See <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/4324/display/redirect>
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/home/jenkins/.cache/pip/wheels/31/63/74/6fb38e74fff3954a4c3f4997593b9c08658cb7935c4cd90455 Successfully built apache-beam Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, 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, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, packaging, 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, deprecation, 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 Attempting uninstall: packaging Found existing installation: packaging 22.0 Uninstalling packaging-22.0: Successfully uninstalled packaging-22.0 Successfully installed PyJWT-2.6.0 apache-beam-2.45.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.28 botocore-1.29.28 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.4 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-2.15.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.4.1 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-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.11 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.25.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.57.0 greenlet-2.0.1 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.61.0 idna-3.4 iniconfig-1.1.1 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-3.8.3 overrides-6.5.0 packaging-21.3 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 portalocker-2.6.0 proto-plus-1.22.1 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-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 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-1.4.45 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.13 websocket-client-1.4.2 wrapt-1.14.1 zstandard-0.19.0 > Task :sdks:python:test-suites:dataflow:py37:mongodbioIT INFO:__main__:Writing 1000000 documents to mongodb <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/apache_beam/io/mongodbio_it_test.py>:80: FutureWarning: WriteToMongoDB is experimental. known_args.batch_size)) INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/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:2.45.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221205 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221205" for Docker environment INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f1365e72f80> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f1365e737a0> ==================== 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/beamapp-jenkins-1213144511-480905-qp1dzo1h.1670942711.481220/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1213144511-480905-qp1dzo1h.1670942711.481220/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/beamapp-jenkins-1213144511-480905-qp1dzo1h.1670942711.481220/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1213144511-480905-qp1dzo1h.1670942711.481220/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20221213144511482113-8049' createTime: '2022-12-13T14:45:12.835838Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-12-13_06_45_12-16802478687627189447' location: 'us-central1' name: 'beamapp-jenkins-1213144511-480905-qp1dzo1h' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-12-13T14:45:12.835838Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-12-13_06_45_12-16802478687627189447] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-12-13_06_45_12-16802478687627189447 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-13_06_45_12-16802478687627189447?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-13_06_45_12-16802478687627189447 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:12.279Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:13.340Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-12-13_06_45_12-16802478687627189447. The number of workers will be between 1 and 1000. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:13.395Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-12-13_06_45_12-16802478687627189447. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:16.311Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.569Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.617Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.687Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.729Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.771Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.814Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.844Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.874Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:3507>) into Create/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.906Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into Create/FlatMap(<lambda at core.py:3507>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.939Z: JOB_MESSAGE_DETAILED: Fusing consumer Create documents into Create/Map(decode) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:17.977Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/ParDo(_GenerateObjectIdFn) into Create documents INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/AddRandomKeys into WriteToMongoDB/ParDo(_GenerateObjectIdFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.026Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into WriteToMongoDB/Reshuffle/AddRandomKeys INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.051Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify into WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.086Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.125Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.151Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.185Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/RemoveRandomKeys into WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.219Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/ParDo(_WriteMongoFn) into WriteToMongoDB/Reshuffle/RemoveRandomKeys INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.251Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.295Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.327Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.360Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.509Z: JOB_MESSAGE_DEBUG: Executing wait step start13 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.574Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.640Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.668Z: JOB_MESSAGE_BASIC: Starting 5 workers in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.921Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.985Z: JOB_MESSAGE_DEBUG: Value "WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:19.052Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3507>)+Create/Map(decode)+Create documents+WriteToMongoDB/ParDo(_GenerateObjectIdFn)+WriteToMongoDB/Reshuffle/AddRandomKeys+WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-13_06_45_12-16802478687627189447 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:42.790Z: 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:2022-12-13T14:45:53.684Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:53.718Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized worker pool to 1, though goal was 5. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:46:03.271Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:46:03.310Z: JOB_MESSAGE_DETAILED: Autoscaling: Would further reduce the number of workers but reached the minimum number allowed for the job. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:46:35.599Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:48:50.506Z: JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 1 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:48:50.539Z: JOB_MESSAGE_DETAILED: Autoscaling: Would further reduce the number of workers but reached the minimum number allowed for the job. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:48:55.586Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing worker pool from 5 to 1. Terminated > Task :sdks:python:test-suites:dataflow:py37:mongodbioIT FAILED The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=63619cc6-f9c4-4211-ab1a-44e3a400222f, currentDir=<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 4072408 log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-4072408.out.log ----- Last 20 lines from daemon log file - daemon-4072408.out.log ----- INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.360Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.509Z: JOB_MESSAGE_DEBUG: Executing wait step start13 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.574Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.640Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.668Z: JOB_MESSAGE_BASIC: Starting 5 workers in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.921Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:18.985Z: JOB_MESSAGE_DEBUG: Value "WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:19.052Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3507>)+Create/Map(decode)+Create documents+WriteToMongoDB/ParDo(_GenerateObjectIdFn)+WriteToMongoDB/Reshuffle/AddRandomKeys+WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-13_06_45_12-16802478687627189447 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:42.790Z: 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:2022-12-13T14:45:53.684Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:45:53.718Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized worker pool to 1, though goal was 5. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:46:03.271Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:46:03.310Z: JOB_MESSAGE_DETAILED: Autoscaling: Would further reduce the number of workers but reached the minimum number allowed for the job. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:46:35.599Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:48:50.506Z: JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 1 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:48:50.539Z: JOB_MESSAGE_DETAILED: Autoscaling: Would further reduce the number of workers but reached the minimum number allowed for the job. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T14:48:55.586Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing worker pool from 5 to 1. Terminated Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt. ----- End of the daemon log ----- FAILURE: Build failed with an exception. * What went wrong: Gradle build daemon disappeared unexpectedly (it may have been killed or may have crashed) * 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 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]
