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https://issues.apache.org/jira/browse/BEAM-4253?focusedWorklogId=108218&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-108218
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ASF GitHub Bot logged work on BEAM-4253:
----------------------------------------
Author: ASF GitHub Bot
Created on: 01/Jun/18 22:16
Start Date: 01/Jun/18 22:16
Worklog Time Spent: 10m
Work Description: hubayirp commented on issue #5538: [BEAM-4253] Update
dataflow worker to fix ParDoTest fails in DataflowValidatesRunner suite
URL: https://github.com/apache/beam/pull/5538#issuecomment-394023968
Interesting Pantheon use:)
On Fri, Jun 1, 2018 at 3:03 PM, Alan Myrvold <[email protected]>
wrote:
> Ran a ParDo workflow with the change and it passed,
> https://pantheon.corp.google.com/dataflow/jobsDetail/
> locations/us-central1/jobs/2018-06-01_14_55_43-
> 5051976351421275843?project=apache-beam-testing
>
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Issue Time Tracking
-------------------
Worklog Id: (was: 108218)
Time Spent: 1.5h (was: 1h 20m)
> ParDoTest fails in Dataflow ValidatesRunner suite
> -------------------------------------------------
>
> Key: BEAM-4253
> URL: https://issues.apache.org/jira/browse/BEAM-4253
> Project: Beam
> Issue Type: Bug
> Components: testing
> Reporter: Scott Wegner
> Assignee: Luke Cwik
> Priority: Minor
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> The Gradle job is finally tuned for the Jenkin machines such that we can get
> a reliable signal, and we are seeing ParDoTests consistently failing:
> https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Dataflow_Gradle/208/
> {{java.lang.AbstractMethodError:
> org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.element(Lorg/apache/beam/sdk/transforms/DoFn;)Ljava/lang/Object;
> at
> org.apache.beam.sdk.transforms.ParDoTest$TestDoFn$DoFnInvoker.invokeProcessElement(Unknown
> Source)
> at
> org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:177)
> at
> org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:141)
> at
> com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:323)
> at
> com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
> at
> com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
> at
> com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:200)
> at
> com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:158)
> at
> com.google.cloud.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:75)
> at
> com.google.cloud.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:383)
> at
> com.google.cloud.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:355)
> at
> com.google.cloud.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:286)
> at
> com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:134)
> at
> com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:114)
> at
> com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:101)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> 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)}}
> It's unclear when these started failing.
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