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https://issues.apache.org/jira/browse/QUARKS-156?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dale LaBossiere resolved QUARKS-156.
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Resolution: Fixed
> 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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