See
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/2403/display/redirect?page=changes>
Changes:
[noreply] Merge pull request #15480: [BEAM-12356] Make sure DatasetService is
[noreply] [BEAM-11981] Java Bigtable - Implement IO Request Count metrics
(#15342)
[noreply] [BEAM-12834] Improve Go SDK cross-language documentation and API.
------------------------------------------
[...truncated 360.87 KB...]
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
Sep 09, 2021 6:48:37 AM org.apache.beam.runners.dataflow.DataflowRunner
validateSdkContainerImageOptions
WARNING: Prefer --sdkContainerImage over deprecated legacy option
--workerHarnessContainerImage.
Sep 09, 2021 6:48:38 AM
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Sep 09, 2021 6:48:39 AM org.apache.beam.runners.dataflow.DataflowRunner
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files
from the classpath: will stage 249 files. Enable logging at DEBUG level to see
which files will be staged.
Sep 09, 2021 6:48:41 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Sep 09, 2021 6:48:41 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Sep 09, 2021 6:48:42 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
Sep 09, 2021 6:48:43 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Sep 09, 2021 6:48:43 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Sep 09, 2021 6:48:43 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Sep 09, 2021 6:48:43 AM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@1317539897]. 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:81)
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
Sep 09, 2021 6:48:44 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Sep 09, 2021 6:48:44 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Sep 09, 2021 6:48:44 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
Sep 09, 2021 6:48:44 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Sep 09, 2021 6:48:44 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Sep 09, 2021 6:48:44 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Sep 09, 2021 6:48:44 AM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@1789235794]. 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:81)
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
Sep 09, 2021 6:48:44 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Sep 09, 2021 6:48:44 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Sep 09, 2021 6:48:44 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
Sep 09, 2021 6:48:44 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Sep 09, 2021 6:48:44 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Sep 09, 2021 6:48:44 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]])
Sep 09, 2021 6:48:45 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'))>($5, 2)}, unsupported{}]])
Sep 09, 2021 6:48:45 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
buildIOReader
INFO: Pushing down the following filter: (type = 'story' OR type = 'job')
AND score > 2
Sep 09, 2021 6:48:45 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Sep 09, 2021 6:48:48 AM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 250 files from PipelineOptions.filesToStage to staging
location to prepare for execution.
Sep 09, 2021 6:48:48 AM
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes
forFileToStage
INFO: Staging custom dataflow-worker.jar as
beam-runners-google-cloud-dataflow-java-legacy-worker-2.34.0-SNAPSHOT-E-KPx8odQzZ4kFtSdYrJ4EpS3UhAdfKiSlspRWHWbTM.jar
Sep 09, 2021 6:48:48 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading /tmp/test4102403725535759715.zip to
gs://temp-storage-for-perf-tests/loadtests/staging/test-YuEt9d4aY18rG-i3uAL0CA2cr-0Z5YBkJMJ3DvNaBa8.jar
Sep 09, 2021 6:48:48 AM 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-2.34.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-join-library-2.34.0-SNAPSHOT-xz-aSlhizJi8jigGo3amZ2g_MkglE3dBulicsi2UX5U.jar
Sep 09, 2021 6:48:48 AM 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/thrift/build/libs/beam-sdks-java-io-thrift-2.34.0-SNAPSHOT-tests.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-thrift-2.34.0-SNAPSHOT-tests-I-osQrG-lSEES6RD4ibuovIeVl-_U3nOEEsBLo1rYrA.jar
Sep 09, 2021 6:48:49 AM 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/thrift/build/libs/beam-sdks-java-io-thrift-2.34.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-thrift-2.34.0-SNAPSHOT-4bF8QpaxkWlkdPssX5OV0S9rIzFuRU0pojrN2fBwjjk.jar
Sep 09, 2021 6:48:49 AM 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-2.34.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-sql-udf-2.34.0-SNAPSHOT-MlQQAS1Je1cH4lXtIOKM3zL6o97S5F7sJQ3zUailw08.jar
Sep 09, 2021 6:48:49 AM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 245 files cached, 5 files newly uploaded in 0
seconds
Sep 09, 2021 6:48:49 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to
gs://temp-storage-for-perf-tests/loadtests/staging/
Sep 09, 2021 6:48:49 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <104003 bytes, hash
571bfc393a8d0f6b3a33b7d0823acafed0530022247a92f96ee8625f31fccaee> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-Vxv8OTqND2s6M7fQgjrK_tBTACIkepL5buhiXzH8yu4.pb
Sep 09, 2021 6:48:51 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource) as step s1
Sep 09, 2021 6:48:51 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
Sep 09, 2021 6:48:51 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s3
Sep 09, 2021 6:48:52 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.34.0-SNAPSHOT
Sep 09, 2021 6:48:52 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-09-08_23_48_52-5219237452619354559?project=apache-beam-testing
Sep 09, 2021 6:48:52 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2021-09-08_23_48_52-5219237452619354559
Sep 09, 2021 6:48:52 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel
--region=us-central1 2021-09-08_23_48_52-5219237452619354559
Sep 09, 2021 6:48:55 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2021-09-09T06:48:55.523Z: The requested max number of workers (5)
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
Sep 09, 2021 6:49:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:01.268Z: Worker configuration: e2-standard-2 in
us-central1-a.
