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https://issues.apache.org/jira/browse/HIVE-7679?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14093643#comment-14093643
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Hive QA commented on HIVE-7679:
-------------------------------
{color:red}Overall{color}: -1 at least one tests failed
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12661057/HIVE-7679.2.patch
{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 5889 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_union20
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_dynpart_sort_opt_vectorization
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/259/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/259/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-259/
Messages:
{noformat}
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: 12661057
> JOIN operator should update the column stats when number of rows changes
> ------------------------------------------------------------------------
>
> Key: HIVE-7679
> URL: https://issues.apache.org/jira/browse/HIVE-7679
> Project: Hive
> Issue Type: Sub-task
> Components: Query Processor, Statistics
> Affects Versions: 0.14.0
> Reporter: Prasanth J
> Assignee: Prasanth J
> Priority: Minor
> Fix For: 0.13.0
>
> Attachments: HIVE-7679.1.patch, HIVE-7679.2.patch
>
>
> JOIN operator does not update the column stats when the number of rows
> changes. All other operators scales up/down the column statistics when the
> number of rows changes. Same should be done for JOIN operator as well.
> Because of this dataSize might become negative as numNulls can get bigger
> than numRows (if scaling down of column stats is not done).
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