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https://issues.apache.org/jira/browse/BEAM-313?focusedWorklogId=138312&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-138312
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ASF GitHub Bot logged work on BEAM-313:
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Author: ASF GitHub Bot
Created on: 27/Aug/18 08:02
Start Date: 27/Aug/18 08:02
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-416147962
Thanks for the quick replies!
@iemejia @jbonofre @amitsela
All I want to do is to use Beam on top of spark and use the SJS to start it,
because the Spark cluster I have access to only allows starting jobs with SJS.
Is there a code snippet somewhere , how to do this (if it's possible at all)?
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Issue Time Tracking
-------------------
Worklog Id: (was: 138312)
Time Spent: 40m (was: 0.5h)
> 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: 40m
> 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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