See
<https://ci-beam.apache.org/job/beam_BiqQueryIO_Streaming_Performance_Test_Java/4434/display/redirect>
Changes:
------------------------------------------
[...truncated 426.62 KB...]
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:148)
at
org.apache.beam.sdk.bigqueryioperftests.BigQueryIOIT$$Lambda$160/1230564699.apply(Unknown
Source)
at
org.apache.beam.sdk.io.gcp.bigquery.BatchedStreamingWrite$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$1.processElement(ReshuffleOverrideFactory.java:86)
Oct 26, 2022 11:35:04 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-10-26T23:35:03.914Z: An OutOfMemoryException occurred.
Consider specifying higher memory instances in PipelineOptions.
java.lang.OutOfMemoryError: GC overhead limit exceeded
at
org.apache.beam.sdk.coders.ByteArrayCoder.decode(ByteArrayCoder.java:107)
at
org.apache.beam.sdk.coders.ByteArrayCoder.decode(ByteArrayCoder.java:95)
at
org.apache.beam.sdk.coders.ByteArrayCoder.decode(ByteArrayCoder.java:41)
at
org.apache.beam.sdk.io.gcp.bigquery.TableRowInfoCoder.decode(TableRowInfoCoder.java:64)
at
org.apache.beam.sdk.io.gcp.bigquery.TableRowInfoCoder.decode(TableRowInfoCoder.java:30)
at
org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:621)
at
org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:558)
at
org.apache.beam.sdk.util.CoderUtils.decodeFromByteString(CoderUtils.java:126)
at
org.apache.beam.sdk.util.CoderUtils.decodeFromByteString(CoderUtils.java:116)
at
org.apache.beam.runners.dataflow.****.GroupingShuffleReader$GroupingShuffleReaderIterator$ValuesIterator.next(GroupingShuffleReader.java:468)
at
org.apache.beam.runners.dataflow.****.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:55)
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$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Oct 26, 2022 11:35:06 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-10-26T23:35:04.737Z: An OutOfMemoryException occurred.
Consider specifying higher memory instances in PipelineOptions.
java.lang.OutOfMemoryError: GC overhead limit exceeded
at
org.apache.beam.sdk.coders.ByteArrayCoder.decode(ByteArrayCoder.java:107)
at
org.apache.beam.sdk.coders.ByteArrayCoder.decode(ByteArrayCoder.java:95)
at
org.apache.beam.sdk.coders.ByteArrayCoder.decode(ByteArrayCoder.java:41)
at
org.apache.beam.sdk.io.gcp.bigquery.TableRowInfoCoder.decode(TableRowInfoCoder.java:64)
at
org.apache.beam.sdk.io.gcp.bigquery.TableRowInfoCoder.decode(TableRowInfoCoder.java:30)
at
org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:621)
at
org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:558)
at
org.apache.beam.sdk.util.CoderUtils.decodeFromByteString(CoderUtils.java:126)
at
org.apache.beam.sdk.util.CoderUtils.decodeFromByteString(CoderUtils.java:116)
at
org.apache.beam.runners.dataflow.****.GroupingShuffleReader$GroupingShuffleReaderIterator$ValuesIterator.next(GroupingShuffleReader.java:468)
at
org.apache.beam.runners.dataflow.****.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:55)
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$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Oct 26, 2022 11:35:10 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-10-26T23:35:09.203Z: An OutOfMemoryException occurred.
Consider specifying higher memory instances in PipelineOptions.
java.lang.OutOfMemoryError: GC overhead limit exceeded
Oct 26, 2022 11:36:01 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-10-26T23:36:00.101Z: An OutOfMemoryException occurred.
Consider specifying higher memory instances in PipelineOptions.
