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https://issues.apache.org/jira/browse/SPARK-8735?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen resolved SPARK-8735.
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Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 7770
[https://github.com/apache/spark/pull/7770]
> 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, SQL
> Reporter: Andrew Or
> Assignee: Andrew Or
> Priority: Blocker
> Fix For: 1.5.0
>
>
> 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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