See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/583/display/redirect?page=changes>
Changes: [Heejong Lee] [BEAM-14455] Add UUID to sub-schemas for PythonExternalTransform [Heejong Lee] [BEAM-14430] Adding a logical type support for Python callables to Row [Heejong Lee] add urn, type inference for PythonCallableSource [Heejong Lee] fix lint errors [Heejong Lee] move logical types def [Heejong Lee] add micros_instant urn [Heejong Lee] put a default type hint for PythonCallableSource [Heejong Lee] add comment [noreply] Revert "Better test assertion. (#17551)" [noreply] Bump github.com/spf13/cobra from 1.3.0 to 1.4.0 in /sdks (#17647) [noreply] [BEAM-14465] Reduce DefaultS3ClientBuilderFactory logging to debug level [noreply] Merge pull request #17365 from [BEAM-12482] Update Schema Destination [noreply] [BEAM-14014] Support impersonation credentials in dataflow runner [noreply] [BEAM-14469] Allow nil primary returns from TrySplit in a single-window [noreply] Add some auto-starting runners to the typescript SDK. 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Collecting requests-oauthlib>=0.5.0 Using cached requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB) Collecting isodate>=0.6.0 Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Collecting pyasn1>=0.1.7 Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB) Collecting typing-utils>=0.0.3 Using cached typing_utils-0.1.0-py3-none-any.whl (10 kB) Collecting oauthlib>=3.0.0 Using cached oauthlib-3.2.0-py3-none-any.whl (151 kB) 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: filename=apache_beam-2.40.0.dev0-py3-none-any.whl size=2777028 sha256=6dac0c1fc40532e09ca0586997dfae07747b6e1a55e9b788ca02c43867399b40 Stored in directory: /home/jenkins/.cache/pip/wheels/c1/f5/a3/8f5ec48b796c1b690bd340ec7688fb88886afa83d7f14ff737 Successfully built apache-beam Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, certifi, 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, 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, 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google-cloud-bigtable-1.7.1 google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.6.2 google-cloud-language-1.3.1 google-cloud-pubsub-2.12.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2 google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.2 googleapis-common-protos-1.56.1 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.6.21 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.3 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-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.36 tenacity-5.1.5 testcontainers-3.5.4 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1 > Task :sdks:python:apache_beam:testing:load_tests:run INFO:root:100 out of 10000 total elements in each window will be accessed. INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter. 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INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-9-0514100413.1652543730.848988/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-9-0514100413.1652543730.848988/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/load-tests-python-dataflow-batch-sideinput-9-0514100413.1652543730.848988/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-9-0514100413.1652543730.848988/pipeline.pb in 0 seconds. WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000'] WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000'] INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20220514155530849937-9999' createTime: '2022-05-14T15:55:31.712259Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-05-14_08_55_31-1481361689829031140' location: 'us-central1' name: 'load-tests-python-dataflow-batch-sideinput-9-0514100413' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-05-14T15:55:31.712259Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-05-14_08_55_31-1481361689829031140] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-05-14_08_55_31-1481361689829031140 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-14_08_55_31-1481361689829031140?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-14_08_55_31-1481361689829031140 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:33.721Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.390Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.432Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.463Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.514Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.546Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.576Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.605Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.637Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.697Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.737Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.763Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.859Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.919Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:34.973Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:35.044Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:35.206Z: JOB_MESSAGE_DEBUG: Executing wait step start4 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:35.286Z: JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:35.352Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:35.394Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-14_08_55_31-1481361689829031140 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:55:55.733Z: 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:2022-05-14T15:55:57.959Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 10 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T15:56:30.044Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.581Z: JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.677Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.708Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.772Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.825Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:14.922Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T16:03:15.001Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:00:41.036Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-05-14_08_55_31-1481361689829031140. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:00:41.095Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:00:41.255Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:00:41.299Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:00:41.390Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-14_08_55_31-1481361689829031140 is in state JOB_STATE_CANCELLING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:01:15.693Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:01:15.725Z: JOB_MESSAGE_BASIC: Worker pool stopped. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-05-14T20:01:15.779Z: JOB_MESSAGE_DEBUG: Tearing down pending resources... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-05-14_08_55_31-1481361689829031140 is in state JOB_STATE_CANCELLED ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-05-14_08_55_31-1481361689829031140?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_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py";,> line 216, in <module> SideInputTest().run() File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,> line 1675, in wait_until_finish self) apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: CANCELLED, Error: None > 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_SideInput_Dataflow_Batch/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 4h 6m 56s 15 actionable tasks: 3 executed, 12 up-to-date Publishing build scan... https://gradle.com/s/c6domqtmavyh2 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]
