See
<https://ci-beam.apache.org/job/beam_PerformanceTests_SparkReceiver_IO/269/display/redirect>
Changes:
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Task.upToDateWhen is false.
Starting process 'Gradle Test Executor 1'. Working directory:
/home/jenkins/jenkins-slave/workspace/beam_PerformanceTests_SparkReceiver_IO/src/sdks/java/io/sparkreceiver/2
Command: /usr/lib/jvm/java-8-openjdk-amd64/bin/java
-DbeamTestPipelineOptions=["--tempRoot=gs://temp-storage-for-perf-tests","--project=apache-beam-testing","--runner=DataflowRunner","--sourceOptions={\"numRecords\":\"5000000\",\"keySizeBytes\":\"1\",\"valueSizeBytes\":\"90\"}","--bigQueryDataset=beam_performance","--bigQueryTable=sparkreceiverioit_results","--influxMeasurement=sparkreceiverioit_results","--influxDatabase=beam_test_metrics","--influxHost=http://10.128.0.96:8086","--rabbitMqBootstrapServerAddress=amqp://guest:[email protected]:5672","--streamName=rabbitMqTestStream","--readTimeout=1800","--numWorkers=5","--autoscalingAlgorithm=NONE","--****HarnessContainerImage=","--dataflowWorkerJar=/home/jenkins/jenkins-slave/workspace/beam_PerformanceTests_SparkReceiver_IO/src/runners/google-cloud-dataflow-java/****/build/libs/beam-runners-google-cloud-dataflow-java-legacy-****-2.47.0-SNAPSHOT.jar","--region=us-central1";]
-Djava.security.manager=****.org.gradle.process.internal.****.child.BootstrapSecurityManager
-Dorg.gradle.internal.****.tmpdir=/home/jenkins/jenkins-slave/workspace/beam_PerformanceTests_SparkReceiver_IO/src/sdks/java/io/sparkreceiver/2/build/tmp/integrationTest/work
-Dorg.gradle.native=false -Xmx2g -Dfile.encoding=UTF-8 -Duser.country=US
-Duser.language=en -Duser.variant -ea -cp
/home/jenkins/.gradle/caches/7.5.1/****Main/gradle-****.jar
****.org.gradle.process.internal.****.GradleWorkerMain 'Gradle Test Executor 1'
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Gradle Test Executor 1 started executing tests.
> Task :sdks:java:io:sparkreceiver:2:integrationTest
org.apache.beam.sdk.io.sparkreceiver.SparkReceiverIOIT STANDARD_ERROR
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in
[jar:file:/home/jenkins/.gradle/caches/modules-2/files-2.1/org.slf4j/slf4j-simple/1.7.30/e606eac955f55ecf1d8edcccba04eb8ac98088dd/slf4j-simple-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/home/jenkins/jenkins-slave/workspace/beam_PerformanceTests_SparkReceiver_IO/src/runners/google-cloud-dataflow-java/****/build/libs/beam-runners-google-cloud-dataflow-java-legacy-****-2.47.0-SNAPSHOT.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an
explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.SimpleLoggerFactory]
org.apache.beam.sdk.io.sparkreceiver.SparkReceiverIOIT >
testSparkReceiverIOReadsInStreamingWithOffset STANDARD_ERROR
[Test ****] INFO org.apache.beam.sdk.io.sparkreceiver.SparkReceiverIOIT -
5000000 records were successfully written to RabbitMQ
[Test ****] INFO org.apache.beam.sdk.io.sparkreceiver.SparkReceiverIO -
ReadFromSparkReceiverWithOffsetDoFn started reading
[Test ****] WARN org.apache.beam.runners.dataflow.DataflowRunner - Prefer
--sdkContainerImage over deprecated legacy option --****HarnessContainerImage.
[Test ****] INFO
org.apache.beam.sdk.extensions.gcp.options.GcpOptions$GcpTempLocationFactory -
No tempLocation specified, attempting to use default bucket:
dataflow-staging-us-central1-844138762903
[Test ****] WARN
org.apache.beam.sdk.extensions.gcp.util.RetryHttpRequestInitializer - Request
failed with code 409, performed 0 retries due to IOExceptions, performed 0
retries due to unsuccessful status codes, HTTP framework says request can be
retried, (caller responsible for retrying):
https://storage.googleapis.com/storage/v1/b?predefinedAcl=projectPrivate&predefinedDefaultObjectAcl=projectPrivate&project=apache-beam-testing.
