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Hive QA commented on HIVE-6430: ------------------------------- {color:red}Overall{color}: -1 at least one tests failed Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12644187/HIVE-6430.13.patch {color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 5439 tests executed *Failed tests:* {noformat} org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_stats_partscan_1_23 org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_root_dir_external_table org.apache.hive.service.cli.thrift.TestThriftBinaryCLIService.org.apache.hive.service.cli.thrift.TestThriftBinaryCLIService {noformat} Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-Build/175/testReport Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-Build/175/console Messages: {noformat} Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase Tests exited with: TestsFailedException: 3 tests failed {noformat} This message is automatically generated. ATTACHMENT ID: 12644187 > MapJoin hash table has large memory overhead > -------------------------------------------- > > Key: HIVE-6430 > URL: https://issues.apache.org/jira/browse/HIVE-6430 > Project: Hive > Issue Type: Improvement > Reporter: Sergey Shelukhin > Assignee: Sergey Shelukhin > Attachments: HIVE-6430.01.patch, HIVE-6430.02.patch, > HIVE-6430.03.patch, HIVE-6430.04.patch, HIVE-6430.05.patch, > HIVE-6430.06.patch, HIVE-6430.07.patch, HIVE-6430.08.patch, > HIVE-6430.09.patch, HIVE-6430.10.patch, HIVE-6430.11.patch, > HIVE-6430.12.patch, HIVE-6430.12.patch, HIVE-6430.13.patch, HIVE-6430.patch > > > Right now, in some queries, I see that storing e.g. 4 ints (2 for key and 2 > for row) can take several hundred bytes, which is ridiculous. I am reducing > the size of MJKey and MJRowContainer in other jiras, but in general we don't > need to have java hash table there. We can either use primitive-friendly > hashtable like the one from HPPC (Apache-licenced), or some variation, to map > primitive keys to single row storage structure without an object per row > (similar to vectorization). -- This message was sent by Atlassian JIRA (v6.2#6252)