See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/636/display/redirect?page=changes>
Changes: [noreply] [BEAM-11103] Add blog post for go 2.40 release (#17723) [noreply] Fix test_row_coder_fail_early_bad_schema fails run after [noreply] Tune ByteStringCoder allocations (#22144) [noreply] Enable passing tests on dataflow runner v2. (#22136) [noreply] Merge pull request #17727 from [BEAM-9482] Fix "provided port is already [noreply] Fix date for go 2.40 blog post [noreply] Fix month for 2.40 go blog post [noreply] [BEAM-14545] Optimize copies in dataflow v1 shuffle reader. (#17802) [noreply] Tune StreamingModeExecutionContext allocations (#22142) [noreply] [BEAM-3221] Improve documentation around split request and response [noreply] Fix documentation about hand implemented global aggregations (#22173) [noreply] Merge pull request #21872 from Standardizing output of WriteToBigQuery ------------------------------------------ [...truncated 330.24 KB...] Collecting google-cloud-videointelligence<2,>=1.8.0 Using cached google_cloud_videointelligence-1.16.3-py2.py3-none-any.whl (183 kB) Collecting google-cloud-vision<2,>=0.38.0 Using cached google_cloud_vision-1.0.2-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 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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-2.41.0.dev0-py3-none-any.whl size=2818338 sha256=bb6d6437737d70eb47ce24c2a4e0829a0b7b24f5e19b7a17d426fd497dda5cd4 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, 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, certifi, 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-2.41.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.12.0 boto3-1.24.24 botocore-1.27.24 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.3 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.7 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 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-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.10 wcwidth-0.2.5 websocket-client-1.3.3 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. INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617" for Docker environment INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f1be88987a0> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f1be8898f80> ==================== 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-9-0706185509.1657209353.957708/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-9-0706185509.1657209353.957708/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-9-0706185509.1657209353.957708/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-9-0706185509.1657209353.957708/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: '20220707155553958978-9137' createTime: '2022-07-07T15:55:54.773136Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-07-07_08_55_54-4324016978302662400' location: 'us-central1' name: 'load-tests-python-dataflow-batch-sideinput-9-0706185509' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-07-07T15:55:54.773136Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-07_08_55_54-4324016978302662400] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-07_08_55_54-4324016978302662400 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-07_08_55_54-4324016978302662400?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-07_08_55_54-4324016978302662400 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:58.248Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.447Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.484Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.514Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.547Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.579Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.603Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.629Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.660Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.695Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.732Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.775Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.826Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.859Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.887Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.913Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-07_08_55_54-4324016978302662400 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:56:00.042Z: JOB_MESSAGE_DEBUG: Executing wait step start4 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:56:00.104Z: 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:2022-07-07T15:56:00.145Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:56:00.191Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:56:08.429Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:56:34.696Z: 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:2022-07-07T15:57:01.825Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:47.665Z: 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:2022-07-07T16:03:47.756Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:47.789Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:47.854Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:47.937Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:48.030Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:48.209Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:00:37.662Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-07_08_55_54-4324016978302662400. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:00:37.692Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:00:37.847Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:00:37.941Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:00:37.965Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-07_08_55_54-4324016978302662400 is in state JOB_STATE_CANCELLING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:01:28.016Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:01:28.062Z: JOB_MESSAGE_BASIC: Worker pool stopped. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:01:28.092Z: 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 1665, in wait_until_finish '{}'.format(consoleUrl)) AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-07_08_55_54-4324016978302662400?project=<ProjectId> > 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 49s 15 actionable tasks: 3 executed, 12 up-to-date Publishing build scan... https://gradle.com/s/c75w5m2vlwj5o 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]
