See 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/2629/display/redirect?page=changes>

Changes:

[heejong] [BEAM-13021] Deduplicate Python artifact not only by hash but also by

[heejong] add test

[heejong] rename variables

[Luke Cwik] [BEAM-3811] Code clean-up of the CancelleableQueue to not throw

[heejong] rearrange comparison order

[Luke Cwik] [BEAM-13164] Address most of a race condition between instantiation 
and

[Robert Bradshaw] Defer filesToStage construction until after full jar 
resolution.

[heejong] s/pathes/paths/

[noreply] Merge pull request #15835: [BEAM-11205] Google Libraries BOM 24.0.0 
and

[noreply] Merge pull request #15810: [BEAM-2791] Support low-latency StorageApi


------------------------------------------
[...truncated 364.95 KB...]
Successfully started process 'Gradle Test Executor 5'

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-2.35.0-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
    Nov 04, 2021 7:02:38 PM org.apache.beam.runners.dataflow.DataflowRunner 
validateSdkContainerImageOptions
    WARNING: Prefer --sdkContainerImage over deprecated legacy option 
--workerHarnessContainerImage.
    Nov 04, 2021 7:02:39 PM 
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
 create
    INFO: No stagingLocation provided, falling back to gcpTempLocation
    Nov 04, 2021 7:02:40 PM org.apache.beam.runners.dataflow.DataflowRunner 
fromOptions
    INFO: PipelineOptions.filesToStage was not specified. Defaulting to files 
from the classpath: will stage 251 files. Enable logging at DEBUG level to see 
which files will be staged.
    Nov 04, 2021 7:02:42 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Nov 04, 2021 7:02:42 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 04, 2021 7:02:43 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
    Nov 04, 2021 7:02:43 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Nov 04, 2021 7:02:43 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 04, 2021 7:02:44 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]])

    Nov 04, 2021 7:02:44 PM 
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: BEAMPlan>
    BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], 
expr#15=[=($t8, $t14)], expr#16=['job':VARCHAR], expr#17=[=($t8, $t16)], 
expr#18=[OR($t15, $t17)], expr#19=[2], expr#20=[>($t5, $t19)], 
expr#21=[AND($t18, $t20)], author=[$t4], type=[$t8], title=[$t0], score=[$t5], 
$condition=[$t21])
      BeamIOSourceRel(table=[[beam, HACKER_NEWS]])


org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethod FAILED
    java.lang.IllegalStateException: Unable to return a default Coder for 
BeamIOSourceRel_4/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output 
[PCollection@1498106782]. Correct one of the following root causes:
      No Coder has been manually specified;  you may do so using .setCoder().
      Inferring a Coder from the CoderRegistry failed: Cannot provide a coder 
for a Beam Row. Please provide a schema instead using PCollection.setRowSchema.
      Using the default output Coder from the producing PTransform failed: 
PTransform.getOutputCoder called.
        at 
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:507)
        at org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:286)
        at 
org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:117)
        at 
org.apache.beam.sdk.runners.TransformHierarchy.finishSpecifyingInput(TransformHierarchy.java:154)
        at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:547)
        at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:499)
        at 
org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:84)
        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
    Nov 04, 2021 7:02:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Nov 04, 2021 7:02:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 04, 2021 7:02:45 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
    Nov 04, 2021 7:02:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Nov 04, 2021 7:02:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 04, 2021 7:02:45 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]])

    Nov 04, 2021 7:02:45 PM 
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: BEAMPlan>
    BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], 
expr#15=[=($t8, $t14)], expr#16=['job':VARCHAR], expr#17=[=($t8, $t16)], 
expr#18=[OR($t15, $t17)], expr#19=[2], expr#20=[>($t5, $t19)], 
expr#21=[AND($t18, $t20)], author=[$t4], type=[$t8], title=[$t0], score=[$t5], 
$condition=[$t21])
      BeamIOSourceRel(table=[[beam, HACKER_NEWS]])


