[jira] [Resolved] (SPARK-10912) Improve Spark metrics executor.filesystem

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10912?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-10912.
-------------------------------
    Resolution: Won't Fix

This is EC2-specific, and support for that has moved out of Spark. I think this is specifically a function of the Hadoop InputFormat support for S3, rather than Spark

> Improve Spark metrics executor.filesystem
> -----------------------------------------
>
>                 Key: SPARK-10912
>                 URL: https://issues.apache.org/jira/browse/SPARK-10912
>             Project: Spark
>          Issue Type: Improvement
>          Components: Deploy
>    Affects Versions: 1.5.0
>            Reporter: Yongjia Wang
>            Priority: Minor
>         Attachments: s3a_metrics.patch
>
>
> In org.apache.spark.executor.ExecutorSource it has 2 filesystem metrics: "hdfs" and "file". I started using s3 as the persistent storage with Spark standalone cluster in EC2, and s3 read/write metrics do not appear anywhere. The 'file' metric appears to be only for driver reading local file, it would be nice to also report shuffle read/write metrics, so it can help with optimization.
> I think these 2 things (s3 and shuffle) are very useful and cover all the missing information about Spark IO especially for s3 setup.



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