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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2021/04/10 13:10:42 UTC
Build failed in Jenkins: beam_LoadTests_Python_GBK_Dataflow_Batch
#679
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_Dataflow_Batch/679/display/redirect?page=changes>
Changes:
[suztomo] No build cache
[suztomo] Revert build cache change
[noreply] [BEAM-11483] Spark PostCommit Test Improvements - creating one Jenkins
[noreply] [BEAM-12104] Pin Dataflow wordcount to ubuntu 18.04 (#14451)
[noreply] Avoid multiple lookups in ConcurrentHashMap by utilizing compute*
[noreply] Optimize ExecutionStateTracker reset to not iterate over all trackers
[noreply] [BEAM-12142] Reduce ThreadLocal interaction with MetricsEnvironment by
[noreply] [BEAM-12117] When reusing QueueingBeamFnDataClient, reset it to avoid
[noreply] Remove references to deprecated methods fromstring and tostring (#14453)
[Boyuan Zhang] Fix PubsubReader to populate message id correctly
[noreply] Misc sphinx fixes (#14485)
[noreply] [BEAM-12024] Move examples.wordcount_dataframe to examples.dataframe,
[noreply] [BEAM-9547] Implement Series.is_unique property (#14361)
[noreply] Merge pull request #14472: [BEAM-12148] Align Spark runner jackson
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: pyasn1, urllib3, rsa, pycparser, pyasn1-modules, idna, chardet, certifi, cachetools, wcwidth, requests, pytz, python-dateutil, oauthlib, more-itertools, jmespath, googleapis-common-protos, google-auth, cffi, attrs, atomicwrites, websocket-client, requests-oauthlib, pytest, numpy, isodate, httplib2, grpcio-gcp, google-crc32c, google-api-core, docopt, botocore, apipkg, wrapt, typing-extensions, s3transfer, pytest-forked, pymongo, pydot, pyarrow, proto-plus, pbr, oauth2client, nose, msrest, hdfs, grpc-google-iam-v1, greenlet, google-resumable-media, google-cloud-core, fasteners, fastavro, execnet, docker, dill, deprecation, cryptography, crcmod, azure-core, avro-python3, testcontainers, tenacity, sqlalchemy, requests-mock, pyyaml, pytest-xdist, pytest-timeout, pyhamcrest, psycopg2-binary, parameterized, pandas, nose-xunitmp, mock, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery, google-apitools, freezegun, boto3, azure-storage-blob, apache-beam
Successfully installed apache-beam-2.30.0.dev0 apipkg-1.5 atomicwrites-1.4.0 attrs-20.3.0 avro-python3-1.9.2.1 azure-core-1.13.0 azure-storage-blob-12.8.0 boto3-1.17.49 botocore-1.20.49 cachetools-4.2.1 certifi-2020.12.5 cffi-1.14.5 chardet-4.0.0 crcmod-1.7 cryptography-3.4.7 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.0 docopt-0.6.2 execnet-1.8.0 fastavro-1.3.5 fasteners-0.16 freezegun-1.1.0 google-api-core-1.26.3 google-apitools-0.5.31 google-auth-1.28.1 google-cloud-bigquery-2.13.1 google-cloud-bigtable-1.7.0 google-cloud-core-1.6.0 google-cloud-datastore-1.15.3 google-cloud-dlp-1.0.0 google-cloud-language-1.3.0 google-cloud-pubsub-1.7.0 google-cloud-spanner-1.19.1 google-cloud-videointelligence-1.16.1 google-cloud-vision-1.0.0 google-crc32c-1.1.2 google-resumable-media-1.2.0 googleapis-common-protos-1.53.0 greenlet-1.0.0 grpc-google-iam-v1-0.12.3 grpcio-gcp-0.2.2 hdfs-2.6.0 httplib2-0.19.1 idna-2.10 isodate-0.6.0 jmespath-0.10.0 mock-2.0.0 more-itertools-8.7.0 msrest-0.6.21 nose-1.3.7 nose-xunitmp-0.4.1 numpy-1.20.2 oauth2client-4.1.3 oauthlib-3.1.0 pandas-1.2.3 parameterized-0.7.5 pbr-5.5.1 proto-plus-1.18.1 psycopg2-binary-2.8.6 pyarrow-3.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.20 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.11.3 pytest-4.6.11 pytest-forked-1.3.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.1 pytz-2021.1 pyyaml-5.4.1 requests-2.25.1 requests-mock-1.8.0 requests-oauthlib-1.3.0 rsa-4.7.2 s3transfer-0.3.6 sqlalchemy-1.4.7 tenacity-5.1.5 testcontainers-3.4.0 typing-extensions-3.7.4.3 urllib3-1.26.4 wcwidth-0.2.5 websocket-client-0.58.0 wrapt-1.12.1
> 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_Dataflow_Batch/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.30.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20210331
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20210331" 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-batch-gbk-1-0410100240.1618057749.114512/pipeline.pb...
