See <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/1103/display/redirect>
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googleapis-common-protos<2.0.dev0,>=1.56.2 (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5->google-cloud-bigquery<4,>=2.0.0->apache-beam==2.49.0.dev0) Using cached googleapis_common_protos-1.59.1-py2.py3-none-any.whl (224 kB) Collecting google-crc32c<2.0dev,>=1.0 (from google-resumable-media<3.0dev,>=0.6.0->google-cloud-bigquery<4,>=2.0.0->apache-beam==2.49.0.dev0) Using cached google_crc32c-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (32 kB) Requirement already satisfied: zipp>=0.5 in <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.49.0.dev0) (3.15.0) Collecting PyJWT[crypto]<3,>=1.0.0 (from msal<2.0.0,>=1.20.0->azure-identity<2,>=1.12.0->apache-beam==2.49.0.dev0) Using cached PyJWT-2.7.0-py3-none-any.whl (22 kB) Collecting portalocker<3,>=1.0 (from msal-extensions<2.0.0,>=0.3.0->azure-identity<2,>=1.12.0->apache-beam==2.49.0.dev0) Using cached portalocker-2.7.0-py2.py3-none-any.whl (15 kB) Collecting pyasn1>=0.1.7 (from oauth2client>=1.4.12->google-apitools<0.5.32,>=0.5.31->apache-beam==2.49.0.dev0) Using cached pyasn1-0.5.0-py2.py3-none-any.whl (83 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-2.49.0.dev0-py3-none-any.whl size=3206455 sha256=45a986952007a122a9c5bd87fe952cee46cc71059319fcd9fd2e1098a3ec4e60 Stored in directory: /home/jenkins/.cache/pip/wheels/ab/30/db/7a1d878abb34081c011192312e662d364ee443467dfb553778 Successfully built apache-beam Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, proto-plus, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pymongo, pydot, pyasn1-modules, isodate, httplib2, grpcio-status, google-resumable-media, cffi, attrs, requests_mock, pytest, pandas, oauth2client, hypothesis, hdfs, grpc-google-iam-v1, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, pytest-xdist, pytest-timeout, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, 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, google-cloud-pubsublite, azure-identity Successfully installed PyJWT-2.7.0 apache-beam-2.49.0.dev0 attrs-23.1.0 azure-core-1.27.1 azure-identity-1.14.0b1 azure-storage-blob-12.17.0b1 boto3-1.26.155 botocore-1.29.155 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.1.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.1 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.3.0 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.1 execnet-1.9.0 fastavro-1.7.4 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.1 google-apitools-0.5.31 google-auth-2.20.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.11.1 google-cloud-bigquery-storage-2.20.0 google-cloud-bigtable-2.19.0 google-cloud-core-2.3.2 google-cloud-datastore-2.15.2 google-cloud-dlp-3.12.1 google-cloud-language-2.10.0 google-cloud-pubsub-2.17.1 google-cloud-pubsublite-1.7.0 google-cloud-recommendations-ai-0.10.3 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threadpoolctl-3.1.0 urllib3-1.26.16 websocket-client-1.6.0 wrapt-1.15.0 zstandard-0.21.0 > Task :sdks:python:apache_beam:testing:load_tests:run INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.7_sdk:beam-master-20230422 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.7_sdk:beam-master-20230422" for Docker environment 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/performance-tests-psio-python-2gb0618215359.1687132250.650749/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0618215359.1687132250.650749/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/performance-tests-psio-python-2gb0618215359.1687132250.650749/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0618215359.1687132250.650749/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20230618235050651661-9485' createTime: '2023-06-18T23:50:51.568691Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-06-18_16_50_51-3623490517627241908' location: 'us-central1' name: 'performance-tests-psio-python-2gb0618215359' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-06-18T23:50:51.568691Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-06-18_16_50_51-3623490517627241908] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-06-18_16_50_51-3623490517627241908 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-06-18_16_50_51-3623490517627241908?project=apache-beam-testing INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log: INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2023-06-18_16_50_51-3623490517627241908?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-06-18_16_50_51-3623490517627241908 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:56.099Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.258Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.285Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.349Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.383Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.414Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.463Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.493Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.526Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.561Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at iobase.py:908>) into Create input/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.596Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Create input/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.631Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.658Z: JOB_MESSAGE_DETAILED: Fusing consumer Format to pubsub message in bytes into ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.691Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub message in bytes INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.716Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.749Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.858Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.887Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.950Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:57.977Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:58.004Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:58.183Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:58.216Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:50:58.242Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a... INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:51:10.954Z: 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:2023-06-18T23:51:39.326Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:52:12.043Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:52:22.887Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-18T23:55:12.572Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated. WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2023-06-18_16_50_51-3623490517627241908 after 724 seconds INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: ebdcc9d2c46a43a6a49d496722698c8b and timestamp: 1687133130.5178692: INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: pubsub_io_perf_write_runtime Value: 91 INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.7_sdk:beam-master-20230422 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.7_sdk:beam-master-20230422" for Docker environment 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.