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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/05/09 20:01:28 UTC
Build failed in Jenkins: beam_LoadTests_Python_SideInput_Dataflow_Batch #578
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/578/display/redirect?page=changes>
Changes:
[elias.segundo] Changing elegibility to AllNodeElegibility
[chamikaramj] Adds code reviewers for GCP I/O connectors and KafkaIO to Beam OWNERS
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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 0x7fd0b9af6200> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fd0b9af69e0> ====================
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-9-0509100417.1652111232.656234/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-9-0509100417.1652111232.656234/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-9-0509100417.1652111232.656234/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-9-0509100417.1652111232.656234/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
clientRequestId: '20220509154712657166-5456'
createTime: '2022-05-09T15:47:13.629691Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-05-09_08_47_13-12598048265630042825'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0509100417'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-05-09T15:47:13.629691Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-09_08_47_13-12598048265630042825]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-09_08_47_13-12598048265630042825
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-09_08_47_13-12598048265630042825?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-09_08_47_13-12598048265630042825 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:17.891Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.243Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.273Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.300Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.392Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.426Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.452Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.506Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.534Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.560Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.586Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.608Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.639Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.663Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.697Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.730Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.909Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:19.964Z: 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:2022-05-09T15:47:20.018Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:20.051Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-09_08_47_13-12598048265630042825 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:42.245Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 8 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:42.279Z: JOB_MESSAGE_DETAILED: Resized **** pool to 8, though goal was 10. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:47:42.482Z: 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:2022-05-09T15:47:52.462Z: 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:2022-05-09T15:48:14.753Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:53:50.018Z: 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:2022-05-09T15:53:50.110Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:53:50.136Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:53:50.179Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:53:50.276Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:53:50.336Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T15:53:50.394Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-09_08_47_13-12598048265630042825 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T20:00:40.320Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-09_08_47_13-12598048265630042825.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T20:00:40.344Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T20:00:43.567Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T20:00:43.779Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T20:00:43.806Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T20:01:17.193Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T20:01:17.231Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-09T20:01:17.253Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-09_08_47_13-12598048265630042825 is in state JOB_STATE_CANCELLED
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 1670, 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 15m 18s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/ejvzoozskvdb6
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_LoadTests_Python_SideInput_Dataflow_Batch #586
Posted by Apache Jenkins Server <je...@builds.apache.org>.
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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Building wheels for collected packages: apache-beam
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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
clientRequestId: '20220517155504471861-6359'
createTime: '2022-05-17T15:55:05.708475Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-05-17_08_55_05-5019473855042774752'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0517100510'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-05-17T15:55:05.708475Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
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.
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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).
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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)
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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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Build failed in Jenkins: beam_LoadTests_Python_SideInput_Dataflow_Batch #585
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/585/display/redirect>
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Uninstalling pluggy-1.0.0:
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Successfully installed apache-beam-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.0 azure-storage-blob-12.12.0 boto3-1.23.0 botocore-1.26.0 cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.0.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.11 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.5 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.3 google-cloud-bigquery-storage-2.13.1 google-cloud-bigtable-1.7.1 google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.6.2 google-cloud-language-1.3.1 google-cloud-pubsub-2.12.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2 google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.2 googleapis-common-protos-1.56.1 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.6.21 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.36 tenacity-5.1.5 testcontainers-3.5.4 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1
> 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 0x7f21a6d229e0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f21a6d24200> ====================
