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https://issues.apache.org/jira/browse/HIVE-16546?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15992718#comment-15992718
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Hive QA commented on HIVE-16546:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12865911/HIVE-16546.5.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 10632 tests
executed
*Failed tests:*
{noformat}
TestHs2Hooks - did not produce a TEST-*.xml file (likely timed out)
(batchId=214)
org.apache.hadoop.hive.cli.TestAccumuloCliDriver.testCliDriver[accumulo_index]
(batchId=225)
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/4991/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/4991/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-4991/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
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: 2 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12865911 - PreCommit-HIVE-Build
> LLAP: Fail map join tasks if hash table memory exceeds threshold
> ----------------------------------------------------------------
>
> Key: HIVE-16546
> URL: https://issues.apache.org/jira/browse/HIVE-16546
> Project: Hive
> Issue Type: Bug
> Components: llap
> Affects Versions: 3.0.0
> Reporter: Prasanth Jayachandran
> Assignee: Prasanth Jayachandran
> Attachments: HIVE-16546.1.patch, HIVE-16546.2.patch,
> HIVE-16546.3.patch, HIVE-16546.4.patch, HIVE-16546.5.patch,
> HIVE-16546.WIP.patch
>
>
> When map join task is running in llap, it can potentially use lot more memory
> than its limit which could be memory per executor or no conditional task
> size. If it uses more memory, it can adversely affect other query performance
> or it can even bring down the daemon. In such cases, it is better to fail the
> query than to bring down the daemon.
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