See
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/2992/display/redirect>
Changes:
------------------------------------------
[...truncated 387.12 KB...]
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
Feb 03, 2022 3:34:01 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Feb 03, 2022 3:34:01 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 03, 2022 3:34:01 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 03, 2022 3:34:01 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Feb 03, 2022 3:34:01 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 03, 2022 3:34:01 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Feb 03, 2022 3:34:02 PM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@1216741689]. 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
Feb 03, 2022 3:34:02 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 03, 2022 3:34:02 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 03, 2022 3:34:02 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 03, 2022 3:34:02 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 03, 2022 3:34:02 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 03, 2022 3:34:02 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 03, 2022 3:34:04 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'))>($5, 2)}, unsupported{}]])
Feb 03, 2022 3:34:04 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
buildIOReader
INFO: Pushing down the following filter: (type = 'story' OR type = 'job')
AND score > 2
Feb 03, 2022 3:34:04 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Feb 03, 2022 3:34:16 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 362 files from PipelineOptions.filesToStage to staging
location to prepare for execution.
Feb 03, 2022 3:34:16 PM
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes
forFileToStage
INFO: Staging custom dataflow-worker.jar as
beam-runners-google-cloud-dataflow-java-legacy-worker-2.37.0-SNAPSHOT-pnoPFzsrg0uK36iFTKbiIklaVbWhTEnaObbCgM0jHcI.jar
Feb 03, 2022 3:34:17 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/mongodb/build/libs/beam-sdks-java-io-mongodb-2.37.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-mongodb-2.37.0-SNAPSHOT-vPEGqxI9MKGLtuCuQz0HzI-33fdG7YkDTKUwhwE408c.jar
Feb 03, 2022 3:34:17 PM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading /tmp/test2135603203249865324.zip to
gs://temp-storage-for-perf-tests/loadtests/staging/test-RFqKXeoPB4RnTeKFmY3hNAZSjRLktwtCcW5muqqEyVE.jar
Feb 03, 2022 3:34:18 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/join-library/build/libs/beam-sdks-java-extensions-join-library-2.37.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-join-library-2.37.0-SNAPSHOT-xz-aSlhizJi8jigGo3amZ2g_MkglE3dBulicsi2UX5U.jar
Feb 03, 2022 3:34:21 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/sql/udf/build/libs/beam-sdks-java-extensions-sql-udf-2.37.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-sql-udf-2.37.0-SNAPSHOT-MlQQAS1Je1cH4lXtIOKM3zL6o97S5F7sJQ3zUailw08.jar
Feb 03, 2022 3:34:23 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 358 files cached, 4 files newly uploaded in 7
seconds
Feb 03, 2022 3:34:24 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to
gs://temp-storage-for-perf-tests/loadtests/staging/
Feb 03, 2022 3:34:24 PM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <142351 bytes, hash
2d0f41428aec96ce3d977835911a77340f8f40594a0d7a8152262fa338be95d9> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-LQ9BQorsls49l3g1kRp3NA-PQFlKDXqBUiYvozi-ldk.pb
Feb 03, 2022 3:34:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource) as step s1
Feb 03, 2022 3:34:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
Feb 03, 2022 3:34:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s3
Feb 03, 2022 3:34:34 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.37.0-SNAPSHOT
Feb 03, 2022 3:34:35 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-02-03_07_34_34-183624775264119218?project=apache-beam-testing
Feb 03, 2022 3:34:35 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-02-03_07_34_34-183624775264119218
Feb 03, 2022 3:34:35 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel
--region=us-central1 2022-02-03_07_34_34-183624775264119218
Feb 03, 2022 3:34:38 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-02-03T15:34:37.957Z: The requested max number of workers (5)
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
Feb 03, 2022 3:34:49 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:34:48.781Z: Worker configuration: e2-standard-2 in
us-central1-b.
Feb 03, 2022 3:34:49 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:34:49.425Z: Expanding CoGroupByKey operations into
optimizable parts.
Feb 03, 2022 3:34:49 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:34:49.473Z: Expanding GroupByKey operations into
optimizable parts.
Feb 03, 2022 3:34:49 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:34:49.502Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Feb 03, 2022 3:34:51 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:34:49.570Z: Fusing adjacent ParDo, Read, Write, and
Flatten operations
Feb 03, 2022 3:34:51 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:34:49.596Z: Fusing consumer
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)
Feb 03, 2022 3:34:51 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:34:49.630Z: Fusing consumer ParDo(TimeMonitor) into
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
Feb 03, 2022 3:34:51 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:34:49.965Z: Executing operation
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
Feb 03, 2022 3:34:51 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:34:50.053Z: Starting 5 workers in us-central1-b...
Feb 03, 2022 3:35:09 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:35:08.990Z: 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
Feb 03, 2022 3:35:35 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:35:35.508Z: Autoscaling: Raised the number of workers
to 5 based on the rate of progress in the currently running stage(s).
Feb 03, 2022 3:36:02 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:36:00.999Z: Workers have started successfully.
Feb 03, 2022 3:36:02 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:36:01.048Z: Workers have started successfully.
Feb 03, 2022 3:36:35 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-02-03T15:36:33.484Z: java.io.IOException: Failed to advance
reader of source: name:
"projects/apache-beam-testing/locations/us/sessions/CAISDG1HNU13R19xREl1SRoCamQaAmly/streams/CAQaAmpkGgJpciDUvLSbBSgC"
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/CAISDG1HNU13R19xREl1SRoCamQaAmly/streams/CAQaAmpkGgJpciDUvLSbBSgC':
offset 64654 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/CAISDG1HNU13R19xREl1SRoCamQaAmly/streams/CAQaAmpkGgJpciDUvLSbBSgC':
offset 64654 has not been allocated yet
at io.grpc.Status.asRuntimeException(Status.java:535)
... 10 more
Feb 03, 2022 3:36:38 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:36:36.669Z: Finished operation
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
Feb 03, 2022 3:36:38 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:36:36.826Z: Cleaning up.
Feb 03, 2022 3:36:38 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:36:36.895Z: Stopping worker pool...
Feb 03, 2022 3:38:56 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:38:56.567Z: Autoscaling: Resized worker pool from 5 to
0.
Feb 03, 2022 3:38:56 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-02-03T15:38:56.602Z: Worker pool stopped.
Feb 03, 2022 3:39:03 PM
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-02-03_07_34_34-183624775264119218 finished with status DONE.
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_OUT
Load test results for test (ID): 8f23c188-6ba4-4027-ac1a-b72bfb51cd3b and
timestamp: 2022-02-03T15:39:03.444000000Z:
Metric: Value:
read_time 11.077
fields_read 4375276.0
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_ERROR
Feb 03, 2022 3:39:03 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 (0.087 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 (0.135 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 11,5,main]) completed. Took 5 mins 32.816 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 9m 18s
165 actionable tasks: 104 executed, 59 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/ldccxynq75im2
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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