See <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/613/display/redirect>
Changes: ------------------------------------------ [...truncated 458.61 KB...] steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:860 Created job with id: [2024-01-23_12_55_57-11400971046939635074] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:861 Submitted job: 2024-01-23_12_55_57-11400971046939635074 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:862 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2024-01-23_12_55_57-11400971046939635074?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 Console log: [32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 https://console.cloud.google.com/dataflow/jobs/us-central1/2024-01-23_12_55_57-11400971046939635074?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:151 Job 2024-01-23_12_55_57-11400971046939635074 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:00.898Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:03.473Z: JOB_MESSAGE_BASIC: Executing operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:03.532Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:03.904Z: JOB_MESSAGE_BASIC: Finished operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:12.672Z: JOB_MESSAGE_BASIC: Executing operation Generate/Impulse+Generate/FlatMap(<lambda at core.py:3774>)+Generate/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:22.388Z: 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 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:10:52.237Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2024-01-23_12_55_57-11400971046939635074. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:10:52.258Z: JOB_MESSAGE_BASIC: Finished operation Generate/Impulse+Generate/FlatMap(<lambda at core.py:3774>)+Generate/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:10:52.492Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:151 Job 2024-01-23_12_55_57-11400971046939635074 is in state JOB_STATE_CANCELLING [31m[1m__________ CrossLanguageKafkaIOTest.test_hosted_kafkaio_populated_key __________[0m self = <apache_beam.io.external.xlang_kafkaio_it_test.CrossLanguageKafkaIOTest testMethod=test_hosted_kafkaio_populated_key> @pytest.mark.uses_io_java_expansion_service @unittest.skipUnless( os.environ.get('EXPANSION_PORT'), "EXPANSION_PORT environment var is not provided.") @unittest.skipUnless( os.environ.get('KAFKA_BOOTSTRAP_SERVER'), "KAFKA_BOOTSTRAP_SERVER environment var is not provided.") def test_hosted_kafkaio_populated_key(self): kafka_topic = 'xlang_kafkaio_test_populated_key_{}'.format(uuid.uuid4()) bootstrap_servers = os.environ.get('KAFKA_BOOTSTRAP_SERVER') pipeline_creator = CrossLanguageKafkaIO( bootstrap_servers, kafka_topic, False, 'localhost:%s' % os.environ.get('EXPANSION_PORT')) > self.run_kafka_write(pipeline_creator) [1m[31mapache_beam/io/external/xlang_kafkaio_it_test.py[0m:162: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [1m[31mapache_beam/io/external/xlang_kafkaio_it_test.py[0m:187: in run_kafka_write pipeline_creator.build_write_pipeline(pipeline) [1m[31mapache_beam/pipeline.py[0m:612: in __exit__ self.result = self.run() [1m[31mapache_beam/testing/test_pipeline.py[0m:112: in run result = super().run( [1m[31mapache_beam/pipeline.py[0m:586: in run return self.runner.run_pipeline(self, self._options) [1m[31mapache_beam/runners/dataflow/test_dataflow_runner.py[0m:66: in run_pipeline self.result.wait_until_finish(duration=wait_duration) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <DataflowPipelineResult <Job clientRequestId: '20240123221335907403-6044' createTime: '2024-01-23T22:13:37.983101Z' ...024-01-23T22:13:37.983101Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> at 0x7fa2d039b7c0> duration = None def wait_until_finish(self, duration=None): if not self.is_in_terminal_state(): if not self.has_job: raise IOError('Failed to get the Dataflow job id.') consoleUrl = ( "Console URL: https://console.cloud.google.com/"; f"dataflow/jobs/<RegionId>/{self.job_id()}" "?project=<ProjectId>") thread = threading.Thread( target=DataflowRunner.poll_for_job_completion, args=(self._runner, self, duration)) # Mark the thread as a daemon thread so a keyboard interrupt on the main # thread will terminate everything. This is also the reason we will not # use thread.join() to wait for the polling thread. thread.daemon = True thread.start() while thread.is_alive(): > time.sleep(5.0) [1m[31mE Failed: Timeout >4500.0s[0m [1m[31mapache_beam/runners/dataflow/dataflow_runner.py[0m:765: Failed ------------------------------ Captured log call ------------------------------- [32mINFO [0m apache_beam.runners.portability.stager:stager.py:322 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/build/apache_beam-2.54.