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-9-0516100416.1652714625.844294/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-9-0516100416.1652714625.844294/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-9-0516100416.1652714625.844294/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-9-0516100416.1652714625.844294/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
clientRequestId: '20220516152345845272-4873'
createTime: '2022-05-16T15:23:46.839913Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-05-16_08_23_46-3157782307257617332'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0516100416'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-05-16T15:23:46.839913Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-16_08_23_46-3157782307257617332]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-16_08_23_46-3157782307257617332
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-16_08_23_46-3157782307257617332?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-16_08_23_46-3157782307257617332 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:48.730Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:49.639Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:49.669Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:49.722Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:49.750Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:49.787Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:49.813Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:49.874Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:49.907Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:49.940Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:49.996Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:50.027Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:50.064Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:50.095Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:50.129Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:50.165Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:50.291Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:50.422Z: 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:2022-05-16T15:23:50.457Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:23:50.486Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-16_08_23_46-3157782307257617332 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:24:13.067Z: 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:2022-05-16T15:24:24.644Z: 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:2022-05-16T15:24:46.370Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:30:25.154Z: 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:2022-05-16T15:30:25.213Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:30:25.245Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:30:25.345Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:30:25.395Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:30:25.461Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T15:30:25.515Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T20:00:45.296Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-16_08_23_46-3157782307257617332.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T20:00:45.318Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T20:00:45.491Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T20:00:45.524Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T20:00:45.540Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-16_08_23_46-3157782307257617332 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T20:01:19.927Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T20:01:19.961Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-16T20:01:19.993Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-16_08_23_46-3157782307257617332 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-05-16_08_23_46-3157782307257617332?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 38m 53s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/3zddelj3nsvxe
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_LoadTests_Python_SideInput_Dataflow_Batch #584
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/584/display/redirect?page=changes>
Changes:
[noreply] [BEAM-14470] Use Generic Registrations in loadtests. (#17673)
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Requirement already satisfied: zipp>=0.5 in <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<5.0,>=4.4.0->apache-beam==2.40.0.dev0) (3.8.0)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.40.0.dev0-py3-none-any.whl size=2777028 sha256=857d0b403fba2be07794f04ab5e5818526a3979cad5b57383f1d6298427a2a4d
Stored in directory: /home/jenkins/.cache/pip/wheels/c1/f5/a3/8f5ec48b796c1b690bd340ec7688fb88886afa83d7f14ff737
Successfully built apache-beam
Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, certifi, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, cachetools, attrs, atomicwrites, sqlalchemy, scipy, requests, pyarrow, pluggy, pandas, overrides, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Attempting uninstall: pluggy
Found existing installation: pluggy 1.0.0
Uninstalling pluggy-1.0.0:
Successfully uninstalled pluggy-1.0.0
Successfully installed apache-beam-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.0 azure-storage-blob-12.12.0 boto3-1.23.0 botocore-1.26.0 cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.0.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.11 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.5 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.3 google-cloud-bigquery-storage-2.13.1 google-cloud-bigtable-1.7.1 google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.6.2 google-cloud-language-1.3.1 google-cloud-pubsub-2.12.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2 google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.2 googleapis-common-protos-1.56.1 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.6.21 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.36 tenacity-5.1.5 testcontainers-3.5.4 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1
> 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 0x7f38538299e0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f385382a200> ====================
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-9-0515100431.1652630227.134334/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-9-0515100431.1652630227.134334/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-9-0515100431.1652630227.134334/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-9-0515100431.1652630227.134334/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
clientRequestId: '20220515155707135305-6643'
createTime: '2022-05-15T15:57:08.049483Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-05-15_08_57_07-752468079755972449'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0515100431'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-05-15T15:57:08.049483Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-15_08_57_07-752468079755972449]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-15_08_57_07-752468079755972449
