See
<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/911/display/redirect?page=changes>
Changes:
[bulatkazan] [Website] center the main content #24521
[Moritz Mack] [Spark Dataset runner] Broadcast pipeline options
[noreply] [Playground] Healthcheck was added (#24227)
[noreply] Update dataflow container version for Pandas upgrade (#24532)
[bulatkazan] [Website] update copy icon positioning #24426
[noreply] Update google-cloud-bigquery-storage requirement from <2.14,>=2.6.3 to
[noreply] Bump cloud.google.com/go/pubsub from 1.27.1 to 1.28.0 in /sdks
(#24534)
[noreply] Bump golang.org/x/net from 0.2.0 to 0.3.0 in /sdks (#24544)
[noreply] Precommit python version update (#24526)
[noreply] [CdapIO] Add CdapIO and SparkReceiverIO documentation in website
[relax] fix null pointer exception caused by clearing member variable
[noreply] Adding support for Pubsub Lite Writes in SchemaTransforms (#24359)
[noreply] Disallow using the JRH with Python streaming pipelines (#24513)
[noreply] Add RunInference example for TensorFlow Hub pre-trained model (#24529)
[noreply] update(PULL Request template) remove Choose reviewer (#24540)
[noreply] Revert "Bump actions/setup-java from 3.6.0 to 3.7.0 (#24484)" (#24551)
[noreply] Interface{}->any for more subfolders (#24553)
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(from importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.45.0.dev0)
(3.11.0)
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Requirement already satisfied: py in
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Building wheels for collected packages: apache-beam
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Building wheel for apache-beam (setup.py): finished with status 'done'
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Stored in directory:
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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,
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overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna,
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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,
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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, msal-extensions,
google-cloud-pubsublite, google-cloud-bigquery, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.45.0.dev0 attrs-22.1.0
azure-core-1.26.1 azure-identity-1.12.0 azure-storage-blob-12.14.1
boto3-1.26.24 botocore-1.29.24 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1
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deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.4
execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2
google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.15.0
google-auth-httplib2-0.1.0 google-cloud-bigquery-3.4.0
google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3
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-2.13.11
google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1
google-cloud-spanner-3.24.0 google-cloud-videointelligence-1.16.3
google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0
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grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.60.0 idna-3.4
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python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1
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scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.44
sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0
tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.13 websocket-client-1.4.2
wrapt-1.14.1 zstandard-0.19.0
> 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_PerformanceTests_PubsubIOIT_Python_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:2.45.0.dev
INFO:root:Using provided Python SDK container image:
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221205
INFO:root:Python SDK container image set to
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221205" 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/performance-tests-psio-python-2gb1206225742.1670370667.345121/pickled_main_session...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1206225742.1670370667.345121/pickled_main_session
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1206225742.1670370667.345121/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1206225742.1670370667.345121/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/performance-tests-psio-python-2gb1206225742.1670370667.345121/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1206225742.1670370667.345121/pipeline.pb
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221206235107346091-1243'
createTime: '2022-12-06T23:51:08.556537Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-06_15_51_07-13902945001340875863'
location: 'us-central1'
name: 'performance-tests-psio-python-2gb1206225742'
projectId: 'apache-beam-testing'
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startTime: '2022-12-06T23:51:08.556537Z'
steps: []
tempFiles: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2022-12-06_15_51_07-13902945001340875863]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2022-12-06_15_51_07-13902945001340875863
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-06_15_51_07-13902945001340875863?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log:
INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-06_15_51_07-13902945001340875863?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-06_15_51_07-13902945001340875863 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:17.558Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.061Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.105Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.186Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.227Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.267Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.300Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.336Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.388Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.430Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at
iobase.py:908>) into Create input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.466Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
into Create input/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.496Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
into
ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.535Z:
JOB_MESSAGE_DETAILED: Fusing consumer Format to pubsub message in bytes into
ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.558Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub
message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.583Z:
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure
time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.608Z:
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.727Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.786Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.830Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.866Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:19.899Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:21.017Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:21.052Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:21.092Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:27.231Z:
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:2022-12-06T23:51:53.881Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 1 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:51:53.905Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 1, though goal was 5.
