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https://issues.apache.org/jira/browse/QUARKS-165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15269174#comment-15269174
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ASF GitHub Bot commented on QUARKS-165:
---------------------------------------

GitHub user dlaboss reopened a pull request:

    https://github.com/apache/incubator-quarks/pull/104

    [QUARKS-165] add traditional parallel analytics

    - Add PlumbingStreams.parallel()
    - Add PlumbingStreams.parallelMap()
    - Add PlumbingStreams.roundRobinSplitter()
    
    These are in contrast to the new concurrent[Map]() in PR-99.

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

    $ git pull https://github.com/dlaboss/incubator-quarks 
quarks-165-parallelAnalytics

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

    https://github.com/apache/incubator-quarks/pull/104.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 #104
    
----
commit 1a52f120640c0d914f7afc99e10daf8565ea83c7
Author: Dale LaBossiere <[email protected]>
Date:   2016-05-02T18:56:35Z

    [QUARKS-165] [WIP] [skip-ci] add traditional parallel analytics
    
    - Add PlumbingStreams.parallel()
    - Add PlumbingStreams.parallelMap()
    
    These are in contrast to the new concurrent[Map]() in PR-99.
    The impl is dependent on functionality in PR-99 and can't be merged
    until that is merged. The hack makes the tests runnable and they pass.

commit 6ab46289f97bac6d1cc02f2f03e8f4305619ce9a
Author: Dale LaBossiere <[email protected]>
Date:   2016-05-03T16:58:28Z

    rebase, tidy up

----


> support tuple-parallel analytics
> --------------------------------
>
>                 Key: QUARKS-165
>                 URL: https://issues.apache.org/jira/browse/QUARKS-165
>             Project: Quarks
>          Issue Type: New Feature
>            Reporter: Dale LaBossiere
>            Assignee: Dale LaBossiere
>
> Add the ability to easily create traditional parallel pipeline flows:  
> N-channels of the same pipeline logic, with a splitter controlling the tuple 
> distribution, and union'ing the results from the channels.
> I'm creating a PR with the API.



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