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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/03/11 00:04:04 UTC

[jira] [Commented] (SPARK-19913) Log warning rather than throw AnalysisException when output is partitioned although format is memory, console or foreach

    [ https://issues.apache.org/jira/browse/SPARK-19913?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15905904#comment-15905904 ] 

Apache Spark commented on SPARK-19913:
--------------------------------------

User 'sarutak' has created a pull request for this issue:
https://github.com/apache/spark/pull/17252

> Log warning rather than throw AnalysisException when output is partitioned although format is memory, console or foreach
> ------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-19913
>                 URL: https://issues.apache.org/jira/browse/SPARK-19913
>             Project: Spark
>          Issue Type: Improvement
>          Components: Structured Streaming
>    Affects Versions: 2.2.0
>            Reporter: Kousuke Saruta
>            Priority: Minor
>
> When batches are executed with memory, console or foreach format, `assertNotPartitioned` will check whether output is not partitioned and throw AnalysisException in case it is.
> But I wonder it's better to log warning rather than throw the exception because partitioning does not affect output for those formats but also does not bring any negative impacts.
> Also, this assertion is not applied when the format is `console`. I think in this case too, we should assert that .
> By fixing them, we can easily switch the format to memory or console for debug purposes.



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