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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (AMBARI-15061) PXF Service checks fails with timeout
Date Fri, 19 Feb 2016 12:09:18 GMT

    [ https://issues.apache.org/jira/browse/AMBARI-15061?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15154151#comment-15154151
] 

Hadoop QA commented on AMBARI-15061:
------------------------------------

{color:red}-1 overall{color}.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12788613/AMBARI-15061-2.patch
  against trunk revision .

    {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 javac{color:red}.  The patch appears to cause the build to fail.

Console output: https://builds.apache.org/job/Ambari-trunk-test-patch/5466//console

This message is automatically generated.

> PXF Service checks fails with timeout
> -------------------------------------
>
>                 Key: AMBARI-15061
>                 URL: https://issues.apache.org/jira/browse/AMBARI-15061
>             Project: Ambari
>          Issue Type: Bug
>          Components: stacks
>    Affects Versions: trunk, 2.2.0
>            Reporter: bhuvnesh chaudhary
>            Assignee: bhuvnesh chaudhary
>             Fix For: trunk, 2.2.0
>
>         Attachments: AMBARI-15061-1.patch, AMBARI-15061-2.patch, AMBARI-15061-branch-2.2.patch
>
>
> During PXF service check, in order to execute hbase / hive command, we do initialize
the shell everytime (hbase shell / hive) and then run the command. Initializing the shell
takes time and we do that around 3-4 times which consumes majority of the time.
> We should initialize the shell once, and execute the commands using a file instead of
doing individually.



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