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https://issues.apache.org/jira/browse/EAGLE-1024?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16016919#comment-16016919
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ASF GitHub Bot commented on EAGLE-1024:
---------------------------------------
GitHub user qingwen220 opened a pull request:
https://github.com/apache/eagle/pull/938
EAGLE-1024: Monitor jobs with high RPC throughput
https://issues.apache.org/jira/browse/EAGLE-1024
* add job RPC data in MAP_REDUCE_JOB_STREAM
* refactor org.apache.eagle.jpm.analyzer.publisher.EmailPublisher
* support new config 'application.analyzerReport.alertLevel' to define
alert level
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/qingwen220/eagle EAGLE-1024
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/eagle/pull/938.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #938
----
commit 5beddd6c55512570f20532f15d42d961b442cecf
Author: Zhao, Qingwen <[email protected]>
Date: 2017-05-18T15:02:57Z
add JobRpcAnalysisEvaluator
commit 9011e49fbd7d82b83e455dfdceebf1b4d1359eef
Author: Zhao, Qingwen <[email protected]>
Date: 2017-05-19T05:29:20Z
refactor EmailPublisher.java
----
> Monitor jobs with high RPC throughput
> --------------------------------------
>
> Key: EAGLE-1024
> URL: https://issues.apache.org/jira/browse/EAGLE-1024
> Project: Eagle
> Issue Type: Improvement
> Affects Versions: v0.5.0
> Reporter: Zhao, Qingwen
> Assignee: Zhao, Qingwen
>
> We've identified some jobs with high RPC throughput which causes the NN heavy
> RPC overhead. These jobs has requested extremely large HDFS operations in a
> very short window (2 mins).
> So we tend to capture those jobs with:
> a) the job has very large RPC throughput, using the job total HDFS ops/the
> job duration, if the throughput is larger than 1000
> b) and if the HDFS ops per task is larger than 25
> Then send out the alert out. Later, we will notify the users to optimize
> their jobs.
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