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Posted to issues@spark.apache.org by "Marcelo Masiero Vanzin (Jira)" <ji...@apache.org> on 2019/11/25 18:05:00 UTC

[jira] [Assigned] (SPARK-26260) Task Summary Metrics for Stage Page: Efficient implementation for SHS when using disk store.

     [ https://issues.apache.org/jira/browse/SPARK-26260?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Marcelo Masiero Vanzin reassigned SPARK-26260:
----------------------------------------------

    Assignee: shahid

> Task Summary Metrics for Stage Page: Efficient implementation for SHS when using disk store.
> --------------------------------------------------------------------------------------------
>
>                 Key: SPARK-26260
>                 URL: https://issues.apache.org/jira/browse/SPARK-26260
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 3.0.0
>            Reporter: shahid
>            Assignee: shahid
>            Priority: Major
>
> Currently, tasks summary metrics is calculated based on all the tasks, instead of successful tasks. 
> After the JIRA, https://issues.apache.org/jira/browse/SPARK-26119, when using InMemory store, it find task summary metrics for all the successful tasks metrics. But we need to find an efficient implementation for disk store case for SHS. The main bottle neck for disk store is deserialization time overhead.
> Hints: Need to rework on the way indexing works, so that we can index by specific metrics for successful and failed tasks differently (would be tricky). Also would require changing the disk store version (to invalidate old stores).
> OR any other efficient solutions.



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