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 2021/06/12 19:02:08 UTC

Build failed in Jenkins: beam_PreCommit_Python_Cron #4306

See <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/4306/display/redirect>

Changes:


------------------------------------------
[...truncated 1.65 MB...]
                {
                  "@type": "kind:interval_window"
                }
              ],
              "is_wrapper": true
            },
            "output_name": "None",
            "user_name": "format.out"
          }
        ],
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s7"
        },
        "serialized_fn": "ref_AppliedPTransform_format_10",
        "user_name": "format"
      }
    },
    {
      "kind": "ParallelDo",
      "name": "s9",
      "properties": {
        "display_data": [
          {
            "key": "fn",
            "label": "Transform Function",
            "namespace": "apache_beam.transforms.core.ParDo",
            "shortValue": "CallableWrapperDoFn",
            "type": "STRING",
            "value": "apache_beam.transforms.core.CallableWrapperDoFn"
          },
          {
            "key": "fn",
            "label": "Transform Function",
            "namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
            "type": "STRING",
            "value": "<lambda>"
          }
        ],
        "non_parallel_inputs": {},
        "output_info": [
          {
            "encoding": {
              "@type": "kind:windowed_value",
              "component_encodings": [
                {
                  "@type": "kind:bytes"
                },
                {
                  "@type": "kind:interval_window"
                }
              ],
              "is_wrapper": true
            },
            "output_name": "None",
            "user_name": "encode.out"
          }
        ],
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s8"
        },
        "serialized_fn": "ref_AppliedPTransform_encode_11",
        "user_name": "encode"
      }
    },
    {
      "kind": "ParallelDo",
      "name": "s10",
      "properties": {
        "display_data": [
          {
            "key": "fn",
            "label": "Transform Function",
            "namespace": "apache_beam.transforms.core.ParDo",
            "shortValue": "CallableWrapperDoFn",
            "type": "STRING",
            "value": "apache_beam.transforms.core.CallableWrapperDoFn"
          },
          {
            "key": "fn",
            "label": "Transform Function",
            "namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
            "type": "STRING",
            "value": "bytes_to_proto_str"
          }
        ],
        "non_parallel_inputs": {},
        "output_info": [
          {
            "encoding": {
              "@type": "kind:windowed_value",
              "component_encodings": [
                {
                  "@type": "kind:bytes"
                },
                {
                  "@type": "kind:interval_window"
                }
              ],
              "is_wrapper": true
            },
            "output_name": "None",
            "user_name": "WriteToPubSub/ToProtobuf.out"
          }
        ],
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s9"
        },
        "serialized_fn": "ref_AppliedPTransform_WriteToPubSub-ToProtobuf_13",
        "user_name": "WriteToPubSub/ToProtobuf"
      }
    },
    {
      "kind": "ParallelWrite",
      "name": "s11",
      "properties": {
        "display_data": [],
        "encoding": {
          "@type": "kind:windowed_value",
          "component_encodings": [
            {
              "@type": "kind:bytes"
            },
            {
              "@type": "kind:global_window"
            }
          ],
          "is_wrapper": true
        },
        "format": "pubsub",
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s10"
        },
        "pubsub_serialized_attributes_fn": "",
        "pubsub_topic": "projects/apache-beam-testing/topics/wc_topic_outputc85e89ee-529a-4913-9e90-bfad6f28625e",
        "user_name": "WriteToPubSub/Write/NativeWrite"
      }
    }
  ],
  "type": "JOB_TYPE_STREAMING"
}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: '2021-06-12T18:52:46.940105Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-06-12_11_52_46-1882832265145671257'
 location: 'us-central1'
 name: 'beamapp-jenkins-0612185235-537375'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2021-06-12T18:52:46.940105Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2021-06-12_11_52_46-1882832265145671257]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2021-06-12_11_52_46-1882832265145671257
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-12_11_52_46-1882832265145671257?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-06-12_11_52_46-1882832265145671257 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:49.163Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:49.223Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2021-06-12_11_52_46-1882832265145671257. The number of workers will be between 1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:49.269Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2021-06-12_11_52_46-1882832265145671257.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:50.967Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.495Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.537Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.593Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.625Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.662Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.692Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.764Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.843Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.883Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.922Z: JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.959Z: JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:51.993Z: JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.031Z: JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.062Z: JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.097Z: JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.124Z: JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.157Z: JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.192Z: JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.228Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.266Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into WriteToPubSub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.303Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.341Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.409Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.444Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.501Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.533Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:52:52.571Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:53:04.139Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:53:45.480Z: 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.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:54:25.290Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-12T18:54:25.320Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2021-06-12_11_52_46-1882832265145671257 after 364 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth process...
DEBUG:google.auth._default:No App Engine library was found so cannot authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub HTTP/1.1" 200 244
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-12_11_52_46-1882832265145671257?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py37.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 578.598s

OK

> Task :sdks:python:test-suites:dataflow:preCommitIT_V2

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py38:testPy38CloudCoverage'.
> 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. Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 59m 59s
103 actionable tasks: 74 executed, 29 from cache

