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Hive QA commented on HIVE-19824: -------------------------------- Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12927449/HIVE-19824.02.patch {color:green}SUCCESS:{color} +1 due to 6 test(s) being added or modified. {color:green}SUCCESS:{color} +1 due to 14521 tests passed Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/11750/testReport Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/11750/console Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-11750/ Messages: {noformat} Executing org.apache.hive.ptest.execution.TestCheckPhase Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.YetusPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase {noformat} This message is automatically generated. ATTACHMENT ID: 12927449 - PreCommit-HIVE-Build > Improve online datasize estimations for MapJoins > ------------------------------------------------ > > Key: HIVE-19824 > URL: https://issues.apache.org/jira/browse/HIVE-19824 > Project: Hive > Issue Type: Improvement > Reporter: Zoltan Haindrich > Assignee: Zoltan Haindrich > Priority: Major > Attachments: HIVE-19824.01.patch, HIVE-19824.01wip01.patch, > HIVE-19824.01wip01.patch, HIVE-19824.02.patch > > > Statistics.datasize() only accounts for "real" data size; but for example > handling 1M rows might introduce some datastructure overhead...if the "real" > data is small - even this overhead might become the real memory usage > for 6.5M rows of (int,int) the estimation is 52MB > in reality this eats up ~260MB from which 210MB is used to service the > hashmap functionality to that many rows. -- This message was sent by Atlassian JIRA (v7.6.3#76005)