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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2019/07/24 05:50:01 UTC
[jira] [Closed] (SPARK-21157) Report Total Memory Used by Spark
Executors
[ https://issues.apache.org/jira/browse/SPARK-21157?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun closed SPARK-21157.
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> Report Total Memory Used by Spark Executors
> -------------------------------------------
>
> Key: SPARK-21157
> URL: https://issues.apache.org/jira/browse/SPARK-21157
> Project: Spark
> Issue Type: Improvement
> Components: Input/Output
> Affects Versions: 2.1.1
> Reporter: Jose Soltren
> Priority: Major
> Fix For: 3.0.0
>
> Attachments: TotalMemoryReportingDesignDoc.pdf
>
>
> Building on some of the core ideas of SPARK-9103, this JIRA proposes tracking total memory used by Spark executors, and a means of broadcasting, aggregating, and reporting memory usage data in the Spark UI.
> Here, "total memory used" refers to memory usage that is visible outside of Spark, to an external observer such as YARN, Mesos, or the operating system. The goal of this enhancement is to give Spark users more information about how Spark clusters are using memory. Total memory will include non-Spark JVM memory and all off-heap memory.
> Please consult the attached design document for further details.
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