Sep 09, 2021 6:49:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:01.914Z: Expanding CoGroupByKey operations into
optimizable parts.
Sep 09, 2021 6:49:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:01.974Z: Expanding GroupByKey operations into
optimizable parts.
Sep 09, 2021 6:49:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:02.007Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Sep 09, 2021 6:49:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:02.082Z: Fusing adjacent ParDo, Read, Write, and
Flatten operations
Sep 09, 2021 6:49:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:02.110Z: Fusing consumer
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)
Sep 09, 2021 6:49:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:02.131Z: Fusing consumer ParDo(TimeMonitor) into
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
Sep 09, 2021 6:49:04 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:02.500Z: Executing operation
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
Sep 09, 2021 6:49:04 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:02.580Z: Starting 5 workers in us-central1-a...
Sep 09, 2021 6:49:15 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:12.854Z: 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
Sep 09, 2021 6:49:40 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2021-09-09T06:49:39.926Z: Autoscaling: Startup of the worker pool
in zone us-central1-a reached 2 workers, but the goal was 5 workers. The
service will retry. QUOTA_EXCEEDED: Quota 'CPUS' exceeded. Limit: 2000.0 in
region us-central1.
Sep 09, 2021 6:49:54 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:54.315Z: Autoscaling: Raised the number of workers
to 1 based on the rate of progress in the currently running stage(s).
Sep 09, 2021 6:49:54 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:49:54.337Z: Resized worker pool to 1, though goal was
5. This could be a quota issue.
Sep 09, 2021 6:50:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:50:14.937Z: Autoscaling: Raised the number of workers
to 2 based on the rate of progress in the currently running stage(s).
Sep 09, 2021 6:50:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:50:14.989Z: Resized worker pool to 2, though goal was
5. This could be a quota issue.
Sep 09, 2021 6:50:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:50:16.374Z: Workers have started successfully.
Sep 09, 2021 6:50:17 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:50:16.412Z: Workers have started successfully.
Sep 09, 2021 6:50:49 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:50:48.438Z: Autoscaling: Raised the number of workers
to 5 based on the rate of progress in the currently running stage(s).
Sep 09, 2021 6:51:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:51:01.460Z: Finished operation
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
Sep 09, 2021 6:51:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:51:01.603Z: Cleaning up.
Sep 09, 2021 6:51:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:51:01.681Z: Stopping worker pool...
Sep 09, 2021 6:53:24 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:53:22.721Z: Autoscaling: Resized worker pool from 5 to
0.
Sep 09, 2021 6:53:24 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-09-09T06:53:22.765Z: Worker pool stopped.
Sep 09, 2021 6:53:29 AM
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2021-09-08_23_48_52-5219237452619354559 finished with status DONE.
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_OUT
Load test results for test (ID): b4a6ad67-4b8d-4500-b63d-649a938374a1 and
timestamp: 2021-09-09T06:53:29.738000000Z:
Metric: Value:
read_time 22.55
fields_read 4375276.0
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_ERROR
Sep 09, 2021 6:53:30 AM
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
WARNING: Missing property -- measurement/database. Metrics won't be
published.
Gradle Test Executor 6 finished executing tests.
> Task :sdks:java:extensions:sql:perf-tests:integrationTest FAILED
3 tests completed, 2 failed
Finished generating test XML results (0.025 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 (0.034 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 2,5,main]) completed. Took 4 mins 58.44 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/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 9m 10s
152 actionable tasks: 112 executed, 40 from cache
Publishing build scan...
https://gradle.com/s/42gyfcvvqbb7y
Stopped 5 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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