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https://issues.apache.org/jira/browse/BEAM-5999?focusedWorklogId=165857&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-165857
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ASF GitHub Bot logged work on BEAM-5999:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 14/Nov/18 10:36
            Start Date: 14/Nov/18 10:36
    Worklog Time Spent: 10m 
      Work Description: robertwb commented on issue #6986: [BEAM-5999] 
Reconcile timer proto representation.
URL: https://github.com/apache/beam/pull/6986#issuecomment-438616648
 
 
   Looking into this...
   
   On Wed, Nov 14, 2018 at 11:30 AM Maximilian Michels <
   notificati...@github.com> wrote:
   
   > I think there is a problem with this PR. It doesn't produce unique names
   > anymore for the timer collection ids. For example, timer foo:
   >
   > stageBundleFactory
   > .getProcessBundleDescriptor()
   > .getProcessBundleDescriptor()
   > .getPcollectionsMap()
   > .get("ParDo(Anonymous)2/ParMultiDo(Anonymous).foo.out:0")
   > .getUniqueName()
   >
   > Should produce: "ParDo(Anonymous)2/ParMultiDo(Anonymous).foo"
   > Actual: "ParDo(Anonymous)2/ParMultiDo(Anonymous).output"
   >
   > I couldn't find a way to resolve the timer input collection id from the
   > timer output collection id. So I had to revert the commit for #6981
   > <https://github.com/apache/beam/pull/6981>.
   >
   > —
   > You are receiving this because you were mentioned.
   > Reply to this email directly, view it on GitHub
   > <https://github.com/apache/beam/pull/6986#issuecomment-438614604>, or mute
   > the thread
   > 
<https://github.com/notifications/unsubscribe-auth/AAdqgb_toAcgKxj-QhhQT26SxewKQMgbks5uu_CugaJpZM4YVAjc>
   > .
   >
   

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

    Worklog Id:     (was: 165857)
    Time Spent: 3h 40m  (was: 3.5h)

> 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: 3h 40m
>  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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