See 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/1347/display/redirect?page=changes>

Changes:

[zyichi] [BEAM-9602] Add timer family support for python SDK

[aromanenko.dev] Serialize AwsCredentialsProvider for AWS SDK v2 IO connectors

[noreply] [BEAM-11439] Fix Snowflake streaming docs (#13528)


------------------------------------------
[...truncated 370.22 KB...]
Watching 2171 directories to track changes
Starting process 'Gradle Test Executor 1'. Working directory: 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/extensions/sql/perf-tests>
 Command: /usr/lib/jvm/java-8-openjdk-amd64/bin/java 
-DbeamTestPipelineOptions=["--project=apache-beam-testing","--tempLocation=gs://temp-storage-for-perf-tests/loadtests","--tempRoot=gs://temp-storage-for-perf-tests/loadtests","--metricsBigQueryDataset=beam_performance","--metricsBigQueryTable=sql_bqio_read_java_batch","--runner=DataflowRunner","--maxNumWorkers=5","--numWorkers=5","--autoscalingAlgorithm=NONE","--workerHarnessContainerImage=","--dataflowWorkerJar=<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-2.27.0-SNAPSHOT.jar","--region=us-central1";]>
 
-Djava.security.manager=worker.org.gradle.process.internal.worker.child.BootstrapSecurityManager
 -Dorg.gradle.native=false -Xmx2g -Dfile.encoding=UTF-8 -Duser.country=US 
-Duser.language=en -Duser.variant -ea -cp 
/home/jenkins/.gradle/caches/6.7/workerMain/gradle-worker.jar 
worker.org.gradle.process.internal.worker.GradleWorkerMain 'Gradle Test 
Executor 1'
Successfully started process 'Gradle Test Executor 1'

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-2.27.0-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: 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 11, 2020 6:45:04 PM 
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
 create
    INFO: No stagingLocation provided, falling back to gcpTempLocation
    Dec 11, 2020 6:45:04 PM org.apache.beam.runners.dataflow.DataflowRunner 
fromOptions
    INFO: PipelineOptions.filesToStage was not specified. Defaulting to files 
from the classpath: will stage 227 files. Enable logging at DEBUG level to see 
which files will be staged.
    Dec 11, 2020 6:45:06 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Dec 11, 2020 6:45:06 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 11, 2020 6:45:06 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
    Dec 11, 2020 6:45:06 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Dec 11, 2020 6:45:06 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 11, 2020 6:45:07 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]])

    Dec 11, 2020 6:45:07 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_3/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output 
[PCollection@653950638]. 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
    Dec 11, 2020 6:45:08 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Dec 11, 2020 6:45:08 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 11, 2020 6:45:08 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
    Dec 11, 2020 6:45:08 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Dec 11, 2020 6:45:08 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 11, 2020 6:45:08 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]])

    Dec 11, 2020 6:45:08 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_95/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output 
[PCollection@92735026]. 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
    Dec 11, 2020 6:45:08 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Dec 11, 2020 6:45:08 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 11, 2020 6:45:08 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
    Dec 11, 2020 6:45:08 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Dec 11, 2020 6:45:08 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Dec 11, 2020 6:45:08 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]])

    Dec 11, 2020 6:45:08 PM 
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{}]])