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-15_08_57_07-752468079755972449?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-15_08_57_07-752468079755972449 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:10.267Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:11.650Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:11.786Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:11.831Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:11.867Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.016Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.072Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.134Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.192Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.235Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.284Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.333Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.425Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.460Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.507Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.532Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.646Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.733Z: 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:2022-05-15T15:57:12.815Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:12.849Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-15_08_57_07-752468079755972449 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T15:57:35.145Z: 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:2022-05-15T15:57:42.038Z: 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:2022-05-15T15:58:08.550Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T16:04:52.380Z: 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:2022-05-15T16:04:52.483Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T16:04:52.505Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T16:04:52.575Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T16:04:52.648Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T16:04:52.717Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T16:04:52.774Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T20:00:53.924Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-15_08_57_07-752468079755972449.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T20:00:53.948Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T20:00:54.022Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T20:00:54.198Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T20:00:54.218Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-15_08_57_07-752468079755972449 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T20:01:25.693Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T20:01:25.730Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-15T20:01:25.754Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-15_08_57_07-752468079755972449 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-05-15_08_57_07-752468079755972449?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 5m 32s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/ts23nhdng7ayc
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_LoadTests_Python_SideInput_Dataflow_Batch #583
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/583/display/redirect?page=changes>
Changes:
[Heejong Lee] [BEAM-14455] Add UUID to sub-schemas for PythonExternalTransform
[Heejong Lee] [BEAM-14430] Adding a logical type support for Python callables to Row
[Heejong Lee] add urn, type inference for PythonCallableSource
[Heejong Lee] fix lint errors
[Heejong Lee] move logical types def
[Heejong Lee] add micros_instant urn
[Heejong Lee] put a default type hint for PythonCallableSource
[Heejong Lee] add comment
[noreply] Revert "Better test assertion. (#17551)"
[noreply] Bump github.com/spf13/cobra from 1.3.0 to 1.4.0 in /sdks (#17647)
[noreply] [BEAM-14465] Reduce DefaultS3ClientBuilderFactory logging to debug level
[noreply] Merge pull request #17365 from [BEAM-12482] Update Schema Destination
[noreply] [BEAM-14014] Support impersonation credentials in dataflow runner
[noreply] [BEAM-14469] Allow nil primary returns from TrySplit in a single-window
[noreply] Add some auto-starting runners to the typescript SDK. (#17580)
[noreply] [BEAM-14371] (and BEAM-14372) - enable a couple staticchecks (#17670)
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Collecting psycopg2-binary<3.0.0,>=2.8.5
Using cached psycopg2_binary-2.9.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB)
Collecting testcontainers[mysql]<4.0.0,>=3.0.3
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Collecting cryptography>=36.0.0
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Requirement already satisfied: six>=1.11.0 in <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from azure-core>=1.7.0->apache-beam==2.40.0.dev0) (1.16.0)
Collecting msrest>=0.6.21
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Created wheel for apache-beam: filename=apache_beam-2.40.0.dev0-py3-none-any.whl size=2777028 sha256=6dac0c1fc40532e09ca0586997dfae07747b6e1a55e9b788ca02c43867399b40
Stored in directory: /home/jenkins/.cache/pip/wheels/c1/f5/a3/8f5ec48b796c1b690bd340ec7688fb88886afa83d7f14ff737
Successfully built apache-beam
Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, certifi, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, cachetools, attrs, atomicwrites, sqlalchemy, scipy, requests, pyarrow, pluggy, pandas, overrides, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Attempting uninstall: pluggy
Found existing installation: pluggy 1.0.0
Uninstalling pluggy-1.0.0:
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Successfully installed apache-beam-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.0 azure-storage-blob-12.12.0 boto3-1.23.0 botocore-1.26.0 cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.0.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.11 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.5 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.3 google-cloud-bigquery-storage-2.13.1 google-cloud-bigtable-1.7.1 google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.6.2 google-cloud-language-1.3.1 google-cloud-pubsub-2.12.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2 google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.2 googleapis-common-protos-1.56.1 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.6.21 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.36 tenacity-5.1.5 testcontainers-3.5.4 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1
> 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 0x7f599ed319e0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f599ed32200> ====================
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-9-0514100413.1652543730.848988/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-9-0514100413.1652543730.848988/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-9-0514100413.1652543730.848988/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-9-0514100413.1652543730.848988/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
clientRequestId: '20220514155530849937-9999'
createTime: '2022-05-14T15:55:31.712259Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-05-14_08_55_31-1481361689829031140'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0514100413'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-05-14T15:55:31.712259Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-14_08_55_31-1481361689829031140]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-14_08_55_31-1481361689829031140