[Test ****] INFO
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
- No stagingLocation provided, falling back to gcpTempLocation
[Test ****] INFO org.apache.beam.runners.dataflow.DataflowRunner -
PipelineOptions.filesToStage was not specified. Defaulting to files from the
classpath: will stage 428 files. Enable logging at DEBUG level to see which
files will be staged.
[Test ****] INFO org.apache.beam.runners.dataflow.DataflowRunner -
Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
[Test ****] INFO org.apache.beam.runners.dataflow.util.PackageUtil -
Uploading 429 files from PipelineOptions.filesToStage to staging location to
prepare for execution.
[pool-8-thread-1] INFO org.apache.beam.runners.dataflow.util.PackageUtil -
Staging custom dataflow-****.jar as
beam-runners-google-cloud-dataflow-java-legacy-****-2.47.0-SNAPSHOT-np3xmcKCqJHv-yTgtYGNytr3qHzv25uov7WNup-oO9c.jar
[pool-8-thread-13] INFO org.apache.beam.runners.dataflow.util.PackageUtil -
Uploading /tmp/test6671786903519619534.zip to
gs://dataflow-staging-us-central1-844138762903/temp/staging/test-MpWhGhc8ZWQglu8cOlPKKnTxF-0gLpZa4FChfB_Wg1E.jar
[pool-8-thread-4] INFO org.apache.beam.runners.dataflow.util.PackageUtil -
Uploading /tmp/test1782338935616998211.zip to
gs://dataflow-staging-us-central1-844138762903/temp/staging/test-UcQpNwFiUkcZ77-XH68DrcAZ13rAusL6zFOk2TM3lXA.jar
[pool-8-thread-17] INFO org.apache.beam.runners.dataflow.util.PackageUtil -
Uploading /tmp/main6445199581338830877.zip to
gs://dataflow-staging-us-central1-844138762903/temp/staging/main-3HYWbLk0l4w-5IMB1dqnCDNm5aiB6QE3EWzuZ3vKqiI.jar
[Test ****] INFO org.apache.beam.runners.dataflow.util.PackageUtil -
Staging files complete: 426 files cached, 3 files newly uploaded in 1 seconds
[Test ****] INFO org.apache.beam.runners.dataflow.DataflowRunner - Staging
portable pipeline proto to
gs://dataflow-staging-us-central1-844138762903/temp/staging/
[pool-15-thread-1] INFO org.apache.beam.runners.dataflow.util.PackageUtil -
Uploading <161240 bytes, hash
e9e6bfe773eb7285f413337e9b75bec9b08a79fe56b3bc6192901543a2d61a3c> to
gs://dataflow-staging-us-central1-844138762903/temp/staging/pipeline-6ea_53PrcoX0EzN-m3W-ybCKef5Ws7xhkpAVQ6LWGjw.pb
[Test ****] INFO
org.apache.beam.runners.dataflow.DataflowPipelineTranslator - Adding Read from
unbounded RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/Impulse as step
s1
[Test ****] INFO
org.apache.beam.runners.dataflow.DataflowPipelineTranslator - Adding Read from
unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Pair
with initial restriction as step s2
[Test ****] INFO
org.apache.beam.runners.dataflow.DataflowPipelineTranslator - Adding Read from
unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Split
restriction as step s3
[Test ****] INFO
org.apache.beam.runners.dataflow.DataflowPipelineTranslator - Adding Read from
unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Explode
windows as step s4
[Test ****] INFO
org.apache.beam.runners.dataflow.DataflowPipelineTranslator - Adding Read from
unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Assign
unique key/AddKeys/Map as step s5
[Test ****] INFO
org.apache.beam.runners.dataflow.DataflowPipelineTranslator - Adding Read from
unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/ProcessKeyedElements
as step s6
[Test ****] INFO
org.apache.beam.runners.dataflow.DataflowPipelineTranslator - Adding Measure
read time as step s7
[Test ****] INFO
org.apache.beam.runners.dataflow.DataflowPipelineTranslator - Adding Counting
element as step s8
[Test ****] INFO org.apache.beam.runners.dataflow.DataflowRunner - Dataflow
SDK version: 2.47.0-SNAPSHOT
[Test ****] INFO org.apache.beam.runners.dataflow.DataflowRunner - To
access the Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-02-24_06_33_36-13526142497610602103?project=apache-beam-testing
[Test ****] INFO org.apache.beam.runners.dataflow.DataflowRunner -
Submitted job: 2023-02-24_06_33_36-13526142497610602103
[Test ****] INFO org.apache.beam.runners.dataflow.DataflowRunner - To
cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel
--region=us-central1 2023-02-24_06_33_36-13526142497610602103
[Test ****] WARN
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:33:40.721Z: The workflow name is not a valid Cloud Label. Labels
applied to Cloud resources (such as GCE Instances) for monitoring will be
labeled with this modified job name:
sparkreceiverioit0testsparkreceiverioreadsinstreamingwitho-qy4k. For the best
monitoring experience, please name your job with a valid Cloud Label. For
details, see:
https://cloud.google.com/compute/docs/labeling-resources#restrictions
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:33:51.209Z: 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
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:33:59.241Z: Worker configuration: e2-standard-4 in us-central1-a.
