See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Batch/1276/display/redirect?page=changes>
Changes: [nflavour] Initial commit of boilerplate setup of change stream pipeline for [ahmedabualsaud] Fix SchemaTransform identifiers [noreply] Update chromedriver-binary requirement in /sdks/python (#25178) [noreply] Bump google.golang.org/grpc from 1.52.0 to 1.52.3 in /sdks (#25181) [noreply] Fix a couple typos caught by an internal linter (#25188) [noreply] Update Dataflow container versions (#25192) ------------------------------------------ [...truncated 23.27 KB...] Using cached pytest_timeout-2.1.0-py3-none-any.whl (12 kB) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Collecting sqlalchemy<2.0,>=1.3 Using cached SQLAlchemy-1.4.46-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB) Collecting psycopg2-binary<3.0.0,>=2.8.5 Using cached psycopg2_binary-2.9.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB) Collecting 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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-2.46.0.dev0-py3-none-any.whl size=2985446 sha256=d9714565901447dbdb54e8b8492c611d9ff798c5b7d6f2795947afac6b50a53d Stored in directory: /home/jenkins/.cache/pip/wheels/05/ca/c8/0c65c9fbfcbfb145207f4f6d56346d9f806bd97a5b82e948dc Successfully built apache-beam Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, docopt, crcmod, charset-normalizer, 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, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, 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, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity Successfully installed PyJWT-2.6.0 apache-beam-2.46.0.dev0 attrs-22.2.0 azure-core-1.26.2 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.58 botocore-1.29.58 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.0.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-39.0.0 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.1.0 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.16.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.4.2 google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.11.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.14.0 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.27.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.3.1 google-crc32c-1.5.0 google-resumable-media-2.4.1 googleapis-common-protos-1.58.0 greenlet-2.0.1 grpc-google-iam-v1-0.12.6 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.21.0 hypothesis-6.65.2 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.20.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.5 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.1 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 pytest-7.2.1 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.7.1 pyyaml-6.0 regex-2022.10.31 requests-2.28.2 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.46 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.14 websocket-client-1.5.0 wrapt-1.14.1 zstandard-0.19.0 > 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_ParDo_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:2.46.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20230126 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20230126" for Docker environment INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f437bf34c20> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f437bf36440> ==================== 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-pardo-1-0127125519.1674825606.850226/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-pardo-1-0127125519.1674825606.850226/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-pardo-1-0127125519.1674825606.850226/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-pardo-1-0127125519.1674825606.850226/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20230127132006851209-4668' createTime: '2023-01-27T13:20:08.295083Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-01-27_05_20_07-3841526188789931866' location: 'us-central1' name: 'load-tests-python-dataflow-batch-pardo-1-0127125519' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-01-27T13:20:08.295083Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-01-27_05_20_07-3841526188789931866] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-01-27_05_20_07-3841526188789931866 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-01-27_05_20_07-3841526188789931866?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-01-27_05_20_07-3841526188789931866 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-01-27T13:20:07.804Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-01-27T13:20:12.308Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-01-27T13:20:13.884Z: JOB_MESSAGE_ERROR: Workflow failed. Causes: The quota check has failed., Requested quota metric SSD Total GB is currently unavailable. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-01-27T13:20:13.924Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-01-27T13:20:13.977Z: JOB_MESSAGE_BASIC: Worker pool stopped. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-01-27T13:20:15.213Z: 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 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_ParDo_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py";,> line 167, in <module> ParDoTest().run() File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Batch/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_ParDo_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,> line 1547, 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>/2023-01-27_05_20_07-3841526188789931866?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_ParDo_Dataflow_Batch/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 1m 52s 15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/zqgf6kgvlu4he 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]
