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python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, 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-storage, google-cloud-spanner, google-cloud-resource-manager, 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, google-cloud-aiplatform, azure-identity Attempting uninstall: protobuf Found existing installation: protobuf 4.24.0rc3 Uninstalling protobuf-4.24.0rc3: Successfully uninstalled protobuf-4.24.0rc3 Successfully installed PyJWT-2.8.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.19 botocore-1.31.19 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.29.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0rc1 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 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_LoadTests_Python_Combine_Dataflow_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_python3.8_sdk:beam-master-20230717 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/smoketests 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/smoketests/load-tests-python-dataflow-streaming-combine-1-0804125346.1691161673.842116/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0804125346.1691161673.842116/dataflow_python_sdk.tar in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0804125346.1691161673.842116/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0804125346.1691161673.842116/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20230804150753843038-4008' createTime: '2023-08-04T15:07:54.717996Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-08-04_08_07_54-17247923794242661373' location: 'us-central1' name: 'load-tests-python-dataflow-streaming-combine-1-0804125346' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-08-04T15:07:54.717996Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-04_08_07_54-17247923794242661373] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-04_08_07_54-17247923794242661373 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-04_08_07_54-17247923794242661373?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-04_08_07_54-17247923794242661373 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T15:08:00.053Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T15:08:01.832Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T15:08:02.123Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-c... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-04_08_07_54-17247923794242661373 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T15:08:09.925Z: 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:2023-08-04T15:11:35.209Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T15:12:06.008Z: 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:2023-08-04T18:03:24.060Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T18:03:35.367Z: 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:Job 2023-08-04_08_07_54-17247923794242661373 is in state JOB_STATE_CANCELLING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T20:11:21.712Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-04_08_07_54-17247923794242661373. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T20:11:21.913Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T20:11:21.978Z: JOB_MESSAGE_BASIC: Stopping **** pool... Traceback (most recent call last): File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/usr/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py";,> line 129, in <module> CombineTest().run() File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,> line 152, in run state = self.result.wait_until_finish(duration=self.timeout_ms) File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,> line 758, in wait_until_finish assert duration or terminated, ( AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-04_08_07_54-17247923794242661373?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_Combine_Dataflow_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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 5h 5m 38s 15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date Publishing build scan... https://ge.apache.org/s/tsqkf5463acs6 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]
