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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Dataflow_Streaming #682
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/682/display/redirect>
Changes:
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/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:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220617
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220617" for Docker environment
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-streaming-pardo-1-0731125449.1659272495.024946/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-streaming-pardo-1-0731125449.1659272495.024946/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-streaming-pardo-1-0731125449.1659272495.024946/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-streaming-pardo-1-0731125449.1659272495.024946/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220731130135026006-1691'
createTime: '2022-07-31T13:01:35.924784Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-31_06_01_35-280142601711712376'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-pardo-1-0731125449'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-31T13:01:35.924784Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-31_06_01_35-280142601711712376]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-31_06_01_35-280142601711712376
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-31_06_01_35-280142601711712376?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-31_06_01_35-280142601711712376 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:39.629Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:40.460Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:40.503Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:40.625Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:40.665Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:40.746Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:40.781Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:40.832Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:40.882Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:40.923Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:40.969Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.014Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.058Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.102Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 0 into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.148Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 1 into Step: 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.193Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 2 into Step: 1
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.238Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 3 into Step: 2
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.292Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 4 into Step: 3
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.329Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 5 into Step: 4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.362Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 6 into Step: 5
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.400Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 7 into Step: 6
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.444Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 8 into Step: 7
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.488Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 9 into Step: 8
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.532Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End into Step: 9
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.720Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.753Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.794Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.826Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.859Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.926Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:41.958Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:01:42.010Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-31_06_01_35-280142601711712376 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:02:02.573Z: 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:2022-07-31T13:02:18.605Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 2 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:02:18.636Z: JOB_MESSAGE_DETAILED: Resized **** pool to 2, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:02:28.786Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 3 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:02:28.819Z: JOB_MESSAGE_DETAILED: Resized **** pool to 3, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:02:38.980Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:02:44.804Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:15:00.139Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:15:00.241Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:15:00.260Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:15:00.282Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:15:00.305Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:15:32.723Z: JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of ****s to 0 based on low average **** CPU utilization, and the pipeline having sufficiently low backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:15:32.761Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T13:15:32.798Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-31_06_01_35-280142601711712376 is in state JOB_STATE_DONE
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: 52a926dbdb894255ba4a3abfeabd54a5 and timestamp: 1659273351.7711833:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: python_dataflow_streaming_pardo_1_runtime Value: 225
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 SUCCESSFUL in 15m 26s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/dlgcgfmk7acgu
Build step 'Invoke Gradle script' changed build result to SUCCESS
[beam_LoadTests_Python_ParDo_Dataflow_Streaming] $ /bin/bash -xe /tmp/jenkins6046482883796857570.sh
+ echo '*** ParDo Python Load test: 2GB 100 byte records 200 times ***'
*** ParDo Python Load test: 2GB 100 byte records 200 times ***
[Gradle] - Launching build.
[src] $ <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/ws/src/gradlew> -PloadTest.mainClass=apache_beam.testing.load_tests.pardo_test -Prunner=DataflowRunner '-PloadTest.args=--job_name=load-tests-python-dataflow-streaming-pardo-2-0731125449 --project=apache-beam-testing --region=us-central1 --temp_location=gs://temp-storage-for-perf-tests/loadtests --publish_to_big_query=true --metrics_dataset=load_test --metrics_table=python_dataflow_streaming_pardo_2 --influx_measurement=python_streaming_pardo_2 --input_options='{"num_records": 20000000,"key_size": 10,"value_size": 90}' --iterations=200 --number_of_counter_operations=0 --number_of_counters=0 --num_****s=5 --autoscaling_algorithm=NONE --influx_db_name=beam_test_metrics --influx_hostname=http://10.128.0.96:8086 --streaming --experiments=use_runner_v2,shuffle_mode=appliance --runner=DataflowRunner' -PpythonVersion=3.7 --continue --max-****s=8 -Dorg.gradle.jvmargs=-Xms2g -Dorg.gradle.jvmargs=-Xmx6g -Dorg.gradle.vfs.watch=false -Pdocker-pull-licenses :sdks:python:apache_beam:testing:load_tests:run
Configuration on demand is an incubating feature.
