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Posted to issues@spark.apache.org by "Jungtaek Lim (Jira)" <ji...@apache.org> on 2022/04/08 04:09:00 UTC

[jira] [Resolved] (SPARK-38809) Implement option to skip null values in symmetric hash impl of stream-stream joins

     [ https://issues.apache.org/jira/browse/SPARK-38809?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jungtaek Lim resolved SPARK-38809.
----------------------------------
    Fix Version/s: 3.3.0
                   3.2.2
       Resolution: Fixed

Issue resolved by pull request 36090
[https://github.com/apache/spark/pull/36090]

> Implement option to skip null values in symmetric hash impl of stream-stream joins
> ----------------------------------------------------------------------------------
>
>                 Key: SPARK-38809
>                 URL: https://issues.apache.org/jira/browse/SPARK-38809
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 3.2.1
>            Reporter: Anish Shrigondekar
>            Assignee: Anish Shrigondekar
>            Priority: Major
>             Fix For: 3.3.0, 3.2.2
>
>
> Implement option to skip null values in symmetric hash impl of stream-stream joins
>  * In the symmetric has join state manager, we can receive entries with null values for a key and that caused the `removeByValue` and get iterators to fail and run into the NullPointerException.
>  * This is possible if the state recovered is written from a old spark version or its corrupted on disk. Since we don't have a utility to query this state, we would like to provide a conf option to skip nulls for the symmetric hash impl in stream stream joins.
>  



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