[Test ****] WARN
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.173Z: Querying the configuration of Pub/Sub subscription
_starting_signal/ failed. If the ack deadline on the subscription has been
changed from the default value, this may affect performance. Also, this
prevents Dataflow from checking for unsupported settings on the subscription.
See
https://cloud.google.com/dataflow/docs/concepts/security-and-permissions#accessing_pubsub
for further details. If the error is not correctable, the job may be updated
with a valid Pub/Sub configuration. Specific error: INVALID_ARGUMENT:
[type.googleapis.com/util.MessageSetPayload='[dist_proc.dax.internal.StackTraceProto]
{ stack_top_loc { filepath:
"dist_proc/dax_extensions/workflow/cloud/service/pubsub_subscription_util.cc"
line: 592 } address: 94272750897519 address: 94272750872743 address:
94272750859065 address: 94272750862763 address: 94272751332409 address:
94272696942226 address: 94272713928274 address: 94272606500510 address:
139795482531801 address: 139795481962143 } [dist_proc.dax.internal.TrailProto]
{ trail_point { source_file_loc { filepath:
"dist_proc/dax_extensions/workflow/cloud/service/pubsub_subscription_util.cc"
line: 592 } } } [dist_proc.dax.MessageCode] { argument { string_val:
"_starting_signal/" key: "subscription_name" } argument { string_val: "Invalid
resource name given (name=_starting_signal/). Refer to
https://cloud.google.com/pubsub/docs/admin#resource_names for more
information." key: "error" } origin_id: 10337475689278060414
[dist_proc.dax.pubsub_resource_message_ext]: GETTING_PUBSUB_SUBSCRIPTION_FAILED
}']
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.263Z: Expanding CoGroupByKey operations into optimizable
parts.
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.337Z: Expanding SplittableProcessKeyed operations into
optimizable parts.
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.376Z: Expanding GroupByKey operations into streaming
Read/Write steps
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.433Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.505Z: Fusing adjacent ParDo, Read, Write, and Flatten
operations
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.541Z: Fusing consumer Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Pair
with initial restriction into Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/Impulse
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.575Z: Fusing consumer Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Split
restriction into Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Pair
with initial restriction
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.597Z: Fusing consumer Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Explode
windows into Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Split
restriction
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.627Z: Fusing consumer Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Assign
unique key/AddKeys/Map into Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Explode
windows
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.662Z: Fusing consumer s6/GroupByKeyRaw/WriteStream into
Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Assign
unique key/AddKeys/Map
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.686Z: Fusing consumer s6/SplittableProcess into
s6/GroupByKeyRaw/ReadStream
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.706Z: Fusing consumer Measure read time into
s6/SplittableProcess
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:01.736Z: Fusing consumer Counting element into Measure read
time
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:02.188Z: Executing operation
s6/GroupByKeyRaw/ReadStream+s6/SplittableProcess+Measure read time+Counting
element
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:02.278Z: Starting 5 ****s in us-central1-a...
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:03.346Z: Executing operation Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/Impulse+Read from
unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Pair
with initial restriction+Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Split
restriction+Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Explode
windows+Read from unbounded
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Assign
unique key/AddKeys/Map+s6/GroupByKeyRaw/WriteStream
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:34:43.310Z: Autoscaling: Raised the number of ****s to 5 so that
the pipeline can catch up with its backlog and keep up with its input rate.
