See
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/2909/display/redirect?page=changes>
Changes:
[noreply] [BEAM-13480] Increase pipeline timeout for
[noreply] Stronger typing inference for CoGBK. (#16465)
------------------------------------------
[...truncated 356.83 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
Jan 13, 2022 6:44:58 PM org.apache.beam.runners.dataflow.DataflowRunner
validateSdkContainerImageOptions
WARNING: Prefer --sdkContainerImage over deprecated legacy option
--workerHarnessContainerImage.
Jan 13, 2022 6:44:58 PM
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Jan 13, 2022 6:44:59 PM org.apache.beam.runners.dataflow.DataflowRunner
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files
from the classpath: will stage 356 files. Enable logging at DEBUG level to see
which files will be staged.
Jan 13, 2022 6:45:02 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Jan 13, 2022 6:45:02 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Jan 13, 2022 6:45:03 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
Jan 13, 2022 6:45:03 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Jan 13, 2022 6:45:03 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Jan 13, 2022 6:45:03 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Jan 13, 2022 6:45:03 PM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@18392277]. 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
Jan 13, 2022 6:45:04 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Jan 13, 2022 6:45:04 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Jan 13, 2022 6:45:04 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
Jan 13, 2022 6:45:04 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Jan 13, 2022 6:45:04 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Jan 13, 2022 6:45:04 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Jan 13, 2022 6:45:04 PM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@1046044067]. 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
Jan 13, 2022 6:45:04 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Jan 13, 2022 6:45:04 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Jan 13, 2022 6:45:04 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
Jan 13, 2022 6:45:04 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Jan 13, 2022 6:45:04 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Jan 13, 2022 6:45:04 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]])
Jan 13, 2022 6:45:05 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'))>($5, 2)}, unsupported{}]])
Jan 13, 2022 6:45:05 PM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
buildIOReader
INFO: Pushing down the following filter: (type = 'story' OR type = 'job')
AND score > 2
Jan 13, 2022 6:45:05 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Jan 13, 2022 6:45:09 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 357 files from PipelineOptions.filesToStage to staging
location to prepare for execution.
Jan 13, 2022 6:45:09 PM
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes
forFileToStage
INFO: Staging custom dataflow-worker.jar as
beam-runners-google-cloud-dataflow-java-legacy-worker-2.37.0-SNAPSHOT-HoKmZanH_5O4w8vR-XjUi706ly4Ab8VQuPSZeLzefik.jar
Jan 13, 2022 6:45:10 PM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading /tmp/test9156218825089533647.zip to
gs://temp-storage-for-perf-tests/loadtests/staging/test-tg54PoiHlfFOYK5sBC4DS-6ZY89Z2XTHAmvexf0Ej4w.jar
Jan 13, 2022 6:45:11 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 356 files cached, 1 files newly uploaded in 1
seconds
Jan 13, 2022 6:45:11 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to
gs://temp-storage-for-perf-tests/loadtests/staging/
Jan 13, 2022 6:45:11 PM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <140660 bytes, hash
31166ab209fc158f59663460f6f6b4a8d7916262ada782c3f9c315ebea21ebdb> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-MRZqsgn8FY9ZZjRg9va0qNeRYmKtp4LD-cMV6-oh69s.pb
Jan 13, 2022 6:45:14 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource) as step s1
Jan 13, 2022 6:45:14 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
Jan 13, 2022 6:45:14 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s3
Jan 13, 2022 6:45:14 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.37.0-SNAPSHOT
Jan 13, 2022 6:45:16 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-01-13_10_45_14-17887481091646140131?project=apache-beam-testing
Jan 13, 2022 6:45:16 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-01-13_10_45_14-17887481091646140131
Jan 13, 2022 6:45:16 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel
--region=us-central1 2022-01-13_10_45_14-17887481091646140131
Jan 13, 2022 6:45:22 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-01-13T18:45:19.437Z: The requested max number of workers (5)
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
Jan 13, 2022 6:45:30 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:45:30.180Z: Worker configuration: e2-standard-2 in
us-central1-a.
