You are viewing a plain text version of this content. The canonical link for it is here.
Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/05/08 11:30:18 UTC
Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #4863
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4863/display/redirect>
Changes:
------------------------------------------
[...truncated 868.78 KB...]
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:21:46.584Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:21:56.498Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:21:56.522Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:06.497Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:06.514Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:16.578Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:16.599Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:26.532Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:26.551Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:36.487Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:36.503Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:46.431Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:46.454Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:56.456Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:22:56.494Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:06.637Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:06.657Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:16.506Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:16.544Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:26.521Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:26.544Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:36.512Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:36.530Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:46.509Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:46.525Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:56.481Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:23:56.506Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:06.525Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:06.548Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:16.502Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:16.516Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:26.526Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:26.541Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:36.370Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:36.384Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:46.373Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:46.397Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:56.365Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:24:56.387Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:06.371Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:06.395Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:16.530Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:16.553Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:26.548Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:26.573Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:36.582Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:36.603Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:46.529Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:46.544Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:56.503Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:25:56.520Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:06.521Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:06.544Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:16.515Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:16.538Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:26.540Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:26.560Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:36.457Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:36.480Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:46.344Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:46.365Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:56.378Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:26:56.403Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:06.340Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:06.354Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:16.479Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:16.498Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:26.572Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:26.597Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:36.520Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:36.545Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:46.529Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:46.553Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:56.487Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:27:56.512Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:06.490Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:06.514Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:16.526Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:16.551Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:26.324Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:26.344Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:36.372Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:36.397Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:46.354Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:46.369Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:56.338Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:28:56.362Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:29:06.362Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:29:06.376Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:29:16.391Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:29:16.407Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:29:26.577Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:29:26.601Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:29:36.519Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'beamapp-jenkins-050810143-05080314-bxib-harness-49wn' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-a' does not have enough resources available to fulfill the request. '(resource type:compute)'.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T11:29:36.543Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:193 Job 2023-05-08_03_14_50-1815605282684004309 is in state JOB_STATE_CANCELLING
[33m=============================== warnings summary ===============================[0m
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py>:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
from imp import load_source
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:121
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:121
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:121
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:121
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:121
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:121
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:121
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:121
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:121
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:121: DeprecationWarning: pkg_resources is deprecated as an API
warnings.warn("pkg_resources is deprecated as an API", DeprecationWarning)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870: 162 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870: 117 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.cloud')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2349: 36 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:2349: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(parent)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.logging')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.iam')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py:20
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py:20
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py:20
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py:20
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py:20
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py:20
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py:20
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py:20
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py:20
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py>:20: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.rpc')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
pkg_resources.declare_namespace(__name__)
apache_beam/ml/inference/base_test.py::RunInferenceBaseTest::test_run_inference_with_side_inputin_streaming
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/ml/inference/base_test.py>:739: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
test_pipeline.options.view_as(StandardOptions).streaming = True
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-xdist.xml> -
[36m[1m=========================== short test summary info ============================[0m
[31mFAILED[0m apache_beam/transforms/sideinputs_test.py::[1mSideInputsTest::test_reiterable_side_input[0m - Failed: Timeout >4500.0s
[31m===== [31m[1m1 failed[0m, [32m33 passed[0m, [33m10 skipped[0m, [33m361 warnings[0m[31m in 6176.47s (1:42:56)[0m[31m ======[0m
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests FAILED
FAILURE: Build completed with 2 failures.
1: Task failed with an exception.
-----------
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 265
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests'.
> 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.
==============================================================================
2: Task failed with an exception.
-----------
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 265
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests'.
