See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/557/display/redirect>
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oauthlib>=3.0.0 Using cached oauthlib-3.2.0-py3-none-any.whl (151 kB) 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-2.39.0.dev0-py3-none-any.whl size=2729180 sha256=a63016bb0827e75a9b2cdfdf3092a1be36b2fb8c300ac7c73a8c06d6c6433cb9 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, tenacity, rsa, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, pyhamcrest, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, jmespath, isodate, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, cachetools, attrs, atomicwrites, sqlalchemy, requests, pydot, pyarrow, pluggy, pandas, overrides, mock, httplib2, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, cffi, botocore, 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 3.0.8 Uninstalling pyparsing-3.0.8: Successfully uninstalled pyparsing-3.0.8 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-2.39.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.23.1 azure-storage-blob-12.11.0 boto3-1.21.42 botocore-1.24.42 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-36.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.10 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-1.4.1 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 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wrapt-1.14.0 > 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:2.39.0.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 0x7f2ec5df5950> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f2ec5df4170> ==================== 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-9-0418100409.1650296135.730276/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-9-0418100409.1650296135.730276/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-9-0418100409.1650296135.730276/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-9-0418100409.1650296135.730276/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: '20220418153535731192-3838' createTime: '2022-04-18T15:35:36.762337Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-04-18_08_35_36-11666559735054610236' location: 'us-central1' name: 'load-tests-python-dataflow-batch-sideinput-9-0418100409' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-04-18T15:35:36.762337Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-04-18_08_35_36-11666559735054610236] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-04-18_08_35_36-11666559735054610236 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-18_08_35_36-11666559735054610236?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-04-18_08_35_36-11666559735054610236 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:40.696Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:46.698Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:46.732Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:46.760Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:46.793Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:46.824Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:46.853Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:46.887Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:46.918Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:46.961Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:46.993Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:47.018Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:47.078Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:47.129Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:47.166Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:47.207Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:47.351Z: JOB_MESSAGE_DEBUG: Executing wait step start4 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:47.404Z: 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:2022-04-18T15:35:47.445Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:35:47.480Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-c... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-04-18_08_35_36-11666559735054610236 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:36:15.912Z: 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:2022-04-18T15:36:27.999Z: 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:2022-04-18T15:36:50.752Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:41:57.199Z: 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:2022-04-18T15:41:57.272Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:41:57.296Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:41:57.364Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:41:57.409Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:41:57.456Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T15:41:57.515Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T20:00:40.247Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-04-18_08_35_36-11666559735054610236. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T20:00:40.284Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T20:00:40.571Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T20:00:40.712Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T20:00:40.735Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-04-18_08_35_36-11666559735054610236 is in state JOB_STATE_CANCELLING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T20:01:33.714Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T20:01:33.791Z: JOB_MESSAGE_BASIC: Worker pool stopped. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-18T20:01:33.822Z: JOB_MESSAGE_DEBUG: Tearing down pending resources... 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 1651, in wait_until_finish 'Job did not reach to a terminal state after waiting indefinitely.') AssertionError: Job did not reach to a terminal state after waiting indefinitely. > 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 26m 59s 15 actionable tasks: 3 executed, 12 up-to-date Publishing build scan... https://gradle.com/s/rqrr3vbddyxb4 Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
