Unable to drain pipelines due to seemingly irrelevant timestamp shift validation

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(...)

 
```

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)
```

Imported from Jira [BEAM-14544](https://issues.apache.org/jira/browse/BEAM-14544). Original Jira may contain additional context.
Reported by: bnemeth.