See
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/3259/display/redirect?page=changes>
Changes:
[relax] handle changing schemas in Storage API sink
[noreply] Fix a couple style issues (#17361)
[noreply] [BEAM-14287] Clean up staticcheck warnings in graph/coder (#17337)
[noreply] Improvements to dataflow job service for non-Python jobs. (#17338)
[noreply] Bump minimist (#17290)
[noreply] Bump ansi-regex (#17291)
[noreply] Bump nanoid (#17292)
[noreply] Bump lodash (#17293)
[noreply] Bump url-parse (#17294)
[noreply] Bump moment (#17328)
[noreply] Merge pull request #15549 from [BEAM-11997] Changed RedisIO
------------------------------------------
[...truncated 356.23 KB...]
SLF4J: Found binding in
[jar:<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/runners/google-cloud-dataflow-java/worker/legacy-worker/build/libs/beam-runners-google-cloud-dataflow-java-legacy-worker-2.39.0-SNAPSHOT.jar!/org/slf4j/impl/StaticLoggerBinder.class]>
SLF4J: Found binding in
[jar:file:/home/jenkins/.gradle/caches/modules-2/files-2.1/org.slf4j/slf4j-jdk14/1.7.30/d35953dd2fe54ebe39fdf18cfd82fe6eb35b25ed/slf4j-jdk14-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/home/jenkins/.gradle/caches/modules-2/files-2.1/org.slf4j/slf4j-log4j12/1.7.30/c21f55139d8141d2231214fb1feaf50a1edca95e/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/home/jenkins/.gradle/caches/modules-2/files-2.1/org.slf4j/slf4j-simple/1.7.30/e606eac955f55ecf1d8edcccba04eb8ac98088dd/slf4j-simple-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
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
Apr 13, 2022 8:45:37 PM org.apache.beam.runners.dataflow.DataflowRunner
validateSdkContainerImageOptions
WARNING: Prefer --sdkContainerImage over deprecated legacy option
--workerHarnessContainerImage.
Apr 13, 2022 8:45:38 PM
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Apr 13, 2022 8:45:39 PM org.apache.beam.runners.dataflow.DataflowRunner
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files
from the classpath: will stage 372 files. Enable logging at DEBUG level to see
which files will be staged.
Apr 13, 2022 8:45:42 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Apr 13, 2022 8:45:42 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Apr 13, 2022 8:45:43 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
Apr 13, 2022 8:45:43 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Apr 13, 2022 8:45:43 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Apr 13, 2022 8:45:43 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Apr 13, 2022 8:45:43 PM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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_4/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output
[PCollection@378817368]. 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.readUsingDirectReadMethod(BigQueryIOPushDownIT.java:150)
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDefaultMethod STANDARD_ERROR
Apr 13, 2022 8:45:44 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Apr 13, 2022 8:45:44 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Apr 13, 2022 8:45:44 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
Apr 13, 2022 8:45:44 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Apr 13, 2022 8:45:44 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Apr 13, 2022 8:45:44 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Apr 13, 2022 8:45:44 PM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@1340362810]. 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
Apr 13, 2022 8:45:44 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Apr 13, 2022 8:45:44 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Apr 13, 2022 8:45:44 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
Apr 13, 2022 8:45:44 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Apr 13, 2022 8:45:44 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Apr 13, 2022 8:45:44 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]])
Apr 13, 2022 8:45:45 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'))>($5, 2)}, unsupported{}]])
Apr 13, 2022 8:45:45 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
buildIOReader
INFO: Pushing down the following filter: (type = 'story' OR type = 'job')
AND score > 2
Apr 13, 2022 8:45:45 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Apr 13, 2022 8:45:50 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 373 files from PipelineOptions.filesToStage to staging
location to prepare for execution.
