See <https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Streaming/559/display/redirect>
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built apache-beam Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, certifi, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, tenacity, rsa, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, pyhamcrest, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, jmespath, isodate, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, cachetools, attrs, atomicwrites, sqlalchemy, requests, pydot, pyarrow, pluggy, pandas, overrides, mock, httplib2, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-api-core, docker, deprecation, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, 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, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite Attempting uninstall: pyparsing Found existing installation: pyparsing 3.0.7 Uninstalling pyparsing-3.0.7: Successfully uninstalled pyparsing-3.0.7 Attempting uninstall: pluggy Found existing installation: pluggy 1.0.0 Uninstalling pluggy-1.0.0: Successfully uninstalled pluggy-1.0.0 Successfully installed apache-beam-2.38.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.23.0 azure-storage-blob-12.10.0 boto3-1.21.18 botocore-1.24.18 cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.0.0 crcmod-1.7 cryptography-36.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.10 fasteners-0.17.3 freezegun-1.2.0 google-api-core-1.31.5 google-apitools-0.5.31 google-auth-1.35.0 google-cloud-bigquery-2.34.2 google-cloud-bigquery-storage-2.13.0 google-cloud-bigtable-1.7.0 google-cloud-core-1.7.2 google-cloud-datastore-1.15.3 google-cloud-dlp-3.6.2 google-cloud-language-1.3.0 google-cloud-pubsub-2.11.0 google-cloud-pubsublite-1.4.1 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.1 google-cloud-videointelligence-1.16.1 google-cloud-vision-1.0.0 google-crc32c-1.3.0 google-resumable-media-2.3.2 googleapis-common-protos-1.55.0 greenlet-1.1.2 grpc-google-iam-v1-0.12.3 grpcio-gcp-0.2.2 grpcio-status-1.44.0 hdfs-2.6.0 httplib2-0.19.1 idna-3.3 isodate-0.6.1 jmespath-0.10.0 mock-2.0.0 more-itertools-8.12.0 msrest-0.6.21 numpy-1.21.5 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.7 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.8.1 pluggy-0.13.1 proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-6.0.1 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 pyparsing-2.4.7 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2021.3 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 sqlalchemy-1.4.32 tenacity-5.1.5 testcontainers-3.4.2 typing-extensions-4.1.1 typing-utils-0.1.0 urllib3-1.26.8 wcwidth-0.2.5 websocket-client-1.3.1 wrapt-1.14.0 > 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. 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INFO:oauth2client.transport:Attempting refresh to obtain initial access_token INFO:oauth2client.transport:Attempting refresh to obtain initial access_token INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-streaming-gbk-6-0314125505.1647268635.706542/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-6-0314125505.1647268635.706542/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-6-0314125505.1647268635.706542/pipeline.pb in 0 seconds. WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=4', '--fanout=1', 'shuffle_mode=appliance'] WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=4', '--fanout=1', 'shuffle_mode=appliance'] INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20220314143715707564-3461' createTime: '2022-03-14T14:37:18.936870Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-03-14_07_37_16-12111091237696815891' location: 'us-central1' name: 'load-tests-python-dataflow-streaming-gbk-6-0314125505' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-03-14T14:37:18.936870Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-03-14_07_37_16-12111091237696815891] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-03-14_07_37_16-12111091237696815891 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-03-14_07_37_16-12111091237696815891?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-03-14_07_37_16-12111091237696815891 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:24.518Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:30.109Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:31.902Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:31.971Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:31.998Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey 0: GroupByKey not followed by a combiner. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.039Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.069Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.130Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.239Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.281Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.331Z: JOB_MESSAGE_DETAILED: Fusing consumer Read/Map(<lambda at iobase.py:898>) into Read/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.360Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read/Map(<lambda at iobase.py:898>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.396Z: 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:2022-03-14T14:37:32.429Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.462Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.527Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.565Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey 0/ReadStream INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.608Z: JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.640Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.676Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.806Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.838Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.870Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.894Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.922Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.974Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:33Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:33.039Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-03-14_07_37_16-12111091237696815891 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:38.696Z: 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:2022-03-14T14:38:13.635Z: 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:2022-03-14T14:38:39.047Z: JOB_MESSAGE_DETAILED: Workers have started successfully. Terminated The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=b6d19c27-d0b4-40a2-a8f1-6b2e9f2a1b12, 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: 446659 log file: /home/jenkins/.gradle/daemon/7.3.2/daemon-446659.out.log ----- Last 20 lines from daemon log file - daemon-446659.out.log ----- INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.462Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.527Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.565Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey 0/ReadStream INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.608Z: JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.640Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.676Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.806Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.838Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.870Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.894Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.922Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.974Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:33Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:33.039Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-03-14_07_37_16-12111091237696815891 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:38.696Z: 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:2022-03-14T14:38:13.635Z: 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:2022-03-14T14:38:39.047Z: 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]
