See 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/3200/display/redirect?page=changes>

Changes:

[noreply] Revert "[BEAM-14084] iterable_input_value_types changed from list to


------------------------------------------
[...truncated 355.22 KB...]
    Mar 30, 2022 6:45:19 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Mar 30, 2022 6:45:19 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Mar 30, 2022 6:45:19 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
    Mar 30, 2022 6:45:19 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Mar 30, 2022 6:45:19 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Mar 30, 2022 6:45:19 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]])

    Mar 30, 2022 6:45:19 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@15076442]. 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
    Mar 30, 2022 6:45:20 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Mar 30, 2022 6:45:20 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Mar 30, 2022 6:45:20 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
    Mar 30, 2022 6:45:20 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Mar 30, 2022 6:45:20 AM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Mar 30, 2022 6:45:20 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]])

    Mar 30, 2022 6:45:20 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{}]])

    Mar 30, 2022 6:45:20 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
    Mar 30, 2022 6:45:20 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.
    Mar 30, 2022 6:45:30 AM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Uploading 372 files from PipelineOptions.filesToStage to staging 
location to prepare for execution.
    Mar 30, 2022 6:45:30 AM 
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes 
forFileToStage
    INFO: Staging custom dataflow-worker.jar as 
beam-runners-google-cloud-dataflow-java-legacy-worker-2.39.0-SNAPSHOT-Ka-XDRqoQEfIwiVX5Jfk_OqEIJKmGXhoxUNcjjurWFI.jar
    Mar 30, 2022 6:45:30 AM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test5953939315758563666.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-hkxRfg0zv-A8sEJMYiaOoA3B3t1DGgYK2ucBjD3lieA.jar
    Mar 30, 2022 6:45:31 AM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Staging files complete: 371 files cached, 1 files newly uploaded in 1 
seconds
    Mar 30, 2022 6:45:31 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Staging portable pipeline proto to 
gs://temp-storage-for-perf-tests/loadtests/staging/
    Mar 30, 2022 6:45:31 AM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading <146318 bytes, hash 
3cc456b92d7c9e5cf1561f6953f151ae1966d661dfdce3eae3d45e7c3f60a749> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-PMRWuS18nlzxVh9pU_FRrhlm1mHf3OPq49RefD9gp0k.pb
    Mar 30, 2022 6:45:34 AM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource) as step s1
    Mar 30, 2022 6:45:34 AM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
    Mar 30, 2022 6:45:34 AM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding ParDo(TimeMonitor) as step s3
    Mar 30, 2022 6:45:34 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Dataflow SDK version: 2.39.0-SNAPSHOT
    Mar 30, 2022 6:45:35 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-central1/2022-03-29_23_45_34-17522711908552214989?project=apache-beam-testing
    Mar 30, 2022 6:45:35 AM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Submitted job: 2022-03-29_23_45_34-17522711908552214989
    Mar 30, 2022 6:45:35 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 2022-03-29_23_45_34-17522711908552214989
    Mar 30, 2022 6:50:42 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-03-30T06:50:40.450Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Mar 30, 2022 6:50:46 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-03-30T06:50:44.718Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Mar 30, 2022 6:50:48 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-03-30T06:50:46.884Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Mar 30, 2022 6:50:48 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-03-30T06:50:47.902Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Mar 30, 2022 6:50:49 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:50:49.441Z: Worker configuration: e2-standard-2 in 
us-central1-b.
    Mar 30, 2022 6:50:52 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:50:50.073Z: Expanding CoGroupByKey operations into 
optimizable parts.
    Mar 30, 2022 6:50:52 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:50:50.111Z: Expanding GroupByKey operations into 
optimizable parts.
    Mar 30, 2022 6:50:52 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:50:50.137Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
    Mar 30, 2022 6:50:52 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:50:50.237Z: Fusing adjacent ParDo, Read, Write, and 
Flatten operations
    Mar 30, 2022 6:50:52 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:50:50.267Z: Fusing consumer 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)
    Mar 30, 2022 6:50:52 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:50:50.299Z: Fusing consumer ParDo(TimeMonitor) into 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
    Mar 30, 2022 6:50:52 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-03-30T06:50:50.349Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Mar 30, 2022 6:50:52 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-03-30T06:50:50.622Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Mar 30, 2022 6:50:52 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:50:50.689Z: Executing operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Mar 30, 2022 6:50:52 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:50:50.779Z: Starting 5 workers in us-central1-b...
    Mar 30, 2022 6:51:16 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:51:15.990Z: 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
    Mar 30, 2022 6:51:36 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:51:34.787Z: Autoscaling: Raised the number of workers 
to 5 based on the rate of progress in the currently running stage(s).
    Mar 30, 2022 6:52:04 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:52:03.189Z: Workers have started successfully.
    Mar 30, 2022 6:52:38 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    SEVERE: 2022-03-30T06:52:37.988Z: java.io.IOException: Failed to advance 
reader of source: name: 
"projects/apache-beam-testing/locations/us/sessions/CAISDHd2UUV0aHMzOWZHVBoCamQaAmly/streams/CAgaAmpkGgJpciDx7ejdBigC"

