You are viewing a plain text version of this content. The canonical link for it is here.

Posted to mapreduce-issues@hadoop.apache.org by "Aihua Xu (JIRA)" <ji...@apache.org> on 2018/11/02 23:34:00 UTC

[jira] [Assigned] (MAPREDUCE-7157) Expose the API for upstream applications to pass in a caller context to MR

     [ https://issues.apache.org/jira/browse/MAPREDUCE-7157?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Aihua Xu reassigned MAPREDUCE-7157:
-----------------------------------

    Assignee: Aihua Xu

> Expose the API for upstream applications to pass in a caller context to MR
> --------------------------------------------------------------------------
>
>                 Key: MAPREDUCE-7157
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-7157
>             Project: Hadoop Map/Reduce
>          Issue Type: Improvement
>            Reporter: Aihua Xu
>            Assignee: Aihua Xu
>            Priority: Major
>
> YARN-4349 adds the callerContext support to Yarn so Yarn job id (or attempt id) is logged into hdfs audit log when the job accesses the HDFS, while it's still hard to figure out the original client from audit log, e.g., when hive submits a job to MR, it would be very helpful to log hive queryId as well. both TEZ engine (TEZ-2851) and spark (SPARK-16759) have implemented such function.  



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

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