See
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/1557/display/redirect>
Changes:
------------------------------------------
[...truncated 391.14 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
Feb 02, 2021 6:44:55 AM
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Feb 02, 2021 6:44:56 AM org.apache.beam.runners.dataflow.DataflowRunner
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files
from the classpath: will stage 228 files. Enable logging at DEBUG level to see
which files will be staged.
Feb 02, 2021 6:44:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 02, 2021 6:44:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 02, 2021 6:44:58 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
Feb 02, 2021 6:44:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 02, 2021 6:44:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 02, 2021 6:44:59 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Feb 02, 2021 6:44:59 AM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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_3/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output
[PCollection@758046857]. 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 02, 2021 6:44:59 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Feb 02, 2021 6:44:59 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 02, 2021 6:44:59 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
Feb 02, 2021 6:44:59 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Feb 02, 2021 6:44:59 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 02, 2021 6:44:59 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Feb 02, 2021 6:45:00 AM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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_95/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output
[PCollection@816948552]. 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 02, 2021 6:45:00 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 02, 2021 6:45:00 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 02, 2021 6:45:00 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
Feb 02, 2021 6:45:00 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 02, 2021 6:45:00 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 02, 2021 6:45:00 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]])
Feb 02, 2021 6:45:00 AM
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'))>($5, 2)}, unsupported{}]])
Feb 02, 2021 6:45:00 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
buildIOReader
INFO: Pushing down the following filter: (`type` = 'story' OR `type` =
'job') AND `score` > 2
Feb 02, 2021 6:45:02 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Feb 02, 2021 6:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 229 files from PipelineOptions.filesToStage to staging
location to prepare for execution.
Feb 02, 2021 6:45:04 AM
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes
forFileToStage
INFO: Staging custom dataflow-worker.jar as
beam-runners-google-cloud-dataflow-java-legacy-worker-2.29.0-SNAPSHOT-hcrHl3nIcMxtK6uIC61YfEhyUatJnS8yaBhg51-cb3k.jar
Feb 02, 2021 6:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading /tmp/test1414873859117825648.zip to
gs://temp-storage-for-perf-tests/loadtests/staging/test-v6lAoNjgod2XoOCvbRQtzzuJ9mnmWLS10RGfrY7rgLI.jar
Feb 02, 2021 6:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading
/home/jenkins/.gradle/caches/modules-2/files-2.1/org.rnorth.visible-assertions/visible-assertions/2.1.2/20d31a578030ec8e941888537267d3123c2ad1c1/visible-assertions-2.1.2.jar
to
gs://temp-storage-for-perf-tests/loadtests/staging/visible-assertions-2.1.2-RQSulosjfNzcto_1sHqmOr5JkvkHp3w9YSCqm5BBQBw.jar
Feb 02, 2021 6:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading
/home/jenkins/.gradle/caches/modules-2/files-2.1/net.java.dev.jna/jna/5.5.0/e0845217c4907822403912ad6828d8e0b256208/jna-5.5.0.jar
to
gs://temp-storage-for-perf-tests/loadtests/staging/jna-5.5.0-swj66_5O1AnehBDgpjLRZLISawNfbqz_lo05CMr7TZ4.jar
Feb 02, 2021 6:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading
/home/jenkins/.gradle/caches/modules-2/files-2.1/net.java.dev.jna/jna-platform/4.0.0/deb6bf66918989b50209b8c9aaf3b2561af7f011/jna-platform-4.0.0.jar
to
gs://temp-storage-for-perf-tests/loadtests/staging/jna-platform-4.0.0-B21i7Yfna9yzdQ_-gKpJXuIRK9chJmOVTWVH9IJEkuk.jar
Feb 02, 2021 6:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading
/home/jenkins/.gradle/caches/modules-2/files-2.1/org.rnorth.duct-tape/duct-tape/1.0.8/92edc22a9ab2f3e17c9bf700aaee377d50e8b530/duct-tape-1.0.8.jar
to
gs://temp-storage-for-perf-tests/loadtests/staging/duct-tape-1.0.8-Mc7xLd7JedH4bXz3CMQaF9pSPQXGhf1mQunQsq3bckA.jar
Feb 02, 2021 6:45:05 AM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 224 files cached, 5 files newly uploaded in 0
seconds
Feb 02, 2021 6:45:05 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource) as step s1
Feb 02, 2021 6:45:05 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_229/ParDo(RowMonitor) as step s2
Feb 02, 2021 6:45:05 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamCalcRel_285/ParDo(Calc) as step s3
Feb 02, 2021 6:45:05 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s4
Feb 02, 2021 6:45:05 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging pipeline description to
gs://temp-storage-for-perf-tests/loadtests/staging/
Feb 02, 2021 6:45:05 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <100347 bytes, hash
a15116a782e67632feca6dddaeb8dce3b1821b78e027157ad16b15d2f3c59fbd> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-oVEWp4LmdjL-ym3drrjc47GCG3jgJxV60WsV0vPFn70.pb
Feb 02, 2021 6:45:05 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.29.0-SNAPSHOT
Feb 02, 2021 6:45:07 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-central1/2021-02-01_22_45_05-9524883458751990717?project=apache-beam-testing
Feb 02, 2021 6:45:07 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2021-02-01_22_45_05-9524883458751990717
Feb 02, 2021 6:45:07 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 2021-02-01_22_45_05-9524883458751990717
Feb 02, 2021 6:45:10 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2021-02-02T06:45:08.360Z: The requested max number of workers (5)
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
Feb 02, 2021 6:45:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:14.814Z: Worker configuration: n1-standard-1 in
us-central1-f.
