See <https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/1089/display/redirect?page=changes>
Changes: [noreply] Overview of adding snippets to Playground (#25506) (#25507) ------------------------------------------ [...truncated 38.04 KB...] Collecting iniconfig (from pytest<8.0,>=7.1.2->apache-beam==2.49.0.dev0) Using cached iniconfig-2.0.0-py3-none-any.whl (5.9 kB) Requirement already satisfied: pluggy<2.0,>=0.12 in <https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from pytest<8.0,>=7.1.2->apache-beam==2.49.0.dev0) (1.0.0) Collecting tomli>=1.0.0 (from pytest<8.0,>=7.1.2->apache-beam==2.49.0.dev0) Using cached tomli-2.0.1-py3-none-any.whl (12 kB) Requirement already satisfied: importlib-metadata>=0.12 in <https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from pytest<8.0,>=7.1.2->apache-beam==2.49.0.dev0) (2.1.3) Collecting execnet>=1.1 (from 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docker>=4.0.0->testcontainers[mysql]<4.0.0,>=3.0.3->apache-beam==2.49.0.dev0) Using cached websocket_client-1.5.2-py3-none-any.whl (56 kB) Collecting googleapis-common-protos<2.0dev,>=1.56.2 (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5->google-cloud-bigquery<4,>=2.0.0->apache-beam==2.49.0.dev0) Using cached googleapis_common_protos-1.59.0-py2.py3-none-any.whl (223 kB) Collecting google-crc32c<2.0dev,>=1.0 (from google-resumable-media<3.0dev,>=0.6.0->google-cloud-bigquery<4,>=2.0.0->apache-beam==2.49.0.dev0) Using cached google_crc32c-1.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (32 kB) Requirement already satisfied: zipp>=0.5 in <https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.49.0.dev0) (3.15.0) Collecting PyJWT[crypto]<3,>=1.0.0 (from msal<2.0.0,>=1.20.0->azure-identity<2,>=1.12.0->apache-beam==2.49.0.dev0) Using cached PyJWT-2.7.0-py3-none-any.whl (22 kB) Collecting portalocker<3,>=1.0 (from msal-extensions<2.0.0,>=0.3.0->azure-identity<2,>=1.12.0->apache-beam==2.49.0.dev0) Using cached portalocker-2.7.0-py2.py3-none-any.whl (15 kB) Collecting pyasn1>=0.1.7 (from oauth2client>=1.4.12->google-apitools<0.5.32,>=0.5.31->apache-beam==2.49.0.dev0) Using cached pyasn1-0.5.0-py2.py3-none-any.whl (83 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-2.49.0.dev0-py3-none-any.whl size=3197278 sha256=89a643b69c0e65eeff4d7c94f9ed33955124870d06ead4850679cb7edb74874c Stored in directory: /home/jenkins/.cache/pip/wheels/d1/c9/65/2dcfb578dbb9566e63f5563e55b8c503d2d116c400c6121d1c Successfully built apache-beam Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, regex, pyyaml, python-dateutil, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, proto-plus, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, isodate, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, cachetools, sqlalchemy, scikit-learn, rsa, requests, pymongo, pydot, pyasn1-modules, pandas, httplib2, grpcio-status, google-resumable-media, freezegun, cffi, botocore, attrs, s3transfer, requests_mock, pytest, oauth2client, hypothesis, hdfs, grpc-google-iam-v1, google-auth, docker, cryptography, azure-core, testcontainers, pytest-xdist, pytest-timeout, google-auth-httplib2, google-apitools, google-api-core, boto3, azure-storage-blob, apache-beam, msal, google-cloud-core, msal-extensions, 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, google-cloud-pubsublite, azure-identity Successfully installed PyJWT-2.7.0 apache-beam-2.49.0.dev0 attrs-23.1.0 azure-core-1.27.0 azure-identity-1.13.0 azure-storage-blob-12.16.0 boto3-1.26.146 botocore-1.29.146 cachetools-5.3.1 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.1.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.1 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.3.0 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.1 execnet-1.9.0 fastavro-1.7.4 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.19.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.11.0 google-cloud-bigquery-storage-2.20.0 google-cloud-bigtable-2.17.0 google-cloud-core-2.3.2 google-cloud-datastore-2.15.2 google-cloud-dlp-3.12.1 google-cloud-language-2.10.0 google-cloud-pubsub-2.17.1 google-cloud-pubsublite-1.7.0 google-cloud-recommendations-ai-0.10.3 google-cloud-spanner-3.35.1 google-cloud-videointelligence-2.11.2 google-cloud-vision-3.4.2 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6 grpcio-status-1.54.2 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.76.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-5.0.2 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.3.3 pymysql-1.0.3 pyparsing-3.0.9 pytest-7.3.1 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3 requests-2.31.0 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.48 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.16 websocket-client-1.5.2 wrapt-1.15.0 zstandard-0.21.0 > Task :sdks:python:apache_beam:testing:load_tests:run <https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2024: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported self.table_reference.projectId = pcoll.pipeline.options.view_as( <https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/io/gcp/bigquery_file_loads.py>:1169: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported self.project = self.project or p.options.view_as(GoogleCloudOptions).project INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20230601 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20230601" for Docker environment INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f3ac9ed2830> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f3ac9ed3050> ==================== 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/performance-tests-bqio-write-python-batch-10gb0605155918.1685990678.236612/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-bqio-write-python-batch-10gb0605155918.1685990678.236612/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/performance-tests-bqio-write-python-batch-10gb0605155918.1685990678.236612/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-bqio-write-python-batch-10gb0605155918.1685990678.236612/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20230605184438237673-6771' createTime: '2023-06-05T18:44:39.884385Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-06-05_11_44_39-15473355339373496756' location: 'us-central1' name: 'performance-tests-bqio-write-python-batch-10gb0605155918' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-06-05T18:44:39.884385Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-06-05_11_44_39-15473355339373496756] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-06-05_11_44_39-15473355339373496756 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-06-05_11_44_39-15473355339373496756?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-06-05_11_44_39-15473355339373496756 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:39.398Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:43.813Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:44.886Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:44.924Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:44.982Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.018Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Write to BigQuery/BigQueryBatchFileLoads/RemoveTempTables/DeduplicateTables: GroupByKey not followed by a combiner. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.051Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Write to BigQuery/BigQueryBatchFileLoads/GroupByKey: GroupByKey not followed by a combiner. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.150Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Write to BigQuery/BigQueryBatchFileLoads/GroupFilesByTableDestinations: GroupByKey not followed by a combiner. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.184Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Write to BigQuery/BigQueryBatchFileLoads/GroupShardedRows: GroupByKey not followed by a combiner. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.243Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.275Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.330Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.367Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/MapTuple(<lambda at bigquery_file_loads.py:1104>) into Write to BigQuery/BigQueryBatchFileLoads/TriggerLoadJobsWithTempTables/ParDo(TriggerLoadJobs) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.407Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/ParDo(UpdateDestinationSchema) into Write to BigQuery/BigQueryBatchFileLoads/TriggerLoadJobsWithTempTables/ParDo(TriggerLoadJobs) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.438Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/CopyJobNamePrefix into Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Map(decode) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.470Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/GenerateFilePrefix into Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Map(decode) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.501Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/LoadJobNamePrefix into Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Map(decode) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.535Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/SchemaModJobNamePrefix into Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Map(decode) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.568Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_Write-to-BigQuery-BigQueryBatchFileLoads-DestinationFilesUnion_34 for input ref_AppliedPTransform_Write-to-BigQuery-BigQueryBatchFileLoads-ParDo-WriteRecordsToFile-ParDo-WriteR_29.WrittenFiles INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.602Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of Write to BigQuery/BigQueryBatchFileLoads/IdentityWorkaround, through flatten Write to BigQuery/BigQueryBatchFileLoads/DestinationFilesUnion, into producer Write to BigQuery/BigQueryBatchFileLoads/ParDo(WriteRecordsToFile)/ParDo(WriteRecordsToFile) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.637Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/ParDo(PartitionFiles)/ParDo(PartitionFiles) into Write to BigQuery/BigQueryBatchFileLoads/GroupFilesByTableDestinations/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.662Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/TriggerLoadJobsWithTempTables/ParDo(TriggerLoadJobs) into Write to BigQuery/BigQueryBatchFileLoads/ParDo(PartitionFiles)/ParDo(PartitionFiles) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.695Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/GroupByKey/Write