See
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/1648/display/redirect?page=changes>
Changes:
[tysonjh] [BEAM-11377] Fix retry & cleanup issues.
[nir.gzt] [BEAM-11859] Fixed bug in python S3 IO
[noreply] Merge pull request #14046 from [BEAM-11791] Adding a microbenchmark
for
[noreply] [BEAM-11344] Apply "Become a Committer" changes from Website Revamp
[noreply] [BEAM-10937] Add Tour of Beam page (#13747)
[Kenneth Knowles] Remove metadata-driven triggers from capability matrix,
because they do
[Kenneth Knowles] Remove retractions from capability matrix, because they do
not exist yet
[Kenneth Knowles] Remove JStorm runner from capability matrix, because it is on
a branch
[Kenneth Knowles] Remove MapReduce runner from capability matrix, because it is
on a
[Kenneth Knowles] Merge redundant model feature columns in capability matrix
[noreply] Merge pull request #14033 from [BEAM-11408] Integrate Python BigQuery
[Kenneth Knowles] Log a warning when Dataflow returns an unrecognized state
[Kenneth Knowles] Show string from Dataflow service when job terminates in
unrecognized
------------------------------------------
[...truncated 370.28 KB...]
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 25, 2021 1:00:56 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 25, 2021 1:00:56 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 25, 2021 1:00:57 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Feb 25, 2021 1:00:57 AM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@1634681245]. 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 25, 2021 1:00:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Feb 25, 2021 1:00:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 25, 2021 1:00:58 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 25, 2021 1:00:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Feb 25, 2021 1:00:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 25, 2021 1:00:58 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Feb 25, 2021 1:00:58 AM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@1759030043]. 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 25, 2021 1:00:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 25, 2021 1:00:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 25, 2021 1:00:58 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 25, 2021 1:00:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 25, 2021 1:00:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 25, 2021 1:00:58 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 25, 2021 1:00:58 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'))>($5, 2)}, unsupported{}]])
Feb 25, 2021 1:00:58 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
buildIOReader
INFO: Pushing down the following filter: (`type` = 'story' OR `type` =
'job') AND `score` > 2
Feb 25, 2021 1:01:00 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Feb 25, 2021 1:01:03 AM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 234 files from PipelineOptions.filesToStage to staging
location to prepare for execution.
Feb 25, 2021 1:01:03 AM
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes
forFileToStage
INFO: Staging custom dataflow-worker.jar as
beam-runners-google-cloud-dataflow-java-legacy-worker-2.29.0-SNAPSHOT-kK5p1eBR-Zg2ZKJNKP-mj4lCntlALVpZs6tqfp2aZT4.jar
Feb 25, 2021 1:01:03 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading /tmp/test1753559699204383048.zip to
gs://temp-storage-for-perf-tests/loadtests/staging/test-7iPuMN47VoHkzXFAfAyI8IvRrPQ4TGrAnNdjW1gho9s.jar
Feb 25, 2021 1:01:03 AM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 233 files cached, 1 files newly uploaded in 0
seconds
Feb 25, 2021 1:01:04 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource) as step s1
Feb 25, 2021 1:01:04 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_229/ParDo(RowMonitor) as step s2
Feb 25, 2021 1:01:04 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamCalcRel_285/ParDo(Calc) as step s3
Feb 25, 2021 1:01:04 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s4
Feb 25, 2021 1:01:04 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging pipeline description to
gs://temp-storage-for-perf-tests/loadtests/staging/
Feb 25, 2021 1:01:04 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <102229 bytes, hash
9824811840b89f48daaf2019f2fe594fb76fef2c88a1b8c8742ea7ec9bba8899> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-mCSBGEC4n0jaryAZ8v5ZT7dv7yyIobjIdC6n7Ju6iJk.pb
Feb 25, 2021 1:01:04 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.29.0-SNAPSHOT
Feb 25, 2021 1:01:05 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-central1/2021-02-24_17_01_04-14611957797276977251?project=apache-beam-testing
Feb 25, 2021 1:01:05 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2021-02-24_17_01_04-14611957797276977251
Feb 25, 2021 1:01:05 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 2021-02-24_17_01_04-14611957797276977251
Feb 25, 2021 1:01:06 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:06 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:08 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:08 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:09 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2021-02-25T01:01:08.068Z: The requested max number of workers (5)
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
Feb 25, 2021 1:01:11 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:11 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:12 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:12 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:15 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:15 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil toState
WARNING: Unrecognized state from Dataflow service: JOB_STATE_PENDING. This
is likely due to using an older version of Beam.
Feb 25, 2021 1:01:15 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:14.649Z: Worker configuration: n1-standard-1 in
us-central1-c.
Feb 25, 2021 1:01:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:15.366Z: Expanding CoGroupByKey operations into
optimizable parts.
Feb 25, 2021 1:01:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:15.409Z: Expanding GroupByKey operations into
optimizable parts.
Feb 25, 2021 1:01:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:15.441Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Feb 25, 2021 1:01:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:15.525Z: Fusing adjacent ParDo, Read, Write, and
Flatten operations
Feb 25, 2021 1:01:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:15.549Z: Fusing consumer
BeamPushDownIOSourceRel_229/ParDo(RowMonitor) into
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)
Feb 25, 2021 1:01:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:15.585Z: Fusing consumer BeamCalcRel_285/ParDo(Calc)
into BeamPushDownIOSourceRel_229/ParDo(RowMonitor)
Feb 25, 2021 1:01:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:15.617Z: Fusing consumer ParDo(TimeMonitor) into
BeamCalcRel_285/ParDo(Calc)
Feb 25, 2021 1:01:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:15.999Z: Executing operation
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
Feb 25, 2021 1:01:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:16.083Z: Starting 5 workers in us-central1-c...
Feb 25, 2021 1:01:45 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:42.552Z: Autoscaling: Raised the number of workers
to 1 based on the rate of progress in the currently running stage(s).
Feb 25, 2021 1:01:45 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:42.603Z: Resized worker pool to 1, though goal was
5. This could be a quota issue.
Feb 25, 2021 1:01:50 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:49.578Z: 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 25, 2021 1:01:54 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:01:52.888Z: Autoscaling: Raised the number of workers
to 5 based on the rate of progress in the currently running stage(s).
Feb 25, 2021 1:02:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:02:15.882Z: Workers have started successfully.
Feb 25, 2021 1:02:16 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:02:15.921Z: Workers have started successfully.
Feb 25, 2021 1:02:56 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:02:55.628Z: Finished operation
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
Feb 25, 2021 1:02:56 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:02:55.794Z: Cleaning up.
Feb 25, 2021 1:02:56 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:02:55.873Z: Stopping worker pool...
Feb 25, 2021 1:03:50 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:03:49.774Z: Autoscaling: Resized worker pool from 5 to
0.
Feb 25, 2021 1:03:50 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-25T01:03:49.824Z: Worker pool stopped.
Feb 25, 2021 1:03:57 AM
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2021-02-24_17_01_04-14611957797276977251 finished with status
DONE.
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_OUT
Load test results for test (ID): b7d70c5c-d39a-4bb8-ac5f-369e7c224a09 and
timestamp: 2021-02-25T01:03:57.986000000Z:
Metric: Value:
read_time 20.136
fields_read 4375276.0
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_ERROR
Feb 25, 2021 1:03:58 AM
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 (0.029 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 (0.033 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 3 mins 8.593 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 5m 21s
149 actionable tasks: 97 executed, 52 from cache
Gradle was unable to watch the file system for changes. The inotify watches
limit is too low.
Publishing build scan...
https://gradle.com/s/2a3xdsru7cwom
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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