Feb 02, 2021 6:45:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:15.403Z: Expanding CoGroupByKey operations into
optimizable parts.
Feb 02, 2021 6:45:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:15.439Z: Expanding GroupByKey operations into
optimizable parts.
Feb 02, 2021 6:45:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:15.473Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Feb 02, 2021 6:45:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:15.568Z: Fusing adjacent ParDo, Read, Write, and
Flatten operations
Feb 02, 2021 6:45:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:15.600Z: Fusing consumer
BeamPushDownIOSourceRel_229/ParDo(RowMonitor) into
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)
Feb 02, 2021 6:45:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:15.628Z: Fusing consumer BeamCalcRel_285/ParDo(Calc)
into BeamPushDownIOSourceRel_229/ParDo(RowMonitor)
Feb 02, 2021 6:45:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:15.662Z: Fusing consumer ParDo(TimeMonitor) into
BeamCalcRel_285/ParDo(Calc)
Feb 02, 2021 6:45:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:16.019Z: Executing operation
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
Feb 02, 2021 6:45:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:16.087Z: Starting 5 workers in us-central1-f...
Feb 02, 2021 6:45:44 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:42.194Z: Autoscaling: Raised the number of workers
to 3 based on the rate of progress in the currently running stage(s).
Feb 02, 2021 6:45:44 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:42.224Z: Resized worker pool to 3, though goal was
5. This could be a quota issue.
Feb 02, 2021 6:45:44 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:43.503Z: 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 02, 2021 6:45:53 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:45:52.563Z: Autoscaling: Raised the number of workers
to 5 based on the rate of progress in the currently running stage(s).
Feb 02, 2021 6:46:10 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:46:09.414Z: Workers have started successfully.
Feb 02, 2021 6:46:10 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:46:09.435Z: Workers have started successfully.
Feb 02, 2021 6:46:44 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:46:43.123Z: Finished operation
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
Feb 02, 2021 6:46:44 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:46:43.399Z: Cleaning up.
Feb 02, 2021 6:46:44 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:46:43.479Z: Stopping worker pool...
Feb 02, 2021 6:47:32 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:47:31.643Z: Autoscaling: Resized worker pool from 5 to
0.
Feb 02, 2021 6:47:32 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-02T06:47:31.677Z: Worker pool stopped.
Feb 02, 2021 6:47:37 AM
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2021-02-01_22_45_05-9524883458751990717 finished with status DONE.
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_OUT
Load test results for test (ID): fa71c8f3-e346-4d97-94e1-ecfcee9c657f and
timestamp: 2021-02-02T06:47:37.918000000Z:
Metric: Value:
fields_read 4375276.0
read_time 13.928
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_ERROR
Feb 02, 2021 6:47:38 AM
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
WARNING: Missing property -- measurement/database. Metrics won't be
published.
Gradle Test Executor 1 finished executing tests.
> Task :sdks:java:extensions:sql:perf-tests:integrationTest FAILED
3 tests completed, 2 failed
Finished generating test XML results (0.031 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 (0.042 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 2267 directories to track changes
Watching 2273 directories to track changes
Watching 2274 directories to track changes
:sdks:java:extensions:sql:perf-tests:integrationTest (Thread[Execution worker
for ':' Thread 7,5,main]) completed. Took 2 mins 47.686 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 3m 22s
148 actionable tasks: 93 executed, 55 from cache
Watching 2274 directories to track changes
Publishing build scan...
https://gradle.com/s/cqn2dpelgxop2
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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