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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/11/18 19:04:55 UTC
Build failed in Jenkins: beam_PerformanceTests_Kafka_IO #3343
See <https://ci-beam.apache.org/job/beam_PerformanceTests_Kafka_IO/3343/display/redirect?page=changes>
Changes:
[noreply] Move dashboard links to dedicated section
[noreply] [Spark dataset runner] Cache datasets if used multiple times (#24009)
[noreply] Remove section from troubleshooting about fixed dictionary issue
[noreply] Fix flink XVR tests (#24228)
[noreply] Adding the list of example notebooks to the ML readme file. (#24255)
[noreply] Updating timezone for Beam 2.43.0 release (#24258)
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group.instance.id = null
heartbeat.interval.ms = 3000
interceptor.classes = []
internal.leave.group.on.close = true
isolation.level = read_uncommitted
key.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
max.partition.fetch.bytes = 1048576
max.poll.interval.ms = 300000
max.poll.records = 500
metadata.max.age.ms = 300000
metric.reporters = []
metrics.num.samples = 2
metrics.recording.level = INFO
metrics.sample.window.ms = 30000
partition.assignment.strategy = [class org.apache.kafka.clients.consumer.RangeAssignor]
receive.buffer.bytes = 524288
reconnect.backoff.max.ms = 1000
reconnect.backoff.ms = 50
request.timeout.ms = 30000
retry.backoff.ms = 100
sasl.client.callback.handler.class = null
sasl.jaas.config = null
sasl.kerberos.kinit.cmd = /usr/bin/kinit
sasl.kerberos.min.time.before.relogin = 60000
sasl.kerberos.service.name = null
sasl.kerberos.ticket.renew.jitter = 0.05
sasl.kerberos.ticket.renew.window.factor = 0.8
sasl.login.callback.handler.class = null
sasl.login.class = null
sasl.login.refresh.buffer.seconds = 300
sasl.login.refresh.min.period.seconds = 60
sasl.login.refresh.window.factor = 0.8
sasl.login.refresh.window.jitter = 0.05
sasl.mechanism = GSSAPI
security.protocol = PLAINTEXT
security.providers = null
send.buffer.bytes = 131072
session.timeout.ms = 10000
ssl.cipher.suites = null
ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
ssl.endpoint.identification.algorithm = https
ssl.key.password = null
ssl.keymanager.algorithm = SunX509
ssl.keystore.location = null
ssl.keystore.password = null
ssl.keystore.type = JKS
ssl.protocol = TLS
ssl.provider = null
ssl.secure.random.implementation = null
ssl.trustmanager.algorithm = PKIX
ssl.truststore.location = null
ssl.truststore.password = null
ssl.truststore.type = JKS
value.deserializer = class org.apache.kafka.common.serialization.ByteArrayDeserializer
Nov 18, 2022 6:49:43 PM org.apache.kafka.common.utils.AppInfoParser$AppInfo <init>
INFO: Kafka version: 2.4.1
Nov 18, 2022 6:49:43 PM org.apache.kafka.common.utils.AppInfoParser$AppInfo <init>
INFO: Kafka commitId: c57222ae8cd7866b
Nov 18, 2022 6:49:43 PM org.apache.kafka.common.utils.AppInfoParser$AppInfo <init>
INFO: Kafka startTimeMs: 1668797383456
Nov 18, 2022 6:49:43 PM org.apache.kafka.clients.Metadata update
INFO: [Consumer clientId=consumer-1, groupId=null] Cluster ID: um6PTOvcReWy1lLFwXjvCg
Nov 18, 2022 6:49:43 PM org.apache.beam.sdk.io.kafka.KafkaUnboundedSource split
INFO: Partitions assigned to split 0 (total 1): beam-sdf-0
Nov 18, 2022 6:49:43 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read from unbounded Kafka/KafkaIO.Read.ReadFromKafkaViaSDF/Read(KafkaUnboundedSource)/StripIds as step s2
Nov 18, 2022 6:49:43 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Measure read time as step s3
Nov 18, 2022 6:49:43 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Map records to strings/Map as step s4
Nov 18, 2022 6:49:43 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Counting element as step s5
Nov 18, 2022 6:49:43 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.44.0-SNAPSHOT
Nov 18, 2022 6:49:44 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-18_10_49_43-17133369130198581335?project=apache-beam-testing
Nov 18, 2022 6:49:44 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-11-18_10_49_43-17133369130198581335
Nov 18, 2022 6:49:44 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel --region=us-central1 2022-11-18_10_49_43-17133369130198581335
Nov 18, 2022 6:49:55 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-11-18T18:49:55.145Z: 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: kafkaioit0testkafkaioreadsandwritescorrectlyinstreaming-je-jt7j. 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
Nov 18, 2022 6:50:09 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:08.421Z: Worker configuration: e2-standard-2 in us-central1-b.
