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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/03/18 12:46:59 UTC
Build failed in Jenkins: beam_PerformanceTests_xlang_KafkaIO_Python #99
See <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/99/display/redirect>
Changes:
------------------------------------------
[...truncated 125.72 KB...]
at org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:116)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:44:37.035Z: JOB_MESSAGE_ERROR: java.lang.IllegalStateException: Last attempted offset should not be null. No work was claimed in non-empty range [100000000, 9223372036854775807).
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:588)
at org.apache.beam.sdk.transforms.splittabledofn.OffsetRangeTracker.checkDone(OffsetRangeTracker.java:113)
at org.apache.beam.sdk.fn.splittabledofn.RestrictionTrackers$RestrictionTrackerObserver.checkDone(RestrictionTrackers.java:80)
at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100)
at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:142)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:656)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:651)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:313)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:245)
at org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213)
at org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158)
at org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537)
at org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:151)
at org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:116)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:44:37.133Z: JOB_MESSAGE_ERROR: java.lang.IllegalStateException: Last attempted offset should not be null. No work was claimed in non-empty range [100000000, 9223372036854775807).
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:588)
at org.apache.beam.sdk.transforms.splittabledofn.OffsetRangeTracker.checkDone(OffsetRangeTracker.java:113)
at org.apache.beam.sdk.fn.splittabledofn.RestrictionTrackers$RestrictionTrackerObserver.checkDone(RestrictionTrackers.java:80)
at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100)
at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:142)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:656)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:651)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:313)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:245)
at org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213)
at org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158)
at org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537)
at org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:151)
at org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:116)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:44:37.222Z: JOB_MESSAGE_ERROR: java.lang.IllegalStateException: Last attempted offset should not be null. No work was claimed in non-empty range [100000000, 9223372036854775807).
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:588)
at org.apache.beam.sdk.transforms.splittabledofn.OffsetRangeTracker.checkDone(OffsetRangeTracker.java:113)
at org.apache.beam.sdk.fn.splittabledofn.RestrictionTrackers$RestrictionTrackerObserver.checkDone(RestrictionTrackers.java:80)
at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100)
at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:142)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:656)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:651)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:313)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:245)
at org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213)
at org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158)
at org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537)
at org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:151)
at org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:116)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:44:37.289Z: JOB_MESSAGE_BASIC: Finished operation external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/ProcessElementAndRestrictionWithSizing+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/KafkaIO.ReadSourceDescriptors/MapElements/Map/ParMultiDo(Anonymous)+ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous)+Count records+Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:44:37.365Z: JOB_MESSAGE_DEBUG: Executing failure step failure9
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:44:37.392Z: JOB_MESSAGE_ERROR: Workflow failed. Causes: S02:external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/ProcessElementAndRestrictionWithSizing+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/KafkaIO.ReadSourceDescriptors/MapElements/Map/ParMultiDo(Anonymous)+ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous)+Count records+Measure time 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. If the logs only contain generic timeout errors related to accessing external resources, such as MongoDB, verify that the **** service account has permission to access the resource's subnetwork. For more information, see https://cloud.google.com/dataflow/docs/guides/common-errors. The work item was attempted on these ****s:
Root cause: java.lang.IllegalStateException: Last attempted offset should not be null. No work was claimed in non-empty range [100000000, 9223372036854775807).
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:588)
at org.apache.beam.sdk.transforms.splittabledofn.OffsetRangeTracker.checkDone(OffsetRangeTracker.java:113)
at org.apache.beam.sdk.fn.splittabledofn.RestrictionTrackers$RestrictionTrackerObserver.checkDone(RestrictionTrackers.java:80)
at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100)
at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:142)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:656)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:651)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:313)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:245)
at org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213)
at org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158)
at org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537)
at org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:151)
at org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:116)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Worker ID: beamapp-jenkins-031812262-03180526-pk5b-harness-dvvn,
Root cause: java.lang.IllegalStateException: Last attempted offset should not be null. No work was claimed in non-empty range [100000000, 9223372036854775807).