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-14_08_55_31-1481361689829031140?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-14_08_55_31-1481361689829031140 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:33.721Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.390Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.432Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.463Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.514Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.546Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.576Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.605Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.637Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.697Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.737Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.763Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.859Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.919Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.973Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:35.044Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:35.206Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:35.286Z: 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:2022-05-14T15:55:35.352Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:35.394Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-14_08_55_31-1481361689829031140 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:55.733Z: 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:2022-05-14T15:55:57.959Z: 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:2022-05-14T15:56:30.044Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.581Z: 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:2022-05-14T16:03:14.677Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.708Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.772Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.825Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.922Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:15.001Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:00:41.036Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-14_08_55_31-1481361689829031140.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:00:41.095Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:00:41.255Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:00:41.299Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:00:41.390Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-14_08_55_31-1481361689829031140 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:01:15.693Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:01:15.725Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:01:15.779Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-14_08_55_31-1481361689829031140 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-05-14_08_55_31-1481361689829031140?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 6m 56s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/c6domqtmavyh2
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_LoadTests_Python_SideInput_Dataflow_Batch #582
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/582/display/redirect?page=changes>
Changes:
[dannymccormick] [BEAM-14441] Add GitHub issue templates
[dannymccormick] Ask for beam version + other dependencies
[dannymccormick] We don't need outage
[dannymccormick] Cut p4
[chamikaramj] Updates CHANGES.md to include some recently discovered known issues
[noreply] [BEAM-14334] Fix leakage of SparkContext in Spark runner tests to remove
[noreply] Typo & link update (#17633)
[dannymccormick] Pare down to fewer templates
[noreply] Trigger go precommits on go mod/sum changes (#17636)
[noreply] Revert "[BEAM-14429] Force java load test on dataflow runner v2
[noreply] [BEAM-14347] Add generic registration feature to CHANGES (#17643)
[noreply] Better test assertion. (#17551)
[noreply] Bump github.com/google/go-cmp from 0.5.7 to 0.5.8 in /sdks (#17628)
[noreply] Bump github.com/testcontainers/testcontainers-go in /sdks (#17627)
[noreply] Bump github.com/lib/pq from 1.10.4 to 1.10.5 in /sdks (#17626)
[noreply] Merge pull request #17584 from [BEAM-14415] Exception handling tests and
[noreply] Bump cloud.google.com/go/pubsub from 1.18.0 to 1.21.1 in /sdks (#17646)
[noreply] Merge pull request #17408 from [BEAM-14312] [Website] change section
[noreply] Bump cloud.google.com/go/bigquery from 1.28.0 to 1.32.0 in /sdks
[noreply] [BEAM-14347] Add function for simple function registration (#17650)
[noreply] Drop dataclasses requirement, we only support python 3.7+ (#17640)
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Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, certifi, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, cachetools, attrs, atomicwrites, sqlalchemy, scipy, requests, pyarrow, pluggy, pandas, overrides, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Attempting uninstall: pluggy
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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 0x7f2ee8384320> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f2ee8384b00> ====================
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-9-0513100445.1652456647.625782/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-9-0513100445.1652456647.625782/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-9-0513100445.1652456647.625782/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-9-0513100445.1652456647.625782/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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type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-13_08_44_08-17450588225137531890]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-13_08_44_08-17450588225137531890
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-13_08_44_08-17450588225137531890?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-13_08_44_08-17450588225137531890 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:33.286Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:38.673Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:38.806Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:38.857Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:38.912Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.026Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.081Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.150Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.194Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.227Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.257Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.284Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.311Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.348Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.422Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:39.485Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-13_08_44_08-17450588225137531890 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:40.737Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:41.400Z: 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:2022-05-13T15:44:41.695Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:41.817Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:44:44.838Z: 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:2022-05-13T15:45:16.733Z: 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:2022-05-13T15:45:41.784Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:52:20.426Z: 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:2022-05-13T15:52:20.484Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:52:20.508Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:52:20.604Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:52:20.654Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T15:52:20.775Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T20:00:41.791Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-13_08_44_08-17450588225137531890.