See 
<https://ci-beam.apache.org/job/beam_BiqQueryIO_Streaming_Performance_Test_Java/4440/display/redirect>

Changes:


------------------------------------------
[...truncated 380.62 KB...]
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn.processElement(SimpleParDoFn.java:340)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn$1.output(SimpleParDoFn.java:285)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:275)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:85)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:423)
        at 
org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:76)
        at 
org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:142)
        at 
org.apache.beam.sdk.transforms.MapElements$1$DoFnInvoker.invokeProcessElement(Unknown
 Source)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:211)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:188)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn.processElement(SimpleParDoFn.java:340)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.AssignWindowsParDoFnFactory$AssignWindowsParDoFn.processElement(AssignWindowsParDoFnFactory.java:115)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn$1.output(SimpleParDoFn.java:285)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:275)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:85)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:423)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:411)
        at 
org.apache.beam.runners.dataflow.ReshuffleOverrideFactory$ReshuffleWithOnlyTrigger$1.processElement(ReshuffleOverrideFactory.java:86)
        at 
org.apache.beam.runners.dataflow.ReshuffleOverrideFactory$ReshuffleWithOnlyTrigger$1$DoFnInvoker.invokeProcessElement(Unknown
 Source)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:211)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:188)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn.processElement(SimpleParDoFn.java:340)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:185)
        ... 22 more
    Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
        at java.util.Base64$Encoder.encode(Base64.java:262)
        at java.util.Base64$Encoder.encodeToString(Base64.java:315)
        at 
org.apache.beam.sdk.bigqueryioperftests.BigQueryIOIT.lambda$testJsonWrite$519c2e7c$1(BigQueryIOIT.java:149)
        at 
org.apache.beam.sdk.bigqueryioperftests.BigQueryIOIT$$Lambda$160/1444261924.apply(Unknown
 Source)
        at 
org.apache.beam.sdk.io.gcp.bigquery.BatchedStreamingWrite$BatchAndInsertElements.processElement(BatchedStreamingWrite.java:264)
        at 
org.apache.beam.sdk.io.gcp.bigquery.BatchedStreamingWrite$BatchAndInsertElements$DoFnInvoker.invokeProcessElement(Unknown
 Source)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:211)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:185)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn.processElement(SimpleParDoFn.java:340)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn$1.output(SimpleParDoFn.java:285)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:275)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:85)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:423)
        at 
org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:76)
        at 
org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:142)
        at 
org.apache.beam.sdk.transforms.MapElements$1$DoFnInvoker.invokeProcessElement(Unknown
 Source)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:211)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:188)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn.processElement(SimpleParDoFn.java:340)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.AssignWindowsParDoFnFactory$AssignWindowsParDoFn.processElement(AssignWindowsParDoFnFactory.java:115)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn$1.output(SimpleParDoFn.java:285)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:275)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:85)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:423)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:411)
        at 
org.apache.beam.runners.dataflow.ReshuffleOverrideFactory$ReshuffleWithOnlyTrigger$1.processElement(ReshuffleOverrideFactory.java:86)

    Oct 27, 2022 5:46:18 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    SEVERE: 2022-10-27T17:46:18.120Z: An OutOfMemoryException occurred. 
Consider specifying higher memory instances in PipelineOptions.
    java.lang.RuntimeException: java.lang.OutOfMemoryError: GC overhead limit 
exceeded
        at 
org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$DatasetServiceImpl.insertAll(BigQueryServicesImpl.java:1191)
        at 
org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$DatasetServiceImpl.insertAll(BigQueryServicesImpl.java:1250)
        at 
org.apache.beam.sdk.io.gcp.bigquery.BatchedStreamingWrite.flushRows(BatchedStreamingWrite.java:403)
        at 
org.apache.beam.sdk.io.gcp.bigquery.BatchedStreamingWrite.access$900(BatchedStreamingWrite.java:67)
        at 
org.apache.beam.sdk.io.gcp.bigquery.BatchedStreamingWrite$BatchAndInsertElements.finishBundle(BatchedStreamingWrite.java:286)
    Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded

