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From Apache Jenkins Server <jenk...@builds.apache.org>
Subject Build failed in Jenkins: beam_SQLBigQueryIO_Batch_Performance_Test_Java #1484
Date Fri, 15 Jan 2021 00:50:32 GMT
See <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/1484/display/redirect?page=changes>

Changes:

[sonam.ramchand] Enabled strict dependency

[sonam.ramchand] removed * depdendency

[sonam.ramchand] enabled strict dependency check to false

[sonam.ramchand] Fixed checker-qual issue

[sonam.ramchand] removed * dep

[sonam.ramchand] Fixed requested changes

[sonam.ramchand] autovalue_version variable added

[Kyle Weaver] Alphabetize dependency lists.

[tobiasz.kedzierski] Add gradle-command-action as submodule

[noreply] Make DataCatalogTableProvider.createDataCatalogClient public (#13752)

[noreply] [BEAM-11637] Use accumulators properly in BitAnd. (#13745)


------------------------------------------
[...truncated 400.19 KB...]

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-2.28.0-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: 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
    Jan 15, 2021 12:47:19 AM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
create
    INFO: No stagingLocation provided, falling back to gcpTempLocation
    Jan 15, 2021 12:47:19 AM org.apache.beam.runners.dataflow.DataflowRunner fromOptions
    INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath:
will stage 228 files. Enable logging at DEBUG level to see which files will be staged.
    Jan 15, 2021 12:47:21 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery method is set to: DIRECT_READ
    Jan 15, 2021 12:47:21 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jan 15, 2021 12:47:21 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
    Jan 15, 2021 12:47:21 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery method is set to: DIRECT_READ
    Jan 15, 2021 12:47:21 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jan 15, 2021 12:47:21 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]])

    Jan 15, 2021 12:47:22 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_3/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output
[PCollection@807479454]. 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:280)
        at org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:117)
        at org.apache.beam.sdk.runners.TransformHierarchy.finishSpecifyingInput(TransformHierarchy.java:153)
        at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:546)
        at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:498)
        at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:72)
        at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:42)
        at org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT.readUsingDirectReadMethod(BigQueryIOPushDownIT.java:162)

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDefaultMethod
STANDARD_ERROR
    Jan 15, 2021 12:47:22 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery method is set to: DEFAULT
    Jan 15, 2021 12:47:22 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jan 15, 2021 12:47:22 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
    Jan 15, 2021 12:47:22 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery method is set to: DEFAULT
    Jan 15, 2021 12:47:22 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jan 15, 2021 12:47:22 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]])

    Jan 15, 2021 12:47:23 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_95/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output
[PCollection@1659624560]. 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:280)
        at org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:117)
        at org.apache.beam.sdk.runners.TransformHierarchy.finishSpecifyingInput(TransformHierarchy.java:153)
        at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:546)
        at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:498)
        at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:72)
        at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:42)
        at org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT.readUsingDefaultMethod(BigQueryIOPushDownIT.java:176)

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown
STANDARD_ERROR
    Jan 15, 2021 12:47:23 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery method is set to: DIRECT_READ
    Jan 15, 2021 12:47:23 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jan 15, 2021 12:47:23 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
    Jan 15, 2021 12:47:23 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery method is set to: DIRECT_READ
    Jan 15, 2021 12:47:23 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
<init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jan 15, 2021 12:47:23 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]])

    Jan 15, 2021 12:47:23 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: BEAMPlan>
    BeamCalcRel(expr#0..3=[{inputs}], proj#0..3=[{exprs}])
      BeamPushDownIOSourceRel(table=[[beam, HACKER_NEWS]], usedFields=[[by, type, title, score]],
BigQueryFilter=[[supported{OR(=($8, 'story'), =($8, 'job'))>($5, 2)}, unsupported{}]])

