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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (PHOENIX-3807) Add server level metrics for secondary indexes
Date Thu, 13 Jul 2017 21:43:00 GMT

    [ https://issues.apache.org/jira/browse/PHOENIX-3807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16086449#comment-16086449
] 

Hadoop QA commented on PHOENIX-3807:
------------------------------------

{color:red}-1 overall{color}.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12877169/PHOENIX-3807.v2.patch
  against master branch at commit 8a34de7a4c74584f5fb3a7ab9aaa64fd6269717b.
  ATTACHMENT ID: 12877169

    {color:green}+1 @author{color}.  The patch does not contain any @author tags.

    {color:red}-1 tests included{color}.  The patch doesn't appear to include any new or modified
tests.
                        Please justify why no new tests are needed for this patch.
                        Also please list what manual steps were performed to verify this patch.

    {color:red}-1 patch{color}.  The patch command could not apply the patch.

Console output: https://builds.apache.org/job/PreCommit-PHOENIX-Build/1213//console

This message is automatically generated.

> Add server level metrics for secondary indexes
> ----------------------------------------------
>
>                 Key: PHOENIX-3807
>                 URL: https://issues.apache.org/jira/browse/PHOENIX-3807
>             Project: Phoenix
>          Issue Type: Improvement
>            Reporter: Andrew Purtell
>            Assignee: Vincent Poon
>             Fix For: 4.12.0
>
>         Attachments: PHOENIX-3807.v1.master.patch, PHOENIX-3807.v2.patch, Screen Shot
2017-05-31 at 4.00.16 PM.png
>
>
> Add server level metrics for secondary indexes
> - Histogram metrics for time to complete all secondary index updates per primary table
update per index type. Will help us trend perf over time and catch impending issues. 
> - Histogram metrics for number of updates dispatched to secondary index stores to service
one primary table update per index type. Will help us catch inefficient behavior or problematic
schema design. 
> - Count of deployed secondary indexes by type. Will help understand and trend index usage,
or catch deploy of an unwanted index type.



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