    Oct 27, 2022 5:46:19 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    SEVERE: 2022-10-27T17:46:19.654Z: An OutOfMemoryException occurred. 
Consider specifying higher memory instances in PipelineOptions.
    java.lang.RuntimeException: org.apache.beam.sdk.util.UserCodeException: 
java.lang.OutOfMemoryError: GC overhead limit exceeded
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:187)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:108)
        at 
org.apache.beam.runners.dataflow.****.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:56)
        at 
org.apache.beam.runners.dataflow.****.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:39)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:121)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:117)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ReadOperation.runReadLoop(ReadOperation.java:218)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ReadOperation.start(ReadOperation.java:169)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.MapTaskExecutor.execute(MapTaskExecutor.java:83)
        at 
org.apache.beam.runners.dataflow.****.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:420)
        at 
org.apache.beam.runners.dataflow.****.BatchDataflowWorker.doWork(BatchDataflowWorker.java:389)
        at 
org.apache.beam.runners.dataflow.****.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:314)
        at 
org.apache.beam.runners.dataflow.****.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:140)
        at 
org.apache.beam.runners.dataflow.****.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:120)
        at 
org.apache.beam.runners.dataflow.****.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:107)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at 
org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:162)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
        Suppressed: org.apache.beam.sdk.util.UserCodeException: 
java.lang.OutOfMemoryError: GC overhead limit exceeded
                at 
org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:39)
                at 
org.apache.beam.sdk.io.gcp.bigquery.BatchedStreamingWrite$BatchAndInsertElements$DoFnInvoker.invokeTeardown(Unknown
 Source)
                at 
org.apache.beam.runners.dataflow.****.DoFnInstanceManagers$ConcurrentQueueInstanceManager.abort(DoFnInstanceManagers.java:100)
                at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn.abort(SimpleParDoFn.java:443)
                at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.abort(ParDoOperation.java:64)
                at 
org.apache.beam.runners.dataflow.****.util.common.****.MapTaskExecutor.execute(MapTaskExecutor.java:100)
                ... 11 more
        Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
    Caused by: org.apache.beam.sdk.util.UserCodeException: 
java.lang.OutOfMemoryError: GC overhead limit exceeded
        at 
org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:39)
        at 
org.apache.beam.sdk.transforms.MapElements$1$DoFnInvoker.invokeProcessElement(Unknown
 Source)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:211)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:188)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn.processElement(SimpleParDoFn.java:340)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.AssignWindowsParDoFnFactory$AssignWindowsParDoFn.processElement(AssignWindowsParDoFnFactory.java:115)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn$1.output(SimpleParDoFn.java:285)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:275)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:85)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:423)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:411)
        at 
org.apache.beam.runners.dataflow.ReshuffleOverrideFactory$ReshuffleWithOnlyTrigger$1.processElement(ReshuffleOverrideFactory.java:86)
        at 
org.apache.beam.runners.dataflow.ReshuffleOverrideFactory$ReshuffleWithOnlyTrigger$1$DoFnInvoker.invokeProcessElement(Unknown
 Source)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:211)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:188)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn.processElement(SimpleParDoFn.java:340)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:185)
        ... 22 more
    Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
        at 
org.apache.beam.sdk.util.WindowedValue$ValueInGlobalWindow.withValue(WindowedValue.java:263)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:423)
        at 
org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.output(DoFnOutputReceivers.java:76)
        at 
org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:142)
        at 
org.apache.beam.sdk.transforms.MapElements$1$DoFnInvoker.invokeProcessElement(Unknown
 Source)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:211)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:188)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn.processElement(SimpleParDoFn.java:340)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.AssignWindowsParDoFnFactory$AssignWindowsParDoFn.processElement(AssignWindowsParDoFnFactory.java:115)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn$1.output(SimpleParDoFn.java:285)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:275)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:85)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:423)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.output(SimpleDoFnRunner.java:411)
        at 
org.apache.beam.runners.dataflow.ReshuffleOverrideFactory$ReshuffleWithOnlyTrigger$1.processElement(ReshuffleOverrideFactory.java:86)
        at 
org.apache.beam.runners.dataflow.ReshuffleOverrideFactory$ReshuffleWithOnlyTrigger$1$DoFnInvoker.invokeProcessElement(Unknown
 Source)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:211)
        at 
org.apache.beam.runners.dataflow.****.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:188)
        at 
org.apache.beam.runners.dataflow.****.SimpleParDoFn.processElement(SimpleParDoFn.java:340)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
        at 
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:185)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:108)
        at 
org.apache.beam.runners.dataflow.****.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:56)
        at 
org.apache.beam.runners.dataflow.****.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:39)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:121)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
        at 
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:117)

