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Posted to issues@beam.apache.org by "Danny McCormick (Jira)" <ji...@apache.org> on 2022/06/05 01:15:00 UTC
[jira] [Commented] (BEAM-14544) Unable to drain pipelines due to seemingly irrelevant timestamp shift validation
[ https://issues.apache.org/jira/browse/BEAM-14544?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17550107#comment-17550107 ]
Danny McCormick commented on BEAM-14544:
----------------------------------------
This issue has been migrated to https://github.com/apache/beam/issues/21669
> Unable to drain pipelines due to seemingly irrelevant timestamp shift validation
> --------------------------------------------------------------------------------
>
> Key: BEAM-14544
> URL: https://issues.apache.org/jira/browse/BEAM-14544
> Project: Beam
> Issue Type: Bug
> Components: runner-dataflow
> Affects Versions: 2.38.0
> Reporter: Balázs Németh
> Priority: P2
>
> Beam 2.38.0
> I encounter the following stacktrace when I try to drain a Dataflow pipeline. During the normal execution the pipeline is flawless, but gets stuck during draining,
> I don't explicitly modify windowing, triggering, timestamps, etc, but the built-in IOs might (AFAIK the KafkaIO doesn't, but the using load jobs for BQ insertions does due to the triggering frequency).
> The pipeline that produces this:
> - KafkaIO.readBytes()
> - a custom minimalistic DoFn doing the parsing of KafkaRecord.getKV().getValue()
> - BigQueryIO.write() + method(FILE_LOADS) + triggeringFrequency(...)
>
> {code:java}
> Error message from worker: java.lang.IllegalStateException: TimestampCombiner moved element from 294247-01-10T04:00:54.775Z (TIMESTAMP_MAX_VALUE) to earlier time 294247-01-09T04:00:54.775Z (end of global window) for window org.apache.beam.sdk.transforms.windowing.GlobalWindow@71e075dc
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.WatermarkHold.shift(WatermarkHold.java:120)
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.WatermarkHold.addElementHold(WatermarkHold.java:157)
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.WatermarkHold.addHolds(WatermarkHold.java:104)
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.processElement(ReduceFnRunner.java:610)
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.processElements(ReduceFnRunner.java:360)
> org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:96)
> org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:43)
> org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:121)
> org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:80)
> org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:137)
> org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
> org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
> org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:212)
> org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:163)
> org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:83)
> org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1445)
> org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1100(StreamingDataflowWorker.java:165)
> org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$7.run(StreamingDataflowWorker.java:1120)
> org.apache.beam.runners.dataflow.worker.util.BoundedQueueExecutor.lambda$executeLockHeld$0(BoundedQueueExecutor.java:133)
> java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
> java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
> java.base/java.lang.Thread.run(Thread.java:834)
> java.lang.IllegalStateException: TimestampCombiner moved element from 294247-01-10T04:00:54.775Z (TIMESTAMP_MAX_VALUE) to earlier time 294247-01-09T04:00:54.775Z (end of global window) for window org.apache.beam.sdk.transforms.windowing.GlobalWindow@71e075dc
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.WatermarkHold.shift(WatermarkHold.java:120)
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.WatermarkHold.addElementHold(WatermarkHold.java:157)
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.WatermarkHold.addHolds(WatermarkHold.java:104)
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.processElement(ReduceFnRunner.java:610)
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.processElements(ReduceFnRunner.java:360)
> org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:96)
> org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:43)
> org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:121)
> org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:80)
> org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:137)
> org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
> org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
> org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:212)
> org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:163)
> org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:83)
> org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1445)
> org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1100(StreamingDataflowWorker.java:165)
> org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$7.run(StreamingDataflowWorker.java:1120)
> org.apache.beam.runners.dataflow.worker.util.BoundedQueueExecutor.lambda$executeLockHeld$0(BoundedQueueExecutor.java:133)
> java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
> java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
> java.base/java.lang.Thread.run(Thread.java:834){code}
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