See <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/865/display/redirect?page=changes>
Changes: [Moritz Mack] Remove obsolete sparkRunner task from hadoop-format: not triggered, no [noreply] Use Flink 1.13 for load tests (#23767) [Kenneth Knowles] Re-enable PubsubTableProviderIT.testSQLSelectsArrayAttributes [noreply] Remove obsolete native text io translation. (#23549) [noreply] Eliminate nullness errors from GenerateSequence (#23744) [noreply] Add logos to case-studies "Also Used By" (#23781) [noreply] Avoid pickling unstable reference to moved proto classes. (#23739) [Robert Bradshaw] Unskip test_generated_class_pickle for cloudpickle. [noreply] Allow local packages in requirements.txt dependency list. (#23684) [noreply] Revert "Update BQIO to a single scheduled executor service reduce [noreply] Updates Python test expansion service to use Cloud Pickle (#23786) [noreply] Merge pull request #23795: Revert 23234: issue #23794 ------------------------------------------ [...truncated 56.51 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 certifi>=2017.4.17 Using cached certifi-2022.9.24-py3-none-any.whl (161 kB) Collecting charset-normalizer<3,>=2 Using cached charset_normalizer-2.1.1-py3-none-any.whl (39 kB) Collecting urllib3<1.27,>=1.21.1 Using cached urllib3-1.26.12-py2.py3-none-any.whl (140 kB) Collecting idna<4,>=2.5 Using cached idna-3.4-py3-none-any.whl (61 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 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 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 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-1.49.1-py3-none-any.whl (14 kB) 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_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.44.0.dev0) (3.9.0) Collecting isodate>=0.6.0 Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Collecting requests-oauthlib>=0.5.0 Using cached requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 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-3.2.2-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=2878709 sha256=6ca47185b735a448450afecc17ba18f88008d12fba7607bba9196b01d5e6fcce Stored in directory: /home/jenkins/.cache/pip/wheels/ab/30/db/7a1d878abb34081c011192312e662d364ee443467dfb553778 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 boto3-1.24.96 botocore-1.27.96 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-2.13.0 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-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-6.56.3 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-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.4 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-2022.5 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:apache_beam:testing:load_tests:run INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild 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-fnapi:beam-master-20221018 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018" for Docker environment 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-psio-python-2gb1022150404.1666453856.976848/pickled_main_session... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/pickled_main_session in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/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-psio-python-2gb1022150404.1666453856.976848/dataflow-****.jar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/dataflow-****.jar in 5 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20221022155056977778-1953' createTime: '2022-10-22T15:51:03.706106Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-10-22_08_51_03-15153008281744971575' location: 'us-central1' name: 'performance-tests-psio-python-2gb1022150404' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-10-22T15:51:03.706106Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-22_08_51_03-15153008281744971575] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-22_08_51_03-15153008281744971575 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_08_51_03-15153008281744971575?project=apache-beam-testing INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log: INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_08_51_03-15153008281744971575?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-22_08_51_03-15153008281744971575 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:11.003Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:16.806Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:20.085Z: 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:2022-10-22T15:51:21.828Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.498Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.535Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.564Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.589Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.615Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.651Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.675Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at iobase.py:908>) into Create input/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.699Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Create input/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.721Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.748Z: JOB_MESSAGE_DETAILED: Fusing consumer Format to pubsub message in bytes into ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.782Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub message in bytes INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.808Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.835Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.935Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.982Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.016Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.048Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.082Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.153Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.175Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.233Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:52:04.383Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:52:33.027Z: JOB_MESSAGE_DETAILED: Workers have started successfully. WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2022-10-22_08_51_03-15153008281744971575 after 724 seconds INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: 8ccee0a2fd214e218cef8908d159c4b1 and timestamp: 1666454786.7062252: INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: pubsub_io_perf_write_runtime Value: 282 INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild 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-fnapi:beam-master-20221018 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018" for Docker environment 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.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/pickled_main_session... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/pickled_main_session in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/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-psio-python-2gb1022150404.1666454791.270981/dataflow-****.jar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/dataflow-****.jar in 5 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20221022160631271906-8795' createTime: '2022-10-22T16:06:37.655271Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-10-22_09_06_37-13225069035735778107' location: 'us-central1' name: 'performance-tests-psio-python-2gb1022150404' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-10-22T16:06:37.655271Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-22_09_06_37-13225069035735778107] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-22_09_06_37-13225069035735778107 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_09_06_37-13225069035735778107?project=apache-beam-testing INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log: INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_09_06_37-13225069035735778107?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-22_09_06_37-13225069035735778107 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:43.314Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:44.982Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.005Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.108Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.209Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.247Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.326Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.391Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.463Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.493Z: JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) into Read from pubsub/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.527Z: JOB_MESSAGE_DETAILED: Fusing consumer Map(<lambda at pubsub_io_perf_test.py:171>) into Read from pubsub/Map(_from_proto_str) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.564Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at pubsub_io_perf_test.py:171>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.600Z: JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.640Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.674Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/ConvertToAccumulators into Count messages/KeyWithVoid INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.707Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/GroupByKey/WriteStream into Count messages/CombinePerKey/Combine/ConvertToAccumulators INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.739Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into Count messages/CombinePerKey/GroupByKey/ReadStream INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.762Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.800Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count messages/CombinePerKey/Combine/Extract INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.835Z: JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.872Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert to bytes INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.904Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.943Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.981Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.022Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.055Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.091Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.177Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.224Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.276Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:07:04.523Z: 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:2022-10-22T16:07:28.832Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:08:04.416Z: JOB_MESSAGE_DETAILED: Workers have started successfully. WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2022-10-22_09_06_37-13225069035735778107 after 724 seconds ERROR:apache_beam.io.gcp.tests.pubsub_matcher:Timeout after 900 sec. Received 0 messages from projects/apache-beam-testing/subscriptions/pubsub_io_performance_da588dad-4066-4b04-8ceb-8ed2c2a3ed21_read_matcher. Traceback (most recent call last): Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_08_51_03-15153008281744971575?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_09_06_37-13225069035735778107?project=apache-beam-testing 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_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/io/gcp/pubsub_io_perf_test.py";,> line 223, in <module> PubsubReadPerfTest().run() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,> line 149, in run self.result = self.pipeline.run() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/test_pipeline.py";,> line 114, in run False if self.not_use_test_runner_api else test_runner_api)) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,> line 574, in run return self.runner.run_pipeline(self, self._options) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/test_dataflow_runner.py";,> line 70, in run_pipeline hc_assert_that(self.result, pickler.loads(on_success_matcher)) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py";,> line 44, in assert_that _assert_match(actual=arg1, matcher=arg2, reason=arg3) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py";,> line 60, in _assert_match raise AssertionError(description) AssertionError: Expected: (Expected 1 messages.) but: Expected 1 messages. Got 0 messages. Diffs (item, count): Expected but not in actual: dict_items([(b'2097152', 1)]) Unexpected: dict_items([]) Unexpected (with all details): [] > 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_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71 * 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 47m 31s 92 actionable tasks: 57 executed, 33 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/gw53dbdgxil7k 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]
