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From "Hive QA (JIRA)" <>
Subject [jira] [Commented] (HIVE-8913) Make SparkMapJoinResolver handle runtime skew join [Spark Branch]
Date Wed, 10 Dec 2014 14:04:12 GMT


Hive QA commented on HIVE-8913:

{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), 7248 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: 12686264 - PreCommit-HIVE-SPARK-Build

> Make SparkMapJoinResolver handle runtime skew join [Spark Branch]
> -----------------------------------------------------------------
>                 Key: HIVE-8913
>                 URL:
>             Project: Hive
>          Issue Type: Improvement
>          Components: Spark
>            Reporter: Rui Li
>            Assignee: Rui Li
>         Attachments: HIVE-8913.1-spark.patch, HIVE-8913.2-spark.patch
> Sub-task of HIVE-8406.
> Now we have {{SparkMapJoinResolver}} in place. But at the moment, it doesn't handle the
map join task created by upstream SkewJoinResolver, i.e. those wrapped in a ConditionalTask.
We have to implement this part for runtime skew join to work on spark. To do so, we can borrow
logic from {{MapJoinResolver}}.

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