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https://issues.apache.org/jira/browse/BEAM-5999?focusedWorklogId=163986&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-163986
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ASF GitHub Bot logged work on BEAM-5999:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 08/Nov/18 17:24
            Start Date: 08/Nov/18 17:24
    Worklog Time Spent: 10m 
      Work Description: lukecwik commented on issue #6986: [BEAM-5999] 
Reconcile timer proto representation.
URL: https://github.com/apache/beam/pull/6986#issuecomment-437085086
 
 
   It seems odd to have the pipeline during job creation represent it one way 
and for the ProcessBundleDescriptor to create a PCollection to satisfy how the 
Data API is able to connect inputs/outputs. One of the side effects of this 
change is that timers are implicitly reserving their local names in the input 
map and aren't part of that input map.
   
   In the thread you had mentioned that it seems a lot closer to state, where 
you planning on adding a follow-up change to migrate timers to a different 
state like API or just to the state API where timers are "read" like a bagstate 
and it is upto the SDK to request them and it would be an error not to do so?
   
   

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

    Worklog Id:     (was: 163986)
    Time Spent: 50m  (was: 40m)

> Proto error when running test_pardo_timers of Python PortableValidatesRunner
> ----------------------------------------------------------------------------
>
>                 Key: BEAM-5999
>                 URL: https://issues.apache.org/jira/browse/BEAM-5999
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core, testing
>            Reporter: Maximilian Michels
>            Priority: Major
>              Labels: portability, portability-flink
>             Fix For: 2.9.0
>
>          Time Spent: 50m
>  Remaining Estimate: 0h
>
> When I run {{FlinkRunnerTest.test_pardo_timers}}, I get the following error 
> during fusing the Proto pipeline. Note, the Java ValidatesPortableRunner 
> timer tests run fine. Seems to be an issue with the Python translation.
> {noformat}
> [flink-runner-job-server] ERROR 
> org.apache.beam.runners.flink.FlinkJobInvocation - Error during job 
> invocation 
> test_pardo_timers_1541532770.41_45967eac-8089-4a5f-9d2b-7a4a9d01c7f1.
> java.lang.IllegalArgumentException
>       at 
> org.apache.beam.model.pipeline.v1.RunnerApi$PTransform.getInputsOrThrow(RunnerApi.java:7418)
>       at 
> org.apache.beam.runners.core.construction.graph.QueryablePipeline.lambda$getTimers$11(QueryablePipeline.java:385)
>       at 
> java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
>       at java.util.Iterator.forEachRemaining(Iterator.java:116)
>       at 
> java.util.Spliterators$IteratorSpliterator.forEachRemaining(Spliterators.java:1801)
>       at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481)
>       at 
> java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
>       at 
> java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
>       at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
>       at 
> java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499)
>       at 
> org.apache.beam.runners.core.construction.graph.QueryablePipeline.getTimers(QueryablePipeline.java:392)
>       at 
> org.apache.beam.runners.core.construction.graph.GreedyStageFuser.forGrpcPortRead(GreedyStageFuser.java:93)
>       at 
> org.apache.beam.runners.core.construction.graph.GreedyPipelineFuser.fuseSiblings(GreedyPipelineFuser.java:340)
>       at 
> org.apache.beam.runners.core.construction.graph.GreedyPipelineFuser.fusePipeline(GreedyPipelineFuser.java:142)
>       at 
> org.apache.beam.runners.core.construction.graph.GreedyPipelineFuser.<init>(GreedyPipelineFuser.java:75)
>       at 
> org.apache.beam.runners.core.construction.graph.GreedyPipelineFuser.fuse(GreedyPipelineFuser.java:88)
>       at 
> org.apache.beam.runners.flink.FlinkJobInvocation.runPipeline(FlinkJobInvocation.java:96)
>       at 
> org.apache.beam.repackaged.beam_runners_flink_2.11.com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:111)
>       at 
> org.apache.beam.repackaged.beam_runners_flink_2.11.com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:58)
>       at 
> org.apache.beam.repackaged.beam_runners_flink_2.11.com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:75)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>       at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>       at java.lang.Thread.run(Thread.java:745)
> {noformat}
> To reproduce, enable the test in {{FlinkRunnerTest}}, then run the following 
> from {{sdks/python}}:
> {noformat}
> python -m apache_beam.runners.portability.flink_runner_test 
> --flink_job_server_jar=/path/to//beam/runners/flink/job-server/build/libs/beam-runners-flink_2.11-job-server-2.9.0-SNAPSHOT.jar
>  --streaming FlinkRunnerTest.test_pardo_timers
> {noformat}



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