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T20:00:42.168Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T20:00:42.488Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T20:00:42.563Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T20:00:42.590Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-13_08_44_08-17450588225137531890 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T20:01:17.797Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T20:01:18.408Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-13T20:01:18.565Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-13_08_44_08-17450588225137531890 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-05-13_08_44_08-17450588225137531890?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 18m 59s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/qay27rdwredrw
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_LoadTests_Python_SideInput_Dataflow_Batch #581
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/581/display/redirect?page=changes>
Changes:
[randomstep] [BEAM-14096] bump junit-quickcheck to 1.0
[noreply] [BEAM-5492] Python Dataflow integration tests should export the pipeline
[noreply] [BEAM-14396] Bump httplib2 upper bound. (#17602)
[noreply] [BEAM-11104] Add self-checkpointing to CHANGES.md (#17612)
[noreply] [BEAM-14081] [CdapIO] Add context classes for CDAP plugins (#17104)
[noreply] [BEAM-12526] Add Dependabot (#17563)
[noreply] Remove python 3.6 postcommit from mass_comment.py (#17630)
[noreply] [BEAM-14347] Add some benchmarks for generic registration (#17613)
[noreply] Correctly route go dependency changes to go label (#17632)
[noreply] [BEAM-13695] Add jamm jvm options to Java 11 (#17178)
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Uninstalling pluggy-1.0.0:
Successfully uninstalled pluggy-1.0.0
Successfully installed apache-beam-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.0 azure-storage-blob-12.12.0 boto3-1.22.12 botocore-1.25.12 cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.0.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.11 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.5 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.3 google-cloud-bigquery-storage-2.13.1 google-cloud-bigtable-1.7.1 google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.6.2 google-cloud-language-1.3.1 google-cloud-pubsub-2.12.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2 google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.2 googleapis-common-protos-1.56.0 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.6.21 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.36 tenacity-5.1.5 testcontainers-3.5.3 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1
> 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 0x7f4f2a36d290> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f4f2a36da70> ====================
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-9-0512100431.1652370716.096521/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-9-0512100431.1652370716.096521/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-9-0512100431.1652370716.096521/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-9-0512100431.1652370716.096521/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
clientRequestId: '20220512155156097440-4582'
createTime: '2022-05-12T15:51:57.230040Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-05-12_08_51_56-17769454670639241342'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0512100431'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-05-12T15:51:57.230040Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-12_08_51_56-17769454670639241342]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-12_08_51_56-17769454670639241342
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-12_08_51_56-17769454670639241342?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-12_08_51_56-17769454670639241342 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:00.146Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.050Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.087Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.115Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.187Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.226Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.274Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.308Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.378Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.447Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.534Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.618Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:01.914Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:02.028Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:02.133Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:02.225Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-12_08_51_56-17769454670639241342 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:02.467Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:02.535Z: 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:2022-05-12T15:52:02.582Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:02.604Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:52:25.382Z: 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:2022-05-12T15:52:38.752Z: 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:2022-05-12T15:52:58.969Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:59:42.468Z: 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:2022-05-12T15:59:42.519Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:59:42.546Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:59:42.606Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:59:42.654Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:59:42.710Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T15:59:42.774Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T20:00:39.373Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-12_08_51_56-17769454670639241342.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T20:00:39.400Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T20:00:42.912Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T20:00:43.076Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T20:00:43.113Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-12_08_51_56-17769454670639241342 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T20:01:20.948Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T20:01:20.997Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-12T20:01:21.023Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-12_08_51_56-17769454670639241342 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-05-12_08_51_56-17769454670639241342?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 10m 36s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/zks4et5eehyfc
