See <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/4092/display/redirect>
Changes: ------------------------------------------ [...truncated 30.92 KB...] Collecting pytest<8.0,>=7.1.2 Using cached pytest-7.1.3-py3-none-any.whl (298 kB) Collecting pytest-xdist<3,>=2.5.0 Using cached pytest_xdist-2.5.0-py3-none-any.whl (41 kB) Collecting pytest-timeout<3,>=2.1.0 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-1.4.42-cp37-cp37m-linux_x86_64.whl Collecting psycopg2-binary<3.0.0,>=2.8.5 Using cached psycopg2_binary-2.9.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB) Collecting testcontainers[mysql]<4.0.0,>=3.0.3 Using cached testcontainers-3.7.0-py2.py3-none-any.whl (43 kB) Collecting cryptography>=36.0.0 Using cached cryptography-38.0.1-cp36-abi3-manylinux_2_28_x86_64.whl (4.2 MB) Collecting boto3>=1.9 Using cached boto3-1.24.91-py3-none-any.whl (132 kB) Requirement already satisfied: six>=1.11.0 in <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages> (from azure-core>=1.7.0->apache-beam==2.43.0.dev0) (1.16.0) Collecting msrest>=0.7.1 Using cached msrest-0.7.1-py3-none-any.whl (85 kB) Collecting botocore<1.28.0,>=1.27.91 Using cached botocore-1.27.91-py3-none-any.whl (9.2 MB) Collecting jmespath<2.0.0,>=0.7.1 Using cached jmespath-1.0.1-py3-none-any.whl (20 kB) Collecting s3transfer<0.7.0,>=0.6.0 Using cached s3transfer-0.6.0-py3-none-any.whl (79 kB) Collecting cffi>=1.12 Using cached cffi-1.15.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (427 kB) Collecting oauth2client>=1.4.12 Using cached oauth2client-4.1.3-py2.py3-none-any.whl (98 kB) Collecting pyasn1-modules>=0.2.1 Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB) Collecting rsa<5,>=3.1.4 Using cached rsa-4.9-py3-none-any.whl (34 kB) Requirement already satisfied: packaging<22.0.0dev,>=14.3 in <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages> (from google-cloud-bigquery<4,>=1.6.0->apache-beam==2.43.0.dev0) (21.3) Collecting google-resumable-media<3.0dev,>=0.6.0 Using cached google_resumable_media-2.4.0-py2.py3-none-any.whl (77 kB) Collecting google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5 Using cached google_api_core-2.10.2-py3-none-any.whl (115 kB) Collecting grpc-google-iam-v1<0.13dev,>=0.12.3 Using cached grpc_google_iam_v1-0.12.4-py2.py3-none-any.whl (26 kB) Collecting grpcio-status>=1.16.0 Using cached grpcio_status-1.49.1-py3-none-any.whl (14 kB) Collecting overrides<7.0.0,>=6.0.1 Using cached overrides-6.5.0-py3-none-any.whl (17 kB) Collecting sqlparse>=0.3.0 Using cached sqlparse-0.4.3-py3-none-any.whl (42 kB) Collecting docopt Using cached docopt-0.6.2-py2.py3-none-any.whl Requirement already satisfied: pyparsing!=3.0.0,!=3.0.1,!=3.0.2,!=3.0.3,<4,>=2.4.2 in <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages> (from httplib2<0.21.0,>=0.8->apache-beam==2.43.0.dev0) (3.0.9) Collecting attrs>=19.2.0 Using cached attrs-22.1.0-py2.py3-none-any.whl (58 kB) Collecting sortedcontainers<3.0.0,>=2.1.0 Using cached sortedcontainers-2.4.0-py2.py3-none-any.whl (29 kB) Collecting exceptiongroup>=1.0.0rc8 Using cached exceptiongroup-1.0.0rc9-py3-none-any.whl (12 kB) Collecting pbr>=0.11 Using cached pbr-5.10.0-py2.py3-none-any.whl (112 kB) Requirement already satisfied: pluggy<2.0,>=0.12 in <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages> (from pytest<8.0,>=7.1.2->apache-beam==2.43.0.dev0) (1.0.0) Requirement already satisfied: py>=1.8.2 in <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages> (from pytest<8.0,>=7.1.2->apache-beam==2.43.0.dev0) (1.11.0) Requirement already satisfied: importlib-metadata>=0.12 in <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages> (from pytest<8.0,>=7.1.2->apache-beam==2.43.0.dev0) (2.1.3) Collecting tomli>=1.0.0 Using cached tomli-2.0.1-py3-none-any.whl (12 kB) Collecting iniconfig Using cached iniconfig-1.1.1-py2.py3-none-any.whl (5.0 kB) Collecting execnet>=1.1 Using cached execnet-1.9.0-py2.py3-none-any.whl (39 kB) Collecting pytest-forked Using cached pytest_forked-1.4.0-py3-none-any.whl (4.9 kB) Collecting charset-normalizer<3,>=2 Using cached charset_normalizer-2.1.1-py3-none-any.whl (39 kB) Collecting idna<4,>=2.5 Using cached idna-3.4-py3-none-any.whl (61 kB) Collecting urllib3<1.27,>=1.21.1 Using cached urllib3-1.26.12-py2.py3-none-any.whl (140 kB) Collecting certifi>=2017.4.17 Using cached certifi-2022.9.24-py3-none-any.whl (161 kB) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Collecting scipy>=1.1.0 Using cached scipy-1.7.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (38.1 MB) Collecting greenlet!=0.4.17 Using cached greenlet-1.1.3.post0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (151 kB) Collecting wrapt Using cached wrapt-1.14.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (75 kB) Collecting docker>=4.0.0 Using cached docker-6.0.0-py3-none-any.whl (147 kB) Collecting deprecation Using cached deprecation-2.1.0-py2.py3-none-any.whl (11 kB) Collecting pymysql Using cached PyMySQL-1.0.2-py3-none-any.whl (43 kB) Collecting pycparser Using cached pycparser-2.21-py2.py3-none-any.whl (118 kB) Collecting websocket-client>=0.32.0 Using cached websocket_client-1.4.1-py3-none-any.whl (55 kB) Collecting googleapis-common-protos<2.0dev,>=1.56.2 Using cached googleapis_common_protos-1.56.4-py2.py3-none-any.whl (211 kB) Collecting google-crc32c<2.0dev,>=1.0 Using cached google_crc32c-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (32 kB) Collecting grpcio-status>=1.16.0 Using cached grpcio_status-1.48.2-py3-none-any.whl (14 kB) Requirement already satisfied: zipp>=0.5 in <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.43.0.dev0) (3.9.0) Collecting requests-oauthlib>=0.5.0 Using cached requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB) Collecting isodate>=0.6.0 Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Collecting pyasn1>=0.1.7 Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB) Collecting oauthlib>=3.0.0 Using cached oauthlib-3.2.1-py3-none-any.whl (151 kB) 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-2.43.0.dev0-py3-none-any.whl size=2873533 sha256=fa417bafbbb03a38e79f1948d3240a9f71b06b4bd586fbf616bbc71c1db133f1 Stored in directory: /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, 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, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, 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-1.26.0 azure-storage-blob-12.14.0 boto3-1.24.91 botocore-1.27.91 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 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.12.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 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-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 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.