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From "Brock Noland (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-7439) Spark job monitoring and error reporting [Spark Branch]
Date Tue, 14 Oct 2014 02:54:33 GMT

    [ https://issues.apache.org/jira/browse/HIVE-7439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14170420#comment-14170420
] 

Brock Noland commented on HIVE-7439:
------------------------------------

bq. Only a minor point: can we print the meaning of all these statistics at the top so that
users can better understand what they see?

Agreed...Perhaps we should do this as follow-on? It'd be great to get this one in.

> Spark job monitoring and error reporting [Spark Branch]
> -------------------------------------------------------
>
>                 Key: HIVE-7439
>                 URL: https://issues.apache.org/jira/browse/HIVE-7439
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Xuefu Zhang
>            Assignee: Chengxiang Li
>              Labels: Spark-M3
>         Attachments: HIVE-7439.1-spark.patch, HIVE-7439.2-spark.patch, HIVE-7439.2-spark.patch,
HIVE-7439.3-spark.patch, HIVE-7439.3-spark.patch, hive on spark job status.PNG
>
>
> After Hive submits a job to Spark cluster, we need to report to user the job progress,
such as the percentage done, to the user. This is especially important for long running queries.
Moreover, if there is an error during job submission or execution, it's also crucial for hive
to fetch the error log and/or stacktrace and feedback it to the user.
> Please refer design doc on wiki for more information.
> CLEAR LIBRARY CACHE



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