See
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/1657/display/redirect?page=changes>
Changes:
[Robert Bradshaw] Revert "Revert "[BEAM-2914] Add portable merging window
support to
[Robert Bradshaw] Use the windowing strategy of the input, not output,
PCollection of GBK.
[Robert Bradshaw] Improve test, error on ALREADY_MERGED.
[Kenneth Knowles] Fix compile breakage in WindmillStateInternals
[Kenneth Knowles] Fix checkstyle in watermark latency benchmark
[Kenneth Knowles] Remove InvalidWindows from Java SDK, instead track "already
merged" bit
------------------------------------------
[...truncated 381.59 KB...]
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethod STANDARD_ERROR
Feb 27, 2021 6:46:53 AM
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Feb 27, 2021 6:46:53 AM org.apache.beam.runners.dataflow.DataflowRunner
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files
from the classpath: will stage 232 files. Enable logging at DEBUG level to see
which files will be staged.
Feb 27, 2021 6:46:55 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 27, 2021 6:46:55 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 27, 2021 6:46:55 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 27, 2021 6:46:55 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 27, 2021 6:46:55 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 27, 2021 6:46:56 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Feb 27, 2021 6:46:56 AM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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@1692594302]. 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 27, 2021 6:46:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Feb 27, 2021 6:46:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 27, 2021 6:46:57 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 27, 2021 6:46:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DEFAULT
Feb 27, 2021 6:46:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 27, 2021 6:46:57 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')), >($5, 2))])
BeamIOSourceRel(table=[[beam, HACKER_NEWS]])
Feb 27, 2021 6:46:57 AM
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
INFO: BEAMPlan>
BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR],
expr#15=[=($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
> readUsingDefaultMethod FAILED
java.lang.IllegalStateException: Unable to return a default Coder for
BeamIOSourceRel_95/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output
[PCollection@147054510]. 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 27, 2021 6:46:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 27, 2021 6:46:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 27, 2021 6:46:57 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 27, 2021 6:46:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery method is set to: DIRECT_READ
Feb 27, 2021 6:46:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
Feb 27, 2021 6:46:57 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 27, 2021 6:46:57 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'))>($5, 2)}, unsupported{}]])
Feb 27, 2021 6:46:57 AM
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable
buildIOReader
INFO: Pushing down the following filter: (`type` = 'story' OR `type` =
'job') AND `score` > 2
Feb 27, 2021 6:46:59 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Feb 27, 2021 6:47:02 AM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 233 files from PipelineOptions.filesToStage to staging
location to prepare for execution.
Feb 27, 2021 6:47:02 AM
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes
forFileToStage
INFO: Staging custom dataflow-worker.jar as
beam-runners-google-cloud-dataflow-java-legacy-worker-2.29.0-SNAPSHOT-rdIJr38wbapgrD3CbjsutuHrMl8QkxkHps8qZ_sPE-I.jar
Feb 27, 2021 6:47:02 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading /tmp/test4974988615734768785.zip to
gs://temp-storage-for-perf-tests/loadtests/staging/test-ZBPfs0TWZl121Kf7eLzcmBlsGu5dO3F6cWsAoc_XZ3k.jar
Feb 27, 2021 6:47:02 AM 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/io/mongodb/build/libs/beam-sdks-java-io-mongodb-2.29.0-SNAPSHOT-tests.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-mongodb-2.29.0-SNAPSHOT-tests-rdKJA7Wmwi9a7jgGiN0baoVProLAHJd6ovKqJvglcRs.jar
Feb 27, 2021 6:47:02 AM 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/io/mongodb/build/libs/beam-sdks-java-io-mongodb-2.29.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-mongodb-2.29.0-SNAPSHOT-_JJiTBi7zwT8I7ibtN5MSd4X82UHni7hh881RLam8os.jar
Feb 27, 2021 6:47:02 AM 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/extensions/join-library/build/libs/beam-sdks-java-extensions-join-library-2.29.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-join-library-2.29.0-SNAPSHOT-12pFgkmGa1HY_oSdeop3KFJKdewQm-UFSy36bBpx5Y8.jar
Feb 27, 2021 6:47:02 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading
/home/jenkins/.gradle/caches/modules-2/files-2.1/com.google.cloud/google-cloud-bigtable-emulator/0.125.2/e2c4eccdc638e5883b658a222b99a318a817f3c6/google-cloud-bigtable-emulator-0.125.2.jar
to
gs://temp-storage-for-perf-tests/loadtests/staging/google-cloud-bigtable-emulator-0.125.2-FiUK-2Jw2KpBfAi4-J15Ft5rFwkLvGw0DsE7fz_A75M.jar
Feb 27, 2021 6:47:02 AM 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/extensions/sql/udf/build/libs/beam-sdks-java-extensions-sql-udf-2.29.0-SNAPSHOT.jar>
to
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-sql-udf-2.29.0-SNAPSHOT-yF7wMPQBNNC2EjVQrZ1_SpE6-49MS9akiXIsR2veALA.jar
Feb 27, 2021 6:47:04 AM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 227 files cached, 6 files newly uploaded in 2
seconds
Feb 27, 2021 6:47:04 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource) as step s1
