See 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/4249/display/redirect?page=changes>

Changes:

[bulatkazan] [Website] update links with 404 status code

[Moritz Mack] Fix POM of beam-sdks-java-core (closes #24675)

[noreply] [Release Tasks Migration] - Git Tag Workflow (#24418)

[noreply] Change Point Analysis (#23931)

[noreply] change examples to licensed ones with mentions of autors and licenses

[noreply] Implement PubsubWriteSchemaTransformProvider (#24443)


------------------------------------------
[...truncated 438.37 KB...]
Successfully started process 'Gradle Test Executor 3'

Gradle Test Executor 3 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-2.45.0-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
    Dec 22, 2022 8:51:22 PM org.apache.beam.runners.dataflow.DataflowRunner 
validateSdkContainerImageOptions
    WARNING: Prefer --sdkContainerImage over deprecated legacy option 
--workerHarnessContainerImage.
    Dec 22, 2022 8:51:25 PM 
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
 create
    INFO: No stagingLocation provided, falling back to gcpTempLocation
    Dec 22, 2022 8:51:29 PM org.apache.beam.runners.dataflow.DataflowRunner 
fromOptions
    INFO: PipelineOptions.filesToStage was not specified. Defaulting to files 
from the classpath: will stage 398 files. Enable logging at DEBUG level to see 
which files will be staged.
    Dec 22, 2022 8:51:37 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Dec 22, 2022 8:51:37 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 22, 2022 8:51:40 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
    Dec 22, 2022 8:51:40 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Dec 22, 2022 8:51:40 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 22, 2022 8:51:41 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]])

    Dec 22, 2022 8:51:42 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@1513204713]. 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:107)
        at 
org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:49)
        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
    Dec 22, 2022 8:51:44 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Dec 22, 2022 8:51:44 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 22, 2022 8:51:44 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
    Dec 22, 2022 8:51:44 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Dec 22, 2022 8:51:44 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 22, 2022 8:51:44 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]])

    Dec 22, 2022 8:51:45 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@53672476]. 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:107)
        at 
org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:49)
        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
    Dec 22, 2022 8:51:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Dec 22, 2022 8:51:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 22, 2022 8:51:45 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
    Dec 22, 2022 8:51:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Dec 22, 2022 8:51:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 22, 2022 8:51:45 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]])

    Dec 22, 2022 8:51:46 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{}]])

    Dec 22, 2022 8:51:46 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
    Dec 22, 2022 8:51:47 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.
    Dec 22, 2022 8:51:59 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Uploading 399 files from PipelineOptions.filesToStage to staging 
location to prepare for execution.
    Dec 22, 2022 8:52:00 PM 
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes 
forFileToStage
    INFO: Staging custom dataflow-worker.jar as 
beam-runners-google-cloud-dataflow-java-legacy-worker-2.45.0-SNAPSHOT-PI8lk5Eg5wxqeTEJ69d-PU985eICLXTyseDLfV5SyCI.jar
    Dec 22, 2022 8:52:01 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test7171431146919652436.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-Sb1T75c_imTod5uwc9a8kEAQdta3AK1RFQ3eEG_5_Lw.jar
    Dec 22, 2022 8:52:02 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test1689682449210694802.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-hjO2drEQ4fuY73869LHwEjIp5y9pfG--4IJedlWDCwY.jar
    Dec 22, 2022 8:52:03 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Staging files complete: 397 files cached, 2 files newly uploaded in 3 
seconds
    Dec 22, 2022 8:52:03 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Staging portable pipeline proto to 
gs://temp-storage-for-perf-tests/loadtests/staging/
    Dec 22, 2022 8:52:03 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading <155656 bytes, hash 
fc9a145f61b4d45bf5342bda8d1656e0d1ed874d75b90e63aecdf3759b9703b4> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-_JoUX2G01Fv1NCvajRZW4NHth011uQ5jrs3zdZuXA7Q.pb
    Dec 22, 2022 8:52:12 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource) as step s1
    Dec 22, 2022 8:52:13 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
    Dec 22, 2022 8:52:13 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding ParDo(TimeMonitor) as step s3
    Dec 22, 2022 8:52:14 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Dataflow SDK version: 2.45.0-SNAPSHOT
    Dec 22, 2022 8:52:15 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-central1/2022-12-22_12_52_14-4690157857569764554?project=apache-beam-testing
    Dec 22, 2022 8:52:15 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Submitted job: 2022-12-22_12_52_14-4690157857569764554
    Dec 22, 2022 8:52:15 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 2022-12-22_12_52_14-4690157857569764554
    Dec 22, 2022 8:52:18 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-12-22T20:52:15.657Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Dec 22, 2022 8:52:30 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:52:28.987Z: Worker configuration: e2-standard-2 in 
us-central1-f.
    Dec 22, 2022 8:52:30 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:52:30.413Z: Expanding CoGroupByKey operations into 
optimizable parts.
    Dec 22, 2022 8:52:32 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:52:30.453Z: Expanding GroupByKey operations into 
optimizable parts.
    Dec 22, 2022 8:52:32 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:52:30.490Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
    Dec 22, 2022 8:52:32 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:52:30.566Z: Fusing adjacent ParDo, Read, Write, and 
Flatten operations
    Dec 22, 2022 8:52:32 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:52:30.599Z: Fusing consumer 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)
    Dec 22, 2022 8:52:32 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:52:30.633Z: Fusing consumer ParDo(TimeMonitor) into 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
    Dec 22, 2022 8:52:32 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:52:30.999Z: Executing operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Dec 22, 2022 8:52:32 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:52:31.084Z: Starting 5 workers in us-central1-f...
    Dec 22, 2022 8:52:41 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:52:40.403Z: Your project already contains 100 
Dataflow-created metric descriptors, so new user metrics of the form 
custom.googleapis.com/* will not be created. However, all user metrics are also 
available in the metric dataflow.googleapis.com/job/user_counter. If you rely 
on the custom metrics, you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
    Dec 22, 2022 8:53:20 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:53:19.632Z: Autoscaling: Raised the number of workers 
to 5 based on the rate of progress in the currently running stage(s).
    Dec 22, 2022 8:53:56 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:53:56.040Z: Workers have started successfully.
    Dec 22, 2022 8:54:16 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:54:15.276Z: All workers have finished the startup 
processes and began to receive work requests.
    Dec 22, 2022 8:54:31 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:54:30.366Z: Finished operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Dec 22, 2022 8:54:31 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:54:30.514Z: Cleaning up.
    Dec 22, 2022 8:54:31 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:54:30.653Z: Stopping worker pool...
    Dec 22, 2022 8:56:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:56:48.298Z: Autoscaling: Resized worker pool from 5 to 
0.
    Dec 22, 2022 8:56:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-12-22T20:56:48.336Z: Worker pool stopped.
    Dec 22, 2022 8:56:55 PM 
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2022-12-22_12_52_14-4690157857569764554 finished with status DONE.

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_OUT
    Load test results for test (ID): 122592aa-ef91-46a5-8544-13f197e275f9 and 
timestamp: 2022-12-22T20:56:55.224000000Z:
                     Metric:                    Value:
                 fields_read                 4375276.0
                   read_time                     7.485

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_ERROR
    Dec 22, 2022 8:56:55 PM 
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
    WARNING: Missing setting InfluxDB 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 (0.037 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 (0.047 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 5,5,main]) completed. Took 5 mins 48.455 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 11m 43s
171 actionable tasks: 110 executed, 59 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/xh2u6d4vk47si

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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