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From "Hive QA (JIRA)" <>
Subject [jira] [Commented] (HIVE-8638) Implement bucket map join optimization [Spark Branch]
Date Tue, 09 Dec 2014 01:04:12 GMT


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:

{color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 7235 tests executed
*Failed tests:*

Test results:
Console output:
Test logs:

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

This message is automatically generated.

ATTACHMENT ID: 12685877 - PreCommit-HIVE-SPARK-Build

> Implement bucket map join optimization [Spark Branch]
> -----------------------------------------------------
>                 Key: HIVE-8638
>                 URL:
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Na Yang
>            Assignee: Jimmy Xiang
>             Fix For: spark-branch
>         Attachments: HIVE-8638.4-spark.patch, HIVE-8638.5-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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