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:10.616Z: Expanding SplittableParDo operations into optimizable parts.
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:10.656Z: Expanding CollectionToSingleton operations into optimizable parts.
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:10.715Z: Expanding CoGroupByKey operations into optimizable parts.
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:10.762Z: Expanding SplittableProcessKeyed operations into optimizable parts.
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:10.796Z: Expanding GroupByKey operations into streaming Read/Write steps
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:10.828Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:10.913Z: Fusing adjacent ParDo, Read, Write, and Flatten operations
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:10.950Z: Fusing consumer Read from unbounded Kafka/KafkaIO.Read.ReadFromKafkaViaSDF/ParDo(GenerateKafkaSourceDescriptor)/ParMultiDo(GenerateKafkaSourceDescriptor) into Read from unbounded Kafka/KafkaIO.Read.ReadFromKafkaViaSDF/Impulse
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:10.980Z: Fusing consumer Read-from-unbounded-Kafka-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbou/PairWithRestriction into Read from unbounded Kafka/KafkaIO.Read.ReadFromKafkaViaSDF/ParDo(GenerateKafkaSourceDescriptor)/ParMultiDo(GenerateKafkaSourceDescriptor)
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:11.019Z: Fusing consumer Read-from-unbounded-Kafka-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbou/SplitWithSizing into Read-from-unbounded-Kafka-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbou/PairWithRestriction
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:11.053Z: Fusing consumer Read from unbounded Kafka/KafkaIO.Read.ReadFromKafkaViaSDF/KafkaIO.ReadSourceDescriptors/MapElements/Map/ParMultiDo(Anonymous) into Read-from-unbounded-Kafka-KafkaIO-Read-ReadFromKafkaViaSDF-KafkaIO-ReadSourceDescriptors-ParDo-Unbou/ProcessElementAndRestrictionWithSizing
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:11.074Z: Fusing consumer Measure read time/ParMultiDo(TimeMonitor) into Read from unbounded Kafka/KafkaIO.Read.ReadFromKafkaViaSDF/KafkaIO.ReadSourceDescriptors/MapElements/Map/ParMultiDo(Anonymous)
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:11.105Z: Fusing consumer Map records to strings/Map/ParMultiDo(Anonymous) into Measure read time/ParMultiDo(TimeMonitor)
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:11.138Z: Fusing consumer Counting element/ParMultiDo(Counting) into Map records to strings/Map/ParMultiDo(Anonymous)
Nov 18, 2022 6:50:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:11.272Z: Running job using Streaming Engine
Nov 18, 2022 6:50:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:12.587Z: Starting 5 ****s in us-central1-b...
Nov 18, 2022 6:50:34 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:50:32.905Z: 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
Nov 18, 2022 6:51:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:51:05.847Z: Autoscaling: Raised the number of ****s to 4 so that the pipeline can catch up with its backlog and keep up with its input rate.
Nov 18, 2022 6:51:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:51:05.875Z: Autoscaling: Resized **** pool to 4, though goal was 5. This could be a quota issue.
Nov 18, 2022 6:51:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:51:16.176Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
Nov 18, 2022 6:52:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:52:12.091Z: All ****s have finished the startup processes and began to receive work requests.
Nov 18, 2022 6:52:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-18T18:52:14.146Z: Workers have started successfully.
Nov 18, 2022 7:04:44 PM org.apache.beam.runners.dataflow.DataflowPipelineJob waitUntilFinish
WARNING: No terminal state was returned within allotted timeout. State value RUNNING
Gradle Test Executor 1 finished executing tests.
