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https://issues.apache.org/jira/browse/BEAM-9562?focusedWorklogId=418955&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-418955
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ASF GitHub Bot logged work on BEAM-9562:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 08/Apr/20 22:53
            Start Date: 08/Apr/20 22:53
    Worklog Time Spent: 10m 
      Work Description: TheNeuralBit commented on pull request #11314: 
[BEAM-9562] Send Timers over Data Channel as Elements
URL: https://github.com/apache/beam/pull/11314#discussion_r405855696
 
 

 ##########
 File path: 
runners/google-cloud-dataflow-java/worker/src/main/java/org/apache/beam/runners/dataflow/worker/BatchDataflowWorker.java
 ##########
 @@ -238,9 +238,14 @@ protected BatchDataflowWorker(
         sdkFusedStage =
             pipeline == null
                 ? RegisterNodeFunction.withoutPipeline(
-                    idGenerator, 
sdkHarnessRegistry.beamFnStateApiServiceDescriptor())
+                    idGenerator,
+                    sdkHarnessRegistry.beamFnStateApiServiceDescriptor(),
+                    sdkHarnessRegistry.beamFnDataApiServiceDescriptor())
 
 Review comment:
   Isn't the timer API service descriptor different from the data API service 
descriptor? Does that need to be plumbed through SdkHarnessRegistry and used 
here instead of the data API descriptor? (same question below and in streaming 
worker)
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 418955)
    Time Spent: 15h  (was: 14h 50m)

> Remove timer from PCollection and treat timers as Elements 
> -----------------------------------------------------------
>
>                 Key: BEAM-9562
>                 URL: https://issues.apache.org/jira/browse/BEAM-9562
>             Project: Beam
>          Issue Type: New Feature
>          Components: sdk-java-harness, sdk-py-harness
>            Reporter: Boyuan Zhang
>            Assignee: Boyuan Zhang
>            Priority: Major
>             Fix For: 2.21.0
>
>          Time Spent: 15h
>  Remaining Estimate: 0h
>




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