java.lang.OutOfMemoryError: GC overhead limit exceeded
at
org.apache.beam.sdk.util.StreamUtils.getBytesWithoutClosing(StreamUtils.java:47)
at
org.apache.beam.sdk.coders.StringUtf8Coder.decode(StringUtf8Coder.java:96)
at
org.apache.beam.sdk.io.gcp.bigquery.TableRowInfoCoder.decode(TableRowInfoCoder.java:64)
at
org.apache.beam.sdk.io.gcp.bigquery.TableRowInfoCoder.decode(TableRowInfoCoder.java:30)
at
org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:621)
at
org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.decode(WindowedValue.java:558)
at
org.apache.beam.sdk.util.CoderUtils.decodeFromByteString(CoderUtils.java:126)
at
org.apache.beam.sdk.util.CoderUtils.decodeFromByteString(CoderUtils.java:116)
at
org.apache.beam.runners.dataflow.****.GroupingShuffleReader$GroupingShuffleReaderIterator$ValuesIterator.next(GroupingShuffleReader.java:468)
at
org.apache.beam.runners.dataflow.****.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:55)
at
org.apache.beam.runners.dataflow.****.util.BatchGroupAlsoByWindowReshuffleFn.processElement(BatchGroupAlsoByWindowReshuffleFn.java:39)
at
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:121)
at
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
at
org.apache.beam.runners.dataflow.****.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:117)
at
org.apache.beam.runners.dataflow.****.util.common.****.ParDoOperation.process(ParDoOperation.java:44)
at
org.apache.beam.runners.dataflow.****.util.common.****.OutputReceiver.process(OutputReceiver.java:49)
at
org.apache.beam.runners.dataflow.****.util.common.****.ReadOperation.runReadLoop(ReadOperation.java:218)
at
org.apache.beam.runners.dataflow.****.util.common.****.ReadOperation.start(ReadOperation.java:169)
at
org.apache.beam.runners.dataflow.****.util.common.****.MapTaskExecutor.execute(MapTaskExecutor.java:83)
at
org.apache.beam.runners.dataflow.****.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:420)
at
org.apache.beam.runners.dataflow.****.BatchDataflowWorker.doWork(BatchDataflowWorker.java:389)
at
org.apache.beam.runners.dataflow.****.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:314)
at
org.apache.beam.runners.dataflow.****.DataflowBatchWorkerHarness$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)
Oct 26, 2022 11:38:46 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-10-26T23:38:44.921Z: Autoscaling: Raised the number of ****s to
5 based on the rate of progress in the currently running stage(s).
Oct 26, 2022 11:38:58 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-10-26T23:38:56.564Z: 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 26, 2022 11:38:58 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-10-26T23:38:56.640Z: Workflow failed. Causes: S04:Write to
BQ/StreamingInserts/StreamingWriteTables/Reshuffle/GroupByKey/Read+Write to
BQ/StreamingInserts/StreamingWriteTables/Reshuffle/GroupByKey/GroupByWindow+Write
to BQ/StreamingInserts/StreamingWriteTables/Reshuffle/ExpandIterable+Write to
BQ/StreamingInserts/StreamingWriteTables/GlobalWindow/Window.Assign+Write to
BQ/StreamingInserts/StreamingWriteTables/StripShardId/Map+Write to
BQ/StreamingInserts/StreamingWriteTables/StreamingWrite/BatchedStreamingWrite.ViaBundleFinalization/ParMultiDo(BatchAndInsertElements)
failed., The job failed because a work item has failed 4 times. Look in
previous log entries for the cause of each one of the 4 failures. For more
information, see https://cloud.google.com/dataflow/docs/guides/common-errors.
The work item was attempted on these ****s:
testpipeline-jenkins-1026-10261625-wx84-harness-mpcn
Root cause: The **** lost contact with the service.,
testpipeline-jenkins-1026-10261625-wx84-harness-mpcn
Root cause: Work item failed.,
testpipeline-jenkins-1026-10261625-wx84-harness-mpcn
Root cause: Work item failed.,
testpipeline-jenkins-1026-10261625-wx84-harness-km8p
Root cause: The **** lost contact with the service.
Oct 26, 2022 11:38:58 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-10-26T23:38:56.700Z: Cleaning up.
Oct 26, 2022 11:38:58 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-10-26T23:38:56.755Z: Stopping **** pool...
Oct 26, 2022 11:41:10 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-10-26T23:41:08.783Z: Autoscaling: Resized **** pool from 5 to 0.
Oct 26, 2022 11:41:10 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-10-26T23:41:08.856Z: Worker pool stopped.
Oct 26, 2022 11:41:15 PM
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-10-26_16_25_24-15403719876961003632 failed with status
FAILED.
org.apache.beam.sdk.bigqueryioperftests.BigQueryIOIT > testWriteThenRead
STANDARD_OUT
Load test results for test (ID): af3b1c78-44f8-442e-9ffe-531a561c0372 and
timestamp: 2022-10-26T23:25:10.988000000Z:
Metric: Value:
write_time 30.686
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:192)
at
org.apache.beam.sdk.bigqueryioperftests.BigQueryIOIT.testJsonWrite(BigQueryIOIT.java:151)
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 (0.026 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 (0.033 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 7,5,main]) completed. Took 16 mins 6.31 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 16m 37s
137 actionable tasks: 82 executed, 53 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/cksnyazkiilvy
Stopped 1 **** daemon(s).
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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