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https://issues.apache.org/jira/browse/HIVE-20260?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16565809#comment-16565809
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Hive QA commented on HIVE-20260:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12933944/HIVE-20260.01.patch

{color:green}SUCCESS:{color} +1 due to 4 test(s) being added or modified.

{color:red}ERROR:{color} -1 due to 1 failed/errored test(s), 14839 tests 
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.metastore.TestMarkPartitionRemote.testMarkingPartitionSet
 (batchId=228)
{noformat}

Test results: 
https://builds.apache.org/job/PreCommit-HIVE-Build/12984/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/12984/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-12984/

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: 1 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12933944 - PreCommit-HIVE-Build

> NDV of a column shouldn't be scaled when row count is changed by filter on 
> another column
> -----------------------------------------------------------------------------------------
>
>                 Key: HIVE-20260
>                 URL: https://issues.apache.org/jira/browse/HIVE-20260
>             Project: Hive
>          Issue Type: Improvement
>          Components: Statistics
>            Reporter: Ashutosh Chauhan
>            Assignee: Zoltan Haindrich
>            Priority: Major
>         Attachments: HIVE-20260.01.patch, HIVE-20260.01wip01.patch, 
> HIVE-20260.01wip02.patch, HIVE-20260.01wip03.patch
>
>
> HIVE-17465 introduced progressive scaling of rowcounts in presence of 
> multiple filters. HIVE-19500 improved on that by also scaling col stats (NDV) 
> in such scenario. However, it should pay attention to column used in filter 
> expression and not scale for all filters. eg.,
> consider filter a = 1 and b = 2 ndv of column b should not be scaled down by 
> row count changes caused by a = 1
> Other way to say this that ndv of a particular column should be updated at 
> the end of computation of row count for that operator.
> Here are the possible cases where our estimates can be accurate (or close to)
> {code}
> case 1 - (d_year = 2001 and d_moy=1)
> case 2 - (d_year = 2001 and d_year IN (2001, 2002))
> case 3 - (d_year = 2001 and d_moy = 1 and d_dom = 1)
> case 4 - (d_date IN ('1999-01-02', '1999-01-02'))
> case 5 - (d_date = '1999-01-01')
> {code}



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