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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-8638) Implement bucket map join optimization [Spark Branch]
Date Thu, 20 Nov 2014 22:36:33 GMT

    [ https://issues.apache.org/jira/browse/HIVE-8638?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14220143#comment-14220143
] 

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/12682742/HIVE-8638.1-spark.patch

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 7181 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
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/399/testReport
Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/399/console
Test logs: http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-399/

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: 12682742 - 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-8638.1-spark.patch, HIVE-8638.2-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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