See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/962/display/redirect>
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with status 'done' Created wheel for apache-beam: filename=apache_beam-2.48.0.dev0-py3-none-any.whl size=3055111 sha256=d01f659e534bf6ec0b49290ca22fc1330ad3b88cf3871e6c47875d16909ab728 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, azure-storage-blob, apache-beam, msal, 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, msal-extensions, google-cloud-pubsublite, azure-identity Successfully installed PyJWT-2.6.0 apache-beam-2.48.0.dev0 attrs-22.2.0 azure-core-1.26.4 azure-identity-1.12.0 azure-storage-blob-12.15.0 boto3-1.26.111 botocore-1.29.111 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.1.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-40.0.1 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pandas-1.3.5 parameterized-0.8.1 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.6 pyarrow-11.0.0 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-7.3.0 pytest-timeout-2.1.0 pytest-xdist-3.2.1 python-dateutil-2.8.2 pytz-2023.3 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-8.2.2 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:2.48.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230327 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230327" 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-1-0412150211.1681312077.404226/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-1-0412150211.1681312077.404226/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-1-0412150211.1681312077.404226/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-1-0412150211.1681312077.404226/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20230412150757405277-5370' createTime: '2023-04-12T15:07:58.430141Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-04-12_08_07_57-12700188166399323050' location: 'us-central1' name: 'load-tests-python-dataflow-streaming-combine-1-0412150211' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-04-12T15:07:58.430141Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-04-12_08_07_57-12700188166399323050] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-04-12_08_07_57-12700188166399323050 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-04-12_08_07_57-12700188166399323050?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-04-12_08_07_57-12700188166399323050 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:03.816Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.036Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.059Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.122Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.185Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.204Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.259Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.307Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.335Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.363Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.388Z: 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:2023-04-12T15:08:06.417Z: 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:2023-04-12T15:08:06.443Z: 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:2023-04-12T15:08:06.473Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.502Z: 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:2023-04-12T15:08:06.525Z: 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:2023-04-12T15:08:06.560Z: 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:2023-04-12T15:08:06.593Z: 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:2023-04-12T15:08:06.625Z: 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:2023-04-12T15:08:06.659Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.691Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.798Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.818Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.847Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.879Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:06.910Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:07.064Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:07.088Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:07.120Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-04-12_08_07_57-12700188166399323050 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:08:39.608Z: 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:2023-04-12T15:08:56.106Z: 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:2023-04-12T15:09:23.722Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:09:31.697Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-04-12T15:25:48.793Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated. FATAL: command execution failed java.io.IOException: Backing channel 'apache-beam-jenkins-5' is disconnected. at hudson.remoting.RemoteInvocationHandler.channelOrFail(RemoteInvocationHandler.java:215) at hudson.remoting.RemoteInvocationHandler.invoke(RemoteInvocationHandler.java:285) at com.sun.proxy.$Proxy139.isAlive(Unknown Source) at hudson.Launcher$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$AbstractBuildExecution.run(AbstractBuild.java:522) at hudson.model.Run.execute(Run.java:1896) at hudson.model.FreeStyleBuild.run(FreeStyleBuild.java:44) at hudson.model.ResourceController.execute(ResourceController.java:101) at hudson.model.Executor.run(Executor.java:442) Caused by: java.io.IOException: Pipe closed after 0 cycles at org.apache.sshd.common.channel.ChannelPipedInputStream.read(ChannelPipedInputStream.java:126) at org.apache.sshd.common.channel.ChannelPipedInputStream.read(ChannelPipedInputStream.java:105) at hudson.remoting.FlightRecorderInputStream.read(FlightRecorderInputStream.java:94) at hudson.remoting.ChunkedInputStream.readHeader(ChunkedInputStream.java:75) at hudson.remoting.ChunkedInputStream.readUntilBreak(ChunkedInputStream.java:105) at hudson.remoting.ChunkedCommandTransport.readBlock(ChunkedCommandTransport.java:39) at hudson.remoting.AbstractSynchronousByteArrayCommandTransport.read(AbstractSynchronousByteArrayCommandTransport.java:34) at hudson.remoting.SynchronousCommandTransport$ReaderThread.run(SynchronousCommandTransport.java:61) Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure ERROR: apache-beam-jenkins-5 is offline; cannot locate jdk_1.8_latest --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
