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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/05/17 20:01:50 UTC
Build failed in Jenkins: beam_LoadTests_Python_SideInput_Dataflow_Batch #586
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/586/display/redirect?page=changes>
Changes:
[noreply] [BEAM-13015] Update the SDK harness grouping table to be memory bounded
[noreply] [BEAM-13982] Added output of logging for python E2E pytests (#17637)
[noreply] [BEAM-14473] Throw error if using globally windowed, unbounded side
[noreply] [BEAM-14440] Add basic fuzz tests to the coders package (#17587)
[noreply] [BEAM-14035 ] Implement BigQuerySchema Read/Write TransformProvider
[noreply] Add Akvelon to case-studies (#17611)
[noreply] Merge pull request #17520 from BEAM-12356 Close DatasetService leaked
[noreply] Adding eslint and lint configuration to TypeScript SDK (#17676)
[noreply] Update release-guide.md
[noreply] Update release-guide.md
[noreply] [BEAM-14411] Re-enable TypecodersTest, fix most issues (#17547)
[noreply] Merge pull request #17678 from [BEAM-14460] [Playground] WIP. Fix error
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:100 out of 10000 total elements in each window will be accessed.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220407
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220407" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7ffa90107e60> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7ffa90106680> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-9-0517100510.1652802904.470451/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-9-0517100510.1652802904.470451/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-9-0517100510.1652802904.470451/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-9-0517100510.1652802904.470451/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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createTime: '2022-05-17T15:55:05.708475Z'
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name: 'load-tests-python-dataflow-batch-sideinput-9-0517100510'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-17_08_55_05-5019473855042774752]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-17_08_55_05-5019473855042774752
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-17_08_55_05-5019473855042774752?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-17_08_55_05-5019473855042774752 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:09.189Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:10.641Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:10.846Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.021Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.050Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.104Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.138Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.185Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.238Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.267Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.305Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.329Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.376Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.413Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.446Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.482Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.673Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.762Z: JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.823Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:11.862Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-17_08_55_05-5019473855042774752 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:55:19.435Z: 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:2022-05-17T15:55:35.214Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 10 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T15:56:10.291Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T16:03:04.621Z: JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T16:03:04.733Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T16:03:04.775Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T16:03:04.849Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T16:03:04.910Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T16:03:05.001Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T16:03:05.066Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T20:00:52.635Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-17_08_55_05-5019473855042774752.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T20:00:52.688Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-17_08_55_05-5019473855042774752 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T20:00:52.804Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T20:00:53.230Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T20:00:53.254Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T20:01:35.180Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T20:01:35.222Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-17T20:01:35.248Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-17_08_55_05-5019473855042774752 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-05-17_08_55_05-5019473855042774752?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_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py",> line 216, in <module>
SideInputTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1675, in wait_until_finish
self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: CANCELLED, Error:
None
> 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_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58
* 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.
> Run with --scan to get full insights.
* 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 7m 57s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
Publishing failed.
The build scan server appears to be unavailable.
Please check https://status.gradle.com for the latest service status.
If the service is reported as available, please report this problem via https://gradle.com/help/plugin and include the following via copy/paste:
----------
Gradle version: 7.4
Plugin version: 3.4.1
Request URL: https://status.gradle.com
Request ID: 98ea2449-f176-4e6e-877c-de4227dfd3fb
Response status code: 405
Response server type: Varnish
----------
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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