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.2 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-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.4 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-2022.4 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 sortedcontainers-2.4.0 sqlalchemy-1.4.42 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 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-20221013 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221013" for Docker environment INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f7f257af3b0> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f7f257afb90> ==================== 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-1016144505-594308-uj3jdemu.1665931505.594627/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1016144505-594308-uj3jdemu.1665931505.594627/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-1016144505-594308-uj3jdemu.1665931505.594627/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1016144505-594308-uj3jdemu.1665931505.594627/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20221016144505595501-4590' createTime: '2022-10-16T14:45:06.721594Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-10-16_07_45_06-8198481293111413874' location: 'us-central1' name: 'beamapp-jenkins-1016144505-594308-uj3jdemu' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-10-16T14:45:06.721594Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-16_07_45_06-8198481293111413874] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-16_07_45_06-8198481293111413874 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-16_07_45_06-8198481293111413874?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-16_07_45_06-8198481293111413874 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:06.280Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:07.148Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-10-16_07_45_06-8198481293111413874. The number of workers will be between 1 and 1000. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:07.224Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-10-16_07_45_06-8198481293111413874. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:09.295Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.244Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.275Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.351Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.396Z: 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:2022-10-16T14:45:10.436Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.464Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.507Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.541Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:3481>) into Create/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.565Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into Create/FlatMap(<lambda at core.py:3481>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.592Z: JOB_MESSAGE_DETAILED: Fusing consumer Create documents into Create/Map(decode) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.628Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/ParDo(_GenerateObjectIdFn) into Create documents INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.653Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/AddRandomKeys into WriteToMongoDB/ParDo(_GenerateObjectIdFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.684Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into WriteToMongoDB/Reshuffle/AddRandomKeys INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.718Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify into WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.750Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.784Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.815Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.847Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/RemoveRandomKeys into WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.869Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/ParDo(_WriteMongoFn) into WriteToMongoDB/Reshuffle/RemoveRandomKeys INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.907Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.946Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:10.978Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:11.013Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:11.158Z: JOB_MESSAGE_DEBUG: Executing wait step start13 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:11.233Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:11.275Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:11.300Z: JOB_MESSAGE_BASIC: Starting 5 workers in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:11.684Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:11.752Z: JOB_MESSAGE_DEBUG: Value "WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:11.811Z: 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:Job 2022-10-16_07_45_06-8198481293111413874 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:28.157Z: 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:2022-10-16T14:45:58.897Z: 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:2022-10-16T14:46:24.154Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:48:41.284Z: 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:2022-10-16T14:48:41.321Z: 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:2022-10-16T14:48:46.362Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing worker pool from 5 to 1. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:54:19.852Z: 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:2022-10-16T14:54:19.906Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:54:20.198Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:54:20.280Z: 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:2022-10-16T14:55:39.314Z: 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:2022-10-16T14:55:39.381Z: JOB_MESSAGE_DEBUG: Executing success step success11 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:55:39.460Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:55:39.518Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:55:39.543Z: 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=2a0619ef-3842-4197-a9f8-7c0b788cfe1f, 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: 933334 log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-933334.out.log ----- Last 20 lines from daemon log file - daemon-933334.out.log ----- INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:11.752Z: JOB_MESSAGE_DEBUG: Value "WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:11.811Z: 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:Job 2022-10-16_07_45_06-8198481293111413874 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:45:28.157Z: 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:2022-10-16T14:45:58.897Z: 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:2022-10-16T14:46:24.154Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:48:41.284Z: 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:2022-10-16T14:48:41.321Z: 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:2022-10-16T14:48:46.362Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing worker pool from 5 to 1. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:54:19.852Z: 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:2022-10-16T14:54:19.906Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:54:20.198Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:54:20.280Z: 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:2022-10-16T14:55:39.314Z: 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:2022-10-16T14:55:39.381Z: JOB_MESSAGE_DEBUG: Executing success step success11 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:55:39.460Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:55:39.518Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-16T14:55:39.543Z: 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 --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
