See 
<https://ci-beam.apache.org/job/beam_PerformanceTests_SparkReceiver_IO/95/display/redirect?page=changes>

Changes:

[Kenneth Knowles] Fix dependencies of archetype tasks

[Kenneth Knowles] Upgrade checker framework to 3.13.0

[Kenneth Knowles] Upgrade checker framework to 3.14.0

[Kenneth Knowles] Upgrade checker framework to 3.15.0

[Kenneth Knowles] Inline :sdks:java:core:buildDependents so we can 
incrementally split

[Moritz Mack] [Spark Dataset runner] Fix support for Java 11 (closes #24392)

[Moritz Mack] fix spotless

[noreply] Fix SparkReceiverIOIT test (#24375)

[noreply] Bump cloud.google.com/go/bigquery from 1.42.0 to 1.43.0 in /sdks

[noreply] Bump github.com/aws/aws-sdk-go-v2/feature/s3/manager in /sdks (#24348)

[noreply] pg_23079 remove replacing tabs at playground (#24285)

[noreply] [#24339] Make Slices use iterable coder instead of custom coder.

[noreply] Add custom inference fns to CHANGES.md (#24412)

[noreply] Better warning and Exception message in CalciteUtil (#24414)

[noreply] List breaking change #24339 in Changes.md (#24420)

[noreply] Allow composite output types in sql.Transform. (#24421)

[noreply] Add map_windows support to Go SDK (#24307)


------------------------------------------
[...truncated 350.29 KB...]
> Task :sdks:java:io:google-cloud-platform:compileTestJava
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Compiling with toolchain '/usr/lib/jvm/java-8-openjdk-amd64'.
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Note: Recompile with -Xlint:deprecation for details.
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Invalidating in-memory cache of 
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> Task :runners:google-cloud-dataflow-java:compileTestJava
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Compiling with toolchain '/usr/lib/jvm/java-8-openjdk-amd64'.
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> Task :runners:google-cloud-dataflow-java:testJar
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> Task :runners:google-cloud-dataflow-java:****:legacy-****:compileJava
Note: Some input files use or override a deprecated API.
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Invalidating in-memory cache of 
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:runners:google-cloud-dataflow-java:****:legacy-****:compileJava 
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GRADLE SHADOW STATS

Total Jars: 15 (includes project)
Total Time: 2.811s [2811ms]
Average Time/Jar: 0.1874s [187.4ms]
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builds,5,main]) completed. Took 4.728 secs.
work action resolve beam-runners-google-cloud-dataflow-java-legacy-****.jar 
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(Thread[Execution **** Thread 5,5,main]) started.
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(Thread[Execution **** Thread 5,5,main]) completed. Took 0.0 secs.
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Gradle Test Executor 6 started executing tests.

> Task :sdks:java:io:sparkreceiver:2:integrationTest
Custom actions are attached to task 
':sdks:java:io:sparkreceiver:2:integrationTest'.
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f7cce6b7d47e7f1d37dadc1e567645de
Task ':sdks:java:io:sparkreceiver:2:integrationTest' is not up-to-date because:
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Starting process 'Gradle Test Executor 6'. Working directory: 
<https://ci-beam.apache.org/job/beam_PerformanceTests_SparkReceiver_IO/ws/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=900","--numWorkers=5","--autoscalingAlgorithm=NONE","--****HarnessContainerImage=","--dataflowWorkerJar=<https://ci-beam.apache.org/job/beam_PerformanceTests_SparkReceiver_IO/ws/src/runners/google-cloud-dataflow-java/****/legacy-****/build/libs/beam-runners-google-cloud-dataflow-java-legacy-****-2.44.0-SNAPSHOT.jar","--region=us-central1";]>
 
-Djava.security.manager=****.org.gradle.process.internal.****.child.BootstrapSecurityManager
 
-Dorg.gradle.internal.****.tmpdir=<https://ci-beam.apache.org/job/beam_PerformanceTests_SparkReceiver_IO/ws/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 6'
Successfully started process 'Gradle Test Executor 6'

