See
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/4166/display/redirect?page=changes>
Changes:
[noreply] [Website] change svg to png (#24268)
[noreply] Fix error messages in cred rotation email (#24474)
[noreply] Add integer to NUMERIC and BIGNUMERIC conversion support (#24447)
[noreply] Update jackson dep. (#24445)
[noreply] Reduce calls to FileSystem.match and API calls in FileSystem._list
[noreply] Capture full response context to provide complete error information
[noreply] Pandas 1.5 support (#23973)
------------------------------------------
[...truncated 427.14 KB...]
Successfully started process 'Gradle Test Executor 2'
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
STANDARD_ERROR
SLF4J: Class path contains multiple SLF4J bindings.
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-2.45.0-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-simple/1.7.30/e606eac955f55ecf1d8edcccba04eb8ac98088dd/slf4j-simple-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-reload4j/1.7.36/db708f7d959dee1857ac524636e85ecf2e1781c1/slf4j-reload4j-1.7.36.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: 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
Dec 02, 2022 2:45:31 AM org.apache.beam.runners.dataflow.DataflowRunner
validateSdkContainerImageOptions
WARNING: Prefer --sdkContainerImage over deprecated legacy option
--workerHarnessContainerImage.
Dec 02, 2022 2:45:32 AM
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Dec 02, 2022 2:45:33 AM org.apache.beam.runners.dataflow.DataflowRunner
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files
from the classpath: will stage 395 files. Enable logging at DEBUG level to see
which files will be staged.
Dec 02, 2022 2:45:36 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Dec 02, 2022 2:45:36 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Dec 02, 2022 2:45:37 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
Dec 02, 2022 2:45:37 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Dec 02, 2022 2:45:37 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Dec 02, 2022 2:45:38 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Dec 02, 2022 2:45:38 AM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@1299829127]. 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.sdk.util.Preconditions.checkStateNotNull(Preconditions.java:471)
at org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:284)
at
org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:115)
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:153)
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDefaultMethod STANDARD_ERROR
Dec 02, 2022 2:45:39 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Dec 02, 2022 2:45:39 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Dec 02, 2022 2:45:39 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
Dec 02, 2022 2:45:39 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Dec 02, 2022 2:45:39 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Dec 02, 2022 2:45:39 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Dec 02, 2022 2:45:39 AM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@765326134]. 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.sdk.util.Preconditions.checkStateNotNull(Preconditions.java:471)
at org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:284)
at
org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:115)
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:168)
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_ERROR
Dec 02, 2022 2:45:40 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Dec 02, 2022 2:45:40 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Dec 02, 2022 2:45:40 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
Dec 02, 2022 2:45:40 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Dec 02, 2022 2:45:40 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Dec 02, 2022 2:45:40 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]])
Dec 02, 2022 2:45:40 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'))>($5, 2)}, unsupported{}]])
Dec 02, 2022 2:45:40 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
buildIOReader
INFO: Pushing down the following filter: (type = 'story' OR type = 'job')
AND score > 2
Dec 02, 2022 2:45:41 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Dec 02, 2022 2:45:46 AM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 396 files from PipelineOptions.filesToStage to staging
location to prepare for execution.