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0618215359.1687133135.041877/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0618215359.1687133135.041877/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/performance-tests-psio-python-2gb0618215359.1687133135.041877/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0618215359.1687133135.041877/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20230619000535042772-5738' createTime: '2023-06-19T00:05:36.086838Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-06-18_17_05_35-14362659400383312531' location: 'us-central1' name: 'performance-tests-psio-python-2gb0618215359' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-06-19T00:05:36.086838Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-06-18_17_05_35-14362659400383312531] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-06-18_17_05_35-14362659400383312531 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-06-18_17_05_35-14362659400383312531?project=apache-beam-testing INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log: INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2023-06-18_17_05_35-14362659400383312531?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-06-18_17_05_35-14362659400383312531 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:39.603Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.183Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.230Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.299Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.370Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.404Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.472Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.536Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.580Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.605Z: JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) into Read from pubsub/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.635Z: JOB_MESSAGE_DETAILED: Fusing consumer Map(<lambda at pubsub_io_perf_test.py:168>) into Read from pubsub/Map(_from_proto_str) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.668Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at pubsub_io_perf_test.py:168>) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.700Z: JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.733Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.765Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/ConvertToAccumulators into Count messages/KeyWithVoid INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.799Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/GroupByKey/WriteStream into Count messages/CombinePerKey/Combine/ConvertToAccumulators INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.831Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into Count messages/CombinePerKey/GroupByKey/ReadStream INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.867Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.896Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count messages/CombinePerKey/Combine/Extract INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.921Z: JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.941Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert to bytes INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:42.974Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:43.013Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:43.037Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:43.071Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:43.107Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:43.127Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:43.319Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:43.343Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a... INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:05:43.409Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:06:09.124Z: 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:2023-06-19T00:06:26.040Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:06:56.618Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-19T00:07:03.929Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests. WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2023-06-18_17_05_35-14362659400383312531 after 724 seconds ERROR:apache_beam.io.gcp.tests.pubsub_matcher:Timeout after 900 sec. Received 0 messages from projects/apache-beam-testing/subscriptions/pubsub_io_performance_505595b0-8d46-4ed9-b8cc-6b4843571fc7_read_matcher. Traceback (most recent call last): Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-06-18_16_50_51-3623490517627241908?project=apache-beam-testing File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-06-18_17_05_35-14362659400383312531?project=apache-beam-testing "__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_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/io/gcp/pubsub_io_perf_test.py";,> line 219, in <module> PubsubReadPerfTest().run() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,> line 150, in run self.result = self.pipeline.run() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/test_pipeline.py";,> line 114, in run False if self.not_use_test_runner_api else test_runner_api)) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,> line 577, in run return self.runner.run_pipeline(self, self._options) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/test_dataflow_runner.py";,> line 70, in run_pipeline hc_assert_that(self.result, pickler.loads(on_success_matcher)) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py";,> line 58, in assert_that _assert_match(actual=actual_or_assertion, matcher=matcher, reason=reason) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py";,> line 73, in _assert_match raise AssertionError(description) AssertionError: Expected: (Expected 1 messages.) but: Expected 1 messages. Got 0 messages. Diffs (item, count): Expected but not in actual: dict_items([(b'2097152', 1)]) Unexpected: dict_items([]) Unexpected (with all details): [] > 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_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63 * 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. * 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/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 45m 53s 15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date Publishing build scan... https://ge.apache.org/s/nju75m3lkdcgw 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]
