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From "Hive QA (Jira)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-22510) Support decimal64 operations for column operands with different scales
Date Thu, 12 Dec 2019 08:29:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-22510?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16994376#comment-16994376
] 

Hive QA commented on HIVE-22510:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12988580/HIVE-22510.13.patch

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

{color:green}SUCCESS:{color} +1 due to 17770 tests passed

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/19887/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/19887/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-19887/

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
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12988580 - PreCommit-HIVE-Build

> Support decimal64 operations for column operands with different scales
> ----------------------------------------------------------------------
>
>                 Key: HIVE-22510
>                 URL: https://issues.apache.org/jira/browse/HIVE-22510
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Ramesh Kumar Thangarajan
>            Assignee: Ramesh Kumar Thangarajan
>            Priority: Major
>         Attachments: HIVE-22510.11.patch, HIVE-22510.13.patch, HIVE-22510.2.patch, HIVE-22510.3.patch,
HIVE-22510.4.patch, HIVE-22510.5.patch, HIVE-22510.7.patch, HIVE-22510.9.patch
>
>
> Right now, if the operands on the decimal64 operations are columns with different scales,
then we do not use the decimal64 vectorized version and fall back to HiveDecimal vectorized
version of the operator. In this Jira, we will check if we can use decimal64 vectorized version,
even if the scales are different.



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