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https://issues.apache.org/jira/browse/BEAM-6894?focusedWorklogId=225774&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-225774
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ASF GitHub Bot logged work on BEAM-6894:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 10/Apr/19 18:45
            Start Date: 10/Apr/19 18:45
    Worklog Time Spent: 10m 
      Work Description: chamikaramj commented on pull request #8270: 
[BEAM-6894] Updates Dataflow runner to support external ParDos.
URL: https://github.com/apache/beam/pull/8270
 
 
   This is done by rebuilding the Pipeline object from the runner API proto if 
experiment 'cross_language_pipeline' is set.
   This rebuilding fails for some of the transforms, for example ParDos due to 
Python ParDo object expecting a serialized Python DoFn object.
   I get around this by introducing a holder object that will hold the 
PTransform (and possibly other) proto objects till we try to build the 
corresponding step at the Dataflow runner.
   At the Dataflow runner, I added a new 'run_XX' method for such holder 
PTransforms where we'll do the proper runner API proto to Dataflow API proto 
conversion (currently only implemented for ParDos).
   
   ------------------------
   
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 225774)
    Time Spent: 1.5h  (was: 1h 20m)

> ExternalTransform.expand() does not create the proper AppliedPTransform 
> sub-graph
> ---------------------------------------------------------------------------------
>
>                 Key: BEAM-6894
>                 URL: https://issues.apache.org/jira/browse/BEAM-6894
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>            Reporter: Chamikara Jayalath
>            Assignee: Chamikara Jayalath
>            Priority: Major
>          Time Spent: 1.5h
>  Remaining Estimate: 0h
>
> 'ExternalTransform.expand()' can be used to expand a remote transform and 
> build the correct runner-api subgraph for that transform. However currently 
> we do not modify the AppliedPTransform sub-graph correctly during this 
> process. Relevant code location here.
> [https://github.com/apache/beam/blob/master/sdks/python/apache_beam/transforms/external.py#L135]
>  
> Without this, DataflowRunner that relies in this object graph (not just the 
> runner API proto) to build the job submission request to Dataflow service 
> cannot construct this request properly.
>  
> cc: [~robertwb]



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