details and downloads, please > visit:https://hive.apache.org/downloads.html > > Hive 2.3.0 Release Notes are available here: > > > https://issues.apache.org/jira/secure/ReleaseNote.jspa? > version=12340269&styleName=Text&projectId=12310843 > > We would like to thank the many contributors who made this release > possible. > > Regards, > > The Apache Hive Team >
