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https://issues.apache.org/jira/browse/HIVE-9097?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14248217#comment-14248217
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Hive QA commented on HIVE-9097:
-------------------------------
{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/12687476/HIVE-9097.1-spark.patch
{color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 7235 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_optimize_nullscan
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_vector_cast_constant
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/554/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/554/console
Test logs:
http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-554/
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: 3 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12687476 - PreCommit-HIVE-SPARK-Build
> Support runtime skew join for more queries [Spark Branch]
> ---------------------------------------------------------
>
> Key: HIVE-9097
> URL: https://issues.apache.org/jira/browse/HIVE-9097
> Project: Hive
> Issue Type: Improvement
> Reporter: Rui Li
> Assignee: Rui Li
> Attachments: HIVE-9097.1-spark.patch
>
>
> After HIVE-8913, runtime skew join is enabled for spark. But currently the
> optimization only supports the simplest case where join is the leaf
> ReduceWork in a work graph. This is because the results from the original
> join and the conditional map join have to be unioned to feed to downstream
> works, which can be a little tricky for spark.
> This JIRA is to research and find a way to relax the above restriction. A
> possible solution is to break the original task into two tasks on the join
> work, and insert the conditional task in between.
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