Apr 13, 2022 8:45:50 PM
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes
forFileToStage
INFO: Staging custom dataflow-worker.jar as
beam-runners-google-cloud-dataflow-java-legacy-worker-2.39.0-SNAPSHOT-XioNHUGknfXmk6fKbuziG15bWhYDjJMoJ7_qB5jYCOo.jar
Apr 13, 2022 8:45:50 PM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading /tmp/test4949131363754906026.zip to
gs://temp-storage-for-perf-tests/loadtests/staging/test-VOq4IBGknMD3w6mvfDvV6eIsdrmEsLi4KweIXkxoZ18.jar
Apr 13, 2022 8:45:50 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-2.39.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-core-2.39.0-SNAPSHOT-oXmEDXtGwjAodTHQAoB404Q-XBMqQA9uvmN5W6w7eR8.jar
Apr 13, 2022 8:45:50 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-2.39.0-SNAPSHOT-unshaded.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-core-2.39.0-SNAPSHOT-unshaded-jRz6uqds7GsKNdprGbrkg1fPB8WPHxlcWTi6Cvo6aeo.jar
Apr 13, 2022 8:45:51 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 370 files cached, 3 files newly uploaded in 0
seconds
Apr 13, 2022 8:45:51 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to
gs://temp-storage-for-perf-tests/loadtests/staging/
Apr 13, 2022 8:45:51 PM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <146627 bytes, hash
75b0f872775bd3e9b171ec89c9848f6bff7b8af83a160d907d32542b89ac47b9> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-dbD4cndb0-mxceyJyYSPa_97ivg6Fg2QfTJUK4msR7k.pb
Apr 13, 2022 8:45:54 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource) as step s1
Apr 13, 2022 8:45:54 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
Apr 13, 2022 8:45:54 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s3
Apr 13, 2022 8:45:54 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.39.0-SNAPSHOT
Apr 13, 2022 8:45:55 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-13_13_45_54-7305362809973682437?project=apache-beam-testing
Apr 13, 2022 8:45:55 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-04-13_13_45_54-7305362809973682437
Apr 13, 2022 8:45:55 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel
--region=us-central1 2022-04-13_13_45_54-7305362809973682437
Apr 13, 2022 8:45:59 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-04-13T20:45:55.982Z: The requested max number of workers (5)
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
Apr 13, 2022 8:46:09 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:06.495Z: Worker configuration: e2-standard-2 in
us-central1-b.
Apr 13, 2022 8:46:09 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:07.366Z: Expanding CoGroupByKey operations into
optimizable parts.
Apr 13, 2022 8:46:09 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:07.410Z: Expanding GroupByKey operations into
optimizable parts.
Apr 13, 2022 8:46:09 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:07.447Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Apr 13, 2022 8:46:09 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:07.515Z: Fusing adjacent ParDo, Read, Write, and
Flatten operations
Apr 13, 2022 8:46:09 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:07.553Z: Fusing consumer
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)
Apr 13, 2022 8:46:09 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:07.583Z: Fusing consumer ParDo(TimeMonitor) into
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
Apr 13, 2022 8:46:09 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:07.955Z: Executing operation
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
Apr 13, 2022 8:46:09 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:08.076Z: Starting 5 workers in us-central1-b...
Apr 13, 2022 8:46:39 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:38.796Z: 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
Apr 13, 2022 8:46:45 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:43.918Z: Autoscaling: Raised the number of workers
to 3 based on the rate of progress in the currently running stage(s).
Apr 13, 2022 8:46:45 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:43.949Z: Resized worker pool to 3, though goal was
5. This could be a quota issue.
Apr 13, 2022 8:46:55 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:54.299Z: Autoscaling: Raised the number of workers
to 4 based on the rate of progress in the currently running stage(s).
Apr 13, 2022 8:46:55 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:46:54.334Z: Resized worker pool to 4, though goal was
5. This could be a quota issue.
Apr 13, 2022 8:47:05 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:47:04.686Z: Autoscaling: Raised the number of workers
to 5 based on the rate of progress in the currently running stage(s).
Apr 13, 2022 8:47:19 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:47:17.941Z: Workers have started successfully.
Apr 13, 2022 8:47:48 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:47:46.234Z: Finished operation
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
Apr 13, 2022 8:47:48 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:47:46.379Z: Cleaning up.
Apr 13, 2022 8:47:48 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:47:46.464Z: Stopping worker pool...
Apr 13, 2022 8:48:48 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:48:47.886Z: Autoscaling: Resized worker pool from 5 to
0.
Apr 13, 2022 8:48:48 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-04-13T20:48:47.965Z: Worker pool stopped.
Apr 13, 2022 8:48:57 PM
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-04-13_13_45_54-7305362809973682437 finished with status DONE.
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_OUT
Load test results for test (ID): 938d5a31-708c-43e3-97bd-379db8ead8c2 and
timestamp: 2022-04-13T20:48:57.629000000Z:
Metric: Value:
read_time 6.192
fields_read 4375276.0
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_ERROR
Apr 13, 2022 8:48:57 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 (0.027 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 (0.027 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 8,5,main]) completed. Took 3 mins 23.831 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 4m 28s
165 actionable tasks: 106 executed, 57 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/7vgmemqneojkm
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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