See <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/1003/display/redirect>
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<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==2.47.0.dev0) (3.15.0) Collecting PyJWT[crypto]<3,>=1.0.0 Using cached PyJWT-2.6.0-py3-none-any.whl (20 kB) Collecting portalocker<3,>=1.0 Using cached portalocker-2.7.0-py2.py3-none-any.whl (15 kB) Collecting pyasn1>=0.1.7 Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB) Requirement already satisfied: py in <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from pytest-forked->pytest-xdist<3,>=2.5.0->apache-beam==2.47.0.dev0) (1.11.0) 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-2.47.0.dev0-py3-none-any.whl size=3034824 sha256=4047fa7b53bfd1f814eb936bd1bb126bcf0a8041dca7829024566818b7276e75 Stored in directory: /home/jenkins/.cache/pip/wheels/ab/30/db/7a1d878abb34081c011192312e662d364ee443467dfb553778 Successfully built apache-beam Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, overrides, orjson, objsize, mock, joblib, jmespath, isodate, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, google-cloud-core, google-apitools, boto3, azure-storage-blob, apache-beam, pytest-xdist, msal, 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, msal-extensions, google-cloud-pubsublite, azure-identity Successfully installed PyJWT-2.6.0 apache-beam-2.47.0.dev0 attrs-22.2.0 azure-core-1.26.3 azure-identity-1.12.0 azure-storage-blob-12.15.0 boto3-1.26.87 botocore-1.29.87 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.1.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-39.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 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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:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.47.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126" 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-2gb0308200444.1678319477.981263/pickled_main_session... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0308200444.1678319477.981263/pickled_main_session 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-2gb0308200444.1678319477.981263/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-2gb0308200444.1678319477.981263/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-2gb0308200444.1678319477.981263/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0308200444.1678319477.981263/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20230308235117982245-4482' createTime: '2023-03-08T23:51:19.024891Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-03-08_15_51_18-3554155292261535856' location: 'us-central1' name: 'performance-tests-psio-python-2gb0308200444' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-03-08T23:51:19.024891Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-03-08_15_51_18-3554155292261535856] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-03-08_15_51_18-3554155292261535856 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-03-08_15_51_18-3554155292261535856?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-central1/2023-03-08_15_51_18-3554155292261535856?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-08_15_51_18-3554155292261535856 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:28.484Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.360Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.403Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.456Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.497Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.525Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.557Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.592Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.637Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.672Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at iobase.py:908>) into Create input/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.701Z: 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:2023-03-08T23:51:32.730Z: 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:2023-03-08T23:51:32.756Z: 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:2023-03-08T23:51:32.793Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub message in bytes INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.825Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.853Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.949Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:32.988Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:33.020Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:33.047Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:33.071Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:34.160Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:34.190Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:34.238Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:51:52.496Z: 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:2023-03-08T23:52:13.713Z: 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:2023-03-08T23:52:44.297Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-08T23:52:54.761Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:00:11.407Z: JOB_MESSAGE_ERROR: generic::aborted: SDK harness sdk-0-1 disconnected. with MessageCode: (b2c11d8a1ba97d28): SDK disconnect. passed through: ==> dist_proc/dax/workflow/****/fnapi_control_service.cc:217 WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2023-03-08_15_51_18-3554155292261535856 after 722 seconds 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:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.47.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126" 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-2gb0308200444.1678320380.409349/pickled_main_session... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0308200444.1678320380.409349/pickled_main_session 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-2gb0308200444.1678320380.409349/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-2gb0308200444.1678320380.409349/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-2gb0308200444.1678320380.409349/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0308200444.1678320380.409349/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20230309000620410358-3422' createTime: '2023-03-09T00:06:21.549739Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-03-08_16_06_21-11363799576275054117' location: 'us-central1' name: 'performance-tests-psio-python-2gb0308200444' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-03-09T00:06:21.549739Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-03-08_16_06_21-11363799576275054117] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-03-08_16_06_21-11363799576275054117 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-03-08_16_06_21-11363799576275054117?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-central1/2023-03-08_16_06_21-11363799576275054117?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-08_16_06_21-11363799576275054117 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:28.864Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:31.467Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:31.500Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:31.586Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:31.712Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:31.745Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:31.810Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:31.875Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:31.932Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:31.966Z: JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) into Read from pubsub/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.005Z: JOB_MESSAGE_DETAILED: Fusing consumer Map(<lambda at pubsub_io_perf_test.py:170>) into Read from pubsub/Map(_from_proto_str) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.035Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at pubsub_io_perf_test.py:170>) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.066Z: JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.098Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.130Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/ConvertToAccumulators into Count messages/KeyWithVoid INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.162Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/GroupByKey/WriteStream into Count messages/CombinePerKey/Combine/ConvertToAccumulators INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.194Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into Count messages/CombinePerKey/GroupByKey/ReadStream INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.230Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.262Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count messages/CombinePerKey/Combine/Extract INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.293Z: JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.324Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert to bytes INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.357Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.396Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.444Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.472Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.505Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:32.537Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:33.630Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:33.664Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:33.715Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:06:50.902Z: 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:2023-03-09T00:07:12.933Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 1 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:07:12.965Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 1, though goal was 5. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:07:22.720Z: 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:2023-03-09T00:07:50.600Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-09T00:08:01.032Z: 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 2023-03-08_16_06_21-11363799576275054117 after 722 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_99f15c51-8607-43b9-8e90-68911f98dc35_read_matcher. 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_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/io/gcp/pubsub_io_perf_test.py";,> line 222, 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 44, in assert_that _assert_match(actual=arg1, matcher=arg2, reason=arg3) 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 60, 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): [] Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-03-08_15_51_18-3554155292261535856?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-03-08_16_06_21-11363799576275054117?project=apache-beam-testing > 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 47m 5s 15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/rt5y2hbvqq2sg 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]
