See 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/3652/display/redirect?page=changes>

Changes:

[chamikaramj] Adds KV support for the Java RunInference transform.

[noreply] Replace distutils with supported modules. (#21968)

[noreply] Revert "Replace distutils with supported modules. " (#22453)

[noreply] Enable configuration to avoid successfully written Table Row 
propagation

[noreply] lint fixes for recent import (#22455)


------------------------------------------
[...truncated 365.23 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-2.41.0-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-simple/1.7.30/e606eac955f55ecf1d8edcccba04eb8ac98088dd/slf4j-simple-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: 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
    Jul 26, 2022 8:51:13 PM org.apache.beam.runners.dataflow.DataflowRunner 
validateSdkContainerImageOptions
    WARNING: Prefer --sdkContainerImage over deprecated legacy option 
--workerHarnessContainerImage.
    Jul 26, 2022 8:51:14 PM 
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
 create
    INFO: No stagingLocation provided, falling back to gcpTempLocation
    Jul 26, 2022 8:51:15 PM org.apache.beam.runners.dataflow.DataflowRunner 
fromOptions
    INFO: PipelineOptions.filesToStage was not specified. Defaulting to files 
from the classpath: will stage 389 files. Enable logging at DEBUG level to see 
which files will be staged.
    Jul 26, 2022 8:51:18 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Jul 26, 2022 8:51:18 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jul 26, 2022 8:51:19 PM 
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
    Jul 26, 2022 8:51:19 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Jul 26, 2022 8:51:19 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jul 26, 2022 8:51:20 PM 
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]])

    Jul 26, 2022 8:51:20 PM 
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@533769848]. 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
    Jul 26, 2022 8:51:20 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Jul 26, 2022 8:51:20 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jul 26, 2022 8:51:21 PM 
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
    Jul 26, 2022 8:51:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Jul 26, 2022 8:51:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jul 26, 2022 8:51:21 PM 
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]])

    Jul 26, 2022 8:51:21 PM 
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@1560160481]. 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
    Jul 26, 2022 8:51:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Jul 26, 2022 8:51:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jul 26, 2022 8:51:21 PM 
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
    Jul 26, 2022 8:51:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Jul 26, 2022 8:51:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Jul 26, 2022 8:51:21 PM 
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]])

    Jul 26, 2022 8:51:22 PM 
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{}]])

