[jira] [Commented] (SPARK-4634) Enable metrics for each application to be gathered in one node

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-4634?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14227141#comment-14227141 ] 

Apache Spark commented on SPARK-4634:
-------------------------------------

User 'tsudukim' has created a pull request for this issue:
https://github.com/apache/spark/pull/3489

> Enable metrics for each application to be gathered in one node
> --------------------------------------------------------------
>
>                 Key: SPARK-4634
>                 URL: https://issues.apache.org/jira/browse/SPARK-4634
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 1.1.0
>            Reporter: Masayoshi TSUZUKI
>
> Metrics output is now like this:
> {noformat}
>   - app_1.driver.jvm.<somevalue>
>   - app_1.driver.jvm.<somevalue>
>   - ...
>   - app_2.driver.jvm.<somevalue>
>   - app_2.driver.jvm.<somevalue>
>   - ...
> {noformat}
> In current spark, application names come to top level,
> but we should be able to gather the application names under some top level node.
> For example, think of using graphite.
> When we use graphite, the application names are listed as top level node.
> Graphite can also collect OS metrics, and OS metrics are able to be put in some one node.
> But the current Spark metrics are not.
> So, with the current Spark, the tree structure of metrics shown in graphite web UI is like this.
> {noformat}
>   - os
>     - os.node1.<somevalue>
>     - os.node2.<somevalue>
>     - ...
>   - app_1
>     - app_1.driver.jvm.<somevalue>
>     - app_1.driver.jvm.<somevalue>
>     - ...
>   - app_2
>     - ...
>   - app_3
>     - ...
> {noformat}
> We should be able to add some top level name before the application name (top level name may be cluster name for instance).
> If we make the name configurable by *.conf, it might be also convenience in case that 2 different spark clusters sink metrics to the same graphite server.



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