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https://issues.apache.org/jira/browse/HIVE-16166?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15933491#comment-15933491
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Hive QA commented on HIVE-16166:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12859609/HIVE-16166.02.patch
{color:red}ERROR:{color} -1 due to no test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 10480 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[comments] (batchId=35)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vector_if_expr]
(batchId=141)
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/4250/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/4250/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-4250/
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: 12859609 - PreCommit-HIVE-Build
> HS2 may still waste up to 15% of memory on duplicate strings
> ------------------------------------------------------------
>
> Key: HIVE-16166
> URL: https://issues.apache.org/jira/browse/HIVE-16166
> Project: Hive
> Issue Type: Improvement
> Reporter: Misha Dmitriev
> Assignee: Misha Dmitriev
> Attachments: ch_2_excerpt.txt, HIVE-16166.01.patch,
> HIVE-16166.02.patch
>
>
> A heap dump obtained from one of our users shows that 15% of memory is wasted
> on duplicate strings, despite the recent optimizations that I made. The
> problematic strings just come from different sources this time. See the
> excerpt from the jxray (www.jxray.com) analysis attached.
> Adding String.intern() calls in the appropriate places reduces the overhead
> of duplicate strings with this workload to ~6%. The remaining duplicates come
> mostly from JDK internal and MapReduce data structures, and thus are more
> difficult to fix.
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