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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (CLOUDSTACK-8423) [Xenserver] Improve the performance for processing of ClusterVMMetaDataSync command
Date Tue, 28 Apr 2015 08:16:06 GMT

    [ https://issues.apache.org/jira/browse/CLOUDSTACK-8423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14516630#comment-14516630
] 

ASF GitHub Bot commented on CLOUDSTACK-8423:
--------------------------------------------

GitHub user anshul1886 opened a pull request:

    https://github.com/apache/cloudstack/pull/204

    CLOUDSTACK-8423: [Xenserver] Improved the performance for processing of ClusterVMMetaDataSync
command

    Current way of processing can  cause slowness in DB if there are huge number of VMs

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/anshul1886/cloudstack-1 CLOUDSTACK-8423

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/cloudstack/pull/204.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 #204
    
----
commit a3e6974a94fa2af921a1b25542a2f1b637eec05e
Author: Anshul Gangwar <anshul.gangwar@citrix.com>
Date:   2015-04-28T08:07:56Z

    CLOUDSTACK-8423: [Xenserver] Improved the performance for processing of ClusterVMMetaDataSync
command
        which can cause slowness in DB if there are huge number of VMs

----


> [Xenserver] Improve the performance for processing of ClusterVMMetaDataSync command
> -----------------------------------------------------------------------------------
>
>                 Key: CLOUDSTACK-8423
>                 URL: https://issues.apache.org/jira/browse/CLOUDSTACK-8423
>             Project: CloudStack
>          Issue Type: Bug
>      Security Level: Public(Anyone can view this level - this is the default.) 
>            Reporter: Anshul Gangwar
>            Assignee: Anshul Gangwar
>
> As per current implementation this could lead to slowness in DB if there are huge number
of VMs as we are making 3 queries per VM to process the answer.



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