> Task :buildSrc:compileJava NO-SOURCE
> Task :buildSrc:compileGroovy UP-TO-DATE
> Task :buildSrc:pluginDescriptors UP-TO-DATE
> Task :buildSrc:processResources UP-TO-DATE
> Task :buildSrc:classes UP-TO-DATE
> Task :buildSrc:jar UP-TO-DATE
> Task :buildSrc:assemble UP-TO-DATE
> Task :buildSrc:spotlessGroovy UP-TO-DATE
> Task :buildSrc:spotlessGroovyCheck UP-TO-DATE
> Task :buildSrc:spotlessGroovyGradle UP-TO-DATE
> Task :buildSrc:spotlessGroovyGradleCheck UP-TO-DATE
> Task :buildSrc:spotlessCheck UP-TO-DATE
> Task :buildSrc:pluginUnderTestMetadata UP-TO-DATE
> Task :buildSrc:compileTestJava NO-SOURCE
> Task :buildSrc:compileTestGroovy NO-SOURCE
> Task :buildSrc:processTestResources NO-SOURCE
> Task :buildSrc:testClasses UP-TO-DATE
> Task :buildSrc:test NO-SOURCE
> Task :buildSrc:validatePlugins UP-TO-DATE
> Task :buildSrc:check UP-TO-DATE
> Task :buildSrc:build UP-TO-DATE
> Task :sdks:python:setupVirtualenv UP-TO-DATE
> Task :sdks:python:sdist
<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/ws/src/build/gradleenv/1922375555/lib/python3.7/site-packages/setuptools/dist.py>:530: UserWarning: Normalizing '2.42.0.dev' to '2.42.0.dev0'
warnings.warn(tmpl.format(**locals()))
warning: no files found matching 'README.md'
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warning: sdist: standard file not found: should have one of README, README.rst, README.txt, README.md
> Task :sdks:python:apache_beam:testing:load_tests:setupVirtualenv
Collecting pip
Using cached pip-22.2.1-py3-none-any.whl (2.0 MB)
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 20.1.1
Uninstalling pip-20.1.1:
Successfully uninstalled pip-20.1.1
Successfully installed pip-22.2.1
Collecting tox==3.20.1
Using cached tox-3.20.1-py2.py3-none-any.whl (83 kB)
Requirement already satisfied: setuptools in <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from -r <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/ws/src/sdks/python/build-requirements.txt> (line 20)) (47.1.0)
Collecting setuptools
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Installing collected packages: distlib, zipp, wheel, toml, six, setuptools, pyparsing, py, protobuf, platformdirs, filelock, packaging, mypy-protobuf, importlib-metadata, grpcio, virtualenv, pluggy, grpcio-tools, tox
Attempting uninstall: setuptools
Found existing installation: setuptools 47.1.0
Uninstalling setuptools-47.1.0:
Successfully uninstalled setuptools-47.1.0
Successfully installed distlib-0.3.1 filelock-3.7.1 grpcio-1.48.0 grpcio-tools-1.37.0 importlib-metadata-2.1.3 mypy-protobuf-1.18 packaging-21.3 platformdirs-2.5.2 pluggy-1.0.0 protobuf-3.20.1 py-1.11.0 pyparsing-3.0.9 setuptools-63.2.0 six-1.16.0 toml-0.10.2 tox-3.20.1 virtualenv-20.16.2 wheel-0.37.1 zipp-3.8.1
> Task :sdks:python:apache_beam:testing:load_tests:installGcpTest
Processing <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz>
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'done'
Collecting crcmod<2.0,>=1.7
Using cached crcmod-1.7-cp37-cp37m-linux_x86_64.whl
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Downloading orjson-3.7.11.tar.gz (946 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 946.6/946.6 kB 17.2 MB/s eta 0:00:00
Installing build dependencies: started
Installing build dependencies: finished with status 'done'
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status 'done'
Preparing metadata (pyproject.toml): started
Preparing metadata (pyproject.toml): finished with status 'error'
error: subprocess-exited-with-error
× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [6 lines of output]
Cargo, the Rust package manager, is not installed or is not on PATH.
This package requires Rust and Cargo to compile extensions. Install it through
the system's package manager or via https://rustup.rs/
Checking for Rust toolchain....
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> See above for output.
note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
> Task :sdks:python:apache_beam:testing:load_tests:installGcpTest FAILED
FAILURE: Build failed with an exception.
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:installGcpTest'.
> Process 'command 'sh'' finished with non-zero exit value 1
* 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
BUILD FAILED in 22s
14 actionable tasks: 3 executed, 11 up-to-date
Publishing build scan...
https://gradle.com/s/wchuyefenbq4k
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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