See 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/1650/display/redirect>

Changes:


------------------------------------------
[...truncated 372.75 KB...]
    INFO: BigQuery method is set to: DIRECT_READ
    Feb 25, 2021 12:46:20 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Feb 25, 2021 12:46:20 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
    Feb 25, 2021 12:46:20 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Feb 25, 2021 12:46:20 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Feb 25, 2021 12:46:20 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]])

    Feb 25, 2021 12:46:20 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_3/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output 
[PCollection@1634681245]. 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
    Feb 25, 2021 12:46:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Feb 25, 2021 12:46:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Feb 25, 2021 12:46:21 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
    Feb 25, 2021 12:46:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Feb 25, 2021 12:46:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Feb 25, 2021 12:46:21 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]])

    Feb 25, 2021 12:46:21 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_95/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output 
[PCollection@1759030043]. 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
    Feb 25, 2021 12:46:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Feb 25, 2021 12:46:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Feb 25, 2021 12:46:21 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
    Feb 25, 2021 12:46:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Feb 25, 2021 12:46:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Feb 25, 2021 12:46:21 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]])

    Feb 25, 2021 12:46:22 PM 
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{}]])

    Feb 25, 2021 12:46:22 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
    Feb 25, 2021 12:46:23 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.
    Feb 25, 2021 12:46:25 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Uploading 234 files from PipelineOptions.filesToStage to staging 
location to prepare for execution.
    Feb 25, 2021 12:46:25 PM 
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes 
forFileToStage
    INFO: Staging custom dataflow-worker.jar as 
beam-runners-google-cloud-dataflow-java-legacy-worker-2.29.0-SNAPSHOT-kK5p1eBR-Zg2ZKJNKP-mj4lCntlALVpZs6tqfp2aZT4.jar
    Feb 25, 2021 12:46:25 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test7902354148734408512.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-dV-LxiqlB___VgOeYkusW-O_eFZANLMbu2rwA_ggqbw.jar
    Feb 25, 2021 12:46:26 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Staging files complete: 233 files cached, 1 files newly uploaded in 0 
seconds
    Feb 25, 2021 12:46:26 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_229/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource) as step s1
    Feb 25, 2021 12:46:26 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_229/ParDo(RowMonitor) as step s2
    Feb 25, 2021 12:46:26 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamCalcRel_285/ParDo(Calc) as step s3
    Feb 25, 2021 12:46:26 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding ParDo(TimeMonitor) as step s4
    Feb 25, 2021 12:46:26 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Staging pipeline description to 
gs://temp-storage-for-perf-tests/loadtests/staging/
    Feb 25, 2021 12:46:26 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading <102229 bytes, hash 
d06f9f6c95180d691eaf41c34d5c99ae8064dad25891b20fb47ec28531591413> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-0G-fbJUYDWker0HDTVyZroBk2tJYkbIPtH7ChTFZFBM.pb
    Feb 25, 2021 12:46:26 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Dataflow SDK version: 2.29.0-SNAPSHOT
    Feb 25, 2021 12:46:28 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-central1/2021-02-25_04_46_26-16262350992796988828?project=apache-beam-testing
    Feb 25, 2021 12:46:28 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Submitted job: 2021-02-25_04_46_26-16262350992796988828
    Feb 25, 2021 12:46:28 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 2021-02-25_04_46_26-16262350992796988828
    Feb 25, 2021 12:46:28 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
    WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This 
is likely due to using an older version of Beam.
    Feb 25, 2021 12:46:28 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
    WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This 
is likely due to using an older version of Beam.
    Feb 25, 2021 12:46:30 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
    WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This 
is likely due to using an older version of Beam.
    Feb 25, 2021 12:46:30 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
    WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This 
is likely due to using an older version of Beam.
    Feb 25, 2021 12:46:33 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
    WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This 
is likely due to using an older version of Beam.
    Feb 25, 2021 12:46:33 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
    WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This 
is likely due to using an older version of Beam.