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:588)
at org.apache.beam.sdk.transforms.splittabledofn.OffsetRangeTracker.checkDone(OffsetRangeTracker.java:113)
at org.apache.beam.sdk.fn.splittabledofn.RestrictionTrackers$RestrictionTrackerObserver.checkDone(RestrictionTrackers.java:80)
at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100)
at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:142)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:656)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:651)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:313)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:245)
at org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213)
at org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158)
at org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537)
at org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:151)
at org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:116)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Worker ID: beamapp-jenkins-031812262-03180526-pk5b-harness-dvvn,
Root cause: java.lang.IllegalStateException: Last attempted offset should not be null. No work was claimed in non-empty range [100000000, 9223372036854775807).
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:588)
at org.apache.beam.sdk.transforms.splittabledofn.OffsetRangeTracker.checkDone(OffsetRangeTracker.java:113)
at org.apache.beam.sdk.fn.splittabledofn.RestrictionTrackers$RestrictionTrackerObserver.checkDone(RestrictionTrackers.java:80)
at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100)
at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:142)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:656)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:651)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:313)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:245)
at org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213)
at org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158)
at org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537)
at org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:151)
at org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:116)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Worker ID: beamapp-jenkins-031812262-03180526-pk5b-harness-dvvn,
Root cause: java.lang.IllegalStateException: Last attempted offset should not be null. No work was claimed in non-empty range [100000000, 9223372036854775807).
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:588)
at org.apache.beam.sdk.transforms.splittabledofn.OffsetRangeTracker.checkDone(OffsetRangeTracker.java:113)
at org.apache.beam.sdk.fn.splittabledofn.RestrictionTrackers$RestrictionTrackerObserver.checkDone(RestrictionTrackers.java:80)
at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100)
at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:142)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:656)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:651)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:313)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:245)
at org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213)
at org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158)
at org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537)
at org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:151)
at org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:116)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Worker ID: beamapp-jenkins-031812262-03180526-pk5b-harness-dvvn
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:44:37.465Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:44:37.519Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:44:37.548Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:46:48.332Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 5 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:46:48.385Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-18T12:46:48.419Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-18_05_26_25-8083697451197775829 is in state JOB_STATE_FAILED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-03-18_05_26_25-8083697451197775829?project=<ProjectId>
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 139, in <module>
getattr(sys.modules[__name__], test_options.test_class)().run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 64, in run
read_test.run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1558, in wait_until_finish
self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error:
java.lang.IllegalStateException: Last attempted offset should not be null. No work was claimed in non-empty range [100000000, 9223372036854775807).
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:588)
at org.apache.beam.sdk.transforms.splittabledofn.OffsetRangeTracker.checkDone(OffsetRangeTracker.java:113)
at org.apache.beam.sdk.fn.splittabledofn.RestrictionTrackers$RestrictionTrackerObserver.checkDone(RestrictionTrackers.java:80)
at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100)
at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:142)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:656)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:651)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:313)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:245)
at org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213)
at org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158)
at org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537)
at org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:151)
at org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:116)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --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 51m 4s
15 actionable tasks: 5 executed, 10 up-to-date
Publishing build scan...
https://gradle.com/s/hcmmjqeu4qako
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_PerformanceTests_xlang_KafkaIO_Python #100
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/100/display/redirect>
Changes:
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INFO:apache_beam.utils.subprocess_server:Mar 19, 2023 11:55:40 AM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Write$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.runners.dataflow.dataflow_runner:Automatically enabling Dataflow Runner V2 since the pipeline used cross-language transforms.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-0319115543-534717-56sflvd6.1679226943.535035/beam-sdks-java-io-expansion-service-2.47.0-SNAPSHOT-cGeHlh9eyoq3cqvkXmDyXVYOLYP3iCO2ribK2aMVcnI.jar in 2 seconds.
