See <https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Streaming/779/display/redirect?page=changes>
Changes: [Moritz Mack] Keep Spark version in a single place only (BeamModulePlugin) [noreply] Update release instructions in Python 3.10 (#23702) [noreply] Move Tensorflow Documentation (#23729) [noreply] Bump golang.org/x/text from 0.3.7 to 0.4.0 in /sdks (#23686) [noreply] Unit Content markdown styles (#23592) (#23662) [noreply] Add reopen issue command (#23733) [noreply] Add example of real time Anomaly Detection using RunInference (#23497) [noreply] Support TIMESTAMP type in BigQueryIO with BEAM_ROW output type, and in [noreply] Add PytorchBatchConverter (#23296) [noreply] Pin version to grpcio in build-requirements.txt (#23735) [noreply] Bump up python container versions. (#23716) [noreply] Reduce log flood in Python PostCommit flink task (#23635) [noreply] Speed up check on website links (#23737) [thiagotnunes] tests: fixes SpannerIO unavailable retry test [noreply] Remove yeandy from reviewers (#23753) ------------------------------------------ [...truncated 23.35 KB...] Using cached google_cloud_recommendations_ai-0.7.1-py2.py3-none-any.whl (148 kB) Collecting azure-storage-blob>=12.3.2 Using cached azure_storage_blob-12.14.1-py3-none-any.whl (383 kB) Collecting azure-core>=1.7.0 Using cached azure_core-1.26.0-py3-none-any.whl (178 kB) Collecting freezegun>=0.3.12 Using cached freezegun-1.2.2-py3-none-any.whl (17 kB) Collecting hypothesis<7 Using cached hypothesis-6.56.3-py3-none-any.whl (395 kB) Collecting joblib>=1.0.1 Using cached joblib-1.2.0-py3-none-any.whl (297 kB) Collecting mock<3.0.0,>=1.0.1 Using cached mock-2.0.0-py2.py3-none-any.whl (56 kB) Collecting parameterized<0.9.0,>=0.7.1 Using cached parameterized-0.8.1-py2.py3-none-any.whl (26 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<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.43.0.dev0) (3.9.0) Collecting requests-oauthlib>=0.5.0 Using cached requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB) Collecting isodate>=0.6.0 Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Collecting pyasn1>=0.1.7 Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB) Collecting oauthlib>=3.0.0 Using cached oauthlib-3.2.2-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-2.43.0.dev0-py3-none-any.whl size=2878257 sha256=f8931d8c5a1a8e342e243c3caf3d5f5d2055f418d4787559df401cb7e3bc9006 Stored in directory: /home/jenkins/.cache/pip/wheels/a0/48/d5/c79f878961d315cf20a7fe172ed62d6563f8affca153a46683 Successfully built apache-beam Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.24.94 botocore-1.27.94 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-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.3 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_LoadTests_Python_GBK_reiterate_Dataflow_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:2.43.0.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/load-tests-python-dataflow-streaming-gbk-6-1020125433.1666276666.648723/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-streaming-gbk-6-1020125433.1666276666.648723/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-streaming-gbk-6-1020125433.1666276666.648723/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-streaming-gbk-6-1020125433.1666276666.648723/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20221020143746649712-1317' createTime: '2022-10-20T14:37:47.847252Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-10-20_07_37_47-171162472454815781' location: 'us-central1' name: 'load-tests-python-dataflow-streaming-gbk-6-1020125433' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-10-20T14:37:47.847252Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-20_07_37_47-171162472454815781] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-20_07_37_47-171162472454815781 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-20_07_37_47-171162472454815781?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-20_07_37_47-171162472454815781 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:53.597Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:54.854Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:54.903Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:54.956Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:54.991Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey 0: GroupByKey not followed by a combiner. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.035Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.058Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.120Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.176Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.230Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.263Z: JOB_MESSAGE_DETAILED: Fusing consumer Read/Map(<lambda at iobase.py:908>) into Read/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.295Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.329Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.352Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.387Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.422Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.447Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey 0/ReadStream INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.476Z: JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.503Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.543Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.661Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.709Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.740Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.769Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.799Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.909Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.946Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:56.009Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-20_07_37_47-171162472454815781 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:38:24.501Z: 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:2022-10-20T14:38:49.256Z: 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:2022-10-20T14:39:26.886Z: JOB_MESSAGE_DETAILED: Workers have started successfully. Terminated > Task :sdks:python:apache_beam:testing:load_tests:run FAILED The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=e601cddc-3496-4e05-a15c-dcb020535081, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Streaming/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 3618138 log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-3618138.out.log ----- Last 20 lines from daemon log file - daemon-3618138.out.log ----- INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.387Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.422Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.447Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey 0/ReadStream INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.476Z: JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.503Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.543Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.661Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.709Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.740Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.769Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.799Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.909Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:55.946Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:37:56.009Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-20_07_37_47-171162472454815781 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-20T14:38:24.501Z: 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:2022-10-20T14:38:49.256Z: 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:2022-10-20T14:39:26.886Z: JOB_MESSAGE_DETAILED: Workers have started successfully. 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]
