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From "Jose Soltren (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-21157) Report Total Memory Used by Spark Executors
Date Tue, 20 Jun 2017 23:12:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-21157?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Jose Soltren updated SPARK-21157:
---------------------------------
    Attachment: TotalMemoryReportingDesignDoc.pdf

> 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
>         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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