See 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/4130/display/redirect?page=changes>

Changes:

[bulat.safiullin] [Website] change share-your-story link, add text to 
ADD_CASE_STUDY.md,

[mr.malarg] pg_23865 fix selected example at list

[leha] Expand all categories that contain a selected example (#23865)

[noreply] fixed typo

[noreply] [#24266] Update release candidate script to use -PisRelease (#24269)

[noreply] Golang SpannerIO Implementation (#23285)

[noreply] Add rootCaCertificate option to SplunkIO (#24229)

[noreply] [Playground] Remove example bucket (#24198)

[noreply] Extract Go and Python Beam symbols for Playground (#23378)


------------------------------------------
[...truncated 429.71 KB...]
Successfully started process 'Gradle Test Executor 30'

Gradle Test Executor 30 started executing tests.

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

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-2.44.0-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-reload4j/1.7.36/db708f7d959dee1857ac524636e85ecf2e1781c1/slf4j-reload4j-1.7.36.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
    Nov 23, 2022 2:49:17 AM org.apache.beam.runners.dataflow.DataflowRunner 
validateSdkContainerImageOptions
    WARNING: Prefer --sdkContainerImage over deprecated legacy option 
--workerHarnessContainerImage.
    Nov 23, 2022 2:49:21 AM 
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
 create
    INFO: No stagingLocation provided, falling back to gcpTempLocation
    Nov 23, 2022 2:49:23 AM org.apache.beam.runners.dataflow.DataflowRunner 
fromOptions
    INFO: PipelineOptions.filesToStage was not specified. Defaulting to files 
from the classpath: will stage 397 files. Enable logging at DEBUG level to see 
which files will be staged.
    Nov 23, 2022 2:49:31 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Nov 23, 2022 2:49:31 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 23, 2022 2:49:34 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
    Nov 23, 2022 2:49:34 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Nov 23, 2022 2:49:34 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 23, 2022 2:49:35 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]])

    Nov 23, 2022 2:49:37 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@1767966148]. 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.sdk.util.Preconditions.checkStateNotNull(Preconditions.java:471)
        at org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:284)
        at 
org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:115)
        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:153)

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDefaultMethod STANDARD_ERROR
    Nov 23, 2022 2:49:38 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Nov 23, 2022 2:49:38 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 23, 2022 2:49:38 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
    Nov 23, 2022 2:49:38 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Nov 23, 2022 2:49:38 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 23, 2022 2:49:38 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]])

    Nov 23, 2022 2:49:39 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@2060069278]. 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.sdk.util.Preconditions.checkStateNotNull(Preconditions.java:471)
        at org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:284)
        at 
org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:115)
        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:168)

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_ERROR
    Nov 23, 2022 2:49:39 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Nov 23, 2022 2:49:39 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 23, 2022 2:49:39 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
    Nov 23, 2022 2:49:39 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Nov 23, 2022 2:49:39 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 23, 2022 2:49:40 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]])

    Nov 23, 2022 2:49:40 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{}]])