org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDefaultMethod FAILED
    java.lang.IllegalStateException: Unable to return a default Coder for 
BeamIOSourceRel_118/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output 
[PCollection@177135030]. Correct one of the following root causes:
      No Coder has been manually specified;  you may do so using .setCoder().
      Inferring a Coder from the CoderRegistry failed: Cannot provide a coder 
for a Beam Row. Please provide a schema instead using PCollection.setRowSchema.
      Using the default output Coder from the producing PTransform failed: 
PTransform.getOutputCoder called.
        at 
org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:507)
        at org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:286)
        at 
org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:117)
        at 
org.apache.beam.sdk.runners.TransformHierarchy.finishSpecifyingInput(TransformHierarchy.java:154)
        at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:547)
        at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:499)
        at 
org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:84)
        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
    Nov 04, 2021 7:02:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Nov 04, 2021 7:02:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 04, 2021 7:02:45 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
    Nov 04, 2021 7:02:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Nov 04, 2021 7:02:45 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Nov 04, 2021 7:02:45 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]])

    Nov 04, 2021 7:02:46 PM 
org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel
    INFO: BEAMPlan>
    BeamPushDownIOSourceRel(table=[[beam, HACKER_NEWS]], usedFields=[[by, type, 
title, score]], BigQueryFilter=[[supported{OR(=($8, 'story'), =($8, 
'job'))>($5, 2)}, unsupported{}]])

