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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/08/04 22:16:00 UTC

[jira] [Assigned] (SPARK-39970) Introduce ThrottledLogger to prevent log message flooding caused by network issues

     [ https://issues.apache.org/jira/browse/SPARK-39970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-39970:
------------------------------------

    Assignee:     (was: Apache Spark)

> Introduce ThrottledLogger to prevent log message flooding caused by network issues
> ----------------------------------------------------------------------------------
>
>                 Key: SPARK-39970
>                 URL: https://issues.apache.org/jira/browse/SPARK-39970
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 3.4.0
>            Reporter: Kai-Hsun Chen
>            Priority: Major
>
> When transient network error occurs, Spark may write out a large volume of error logs related to the network errors. The excessive logging can create further problems downstream, e.g. blow up our log storage. If we can combine / batch the network errors when they come in a burst, we only print out periodic summaries of errors that are happening repeatedly in a short time window.



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