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https://issues.apache.org/jira/browse/HIVE-8054?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14134394#comment-14134394
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Hive QA commented on HIVE-8054:
-------------------------------
{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/12668813/HIVE-8054.2-spark.patch
{color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 6343 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_fs_default_name2
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_load_dyn_part13
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_optimize_nullscan
org.apache.hive.service.TestHS2ImpersonationWithRemoteMS.testImpersonation
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/129/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/129/console
Test logs:
http://ec2-54-176-176-199.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-129/
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: 5 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12668813
> Disable hive.optimize.union.remove when hive.execution.engine=spark [Spark
> Branch]
> ----------------------------------------------------------------------------------
>
> Key: HIVE-8054
> URL: https://issues.apache.org/jira/browse/HIVE-8054
> Project: Hive
> Issue Type: Improvement
> Components: Spark
> Reporter: Xuefu Zhang
> Assignee: Na Yang
> Labels: Spark-M1
> Attachments: HIVE-8054-spark.patch, HIVE-8054.2-spark.patch
>
>
> Option hive.optimize.union.remove introduced in HIVE-3276 removes union
> operators from the operator graph in certain cases as an optimization reduce
> the number of MR jobs. While making sense in MR, this optimization is
> actually harmful to an execution engine such as Spark, which natives supports
> union without requiring additional jobs. This is because removing union
> operator creates disjointed operator graphs, each graph generating a job, and
> thus this optimization requires more jobs to run the query. Not to mention
> the additional complexity handling linked FS descriptors.
> I propose that we disable such optimization when the execution engine is
> Spark.
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