[jira] [Commented] (SPARK-17019) Expose off-heap memory usage in various places

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-17019?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15418305#comment-15418305 ] 

Apache Spark commented on SPARK-17019:
--------------------------------------

User 'jerryshao' has created a pull request for this issue:
https://github.com/apache/spark/pull/14617

> Expose off-heap memory usage in various places
> ----------------------------------------------
>
>                 Key: SPARK-17019
>                 URL: https://issues.apache.org/jira/browse/SPARK-17019
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.0.0
>            Reporter: Saisai Shao
>            Priority: Minor
>
> With SPARK-13992, Spark supports persisting data into off-heap memory, but the usage of off-heap is not exposed currently, it is not so convenient for user to monitor and profile, so here propose to expose off-heap memory as well as on-heap memory usage in various places:
> 1. Spark UI's executor page will display both on-heap and off-heap memory usage.
> 2. REST request returns both on-heap and off-heap memory.
> 3. Also these two memory usage can be obtained programmatically from SparkListener.



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