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(setup.py): started Building wheel for apache-beam (setup.py): finished with status 'done' Created wheel for apache-beam: filename=apache_beam-2.38.0.dev0-py3-none-any.whl size=2675864 sha256=c5f24a018b38d1de88faf0f3daff9057b581bee984a60d01d6a7346a2b92f101 Stored in directory: /home/jenkins/.cache/pip/wheels/0b/f4/6b/a024b397e4938b6f618aad92c6194894a81dedd34e7aaa54d0 Successfully built apache-beam Installing collected packages: wcwidth, pytz, pyasn1, parameterized, mypy-extensions, docopt, crcmod, certifi, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, tenacity, rsa, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, pyhamcrest, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, jmespath, isodate, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, cachetools, attrs, atomicwrites, typing-inspect, sqlalchemy, requests, pydot, pyarrow, pluggy, pandas, overrides, mock, httplib2, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, libcst, hdfs, grpc-google-iam-v1, google-api-core, docker, deprecation, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, 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: pyparsing Found existing installation: pyparsing 3.0.7 Uninstalling pyparsing-3.0.7: Successfully uninstalled pyparsing-3.0.7 Attempting uninstall: pluggy Found existing installation: pluggy 1.0.0 Uninstalling pluggy-1.0.0: Successfully 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grpcio-gcp-0.2.2 grpcio-status-1.44.0 hdfs-2.6.0 httplib2-0.19.1 idna-3.3 isodate-0.6.1 jmespath-0.10.0 libcst-0.4.1 mock-2.0.0 more-itertools-8.12.0 msrest-0.6.21 mypy-extensions-0.4.3 numpy-1.21.5 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.7 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.8.1 pluggy-0.13.1 proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-6.0.1 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 pyparsing-2.4.7 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-2021.3 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.1 sqlalchemy-1.4.31 tenacity-5.1.5 testcontainers-3.4.2 typing-extensions-4.1.1 typing-inspect-0.7.1 typing-utils-0.1.0 urllib3-1.26.8 wcwidth-0.2.5 websocket-client-1.2.3 wrapt-1.13.3 > Task :sdks:python:apache_beam:testing:load_tests:run INFO:apache_beam.runners.portability.stager:Copying Beam SDK 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WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=1', '--fanout=1', 'shuffle_mode=appliance'] WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=1', '--fanout=1', 'shuffle_mode=appliance'] INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20220221181103098735-8147' createTime: '2022-02-21T18:11:03.945236Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-02-21_10_11_03-8262762524953772947' location: 'us-central1' name: 'load-tests-python-dataflow-streaming-gbk-3-0219185546' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-02-21T18:11:03.945236Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-02-21_10_11_03-8262762524953772947] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-02-21_10_11_03-8262762524953772947 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-02-21_10_11_03-8262762524953772947?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-02-21_10_11_03-8262762524953772947 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:09.834Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:10.892Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:10.929Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:10.985Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.017Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey 0: GroupByKey not followed by a combiner. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.042Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. 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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.258Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.295Z: JOB_MESSAGE_DETAILED: Fusing consumer Read/Map(<lambda at iobase.py:898>) into Read/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.326Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read/Map(<lambda at iobase.py:898>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.370Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.391Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.421Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.444Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.467Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey 0/ReadStream INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.498Z: JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.535Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.568Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.682Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.703Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.726Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.771Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.795Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.847Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.880Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:11.902Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-02-21_10_11_03-8262762524953772947 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:32.056Z: 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:2022-02-21T18:11:47.969Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 3 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:48Z: JOB_MESSAGE_DETAILED: Resized **** pool to 3, though goal was 5. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:11:58.318Z: 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:2022-02-21T18:12:21.637Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-21T18:12:21.688Z: JOB_MESSAGE_DETAILED: Workers have started successfully. Terminated > 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_GBK_Dataflow_Streaming/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/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 10m 18s 15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/p37lhg26cbqc4 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]
