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https://issues.apache.org/jira/browse/HIVE-18652?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sahil Takiar updated HIVE-18652:
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Attachment: HIVE-18652.3.patch
> Print Spark metrics on console
> ------------------------------
>
> Key: HIVE-18652
> URL: https://issues.apache.org/jira/browse/HIVE-18652
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Sahil Takiar
> Assignee: Sahil Takiar
> Priority: Major
> Attachments: HIVE-18652.1.patch, HIVE-18652.2.patch,
> HIVE-18652.3.patch
>
>
> For Hive-on-MR, each MR job launched prints out some stats about the job:
> {code}
> INFO : 2018-02-07 17:51:11,218 Stage-1 map = 0%, reduce = 0%
> INFO : 2018-02-07 17:51:18,396 Stage-1 map = 100%, reduce = 0%, Cumulative
> CPU 1.87 sec
> INFO : 2018-02-07 17:51:25,742 Stage-1 map = 100%, reduce = 100%,
> Cumulative CPU 4.34 sec
> INFO : MapReduce Total cumulative CPU time: 4 seconds 340 msec
> INFO : Ended Job = job_1517865654989_0004
> INFO : MapReduce Jobs Launched:
> INFO : Stage-Stage-1: Map: 1 Reduce: 1 Cumulative CPU: 4.34 sec HDFS
> Read: 7353 HDFS Write: 151 SUCCESS
> INFO : Total MapReduce CPU Time Spent: 4 seconds 340 msec
> {code}
> We should do the same for Hive-on-Spark.
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