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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/08/13 08:07:00 UTC

[jira] [Assigned] (SPARK-36473) Add non-unified memory metrics

     [ https://issues.apache.org/jira/browse/SPARK-36473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-36473:
------------------------------------

    Assignee: Apache Spark

> Add non-unified memory metrics
> ------------------------------
>
>                 Key: SPARK-36473
>                 URL: https://issues.apache.org/jira/browse/SPARK-36473
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 3.2.0
>            Reporter: angerszhu
>            Assignee: Apache Spark
>            Priority: Major
>
> Spark split memory to managed memory (storage + execution) and un-managed memory. And use `spark.memory.fraction` to adjust the fraction of this to memory.
> But we have no metrics to know how much we used for unmanaged memory and we have no data evidence to optimize configuration of `spark.memory.fraction`. Maybe we should add it



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