See
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/1699/display/redirect?page=changes>
Changes:
[Ismaël Mejía] [BEAM-11913] Add support for Hadoop configuration on ParquetIO
[Ismaël Mejía] [BEAM-11941] Upgrade Flink runner to Flink version 1.12.2
[noreply] [BEAM-11659] Allow Kafka sql table provider to have a nested mode and
[noreply] [BEAM-11659] Implement Pub/Sub Lite Table Provider (#13920)
------------------------------------------
[...truncated 413.79 KB...]
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethod STANDARD_ERROR
Mar 09, 2021 6:57:48 PM
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Mar 09, 2021 6:57:49 PM org.apache.beam.runners.dataflow.DataflowRunner
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files
from the classpath: will stage 232 files. Enable logging at DEBUG level to see
which files will be staged.
Mar 09, 2021 6:57:51 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Mar 09, 2021 6:57:51 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Mar 09, 2021 6:57:51 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
Mar 09, 2021 6:57:51 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Mar 09, 2021 6:57:51 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Mar 09, 2021 6:57:51 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Mar 09, 2021 6:57:52 PM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@161549164]. 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
Mar 09, 2021 6:57:52 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Mar 09, 2021 6:57:52 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Mar 09, 2021 6:57:52 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
Mar 09, 2021 6:57:52 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Mar 09, 2021 6:57:52 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Mar 09, 2021 6:57:52 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Mar 09, 2021 6:57:52 PM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@475010359]. 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
Mar 09, 2021 6:57:52 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Mar 09, 2021 6:57:52 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Mar 09, 2021 6:57:53 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
Mar 09, 2021 6:57:53 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Mar 09, 2021 6:57:53 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Mar 09, 2021 6:57:53 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]])
Mar 09, 2021 6:57:53 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'))>($5, 2)}, unsupported{}]])
Mar 09, 2021 6:57:53 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
buildIOReader
INFO: Pushing down the following filter: (`type` = 'story' OR `type` =
'job') AND `score` > 2
Mar 09, 2021 6:57:54 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Mar 09, 2021 6:57:57 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 233 files from PipelineOptions.filesToStage to staging
location to prepare for execution.
Mar 09, 2021 6:57:57 PM
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes
forFileToStage
INFO: Staging custom dataflow-worker.jar as
beam-runners-google-cloud-dataflow-java-legacy-worker-2.29.0-SNAPSHOT-KSU6Kw39QqtaisVNYcVPQuSS5YzijYv_tH4d0dd8Amc.jar
Mar 09, 2021 6:57:57 PM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading /tmp/test4753899428239117652.zip to
gs://temp-storage-for-perf-tests/loadtests/staging/test-ee8Xsmh1LhKmGjCkr3wyOQrW3VBGMA6s_OGl_8zqW0Y.jar
Mar 09, 2021 6:57:57 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/build/libs/beam-sdks-java-extensions-sql-2.29.0-SNAPSHOT-tests.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-sql-2.29.0-SNAPSHOT-tests-_66ntyrfFQ057jfSL_-2DtYuhO-jo-ioWehUREz25Ns.jar
Mar 09, 2021 6:57:57 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/build/libs/beam-sdks-java-extensions-sql-2.29.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-sql-2.29.0-SNAPSHOT-SD3vVkSMJjq4E7X7pYPi89vIhuVpfwK-M3EaBzyw1Ok.jar
Mar 09, 2021 6:57:57 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/core/build/libs/beam-sdks-java-core-2.29.0-SNAPSHOT-unshaded.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-core-2.29.0-SNAPSHOT-unshaded-7S1xkx3OO1R8bd_E_BnwZZJYJ0J47oE1eKBkxNmuY5E.jar
Mar 09, 2021 6:57:57 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/core/build/libs/beam-sdks-java-core-2.29.0-SNAPSHOT-tests.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-core-2.29.0-SNAPSHOT-tests-pSmfeohZbWWSiSkc1apUm_hGglUcrCkeF6Ic61t7V4I.jar
Mar 09, 2021 6:57:57 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/core/build/libs/beam-sdks-java-core-2.29.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-core-2.29.0-SNAPSHOT-Hm2ER5Gt4vdSH0MnH-QuKCQWjNyhuPlKgE-LX9yTmPE.jar
Mar 09, 2021 6:57:58 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 227 files cached, 6 files newly uploaded in 1
seconds
Mar 09, 2021 6:57:58 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource) as step s1
Mar 09, 2021 6:57:58 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_229/ParDo(RowMonitor) as step s2
Mar 09, 2021 6:57:58 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamCalcRel_285/ParDo(Calc) as step s3
Mar 09, 2021 6:57:58 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s4
Mar 09, 2021 6:57:58 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging pipeline description to
gs://temp-storage-for-perf-tests/loadtests/staging/
Mar 09, 2021 6:57:58 PM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <101889 bytes, hash
1a3f62fbf150b818461d94b842dce336c03b756ee9c89803a7a01d43e0cc703e> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-Gj9i-_FQuBhGHZS4QtzjNsA7dW7pyJgDp6AdQ-DMcD4.pb
Mar 09, 2021 6:57:59 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.29.0-SNAPSHOT
Mar 09, 2021 6:58:00 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-central1/2021-03-09_10_57_59-4060617923211161170?project=apache-beam-testing
Mar 09, 2021 6:58:00 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2021-03-09_10_57_59-4060617923211161170
Mar 09, 2021 6:58:00 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 2021-03-09_10_57_59-4060617923211161170
Mar 09, 2021 6:58:04 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2021-03-09T18:58:02.656Z: The requested max number of workers (5)
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
Mar 09, 2021 6:58:11 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:10.702Z: Worker configuration: n1-standard-1 in
us-central1-c.
