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https://issues.apache.org/jira/browse/BEAM-313?focusedWorklogId=140059&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-140059
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ASF GitHub Bot logged work on BEAM-313:
---------------------------------------

                Author: ASF GitHub Bot
            Created on: 31/Aug/18 11:12
            Start Date: 31/Aug/18 11:12
    Worklog Time Spent: 10m 
      Work Description: kohlerm commented on issue #401: [BEAM-313] Enable the 
use of an existing spark context with the SparkPipelineRunner
URL: https://github.com/apache/beam/pull/401#issuecomment-417632772
 
 
   https://gist.github.com/kohlerm/649f92195e71697a1931f81def176ec9
   
   worked for us.
   Thanks for the hint!

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 140059)
    Time Spent: 1h 50m  (was: 1h 40m)

> Enable the use of an existing spark context with the SparkPipelineRunner
> ------------------------------------------------------------------------
>
>                 Key: BEAM-313
>                 URL: https://issues.apache.org/jira/browse/BEAM-313
>             Project: Beam
>          Issue Type: New Feature
>          Components: runner-spark
>            Reporter: Abbass Marouni
>            Assignee: Jean-Baptiste Onofré
>            Priority: Major
>             Fix For: 0.3.0-incubating
>
>          Time Spent: 1h 50m
>  Remaining Estimate: 0h
>
> The general use case is that the SparkPipelineRunner creates its own Spark 
> context and uses it for the pipeline execution.
> Another alternative is to provide the SparkPipelineRunner with an existing 
> spark context. This can be interesting for a lot of use cases where the Spark 
> context is managed outside of beam (context reuse, advanced context 
> management, spark job server, ...).
> code sample : 
> https://github.com/amarouni/incubator-beam/commit/fe0bb517bf0ccde07ef5a61f3e44df695b75f076



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