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https://issues.apache.org/jira/browse/HIVE-6459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13917186#comment-13917186
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Hive QA commented on HIVE-6459:
-------------------------------
{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/12631824/HIVE-6459.4.patch
{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 5186 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_auto_sortmerge_join_16
org.apache.hadoop.hive.cli.TestNegativeMinimrCliDriver.testNegativeCliDriver_mapreduce_stack_trace_hadoop20
{noformat}
Test results:
http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/1570/testReport
Console output:
http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/1570/console
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: 12631824
> Change the precison/scale for intermediate sum result in the avg() udf
> -----------------------------------------------------------------------
>
> Key: HIVE-6459
> URL: https://issues.apache.org/jira/browse/HIVE-6459
> Project: Hive
> Issue Type: Improvement
> Components: UDF
> Affects Versions: 0.13.0
> Reporter: Xuefu Zhang
> Assignee: Xuefu Zhang
> Attachments: HIVE-6459.1.patch, HIVE-6459.2.patch, HIVE-6459.3.patch,
> HIVE-6459.4.patch, HIVE-6459.patch
>
>
> The avg() udf, when applied to a decimal column, selects the precision/scale
> of the intermediate sum field as (p+4, s+4), which is the same for the
> precision/scale of the avg() result. However, the additional scale increase
> is unnecessary, and the problem of data overflow may occur. The requested
> change is that for the intermediate sum result, the precsion/scale is set to
> (p+10, s), which is consistent to sum() udf. The avg() result still keeps its
> precision/scale.
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