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:<https://ci-beam.apache.org/job/beam_PerformanceTests_SparkReceiver_IO/ws/src/runners/google-cloud-dataflow-java/****/legacy-****/build/libs/beam-runners-google-cloud-dataflow-java-legacy-****-2.44.0-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 422 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 423 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-****-2.44.0-SNAPSHOT-ZweCSXIFNS3bjV_ZnIgrpIRQDQtkpI0q13JBVnE9zjM.jar
    [pool-8-thread-21] INFO org.apache.beam.runners.dataflow.util.PackageUtil - 
Uploading /tmp/main5403163020881102694.zip to 
gs://dataflow-staging-us-central1-844138762903/temp/staging/main-U-5eImvxfpRwMEW4dFgfQlYXKv1HjGLVp17ouv9P4Sw.jar
    [pool-8-thread-9] INFO org.apache.beam.runners.dataflow.util.PackageUtil - 
Uploading /tmp/test7087190846826068723.zip to 
gs://dataflow-staging-us-central1-844138762903/temp/staging/test-O5-uBqZDSSuQbPpqq41y7X_XtYdZ-TqK23IKR9Ik_GA.jar
    [pool-8-thread-13] INFO org.apache.beam.runners.dataflow.util.PackageUtil - 
Uploading /tmp/test6281819251294286095.zip to 
gs://dataflow-staging-us-central1-844138762903/temp/staging/test-Q0lDB6kvin-WzeW_oAnyigtc5W9pVu5J04hIjeWDkWc.jar
    [Test ****] INFO org.apache.beam.runners.dataflow.util.PackageUtil - 
Staging files complete: 420 files cached, 3 files newly uploaded in 0 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 <158992 bytes, hash 
9eecd5aec73c5cfee8e1a31584083d5757fa60b4dce5eb01ddff6fa808a09539> to 
gs://dataflow-staging-us-central1-844138762903/temp/staging/pipeline-nuzVrsc8XP7o4aMVhAg9V1f6YLTc5esB3f9vqAiglTk.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: 2.44.0-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-central1/2022-11-29_18_35_34-17585567451933970155?project=apache-beam-testing
    [Test ****] INFO org.apache.beam.runners.dataflow.DataflowRunner - 
Submitted job: 2022-11-29_18_35_34-17585567451933970155
    [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 2022-11-29_18_35_34-17585567451933970155
    [Test ****] WARN 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:37.283Z: 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-4vtb. 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$LoggingHandler - 
2022-11-30T02:35:54.677Z: Worker configuration: e2-standard-4 in us-central1-a.
    [Test ****] WARN 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:56.775Z: 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: 94711303624721 address: 94711303591476 address: 
94711303578671 address: 94711303582411 address: 94711304044923 address: 
94711239739077 address: 94711263107565 address: 94711187770595 address: 
140143353550809 address: 140143352981151 } [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: 10572293189071584026 
[dist_proc.dax.pubsub_resource_message_ext]: GETTING_PUBSUB_SUBSCRIPTION_FAILED 
}']
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:56.855Z: Expanding CoGroupByKey operations into optimizable 
parts.
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:56.896Z: Expanding SplittableProcessKeyed operations into 
optimizable parts.
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:56.932Z: Expanding GroupByKey operations into streaming 
Read/Write steps
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:56.995Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:57.068Z: Fusing adjacent ParDo, Read, Write, and Flatten 
operations
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:57.105Z: 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$LoggingHandler - 
2022-11-30T02:35:57.139Z: Fusing consumer Read from unbounded 
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Split
 restriction into Read from unbounded 
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Pair
 with initial restriction
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:57.175Z: 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$LoggingHandler - 
2022-11-30T02:35:57.208Z: Fusing consumer Read from unbounded 
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Assign
 unique key/AddKeys/Map into Read from unbounded 
RabbitMq/SparkReceiverIO.ReadFromSparkReceiverViaSdf/ParDo(ReadFromSparkReceiverWithOffset)/ParMultiDo(ReadFromSparkReceiverWithOffset)/Explode
 windows
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:57.234Z: 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$LoggingHandler - 
2022-11-30T02:35:57.267Z: Fusing consumer s6/SplittableProcess into 
s6/GroupByKeyRaw/ReadStream
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:57.302Z: Fusing consumer Measure read time into 
s6/SplittableProcess
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:57.323Z: Fusing consumer Counting element into Measure read 
time
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:57.717Z: Executing operation 
s6/GroupByKeyRaw/ReadStream+s6/SplittableProcess+Measure read time+Counting 
element
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:57.800Z: Starting 5 ****s in us-central1-a...
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:35:58.890Z: 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$LoggingHandler - 
2022-11-30T02:36:11.580Z: Your project already contains 100 Dataflow-created 
metric descriptors, so new user metrics of the form custom.googleapis.com/* 
will not be created. However, all user metrics are also available in the metric 
dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, 
you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:36:42.305Z: 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$LoggingHandler - 
2022-11-30T02:37:13.484Z: Workers have started successfully.
    [Test ****] INFO 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:37:14.747Z: All ****s have finished the startup processes and 
began to receive work requests.
    [Test ****] WARN 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler - 
2022-11-30T02:48:13.974Z: 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: 94711303624721 address: 94711303591476 address: 
94711303578671 address: 94711303582411 address: 94711304044923 address: 
94711303572456 address: 94711137645924 address: 94711187771426 address: 
140143353550809 address: 140143352981151 } [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: 9537039191495500576 
[dist_proc.dax.pubsub_resource_message_ext]: GETTING_PUBSUB_SUBSCRIPTION_FAILED 
}']
    [Test ****] WARN org.apache.beam.runners.dataflow.DataflowPipelineJob - No 
terminal state was returned within allotted timeout. State value RUNNING

