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https://issues.apache.org/jira/browse/SPARK-16573?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15379881#comment-15379881
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Norman He commented on SPARK-16573:
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It is all manual, and the logs I am watching is in yarn. Just wondering how
tensorflow 's tensorboard make this work.
> executor stderr processing tools
> ---------------------------------
>
> Key: SPARK-16573
> URL: https://issues.apache.org/jira/browse/SPARK-16573
> Project: Spark
> Issue Type: Improvement
> Components: Input/Output
> Environment: spark 1.6.0
> Reporter: Norman He
> Original Estimate: 672h
> Remaining Estimate: 672h
>
> 1) from eacch executor, I can view stderr of each one
> 2) I would like to filter all the stderr of every executor ( saying I am
> interested #18 output of all executor ) and I would like to add the number in
> them by grepping certain field and sum them up.
> 3) TensorBoard having this kind of capability
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