Publishing build scan...
https://gradle.com/s/6zfh52xzn534c

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_PreCommit_Python_Cron #4309

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/4309/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_PreCommit_Python_Cron #4308

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/4308/display/redirect>

Changes:


------------------------------------------
[...truncated 1.65 MB...]
            "type": "STRING",
            "value": "apache_beam.transforms.core.CallableWrapperDoFn"
          },
          {
            "key": "fn",
            "label": "Transform Function",
            "namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
            "type": "STRING",
            "value": "<lambda>"
          }
        ],
        "non_parallel_inputs": {},
        "output_info": [
          {
            "encoding": {
              "@type": "kind:windowed_value",
              "component_encodings": [
                {
                  "@type": "kind:bytes"
                },
                {
                  "@type": "kind:interval_window"
                }
              ],
              "is_wrapper": true
            },
            "output_name": "None",
            "user_name": "encode.out"
          }
        ],
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s8"
        },
        "serialized_fn": "ref_AppliedPTransform_encode_11",
        "user_name": "encode"
      }
    },
    {
      "kind": "ParallelDo",
      "name": "s10",
      "properties": {
        "display_data": [
          {
            "key": "fn",
            "label": "Transform Function",
            "namespace": "apache_beam.transforms.core.ParDo",
            "shortValue": "CallableWrapperDoFn",
            "type": "STRING",
            "value": "apache_beam.transforms.core.CallableWrapperDoFn"
          },
          {
            "key": "fn",
            "label": "Transform Function",
            "namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
            "type": "STRING",
            "value": "bytes_to_proto_str"
          }
        ],
        "non_parallel_inputs": {},
        "output_info": [
          {
            "encoding": {
              "@type": "kind:windowed_value",
              "component_encodings": [
                {
                  "@type": "kind:bytes"
                },
                {
                  "@type": "kind:interval_window"
                }
              ],
              "is_wrapper": true
            },
            "output_name": "None",
            "user_name": "WriteToPubSub/ToProtobuf.out"
          }
        ],
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s9"
        },
        "serialized_fn": "ref_AppliedPTransform_WriteToPubSub-ToProtobuf_13",
        "user_name": "WriteToPubSub/ToProtobuf"
      }
    },
    {
      "kind": "ParallelWrite",
      "name": "s11",
      "properties": {
        "display_data": [],
        "encoding": {
          "@type": "kind:windowed_value",
          "component_encodings": [
            {
              "@type": "kind:bytes"
            },
            {
              "@type": "kind:global_window"
            }
          ],
          "is_wrapper": true
        },
        "format": "pubsub",
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s10"
        },
        "pubsub_serialized_attributes_fn": "",
        "pubsub_topic": "projects/apache-beam-testing/topics/wc_topic_output44eb3436-0fa9-4f21-9ac7-091d8aeb70af",
        "user_name": "WriteToPubSub/Write/NativeWrite"
      }
    }
  ],
  "type": "JOB_TYPE_STREAMING"
}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: '2021-06-13T06:54:04.705401Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-06-12_23_54_03-7733425221030643552'
 location: 'us-central1'
 name: 'beamapp-jenkins-0613065355-402896'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2021-06-13T06:54:04.705401Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2021-06-12_23_54_03-7733425221030643552]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2021-06-12_23_54_03-7733425221030643552
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-12_23_54_03-7733425221030643552?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-06-12_23_54_03-7733425221030643552 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:06.889Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:07.004Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2021-06-12_23_54_03-7733425221030643552. The number of workers will be between 1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:07.024Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2021-06-12_23_54_03-7733425221030643552.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:09.746Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.433Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.462Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.520Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.545Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.580Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.610Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.662Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.708Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.750Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.773Z: JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.805Z: JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.831Z: JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.848Z: JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.877Z: JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.911Z: JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.943Z: JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.967Z: JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:10.987Z: JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:11.013Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:11.054Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into WriteToPubSub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:11.095Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:11.124Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:11.146Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:11.172Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:11.220Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:11.245Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:11.279Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:31.861Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:54:54.952Z: 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.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:55:36.212Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T06:55:36.239Z: JOB_MESSAGE_DETAILED: Workers have started successfully.

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2021-06-12_23_50_19-15151275330903446708 after 363 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth process...
DEBUG:google.auth._default:No App Engine library was found so cannot authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub HTTP/1.1" 200 244
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-12_23_50_19-15151275330903446708?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py36.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 609.006s

OK

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2021-06-12_23_54_03-7733425221030643552 after 363 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth process...
DEBUG:google.auth._default:No App Engine library was found so cannot authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub HTTP/1.1" 200 244
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-12_23_54_03-7733425221030643552?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py37.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 578.943s

OK

FAILURE: Build failed with an exception.

