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https://issues.apache.org/jira/browse/BEAM-6067?focusedWorklogId=167699&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-167699
 ]

ASF GitHub Bot logged work on BEAM-6067:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 20/Nov/18 10:07
            Start Date: 20/Nov/18 10:07
    Worklog Time Spent: 10m 
      Work Description: robertwb commented on a change in pull request #7081: 
[BEAM-6067] In Python SDK, specify pipeline_proto_coder_id property in 
non-Beam-standard CloudObject coders
URL: https://github.com/apache/beam/pull/7081#discussion_r234939025
 
 

 ##########
 File path: sdks/python/apache_beam/coders/coders.py
 ##########
 @@ -190,7 +190,7 @@ def _get_component_coders(self):
     # refined in user-defined Coders.
     return []
 
-  def as_cloud_object(self):
+  def as_cloud_object(self, coders_context=None):
 
 Review comment:
   Is there any reason to make coders_context optional? 

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

            Worklog Id:     (was: 167699)
            Time Spent: 1h 10m  (was: 1h)
    Remaining Estimate: 166h 50m  (was: 167h)

> Dataflow runner should include portable pipeline coder id in CloudObject 
> coder representation
> ---------------------------------------------------------------------------------------------
>
>                 Key: BEAM-6067
>                 URL: https://issues.apache.org/jira/browse/BEAM-6067
>             Project: Beam
>          Issue Type: Improvement
>          Components: beam-model
>            Reporter: Craig Chambers
>            Assignee: Craig Chambers
>            Priority: Major
>   Original Estimate: 168h
>          Time Spent: 1h 10m
>  Remaining Estimate: 166h 50m
>
> When translating a BeamJava Coder into the DataflowRunner's CloudObject 
> property map, include a property that specifies the id in the Beam model 
> Pipeline coders map corresponding to that Coder.  This will allow the 
> DataflowRunner to reference the corresponding Beam coder in the FnAPI 
> processing bundle.



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