> 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 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 2h 21m 52s
24 actionable tasks: 18 executed, 4 from cache, 2 up-to-date
Build scan background action failed.
java.lang.IllegalArgumentException: com.gradle.enterprise.gradleplugin.internal.extension.a is not an interface
at java.lang.reflect.Proxy$ProxyClassFactory.apply(Proxy.java:590)
at java.lang.reflect.Proxy$ProxyClassFactory.apply(Proxy.java:557)
at java.lang.reflect.WeakCache$Factory.get(WeakCache.java:230)
at java.lang.reflect.WeakCache.get(WeakCache.java:127)
at java.lang.reflect.Proxy.getProxyClass0(Proxy.java:419)
at java.lang.reflect.Proxy.newProxyInstance(Proxy.java:719)
at com.gradle.ProxyFactory$ProxyingInvocationHandler.createLocalProxy(ProxyFactory.java:66)
at com.gradle.ProxyFactory$ProxyingInvocationHandler.lambda$adaptActionArg$1(ProxyFactory.java:61)
at com.gradle.enterprise.gradleplugin.internal.extension.b$3.run(SourceFile:100)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Publishing build scan...
https://ge.apache.org/s/hj4om2ksyqw5o
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Jenkins build is back to normal : beam_PostCommit_Py_VR_Dataflow_V2 #4865
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4865/display/redirect>
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #4864
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4864/display/redirect?page=changes>
Changes:
[noreply] Add an example about transforms to the learn-beam-by-doing series
------------------------------------------
[...truncated 300.16 KB...]
[32mINFO [0m apache_beam.internal.gcp.auth:auth.py:132 socket default timeout is 60.0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/requirements.txt...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/requirements.txt in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/pickled_main_session...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/pickled_main_session in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/scikit-learn-1.0.2.tar.gz...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/scikit-learn-1.0.2.tar.gz in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/mock-2.0.0-py2.py3-none-any.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/mock-2.0.0-py2.py3-none-any.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/seaborn-0.12.2-py3-none-any.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/seaborn-0.12.2-py3-none-any.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/PyHamcrest-1.10.1-py3-none-any.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/PyHamcrest-1.10.1-py3-none-any.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/inflection-0.5.1-py2.py3-none-any.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/inflection-0.5.1-py2.py3-none-any.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/beautifulsoup4-4.12.2-py3-none-any.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/beautifulsoup4-4.12.2-py3-none-any.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/parameterized-0.7.5-py2.py3-none-any.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/parameterized-0.7.5-py2.py3-none-any.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/matplotlib-3.5.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/matplotlib-3.5.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/matplotlib-3.7.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/matplotlib-3.7.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/matplotlib-3.7.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/matplotlib-3.7.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/matplotlib-3.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/matplotlib-3.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/scikit_learn-1.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/scikit_learn-1.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/apache_beam-2.48.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/apache_beam-2.48.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/pipeline.pb...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0508162855-284598-nthvafm2.1683563335.284764/pipeline.pb in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:909 Create job: <Job
clientRequestId: '20230508162855285632-2535'
createTime: '2023-05-08T16:29:07.869303Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-05-08_09_29_07-4720843213753156002'
location: 'us-central1'
name: 'beamapp-jenkins-0508162855-284598-nthvafm2'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-05-08T16:29:07.869303Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:911 Created job with id: [2023-05-08_09_29_07-4720843213753156002]
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:912 Submitted job: 2023-05-08_09_29_07-4720843213753156002
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:913 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-05-08_09_29_07-4720843213753156002?project=apache-beam-testing
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-05-08_09_29_07-4720843213753156002?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-central1/2023-05-08_09_29_07-4720843213753156002?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:193 Job 2023-05-08_09_29_07-4720843213753156002 is in state JOB_STATE_RUNNING
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:08.977Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100 unless maxNumWorkers is specified.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:09.065Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2023-05-08_09_29_07-4720843213753156002. The number of workers will be between 1 and 100.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:09.101Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2023-05-08_09_29_07-4720843213753156002.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:12.053Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.015Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.039Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.099Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.128Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.160Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.187Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.212Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.235Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.309Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.330Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.353Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/Write into dump_to_pub/ToProtobuf
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.382Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.412Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.519Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.541Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.576Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.610Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.760Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.785Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:14.829Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:29:37.110Z: 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:238 2023-05-08T16:29:59.031Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 so that the pipeline can catch up with its backlog and keep up with its input rate.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:30:33.572Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-08T16:30:45.841Z: JOB_MESSAGE_DETAILED: All workers have finished the startup processes and began to receive work requests.