    Oct 27, 2022 5:50:26 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-10-27T17:50:26.135Z: Finished operation Write to 
BQ/StreamingInserts/StreamingWriteTables/Reshuffle/GroupByKey/Read+Write to 
BQ/StreamingInserts/StreamingWriteTables/Reshuffle/GroupByKey/GroupByWindow+Write
 to BQ/StreamingInserts/StreamingWriteTables/Reshuffle/ExpandIterable+Write to 
BQ/StreamingInserts/StreamingWriteTables/GlobalWindow/Window.Assign+Write to 
BQ/StreamingInserts/StreamingWriteTables/StripShardId/Map+Write to 
BQ/StreamingInserts/StreamingWriteTables/StreamingWrite/BatchedStreamingWrite.ViaBundleFinalization/ParMultiDo(BatchAndInsertElements)
    Oct 27, 2022 5:50:26 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    SEVERE: 2022-10-27T17:50:26.224Z: Workflow failed. Causes: S04:Write to 
BQ/StreamingInserts/StreamingWriteTables/Reshuffle/GroupByKey/Read+Write to 
BQ/StreamingInserts/StreamingWriteTables/Reshuffle/GroupByKey/GroupByWindow+Write
 to BQ/StreamingInserts/StreamingWriteTables/Reshuffle/ExpandIterable+Write to 
BQ/StreamingInserts/StreamingWriteTables/GlobalWindow/Window.Assign+Write to 
BQ/StreamingInserts/StreamingWriteTables/StripShardId/Map+Write to 
BQ/StreamingInserts/StreamingWriteTables/StreamingWrite/BatchedStreamingWrite.ViaBundleFinalization/ParMultiDo(BatchAndInsertElements)
 failed., The job failed because a work item has failed 4 times. Look in 
previous log entries for the cause of each one of the 4 failures. For more 
information, see https://cloud.google.com/dataflow/docs/guides/common-errors. 
The work item was attempted on these ****s: 

      testpipeline-jenkins-1027-10271031-2dip-harness-f6r9
          Root cause: Work item failed.,

      testpipeline-jenkins-1027-10271031-2dip-harness-f6r9
          Root cause: The **** lost contact with the service.,

      testpipeline-jenkins-1027-10271031-2dip-harness-k16g
          Root cause: The **** lost contact with the service.,

      testpipeline-jenkins-1027-10271031-2dip-harness-f6r9
          Root cause: The **** lost contact with the service.
    Oct 27, 2022 5:50:26 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-10-27T17:50:26.301Z: Cleaning up.
    Oct 27, 2022 5:50:26 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-10-27T17:50:26.380Z: Stopping **** pool...
    Oct 27, 2022 5:52:45 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-10-27T17:52:44.962Z: Autoscaling: Resized **** pool from 5 to 0.
    Oct 27, 2022 5:52:45 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-10-27T17:52:45.025Z: Worker pool stopped.
    Oct 27, 2022 5:52:52 PM 
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2022-10-27_10_31_39-9919525325400600105 failed with status FAILED.

org.apache.beam.sdk.bigqueryioperftests.BigQueryIOIT > testWriteThenRead 
STANDARD_OUT
    Load test results for test (ID): 97ee43f4-5575-4067-bccb-295175807743 and 
timestamp: 2022-10-27T17:31:23.824000000Z:
                     Metric:                    Value:
                  write_time                    49.743

org.apache.beam.sdk.bigqueryioperftests.BigQueryIOIT > testWriteThenRead FAILED
    java.lang.AssertionError: Values should be different. Actual: FAILED
        at org.junit.Assert.fail(Assert.java:89)
        at org.junit.Assert.failEquals(Assert.java:187)
        at org.junit.Assert.assertNotEquals(Assert.java:163)
        at org.junit.Assert.assertNotEquals(Assert.java:177)
        at 
org.apache.beam.sdk.bigqueryioperftests.BigQueryIOIT.testWrite(BigQueryIOIT.java:193)
        at 
org.apache.beam.sdk.bigqueryioperftests.BigQueryIOIT.testJsonWrite(BigQueryIOIT.java:152)
        at 
org.apache.beam.sdk.bigqueryioperftests.BigQueryIOIT.testWriteThenRead(BigQueryIOIT.java:136)

Gradle Test Executor 2 finished executing tests.

> Task :sdks:java:io:bigquery-io-perf-tests:integrationTest FAILED

1 test completed, 1 failed
Finished generating test XML results (0.024 secs) into: 
<https://ci-beam.apache.org/job/beam_BiqQueryIO_Streaming_Performance_Test_Java/ws/src/sdks/java/io/bigquery-io-perf-tests/build/test-results/integrationTest>
Generating HTML test report...
Finished generating test html results (0.03 secs) into: 
<https://ci-beam.apache.org/job/beam_BiqQueryIO_Streaming_Performance_Test_Java/ws/src/sdks/java/io/bigquery-io-perf-tests/build/reports/tests/integrationTest>
:sdks:java:io:bigquery-io-perf-tests:integrationTest (Thread[Execution **** 
Thread 6,5,main]) completed. Took 21 mins 31.083 secs.

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task 
':sdks:java:io:bigquery-io-perf-tests:integrationTest'.
> There were failing tests. See the report at: 
> file://<https://ci-beam.apache.org/job/beam_BiqQueryIO_Streaming_Performance_Test_Java/ws/src/sdks/java/io/bigquery-io-perf-tests/build/reports/tests/integrationTest/index.html>

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with 
Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings 
and determine if they come from your own scripts or plugins.

See 
https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 24m 51s
137 actionable tasks: 83 executed, 52 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/pjnjssiyurjqc

Stopped 1 **** daemon(s).
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to