See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/753/display/redirect?page=changes>
Changes: [yathu] Fix Beam Sql does not support CHAR, VARCHAR, BINARY, VARBINARY [noreply] Add brief descriptions about end-to-end ML Pipelines (#23880) [yathu] Remove debug leftover [noreply] Disable `optimizeOuterThis` when building with JDK > 8 (#23902) [noreply] [Playground] [Backend] Update playground cache component to increase [noreply] Upgrade Akvelon editor (#23415) (#23900) [noreply] [Website] update additional case studies layout and scss (#23555) [noreply] [Website] add shuffle to logos (#23847) [noreply] Clean-up DatastoreV1.java (#23892) [noreply] Add LogElements as a Beam PTransform (#23879) [noreply] Fix incorrect object size calculation in StateCache (#23000) (#23886) ------------------------------------------ [...truncated 318.00 KB...] Using cached SQLAlchemy-1.4.42-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 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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) Requirement already satisfied: py in <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from pytest-forked->pytest-xdist<3,>=2.5.0->apache-beam==2.44.0.dev0) (1.11.0) Collecting oauthlib>=3.0.0 Using cached oauthlib-3.2.2-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-2.44.0.dev0-py3-none-any.whl size=2905856 sha256=e961f730b6a3f66e96815c41b7941a944921973c52041f70a152869e6adf93c3 Stored in directory: /home/jenkins/.cache/pip/wheels/c1/f5/a3/8f5ec48b796c1b690bd340ec7688fb88886afa83d7f14ff737 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-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.25.5 botocore-1.28.5 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-1.0.0 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.14.0 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-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 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-1.56.4 greenlet-2.0.0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.4 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-3.2.2 objsize-0.5.2 orjson-3.8.1 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 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-3.12.3 pymysql-1.0.2 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-1.4.42 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-0.19.0 > Task :sdks:python:apache_beam:testing:load_tests:run INFO:root:10 out of 1000 total elements in each window will be accessed. INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_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:2.44.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221021 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221021" for Docker environment INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f19823e5560> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f19823e5d40> ==================== 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-sideinput-7-1101100314.1667305908.680871/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-sideinput-7-1101100314.1667305908.680871/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-sideinput-7-1101100314.1667305908.680871/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-sideinput-7-1101100314.1667305908.680871/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20221101123148681822-1110' createTime: '2022-11-01T12:31:49.916695Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-11-01_05_31_49-5688726460312716501' location: 'us-central1' name: 'load-tests-python-dataflow-batch-sideinput-7-1101100314' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-11-01T12:31:49.916695Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-11-01_05_31_49-5688726460312716501] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-11-01_05_31_49-5688726460312716501 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-01_05_31_49-5688726460312716501?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-11-01_05_31_49-5688726460312716501 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:49.438Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:52.349Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:53.920Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:53.966Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.024Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.047Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.071Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.093Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.135Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.164Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.199Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.234Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:3481>) into Create/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.254Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at core.py:3481>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.281Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Create/MaybeReshuffle/Reshuffle/AddRandomKeys INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.317Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.351Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.389Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.422Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.446Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.469Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.490Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Map(decode) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.513Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.536Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-input_17/PairWithRestriction into Get synthetic SDF options INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.559Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-input_17/SplitWithSizing into ref_AppliedPTransform_Generate-input_17/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.587Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(MappingSideInputTestDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.628Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.654Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.688Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.723Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.853Z: JOB_MESSAGE_DEBUG: Executing wait step start21 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.910Z: JOB_MESSAGE_BASIC: Executing operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.949Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:54.982Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-11-01_05_31_49-5688726460312716501 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:55.342Z: JOB_MESSAGE_BASIC: Finished operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:55.397Z: JOB_MESSAGE_DEBUG: Value "Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:31:55.456Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3481>)+Create/MaybeReshuffle/Reshuffle/AddRandomKeys+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:32:17.179Z: 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:2022-11-01T12:32:38.043Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 10 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:33:04.424Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:36:56.360Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3481>)+Create/MaybeReshuffle/Reshuffle/AddRandomKeys+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:36:56.431Z: JOB_MESSAGE_BASIC: Executing operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:36:56.898Z: JOB_MESSAGE_BASIC: Finished operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:36:56.955Z: JOB_MESSAGE_BASIC: Executing operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Create/Map(decode)+Assign timestamps+Apply windows+Collect start time metrics+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_17/PairWithRestriction+ref_AppliedPTransform_Generate-input_17/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:37:30.384Z: JOB_MESSAGE_BASIC: Finished operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Create/Map(decode)+Assign timestamps+Apply windows+Collect start time metrics+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_17/PairWithRestriction+ref_AppliedPTransform_Generate-input_17/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:37:30.442Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.None" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:37:30.469Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate-input_17-split-with-sizing-out3" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:37:30.521Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate-input_17/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.227Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate-input_17/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.280Z: JOB_MESSAGE_DEBUG: Value "Generate input.None" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.327Z: JOB_MESSAGE_BASIC: Executing operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.399Z: JOB_MESSAGE_BASIC: Finished operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.464Z: JOB_MESSAGE_DEBUG: Value "ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn).out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.519Z: JOB_MESSAGE_BASIC: Executing operation ParDo(MappingSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:40:28.418Z: JOB_MESSAGE_BASIC: Finished operation ParDo(MappingSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:40:28.474Z: JOB_MESSAGE_DEBUG: Executing success step success19 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:40:28.538Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:40:28.588Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:40:28.618Z: JOB_MESSAGE_BASIC: Stopping **** pool... Terminated The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=3adb73b2-255e-4123-ab44-c7110c3b4e03, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 2878835 log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-2878835.out.log ----- Last 20 lines from daemon log file - daemon-2878835.out.log ----- INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:36:56.431Z: JOB_MESSAGE_BASIC: Executing operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:36:56.898Z: JOB_MESSAGE_BASIC: Finished operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:36:56.955Z: JOB_MESSAGE_BASIC: Executing operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Create/Map(decode)+Assign timestamps+Apply windows+Collect start time metrics+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_17/PairWithRestriction+ref_AppliedPTransform_Generate-input_17/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:37:30.384Z: JOB_MESSAGE_BASIC: Finished operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Create/Map(decode)+Assign timestamps+Apply windows+Collect start time metrics+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_17/PairWithRestriction+ref_AppliedPTransform_Generate-input_17/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:37:30.442Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.None" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:37:30.469Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate-input_17-split-with-sizing-out3" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:37:30.521Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate-input_17/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.227Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate-input_17/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.280Z: JOB_MESSAGE_DEBUG: Value "Generate input.None" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.327Z: JOB_MESSAGE_BASIC: Executing operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.399Z: JOB_MESSAGE_BASIC: Finished operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.464Z: JOB_MESSAGE_DEBUG: Value "ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn).out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:38:19.519Z: JOB_MESSAGE_BASIC: Executing operation ParDo(MappingSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:40:28.418Z: JOB_MESSAGE_BASIC: Finished operation ParDo(MappingSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:40:28.474Z: JOB_MESSAGE_DEBUG: Executing success step success19 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:40:28.538Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:40:28.588Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-01T12:40:28.618Z: JOB_MESSAGE_BASIC: Stopping **** 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]