    Nov 04, 2021 7:02:46 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
    Nov 04, 2021 7:02:46 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.
    Nov 04, 2021 7:02:50 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Uploading 252 files from PipelineOptions.filesToStage to staging 
location to prepare for execution.
    Nov 04, 2021 7:02:50 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-2.35.0-SNAPSHOT-v2JS2V2dkj3qXLhVK9Ul4OJ6GeVQ5jMoiZR6oWBlpdY.jar
    Nov 04, 2021 7:02:51 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test1899797537501590485.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-LJ-awOhJkzjtCzw4UWvyoIMJAvc6BgLNZq68mAh2154.jar
    Nov 04, 2021 7:02:51 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/io/mongodb/build/libs/beam-sdks-java-io-mongodb-2.35.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-mongodb-2.35.0-SNAPSHOT-nJooQBOmf91zLQQ9Mr-Fe3ZJqjZmeXLkGPCYKyE5Yao.jar
    Nov 04, 2021 7:02:51 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/runners/google-cloud-dataflow-java/worker/legacy-worker/build/libs/beam-runners-google-cloud-dataflow-java-legacy-worker-2.35.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-runners-google-cloud-dataflow-java-legacy-worker-2.35.0-SNAPSHOT-v2JS2V2dkj3qXLhVK9Ul4OJ6GeVQ5jMoiZR6oWBlpdY.jar
    Nov 04, 2021 7:02:51 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/extensions/sql/build/libs/beam-sdks-java-extensions-sql-2.35.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-sql-2.35.0-SNAPSHOT-CXmhBqVNRgN9JeVGND8HiM9U1nK4J3vmCy9aZEhaMO8.jar
    Nov 04, 2021 7:02:51 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/runners/direct-java/build/libs/beam-runners-direct-java-2.35.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-runners-direct-java-2.35.0-SNAPSHOT-AkxsV76KCMJ8p8C1LGEqi6WpIkQaUBjEgsky3XdG3fE.jar
    Nov 04, 2021 7:02:51 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/fn-execution/build/libs/beam-sdks-java-fn-execution-2.35.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-fn-execution-2.35.0-SNAPSHOT-HYzqwQ1YSAkUl93DJuIXInSZPmueTA0DKYvs5us5hAs.jar
    Nov 04, 2021 7:02:51 PM 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/0.137.1/b1639aa134de1302e43d9e9c3843f6ff853c510f/google-cloud-bigtable-emulator-0.137.1.jar
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/google-cloud-bigtable-emulator-0.137.1-V2SlLU4BjIGf5QoF7YL-A-QNjw49NdXrNM4QoX9MXSI.jar
    Nov 04, 2021 7:02:53 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Staging files complete: 245 files cached, 7 files newly uploaded in 2 
seconds
    Nov 04, 2021 7:02:53 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Staging portable pipeline proto to 
gs://temp-storage-for-perf-tests/loadtests/staging/
    Nov 04, 2021 7:02:53 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading <105620 bytes, hash 
7b297d664406f46926f0cab963be77fa45c2cb205542ee4c9a8b38a6e5e9c871> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-eyl9ZkQG9Gkm8Mq5Y753-kXCyyBVQu5Mmos4puXpyHE.pb
    Nov 04, 2021 7:02:55 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource) as step s1
    Nov 04, 2021 7:02:56 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
    Nov 04, 2021 7:02:56 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding ParDo(TimeMonitor) as step s3
    Nov 04, 2021 7:02:56 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Dataflow SDK version: 2.35.0-SNAPSHOT
    Nov 04, 2021 7:02:56 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-central1/2021-11-04_12_02_56-14662661296618491196?project=apache-beam-testing
    Nov 04, 2021 7:02:56 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Submitted job: 2021-11-04_12_02_56-14662661296618491196
    Nov 04, 2021 7:02:56 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 2021-11-04_12_02_56-14662661296618491196
    Nov 04, 2021 7:03:04 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2021-11-04T19:03:01.678Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Nov 04, 2021 7:03:09 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:09.206Z: Worker configuration: e2-standard-2 in 
us-central1-c.
    Nov 04, 2021 7:03:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:09.959Z: Expanding CoGroupByKey operations into 
optimizable parts.
    Nov 04, 2021 7:03:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:09.993Z: Expanding GroupByKey operations into 
optimizable parts.
    Nov 04, 2021 7:03:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:10.019Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
    Nov 04, 2021 7:03:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:10.106Z: Fusing adjacent ParDo, Read, Write, and 
Flatten operations
    Nov 04, 2021 7:03:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:10.140Z: Fusing consumer 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)
    Nov 04, 2021 7:03:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:10.175Z: Fusing consumer ParDo(TimeMonitor) into 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
    Nov 04, 2021 7:03:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:10.515Z: Executing operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Nov 04, 2021 7:03:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:10.587Z: Starting 5 workers in us-central1-c...
    Nov 04, 2021 7:03:24 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:23.599Z: Your project already contains 100 
Dataflow-created metric descriptors, so new user metrics of the form 
custom.googleapis.com/* will not be created. However, all user metrics are also 
available in the metric dataflow.googleapis.com/job/user_counter. If you rely 
on the custom metrics, you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
    Nov 04, 2021 7:03:55 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:03:55.208Z: Autoscaling: Raised the number of workers 
to 5 based on the rate of progress in the currently running stage(s).
    Nov 04, 2021 7:04:21 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:04:20.033Z: Workers have started successfully.
    Nov 04, 2021 7:04:21 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:04:20.073Z: Workers have started successfully.
    Nov 04, 2021 7:04:51 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:04:51.241Z: Finished operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Nov 04, 2021 7:04:51 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:04:51.429Z: Cleaning up.
    Nov 04, 2021 7:04:51 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:04:51.518Z: Stopping worker pool...
    Nov 04, 2021 7:07:15 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:07:14.329Z: Autoscaling: Resized worker pool from 5 to 
0.
    Nov 04, 2021 7:07:15 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2021-11-04T19:07:14.370Z: Worker pool stopped.
    Nov 04, 2021 7:07:21 PM 
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2021-11-04_12_02_56-14662661296618491196 finished with status 
DONE.

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_OUT
    Load test results for test (ID): 93a54046-1295-4a6d-a257-8ae0c726701b and 
timestamp: 2021-11-04T19:07:21.624000000Z:
                     Metric:                    Value:
                 fields_read                 4375276.0
                   read_time                     8.858

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_ERROR
    Nov 04, 2021 7:07:21 PM 
org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck
    WARNING: Missing property -- measurement/database. Metrics won't be 
published.

Gradle Test Executor 5 finished executing tests.

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

3 tests completed, 2 failed
Finished generating test XML results (0.024 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 
for ':',5,main]) completed. Took 4 mins 46.807 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/6.9.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 14m 4s
152 actionable tasks: 122 executed, 30 from cache

Publishing build scan...
https://gradle.com/s/df3l5rwzhpgzg

Stopped 4 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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