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Posted to issues@spark.apache.org by "Marcelo Vanzin (JIRA)" <ji...@apache.org> on 2017/06/21 01:22:00 UTC
[jira] [Commented] (SPARK-21157) Report Total Memory Used by Spark
Executors
[ https://issues.apache.org/jira/browse/SPARK-21157?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16056779#comment-16056779 ]
Marcelo Vanzin commented on SPARK-21157:
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I'm pretty confused by the description of flights. How are they presented to the user? I see nothing in the API that lets me get information about a specific flight, or nothing in the mock UI that seems to show how different stage boundaries affect the metrics, so it's unclear in the document how flights would be used, or how they would affect the information that is shown.
The whole section seems to indicate that you would have some API for stage-specific memory usage, or some extra information about how stages affect memory usage in the executors, but I see nothing like that being explained. Instead, I see a description of flights and the rest of the document pretty much ignores them.
> 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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