Balázs Németh created BEAM-14544:
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Summary: 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
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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