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:52:03.530Z:
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:2022-12-06T23:52:35.236Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T23:52:46.030Z:
JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began
to receive work requests.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for
job 2022-12-06_15_51_07-13902945001340875863 after 720 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results
for test: cd967af993a149e4a66d36a8b513fa5e and timestamp: 1670371586.9460866:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric:
pubsub_io_perf_write_runtime Value: 178
INFO:apache_beam.runners.portability.stager:Copying Beam SDK
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_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:2.45.0.dev
INFO:root:Using provided Python SDK container image:
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221205
INFO:root:Python SDK container image set to
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221205" 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.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1206225742.1670371590.333795/pickled_main_session...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1206225742.1670371590.333795/pickled_main_session
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1206225742.1670371590.333795/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1206225742.1670371590.333795/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/performance-tests-psio-python-2gb1206225742.1670371590.333795/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1206225742.1670371590.333795/pipeline.pb
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221207000630335318-2144'
createTime: '2022-12-07T00:06:31.715829Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-06_16_06_31-13815407838000023541'
location: 'us-central1'
name: 'performance-tests-psio-python-2gb1206225742'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-12-07T00:06:31.715829Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2022-12-06_16_06_31-13815407838000023541]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2022-12-06_16_06_31-13815407838000023541
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-06_16_06_31-13815407838000023541?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log:
INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-06_16_06_31-13815407838000023541?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-06_16_06_31-13815407838000023541 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:40.127Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:42.811Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:42.844Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:42.918Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:42.993Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.028Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.071Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.116Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.170Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.208Z:
JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str)
into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.231Z:
JOB_MESSAGE_DETAILED: Fusing consumer Map(<lambda at
pubsub_io_perf_test.py:170>) into Read from pubsub/Map(_from_proto_str)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.267Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at
pubsub_io_perf_test.py:170>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.295Z:
JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.319Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.355Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count
messages/CombinePerKey/Combine/ConvertToAccumulators into Count
messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.389Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count
messages/CombinePerKey/GroupByKey/WriteStream into Count
messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.422Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into
Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.474Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count
messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.499Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count
messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.523Z:
JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.551Z:
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert
to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.582Z:
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.629Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.679Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.721Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.747Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:43.781Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:44.879Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:44.919Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:44.992Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:06:54.866Z:
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:2022-12-07T00:07:27.648Z:
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:2022-12-07T00:08:05.497Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T00:08:16.788Z:
JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began
to receive work requests.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for
job 2022-12-06_16_06_31-13815407838000023541 after 721 seconds
ERROR:apache_beam.io.gcp.tests.pubsub_matcher:Timeout after 900 sec. Received 0
messages from
projects/apache-beam-testing/subscriptions/pubsub_io_performance_2e4f132b-4698-438b-a787-809e8c0dd845_read_matcher.
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-06_15_51_07-13902945001340875863?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-06_16_06_31-13815407838000023541?project=apache-beam-testing
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/io/gcp/pubsub_io_perf_test.py";,>
line 222, in <module>
PubsubReadPerfTest().run()
File
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,>
line 150, in run
self.result = self.pipeline.run()
File
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/test_pipeline.py";,>
line 114, in run
False if self.not_use_test_runner_api else test_runner_api))
File
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,>
line 577, in run
return self.runner.run_pipeline(self, self._options)
File
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/test_dataflow_runner.py";,>
line 70, in run_pipeline
hc_assert_that(self.result, pickler.loads(on_success_matcher))
File
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py";,>
line 44, in assert_that
_assert_match(actual=arg1, matcher=arg2, reason=arg3)
File
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py";,>
line 60, in _assert_match
raise AssertionError(description)
AssertionError:
Expected: (Expected 1 messages.)
but: Expected 1 messages. Got 0 messages. Diffs (item, count):
Expected but not in actual: dict_items([(b'2097152', 1)])
Unexpected: dict_items([])
Unexpected (with all details): []
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file
'<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'>
line: 63
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with
Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings
and determine if they come from your own scripts or plugins.
See
https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 47m 19s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/phvfbd3fgmuew
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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