Feb 27, 2021 6:47:04 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamPushDownIOSourceRel_229/ParDo(RowMonitor) as step s2
Feb 27, 2021 6:47:04 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding BeamCalcRel_285/ParDo(Calc) as step s3
Feb 27, 2021 6:47:04 AM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s4
Feb 27, 2021 6:47:04 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging pipeline description to
gs://temp-storage-for-perf-tests/loadtests/staging/
Feb 27, 2021 6:47:04 AM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <101892 bytes, hash
10aca950ae9e2424a67f16347eecae2f217a5bbdd8277a50af0cd81726a0a21a> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-EKypUK6eJCSmfxY0fuyuLyF6W73YJ3pQrwzYFyagoho.pb
Feb 27, 2021 6:47:05 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.29.0-SNAPSHOT
Feb 27, 2021 6:47:06 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-central1/2021-02-26_22_47_05-15518703736696686845?project=apache-beam-testing
Feb 27, 2021 6:47:06 AM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2021-02-26_22_47_05-15518703736696686845
Feb 27, 2021 6:47:06 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 2021-02-26_22_47_05-15518703736696686845
Feb 27, 2021 6:47:08 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2021-02-27T06:47:07.263Z: The requested max number of workers (5)
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
Feb 27, 2021 6:47:15 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:14.920Z: Worker configuration: n1-standard-1 in
us-central1-c.
Feb 27, 2021 6:47:18 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:15.553Z: Expanding CoGroupByKey operations into
optimizable parts.
Feb 27, 2021 6:47:18 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:15.587Z: Expanding GroupByKey operations into
optimizable parts.
Feb 27, 2021 6:47:18 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:15.624Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Feb 27, 2021 6:47:18 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:15.696Z: Fusing adjacent ParDo, Read, Write, and
Flatten operations
Feb 27, 2021 6:47:18 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:15.726Z: Fusing consumer
BeamPushDownIOSourceRel_229/ParDo(RowMonitor) into
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)
Feb 27, 2021 6:47:18 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:15.759Z: Fusing consumer BeamCalcRel_285/ParDo(Calc)
into BeamPushDownIOSourceRel_229/ParDo(RowMonitor)
Feb 27, 2021 6:47:18 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:15.812Z: Fusing consumer ParDo(TimeMonitor) into
BeamCalcRel_285/ParDo(Calc)
Feb 27, 2021 6:47:18 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:16.420Z: Executing operation
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
Feb 27, 2021 6:47:18 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:16.509Z: Starting 5 workers in us-central1-c...
Feb 27, 2021 6:47:47 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:46.512Z: 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 27, 2021 6:47:52 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:51.537Z: Autoscaling: Raised the number of workers
to 2 based on the rate of progress in the currently running stage(s).
Feb 27, 2021 6:47:52 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:47:51.566Z: Resized worker pool to 2, though goal was
5. This could be a quota issue.
Feb 27, 2021 6:48:02 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:48:01.895Z: Autoscaling: Raised the number of workers
to 5 based on the rate of progress in the currently running stage(s).
Feb 27, 2021 6:48:27 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:48:25.738Z: Workers have started successfully.
Feb 27, 2021 6:48:27 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:48:25.770Z: Workers have started successfully.
Feb 27, 2021 6:48:57 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:48:56.447Z: Finished operation
BeamPushDownIOSourceRel_229/Read Input BQ Rows with
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
Feb 27, 2021 6:48:57 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:48:56.833Z: Cleaning up.
Feb 27, 2021 6:48:57 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:48:57.082Z: Stopping worker pool...
Feb 27, 2021 6:49:44 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:49:43.108Z: Autoscaling: Resized worker pool from 5 to
0.
Feb 27, 2021 6:49:44 AM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2021-02-27T06:49:43.151Z: Worker pool stopped.
Feb 27, 2021 6:49:49 AM
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2021-02-26_22_47_05-15518703736696686845 finished with status
DONE.
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_OUT
Load test results for test (ID): 6e0c45e6-7e39-416b-8491-03994efb8718 and
timestamp: 2021-02-27T06:49:49.731000000Z:
Metric: Value:
read_time 12.96
fields_read 4375276.0
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT
> readUsingDirectReadMethodPushDown STANDARD_ERROR
Feb 27, 2021 6:49:50 AM
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
WARNING: Missing property -- measurement/database. Metrics won't be
published.
Gradle Test Executor 4 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 (0.03 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 2243 directories to track changes
Watching 2249 directories to track changes
Watching 2250 directories to track changes
:sdks:java:extensions:sql:perf-tests:integrationTest (Thread[Execution worker
for ':',5,main]) completed. Took 3 mins 1.871 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 34s
149 actionable tasks: 102 executed, 47 from cache
Watching 2250 directories to track changes
Publishing build scan...
https://gradle.com/s/zjsiyzw5mf5je
Stopped 3 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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