Dec 02, 2022 2:45:46 AM
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes
forFileToStage
INFO: Staging custom dataflow-worker.jar as
beam-runners-google-cloud-dataflow-java-legacy-worker-2.45.0-SNAPSHOT-ZweCSXIFNS3bjV_ZnIgrpIRQDQtkpI0q13JBVnE9zjM.jar
Dec 02, 2022 2:45:46 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading /tmp/test6027941289830920646.zip to
gs://temp-storage-for-perf-tests/loadtests/staging/test-c-5EckapKS7BWUy7fJmi-oUMcmPEQ2dBoTIxZUcChFk.jar
Dec 02, 2022 2:45:46 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading /tmp/test4382487660722330625.zip to
gs://temp-storage-for-perf-tests/loadtests/staging/test-7RrnNIDaQU-RFeIOybzRuoIDVNUJXekl1kAO9yKCbKc.jar
Dec 02, 2022 2:45:46 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading
/home/jenkins/.gradle/caches/modules-2/files-2.1/com.fasterxml.jackson.dataformat/jackson-dataformat-xml/2.14.1/ccd98bd674080338a6ca4bcdd52be7fb465cec1d/jackson-dataformat-xml-2.14.1.jar
to
gs://temp-storage-for-perf-tests/loadtests/staging/jackson-dataformat-xml-2.14.1-kPphmcGUzzutWAc9OROz6KgS0GpdsW-qVUuhD12FlDY.jar
Dec 02, 2022 2:45:46 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading
/home/jenkins/.gradle/caches/modules-2/files-2.1/com.fasterxml.woodstox/woodstox-core/6.4.0/c47579857bbf12c85499f431d4ecf27d77976b7c/woodstox-core-6.4.0.jar
to
gs://temp-storage-for-perf-tests/loadtests/staging/woodstox-core-6.4.0-1uufL0AEmnqAi68R_7oHN2SOYv9S_eknHYCOXVeicnk.jar
Dec 02, 2022 2:45:46 AM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 392 files cached, 4 files newly uploaded in 0
seconds
Dec 02, 2022 2:45:46 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to
gs://temp-storage-for-perf-tests/loadtests/staging/
Dec 02, 2022 2:45:46 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <154656 bytes, hash
5a3a006e7eaf4474b8d263e01d8ff37d8fcfb7447c1ee72080e18513598570cd> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-WjoAbn6vRHS40mPgHY_zfY_Pt0R8HucggOGFE1mFcM0.pb
Dec 02, 2022 2:45:50 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource) as step s1
Dec 02, 2022 2:45:50 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
Dec 02, 2022 2:45:50 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s3
Dec 02, 2022 2:45:50 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.45.0-SNAPSHOT
Dec 02, 2022 2:45:51 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-01_18_45_50-15244754885343728681?project=apache-beam-testing
Dec 02, 2022 2:45:51 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-12-01_18_45_50-15244754885343728681
Dec 02, 2022 2:45:51 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel
--region=us-central1 2022-12-01_18_45_50-15244754885343728681
Dec 02, 2022 2:45:53 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-12-02T02:45:51.865Z: The requested max number of workers (5)
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
Dec 02, 2022 2:46:07 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:06.490Z: Worker configuration: e2-standard-2 in
us-central1-f.
Dec 02, 2022 2:46:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:07.524Z: Expanding CoGroupByKey operations into
optimizable parts.
Dec 02, 2022 2:46:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:07.563Z: Expanding GroupByKey operations into
optimizable parts.
Dec 02, 2022 2:46:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:07.591Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Dec 02, 2022 2:46:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:07.669Z: Fusing adjacent ParDo, Read, Write, and
Flatten operations
Dec 02, 2022 2:46:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:07.700Z: Fusing consumer
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)
Dec 02, 2022 2:46:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:07.734Z: Fusing consumer ParDo(TimeMonitor) into
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
Dec 02, 2022 2:46:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:08.091Z: Executing operation
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
Dec 02, 2022 2:46:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:08.170Z: Starting 5 workers in us-central1-f...
Dec 02, 2022 2:46:29 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:28.491Z: 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
Dec 02, 2022 2:46:50 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:46:50.177Z: Autoscaling: Raised the number of workers
to 5 based on the rate of progress in the currently running stage(s).
Dec 02, 2022 2:47:23 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:47:21.998Z: Workers have started successfully.
Dec 02, 2022 2:47:42 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:47:41.041Z: All workers have finished the startup
processes and began to receive work requests.
Dec 02, 2022 2:47:59 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:47:57.244Z: Finished operation
BeamPushDownIOSourceRel_272/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
Dec 02, 2022 2:47:59 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:47:57.402Z: Cleaning up.
Dec 02, 2022 2:47:59 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:47:57.479Z: Stopping worker pool...
Dec 02, 2022 2:50:33 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:50:33.044Z: Autoscaling: Resized worker pool from 5 to
0.
Dec 02, 2022 2:50:35 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-12-02T02:50:33.151Z: Worker pool stopped.
Dec 02, 2022 2:50:40 AM
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-12-01_18_45_50-15244754885343728681 finished with status
DONE.
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_OUT
Load test results for test (ID): e5d8e37e-29a8-426d-87d3-84ad098d3a5a and
timestamp: 2022-12-02T02:50:40.389000000Z:
Metric: Value:
fields_read 4375276.0
read_time 8.009
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_ERROR
Dec 02, 2022 2:50:40 AM
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
WARNING: Missing setting InfluxDB 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 (0.023 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 (0.029 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,5,main]) completed. Took 5 mins 13.759 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.
* 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/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 6m 14s
171 actionable tasks: 107 executed, 62 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/72pkwsvdwpzby
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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