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https://issues.apache.org/jira/browse/APEXCORE-474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15453918#comment-15453918
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ASF GitHub Bot commented on APEXCORE-474:
-----------------------------------------

GitHub user sandeshh opened a pull request:

    https://github.com/apache/apex-core/pull/378

    APEXCORE-474

    https://issues.apache.org/jira/browse/APEXCORE-474
    
    Creating a separate container for the last unifier is not required. It only 
changes the default behavior, users can still create the separate unifiers.
    
    @PramodSSImmaneni & @tweise please review.

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

    $ git pull https://github.com/sandeshh/apex-core APEXCORE-474

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

    https://github.com/apache/apex-core/pull/378.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 #378
    
----
commit 3c5bc858967b0dfbebc5422aaaba93fbc7e7a3c8
Author: sandeshh <[email protected]>
Date:   2016-08-31T18:26:12Z

    changes

----


> Default unifier placement during M*1 deployment
> -----------------------------------------------
>
>                 Key: APEXCORE-474
>                 URL: https://issues.apache.org/jira/browse/APEXCORE-474
>             Project: Apache Apex Core
>          Issue Type: Improvement
>            Reporter: Sandesh
>
> During M*1 deployment, unifier was deployed in the separate container. But 
> there is no advantage in doing that. 
> It is better to make the unifier THREAD_LOCAL with the downstream operator.
> ( https://issues.apache.org/jira/browse/APEXCORE-482 )
> Note:
> Recently saw one Kafka ETL app, that had a total of 18 containers allocated, 
> but out of that 5 containers were allocated for default unifiers. It also 
> means, lots of time is spent in SerDe. 
> Implementing this feature will improve the performance greatly.



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