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-0319115543-534717-56sflvd6.1679226943.535035/pipeline.pb in 0 seconds.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.018Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.043Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.106Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.146Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Avoid Fusion/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.195Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.221Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.253Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.279Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate records/Map(<lambda at iobase.py:908>) into Generate records/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.299Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Generate records/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.319Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.343Z: JOB_MESSAGE_DETAILED: Fusing consumer Count records into ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.367Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/AddRandomKeys into Count records
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.387Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/ReshufflePerKey/Map(reify_timestamps) into Avoid Fusion/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.412Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/ReshufflePerKey/GroupByKey/Reify into Avoid Fusion/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.432Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/ReshufflePerKey/GroupByKey/Write into Avoid Fusion/ReshufflePerKey/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.453Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/ReshufflePerKey/GroupByKey/GroupByWindow into Avoid Fusion/ReshufflePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.475Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/ReshufflePerKey/FlatMap(restore_timestamps) into Avoid Fusion/ReshufflePerKey/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.499Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/RemoveRandomKeys into Avoid Fusion/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.521Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Avoid Fusion/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.542Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous) into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.563Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter) into WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.609Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.628Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.651Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.681Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.840Z: JOB_MESSAGE_DEBUG: Executing wait step start20
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.898Z: JOB_MESSAGE_BASIC: Executing operation Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.936Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:55:53.965Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-19_04_55_46-10404120417669153169 is in state JOB_STATE_RUNNING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:56:31.783Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T11:58:11.090Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:02:19.451Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:02:21.136Z: JOB_MESSAGE_BASIC: Finished operation Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:02:21.237Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:02:21.322Z: JOB_MESSAGE_BASIC: Executing operation Avoid Fusion/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:02:23.116Z: JOB_MESSAGE_BASIC: Finished operation Avoid Fusion/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:02:23.214Z: JOB_MESSAGE_DEBUG: Value "Avoid Fusion/ReshufflePerKey/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:02:23.282Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Count records+Avoid Fusion/AddRandomKeys+Avoid Fusion/ReshufflePerKey/Map(reify_timestamps)+Avoid Fusion/ReshufflePerKey/GroupByKey/Reify+Avoid Fusion/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:16:03.676Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Count records+Avoid Fusion/AddRandomKeys+Avoid Fusion/ReshufflePerKey/Map(reify_timestamps)+Avoid Fusion/ReshufflePerKey/GroupByKey/Reify+Avoid Fusion/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:16:03.781Z: JOB_MESSAGE_BASIC: Executing operation Avoid Fusion/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:16:03.923Z: JOB_MESSAGE_BASIC: Finished operation Avoid Fusion/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:16:03.986Z: JOB_MESSAGE_BASIC: Executing operation Avoid Fusion/ReshufflePerKey/GroupByKey/Read+Avoid Fusion/ReshufflePerKey/GroupByKey/GroupByWindow+Avoid Fusion/ReshufflePerKey/FlatMap(restore_timestamps)+Avoid Fusion/RemoveRandomKeys+Measure time+WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)+WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:22:12.093Z: JOB_MESSAGE_BASIC: Finished operation Avoid Fusion/ReshufflePerKey/GroupByKey/Read+Avoid Fusion/ReshufflePerKey/GroupByKey/GroupByWindow+Avoid Fusion/ReshufflePerKey/FlatMap(restore_timestamps)+Avoid Fusion/RemoveRandomKeys+Measure time+WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)+WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:22:12.155Z: JOB_MESSAGE_DEBUG: Executing success step success18
