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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/10/01 14:57:31 UTC
Build failed in Jenkins: beam_python_mongoio_load_test #4032
See <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/4032/display/redirect?page=changes>
Changes:
[noreply] JdbcIO fetchSize can be set to Integer.MIN_VALUE (#23444)
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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'
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Stored in directory: /home/jenkins/.cache/pip/wheels/31/63/74/6fb38e74fff3954a4c3f4997593b9c08658cb7935c4cd90455
Successfully built apache-beam
Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, 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, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.84 botocore-1.27.84 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.12.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.3 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.7 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 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-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 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 sqlalchemy-1.4.41 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0
> 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:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220914
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220914" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7efe9cdb2320> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7efe9cdb2b00> ====================
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-1001144510-914177-54jnp149.1664635510.914521/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1001144510-914177-54jnp149.1664635510.914521/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-1001144510-914177-54jnp149.1664635510.914521/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1001144510-914177-54jnp149.1664635510.914521/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221001144510915395-6484'
createTime: '2022-10-01T14:45:12.131282Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-10-01_07_45_11-14783028565904637288'
location: 'us-central1'
name: 'beamapp-jenkins-1001144510-914177-54jnp149'
projectId: 'apache-beam-testing'
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startTime: '2022-10-01T14:45:12.131282Z'
steps: []
tempFiles: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-01_07_45_11-14783028565904637288]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-01_07_45_11-14783028565904637288
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-01_07_45_11-14783028565904637288?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-01_07_45_11-14783028565904637288 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:11.635Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:12.515Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-10-01_07_45_11-14783028565904637288. The number of workers will be between 1 and 1000.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:12.659Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-10-01_07_45_11-14783028565904637288.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:14.552Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:15.716Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:15.753Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:15.818Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:15.854Z: 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:2022-10-01T14:45:15.881Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:15.915Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:15.956Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:15.991Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:3481>) into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.016Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into Create/FlatMap(<lambda at core.py:3481>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.035Z: JOB_MESSAGE_DETAILED: Fusing consumer Create documents into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.067Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/ParDo(_GenerateObjectIdFn) into Create documents
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.101Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/AddRandomKeys into WriteToMongoDB/ParDo(_GenerateObjectIdFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.136Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into WriteToMongoDB/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.171Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify into WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.202Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.226Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.262Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.293Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/RemoveRandomKeys into WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.329Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/ParDo(_WriteMongoFn) into WriteToMongoDB/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.368Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.397Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.431Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.463Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.612Z: JOB_MESSAGE_DEBUG: Executing wait step start13
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.679Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.728Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:16.764Z: JOB_MESSAGE_BASIC: Starting 5 workers in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:17.237Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-01_07_45_11-14783028565904637288 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:17.314Z: JOB_MESSAGE_DEBUG: Value "WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:17.396Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3481>)+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:2022-10-01T14:45:43.786Z: 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:2022-10-01T14:45:59.577Z: 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:2022-10-01T14:46:25.594Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:48:46.782Z: 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:2022-10-01T14:48:46.804Z: 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:2022-10-01T14:48:51.843Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing worker pool from 5 to 1.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:54:44.947Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3481>)+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:2022-10-01T14:54:45.023Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:54:45.102Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:54:45.157Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+WriteToMongoDB/Reshuffle/RemoveRandomKeys+WriteToMongoDB/ParDo(_WriteMongoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:56:07.095Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+WriteToMongoDB/Reshuffle/RemoveRandomKeys+WriteToMongoDB/ParDo(_WriteMongoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:56:07.172Z: JOB_MESSAGE_DEBUG: Executing success step success11
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:56:07.243Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:56:07.290Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:56:07.327Z: JOB_MESSAGE_BASIC: Stopping worker pool...
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=0c1f7f4a-355d-4712-8d0a-2713997a9c77, 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: 300602
log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-300602.out.log
----- Last 20 lines from daemon log file - daemon-300602.out.log -----
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-01_07_45_11-14783028565904637288 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:17.314Z: JOB_MESSAGE_DEBUG: Value "WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:45:17.396Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3481>)+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:2022-10-01T14:45:43.786Z: 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:2022-10-01T14:45:59.577Z: 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:2022-10-01T14:46:25.594Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:48:46.782Z: 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:2022-10-01T14:48:46.804Z: 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:2022-10-01T14:48:51.843Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing worker pool from 5 to 1.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:54:44.947Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3481>)+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:2022-10-01T14:54:45.023Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:54:45.102Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:54:45.157Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+WriteToMongoDB/Reshuffle/RemoveRandomKeys+WriteToMongoDB/ParDo(_WriteMongoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:56:07.095Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+WriteToMongoDB/Reshuffle/RemoveRandomKeys+WriteToMongoDB/ParDo(_WriteMongoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:56:07.172Z: JOB_MESSAGE_DEBUG: Executing success step success11
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:56:07.243Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:56:07.290Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-01T14:56:07.327Z: JOB_MESSAGE_BASIC: Stopping worker pool...
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
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