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:252 Timing out on waiting for job 2023-05-08_09_25_22-18034391841900214367 after 304 seconds
[32mPASSED[0m
[33m=============================== warnings summary ===============================[0m
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py>:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
from imp import load_source
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:121
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:121: DeprecationWarning: pkg_resources is deprecated as an API
warnings.warn("pkg_resources is deprecated as an API", DeprecationWarning)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870: 18 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870: 13 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.cloud')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2349
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:2349: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(parent)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.logging')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py:2870
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.iam')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py:20
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/google/rpc/__init__.py>:20: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.rpc')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
pkg_resources.declare_namespace(__name__)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-noxdist.xml> -
[33m==== [32m1 passed[0m, [33m[1m9 skipped[0m, [33m[1m6920 deselected[0m, [33m[1m40 warnings[0m[33m in 528.67s (0:08:48)[0m[33m ====[0m
> Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests
[33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:249 Timing out on waiting for job 2023-05-08_09_29_07-4720843213753156002 after 303 seconds
[32mPASSED[0m
[33m=============================== warnings summary ===============================[0m
../../build/gradleenv/2050596099/lib/python3.11/site-packages/hdfs/config.py:15
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/hdfs/config.py>:15: DeprecationWarning: the imp module is deprecated in favour of importlib and slated for removal in Python 3.12; see the module's documentation for alternative uses
from imp import load_source
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:121
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:121: DeprecationWarning: pkg_resources is deprecated as an API
warnings.warn("pkg_resources is deprecated as an API", DeprecationWarning)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870: 18 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870: 13 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.cloud')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2349: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(parent)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.logging')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.iam')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/google/rpc/__init__.py:20
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/google/rpc/__init__.py>:20: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.rpc')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
pkg_resources.declare_namespace(__name__)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/google/api_core/operations_v1/abstract_operations_client.py:17
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/google/api_core/operations_v1/abstract_operations_client.py>:17: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
from distutils import util
apache_beam/typehints/pandas_type_compatibility_test.py:67
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:67: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
}).set_index(pd.Int64Index(range(123, 223), name='an_index')),
apache_beam/typehints/pandas_type_compatibility_test.py:90
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:90: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(123, 223), name='an_index'),
apache_beam/typehints/pandas_type_compatibility_test.py:91
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:91: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(475, 575), name='another_index'),
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py311-noxdist.xml> -
[33m==== [32m1 passed[0m, [33m[1m9 skipped[0m, [33m[1m6920 deselected[0m, [33m[1m44 warnings[0m[33m in 487.58s (0:08:07)[0m[33m ====[0m
> Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTestsV2
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 242
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py37:validatesRunnerBatchTests'.
> 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 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 28m 36s
24 actionable tasks: 18 executed, 4 from cache, 2 up-to-date
Build scan background action failed.
java.lang.IllegalArgumentException: com.gradle.enterprise.gradleplugin.internal.extension.a is not an interface
at java.lang.reflect.Proxy$ProxyClassFactory.apply(Proxy.java:590)
at java.lang.reflect.Proxy$ProxyClassFactory.apply(Proxy.java:557)
at java.lang.reflect.WeakCache$Factory.get(WeakCache.java:230)
at java.lang.reflect.WeakCache.get(WeakCache.java:127)
at java.lang.reflect.Proxy.getProxyClass0(Proxy.java:419)
at java.lang.reflect.Proxy.newProxyInstance(Proxy.java:719)
at com.gradle.ProxyFactory$ProxyingInvocationHandler.createLocalProxy(ProxyFactory.java:66)
at com.gradle.ProxyFactory$ProxyingInvocationHandler.lambda$adaptActionArg$1(ProxyFactory.java:61)
at com.gradle.enterprise.gradleplugin.internal.extension.b$3.run(SourceFile:100)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Publishing build scan...
https://ge.apache.org/s/e5qtgnzzyl3pe
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org