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https://issues.apache.org/jira/browse/HIVE-17043?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16648679#comment-16648679
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Hive QA commented on HIVE-17043:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12943059/HIVE-17043.15.patch
{color:red}ERROR:{color} -1 due to build exiting with an error
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/14397/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/14397/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-14397/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Tests exited with: Exception: Patch URL
https://issues.apache.org/jira/secure/attachment/12943059/HIVE-17043.15.patch
was found in seen patch url's cache and a test was probably run already on it.
Aborting...
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12943059 - PreCommit-HIVE-Build
> Remove non unique columns from group by keys if not referenced later
> --------------------------------------------------------------------
>
> Key: HIVE-17043
> URL: https://issues.apache.org/jira/browse/HIVE-17043
> Project: Hive
> Issue Type: Sub-task
> Components: Logical Optimizer
> Affects Versions: 3.0.0
> Reporter: Ashutosh Chauhan
> Assignee: Vineet Garg
> Priority: Major
> Attachments: HIVE-17043.1.patch, HIVE-17043.10.patch,
> HIVE-17043.11.patch, HIVE-17043.12.patch, HIVE-17043.13.patch,
> HIVE-17043.14.patch, HIVE-17043.15.patch, HIVE-17043.2.patch,
> HIVE-17043.3.patch, HIVE-17043.4.patch, HIVE-17043.5.patch,
> HIVE-17043.6.patch, HIVE-17043.7.patch, HIVE-17043.8.patch, HIVE-17043.9.patch
>
>
> Group by keys may be a mix of unique (or primary) keys and regular columns.
> In such cases presence of regular column won't alter cardinality of groups.
> So, if regular columns are not referenced later, they can be dropped from
> group by keys. Depending on operator tree may result in those columns not
> being read at all from disk in best case. In worst case, we will avoid
> shuffling and sorting regular columns from mapper to reducer, which still
> could be substantial CPU and network savings.
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