See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/947/display/redirect>
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/home/jenkins/jenkins-slave/workspace/beam_LoadTests_Python_Combine_Dataflow_Streaming/src/build/gradleenv/1329484227/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.47.0.dev0) (3.15.0) Collecting PyJWT[crypto]<3,>=1.0.0 Using cached PyJWT-2.6.0-py3-none-any.whl (20 kB) Collecting portalocker<3,>=1.0 Using cached portalocker-2.7.0-py2.py3-none-any.whl (15 kB) Collecting pyasn1>=0.1.7 Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 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-2.47.0.dev0-py3-none-any.whl size=3049665 sha256=8b872c97102fe47adc5a1ec7d7aeffb081749b88254fd6e28763cacad37d2a5c Stored in directory: /home/jenkins/.cache/pip/wheels/e6/1f/28/9337974c607f5f016ef124646a645ebf2fb34bdd32df5f9dd8 Successfully built apache-beam Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, 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, attrs, sqlalchemy, scikit-learn, requests, pymongo, pydot, pandas, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-xdist, pytest-timeout, google-cloud-core, google-apitools, boto3, 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google-cloud-core-2.3.2 google-cloud-datastore-2.15.1 google-cloud-dlp-3.12.1 google-cloud-language-2.9.1 google-cloud-pubsub-2.15.2 google-cloud-pubsublite-1.7.0 google-cloud-recommendations-ai-0.10.3 google-cloud-spanner-3.29.0 google-cloud-videointelligence-2.11.1 google-cloud-vision-3.4.1 google-crc32c-1.5.0 google-resumable-media-2.4.1 googleapis-common-protos-1.59.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6 grpcio-status-1.53.0 hdfs-2.7.0 httplib2-0.21.0 hypothesis-6.70.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-5.0.1 msal-1.21.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.8.8 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 portalocker-2.7.0 proto-plus-1.22.2 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-4.3.3 pymysql-1.0.3 pyparsing-3.0.9 pytest-7.2.2 pytest-timeout-2.1.0 pytest-xdist-3.2.1 python-dateutil-2.8.2 pytz-2023.2 pyyaml-6.0 regex-2022.10.31 requests-2.28.2 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-1.4.47 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.15 websocket-client-1.5.1 wrapt-1.15.0 zstandard-0.20.0 > Task :sdks:python:apache_beam:testing:load_tests:run INFO:apache_beam.runners.portability.stager:Copying Beam SDK "/home/jenkins/jenkins-slave/workspace/beam_LoadTests_Python_Combine_Dataflow_Streaming/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:2.47.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230322 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230322" for Docker environment INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/smoketests 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/smoketests/load-tests-python-dataflow-streaming-combine-1-0328150215.1680016068.204805/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0328150215.1680016068.204805/dataflow_python_sdk.tar in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0328150215.1680016068.204805/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0328150215.1680016068.204805/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20230328150748205764-6170' createTime: '2023-03-28T15:07:49.412387Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-03-28_08_07_48-5951913282682976877' location: 'us-central1' name: 'load-tests-python-dataflow-streaming-combine-1-0328150215' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-03-28T15:07:49.412387Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-03-28_08_07_48-5951913282682976877] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-03-28_08_07_48-5951913282682976877 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-03-28_08_07_48-5951913282682976877?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-28_08_07_48-5951913282682976877 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:05.101Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. 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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:06.814Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:06.850Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:06.882Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:06.916Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:06.938Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:06.969Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.004Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators into Combine with Top 0/KeyWithVoid INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.038Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/GroupByKey/WriteStream into Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.060Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.084Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.115Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine with Top 0/CombinePerKey/Combine/Extract INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.158Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.193Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.276Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.317Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.347Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.381Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:07.405Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:08.467Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:08.499Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:08.545Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-03-28_08_07_48-5951913282682976877 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:08:38.796Z: 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:2023-03-28T15:08:53.749Z: 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:2023-03-28T15:09:24.345Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:09:34.478Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-03-28T15:44:17.163Z: 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:2023-03-28T15:52:13.282Z: 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:2023-03-28T15:53:10.412Z: 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:2023-03-28T16:09:15.486Z: 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:2023-03-28T16:19:12.586Z: 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:2023-03-28T16:24:13.631Z: 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:2023-03-28T16:35:16.483Z: 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:2023-03-28T16:47:17.312Z: 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:2023-03-28T16:54:28.499Z: 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:2023-03-28T17:08:33.408Z: 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:2023-03-28T17:24:20.563Z: 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:2023-03-28T17:27:22.505Z: 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:2023-03-28T17:38:34.463Z: 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:2023-03-28T17:43:25.990Z: 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:2023-03-28T17:59:27.332Z: 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:2023-03-28T18:06:28.330Z: 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:2023-03-28T18:14:29.337Z: 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:2023-03-28T18:20:30.195Z: 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:2023-03-28T18:33:31.234Z: 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:2023-03-28T18:35:32.290Z: 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. FATAL: command execution failed java.io.IOException: Backing channel 'apache-beam-jenkins-15' is disconnected. at hudson.remoting.RemoteInvocationHandler.channelOrFail(RemoteInvocationHandler.java:215) at hudson.remoting.RemoteInvocationHandler.invoke(RemoteInvocationHandler.java:285) at com.sun.proxy.$Proxy142.isAlive(Unknown Source) at hudson.Launcher$RemoteLauncher$ProcImpl.isAlive(Launcher.java:1215) at hudson.Launcher$RemoteLauncher$ProcImpl.join(Launcher.java:1207) at hudson.Launcher$ProcStarter.join(Launcher.java:524) at hudson.plugins.gradle.Gradle.perform(Gradle.java:317) at hudson.tasks.BuildStepMonitor$1.perform(BuildStepMonitor.java:20) at hudson.model.AbstractBuild$AbstractBuildExecution.perform(AbstractBuild.java:814) at hudson.model.Build$BuildExecution.build(Build.java:199) at hudson.model.Build$BuildExecution.doRun(Build.java:164) at hudson.model.AbstractBuild$AbstractBuildExecution.run(AbstractBuild.java:522) at hudson.model.Run.execute(Run.java:1896) at hudson.model.FreeStyleBuild.run(FreeStyleBuild.java:44) at hudson.model.ResourceController.execute(ResourceController.java:101) at hudson.model.Executor.run(Executor.java:442) Caused by: hudson.remoting.Channel$OrderlyShutdown: Command Close created at at hudson.remoting.Channel$CloseCommand.execute(Channel.java:1313) at hudson.remoting.Channel$1.handle(Channel.java:606) at hudson.remoting.SynchronousCommandTransport$ReaderThread.run(SynchronousCommandTransport.java:81) Caused by: Command Close created at at hudson.remoting.Command.<init>(Command.java:70) at hudson.remoting.Channel$CloseCommand.<init>(Channel.java:1306) at hudson.remoting.Channel$CloseCommand.<init>(Channel.java:1304) at hudson.remoting.Channel.close(Channel.java:1480) at hudson.remoting.Channel.close(Channel.java:1447) at hudson.remoting.Channel$CloseCommand.execute(Channel.java:1312) ... 2 more Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure ERROR: apache-beam-jenkins-15 is offline; cannot locate jdk_1.8_latest --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
