You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:34:18 UTC

[jira] [Resolved] (SPARK-14332) Support Hadoop Input/OutputFormat Counters as Metrics

     [ https://issues.apache.org/jira/browse/SPARK-14332?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-14332.
----------------------------------
    Resolution: Incomplete

> Support Hadoop Input/OutputFormat Counters as Metrics
> -----------------------------------------------------
>
>                 Key: SPARK-14332
>                 URL: https://issues.apache.org/jira/browse/SPARK-14332
>             Project: Spark
>          Issue Type: Improvement
>          Components: Input/Output
>            Reporter: Mike Sukmanowsky
>            Priority: Minor
>              Labels: bulk-closed
>
> Many custom Hadoop Input/Output Formats register metrics via Hadoop's Counter infrastructure. For example, the Input/Output formats offered by es-hadoop registers quite a few [handy metrics|https://www.elastic.co/guide/en/elasticsearch/hadoop/current/metrics.html#metrics].
> It'd be very helpful for something like the {{SparkHadoopWriter}} class (not sure of the equivalent on the read side) to automatically discover and register all Hadoop counters as Spark metric sources.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org