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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 05:35:34 UTC

[jira] [Updated] (SPARK-6415) Spark Streaming fail-fast: Stop scheduling jobs when a batch fails, and kills the app

     [ https://issues.apache.org/jira/browse/SPARK-6415?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-6415:
--------------------------------
    Labels: bulk-closed  (was: )

> Spark Streaming fail-fast: Stop scheduling jobs when a batch fails, and kills the app
> -------------------------------------------------------------------------------------
>
>                 Key: SPARK-6415
>                 URL: https://issues.apache.org/jira/browse/SPARK-6415
>             Project: Spark
>          Issue Type: Improvement
>          Components: DStreams
>            Reporter: Hari Shreedharan
>            Priority: Major
>              Labels: bulk-closed
>
> Of course, this would have to be done as a configurable param, but such a fail-fast is useful else it is painful to figure out what is happening when there are cascading failures. In some cases, the SparkContext shuts down and streaming keeps scheduling jobs 



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