See 
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/403/display/redirect?page=changes>

Changes:

[robertwb] [BEAM-9577] Small fixes to portable runner staging.


------------------------------------------
[...truncated 5.56 MB...]
            "type": "STRING", 
            "value": "apache_beam.transforms.core.CallableWrapperDoFn"
          }
        ], 
        "non_parallel_inputs": {}, 
        "output_info": [
          {
            "encoding": {
              "@type": "kind:windowed_value", 
              "component_encodings": [
                {
                  "@type": 
"FastPrimitivesCoder$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
 
                  "component_encodings": [
                    {
                      "@type": 
"FastPrimitivesCoder$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
 
                      "component_encodings": [], 
                      "pipeline_proto_coder_id": 
"ref_Coder_FastPrimitivesCoder_4"
                    }, 
                    {
                      "@type": 
"FastPrimitivesCoder$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
 
                      "component_encodings": [], 
                      "pipeline_proto_coder_id": 
"ref_Coder_FastPrimitivesCoder_4"
                    }
                  ], 
                  "is_pair_like": true, 
                  "pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_4"
                }, 
                {
                  "@type": "kind:global_window"
                }
              ], 
              "is_wrapper": true
            }, 
            "output_name": "None", 
            "user_name": "assert_that/Unkey.out"
          }
        ], 
        "parallel_input": {
          "@type": "OutputReference", 
          "output_name": "None", 
          "step_name": "s19"
        }, 
        "serialized_fn": "ref_AppliedPTransform_assert_that/Unkey_29", 
        "user_name": "assert_that/Unkey"
      }
    }, 
    {
      "kind": "ParallelDo", 
      "name": "s21", 
      "properties": {
        "display_data": [
          {
            "key": "fn", 
            "label": "Transform Function", 
            "namespace": "apache_beam.transforms.core.CallableWrapperDoFn", 
            "type": "STRING", 
            "value": "_equal"
          }, 
          {
            "key": "fn", 
            "label": "Transform Function", 
            "namespace": "apache_beam.transforms.core.ParDo", 
            "shortValue": "CallableWrapperDoFn", 
            "type": "STRING", 
            "value": "apache_beam.transforms.core.CallableWrapperDoFn"
          }
        ], 
        "non_parallel_inputs": {}, 
        "output_info": [
          {
            "encoding": {
              "@type": "kind:windowed_value", 
              "component_encodings": [
                {
                  "@type": 
"FastPrimitivesCoder$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
 
                  "component_encodings": [
                    {
                      "@type": 
"FastPrimitivesCoder$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
 
                      "component_encodings": [], 
                      "pipeline_proto_coder_id": 
"ref_Coder_FastPrimitivesCoder_4"
                    }, 
                    {
                      "@type": 
"FastPrimitivesCoder$eNprYEpOLEhMzkiNT0pNzNVLzk9JLSqGUlxuicUlAUWZuZklmWWpxc4gQa5CBs3GQsbaQqZQ/vi0xJycpMTk7Hiw+kJmPEYFZCZn56RCjWABGsFaW8iWVJykBwDlGS3/",
 
