See
<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/910/display/redirect?page=changes>
Changes:
[noreply] Update nbconvert requirement in /sdks/python
[noreply] [CdapIO] Add readme for CdapIO. Update readme for SparkReceiverIO.
[Moritz Mack] [Spark Dataset runner] Add @Experimental and reduce visibility
where
[noreply] Fix grafana dashboard id (#24524)
[noreply] [Spark runner] Support running (VR) tests with Java 17 (closes #24400)
[noreply] Replaced deprecated finalize with DoFn Teardown (#24516)
[noreply] Bump cloud.google.com/go/storage from 1.28.0 to 1.28.1 in /sdks
(#24517)
[noreply] add clarifier to error message (#24449)
[noreply] Batch rename requests in fileio.WriteToFiles (#24341)
[noreply] Bump golang.org/x/text from 0.4.0 to 0.5.0 in /sdks (#24520)
[noreply] Support for JsonSchema in Kafka Read Schema Transform (#24272)
[noreply] Run go fmt over full go directory with go 1.19 (#24525)
[noreply] Cloudbuild+manualsetup+playground (#24144)
[noreply] Bump golang.org/x/sys from 0.2.0 to 0.3.0 in /sdks (#24519)
[noreply] Bump cloud.google.com/go/bigtable from 1.18.0 to 1.18.1 in /sdks
[noreply] Update from interface{} -> any for core packages (#24505)
[noreply] Implement FileWriteSchemaTransformConfiguration (#24479)
[noreply] Bump cloud.google.com/go/pubsub from 1.27.0 to 1.27.1 in /sdks
(#24518)
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(75 kB)
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Requirement already satisfied: zipp>=0.5 in
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(3.11.0)
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Requirement already satisfied: py in
<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages>
(from pytest-forked->pytest-xdist<3,>=2.5.0->apache-beam==2.45.0.dev0) (1.11.0)
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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:
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sha256=a297091553bb08cc2f1b89426f4cfd661bc7f2b950af7b4cef86deee0d27af12
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,
pyyaml, python-dateutil, pymysql, pymongo, PyJWT, pyhamcrest, pydot, pycparser,
pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr,
overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna,
httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners,
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,
google-auth-httplib2, google-apitools, google-api-core, docker, cryptography,
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google-cloud-core, boto3, apache-beam, pytest-xdist, 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, 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
boto3-1.26.23 botocore-1.29.23 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1
charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.4
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-2.13.2 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
googleapis-common-protos-1.57.0 greenlet-2.0.1 grpc-google-iam-v1-0.12.4
grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.60.0 idna-3.4
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pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0
python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1
requests-oauthlib-1.3.1 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-1.4.44
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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-20221122
INFO:root:Python SDK container image set to
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221122" 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-2gb1205200441.1670284250.579616/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-2gb1205200441.1670284250.579616/pickled_main_session
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1205200441.1670284250.579616/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-2gb1205200441.1670284250.579616/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1205200441.1670284250.579616/dataflow-****.jar
in 6 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1205200441.1670284250.579616/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1205200441.1670284250.579616/pipeline.pb
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221205235050580648-7524'
createTime: '2022-12-05T23:50:58.355176Z'
currentStateTime: '1970-01-01T00:00:00Z'
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steps: []
tempFiles: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2022-12-05_15_50_57-13105994930053282794]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2022-12-05_15_50_57-13105994930053282794
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-05_15_50_57-13105994930053282794?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-central1/2022-12-05_15_50_57-13105994930053282794?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-05_15_50_57-13105994930053282794 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:09.172Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:10.954Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:10.983Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.050Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.091Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.124Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.146Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.170Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.214Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.243Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at
iobase.py:908>) into Create input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.283Z:
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:2022-12-05T23:51:11.308Z:
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:2022-12-05T23:51:11.331Z:
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:2022-12-05T23:51:11.353Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub
message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.377Z:
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure
time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.404Z:
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.519Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.560Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.588Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.622Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.644Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:12.712Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:12.738Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:12.768Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:48.314Z:
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:2022-12-05T23:51:58.072Z:
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:2022-12-05T23:52:29.308Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:52:41.228Z:
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 2022-12-05_15_50_57-13105994930053282794 after 724 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results
for test: c3d8481bc1f849ef8ad8bfdd8629d032 and timestamp: 1670285168.9751318:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric:
pubsub_io_perf_write_runtime Value: 157
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-20221122
INFO:root:Python SDK container image set to
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221122" 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-2gb1205200441.1670285171.574823/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-2gb1205200441.1670285171.574823/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-2gb1205200441.1670285171.574823/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-2gb1205200441.1670285171.574823/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-2gb1205200441.1670285171.574823/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1205200441.1670285171.574823/dataflow-****.jar
in 6 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1205200441.1670285171.574823/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1205200441.1670285171.574823/pipeline.pb
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221206000611576259-5057'
createTime: '2022-12-06T00:06:18.818488Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-05_16_06_18-17470065848098072607'
location: 'us-central1'
name: 'performance-tests-psio-python-2gb1205200441'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-12-06T00:06:18.818488Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2022-12-05_16_06_18-17470065848098072607]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2022-12-05_16_06_18-17470065848098072607
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-05_16_06_18-17470065848098072607?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-central1/2022-12-05_16_06_18-17470065848098072607?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-05_16_06_18-17470065848098072607 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:30.704Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.638Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.673Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.742Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.811Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.849Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.914Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.010Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.060Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.096Z:
JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str)
into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.128Z:
JOB_MESSAGE_DETAILED: Fusing consumer Map(<lambda at
pubsub_io_perf_test.py:171>) into Read from pubsub/Map(_from_proto_str)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.160Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at
pubsub_io_perf_test.py:171>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.193Z:
JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.215Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.245Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count
messages/CombinePerKey/Combine/ConvertToAccumulators into Count
messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.277Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count
messages/CombinePerKey/GroupByKey/WriteStream into Count
messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.313Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into
Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.346Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count
messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.380Z:
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count
messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.414Z:
JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.449Z:
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert
to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.495Z:
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.535Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.575Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.605Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.638Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.671Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:36.745Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:36.773Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:36.795Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:50.889Z:
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:2022-12-06T00:07:49.161Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 3 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:07:49.188Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 3, though goal was 5.
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:08:09.411Z:
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:2022-12-06T00:08:18.406Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:08:30.429Z:
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 2022-12-05_16_06_18-17470065848098072607 after 720 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_90a3aac0-5d69-4173-b089-ef1251fb93b5_read_matcher.
Traceback (most recent call last):
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-05_15_50_57-13105994930053282794?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-05_16_06_18-17470065848098072607?project=apache-beam-testing
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 223, 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: 71
* 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 10s
92 actionable tasks: 57 executed, 33 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/js2gzauvjbb2m
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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