* Where:
Script '<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 87

* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py37:preCommitIT_batch_V2'.
> 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. Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1h 1m 40s
103 actionable tasks: 74 executed, 29 from cache

Publishing build scan...
https://gradle.com/s/x7hx35yylbkgy

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


Build failed in Jenkins: beam_PreCommit_Python_Cron #4307

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/4307/display/redirect>

Changes:


------------------------------------------
[...truncated 1.64 MB...]
            "type": "STRING",
            "value": "apache_beam.transforms.core.CallableWrapperDoFn"
          },
          {
            "key": "fn",
            "label": "Transform Function",
            "namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
            "type": "STRING",
            "value": "<lambda>"
          }
        ],
        "non_parallel_inputs": {},
        "output_info": [
          {
            "encoding": {
              "@type": "kind:windowed_value",
              "component_encodings": [
                {
                  "@type": "kind:bytes"
                },
                {
                  "@type": "kind:interval_window"
                }
              ],
              "is_wrapper": true
            },
            "output_name": "None",
            "user_name": "encode.out"
          }
        ],
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s8"
        },
        "serialized_fn": "ref_AppliedPTransform_encode_11",
        "user_name": "encode"
      }
    },
    {
      "kind": "ParallelDo",
      "name": "s10",
      "properties": {
        "display_data": [
          {
            "key": "fn",
            "label": "Transform Function",
            "namespace": "apache_beam.transforms.core.ParDo",
            "shortValue": "CallableWrapperDoFn",
            "type": "STRING",
            "value": "apache_beam.transforms.core.CallableWrapperDoFn"
          },
          {
            "key": "fn",
            "label": "Transform Function",
            "namespace": "apache_beam.transforms.core.CallableWrapperDoFn",
            "type": "STRING",
            "value": "bytes_to_proto_str"
          }
        ],
        "non_parallel_inputs": {},
        "output_info": [
          {
            "encoding": {
              "@type": "kind:windowed_value",
              "component_encodings": [
                {
                  "@type": "kind:bytes"
                },
                {
                  "@type": "kind:interval_window"
                }
              ],
              "is_wrapper": true
            },
            "output_name": "None",
            "user_name": "WriteToPubSub/ToProtobuf.out"
          }
        ],
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s9"
        },
        "serialized_fn": "ref_AppliedPTransform_WriteToPubSub-ToProtobuf_13",
        "user_name": "WriteToPubSub/ToProtobuf"
      }
    },
    {
      "kind": "ParallelWrite",
      "name": "s11",
      "properties": {
        "display_data": [],
        "encoding": {
          "@type": "kind:windowed_value",
          "component_encodings": [
            {
              "@type": "kind:bytes"
            },
            {
              "@type": "kind:global_window"
            }
          ],
          "is_wrapper": true
        },
        "format": "pubsub",
        "parallel_input": {
          "@type": "OutputReference",
          "output_name": "None",
          "step_name": "s10"
        },
        "pubsub_serialized_attributes_fn": "",
        "pubsub_topic": "projects/apache-beam-testing/topics/wc_topic_outputd831dd28-1cc3-4111-a512-205f9ea5fe3f",
        "user_name": "WriteToPubSub/Write/NativeWrite"
      }
    }
  ],
  "type": "JOB_TYPE_STREAMING"
}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: '2021-06-13T00:54:08.526176Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-06-12_17_54_07-10909759549329258647'
 location: 'us-central1'
 name: 'beamapp-jenkins-0613005358-952277'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2021-06-13T00:54:08.526176Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2021-06-12_17_54_07-10909759549329258647]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2021-06-12_17_54_07-10909759549329258647
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-12_17_54_07-10909759549329258647?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-06-12_17_54_07-10909759549329258647 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:10.702Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:10.818Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2021-06-12_17_54_07-10909759549329258647. The number of workers will be between 1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:10.845Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2021-06-12_17_54_07-10909759549329258647.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:13.198Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:13.822Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:13.855Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:13.923Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:13.958Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:13.994Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.017Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.074Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.121Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.158Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.208Z: JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.238Z: JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.273Z: JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.309Z: JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.332Z: JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.359Z: JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.384Z: JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.409Z: JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.438Z: JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.472Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.499Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into WriteToPubSub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.560Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.586Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.618Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.647Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.705Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.742Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:14.772Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:42.884Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:54:54.436Z: 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.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:55:35.514Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-06-13T00:55:35.546Z: JOB_MESSAGE_DETAILED: Workers have started successfully.

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-12_17_46_54-3263100399609630992?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py37.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 549.250s

OK

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2021-06-12_17_54_07-10909759549329258647 after 364 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth process...
DEBUG:google.auth._default:No App Engine library was found so cannot authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub HTTP/1.1" 200 244
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-06-12_17_54_07-10909759549329258647?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py36.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 615.263s

OK

FAILURE: Build completed with 2 failures.

1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py36:testPy36Cloud'.
> 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. Run with --scan to get full insights.
==============================================================================

2: Task failed with an exception.
-----------
* Where:
Script '<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 87

* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py36:preCommitIT_batch_V2'.
> 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. Run with --scan to get full insights.
==============================================================================

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1h 2m 10s
103 actionable tasks: 74 executed, 29 from cache

Publishing build scan...
https://gradle.com/s/iu2ux5h64rcb4

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