See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/574/display/redirect?page=changes>
Changes: [Heejong Lee] [BEAM-9245] Unable to pull datatore Entity which contains dict [bulat.safiullin] [BEAM-14382] [Website] add banner container for with css, images, html [Jan Lukavský] [BEAM-14196] add test verifying output watermark propagation in bundle [Jan Lukavský] [BEAM-14196] Fix FlinkRunner mid-bundle output watermark handling [nielm] [BEAM-14405] Fix NPE when ProjectID is not specified in a template [bulat.safiullin] [BEAM-14382] change mobile banner img, add padding to banner section [ahmedabualsaud] fix test decotrator typo [noreply] Merge pull request #17440 from [BEAM-14329] Enable exponential backoff [noreply] [BEAM-11104] Fix output forwarding issue for ProcessContinuations [noreply] re-add testing package to pydoc (#17524) [Heejong Lee] add test [noreply] [BEAM-14250] Amended the workaround (#17531) [noreply] [BEAM-11104] Fix broken split result validation (#17546) [noreply] Fixed a SQL and screenshots in the Beam SQL blog (#17545) [noreply] Merge pull request #17417: [BEAM-14388] Address some performance [noreply] [BEAM-14386] [Flink] Support for scala 2.12 (#17512) [noreply] [BEAM-14294] Worker changes to support trivial Batched DoFns (#17384) [zyichi] Moving to 2.40.0-SNAPSHOT on master branch. [noreply] [BEAM-14048] [CdapIO] Add ConfigWrapper for building CDAP PluginConfigs ------------------------------------------ [...truncated 330.18 KB...] Using cached google_cloud_vision-1.0.1-py2.py3-none-any.whl (435 kB) Collecting google-cloud-recommendations-ai<=0.2.0,>=0.1.0 Using cached google_cloud_recommendations_ai-0.2.0-py2.py3-none-any.whl (180 kB) 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 Using cached msrest-0.6.21-py2.py3-none-any.whl (85 kB) Collecting jmespath<2.0.0,>=0.7.1 Using cached jmespath-1.0.0-py3-none-any.whl (23 kB) Collecting botocore<1.26.0,>=1.25.7 Using cached botocore-1.25.7-py3-none-any.whl (8.7 MB) Collecting s3transfer<0.6.0,>=0.5.0 Using cached s3transfer-0.5.2-py3-none-any.whl (79 kB) Collecting cffi>=1.12 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-2.40.0.dev0-py3-none-any.whl size=2766392 sha256=7118c32d29ab186ee10c2340b20c3af4f80ce921ab6befeff70864226f9d2194 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, 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 3.0.8 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-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.23.1 azure-storage-blob-12.11.0 boto3-1.22.7 botocore-1.25.7 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 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: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 0x7fea6f2d8170> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fea6f2d8950> ==================== 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-9-0505100417.1651766455.004017/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-9-0505100417.1651766455.004017/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-9-0505100417.1651766455.004017/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-9-0505100417.1651766455.004017/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: '20220505160055004971-2689' createTime: '2022-05-05T16:00:56.643556Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-05-05_09_00_55-11769499013114091023' location: 'us-central1' name: 'load-tests-python-dataflow-batch-sideinput-9-0505100417' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-05-05T16:00:56.643556Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-05_09_00_55-11769499013114091023] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-05_09_00_55-11769499013114091023 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-05_09_00_55-11769499013114091023?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-05_09_00_55-11769499013114091023 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:51.827Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:52.775Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:52.823Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:52.873Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:52.910Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:52.965Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.008Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.040Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.109Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.143Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.177Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.209Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.281Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.316Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.359Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.397Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.617Z: JOB_MESSAGE_DEBUG: Executing wait step start4 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.708Z: 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:2022-05-05T16:01:53.772Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:01:53.815Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-05_09_00_55-11769499013114091023 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:02:15.664Z: 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:2022-05-05T16:02:24.663Z: 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:2022-05-05T16:02:48.700Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:09:00.775Z: 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:2022-05-05T16:09:00.920Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:09:00.955Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:09:01.035Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:09:01.109Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:09:01.252Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T16:09:01.346Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T20:00:42.754Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-05_09_00_55-11769499013114091023. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T20:00:42.794Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T20:00:42.961Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-05_09_00_55-11769499013114091023 is in state JOB_STATE_CANCELLING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T20:00:43.085Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T20:00:43.104Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T20:01:22.449Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T20:01:22.503Z: JOB_MESSAGE_BASIC: Worker pool stopped. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-05T20:01:22.535Z: JOB_MESSAGE_DEBUG: Tearing down pending resources... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-05_09_00_55-11769499013114091023 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 1m 44s 15 actionable tasks: 3 executed, 12 up-to-date Publishing build scan... https://gradle.com/s/7bciwxkxg5cb4 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]