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-batch-gbk-1-0410100240.1618057749.114512/pipeline.pb 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-batch-gbk-1-0410100240.1618057749.114512/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-batch-gbk-1-0410100240.1618057749.114512/dataflow_python_sdk.tar in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=1', '--fanout=1']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=1', '--fanout=1']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2021-04-10T12:29:10.928836Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2021-04-10_05_29_09-16064391038909247951'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-gbk-1-0410100240'
projectId: 'apache-beam-testing'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2021-04-10_05_29_09-16064391038909247951]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2021-04-10_05_29_09-16064391038909247951
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2021-04-10_05_29_09-16064391038909247951?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-04-10_05_29_09-16064391038909247951 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:15.990Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-1 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.625Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.660Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey 0: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.698Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.727Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.790Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.821Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.847Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.871Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.907Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/Reify into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.940Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/Write into GroupByKey 0/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:16.974Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/GroupByWindow into GroupByKey 0/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.008Z: JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.054Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.078Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.118Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.136Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.159Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.183Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.295Z: JOB_MESSAGE_DEBUG: Executing wait step start13
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.462Z: JOB_MESSAGE_BASIC: Executing operation GroupByKey 0/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.520Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:17.554Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:18.257Z: JOB_MESSAGE_BASIC: Finished operation GroupByKey 0/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:18.317Z: JOB_MESSAGE_DEBUG: Value "GroupByKey 0/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:18.382Z: JOB_MESSAGE_BASIC: Executing operation Read+Measure time: Start+Assign timestamps+GroupByKey 0/Reify+GroupByKey 0/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-04-10_05_29_09-16064391038909247951 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:29:43.965Z: 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:2021-04-10T12:30:05.690Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:30:35.750Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T12:30:35.779Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:03:55.676Z: JOB_MESSAGE_BASIC: Finished operation Read+Measure time: Start+Assign timestamps+GroupByKey 0/Reify+GroupByKey 0/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:03:56.003Z: JOB_MESSAGE_BASIC: Executing operation GroupByKey 0/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:03:56.067Z: JOB_MESSAGE_BASIC: Finished operation GroupByKey 0/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:03:56.143Z: JOB_MESSAGE_BASIC: Executing operation GroupByKey 0/Read+GroupByKey 0/GroupByWindow+Ungroup 0+Measure latency 0+Measure time: End 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:08:30.147Z: JOB_MESSAGE_BASIC: Finished operation GroupByKey 0/Read+GroupByKey 0/GroupByWindow+Ungroup 0+Measure latency 0+Measure time: End 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:08:30.231Z: JOB_MESSAGE_DEBUG: Executing success step success11
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:08:30.498Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:08:30.543Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:08:30.563Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:09:19.411Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 5 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:09:19.446Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-04-10T13:09:19.469Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-04-10_05_29_09-16064391038909247951 is in state JOB_STATE_DONE
INFO:apache_beam.runners.dataflow.dataflow_metrics:Distribution metric sum value seems to have overflowed integer_value range, the correctness of sum or mean value may not be guaranteed: <JsonValue
object_value: <JsonObject
properties: [<Property
key: 'mean'
value: <JsonValue
double_value: 9224990096820560.0>>, <Property
key: 'max'
value: <JsonValue
integer_value: 9224990096959788>>, <Property
key: 'sum'
value: <JsonValue
double_value: 2.3615974647860634e+18>>, <Property
key: 'min'
value: <JsonValue
integer_value: 9224990096691386>>, <Property
key: 'count'
value: <JsonValue
integer_value: 256>>]>>
INFO:apache_beam.runners.dataflow.dataflow_metrics:Distribution metric sum value seems to have overflowed integer_value range, the correctness of sum or mean value may not be guaranteed: <JsonValue
object_value: <JsonObject
properties: [<Property
key: 'sum'
value: <JsonValue
double_value: 2.3615974647860634e+18>>, <Property
key: 'min'
value: <JsonValue
integer_value: 9224990096691386>>, <Property
key: 'max'
value: <JsonValue
integer_value: 9224990096959788>>, <Property
key: 'mean'
value: <JsonValue
double_value: 9224990096820560.0>>, <Property
key: 'count'
value: <JsonValue
integer_value: 256>>]>>
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: 6f75f92baad04c7cb8b07efa848acd66 and timestamp: 1618060173.1656742:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: python_dataflow_batch_gbk_1_runtime Value: 1985
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: python_dataflow_batch_gbk_1_measure_latency_0_count_latency Value: 256
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: python_dataflow_batch_gbk_1_measure_latency_0_max_latency Value: 9224990096959788
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: python_dataflow_batch_gbk_1_measure_latency_0_min_latency Value: 9224990096691386
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: python_dataflow_batch_gbk_1_measure_latency_0_sum_latency Value: 2361597464786063360
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BUILD SUCCESSFUL in 42m 19s
5 actionable tasks: 5 executed
Publishing build scan...
https://gradle.com/s/jp6upwq356cqg
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Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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