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_LoadTests_Python_SideInput_Dataflow_Batch #580
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/580/display/redirect?page=changes>
Changes:
[Alexey Romanenko] [BEAM-12918] Add PostCommit_Java_Tpcds_Spark job
[johnjcasey] [BEAM-14448] add datastore test
[yathu] [BEAM-14423] Add test cases for BigtableIO.BigtableWriterFn fails due to
[Pablo Estrada] Revert "Merge pull request #17517 from [BEAM-14383] Improve "FailedRows"
[noreply] [BEAM-14229] Fix SyntheticUnboundedSource duplication from checkpoint
[noreply] [BEAM-14347] Rename registration package to register (#17603)
[noreply] [BEAM-11104] Add self-checkpointing integration test (#17590)
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Requirement already satisfied: zipp>=0.5 in <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<5.0,>=4.4.0->apache-beam==2.40.0.dev0) (3.8.0)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.40.0.dev0-py3-none-any.whl size=2771396 sha256=a811fd0ff812424df545446cec059dcc115584fe513a58242e38eae19a54596b
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Successfully built apache-beam
Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, certifi, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, pyhamcrest, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, cachetools, attrs, atomicwrites, sqlalchemy, scipy, requests, pydot, pyarrow, pluggy, pandas, overrides, mock, httplib2, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, deprecation, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Attempting uninstall: pyparsing
Found existing installation: pyparsing 3.0.9
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Successfully installed apache-beam-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.0 azure-storage-blob-12.12.0 boto3-1.22.11 botocore-1.25.11 cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.0.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.11 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.5 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.3 google-cloud-bigquery-storage-2.13.1 google-cloud-bigtable-1.7.1 google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.6.2 google-cloud-language-1.3.1 google-cloud-pubsub-2.12.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2 google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.2 googleapis-common-protos-1.56.0 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.0 hdfs-2.7.0 httplib2-0.19.1 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.6.21 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pyparsing-2.4.7 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.36 tenacity-5.1.5 testcontainers-3.5.3 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1
> 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 0x7f21ade698c0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f21ade6a0e0> ====================
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-9-0511100418.1652284424.766509/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-9-0511100418.1652284424.766509/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-9-0511100418.1652284424.766509/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-9-0511100418.1652284424.766509/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
clientRequestId: '20220511155344767453-1661'
createTime: '2022-05-11T15:53:45.811472Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-05-11_08_53_45-2872587195487053483'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0511100418'
projectId: 'apache-beam-testing'
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startTime: '2022-05-11T15:53:45.811472Z'
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type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-11_08_53_45-2872587195487053483]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-11_08_53_45-2872587195487053483
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-11_08_53_45-2872587195487053483?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-11_08_53_45-2872587195487053483 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:47.720Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.298Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.327Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.355Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.376Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.407Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.431Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.452Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.474Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.499Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.518Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.544Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.568Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.585Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.608Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.666Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.770Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.820Z: 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:2022-05-11T15:53:48.849Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:53:48.868Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-11_08_53_45-2872587195487053483 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:54:11.133Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 9 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:54:11.150Z: JOB_MESSAGE_DETAILED: Resized **** pool to 9, though goal was 10. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T15:54:18.790Z: 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:2022-05-11T15:54:21.337Z: 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:2022-05-11T15:54:43.753Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T16:00:03Z: 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:2022-05-11T16:00:03.344Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T16:00:03.683Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T16:00:03.989Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T16:00:04.112Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T16:00:04.190Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T16:00:04.274Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T20:00:40.067Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-11_08_53_45-2872587195487053483.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T20:00:40.093Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T20:00:40.339Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T20:00:40.412Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T20:00:40.443Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-11_08_53_45-2872587195487053483 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T20:01:14.243Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T20:01:14.285Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-11T20:01:14.306Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-11_08_53_45-2872587195487053483 is in state JOB_STATE_CANCELLED