    Jan 15, 2021 12:47:23 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
    Jan 15, 2021 12:47:24 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.
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements
    INFO: Uploading 229 files from PipelineOptions.filesToStage to staging location to prepare
for execution.
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes
forFileToStage
    INFO: Staging custom dataflow-worker.jar as beam-runners-google-cloud-dataflow-java-legacy-worker-2.28.0-SNAPSHOT-bSv2aVFlWa9IKbDZkwwxiECwGYpmCf-j0hDigz4zXIQ.jar
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage
    INFO: Uploading /tmp/test8398232749755085149.zip to gs://temp-storage-for-perf-tests/loadtests/staging/test-kWm-Zls04kNNJJl9t7u6JvOoaykP7_5pHfvRpLc0MNM.jar
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage
    INFO: Uploading <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/extensions/sql/build/libs/beam-sdks-java-extensions-sql-2.28.0-SNAPSHOT.jar>
to gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-sql-2.28.0-SNAPSHOT-9yWegVskf0j28YY7DZugts6IgZh85MzxChp-UZXJ18I.jar
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements
    INFO: Staging files complete: 227 files cached, 2 files newly uploaded in 0 seconds
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator
addStep
    INFO: Adding BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)
as step s1
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator
addStep
    INFO: Adding BeamPushDownIOSourceRel_229/ParDo(RowMonitor) as step s2
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator
addStep
    INFO: Adding BeamCalcRel_285/ParDo(Calc) as step s3
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator
addStep
    INFO: Adding ParDo(TimeMonitor) as step s4
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Staging pipeline description to gs://temp-storage-for-perf-tests/loadtests/staging/
    Jan 15, 2021 12:47:27 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage
    INFO: Uploading <100160 bytes, hash 6ae02410b8fcd7f8b5ddce70bc0aa6489fcbc6ff12ebcb5a83df9be6026db3b8>
to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-auAkELj81_i13c5wvAqmSJ_Lxv8S68tag9-b5gJts7g.pb
    Jan 15, 2021 12:47:28 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Dataflow SDK version: 2.28.0-SNAPSHOT
    Jan 15, 2021 12:47:31 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-14_16_47_28-12198024314432720699?project=apache-beam-testing
    Jan 15, 2021 12:47:31 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Submitted job: 2021-01-14_16_47_28-12198024314432720699
    Jan 15, 2021 12:47:31 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: To cancel the job using the 'gcloud' tool, run:
    > gcloud dataflow jobs --project=apache-beam-testing cancel --region=us-central1 2021-01-14_16_47_28-12198024314432720699
    Jan 15, 2021 12:47:31 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    WARNING: 2021-01-15T00:47:28.435Z: The requested max number of workers (5) is ignored
as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Jan 15, 2021 12:47:40 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:39.444Z: Worker configuration: n1-standard-1 in us-central1-f.
    Jan 15, 2021 12:47:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:40.166Z: Expanding CoGroupByKey operations into optimizable parts.
    Jan 15, 2021 12:47:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:40.330Z: Expanding GroupByKey operations into optimizable parts.
    Jan 15, 2021 12:47:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:40.369Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
    Jan 15, 2021 12:47:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:40.478Z: Fusing adjacent ParDo, Read, Write, and Flatten operations
    Jan 15, 2021 12:47:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:40.545Z: Fusing consumer BeamPushDownIOSourceRel_229/ParDo(RowMonitor)
into BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)
    Jan 15, 2021 12:47:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:40.583Z: Fusing consumer BeamCalcRel_285/ParDo(Calc) into BeamPushDownIOSourceRel_229/ParDo(RowMonitor)
    Jan 15, 2021 12:47:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:40.632Z: Fusing consumer ParDo(TimeMonitor) into BeamCalcRel_285/ParDo(Calc)
    Jan 15, 2021 12:47:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:41.134Z: Executing operation BeamPushDownIOSourceRel_229/Read Input
BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
    Jan 15, 2021 12:47:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:41.211Z: Starting 5 workers in us-central1-f...
    Jan 15, 2021 12:48:00 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:47:59.338Z: Your project already contains 100 Dataflow-created metric
descriptors, so new user metrics of the form custom.googleapis.com/* will not be created.
However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter.
If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
    Jan 15, 2021 12:48:10 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:48:09.695Z: Autoscaling: Raised the number of workers to 4 based on
the rate of progress in the currently running stage(s).
    Jan 15, 2021 12:48:10 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:48:09.733Z: Resized worker pool to 4, though goal was 5.  This could
be a quota issue.
    Jan 15, 2021 12:48:22 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:48:20.092Z: Autoscaling: Raised the number of workers to 5 based on
the rate of progress in the currently running stage(s).
    Jan 15, 2021 12:48:33 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:48:32.138Z: Workers have started successfully.
    Jan 15, 2021 12:48:33 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:48:32.185Z: Workers have started successfully.
    Jan 15, 2021 12:49:09 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:49:07.030Z: Finished operation BeamPushDownIOSourceRel_229/Read Input
BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
    Jan 15, 2021 12:49:09 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:49:07.181Z: Cleaning up.
    Jan 15, 2021 12:49:09 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:49:07.270Z: Stopping worker pool...
    Jan 15, 2021 12:50:03 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:50:01.912Z: Autoscaling: Resized worker pool from 5 to 0.
    Jan 15, 2021 12:50:03 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler
process
    INFO: 2021-01-15T00:50:01.988Z: Worker pool stopped.
    Jan 15, 2021 12:50:29 AM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2021-01-14_16_47_28-12198024314432720699 finished with status DONE.

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown
STANDARD_OUT
    Load test results for test (ID): c45a4203-27d8-4fd1-ad0e-9c185ea0042c and timestamp: 2021-01-15T00:50:29.275000000Z:
                     Metric:                    Value:
                   read_time                    14.177
                 fields_read                 4375276.0

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown
STANDARD_ERROR
    Jan 15, 2021 12:50:29 AM org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
    WARNING: Missing property -- measurement/database. Metrics won't be published.

Gradle Test Executor 5 finished executing tests.

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

3 tests completed, 2 failed
Finished generating test XML results (0.024 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 (0.03 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>
Watching 2234 directories to track changes
Watching 2240 directories to track changes
Watching 2241 directories to track changes
:sdks:java:extensions:sql:perf-tests:integrationTest (Thread[Execution worker for ':' Thread
2,5,main]) completed. Took 3 mins 14.969 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 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/6.7.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 6m 14s
145 actionable tasks: 100 executed, 45 from cache
Watching 2241 directories to track changes

Publishing build scan...
https://gradle.com/s/v7w542iuhflaw

Stopped 4 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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