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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/10/10 22:09:00 UTC

[jira] [Commented] (SPARK-22238) EnsureStatefulOpPartitioning shouldn't ask for the child RDD before planning is completed

    [ https://issues.apache.org/jira/browse/SPARK-22238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16199451#comment-16199451 ] 

Apache Spark commented on SPARK-22238:
--------------------------------------

User 'brkyvz' has created a pull request for this issue:
https://github.com/apache/spark/pull/19467

> EnsureStatefulOpPartitioning shouldn't ask for the child RDD before planning is completed
> -----------------------------------------------------------------------------------------
>
>                 Key: SPARK-22238
>                 URL: https://issues.apache.org/jira/browse/SPARK-22238
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 2.3.0
>            Reporter: Burak Yavuz
>            Assignee: Burak Yavuz
>
> In EnsureStatefulOpPartitioning, we check that the inputRDD to a SparkPlan has the expected partitioning for Streaming Stateful Operators. The problem is that we are not allowed to access this information during planning.
> The reason we added that check was because CoalesceExec could actually create RDDs with 0 partitions. We should fix it such that when CoalesceExec says that there is a SinglePartition, there is in fact an inputRDD of 1 partition instead of 0 partitions.



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