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl";> to staging location. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:395 Pipeline has additional dependencies to be installed in SDK worker 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 [32mINFO [0m root:environments.py:314 Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest [32mINFO [0m root:environments.py:321 Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7fa2a01ec9d0> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7fa2a01f31f0> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:677 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/beam-sdks-java-io-expansion-service-2.54.0-SNAPSHOT-YSoXcc4-uUKsiJNOxeWC8_0WbKOWyGs9WAep2ZkEmM8.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:687 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/beam-sdks-java-io-expansion-service-2.54.0-SNAPSHOT-YSoXcc4-uUKsiJNOxeWC8_0WbKOWyGs9WAep2ZkEmM8.jar in 1 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:677 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/apache_beam-2.54.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:687 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/apache_beam-2.54.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:677 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:687 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:858 Create job: <Job clientRequestId: '20240123221335907403-6044' createTime: '2024-01-23T22:13:37.983101Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2024-01-23_14_13_37-12592457088122517646' location: 'us-central1' name: 'beamapp-jenkins-0123221335-906352-fvm9ee07' projectId: 'apache-beam-testing' stageStates: [] startTime: '2024-01-23T22:13:37.983101Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:860 Created job with id: [2024-01-23_14_13_37-12592457088122517646] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:861 Submitted job: 2024-01-23_14_13_37-12592457088122517646 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:862 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2024-01-23_14_13_37-12592457088122517646?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 Console log: [32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 https://console.cloud.google.com/dataflow/jobs/us-central1/2024-01-23_14_13_37-12592457088122517646?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:151 Job 2024-01-23_14_13_37-12592457088122517646 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:43.741Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:45.897Z: JOB_MESSAGE_BASIC: Executing operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:45.957Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:46.505Z: JOB_MESSAGE_BASIC: Finished operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:55.100Z: JOB_MESSAGE_BASIC: Executing operation Generate/Impulse+Generate/FlatMap(<lambda at core.py:3774>)+Generate/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:57.708Z: 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 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T23:28:33.972Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2024-01-23_14_13_37-12592457088122517646. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T23:28:33.995Z: JOB_MESSAGE_BASIC: Finished operation Generate/Impulse+Generate/FlatMap(<lambda at core.py:3774>)+Generate/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T23:28:34.135Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:151 Job 2024-01-23_14_13_37-12592457088122517646 is in state JOB_STATE_CANCELLING [33m=============================== warnings summary ===============================[0m apache_beam/io/gcp/bigquery.py:2603 <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2603: DeprecationWarning: invalid escape sequence \# """Read data from BigQuery. -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/pytest_ioCrossLanguage.xml> - [36m[1m=========================== short test summary info ============================[0m [31mFAILED[0m apache_beam/io/external/xlang_kafkaio_it_test.py::[1mCrossLanguageKafkaIOTest::test_hosted_kafkaio_null_key[0m - Failed: Timeout >4500.0s [31mFAILED[0m apache_beam/io/external/xlang_kafkaio_it_test.py::[1mCrossLanguageKafkaIOTest::test_hosted_kafkaio_populated_key[0m - Failed: Timeout >4500.0s [31m= [31m[1m2 failed[0m, [32m2 passed[0m, [33m17 skipped[0m, [33m7309 deselected[0m, [33m1 warning[0m[31m in 9376.83s (2:36:16)[0m[31m =[0m +++++++++++++++++++++++++++++++++++ Timeout ++++++++++++++++++++++++++++++++++++ ~~~~~~~~~~~~~~~~~~~~~ Stack of Thread-2 (140336877094656) ~~~~~~~~~~~~~~~~~~~~~~ File "/usr/lib/python3.8/threading.py", line 890, in _bootstrap self._bootstrap_inner() File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner self.run() File "/usr/lib/python3.8/threading.py", line 870, in run self._target(*self._args, **self._kwargs) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,> line 144, in poll_for_job_completion response = runner.dataflow_client.get_job(job_id) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/utils/retry.py";,> line 298, in wrapper return fun(*args, **kwargs) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/internal/apiclient.py";,> line 929, in get_job response = self._client.projects_locations_jobs.Get(request) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/internal/clients/dataflow/dataflow_v1b3_client.py";,> line 747, in Get return self._RunMethod(config, request, global_params=global_params) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/apitools/base/py/base_api.py";,> line 728, in _RunMethod http_response = http_wrapper.MakeRequest( File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/apitools/base/py/http_wrapper.py";,> line 348, in MakeRequest return _MakeRequestNoRetry( File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/apitools/base/py/http_wrapper.py";,> line 397, in _MakeRequestNoRetry info, content = http.request( File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/google_auth_httplib2.py";,> line 218, in request response, content = self.http.request( File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/httplib2/__init__.py";,> line 1724, in request (response, content) = self._request( File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/httplib2/__init__.py";,> line 1444, in _request (response, content) = self._conn_request(conn, request_uri, method, body, headers) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/httplib2/__init__.py";,> line 1396, in _conn_request response = conn.getresponse() File "/usr/lib/python3.8/http/client.py", line 1348, in getresponse response.begin() File "/usr/lib/python3.8/http/client.py", line 316, in begin version, status, reason = self._read_status() File "/usr/lib/python3.8/http/client.py", line 277, in _read_status line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1") File "/usr/lib/python3.8/socket.py", line 669, in readinto return self._sock.recv_into(b) File "/usr/lib/python3.8/ssl.py", line 1270, in recv_into return self.read(nbytes, buffer) File "/usr/lib/python3.8/ssl.py", line 1128, in read return self._sslobj.read(len, buffer) +++++++++++++++++++++++++++++++++++ Timeout ++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++ Timeout ++++++++++++++++++++++++++++++++++++ ~~~~~~~~~~~~~~~~~~~~~ Stack of Thread-4 (140337011328768) ~~~~~~~~~~~~~~~~~~~~~~ File "/usr/lib/python3.8/threading.py", line 890, in _bootstrap self._bootstrap_inner() File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner self.run() File "/usr/lib/python3.8/threading.py", line 870, in run self._target(*self._args, **self._kwargs) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,> line 172, in poll_for_job_completion time.sleep(sleep_secs) +++++++++++++++++++++++++++++++++++ Timeout ++++++++++++++++++++++++++++++++++++ > Task :sdks:python:test-suites:dataflow:py38:ioCrossLanguagePythonUsingJava > FAILED > Task :sdks:python:test-suites:dataflow:py38:ioCrossLanguageCleanup Stopping expansion service pid: 992130. Skipping invalid pid: 992131. > Task :sdks:python:test-suites:xlang:fnApiJobServerCleanup Killing process at 989313 FAILURE: Build completed with 2 failures. 1: Task failed with an exception. ----------- * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py311:ioCrossLanguagePythonUsingJava'. > Process 'command 'sh'' finished with non-zero exit value 1 * 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. ============================================================================== 2: Task failed with an exception. ----------- * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py38:ioCrossLanguagePythonUsingJava'. > Process 'command 'sh'' finished with non-zero exit value 1 * 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 9.0. You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins. For more on this, please refer to https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation. BUILD FAILED in 2h 53m 17s 108 actionable tasks: 95 executed, 11 from cache, 2 up-to-date Publishing build scan... https://ge.apache.org/s/5xv4pptfyxjj4 Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure --------------------------------------------------------------------- To unsubscribe, e-mail: builds-unsubscr...@beam.apache.org For additional commands, e-mail: builds-h...@beam.apache.org
