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sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, packaging, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, deprecation, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, 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, google-cloud-bigquery, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity Attempting uninstall: packaging Found existing installation: packaging 22.0 Uninstalling packaging-22.0: Successfully uninstalled packaging-22.0 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 boto3-1.26.28 botocore-1.29.28 cachetools-4.2.4 certifi-2022.12.7 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 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pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 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-1.4.45 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.utils.subprocess_server:Using pre-built snapshot at <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar> INFO:root:Starting a JAR-based expansion service from JAR 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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. 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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20221213010543428292-3564' createTime: '2022-12-13T01:05:47.753881Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-12-12_17_05_47-14719710665131454267' location: 'us-central1' name: 'beamapp-jenkins-1213010543-426787-4ggwegav' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-12-13T01:05:47.753881Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-12-12_17_05_47-14719710665131454267] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-12-12_17_05_47-14719710665131454267 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-12_17_05_47-14719710665131454267?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_17_05_47-14719710665131454267 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:50.538Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f. 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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.164Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.204Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate records/Map(<lambda at iobase.py:908>) into Generate records/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.244Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Generate records/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.292Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.326Z: JOB_MESSAGE_DETAILED: Fusing consumer Count records into ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.369Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Count records INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.403Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous) into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.435Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter) into WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.472Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.501Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.535Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.573Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.702Z: JOB_MESSAGE_DEBUG: Executing wait step start10 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.766Z: JOB_MESSAGE_BASIC: Executing operation Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.813Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.844Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_17_05_47-14719710665131454267 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:06:21.175Z: 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:2022-12-13T01:06:38.607Z: 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:2022-12-13T01:08:32.363Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:14:52.352Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:14:54.154Z: JOB_MESSAGE_BASIC: Finished operation Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:14:54.239Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6-split-with-sizing-out3" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:14:54.314Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Count records+Measure time+WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)+WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:23:59.730Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Count records+Measure time+WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)+WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:23:59.786Z: JOB_MESSAGE_DEBUG: Executing success step success8 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:23:59.837Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:23:59.884Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:23:59.909Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:26:18.326Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 5 to 0. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:26:18.367Z: JOB_MESSAGE_BASIC: Worker pool stopped. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:26:18.388Z: JOB_MESSAGE_DEBUG: Tearing down pending resources... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_17_05_47-14719710665131454267 is in state JOB_STATE_DONE INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: 927b8d78464e435ab266e56967bd4e12 and timestamp: 1670894789.0851648: INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: write_count_records_total_messages Value: 100000000 INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: write_runtime Value: 540 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_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py";,> line 129, in <module> getattr(sys.modules[__name__], test_options.test_class)().run() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py";,> line 58, in run read_test.run() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,> line 148, in run self.test() File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py";,> line 107, in test | 'Count' >> beam.combiners.Count.Globally()) TypeError: __init__() missing 1 required positional argument: 'topics' > 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_xlang_KafkaIO_batch_Python/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 22m 21s 15 actionable tasks: 5 executed, 10 up-to-date Publishing build scan... https://gradle.com/s/3g2gjiuegcuya 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]