    Feb 25, 2021 12:46:33 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2021-02-25T12:46:30.209Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Feb 25, 2021 12:46:34 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
    WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This 
is likely due to using an older version of Beam.
    Feb 25, 2021 12:46:34 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
    WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This 
is likely due to using an older version of Beam.
    Feb 25, 2021 12:46:35 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
    WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This 
is likely due to using an older version of Beam.
    Feb 25, 2021 12:46:35 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
    WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This 
is likely due to using an older version of Beam.
    Feb 25, 2021 12:46:35 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:35.028Z: Worker configuration: n1-standard-1 in 
us-central1-f.
    Feb 25, 2021 12:46:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:35.794Z: Expanding CoGroupByKey operations into 
optimizable parts.
    Feb 25, 2021 12:46:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:35.859Z: Expanding GroupByKey operations into 
optimizable parts.
    Feb 25, 2021 12:46:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:35.913Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
    Feb 25, 2021 12:46:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:35.984Z: Fusing adjacent ParDo, Read, Write, and 
Flatten operations
    Feb 25, 2021 12:46:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:36.029Z: Fusing consumer 
BeamPushDownIOSourceRel_229/ParDo(RowMonitor) into 
BeamPushDownIOSourceRel_229/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)
    Feb 25, 2021 12:46:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:36.052Z: Fusing consumer BeamCalcRel_285/ParDo(Calc) 
into BeamPushDownIOSourceRel_229/ParDo(RowMonitor)
    Feb 25, 2021 12:46:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:36.084Z: Fusing consumer ParDo(TimeMonitor) into 
BeamCalcRel_285/ParDo(Calc)
    Feb 25, 2021 12:46:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:36.509Z: Executing operation 
BeamPushDownIOSourceRel_229/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
    Feb 25, 2021 12:46:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:36.577Z: Starting 5 workers in us-central1-f...
    Feb 25, 2021 12:46:49 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:46:49.025Z: Your project already contains 100 
Dataflow-created metric descriptors, so new user metrics of the form 
custom.googleapis.com/* will not be created. However, all user metrics are also 
available in the metric dataflow.googleapis.com/job/user_counter. If you rely 
on the custom metrics, you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
    Feb 25, 2021 12:47:13 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:47:13.178Z: Autoscaling: Raised the number of workers 
to 5 based on the rate of progress in the currently running stage(s).
    Feb 25, 2021 12:47:41 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:47:39.021Z: Workers have started successfully.
    Feb 25, 2021 12:47:41 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:47:39.054Z: Workers have started successfully.
    Feb 25, 2021 12:48:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:48:08.507Z: Finished operation 
BeamPushDownIOSourceRel_229/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
    Feb 25, 2021 12:48:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:48:08.680Z: Cleaning up.
    Feb 25, 2021 12:48:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:48:08.750Z: Stopping worker pool...
    Feb 25, 2021 12:48:59 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:48:58.913Z: Autoscaling: Resized worker pool from 5 to 
0.
    Feb 25, 2021 12:48:59 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-02-25T12:48:58.950Z: Worker pool stopped.
    Feb 25, 2021 12:49:06 PM 
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2021-02-25_04_46_26-16262350992796988828 finished with status 
DONE.

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_OUT
    Load test results for test (ID): 655992bb-6beb-4185-bee0-7efaeffb485c and 
timestamp: 2021-02-25T12:49:06.598000000Z:
                     Metric:                    Value:
                   read_time                    11.569
                 fields_read                 4375276.0

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_ERROR
    Feb 25, 2021 12:49:07 PM 
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
    WARNING: Missing property -- measurement/database. Metrics won't be 
published.

Gradle Test Executor 2 finished executing tests.

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

3 tests completed, 2 failed
Finished generating test XML results (0.023 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 2238 directories to track changes
Watching 2244 directories to track changes
Watching 2245 directories to track changes
:sdks:java:extensions:sql:perf-tests:integrationTest (Thread[Execution worker 
for ':',5,main]) completed. Took 2 mins 53.501 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/6.8/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 4m 49s
149 actionable tasks: 96 executed, 53 from cache
Watching 2245 directories to track changes

Publishing build scan...
https://gradle.com/s/thmdmq7jylabi

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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