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

["Tathagata Das (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-22238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Tathagata Das resolved SPARK-22238.
-----------------------------------
       Resolution: Fixed
    Fix Version/s: 3.0.0

Issue resolved by pull request 19467
[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
>             Fix For: 3.0.0
>
>
> 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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