    Jul 26, 2022 8:51:22 PM 
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
    Jul 26, 2022 8:51:22 PM 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.
    Jul 26, 2022 8:51:28 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Uploading 390 files from PipelineOptions.filesToStage to staging 
location to prepare for execution.
    Jul 26, 2022 8:51:28 PM 
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes 
forFileToStage
    INFO: Staging custom dataflow-worker.jar as 
beam-runners-google-cloud-dataflow-java-legacy-worker-2.41.0-SNAPSHOT-m-BlCv_d8qFKcVsAHIj2PXDfa2fnf-clXRjyBD7CM-0.jar
    Jul 26, 2022 8:51:29 PM 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/io/google-cloud-platform/build/libs/beam-sdks-java-io-google-cloud-platform-2.41.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-google-cloud-platform-2.41.0-SNAPSHOT-EjwaHAqjj063oDHvA2JB-WrK7cSnZ4ToFT5FNxHQYb8.jar
    Jul 26, 2022 8:51:29 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test7874771845575844043.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-0lSEjrpNiAXYau4PIeMuB8pbeNnE_RtyxCavUcs_-D4.jar
    Jul 26, 2022 8:51:29 PM 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/python/build/libs/beam-sdks-java-extensions-python-2.41.0-SNAPSHOT-tests.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-python-2.41.0-SNAPSHOT-tests-Mna9NJP87d4ujxvN6W_yY1b8WrG1Oy-D4ydF6ocFyts.jar
    Jul 26, 2022 8:51:29 PM 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/io/google-cloud-platform/build/libs/beam-sdks-java-io-google-cloud-platform-2.41.0-SNAPSHOT-tests.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-google-cloud-platform-2.41.0-SNAPSHOT-tests-B3Doa9lWYVbpCtuYGSkfAwAnEuywl4Y7lEn7BMa6f7g.jar
    Jul 26, 2022 8:51:29 PM 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/python/build/libs/beam-sdks-java-extensions-python-2.41.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-python-2.41.0-SNAPSHOT-i6vGbMyO2Ydp9v7EKj7ziFbpwX8rIeg_p9xkxMR-Nkg.jar
    Jul 26, 2022 8:51:29 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test3489066393257488390.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-vXqXghmtZrMyALFDZ-nAOYNN2UotigxMxF5gsgzPbeA.jar
    Jul 26, 2022 8:51:29 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Staging files complete: 384 files cached, 6 files newly uploaded in 0 
seconds
    Jul 26, 2022 8:51:29 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Staging portable pipeline proto to 
gs://temp-storage-for-perf-tests/loadtests/staging/
    Jul 26, 2022 8:51:29 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading <152645 bytes, hash 
47627b449eee45304f9e67608891f3e351f28b73f0e77055d745848e7378988d> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-R2J7RJ7uRTBPnmdgiJHz41Hyi3Pw53BV10WEjnN4mI0.pb
    Jul 26, 2022 8:51:33 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource) as step s1
    Jul 26, 2022 8:51:33 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
    Jul 26, 2022 8:51:33 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding ParDo(TimeMonitor) as step s3
    Jul 26, 2022 8:51:33 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Dataflow SDK version: 2.41.0-SNAPSHOT
    Jul 26, 2022 8:51:34 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-central1/2022-07-26_13_51_33-12870694126234942340?project=apache-beam-testing
    Jul 26, 2022 8:51:34 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Submitted job: 2022-07-26_13_51_33-12870694126234942340
    Jul 26, 2022 8:51:34 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 2022-07-26_13_51_33-12870694126234942340
    Jul 26, 2022 8:51:35 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-07-26T20:51:34.652Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Jul 26, 2022 8:51:44 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:51:43.728Z: Worker configuration: e2-standard-2 in 
us-central1-a.
    Jul 26, 2022 8:51:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:51:44.700Z: Expanding CoGroupByKey operations into 
optimizable parts.
    Jul 26, 2022 8:51:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:51:44.728Z: Expanding GroupByKey operations into 
optimizable parts.
    Jul 26, 2022 8:51:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:51:44.748Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
    Jul 26, 2022 8:51:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:51:44.797Z: Fusing adjacent ParDo, Read, Write, and 
Flatten operations
    Jul 26, 2022 8:51:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:51:44.813Z: Fusing consumer 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)
    Jul 26, 2022 8:51:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:51:44.835Z: Fusing consumer ParDo(TimeMonitor) into 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
    Jul 26, 2022 8:51:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:51:45.083Z: Executing operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Jul 26, 2022 8:51:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:51:45.138Z: Starting 5 workers in us-central1-a...
    Jul 26, 2022 8:51:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:51:46.355Z: Your project already contains 100 
Dataflow-created metric descriptors, so new user metrics of the form 
custom.googleapis.com/* will not be created. However, all user metrics are also 
available in the metric dataflow.googleapis.com/job/user_counter. If you rely 
on the custom metrics, you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
    Jul 26, 2022 8:52:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:52:22.990Z: Autoscaling: Raised the number of workers 
to 5 based on the rate of progress in the currently running stage(s).
    Jul 26, 2022 8:52:54 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:52:53.241Z: Workers have started successfully.
    Jul 26, 2022 8:53:28 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:53:28.338Z: Finished operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Jul 26, 2022 8:53:28 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:53:28.439Z: Cleaning up.
    Jul 26, 2022 8:53:28 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:53:28.507Z: Stopping worker pool...
    Jul 26, 2022 8:54:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:54:09.153Z: Autoscaling: Resized worker pool from 5 to 
0.
    Jul 26, 2022 8:54:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-07-26T20:54:09.188Z: Worker pool stopped.
    Jul 26, 2022 8:54:15 PM 
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2022-07-26_13_51_33-12870694126234942340 finished with status 
DONE.

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_OUT
    Load test results for test (ID): c8158830-2793-42da-83fd-421e912af308 and 
timestamp: 2022-07-26T20:54:15.625000000Z:
                     Metric:                    Value:
                   read_time                     7.677
                 fields_read                 4375276.0

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_ERROR
    Jul 26, 2022 8:54:15 PM 
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
    WARNING: Missing property -- measurement/database. Metrics won't be 
published.

Gradle Test Executor 4 finished executing tests.

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

3 tests completed, 2 failed
Finished generating test XML 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/test-results/integrationTest>
Generating HTML test report...
Finished generating test html results (0.036 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 6,5,main]) completed. Took 3 mins 7.05 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 9m 51s
171 actionable tasks: 116 executed, 53 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/xjp4nij3unqzu

Stopped 3 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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