into Write to BigQuery/BigQueryBatchFileLoads/MapTuple(<lambda at bigquery_file_loads.py:1104>) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.725Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/MapTuple(<lambda at bigquery_file_loads.py:1109>) into Write to BigQuery/BigQueryBatchFileLoads/GroupByKey/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.762Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/ParDo(TriggerCopyJobs)/ParDo(TriggerCopyJobs) into Write to BigQuery/BigQueryBatchFileLoads/MapTuple(<lambda at bigquery_file_loads.py:1109>) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.794Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/TriggerLoadJobsWithoutTempTables/ParDo(TriggerLoadJobs) into Write to BigQuery/BigQueryBatchFileLoads/ParDo(PartitionFiles)/ParDo(PartitionFiles) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.830Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/RemoveTempTables/DeduplicateTables/Write into Write to BigQuery/BigQueryBatchFileLoads/RemoveTempTables/AddUselessValue INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.866Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/RemoveTempTables/GetTableNames/Keys into Write to BigQuery/BigQueryBatchFileLoads/RemoveTempTables/DeduplicateTables/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.898Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/RemoveTempTables/Delete into Write to BigQuery/BigQueryBatchFileLoads/RemoveTempTables/GetTableNames/Keys INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.930Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_Write-to-BigQuery-BigQueryBatchFileLoads-DestinationFilesUnion_34-u31 for input ref_AppliedPTransform_Write-to-BigQuery-BigQueryBatchFileLoads-IdentityWorkaround_35.None-c29 INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.963Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of Write to BigQuery/BigQueryBatchFileLoads/GroupFilesByTableDestinations/Write, through flatten Write to BigQuery/BigQueryBatchFileLoads/DestinationFilesUnion/Unzipped-1, into producer Write to BigQuery/BigQueryBatchFileLoads/IdentityWorkaround INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:45.992Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/IdentityWorkaround into Write to BigQuery/BigQueryBatchFileLoads/WriteGroupedRecordsToFile INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.021Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/GroupFilesByTableDestinations/Write into Write to BigQuery/BigQueryBatchFileLoads/IdentityWorkaround INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.050Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/FlatMap(<lambda at core.py:3634>) into Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.083Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Map(decode) into Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/FlatMap(<lambda at core.py:3634>) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.112Z: JOB_MESSAGE_DETAILED: Fusing consumer Produce rows/Map(<lambda at iobase.py:908>) into Produce rows/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.136Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Produce rows/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.170Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.202Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages into ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.236Z: JOB_MESSAGE_DETAILED: Fusing consumer Format into Count messages INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.269Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.294Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/RewindowIntoGlobal into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.325Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/AppendDestination into Write to BigQuery/BigQueryBatchFileLoads/RewindowIntoGlobal INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.359Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/ParDo(WriteRecordsToFile)/ParDo(WriteRecordsToFile) into Write to BigQuery/BigQueryBatchFileLoads/AppendDestination INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.392Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/ParDo(_ShardDestinations) into Write to BigQuery/BigQueryBatchFileLoads/ParDo(WriteRecordsToFile)/ParDo(WriteRecordsToFile) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.426Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/GroupShardedRows/Write into Write to BigQuery/BigQueryBatchFileLoads/ParDo(_ShardDestinations) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.461Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/DropShardNumber into Write to BigQuery/BigQueryBatchFileLoads/GroupShardedRows/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.492Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/WriteGroupedRecordsToFile into Write to BigQuery/BigQueryBatchFileLoads/DropShardNumber INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.525Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/ImpulseEmptyPC/FlatMap(<lambda at core.py:3634>) into Write to