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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/03/10 00:56:02 UTC

Build failed in Jenkins: beam_SQLBigQueryIO_Batch_Performance_Test_Java #3119

See <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/3119/display/redirect?page=changes>

Changes:

[hengfeng] [BEAM-12164]: display the metadata table's name on UI

[noreply] Merge pull request #16844 from [BEAM-12164]: allow for nanosecond

[noreply] [BEAM-13904] Increase unit testing in the reflectx package (#17024)


------------------------------------------
[...truncated 355.14 KB...]
> Task :sdks:java:extensions:sql:perf-tests:integrationTest
Custom actions are attached to task ':sdks:java:extensions:sql:perf-tests:integrationTest'.
Build cache key for task ':sdks:java:extensions:sql:perf-tests:integrationTest' is 8ca33acd61bf1c717a72ab0c57d74e70
Task ':sdks:java:extensions:sql:perf-tests:integrationTest' is not up-to-date because:
  Task.upToDateWhen is false.
Starting process 'Gradle Test Executor 3'. Working directory: <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/extensions/sql/perf-tests> Command: /usr/lib/jvm/java-8-openjdk-amd64/bin/java -DbeamTestPipelineOptions=["--project=apache-beam-testing","--tempLocation=gs://temp-storage-for-perf-tests/loadtests","--tempRoot=gs://temp-storage-for-perf-tests/loadtests","--metricsBigQueryDataset=beam_performance","--metricsBigQueryTable=sql_bqio_read_java_batch","--runner=DataflowRunner","--maxNumWorkers=5","--numWorkers=5","--autoscalingAlgorithm=NONE","--workerHarnessContainerImage=","--dataflowWorkerJar=<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/runners/google-cloud-dataflow-java/worker/legacy-worker/build/libs/beam-runners-google-cloud-dataflow-java-legacy-worker-2.38.0-SNAPSHOT.jar","--region=us-central1"]> -Djava.security.manager=worker.org.gradle.process.internal.worker.child.BootstrapSecurityManager -Dorg.gradle.internal.worker.tmpdir=<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/extensions/sql/perf-tests/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/7.3.2/workerMain/gradle-worker.jar worker.org.gradle.process.internal.worker.GradleWorkerMain 'Gradle Test Executor 3'
Successfully started process 'Gradle Test Executor 3'

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT STANDARD_ERROR
    SLF4J: Class path contains multiple SLF4J bindings.
    SLF4J: Found binding in [jar:<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/runners/google-cloud-dataflow-java/worker/legacy-worker/build/libs/beam-runners-google-cloud-dataflow-java-legacy-worker-2.38.0-SNAPSHOT.jar!/org/slf4j/impl/StaticLoggerBinder.class]>
    SLF4J: Found binding in [jar:file:/home/jenkins/.gradle/caches/modules-2/files-2.1/org.slf4j/slf4j-jdk14/1.7.30/d35953dd2fe54ebe39fdf18cfd82fe6eb35b25ed/slf4j-jdk14-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
    SLF4J: Found binding in [jar:file:/home/jenkins/.gradle/caches/modules-2/files-2.1/org.slf4j/slf4j-log4j12/1.7.30/c21f55139d8141d2231214fb1feaf50a1edca95e/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
    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: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
    SLF4J: Actual binding is of type [org.slf4j.impl.JDK14LoggerFactory]

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethod STANDARD_ERROR
    Mar 10, 2022 12:50:57 AM org.apache.beam.runners.dataflow.DataflowRunner validateSdkContainerImageOptions
    WARNING: Prefer --sdkContainerImage over deprecated legacy option --workerHarnessContainerImage.
    Mar 10, 2022 12:50:58 AM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create
    INFO: No stagingLocation provided, falling back to gcpTempLocation
    Mar 10, 2022 12:50:59 AM org.apache.beam.runners.dataflow.DataflowRunner fromOptions
    INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 371 files. Enable logging at DEBUG level to see which files will be staged.
    Mar 10, 2022 12:51:02 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Mar 10, 2022 12:51:02 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Mar 10, 2022 12:51:03 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: SQL:
    SELECT `HACKER_NEWS`.`by` AS `author`, `HACKER_NEWS`.`type`, `HACKER_NEWS`.`title`, `HACKER_NEWS`.`score`
    FROM `beam`.`HACKER_NEWS` AS `HACKER_NEWS`
    WHERE (`HACKER_NEWS`.`type` = 'story' OR `HACKER_NEWS`.`type` = 'job') AND `HACKER_NEWS`.`score` > 2
    Mar 10, 2022 12:51:03 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Mar 10, 2022 12:51:03 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Mar 10, 2022 12:51:03 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: SQLPlan>
    LogicalProject(author=[$4], type=[$8], title=[$0], score=[$5])
      LogicalFilter(condition=[AND(OR(=($8, 'story'), =($8, 'job')), >($5, 2))])
        BeamIOSourceRel(table=[[beam, HACKER_NEWS]])