    Dec 11, 2020 6:45:08 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
    Dec 11, 2020 6:45:10 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.
    Dec 11, 2020 6:45:12 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Uploading 228 files from PipelineOptions.filesToStage to staging 
location to prepare for execution.
    Dec 11, 2020 6:45:12 PM 
org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes 
forFileToStage
    INFO: Staging custom dataflow-worker.jar as 
beam-runners-google-cloud-dataflow-java-legacy-worker-2.27.0-SNAPSHOT-aRkJ714uhqYJPXqEQD7Z4RACkFZQtyM-YdVIXzt8pTs.jar
    Dec 11, 2020 6:45:12 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test5860282360112981847.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-VFyyqA0Uy6jTcs_s41kDySW0xOvUH_e9IKU5m5g6a1c.jar
    Dec 11, 2020 6:45:12 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/core/build/libs/beam-sdks-java-core-2.27.0-SNAPSHOT-unshaded.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-core-2.27.0-SNAPSHOT-unshaded-3uq5UMa44zyRSqa_Rjugjujp_-TP-heyJozQ5gFJjWo.jar
    Dec 11, 2020 6:45:12 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/core/build/libs/beam-sdks-java-core-2.27.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-core-2.27.0-SNAPSHOT-lk5WjA9CAQoy7hpUzm9Isx9ivvlVsDqoITFQgpL3Khc.jar
    Dec 11, 2020 6:45:13 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Staging files complete: 225 files cached, 3 files newly uploaded in 0 
seconds
    Dec 11, 2020 6:45:13 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_229/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource) as step s1
    Dec 11, 2020 6:45:13 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_229/ParDo(RowMonitor) as step s2
    Dec 11, 2020 6:45:13 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamCalcRel_285/ParDo(Calc) as step s3
    Dec 11, 2020 6:45:13 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding ParDo(TimeMonitor) as step s4
    Dec 11, 2020 6:45:13 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Staging pipeline description to 
gs://temp-storage-for-perf-tests/loadtests/staging/
    Dec 11, 2020 6:45:13 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading <99779 bytes, hash 
e792cad032b3d8adc4e94a9587671ad4ed85ae34515443b9a77eeb054fcb3143> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-55LK0DKz2K3E6UqVh2ca1O2FrjRRVEO5p37rBU_LMUM.pb
    Dec 11, 2020 6:45:13 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Dataflow SDK version: 2.27.0-SNAPSHOT
    Dec 11, 2020 6:45:15 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: To access the Dataflow monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-12-11_10_45_13-5385630088933308438?project=apache-beam-testing
    Dec 11, 2020 6:45:15 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Submitted job: 2020-12-11_10_45_13-5385630088933308438
    Dec 11, 2020 6:45:15 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: To cancel the job using the 'gcloud' tool, run:
    > gcloud dataflow jobs --project=apache-beam-testing cancel 
--region=us-central1 2020-12-11_10_45_13-5385630088933308438
    Dec 11, 2020 6:45:15 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2020-12-11T18:45:13.918Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Dec 11, 2020 6:45:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:23.010Z: Worker configuration: n1-standard-1 in 
us-central1-f.
    Dec 11, 2020 6:45:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:23.934Z: Expanding CoGroupByKey operations into 
optimizable parts.
    Dec 11, 2020 6:45:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:23.977Z: Expanding GroupByKey operations into 
optimizable parts.
    Dec 11, 2020 6:45:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:24.007Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
    Dec 11, 2020 6:45:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:24.088Z: Fusing adjacent ParDo, Read, Write, and 
Flatten operations
    Dec 11, 2020 6:45:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:24.130Z: Fusing consumer 
BeamPushDownIOSourceRel_229/ParDo(RowMonitor) into 
BeamPushDownIOSourceRel_229/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)
    Dec 11, 2020 6:45:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:24.170Z: Fusing consumer BeamCalcRel_285/ParDo(Calc) 
into BeamPushDownIOSourceRel_229/ParDo(RowMonitor)
    Dec 11, 2020 6:45:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:24.218Z: Fusing consumer ParDo(TimeMonitor) into 
BeamCalcRel_285/ParDo(Calc)
    Dec 11, 2020 6:45:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:24.660Z: Executing operation 
BeamPushDownIOSourceRel_229/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
    Dec 11, 2020 6:45:27 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:24.802Z: Starting 5 workers in us-central1-f...
    Dec 11, 2020 6:45:48 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:45:46.292Z: Your project already contains 100 
Dataflow-created metric descriptors, so new user metrics of the form 
custom.googleapis.com/* will not be created. However, all user metrics are also 
available in the metric dataflow.googleapis.com/job/user_counter. If you rely 
on the custom metrics, you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
    Dec 11, 2020 6:46:02 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:46:01.620Z: Autoscaling: Raised the number of workers 
to 5 based on the rate of progress in the currently running stage(s).
    Dec 11, 2020 6:46:14 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:46:13.204Z: Workers have started successfully.
    Dec 11, 2020 6:46:14 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:46:13.289Z: Workers have started successfully.
    Dec 11, 2020 6:46:53 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:46:53.114Z: Finished operation 
BeamPushDownIOSourceRel_229/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor)
    Dec 11, 2020 6:46:53 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:46:53.265Z: Cleaning up.
    Dec 11, 2020 6:46:53 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:46:53.352Z: Stopping worker pool...
    Dec 11, 2020 6:47:42 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:47:41.586Z: Autoscaling: Resized worker pool from 5 to 
0.
    Dec 11, 2020 6:47:42 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2020-12-11T18:47:41.634Z: Worker pool stopped.
    Dec 11, 2020 6:47:48 PM 
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2020-12-11_10_45_13-5385630088933308438 finished with status DONE.

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_OUT
    Load test results for test (ID): 82bf7c63-7f8e-4e5c-a229-727259369036 and 
timestamp: 2020-12-11T18:47:48.240000000Z:
                     Metric:                    Value:
                   read_time                    21.044
                 fields_read                 4375276.0

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_ERROR
    Dec 11, 2020 6:47:48 PM 
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
    WARNING: Missing property -- measurement/database. Metrics won't be 
published.

Gradle Test Executor 1 finished executing tests.

> Task :sdks:java:extensions:sql:perf-tests:integrationTest FAILED

3 tests completed, 2 failed
Finished generating test XML results (0.022 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 2173 directories to track changes
Watching 2179 directories to track changes
Watching 2180 directories to track changes
:sdks:java:extensions:sql:perf-tests:integrationTest (Thread[Execution worker 
for ':' Thread 8,5,main]) completed. Took 2 mins 48.698 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/6.7/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 3m 26s
139 actionable tasks: 88 executed, 51 from cache
Watching 2180 directories to track changes

Publishing build scan...
https://gradle.com/s/zua2oveybcw3c

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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