                      "component_encodings": [], 
                      "pipeline_proto_coder_id": 
"ref_Coder_FastPrimitivesCoder_4"
                    }
                  ], 
                  "is_pair_like": true, 
                  "pipeline_proto_coder_id": "ref_Coder_FastPrimitivesCoder_4"
                }, 
                {
                  "@type": "kind:global_window"
                }
              ], 
              "is_wrapper": true
            }, 
            "output_name": "None", 
            "user_name": "assert_that/Match.out"
          }
        ], 
        "parallel_input": {
          "@type": "OutputReference", 
          "output_name": "None", 
          "step_name": "s20"
        }, 
        "serialized_fn": "ref_AppliedPTransform_assert_that/Match_30", 
        "user_name": "assert_that/Match"
      }
    }
  ], 
  "type": "JOB_TYPE_STREAMING"
}
apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
 createTime: u'2020-04-18T01:53:13.763393Z'
 currentStateTime: u'1970-01-01T00:00:00Z'
 id: u'2020-04-17_18_53_12-18084937550110697944'
 location: u'us-central1'
 name: u'beamapp-jenkins-0418015248-462602'
 projectId: u'apache-beam-testing'
 stageStates: []
 startTime: u'2020-04-18T01:53:13.763393Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id: 
[2020-04-17_18_53_12-18084937550110697944]
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_18_53_12-18084937550110697944?project=apache-beam-testing
apache_beam.runners.dataflow.test_dataflow_runner: WARNING: Waiting 
indefinitely for streaming job.
apache_beam.runners.dataflow.dataflow_runner: INFO: Job 
2020-04-17_18_53_12-18084937550110697944 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:12.706Z: 
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2020-04-17_18_53_12-18084937550110697944. The number of workers will be between 
1 and 100.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:12.706Z: 
JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. 
Workers will scale between 1 and 100 unless maxNumWorkers is specified.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:12.708Z: 
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 
2020-04-17_18_53_12-18084937550110697944.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:16.228Z: 
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service 
Account.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:17.113Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:17.803Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:17.829Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:17.911Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:17.946Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
assert_that/Group/GroupByKey: GroupByKey not followed by a combiner.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:17.978Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not 
followed by a combiner.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.023Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.058Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.145Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.235Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.298Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.326Z: 
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.355Z: 
JOB_MESSAGE_DETAILED: Fusing unzipped copy of 
assert_that/Group/GroupByKey/WriteStream, through flatten 
assert_that/Group/Flatten, into producer assert_that/Group/pair_with_0
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.394Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream 
into assert_that/Group/pair_with_1
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.430Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into 
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.462Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into 
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.501Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Input/MaybeReshuffle/Reshuffle/RemoveRandomKeys into 
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.535Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Input/Map(decode) into 
Input/MaybeReshuffle/Reshuffle/RemoveRandomKeys
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.572Z: 
JOB_MESSAGE_DETAILED: Fusing consumer ApplyPardo into Input/Map(decode)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.600Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into 
ApplyPardo
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.629Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into 
assert_that/WindowInto(WindowIntoFn)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.663Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into 
assert_that/ToVoidKey
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.694Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets 
into assert_that/Group/GroupByKey/ReadStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.720Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
assert_that/Group/Map(_merge_tagged_vals_under_key) into 
assert_that/Group/GroupByKey/MergeBuckets
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.753Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into 
assert_that/Group/Map(_merge_tagged_vals_under_key)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.783Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.820Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Input/FlatMap(<lambda at core.py:2714>) 
into Input/Impulse
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.859Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at 
core.py:2714>) into assert_that/Create/Impulse
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.894Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into 
assert_that/Create/FlatMap(<lambda at core.py:2714>)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.933Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into 
assert_that/Create/Map(decode)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:18.973Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Input/MaybeReshuffle/Reshuffle/AddRandomKeys into Input/FlatMap(<lambda at 
core.py:2714>)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:19.013Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into 
Input/MaybeReshuffle/Reshuffle/AddRandomKeys
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:19.041Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into 
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:19.078Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:19.110Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:19.147Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:19.174Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:21.452Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:21.488Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:21.530Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:34.559Z: 
JOB_MESSAGE_WARNING: Your project already contains 100 Dataflow-created metric 
descriptors and Stackdriver will not create new Dataflow custom metrics for 
this job. Each unique user-defined metric name (independent of the DoFn in 
which it is defined) produces a new metric descriptor. To 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
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:53:45.603Z: 
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.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:54:29.511Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:54:29.545Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T01:59:20.492Z: 
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service 
Account.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T02:01:00.277Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T02:01:00.332Z: 
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T02:01:00.369Z: 
JOB_MESSAGE_BASIC: Stopping worker pool...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T02:01:00.413Z: 
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T02:01:00.440Z: 
JOB_MESSAGE_BASIC: Stopping worker pool...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T02:02:12.756Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 0 based on 
low average worker CPU utilization, and the pipeline having sufficiently low 
backlog and keeping up with input rate.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T02:02:12.836Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-04-18T02:02:12.874Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
apache_beam.runners.dataflow.dataflow_runner: INFO: Job 
2020-04-17_18_53_12-18084937550110697944 is in state JOB_STATE_DONE
--------------------- >> end captured logging << ---------------------

----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df.xml
----------------------------------------------------------------------
XML: 
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 27 tests in 2263.706s

FAILED (failures=1)
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_18_53_22-12772787201323912865?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_01_50-5792113732863758082?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_12_41-15467342074191233784?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_21_49-13007814374429672115?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_18_53_12-18084937550110697944?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_02_44-17444395512684791166?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_12_42-5550282026847574206?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_18_53_21-12069822785923853570?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_01_33-4022908654705228814?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_11_25-1723862853405949848?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_18_53_10-8407400900621688055?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_01_39-2081086702243612689?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_11_35-12134857121942314120?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_18_53_10-7385365536186144445?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_04_46-1309251194052583241?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_18_53_22-13260718511146613136?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_01_55-176606101249617143?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_12_16-7203202541193773861?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_18_53_24-16736482878245491012?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_01_51-6915366640100882423?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_11_28-12248609500248310928?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_18_53_14-13636025525265196868?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_01_46-9336089998336219016?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-17_19_11_21-12554987556613781342?project=apache-beam-testing

> Task :sdks:python:test-suites:dataflow:py2:validatesRunnerStreamingTests 
> FAILED

FAILURE: Build failed with an exception.

* Where:
Build file 
'<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/py2/build.gradle'>
 line: 142

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:dataflow:py2: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. 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 6.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See 
https://docs.gradle.org/5.2.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1h 16m 42s
64 actionable tasks: 46 executed, 18 from cache

Publishing build scan...
https://gradle.com/s/eiqu3yc5fa2ta

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to