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 1670, 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 8m 46s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/de5pu6oci65nm
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_LoadTests_Python_SideInput_Dataflow_Batch #579
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/579/display/redirect?page=changes>
Changes:
[andyye333] Add extra details to PubSub matcher errors
[noreply] Merge pull request #17559 from [BEAM-14423] Add exception injection
[noreply] [BEAM-11104] Allow self-checkpointing SDFs to return without finishing
[noreply] Merge pull request #17544 from [BEAM-14415] Exception handling tests for
[noreply] Merge pull request #17565 from [BEAM-14413] add Kafka exception test
[noreply] Merge pull request #17555 from [BEAM-14417] Adding exception handling
[noreply] [BEAM-14433] Improve Go split error message. (#17575)
[noreply] [BEAM-14429] Force java load test on dataflow runner v2
[noreply] Merge pull request #17577 from [BEAM-14435] Adding exception handling
[noreply] [BEAM-14347] Add generic registration functions for iters and emitters
[noreply] [BEAM-14169] Add Credentials rotation cron job for clusters (#17383)
[noreply] [BEAM-14347] Add generic registration for accumulators (#17579)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Created wheel for apache-beam: filename=apache_beam-2.40.0.dev0-py3-none-any.whl size=2771942 sha256=9d98bd1bdd8c9f2cf23184fbf3603d4b8129dc9383aa2e6b2875f113d9b03e2d
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Successfully built apache-beam
Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, certifi, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, pyhamcrest, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, cachetools, attrs, atomicwrites, sqlalchemy, scipy, requests, pydot, pyarrow, pluggy, pandas, overrides, mock, httplib2, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, deprecation, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Attempting uninstall: pyparsing
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Successfully installed apache-beam-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.0 azure-storage-blob-12.11.0 boto3-1.22.10 botocore-1.25.10 cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.0.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.11 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.5 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.3 google-cloud-bigquery-storage-2.13.1 google-cloud-bigtable-1.7.1 google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.6.2 google-cloud-language-1.3.1 google-cloud-pubsub-2.12.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2 google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.2 googleapis-common-protos-1.56.0 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.0 hdfs-2.7.0 httplib2-0.19.1 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.6.21 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pyparsing-2.4.7 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.36 tenacity-5.1.5 testcontainers-3.5.3 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1
> 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 0x7f3b1511f170> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f3b1511f950> ====================
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-9-0510100444.1652197663.217501/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-9-0510100444.1652197663.217501/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-9-0510100444.1652197663.217501/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-9-0510100444.1652197663.217501/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
clientRequestId: '20220510154743218778-1850'
createTime: '2022-05-10T15:47:44.339849Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-05-10_08_47_43-12573554164792080462'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0510100444'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-05-10T15:47:44.339849Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-10_08_47_43-12573554164792080462]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-10_08_47_43-12573554164792080462
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-10_08_47_43-12573554164792080462?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-10_08_47_43-12573554164792080462 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:46.969Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.111Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.151Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.215Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.241Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.283Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.317Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.351Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.382Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.415Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.437Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.480Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.517Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.566Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.597Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.629Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.763Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.841Z: 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:2022-05-10T15:47:48.918Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:47:48.949Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-10_08_47_43-12573554164792080462 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:48:03.508Z: 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:2022-05-10T15:48:11.265Z: 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:2022-05-10T15:48:43.518Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:55:23.943Z: 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:2022-05-10T15:55:24.013Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:55:24.045Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:55:24.108Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:55:24.175Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:55:24.246Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T15:55:24.338Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T20:00:43.145Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-10_08_47_43-12573554164792080462.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T20:00:43.174Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T20:00:43.333Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T20:00:43.411Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T20:00:43.435Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-10_08_47_43-12573554164792080462 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T20:01:24.760Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T20:01:24.809Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-10T20:01:24.838Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-10_08_47_43-12573554164792080462 is in state JOB_STATE_CANCELLED
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 1670, 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 15m 2s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/23vfqyicyqq6s
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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