    Mar 10, 2022 12:51:03 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: BEAMPlan>
    BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($t8, $t14)], expr#16=['job':VARCHAR], expr#17=[=($t8, $t16)], expr#18=[OR($t15, $t17)], expr#19=[2], expr#20=[>($t5, $t19)], expr#21=[AND($t18, $t20)], author=[$t4], type=[$t8], title=[$t0], score=[$t5], $condition=[$t21])
      BeamIOSourceRel(table=[[beam, HACKER_NEWS]])


org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethod FAILED
    java.lang.IllegalStateException: Unable to return a default Coder for BeamIOSourceRel_4/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output [PCollection@1293369737]. Correct one of the following root causes:
      No Coder has been manually specified;  you may do so using .setCoder().
      Inferring a Coder from the CoderRegistry failed: Cannot provide a coder for a Beam Row. Please provide a schema instead using PCollection.setRowSchema.
      Using the default output Coder from the producing PTransform failed: PTransform.getOutputCoder called.
        at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:507)
        at org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:286)
        at org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:117)
        at org.apache.beam.sdk.runners.TransformHierarchy.finishSpecifyingInput(TransformHierarchy.java:154)
        at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:547)
        at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:499)
        at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:106)
        at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:48)
        at org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT.readUsingDirectReadMethod(BigQueryIOPushDownIT.java:150)

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDefaultMethod STANDARD_ERROR
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: SQL:
    SELECT `HACKER_NEWS`.`by` AS `author`, `HACKER_NEWS`.`type`, `HACKER_NEWS`.`title`, `HACKER_NEWS`.`score`
    FROM `beam`.`HACKER_NEWS` AS `HACKER_NEWS`
    WHERE (`HACKER_NEWS`.`type` = 'story' OR `HACKER_NEWS`.`type` = 'job') AND `HACKER_NEWS`.`score` > 2
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: SQLPlan>
    LogicalProject(author=[$4], type=[$8], title=[$0], score=[$5])
      LogicalFilter(condition=[AND(OR(=($8, 'story'), =($8, 'job')), >($5, 2))])
        BeamIOSourceRel(table=[[beam, HACKER_NEWS]])

    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: BEAMPlan>
    BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($t8, $t14)], expr#16=['job':VARCHAR], expr#17=[=($t8, $t16)], expr#18=[OR($t15, $t17)], expr#19=[2], expr#20=[>($t5, $t19)], expr#21=[AND($t18, $t20)], author=[$t4], type=[$t8], title=[$t0], score=[$t5], $condition=[$t21])
      BeamIOSourceRel(table=[[beam, HACKER_NEWS]])


org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDefaultMethod FAILED
    java.lang.IllegalStateException: Unable to return a default Coder for BeamIOSourceRel_118/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output [PCollection@15076442]. Correct one of the following root causes:
      No Coder has been manually specified;  you may do so using .setCoder().
      Inferring a Coder from the CoderRegistry failed: Cannot provide a coder for a Beam Row. Please provide a schema instead using PCollection.setRowSchema.
      Using the default output Coder from the producing PTransform failed: PTransform.getOutputCoder called.
        at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:507)
        at org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:286)
        at org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:117)
        at org.apache.beam.sdk.runners.TransformHierarchy.finishSpecifyingInput(TransformHierarchy.java:154)
        at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:547)
        at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:499)
        at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:106)
        at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:48)
        at org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT.readUsingDefaultMethod(BigQueryIOPushDownIT.java:163)

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_ERROR
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: SQL:
    SELECT `HACKER_NEWS`.`by` AS `author`, `HACKER_NEWS`.`type`, `HACKER_NEWS`.`title`, `HACKER_NEWS`.`score`
    FROM `beam`.`HACKER_NEWS` AS `HACKER_NEWS`
    WHERE (`HACKER_NEWS`.`type` = 'story' OR `HACKER_NEWS`.`type` = 'job') AND `HACKER_NEWS`.`score` > 2
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Mar 10, 2022 12:51:04 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: SQLPlan>
    LogicalProject(author=[$4], type=[$8], title=[$0], score=[$5])
      LogicalFilter(condition=[AND(OR(=($8, 'story'), =($8, 'job')), >($5, 2))])
        BeamIOSourceRel(table=[[beam, HACKER_NEWS]])

    Mar 10, 2022 12:51:05 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: BEAMPlan>
    BeamPushDownIOSourceRel(table=[[beam, HACKER_NEWS]], usedFields=[[by, type, title, score]], BigQueryFilter=[[supported{OR(=($8, 'story'), =($8, 'job'))>($5, 2)}, unsupported{}]])

