You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Imran Rashid (JIRA)" <ji...@apache.org> on 2017/05/30 19:03:05 UTC
[jira] [Resolved] (SPARK-20333) Fix HashPartitioner in
DAGSchedulerSuite
[ https://issues.apache.org/jira/browse/SPARK-20333?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Imran Rashid resolved SPARK-20333.
----------------------------------
Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 17634
[https://github.com/apache/spark/pull/17634]
> Fix HashPartitioner in DAGSchedulerSuite
> ----------------------------------------
>
> Key: SPARK-20333
> URL: https://issues.apache.org/jira/browse/SPARK-20333
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.1.0
> Reporter: jin xing
> Priority: Minor
> Fix For: 2.3.0
>
>
> In test
> "don't submit stage until its dependencies map outputs are registered (SPARK-5259)"
> "run trivial shuffle with out-of-band executor failure and retry"
> "reduce tasks should be placed locally with map output"
> HashPartitioner should be compatible with num of child RDD's partitions.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org