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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/30 04:48:05 UTC

[jira] [Assigned] (SPARK-8735) Expose metrics for runtime memory usage

     [ https://issues.apache.org/jira/browse/SPARK-8735?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-8735:
-----------------------------------

    Assignee: Apache Spark  (was: Andrew Or)

> Expose metrics for runtime memory usage
> ---------------------------------------
>
>                 Key: SPARK-8735
>                 URL: https://issues.apache.org/jira/browse/SPARK-8735
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>            Reporter: Andrew Or
>            Assignee: Apache Spark
>
> Spark has many uses of memory: caching, shuffle, metadata etc. It is useful for users to be able to drill down on the internal memory allocation for memory-intensive operations like aggregations and joins. The goal is to do this for both tungsten and non-tungsten applications.



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