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https://issues.apache.org/jira/browse/QUARKS-156?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15268701#comment-15268701
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ASF GitHub Bot commented on QUARKS-156:
---------------------------------------

GitHub user dlaboss opened a pull request:

    https://github.com/apache/incubator-quarks-website/pull/56

    [QUARKS-156] [WAIT-FOR-CODE-MERGE] concurrent analytics recipe

    

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

    $ git pull https://github.com/dlaboss/incubator-quarks-website 
quarks-156-concurrentAnalyticsRecipe

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

    https://github.com/apache/incubator-quarks-website/pull/56.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 #56
    
----
commit 59922d4e26431ce3bfa60720edca500b6ba895c6
Author: Dale LaBossiere <[email protected]>
Date:   2016-05-03T13:21:22Z

    [QUARKS-156] concurrent analytics recipe

----


> support concurrent analytics / barrier
> --------------------------------------
>
>                 Key: QUARKS-156
>                 URL: https://issues.apache.org/jira/browse/QUARKS-156
>             Project: Quarks
>          Issue Type: New Feature
>          Components: API
>            Reporter: Dale LaBossiere
>            Assignee: Dale LaBossiere
>
> Consider a pipeline of *independent* analytics, each enriching some tuple 
> with additional information:
> ```
> readings<T> -> A1 -> A2 -> A3 -> results<R>
> ```
> If the analytics are independent and non-trivial / time consuming, there's a 
> desire to run the analytics concurrently for each tuple with a graph 
> logically like:
> ```
>                            /->  A1  ->\
> readings<T> ->  |->  A2   ->| -> result<R>
>                            \->  A3  ->/
> ```
> I'm using the term "concurrent" instead of "parallel".  Java8 Streams', and 
> IBM Streams Java API's and SPL's, use of "parallel" is for "parallel-tuple 
> processing": multiple tuples, each being processed in parallel in its own 
> "channel" of the same replicated pipeline of operations.
> I'm going to use a pull-request to capture API proposals/discussion.



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