    Nov 23, 2022 2:49:40 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
    Nov 23, 2022 2:49:41 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.
    Nov 23, 2022 2:49:55 AM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Uploading 398 files from PipelineOptions.filesToStage to staging 
location to prepare for execution.
    Nov 23, 2022 2:49:55 AM 
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes 
forFileToStage
    INFO: Staging custom dataflow-worker.jar as 
beam-runners-google-cloud-dataflow-java-legacy-worker-2.44.0-SNAPSHOT-sqK5ZIBDuufDKf3k3RD3W3dJh4-3cX-eGaeTr7BOLr8.jar
    Nov 23, 2022 2:49:56 AM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test9098265522270077821.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-litk_JQMEPx1ZIT9TDQ4TN3FFDSbrNatxrjBGkPO8qA.jar
    Nov 23, 2022 2:49:57 AM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test7398164995531384297.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-rdhwRQDFGd3NLjFoJxbQoZXIEPBX5UDGP-NCVxqEnGI.jar
    Nov 23, 2022 2:49:58 AM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Staging files complete: 396 files cached, 2 files newly uploaded in 3 
seconds
    Nov 23, 2022 2:49:58 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Staging portable pipeline proto to 
gs://temp-storage-for-perf-tests/loadtests/staging/
    Nov 23, 2022 2:49:58 AM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading <155299 bytes, hash 
80a8629c27947a0d648c7aba90f4d63c387cbae3ffd1604652ae354d5821ea54> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-gKhinCeUeg1kjHq6kPTWPDh8uuP_0WBGUq41TVgh6lQ.pb
    Nov 23, 2022 2:50:07 AM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource) as step s1
    Nov 23, 2022 2:50:08 AM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
    Nov 23, 2022 2:50:08 AM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding ParDo(TimeMonitor) as step s3
    Nov 23, 2022 2:50:08 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Dataflow SDK version: 2.44.0-SNAPSHOT
    Nov 23, 2022 2:50:09 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-central1/2022-11-22_18_50_08-4560033347207209672?project=apache-beam-testing
    Nov 23, 2022 2:50:09 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Submitted job: 2022-11-22_18_50_08-4560033347207209672
    Nov 23, 2022 2:50:09 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 2022-11-22_18_50_08-4560033347207209672
    Nov 23, 2022 2:50:12 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-11-23T02:50:09.829Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Nov 23, 2022 2:50:22 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:50:21.649Z: Worker configuration: e2-standard-2 in 
us-central1-b.
    Nov 23, 2022 2:50:26 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:50:24.691Z: Expanding CoGroupByKey operations into 
optimizable parts.
    Nov 23, 2022 2:50:26 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:50:24.719Z: Expanding GroupByKey operations into 
optimizable parts.
    Nov 23, 2022 2:50:26 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:50:24.752Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
    Nov 23, 2022 2:50:26 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:50:24.826Z: Fusing adjacent ParDo, Read, Write, and 
Flatten operations
    Nov 23, 2022 2:50:26 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:50:24.852Z: Fusing consumer 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)
    Nov 23, 2022 2:50:26 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:50:24.887Z: Fusing consumer ParDo(TimeMonitor) into 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
    Nov 23, 2022 2:50:26 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:50:25.233Z: Executing operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Nov 23, 2022 2:50:26 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:50:25.302Z: Starting 5 workers in us-central1-b...
    Nov 23, 2022 2:50:30 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:50:29.867Z: Your project already contains 100 
Dataflow-created metric descriptors, so new user metrics of the form 
custom.googleapis.com/* will not be created. However, all user metrics are also 
available in the metric dataflow.googleapis.com/job/user_counter. If you rely 
on the custom metrics, you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
    Nov 23, 2022 2:51:08 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:51:08.069Z: Autoscaling: Raised the number of workers 
to 5 based on the rate of progress in the currently running stage(s).
    Nov 23, 2022 2:51:41 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:51:39.799Z: Workers have started successfully.
    Nov 23, 2022 2:52:01 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:51:59.368Z: All workers have finished the startup 
processes and began to receive work requests.
    Nov 23, 2022 2:52:16 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:52:15.248Z: Finished operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Nov 23, 2022 2:52:16 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:52:15.378Z: Cleaning up.
    Nov 23, 2022 2:52:16 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:52:15.449Z: Stopping worker pool...
    Nov 23, 2022 2:54:31 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:54:31.595Z: Autoscaling: Resized worker pool from 5 to 
0.
    Nov 23, 2022 2:54:31 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-11-23T02:54:31.643Z: Worker pool stopped.
    Nov 23, 2022 2:54:38 AM 
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2022-11-22_18_50_08-4560033347207209672 finished with status DONE.

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_OUT
    Load test results for test (ID): 0d92c43c-54fd-4737-aedd-f430f53751ac and 
timestamp: 2022-11-23T02:54:38.392000000Z:
                     Metric:                    Value:
                   read_time                      7.11
                 fields_read                 4375276.0

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_ERROR
    Nov 23, 2022 2:54:38 AM 
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
    WARNING: Missing setting InfluxDB database. Metrics won't be published.

Gradle Test Executor 30 finished executing tests.

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

3 tests completed, 2 failed
Finished generating test XML results (0.007 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 (0.005 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 
Thread 4,5,main]) completed. Took 5 mins 32.55 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.

* 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 7m 21s
171 actionable tasks: 107 executed, 62 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/fxyvqionhnto4

Stopped 1 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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