org.apache.beam.sdk.io.sparkreceiver.SparkReceiverIOIT > 
testSparkReceiverIOReadsInStreamingWithOffset FAILED
    java.lang.AssertionError: expected:<5000000> but was:<3023859>
        at org.junit.Assert.fail(Assert.java:89)
        at org.junit.Assert.failNotEquals(Assert.java:835)
        at org.junit.Assert.assertEquals(Assert.java:647)
        at org.junit.Assert.assertEquals(Assert.java:633)
        at 
org.apache.beam.sdk.io.sparkreceiver.SparkReceiverIOIT.testSparkReceiverIOReadsInStreamingWithOffset(SparkReceiverIOIT.java:337)

Gradle Test Executor 6 finished executing tests.

> Task :sdks:java:io:sparkreceiver:2:integrationTest

1 test completed, 1 failed
Finished generating test XML results (0.021 secs) into: 
<https://ci-beam.apache.org/job/beam_PerformanceTests_SparkReceiver_IO/ws/src/sdks/java/io/sparkreceiver/2/build/test-results/integrationTest>
Generating HTML test report...
Finished generating test html results (0.028 secs) into: 
<https://ci-beam.apache.org/job/beam_PerformanceTests_SparkReceiver_IO/ws/src/sdks/java/io/sparkreceiver/2/build/reports/tests/integrationTest>

> Task :sdks:java:io:sparkreceiver:2:integrationTest FAILED
:sdks:java:io:sparkreceiver:2:integrationTest (Thread[Execution **** Thread 
2,5,main]) completed. Took 26 mins 55.415 secs.

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':sdks:java:io:sparkreceiver:2:integrationTest'.
> There were failing tests. See the report at: 
> file://<https://ci-beam.apache.org/job/beam_PerformanceTests_SparkReceiver_IO/ws/src/sdks/java/io/sparkreceiver/2/build/reports/tests/integrationTest/index.html>

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --debug option to get more log output.

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

Deprecated Gradle features were used in this build, making it incompatible with 
Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings 
and determine if they come from your own scripts or plugins.

See 
https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 29m 57s
138 actionable tasks: 92 executed, 44 from cache, 2 up-to-date

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

Stopped 5 **** daemon(s).
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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