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https://issues.apache.org/jira/browse/BEAM-313?focusedWorklogId=137438&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-137438
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ASF GitHub Bot logged work on BEAM-313:
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Author: ASF GitHub Bot
Created on: 23/Aug/18 16:00
Start Date: 23/Aug/18 16:00
Worklog Time Spent: 10m
Work Description: iemejia 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-415471084
@kohlerm One use of this is to improve the latency of starting Spark jobs by
'pre-heating' a SparkContext with the required environment and reusing these
contexts on job executions at SJS (reusing contexts is something you should do
with caution).
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Issue Time Tracking
-------------------
Worklog Id: (was: 137438)
Time Spent: 0.5h (was: 20m)
> 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: 0.5h
> 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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