See 
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/260/display/redirect?page=changes>

Changes:

[zyichi] Update BigQuery source in bigquery_tornadoes example

[rohde.samuel] Add dependency comment in streaming cache

[ehudm] [BEAM-1894] Remove obsolete EagerRunner test


------------------------------------------
[...truncated 3.72 MB...]
                  "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/Group/Map(_merge_tagged_vals_under_key).out"
          }
        ], 
        "parallel_input": {
          "@type": "OutputReference", 
          "output_name": "out", 
          "step_name": "s18"
        }, 
        "serialized_fn": 
"ref_AppliedPTransform_assert_that/Group/Map(_merge_tagged_vals_under_key)_28", 
        "user_name": "assert_that/Group/Map(_merge_tagged_vals_under_key)"
      }
    }, 
    {
      "kind": "ParallelDo", 
      "name": "s20", 
      "properties": {
        "display_data": [
          {
            "key": "fn", 
            "label": "Transform Function", 
            "namespace": "apache_beam.transforms.core.CallableWrapperDoFn", 
            "type": "STRING", 
            "value": "<lambda>"
          }, 
          {
            "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/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_BATCH"
}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: u'2020-04-01T18:41:43.746500Z'
 currentStateTime: u'1970-01-01T00:00:00Z'
 id: u'2020-04-01_11_41_42-12874790914180543616'
 location: u'us-central1'
 name: u'beamapp-jenkins-0401184125-869176'
 projectId: u'apache-beam-testing'
 stageStates: []
 startTime: u'2020-04-01T18:41:43.746500Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2020-04-01_11_41_42-12874790914180543616]
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-04-01_11_41_42-12874790914180543616?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2020-04-01_11_41_42-12874790914180543616 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:42.433Z: 
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2020-04-01_11_41_42-12874790914180543616. The number of workers will be between 
1 and 1000.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:42.433Z: 
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 
2020-04-01_11_41_42-12874790914180543616.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:46.026Z: 
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service 
Account.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:46.883Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-1 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.459Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.489Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.548Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.575Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
assert_that/Group/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.602Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not 
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.632Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.667Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.712Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.734Z: 
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.760Z: 
JOB_MESSAGE_DETAILED: Fusing unzipped copy of 
assert_that/Group/GroupByKey/Write, through flatten assert_that/Group/Flatten, 
into producer assert_that/Group/pair_with_0
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.791Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
assert_that/Group/Map(_merge_tagged_vals_under_key) into 
assert_that/Group/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.822Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into 
assert_that/Group/Map(_merge_tagged_vals_under_key)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.852Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.882Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/Write into 
assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.912Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2644>) 
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.932Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at 
core.py:2644>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.962Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into 
assert_that/Create/FlatMap(<lambda at core.py:2644>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:47.995Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into 
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.027Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at 
core.py:2644>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.064Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into 
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.094Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.127Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.158Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.182Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) 
into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.212Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.236Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into 
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.267Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.295Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into 
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.324Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into 
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.352Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into 
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.390Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.416Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.445Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.468Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.614Z: 
JOB_MESSAGE_DEBUG: Executing wait step start22
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.670Z: 
JOB_MESSAGE_BASIC: Executing operation assert_that/Group/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.692Z: 
JOB_MESSAGE_BASIC: Executing operation 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.716Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.747Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.780Z: 
JOB_MESSAGE_BASIC: Finished operation assert_that/Group/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.793Z: 
JOB_MESSAGE_BASIC: Finished operation 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.850Z: 
JOB_MESSAGE_DEBUG: Value "assert_that/Group/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.873Z: 
JOB_MESSAGE_DEBUG: Value 
"Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Session" 
materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.910Z: 
JOB_MESSAGE_BASIC: Executing operation 
assert_that/Create/Impulse+assert_that/Create/FlatMap(<lambda at 
core.py:2644>)+assert_that/Create/Map(decode)+assert_that/Group/pair_with_0+assert_that/Group/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:41:48.937Z: 
JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at 
core.py:2644>)+Create/MaybeReshuffle/Reshuffle/AddRandomKeys+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:42:14.569Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 based on 
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:42:20.644Z: 
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
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:42:44.320Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-01T18:42:44.353Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
FATAL: command execution failed
hudson.remoting.ChannelClosedException: Channel "unknown": Remote call on 
JNLP4-connect connection from 
192.194.239.35.bc.googleusercontent.com/35.239.194.192:37254 failed. The 
channel is closing down or has closed down
        at hudson.remoting.Channel.call(Channel.java:950)
        at 
hudson.remoting.RemoteInvocationHandler.invoke(RemoteInvocationHandler.java:283)
        at com.sun.proxy.$Proxy140.isAlive(Unknown Source)
        at hudson.Launcher$RemoteLauncher$ProcImpl.isAlive(Launcher.java:1150)
        at hudson.Launcher$RemoteLauncher$ProcImpl.join(Launcher.java:1142)
        at hudson.Launcher$ProcStarter.join(Launcher.java:470)
        at hudson.plugins.gradle.Gradle.perform(Gradle.java:317)
        at hudson.tasks.BuildStepMonitor$1.perform(BuildStepMonitor.java:20)
        at 
hudson.model.AbstractBuild$AbstractBuildExecution.perform(AbstractBuild.java:741)
        at hudson.model.Build$BuildExecution.build(Build.java:206)
        at hudson.model.Build$BuildExecution.doRun(Build.java:163)
        at 
hudson.model.AbstractBuild$AbstractBuildExecution.run(AbstractBuild.java:504)
        at hudson.model.Run.execute(Run.java:1815)
        at hudson.model.FreeStyleBuild.run(FreeStyleBuild.java:43)
        at hudson.model.ResourceController.execute(ResourceController.java:97)
        at hudson.model.Executor.run(Executor.java:429)
Caused by: java.nio.channels.ClosedChannelException
        at 
org.jenkinsci.remoting.protocol.NetworkLayer.onRecvClosed(NetworkLayer.java:154)
        at 
org.jenkinsci.remoting.protocol.impl.NIONetworkLayer.ready(NIONetworkLayer.java:142)
        at org.jenkinsci.remoting.protocol.IOHub$OnReady.run(IOHub.java:795)
        at 
jenkins.util.ContextResettingExecutorService$1.run(ContextResettingExecutorService.java:28)
        at 
jenkins.security.ImpersonatingExecutorService$1.run(ImpersonatingExecutorService.java:59)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
ERROR: apache-beam-jenkins-7 is offline; cannot locate JDK 1.8 (latest)

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

Reply via email to