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https://issues.apache.org/jira/browse/HIVE-22510?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16979935#comment-16979935
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Hive QA commented on HIVE-22510:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12986443/HIVE-22510.5.patch
{color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 17719 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[metadata_only_queries_with_filters]
(batchId=77)
org.apache.hadoop.hive.schq.TestScheduledQueryIntegration.testScheduledQueryExecutionImpersonation
(batchId=279)
{noformat}
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/19541/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/19541/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-19541/
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: 2 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12986443 - 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-22510.2.patch, HIVE-22510.3.patch,
> HIVE-22510.4.patch, HIVE-22510.5.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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