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:35:19.185Z: Workers have started successfully.
[Test ****] INFO
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler -
2023-02-24T14:35:21.640Z: All ****s have finished the startup processes and
began to receive work requests.
FATAL: command execution failed
java.io.IOException: Backing channel 'apache-beam-jenkins-15' is disconnected.
at
hudson.remoting.RemoteInvocationHandler.channelOrFail(RemoteInvocationHandler.java:215)
at
hudson.remoting.RemoteInvocationHandler.invoke(RemoteInvocationHandler.java:285)
at com.sun.proxy.$Proxy141.isAlive(Unknown Source)
at hudson.Launcher$RemoteLauncher$ProcImpl.isAlive(Launcher.java:1215)
at hudson.Launcher$RemoteLauncher$ProcImpl.join(Launcher.java:1207)
at hudson.Launcher$ProcStarter.join(Launcher.java:524)
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:814)
at hudson.model.Build$BuildExecution.build(Build.java:199)
at hudson.model.Build$BuildExecution.doRun(Build.java:164)
at
hudson.model.AbstractBuild$AbstractBuildExecution.run(AbstractBuild.java:522)
at hudson.model.Run.execute(Run.java:1896)
at hudson.model.FreeStyleBuild.run(FreeStyleBuild.java:44)
at hudson.model.ResourceController.execute(ResourceController.java:101)
at hudson.model.Executor.run(Executor.java:442)
Caused by: java.io.IOException: Pipe closed after 0 cycles
at
org.apache.sshd.common.channel.ChannelPipedInputStream.read(ChannelPipedInputStream.java:126)
at
org.apache.sshd.common.channel.ChannelPipedInputStream.read(ChannelPipedInputStream.java:105)
at
hudson.remoting.FlightRecorderInputStream.read(FlightRecorderInputStream.java:94)
at
hudson.remoting.ChunkedInputStream.readHeader(ChunkedInputStream.java:75)
at
hudson.remoting.ChunkedInputStream.readUntilBreak(ChunkedInputStream.java:105)
at
hudson.remoting.ChunkedCommandTransport.readBlock(ChunkedCommandTransport.java:39)
at
hudson.remoting.AbstractSynchronousByteArrayCommandTransport.read(AbstractSynchronousByteArrayCommandTransport.java:34)
at
hudson.remoting.SynchronousCommandTransport$ReaderThread.run(SynchronousCommandTransport.java:61)
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
FATAL: Channel "hudson.remoting.Channel@a7ba98e:apache-beam-jenkins-15": Remote
call on apache-beam-jenkins-15 failed. The channel is closing down or has
closed down
java.io.IOException: Pipe closed after 0 cycles
at
org.apache.sshd.common.channel.ChannelPipedInputStream.read(ChannelPipedInputStream.java:126)
at
org.apache.sshd.common.channel.ChannelPipedInputStream.read(ChannelPipedInputStream.java:105)
at
hudson.remoting.FlightRecorderInputStream.read(FlightRecorderInputStream.java:94)
at
hudson.remoting.ChunkedInputStream.readHeader(ChunkedInputStream.java:75)
at
hudson.remoting.ChunkedInputStream.readUntilBreak(ChunkedInputStream.java:105)
at
hudson.remoting.ChunkedCommandTransport.readBlock(ChunkedCommandTransport.java:39)
at
hudson.remoting.AbstractSynchronousByteArrayCommandTransport.read(AbstractSynchronousByteArrayCommandTransport.java:34)
at
hudson.remoting.SynchronousCommandTransport$ReaderThread.run(SynchronousCommandTransport.java:61)
Caused: hudson.remoting.ChannelClosedException: Channel
"hudson.remoting.Channel@a7ba98e:apache-beam-jenkins-15": Remote call on
apache-beam-jenkins-15 failed. The channel is closing down or has closed down
at hudson.remoting.Channel.call(Channel.java:993)
at hudson.Launcher$RemoteLauncher.kill(Launcher.java:1150)
at
hudson.model.AbstractBuild$AbstractBuildExecution.run(AbstractBuild.java:534)
at hudson.model.Run.execute(Run.java:1896)
at hudson.model.FreeStyleBuild.run(FreeStyleBuild.java:44)
at hudson.model.ResourceController.execute(ResourceController.java:101)
at hudson.model.Executor.run(Executor.java:442)
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