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:22:12.239Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:22:12.295Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:22:12.325Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:22.173Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 5 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:22.230Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:22.257Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-19_04_55_46-10404120417669153169 is in state JOB_STATE_DONE
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: 190c2730397448a5a24562bd0366f771 and timestamp: 1679228669.0245152:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: write_count_records_total_messages Value: 100000000
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: write_runtime Value: 367
INFO:apache_beam.utils.subprocess_server:Using pre-built snapshot at <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.47.0-SNAPSHOT.jar>
INFO:root:Starting a JAR-based expansion service from JAR <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.47.0-SNAPSHOT.jar>
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.47.0-SNAPSHOT.jar'> '42753' '--filesToStage=<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.47.0-SNAPSHOT.jar']>
INFO:apache_beam.utils.subprocess_server:Starting expansion service at localhost:42753
INFO:apache_beam.utils.subprocess_server:Mar 19, 2023 12:24:30 PM org.apache.beam.sdk.expansion.service.ExpansionService loadRegisteredTransforms
INFO:apache_beam.utils.subprocess_server:INFO: Registering external transforms: [beam:transform:org.apache.beam:kafka_read_with_metadata:v1, beam:transform:org.apache.beam:kafka_read_without_metadata:v1, beam:transform:org.apache.beam:kafka_write:v1, beam:external:java:generate_sequence:v1]
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered transforms:
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_with_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@e50a6f6
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_without_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@14ec4505
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_write:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@53ca01a2
INFO:apache_beam.utils.subprocess_server: beam:external:java:generate_sequence:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@358c99f5
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered SchemaTransformProviders:
INFO:apache_beam.utils.subprocess_server: beam:schematransform:org.apache.beam:kafka_read:v1
INFO:apache_beam.utils.subprocess_server: beam:schematransform:org.apache.beam:kafka_write:v1
INFO:apache_beam.utils.subprocess_server:Mar 19, 2023 12:24:31 PM org.apache.beam.sdk.expansion.service.ExpansionService expand
INFO:apache_beam.utils.subprocess_server:INFO: Expanding 'ReadFromKafka' with URN 'beam:transform:org.apache.beam:kafka_read_without_metadata:v1'
INFO:apache_beam.utils.subprocess_server:Mar 19, 2023 12:24:32 PM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Read$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.utils.subprocess_server:Mar 19, 2023 12:24:32 PM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Read$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.runners.dataflow.dataflow_runner:Automatically enabling Dataflow Runner V2 since the pipeline used cross-language transforms.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.47.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7fb0f4481440> ====================
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INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-0319122435-316465-qixj6f8m.1679228675.316834/beam-sdks-java-io-expansion-service-2.47.0-SNAPSHOT-cGeHlh9eyoq3cqvkXmDyXVYOLYP3iCO2ribK2aMVcnI.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-0319122435-316465-qixj6f8m.1679228675.316834/beam-sdks-java-io-expansion-service-2.47.0-SNAPSHOT-cGeHlh9eyoq3cqvkXmDyXVYOLYP3iCO2ribK2aMVcnI.jar in 2 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-0319122435-316465-qixj6f8m.1679228675.316834/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-0319122435-316465-qixj6f8m.1679228675.316834/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-0319122435-316465-qixj6f8m.1679228675.316834/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-0319122435-316465-qixj6f8m.1679228675.316834/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230319122435317955-8470'
createTime: '2023-03-19T12:24:38.640685Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-03-19_05_24_38-17310498042071246757'
location: 'us-central1'
name: 'beamapp-jenkins-0319122435-316465-qixj6f8m'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-03-19T12:24:38.640685Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-03-19_05_24_38-17310498042071246757]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-03-19_05_24_38-17310498042071246757
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-03-19_05_24_38-17310498042071246757?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-19_05_24_38-17310498042071246757 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:42.649Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:43.809Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:43.844Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:43.896Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:43.924Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:43.960Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.001Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.025Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/ParDo(GenerateKafkaSourceDescriptor)/ParMultiDo(GenerateKafkaSourceDescriptor) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.049Z: JOB_MESSAGE_DETAILED: Fusing consumer external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/PairWithRestriction into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/ParDo(GenerateKafkaSourceDescriptor)/ParMultiDo(GenerateKafkaSourceDescriptor)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.083Z: JOB_MESSAGE_DETAILED: Fusing consumer external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/SplitWithSizing into external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.106Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/KafkaIO.ReadSourceDescriptors/MapElements/Map/ParMultiDo(Anonymous) into external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.138Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/KafkaIO.ReadSourceDescriptors/MapElements/Map/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.166Z: JOB_MESSAGE_DETAILED: Fusing consumer Count records into ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.219Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Count records
