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https://issues.apache.org/jira/browse/BEAM-2590?focusedWorklogId=221868&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-221868
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ASF GitHub Bot logged work on BEAM-2590:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 02/Apr/19 17:30
            Start Date: 02/Apr/19 17:30
    Worklog Time Spent: 10m 
      Work Description: ibzib commented on issue #8115: [BEAM-2590] Implement 
basic Spark portable runner
URL: https://github.com/apache/beam/pull/8115#issuecomment-479108603
 
 
   Pinging @iemejia -- I would really like to hear your thoughts on this. I 
know it looks like a lot of code, but much of it is boilerplate. Most of the 
actual Spark logic is in 
[SparkBatchPortablePipelineTranslator.java](https://github.com/apache/beam/blob/897c1b2fe605d5a1338055e451e33608d490a65e/runners/spark/src/main/java/org/apache/beam/runners/spark/translation/SparkBatchPortablePipelineTranslator.java),
 so that would be a good place to start looking.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 221868)
    Time Spent: 1.5h  (was: 1h 20m)

> SparkRunner shim for Job API
> ----------------------------
>
>                 Key: BEAM-2590
>                 URL: https://issues.apache.org/jira/browse/BEAM-2590
>             Project: Beam
>          Issue Type: Sub-task
>          Components: runner-spark
>            Reporter: Kenneth Knowles
>            Assignee: Kyle Weaver
>            Priority: Major
>              Labels: portability, triaged
>          Time Spent: 1.5h
>  Remaining Estimate: 0h
>
> Whatever the result of https://s.apache.org/beam-job-api we will need a way 
> for the JVM-based SparkRunner to receive and run pipelines authors in Python.



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