See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/789/display/redirect?page=changes>
Changes: [naireenhussain] add new pubsub urn [Pablo Estrada] Several requests to show experiments in Dataflow UI [byronellis] Add org.pentaho to calcite relocated packages to fix vendoring [noreply] Adding VladMatyunin as collaborator (#22239) [noreply] Mark session runner as deprecated (#22242) [noreply] Update google-cloud-core dependency to <3 (#22237) [noreply] Move WC integration test to generic registration (#22248) [noreply] Move Xlang Go examples to generic registration (#22249) ------------------------------------------ [...truncated 73.69 KB...] INFO: pip is looking at multiple versions of psycopg2-binary to determine which version is compatible with other requirements. This could take a while. 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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: filename=apache_beam-2.41.0.dev0-py3-none-any.whl size=2822936 sha256=368c840ccfd74695dee5a335b6e6e8f7b2eb6094711d5682786311db757cb477 Stored in directory: /home/jenkins/.cache/pip/wheels/bc/10/43/2e6f08d57c0f9fc9e1f1ee753673c40f9e03ed660bcae39b4a Successfully built apache-beam Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, atomicwrites, sqlalchemy, scipy, requests, pyarrow, pluggy, pandas, overrides, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, 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, google-cloud-pubsublite Attempting uninstall: pluggy Found existing installation: pluggy 1.0.0 Uninstalling pluggy-1.0.0: Successfully uninstalled pluggy-1.0.0 Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.28 botocore-1.27.28 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.1 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.7 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.10 wcwidth-0.2.5 websocket-client-1.3.3 wrapt-1.14.1 > Task :sdks:python:apache_beam:testing:load_tests:run WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform. WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform. WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform. WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform. WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform. WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform. WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform. WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform. WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform. WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform. INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator'] INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED 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_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py";,> line 167, in <module> ParDoTest().run() File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,> line 151, in run self.result.wait_until_finish(duration=self.timeout_ms) File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py";,> line 607, in wait_until_finish raise self._runtime_exception RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0713100248_03148751-3ac0-4ccb-b54f-07e3f70edf52 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions > 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_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58 * 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. > Run with --scan to get full insights. * 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 2m 53s 15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/dz4onjwh3fvxa 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]