> Task :sdks:java:io:kafka:integrationTest FAILED
org.apache.beam.sdk.io.kafka.KafkaIOIT > testKafkaIOReadsAndWritesCorrectlyInStreaming FAILED
java.lang.AssertionError: expected:<100000> but was:<167757>
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.kafka.KafkaIOIT.testKafkaIOReadsAndWritesCorrectlyInStreaming(KafkaIOIT.java:207)
1 test completed, 1 failed
Finished generating test XML results (0.039 secs) into: <https://ci-beam.apache.org/job/beam_PerformanceTests_Kafka_IO/ws/src/sdks/java/io/kafka/build/test-results/integrationTest>
Generating HTML test report...
Finished generating test html results (0.048 secs) into: <https://ci-beam.apache.org/job/beam_PerformanceTests_Kafka_IO/ws/src/sdks/java/io/kafka/build/reports/tests/integrationTest>
:sdks:java:io:kafka:integrationTest (Thread[Execution **** Thread 6,5,main]) completed. Took 20 mins 3.982 secs.
Resolve mutations for :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages (Thread[Execution **** Thread 5,5,main]) started.
Resolve mutations for :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages (Thread[Execution **** Thread 5,5,main]) completed. Took 0.0 secs.
:runners:google-cloud-dataflow-java:cleanUpDockerJavaImages (Thread[included builds,5,main]) started.
> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Custom actions are attached to task ':runners:google-cloud-dataflow-java:cleanUpDockerJavaImages'.
Caching disabled for task ':runners:google-cloud-dataflow-java:cleanUpDockerJavaImages' because:
Gradle would require more information to cache this task
Task ':runners:google-cloud-dataflow-java:cleanUpDockerJavaImages' is not up-to-date because:
Task has not declared any outputs despite executing actions.
Starting process 'command 'docker''. Working directory: <https://ci-beam.apache.org/job/beam_PerformanceTests_Kafka_IO/ws/src/runners/google-cloud-dataflow-java> Command: docker rmi --force us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221118184320
Successfully started process 'command 'docker''
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Starting process 'command 'gcloud''. Working directory: <https://ci-beam.apache.org/job/beam_PerformanceTests_Kafka_IO/ws/src/runners/google-cloud-dataflow-java> Command: gcloud --quiet container images untag us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221118184320
Successfully started process 'command 'gcloud''
WARNING: Successfully resolved tag to sha256, but it is recommended to use sha256 directly.
Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221118184320]
- referencing digest: [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:616d35278c65ef4b39a832ab06e151cb4ef80a638802653abdad6ef8a74eea78]
Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221118184320] (referencing [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:616d35278c65ef4b39a832ab06e151cb4ef80a638802653abdad6ef8a74eea78])].
Starting process 'command './scripts/cleanup_untagged_gcr_images.sh''. Working directory: <https://ci-beam.apache.org/job/beam_PerformanceTests_Kafka_IO/ws/src/runners/google-cloud-dataflow-java> Command: ./scripts/cleanup_untagged_gcr_images.sh us.gcr.io/apache-beam-testing/java-postcommit-it/java
Successfully started process 'command './scripts/cleanup_untagged_gcr_images.sh''
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:616d35278c65ef4b39a832ab06e151cb4ef80a638802653abdad6ef8a74eea78
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:616d35278c65ef4b39a832ab06e151cb4ef80a638802653abdad6ef8a74eea78
Deleted [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:616d35278c65ef4b39a832ab06e151cb4ef80a638802653abdad6ef8a74eea78].
:runners:google-cloud-dataflow-java:cleanUpDockerJavaImages (Thread[included builds,5,main]) completed. Took 6.058 secs.
Resolve mutations for :sdks:java:io:kafka:cleanUp (Thread[Execution **** Thread 6,5,main]) started.
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:sdks:java:io:kafka:cleanUp (Thread[Execution ****,5,main]) started.
> Task :sdks:java:io:kafka:cleanUp
Skipping task ':sdks:java:io:kafka:cleanUp' as it has no actions.
:sdks:java:io:kafka:cleanUp (Thread[Execution ****,5,main]) completed. Took 0.0 secs.
FAILURE: Build failed with an exception.
* What went wrong:
Execution failed for task ':sdks:java:io:kafka:integrationTest'.
> There were failing tests. See the report at: file://<https://ci-beam.apache.org/job/beam_PerformanceTests_Kafka_IO/ws/src/sdks/java/io/kafka/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
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 21m 53s
156 actionable tasks: 97 executed, 55 from cache, 4 up-to-date
Publishing build scan...
https://gradle.com/s/tk4qi2xqqhvp2
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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