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https://issues.apache.org/jira/browse/HIVE-19824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16509344#comment-16509344
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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/12927334/HIVE-19824.01.patch
{color:green}SUCCESS:{color} +1 due to 6 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 4 failed/errored test(s), 14521 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[mapjoin_mapjoin]
(batchId=52)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[bucket_map_join_tez2]
(batchId=112)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[mapjoin_mapjoin]
(batchId=130)
org.apache.hadoop.hive.ql.stats.TestStatsUpdaterThread.testQueueingWithThreads
(batchId=277)
{noformat}
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/11725/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/11725/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-11725/
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
Tests exited with: TestsFailedException: 4 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12927334 - 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
>
>
> 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.
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