        at 
org.apache.beam.runners.dataflow.worker.WorkerCustomSources$BoundedReaderIterator.advance(WorkerCustomSources.java:625)
        at 
org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation$SynchronizedReaderIterator.advance(ReadOperation.java:419)
        at 
org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:205)
        at 
org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:163)
        at 
org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:83)
        at 
org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:420)
        at 
org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:389)
        at 
org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:314)
        at 
org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:140)
        at 
org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:120)
        at 
org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:107)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
    Caused by: com.google.api.gax.rpc.FailedPreconditionException: 
io.grpc.StatusRuntimeException: FAILED_PRECONDITION: there was an error 
operating on 
'projects/apache-beam-testing/locations/us/sessions/CAISDHd2UUV0aHMzOWZHVBoCamQaAmly/streams/CAgaAmpkGgJpciDx7ejdBigC':
 offset 71719 has not been allocated yet
        at 
com.google.api.gax.rpc.ApiExceptionFactory.createException(ApiExceptionFactory.java:57)
        at 
com.google.api.gax.grpc.GrpcApiExceptionFactory.create(GrpcApiExceptionFactory.java:72)
        at 
com.google.api.gax.grpc.GrpcApiExceptionFactory.create(GrpcApiExceptionFactory.java:60)
        at 
com.google.api.gax.grpc.ExceptionResponseObserver.onErrorImpl(ExceptionResponseObserver.java:82)
        at 
com.google.api.gax.rpc.StateCheckingResponseObserver.onError(StateCheckingResponseObserver.java:86)
        at 
com.google.api.gax.grpc.GrpcDirectStreamController$ResponseObserverAdapter.onClose(GrpcDirectStreamController.java:149)
        at 
io.grpc.internal.ClientCallImpl.closeObserver(ClientCallImpl.java:562)
        at io.grpc.internal.ClientCallImpl.access$300(ClientCallImpl.java:70)
        at 
io.grpc.internal.ClientCallImpl$ClientStreamListenerImpl$1StreamClosed.runInternal(ClientCallImpl.java:743)
        at 
io.grpc.internal.ClientCallImpl$ClientStreamListenerImpl$1StreamClosed.runInContext(ClientCallImpl.java:722)
        at io.grpc.internal.ContextRunnable.run(ContextRunnable.java:37)
        at 
io.grpc.internal.SerializingExecutor.run(SerializingExecutor.java:133)
        ... 3 more
        Suppressed: java.lang.RuntimeException: Asynchronous task failed
                at 
com.google.api.gax.rpc.ServerStreamIterator.hasNext(ServerStreamIterator.java:105)
                at 
org.apache.beam.sdk.io.gcp.bigquery.BigQueryStorageStreamSource$BigQueryStorageStreamReader.readNextRecord(BigQueryStorageStreamSource.java:211)
                at 
org.apache.beam.sdk.io.gcp.bigquery.BigQueryStorageStreamSource$BigQueryStorageStreamReader.advance(BigQueryStorageStreamSource.java:206)
                at 
org.apache.beam.runners.dataflow.worker.WorkerCustomSources$BoundedReaderIterator.advance(WorkerCustomSources.java:622)
                at 
org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation$SynchronizedReaderIterator.advance(ReadOperation.java:419)
                at 
org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:205)
                at 
org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:163)
                at 
org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:83)
                at 
org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:420)
                at 
org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:389)
                at 
org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:314)
                at 
org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:140)
                at 
org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:120)
                at 
org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:107)
                at java.util.concurrent.FutureTask.run(FutureTask.java:266)
                ... 3 more
    Caused by: io.grpc.StatusRuntimeException: FAILED_PRECONDITION: there was 
an error operating on 
'projects/apache-beam-testing/locations/us/sessions/CAISDHd2UUV0aHMzOWZHVBoCamQaAmly/streams/CAgaAmpkGgJpciDx7ejdBigC':
 offset 71719 has not been allocated yet
        at io.grpc.Status.asRuntimeException(Status.java:535)
        ... 10 more

    Mar 30, 2022 6:52:40 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:52:40.048Z: Finished operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Mar 30, 2022 6:52:40 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:52:40.222Z: Cleaning up.
    Mar 30, 2022 6:52:40 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:52:40.328Z: Stopping worker pool...
    Mar 30, 2022 6:54:58 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:54:57.844Z: Autoscaling: Resized worker pool from 5 to 
0.
    Mar 30, 2022 6:54:58 AM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-03-30T06:54:57.907Z: Worker pool stopped.
    Mar 30, 2022 6:55:23 AM 
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2022-03-29_23_45_34-17522711908552214989 finished with status 
DONE.

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_OUT
    Load test results for test (ID): bfa42cd9-f8e8-4010-8fc1-3ce435c0c67d and 
timestamp: 2022-03-30T06:55:24.036000000Z:
                     Metric:                    Value:
                   read_time                     9.775
                 fields_read                 4375276.0

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_ERROR
    Mar 30, 2022 6:55:24 AM 
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
    WARNING: Missing property -- measurement/database. Metrics won't be 
published.

Gradle Test Executor 14 finished executing tests.

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

3 tests completed, 2 failed
Finished generating test XML 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/test-results/integrationTest>
Generating HTML test report...
Finished generating test html results (0.004 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 4,5,main]) completed. Took 10 mins 15.17 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/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 11m 1s
165 actionable tasks: 103 executed, 60 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/juhc6pgiurfyk

Build cache (/home/jenkins/.gradle/caches/build-cache-1) removing files not 
accessed on or after Wed Mar 23 06:44:23 UTC 2022.
Invalidating in-memory cache of 
/home/jenkins/.gradle/caches/journal-1/file-access.bin
Build cache (/home/jenkins/.gradle/caches/build-cache-1) cleanup deleted 1556 
files/directories.
Build cache (/home/jenkins/.gradle/caches/build-cache-1) cleaned up in 8.958 
secs.
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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