See <https://ci-beam.apache.org/job/beam_PerformanceTests_SpannerIO_Write_2GB_Python_Batch/769/display/redirect>
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sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, regex, pyyaml, python-dateutil, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, proto-plus, portalocker, parameterized, 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, sqlalchemy, scikit-learn, rsa, requests, pymongo, pydot, pyasn1-modules, pandas, httplib2, grpcio-status, google-resumable-media, freezegun, cffi, botocore, attrs, s3transfer, requests_mock, pytest, oauth2client, hypothesis, hdfs, grpc-google-iam-v1, google-auth, docker, cryptography, azure-core, testcontainers, pytest-xdist, pytest-timeout, google-auth-httplib2, google-apitools, google-api-core, boto3, azure-storage-blob, apache-beam, msal, google-cloud-core, msal-extensions, 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, google-cloud-pubsublite, azure-identity Successfully installed PyJWT-2.7.0 apache-beam-2.49.0.dev0 attrs-23.1.0 azure-core-1.27.0 azure-identity-1.13.0 azure-storage-blob-12.16.0 boto3-1.26.148 botocore-1.29.148 cachetools-5.3.1 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.1.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.1 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.3.0 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.1 execnet-1.9.0 fastavro-1.7.4 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.19.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.11.0 google-cloud-bigquery-storage-2.20.0 google-cloud-bigtable-2.17.0 google-cloud-core-2.3.2 google-cloud-datastore-2.15.2 google-cloud-dlp-3.12.1 google-cloud-language-2.10.0 google-cloud-pubsub-2.17.1 google-cloud-pubsublite-1.7.0 google-cloud-recommendations-ai-0.10.3 google-cloud-spanner-3.36.0 google-cloud-videointelligence-2.11.2 google-cloud-vision-3.4.2 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6 grpcio-status-1.54.2 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.76.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-5.0.2 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.3.3 pymysql-1.0.3 pyparsing-3.0.9 pytest-7.3.1 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3 requests-2.31.0 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.48 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.16 websocket-client-1.5.2 wrapt-1.15.0 zstandard-0.21.0 > 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_SpannerIO_Write_2GB_Python_Batch/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. 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INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-spannerio-write-python-batch-2gb0607155609.1686163986.610485/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-spannerio-write-python-batch-2gb0607155609.1686163986.610485/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-spannerio-write-python-batch-2gb0607155609.1686163986.610485/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-spannerio-write-python-batch-2gb0607155609.1686163986.610485/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20230607185306611522-3712' createTime: '2023-06-07T18:53:08.718593Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-06-07_11_53_07-1630892890966288690' location: 'us-west1' name: 'performance-tests-spannerio-write-python-batch-2gb0607155609' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-06-07T18:53:08.718593Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-06-07_11_53_07-1630892890966288690] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-06-07_11_53_07-1630892890966288690 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-west1/2023-06-07_11_53_07-1630892890966288690?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-06-07_11_53_07-1630892890966288690 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:08.026Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:11.612Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-west1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:12.983Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.012Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.069Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.092Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.108Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.138Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.160Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_Write-to-Spanner-make-batches-Merging-batchable-and-unbatchable_17 for input ref_AppliedPTransform_Write-to-Spanner-make-batches-Filtering-Batchable-Mutations-ParDo-_BatchableFi_15.unbatchable INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.183Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of Write to Spanner/Writing to spanner, through flatten Write to Spanner/make batches/Merging batchable and unbatchable, into producer Write to Spanner/make batches/Filtering Batchable Mutations/ParDo(_BatchableFilterFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.206Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/Writing to spanner into Write to Spanner/make batches/ParDo(_BatchFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.231Z: JOB_MESSAGE_DETAILED: Fusing consumer Produce rows/Map(<lambda at iobase.py:908>) into Produce rows/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.258Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Produce rows/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.285Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.309Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages into ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.327Z: JOB_MESSAGE_DETAILED: Fusing consumer Format into Count messages INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.353Z: JOB_MESSAGE_DETAILED: Fusing consumer Make mutations into Format INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.380Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Make mutations INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.397Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/make batches/Making mutation groups into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.422Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/make batches/Filtering Batchable Mutations/ParDo(_BatchableFilterFn) into Write to Spanner/make batches/Making mutation groups INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.450Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Spanner/make batches/ParDo(_BatchFn) into Write to Spanner/make batches/Filtering Batchable Mutations/ParDo(_BatchableFilterFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.482Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.506Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.531Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.554Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.673Z: JOB_MESSAGE_DEBUG: Executing wait step start13 INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.720Z: JOB_MESSAGE_BASIC: Executing operation Produce rows/Impulse+Produce rows/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.758Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:13.778Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-west1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-06-07_11_53_07-1630892890966288690 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T18:53:31.526Z: 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:2023-06-07T18:53:53.770Z: 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:2023-06-07T18:54:31.276Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:53:14.707Z: JOB_MESSAGE_ERROR: Workflow failed. Causes: The Dataflow job appears to be stuck because no **** activity has been seen in the last 1h. Please check the **** logs in Stackdriver Logging. You can also get help with Cloud Dataflow at https://cloud.google.com/dataflow/support. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:53:14.769Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-06-07_11_53_07-1630892890966288690. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:53:14.803Z: JOB_MESSAGE_ERROR: The Dataflow job appears to be stuck because no **** activity has been seen in the last 1h. Please check the **** logs in Stackdriver Logging. You can also get help with Cloud Dataflow at https://cloud.google.com/dataflow/support. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:53:14.954Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/loadtests/performance-tests-spannerio-write-python-batch-2gb0607155609.1686163986.610485/dax-tmp-2023-06-07_11_53_07-1630892890966288690-S01-0-f2e5601e9900f5d5/[email protected]." INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:53:14.983Z: JOB_MESSAGE_WARNING: S01:Produce rows/Impulse+Produce rows/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing failed. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:53:15.013Z: JOB_MESSAGE_BASIC: Finished operation Produce rows/Impulse+Produce rows/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Produce-rows-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:53:15.078Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:53:15.127Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:53:15.143Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:55:26.096Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 5 to 0. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:55:26.134Z: JOB_MESSAGE_BASIC: Worker pool stopped. INFO:apache_beam.runners.dataflow.dataflow_runner:2023-06-07T19:55:26.158Z: JOB_MESSAGE_DEBUG: Tearing down pending resources... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-06-07_11_53_07-1630892890966288690 is in state JOB_STATE_FAILED ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-06-07_11_53_07-1630892890966288690?project=<ProjectId> 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_SpannerIO_Write_2GB_Python_Batch/ws/src/sdks/python/apache_beam/io/gcp/experimental/spannerio_write_perf_test.py";,> line 146, in <module> SpannerWritePerfTest().run() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_SpannerIO_Write_2GB_Python_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,> line 152, in run state = self.result.wait_until_finish(duration=self.timeout_ms) File "<https://ci-beam.apache.org/job/beam_PerformanceTests_SpannerIO_Write_2GB_Python_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,> line 1566, in wait_until_finish self) apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error: The Dataflow job appears to be stuck because no **** activity has been seen in the last 1h. Please check the **** logs in Stackdriver Logging. You can also get help with Cloud Dataflow at https://cloud.google.com/dataflow/support. > 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_SpannerIO_Write_2GB_Python_Batch/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 1h 4m 42s 15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date Publishing build scan... https://ge.apache.org/s/kadpuj2qvet42 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]