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.252Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.280Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.306Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.329Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.456Z: JOB_MESSAGE_DEBUG: Executing wait step start10
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.523Z: JOB_MESSAGE_BASIC: Executing operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/Impulse+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/ParDo(GenerateKafkaSourceDescriptor)/ParMultiDo(GenerateKafkaSourceDescriptor)+external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/PairWithRestriction+external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.572Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:24:44.604Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-19_05_24_38-17310498042071246757 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:25:21.154Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:25:34.096Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:27:18.608Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:31:46.831Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:31:51.064Z: JOB_MESSAGE_BASIC: Finished operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/Impulse+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/ParDo(GenerateKafkaSourceDescriptor)/ParMultiDo(GenerateKafkaSourceDescriptor)+external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/PairWithRestriction+external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:31:51.124Z: JOB_MESSAGE_DEBUG: Value "external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:31:51.171Z: JOB_MESSAGE_BASIC: Executing operation external_2ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbo/ProcessElementAndRestrictionWithSizing+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaSDF/KafkaIO.ReadSourceDescriptors/MapElements/Map/ParMultiDo(Anonymous)+ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous)+Count records+Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-19T12:36:13.785Z: JOB_MESSAGE_ERROR: java.lang.IllegalStateException: Last attempted offset should not be null. No work was claimed in non-empty range [99998575, 9223372036854775807).
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:588)
at org.apache.beam.sdk.transforms.splittabledofn.OffsetRangeTracker.checkDone(OffsetRangeTracker.java:113)
at org.apache.beam.sdk.fn.splittabledofn.RestrictionTrackers$RestrictionTrackerObserver.checkDone(RestrictionTrackers.java:80)
at org.apache.beam.fn.harness.FnApiDoFnRunner.processElementForWindowObservingSizedElementAndRestriction(FnApiDoFnRunner.java:1100)
at org.apache.beam.fn.harness.FnApiDoFnRunner.access$1500(FnApiDoFnRunner.java:142)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:656)
at org.apache.beam.fn.harness.FnApiDoFnRunner$4.accept(FnApiDoFnRunner.java:651)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:313)
at org.apache.beam.fn.harness.data.PCollectionConsumerRegistry$MetricTrackingFnDataReceiver.accept(PCollectionConsumerRegistry.java:245)
at org.apache.beam.fn.harness.BeamFnDataReadRunner.forwardElementToConsumer(BeamFnDataReadRunner.java:213)
at org.apache.beam.sdk.fn.data.BeamFnDataInboundObserver.multiplexElements(BeamFnDataInboundObserver.java:158)
at org.apache.beam.fn.harness.control.ProcessBundleHandler.processBundle(ProcessBundleHandler.java:537)
at org.apache.beam.fn.harness.control.BeamFnControlClient.delegateOnInstructionRequestType(BeamFnControlClient.java:151)
at org.apache.beam.fn.harness.control.BeamFnControlClient$InboundObserver.lambda$onNext$0(BeamFnControlClient.java:116)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at org.apache.beam.sdk.util.UnboundedScheduledExecutorService$ScheduledFutureTask.run(UnboundedScheduledExecutorService.java:163)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2023-03-19_05_24_38-17310498042071246757 after 1501 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: 5e7383a08b8a4bb1ac176b5e98db59c9 and timestamp: 1679230185.159959:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: read_count_records_total_messages Value: 99998575
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: read_runtime Value: 292
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 139, in <module>
getattr(sys.modules[__name__], test_options.test_class)().run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 64, in run
read_test.run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 156, in run
self.cleanup()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 121, in cleanup
assert total_messages == self.input_options['num_records']
AssertionError
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_Python/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --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 55m 29s
15 actionable tasks: 5 executed, 10 up-to-date
Publishing build scan...
https://gradle.com/s/tgwua4rzayhqs
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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