BigQuery/BigQueryBatchFileLoads/ImpulseEmptyPC/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.553Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to BigQuery/BigQueryBatchFileLoads/ImpulseEmptyPC/Map(decode) into Write to BigQuery/BigQueryBatchFileLoads/ImpulseEmptyPC/FlatMap(<lambda at core.py:3634>) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.632Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.659Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.696Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.728Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:46.956Z: JOB_MESSAGE_DEBUG: Executing wait step start45 INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:47.025Z: JOB_MESSAGE_BASIC: Executing operation Write to BigQuery/BigQueryBatchFileLoads/ImpulseEmptyPC/Impulse+Write to BigQuery/BigQueryBatchFileLoads/ImpulseEmptyPC/FlatMap(<lambda at core.py:3634>)+Write to BigQuery/BigQueryBatchFileLoads/ImpulseEmptyPC/Map(decode) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:47.058Z: JOB_MESSAGE_BASIC: Executing operation Produce rows/Impulse+Produce rows/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:47.072Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:47.092Z: JOB_MESSAGE_BASIC: Executing operation Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Impulse+Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/FlatMap(<lambda at core.py:3634>)+Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Map(decode)+Write to BigQuery/BigQueryBatchFileLoads/CopyJobNamePrefix+Write to BigQuery/BigQueryBatchFileLoads/GenerateFilePrefix+Write to BigQuery/BigQueryBatchFileLoads/LoadJobNamePrefix+Write to BigQuery/BigQueryBatchFileLoads/SchemaModJobNamePrefix INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:44:47.105Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-06-05_11_44_39-15473355339373496756 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:45:07.279Z: 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:2023-06-05T18:45:24.321Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 4 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:45:24.346Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 4, though goal was 5. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:45:34.243Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T18:45:56.786Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.759Z: JOB_MESSAGE_ERROR: Workflow failed. Causes: The Dataflow job appears to be stuck because no **** activity has been seen in the last 1h. Please check the **** logs in Stackdriver Logging. You can also get help with Cloud Dataflow at https://cloud.google.com/dataflow/support. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.865Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-06-05_11_44_39-15473355339373496756. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.879Z: JOB_MESSAGE_ERROR: The Dataflow job appears to be stuck because no **** activity has been seen in the last 1h. Please check the **** logs in Stackdriver Logging. You can also get help with Cloud Dataflow at https://cloud.google.com/dataflow/support. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.885Z: JOB_MESSAGE_BASIC: Finished operation Write to BigQuery/BigQueryBatchFileLoads/ImpulseEmptyPC/Impulse+Write to BigQuery/BigQueryBatchFileLoads/ImpulseEmptyPC/FlatMap(<lambda at core.py:3634>)+Write to BigQuery/BigQueryBatchFileLoads/ImpulseEmptyPC/Map(decode) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.953Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/loadtests/performance-tests-bqio-write-python-batch-10gb0605155918.1685990678.236612/dax-tmp-2023-06-05_11_44_39-15473355339373496756-S08-0-d65229de6977a6c3/[email protected]." INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.959Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/loadtests/performance-tests-bqio-write-python-batch-10gb0605155918.1685990678.236612/dax-tmp-2023-06-05_11_44_39-15473355339373496756-S01-0-d411381e384ba37c/[email protected]." INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.959Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/loadtests/performance-tests-bqio-write-python-batch-10gb0605155918.1685990678.236612/dax-tmp-2023-06-05_11_44_39-15473355339373496756-S01-1-cf5d4f0d7688b737/[email protected]." INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.960Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/loadtests/performance-tests-bqio-write-python-batch-10gb0605155918.1685990678.236612/dax-tmp-2023-06-05_11_44_39-15473355339373496756-S01-3-a219f7eb2d0b49b7/[email protected]." INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.963Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/loadtests/performance-tests-bqio-write-python-batch-10gb0605155918.1685990678.236612/dax-tmp-2023-06-05_11_44_39-15473355339373496756-S01-2-f64a6684c476fdb9/[email protected]." INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.973Z: JOB_MESSAGE_WARNING: S08:Produce rows/Impulse+Produce rows/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing failed. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.985Z: JOB_MESSAGE_WARNING: S01:Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Impulse+Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/FlatMap(<lambda at core.py:3634>)+Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Map(decode)+Write to BigQuery/BigQueryBatchFileLoads/CopyJobNamePrefix+Write to BigQuery/BigQueryBatchFileLoads/GenerateFilePrefix+Write to BigQuery/BigQueryBatchFileLoads/LoadJobNamePrefix+Write to BigQuery/BigQueryBatchFileLoads/SchemaModJobNamePrefix failed. