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https://issues.apache.org/jira/browse/HIVE-8638?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14237079#comment-14237079
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Hive QA commented on HIVE-8638:
-------------------------------
{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/12685589/HIVE-8638.4-spark.patch
{color:red}ERROR:{color} -1 due to 5 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_vector_cast_constant
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_auto_sortmerge_join_11
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_multi_insert_lateral_view
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_optimize_nullscan
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/489/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/489/console
Test logs:
http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-489/
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: 12685589 - PreCommit-HIVE-SPARK-Build
> Implement bucket map join optimization [Spark Branch]
> -----------------------------------------------------
>
> Key: HIVE-8638
> URL: https://issues.apache.org/jira/browse/HIVE-8638
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Na Yang
> Assignee: Jimmy Xiang
> Fix For: spark-branch
>
> Attachments: HIVE-8638.4-spark.patch
>
>
> In the hive-on-mr implementation, bucket map join optimization has to depend
> on the map join hint. While in the hive-on-tez implementation, a join can be
> automatically converted to bucket map join if certain conditions are met such
> as:
> 1. the optimization flag hive.convert.join.bucket.mapjoin.tez is ON
> 2. all join tables are buckets and each small table's bucket number can be
> divided by big table's bucket number
> 3. bucket columns == join columns
> In the hive-on-spark implementation, it is ideal to have the bucket map join
> auto-convertion support. when all the required criteria are met, a join can
> be automatically converted to a bucket map join.
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