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Hudson commented on HIVE-2284: ------------------------------ Integrated in Hive-trunk-h0.21 #829 (See [https://builds.apache.org/job/Hive-trunk-h0.21/829/]) HIVE-2284 Bucketized map join should allow join key as a superset of bucketized columns (Ning Zhang via namit) namit : http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1147364 Files : * /hive/trunk/contrib/build.xml * /hive/trunk/eclipse-templates/.classpath * /hive/trunk/ql/src/test/results/clientpositive/smb_mapjoin_10.q.out * /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/optimizer/BucketMapJoinOptimizer.java * /hive/trunk/ql/src/test/queries/clientpositive/smb_mapjoin_10.q > bucketized map join should allow join key as a superset of bucketized columns > ----------------------------------------------------------------------------- > > Key: HIVE-2284 > URL: https://issues.apache.org/jira/browse/HIVE-2284 > Project: Hive > Issue Type: Improvement > Reporter: Ning Zhang > Assignee: Ning Zhang > Fix For: 0.8.0 > > Attachments: HIVE-2284.patch > > > Currently bucketized mapjoin only allow the join keys being exactly the same > as bucketized columns. This is too restrictive and is missing some > optimization opportunities. > If tables S and T are both bucketized on column A with the same # of buckets, > and the query is something like: > <code> > SELECT /*+ MAPJOIN (S) */ ... > FROM S join T > ON (S.A = T.A AND S.B = T.B) > <code> > We should allow bucketized mapjoin since it's straightforward that bucket 1 > from S join with bucket 2 from T on such join condition must be empty. -- This message is automatically generated by JIRA. For more information on JIRA, see: http://www.atlassian.com/software/jira