    Mar 10, 2022 12:51:05 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable buildIOReader
    INFO: Pushing down the following filter: (type = 'story' OR type = 'job') AND score > 2
    Mar 10, 2022 12:51:05 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services.
    Mar 10, 2022 12:51:10 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements
    INFO: Uploading 372 files from PipelineOptions.filesToStage to staging location to prepare for execution.
    Mar 10, 2022 12:51:10 AM org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes forFileToStage
    INFO: Staging custom dataflow-worker.jar as beam-runners-google-cloud-dataflow-java-legacy-worker-2.38.0-SNAPSHOT-xV1aRoDJQlfeDUqWr6hu5a45VhrhjeNd1H_B3k29wbY.jar
    Mar 10, 2022 12:51:10 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage
    INFO: Uploading /tmp/test4210298638008994578.zip to gs://temp-storage-for-perf-tests/loadtests/staging/test-yqLs0MIFKBGvgDbozPYxuBIAa4JSVb0GIoyvqO_Jy2o.jar
    Mar 10, 2022 12:51:10 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements
    INFO: Staging files complete: 371 files cached, 1 files newly uploaded in 0 seconds
    Mar 10, 2022 12:51:10 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/
    Mar 10, 2022 12:51:11 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage
    INFO: Uploading <145669 bytes, hash c6cc6a9bdbf5163ab56bc443dd3cccb114d33679c1071f22f5b270bfe460bff4> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-xsxqm9v1Fjq1a8RD3TzMsRTTNnnBBx8i9bJwv-Rgv_Q.pb
    Mar 10, 2022 12:51:14 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) as step s1
    Mar 10, 2022 12:51:14 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
    Mar 10, 2022 12:51:14 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding ParDo(TimeMonitor) as step s3
    Mar 10, 2022 12:51:14 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Dataflow SDK version: 2.38.0-SNAPSHOT
    Mar 10, 2022 12:51:15 AM 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-central1/2022-03-09_16_51_14-17299658191102058301?project=apache-beam-testing
    Mar 10, 2022 12:51:15 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Submitted job: 2022-03-09_16_51_14-17299658191102058301
    Mar 10, 2022 12:51:15 AM 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 2022-03-09_16_51_14-17299658191102058301
    Mar 10, 2022 12:51:25 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-03-10T00:51:18.950Z: The requested max number of workers (5) is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Mar 10, 2022 12:51:37 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:51:35.456Z: Worker configuration: e2-standard-2 in us-central1-a.
    Mar 10, 2022 12:51:38 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:51:37.363Z: Expanding CoGroupByKey operations into optimizable parts.
    Mar 10, 2022 12:51:38 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:51:37.406Z: Expanding GroupByKey operations into optimizable parts.
    Mar 10, 2022 12:51:38 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:51:37.434Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
    Mar 10, 2022 12:51:38 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:51:37.511Z: Fusing adjacent ParDo, Read, Write, and Flatten operations
    Mar 10, 2022 12:51:38 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:51:37.550Z: Fusing consumer BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)
    Mar 10, 2022 12:51:38 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:51:37.576Z: Fusing consumer ParDo(TimeMonitor) into BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
    Mar 10, 2022 12:51:38 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:51:37.975Z: Executing operation BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Mar 10, 2022 12:51:38 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:51:38.095Z: Starting 5 workers in us-central1-a...
    Mar 10, 2022 12:51:45 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:51:42.939Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
    Mar 10, 2022 12:52:25 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:52:24.484Z: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s).
    Mar 10, 2022 12:52:49 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:52:48.751Z: Workers have started successfully.
    Mar 10, 2022 12:52:49 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:52:48.783Z: Workers have started successfully.
    Mar 10, 2022 12:53:20 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:53:18.868Z: Finished operation BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Mar 10, 2022 12:53:20 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:53:19.048Z: Cleaning up.
    Mar 10, 2022 12:53:20 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:53:19.198Z: Stopping worker pool...
    Mar 10, 2022 12:55:54 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:55:52.424Z: Autoscaling: Resized worker pool from 5 to 0.
    Mar 10, 2022 12:55:54 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-10T00:55:52.469Z: Worker pool stopped.
    Mar 10, 2022 12:55:59 AM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2022-03-09_16_51_14-17299658191102058301 finished with status DONE.

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_OUT
    Load test results for test (ID): b52f1f30-79c4-4e8e-a691-4ee6e8e4e17a and timestamp: 2022-03-10T00:55:59.659000000Z:
                     Metric:                    Value:
                 fields_read                 4375276.0
                   read_time                     6.918

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_ERROR
    Mar 10, 2022 12:55:59 AM org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
    WARNING: Missing property -- measurement/database. Metrics won't be published.

Gradle Test Executor 3 finished executing tests.

> Task :sdks:java:extensions:sql:perf-tests:integrationTest FAILED

3 tests completed, 2 failed
Finished generating test XML results (0.026 secs) into: <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/extensions/sql/perf-tests/build/test-results/integrationTest>
Generating HTML test report...
Finished generating test html results (0.029 secs) into: <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/extensions/sql/perf-tests/build/reports/tests/integrationTest>
:sdks:java:extensions:sql:perf-tests:integrationTest (Thread[Execution worker for ':' Thread 9,5,main]) completed. Took 5 mins 5.94 secs.

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':sdks:java:extensions:sql:perf-tests:integrationTest'.
> There were failing tests. See the report at: file://<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/extensions/sql/perf-tests/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.
> 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 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/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 6m 5s
165 actionable tasks: 107 executed, 56 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/6p47huknjfnsi

Stopped 2 worker 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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