Mar 09, 2021 6:58:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:11.263Z: Expanding CoGroupByKey operations into
optimizable parts.
Mar 09, 2021 6:58:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:11.304Z: Expanding GroupByKey operations into
optimizable parts.
Mar 09, 2021 6:58:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:11.342Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Mar 09, 2021 6:58:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:11.402Z: Fusing adjacent ParDo, Read, Write, and
Flatten operations
Mar 09, 2021 6:58:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:11.436Z: Fusing consumer
BeamPushDownIOSourceRel_229/ParDo(RowMonitor) into
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)
Mar 09, 2021 6:58:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:11.475Z: Fusing consumer BeamCalcRel_285/ParDo(Calc)
into BeamPushDownIOSourceRel_229/ParDo(RowMonitor)
Mar 09, 2021 6:58:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:11.505Z: Fusing consumer ParDo(TimeMonitor) into
BeamCalcRel_285/ParDo(Calc)
Mar 09, 2021 6:58:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:11.899Z: Executing operation
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
Mar 09, 2021 6:58:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:11.974Z: Starting 5 workers in us-central1-c...
Mar 09, 2021 6:58:43 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:42.345Z: 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 09, 2021 6:58:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:46.532Z: Autoscaling: Raised the number of workers
to 1 based on the rate of progress in the currently running stage(s).
Mar 09, 2021 6:58:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:46.553Z: Resized worker pool to 1, though goal was
5. This could be a quota issue.
Mar 09, 2021 6:58:58 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:58:56.809Z: Autoscaling: Raised the number of workers
to 5 based on the rate of progress in the currently running stage(s).
Mar 09, 2021 6:59:33 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:59:32.538Z: Workers have started successfully.
Mar 09, 2021 6:59:33 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T18:59:32.574Z: Workers have started successfully.
Mar 09, 2021 7:00:05 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T19:00:03.335Z: Finished operation
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
Mar 09, 2021 7:00:05 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T19:00:03.471Z: Cleaning up.
Mar 09, 2021 7:00:05 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T19:00:03.541Z: Stopping worker pool...
Mar 09, 2021 7:02:32 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T19:02:32.125Z: Autoscaling: Resized worker pool from 5 to
0.
Mar 09, 2021 7:02:32 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-03-09T19:02:32.170Z: Worker pool stopped.
Mar 09, 2021 7:02:38 PM
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2021-03-09_10_57_59-4060617923211161170 finished with status DONE.
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_OUT
Load test results for test (ID): b06aa405-9acc-40a5-9022-6f7b8345f03a and
timestamp: 2021-03-09T19:02:38.290000000Z:
Metric: Value:
read_time 13.483
fields_read 4375276.0
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_ERROR
Mar 09, 2021 7:02:38 PM
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
WARNING: Missing property -- measurement/database. Metrics won't be
published.
Gradle Test Executor 11 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 (0.032 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 ':' Thread 11,5,main]) completed. Took 4 mins 54.497 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 18m 20s
149 actionable tasks: 133 executed, 16 from cache
Watching 2245 directories to track changes
Publishing build scan...
https://gradle.com/s/fjhlt5q2acb3u
Stopped 10 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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