See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/524/display/redirect?page=changes>
Changes: [Chamikara Madhusanka Jayalath] Updates x-lang release validation to use staged jars [dhuntsperger] documented maven-to-gradle conversion for Dataflow; refactored java [dhuntsperger] adding a list of example pipelines [dhuntsperger] removing unnecessary `ls` command from maven project generation [dhuntsperger] fixing filename formatting in response to feedback [dhuntsperger] adding extra step emphasizing runner setupt [dhuntsperger] reorganized instructions to emphasize setup steps for runners [noreply] [BEAM-13767] Move a bunch of python tasks to use gradle configuration… [noreply] Merge pull request #17052 from [BEAM-13818] [SnowflakeIO] Add support [noreply] Adding pydoc for StateHandler (#17091) [noreply] BEAM-3165 Bypass split if numSplit is zero (#17084) ------------------------------------------ [...truncated 322.16 KB...] Using cached google_cloud_language-1.3.0-py2.py3-none-any.whl (83 kB) Collecting google-cloud-videointelligence<2,>=1.8.0 Using cached 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apache-beam (setup.py): started Building wheel for apache-beam (setup.py): finished with status 'done' Created wheel for apache-beam: filename=apache_beam-2.38.0.dev0-py3-none-any.whl size=2694465 sha256=60a89c665c2c1b6224b422953326844649bf4964e8ef2af75625e944b8c3073b 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-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 3.0.7 Uninstalling pyparsing-3.0.7: Successfully uninstalled pyparsing-3.0.7 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-2.38.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.23.0 azure-storage-blob-12.10.0 boto3-1.21.20 botocore-1.24.20 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-1.2.0 google-api-core-1.31.5 google-apitools-0.5.31 google-auth-1.35.0 google-cloud-bigquery-2.34.2 google-cloud-bigquery-storage-2.13.0 google-cloud-bigtable-1.7.0 google-cloud-core-1.7.2 google-cloud-datastore-1.15.3 google-cloud-dlp-3.6.2 google-cloud-language-1.3.0 google-cloud-pubsub-2.11.0 google-cloud-pubsublite-1.4.1 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.1 google-cloud-videointelligence-1.16.1 google-cloud-vision-1.0.0 google-crc32c-1.3.0 google-resumable-media-2.3.2 googleapis-common-protos-1.55.0 greenlet-1.1.2 grpc-google-iam-v1-0.12.3 grpcio-gcp-0.2.2 grpcio-status-1.44.0 hdfs-2.6.0 httplib2-0.19.1 idna-3.3 isodate-0.6.1 jmespath-0.10.0 mock-2.0.0 more-itertools-8.12.0 msrest-0.6.21 numpy-1.21.5 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.7 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.8.1 pluggy-0.13.1 proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-6.0.1 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-2021.3 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 sqlalchemy-1.4.32 tenacity-5.1.5 testcontainers-3.4.2 typing-extensions-4.1.1 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.1 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:2.38.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220208 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220208" for Docker environment INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f02447387a0> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f0244738f80> ==================== 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-9-0316100418.1647446125.910081/dataflow_python_sdk.tar... INFO:oauth2client.transport:Attempting refresh to obtain initial access_token INFO:oauth2client.transport:Attempting refresh to obtain initial access_token INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-9-0316100418.1647446125.910081/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-9-0316100418.1647446125.910081/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-9-0316100418.1647446125.910081/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: '20220316155525911011-9985' createTime: '2022-03-16T15:55:26.976541Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-03-16_08_55_26-12672782891714741740' location: 'us-central1' name: 'load-tests-python-dataflow-batch-sideinput-9-0316100418' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-03-16T15:55:26.976541Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-03-16_08_55_26-12672782891714741740] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-03-16_08_55_26-12672782891714741740 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-03-16_08_55_26-12672782891714741740?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-03-16_08_55_26-12672782891714741740 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:29.090Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.124Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.161Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.189Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.232Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.274Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.301Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.335Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.356Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.387Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.421Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.446Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.479Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.570Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.624Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.655Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.784Z: JOB_MESSAGE_DEBUG: Executing wait step start4 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.840Z: 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:2022-03-16T15:55:30.876Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:30.916Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-03-16_08_55_26-12672782891714741740 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:55:59.934Z: 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:2022-03-16T15:56:01.367Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 1 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:56:01.390Z: JOB_MESSAGE_DETAILED: Resized **** pool to 1, though goal was 10. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:56:11.649Z: 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:2022-03-16T15:56:32.861Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T15:56:32.889Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T16:03:05.820Z: 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:2022-03-16T16:03:05.912Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T16:03:05.936Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T16:03:06.017Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T16:03:06.066Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T16:03:06.128Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T16:03:06.183Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:oauth2client.transport:Refreshing due to a 401 (attempt 1/2) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T20:00:28.888Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-03-16_08_55_26-12672782891714741740. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T20:00:28.917Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T20:00:29.805Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-03-16_08_55_26-12672782891714741740 is in state JOB_STATE_CANCELLING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T20:00:31.987Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-16T20:00:32.011Z: JOB_MESSAGE_BASIC: Stopping **** pool... 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 1631, 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/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 4h 6m 54s 15 actionable tasks: 3 executed, 12 up-to-date Publishing build scan... https://gradle.com/s/zvkbus5nwp3us 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]