Jan 13, 2022 6:45:31 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:45:30.881Z: Expanding CoGroupByKey operations into
optimizable parts.
Jan 13, 2022 6:45:31 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:45:30.976Z: Expanding GroupByKey operations into
optimizable parts.
Jan 13, 2022 6:45:31 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:45:31.003Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Jan 13, 2022 6:45:31 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:45:31.056Z: Fusing adjacent ParDo, Read, Write, and
Flatten operations
Jan 13, 2022 6:45:31 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:45:31.082Z: Fusing consumer
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)
Jan 13, 2022 6:45:31 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:45:31.106Z: Fusing consumer ParDo(TimeMonitor) into
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
Jan 13, 2022 6:45:31 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:45:31.458Z: Executing operation
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
Jan 13, 2022 6:45:31 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:45:31.587Z: Starting 5 workers in us-central1-a...
Jan 13, 2022 6:45:34 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:45:31.880Z: 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
Jan 13, 2022 6:46:19 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:46:18.452Z: Autoscaling: Raised the number of workers
to 1 based on the rate of progress in the currently running stage(s).
Jan 13, 2022 6:46:19 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:46:18.475Z: Resized worker pool to 1, though goal was
5. This could be a quota issue.
Jan 13, 2022 6:46:29 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:46:28.906Z: Autoscaling: Raised the number of workers
to 2 based on the rate of progress in the currently running stage(s).
Jan 13, 2022 6:46:29 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:46:28.942Z: Resized worker pool to 2, though goal was
5. This could be a quota issue.
Jan 13, 2022 6:46:41 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:46:39.278Z: Autoscaling: Raised the number of workers
to 3 based on the rate of progress in the currently running stage(s).
Jan 13, 2022 6:46:41 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:46:39.319Z: Resized worker pool to 3, though goal was
5. This could be a quota issue.
Jan 13, 2022 6:46:46 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:46:45.430Z: Workers have started successfully.
Jan 13, 2022 6:46:46 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:46:45.460Z: Workers have started successfully.
Jan 13, 2022 6:46:51 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:46:49.749Z: Autoscaling: Raised the number of workers
to 4 based on the rate of progress in the currently running stage(s).
Jan 13, 2022 6:46:51 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:46:49.784Z: Resized worker pool to 4, though goal was
5. This could be a quota issue.
Jan 13, 2022 6:47:26 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:47:25.749Z: Finished operation
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
Jan 13, 2022 6:47:26 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:47:26.020Z: Cleaning up.
Jan 13, 2022 6:47:26 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:47:26.096Z: Stopping worker pool...
Jan 13, 2022 6:50:59 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:50:57.767Z: Autoscaling: Resized worker pool from 4 to
0.
Jan 13, 2022 6:50:59 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-13T18:50:57.938Z: Worker pool stopped.
Jan 13, 2022 6:51:06 PM
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-01-13_10_45_14-17887481091646140131 finished with status
DONE.
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_OUT
Load test results for test (ID): ea255dfa-29e8-4d4b-8b9b-9aad3d2587d8 and
timestamp: 2022-01-13T18:51:06.298000000Z:
Metric: Value:
read_time 16.751
fields_read 4375276.0
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_ERROR
Jan 13, 2022 6:51:06 PM
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
WARNING: Missing property -- measurement/database. Metrics won't be
published.
Gradle Test Executor 62 finished executing tests.
> Task :sdks:java:extensions:sql:perf-tests:integrationTest FAILED
3 tests completed, 2 failed
Finished generating test XML results (0.001 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 (0.002 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 3,5,main]) completed. Took 6 mins 12.004 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 6m 47s
165 actionable tasks: 107 executed, 56 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/4jgqe7oeysxqq
Stopped 2 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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