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From "Hudson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-18023) Log multi-* requests for more than threshold number of rows
Date Wed, 26 Jul 2017 01:32:00 GMT

    [ https://issues.apache.org/jira/browse/HBASE-18023?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16101045#comment-16101045
] 

Hudson commented on HBASE-18023:
--------------------------------

SUCCESS: Integrated in Jenkins build HBase-1.3-JDK8 #220 (See [https://builds.apache.org/job/HBase-1.3-JDK8/220/])
HBASE-18023 Update row threshold warning from 1k to 5k (addendum) (elserj: rev b88a03fb9ca192cb7da836726cbda44d13b691db)
* (edit) hbase-common/src/main/resources/hbase-default.xml
* (edit) hbase-server/src/main/java/org/apache/hadoop/hbase/regionserver/RSRpcServices.java


> Log multi-* requests for more than threshold number of rows
> -----------------------------------------------------------
>
>                 Key: HBASE-18023
>                 URL: https://issues.apache.org/jira/browse/HBASE-18023
>             Project: HBase
>          Issue Type: Improvement
>          Components: regionserver
>            Reporter: Clay B.
>            Assignee: David Harju
>            Priority: Minor
>             Fix For: 2.0.0, 3.0.0, 1.4.0, 1.3.2
>
>         Attachments: HBASE-18023.addendum.patch, HBASE-18023-branch-1.3.patch, HBASE-18023-branch-1.patch,
HBASE-18023.master.001.patch, HBASE-18023.master.002.patch, HBASE-18023.master.003.patch,
HBASE-18023.master.004.patch
>
>
> Today, if a user happens to do something like a large multi-put, they can get through
request throttling (e.g. it is one request) but still crash a region server with a garbage
storm. We have seen regionservers hit this issue and it is silent and deadly. The RS will
report nothing more than a mysterious garbage collection and exit out.
> Ideally, we could report a large multi-* request before starting it, in case it happens
to be deadly. Knowing the client, user and how many rows are affected would be a good start
to tracking down painful users.



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