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:47.999Z: JOB_MESSAGE_BASIC: Finished operation Produce rows/Impulse+Produce rows/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:48.011Z: JOB_MESSAGE_BASIC: Finished operation Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Impulse+Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/FlatMap(<lambda at core.py:3634>)+Write to BigQuery/BigQueryBatchFileLoads/ImpulseSingleElementPC/Map(decode)+Write to BigQuery/BigQueryBatchFileLoads/CopyJobNamePrefix+Write to BigQuery/BigQueryBatchFileLoads/GenerateFilePrefix+Write to BigQuery/BigQueryBatchFileLoads/LoadJobNamePrefix+Write to BigQuery/BigQueryBatchFileLoads/SchemaModJobNamePrefix INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:48.357Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:48.400Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:44:48.421Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:47:14.887Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 5 to 0. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:47:14.927Z: JOB_MESSAGE_BASIC: Worker pool stopped. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-05T19:47:14.955Z: JOB_MESSAGE_DEBUG: Tearing down pending resources... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-06-05_11_44_39-15473355339373496756 is in state JOB_STATE_FAILED ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-06-05_11_44_39-15473355339373496756?project=<ProjectId> INFO:apache_beam.io.gcp.tests.utils:Clean up a BigQuery table with project: apache-beam-testing, dataset: beam_performance, table: bqio_write_10GB. Traceback (most recent call last): File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,> line 152, in run state = self.result.wait_until_finish(duration=self.timeout_ms) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,> line 1566, in wait_until_finish self) apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error: The Dataflow job appears to be stuck because no **** activity has been seen in the last 1h. Please check the **** logs in Stackdriver Logging. You can also get help with Cloud Dataflow at https://cloud.google.com/dataflow/support. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/io/gcp/tests/utils.py";,> line 102, in delete_bq_table client.delete_table(table_ref) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/google/cloud/bigquery/client.py";,> line 1854, in delete_table timeout=timeout, File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/google/cloud/bigquery/client.py";,> line 813, in _call_api return call() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/google/api_core/retry.py";,> line 354, in retry_wrapped_func on_error=on_error, File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/google/api_core/retry.py";,> line 191, in retry_target return target() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/google/cloud/_http/__init__.py";,> line 494, in api_request raise exceptions.from_http_response(response) google.api_core.exceptions.NotFound: 404 DELETE https://bigquery.googleapis.com/bigquery/v2/projects/apache-beam-testing/datasets/beam_performance/tables/bqio_write_10GB?prettyPrint=false: Not found: Table apache-beam-testing:beam_performance.bqio_write_10GB During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/usr/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/io/gcp/bigquery_write_perf_test.py";,> line 107, in <module> BigQueryWritePerfTest().run() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,> line 156, in run self.cleanup() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/io/gcp/bigquery_write_perf_test.py";,> line 102, in cleanup self.project_id, self.output_dataset, self.output_table) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/utils/retry.py";,> line 275, in wrapper return fun(*args, **kwargs) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/io/gcp/tests/utils.py";,> line 104, in delete_bq_table raise GcpTestIOError('BigQuery table does not exist: %s' % table_ref) apache_beam.io.gcp.tests.utils.GcpTestIOError: BigQuery table does not exist: apache-beam-testing.beam_performance.bqio_write_10GB > Task :sdks:python:apache_beam:testing:load_tests:run FAILED FAILURE: Build failed with an exception. * Where: Build file '<https://ci-beam.apache.org/job/beam_PerformanceTests_BiqQueryIO_Write_Python_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63 * What went wrong: Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'. > error occurred * Try: > Run with --stacktrace option to get the stack trace. > Run with --info or --debug option to get more log output. * Get more help at https://help.gradle.org Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0. You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins. See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 1h 4m 45s 15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date Publishing build scan... https://ge.apache.org/s/2fjztrnmuaxgo 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]
