See 
<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/3234/display/redirect>

Changes:


------------------------------------------
[...truncated 353.86 KB...]
    Apr 07, 2022 2:45:15 PM 
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
 create
    INFO: No stagingLocation provided, falling back to gcpTempLocation
    Apr 07, 2022 2:45:16 PM org.apache.beam.runners.dataflow.DataflowRunner 
fromOptions
    INFO: PipelineOptions.filesToStage was not specified. Defaulting to files 
from the classpath: will stage 372 files. Enable logging at DEBUG level to see 
which files will be staged.
    Apr 07, 2022 2:45:19 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Apr 07, 2022 2:45:19 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Apr 07, 2022 2:45:20 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
    Apr 07, 2022 2:45:20 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Apr 07, 2022 2:45:20 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Apr 07, 2022 2:45:20 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]])

    Apr 07, 2022 2:45:21 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@204534381]. 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:106)
        at 
org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:48)
        at 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT.readUsingDirectReadMethod(BigQueryIOPushDownIT.java:150)

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDefaultMethod STANDARD_ERROR
    Apr 07, 2022 2:45:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Apr 07, 2022 2:45:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Apr 07, 2022 2:45:21 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
    Apr 07, 2022 2:45:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DEFAULT
    Apr 07, 2022 2:45:21 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Apr 07, 2022 2:45:21 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]])

    Apr 07, 2022 2:45:21 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@1308823531]. 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:106)
        at 
org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:48)
        at 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT.readUsingDefaultMethod(BigQueryIOPushDownIT.java:163)

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_ERROR
    Apr 07, 2022 2:45:22 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Apr 07, 2022 2:45:22 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Apr 07, 2022 2:45:22 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
    Apr 07, 2022 2:45:22 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery method is set to: DIRECT_READ
    Apr 07, 2022 2:45:22 PM 
org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init>
    INFO: BigQuery writeDisposition is set to: WRITE_EMPTY
    Apr 07, 2022 2:45:22 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]])

    Apr 07, 2022 2:45:22 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{}]])

    Apr 07, 2022 2:45:22 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
    Apr 07, 2022 2:45:22 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.
    Apr 07, 2022 2:45:28 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Uploading 373 files from PipelineOptions.filesToStage to staging 
location to prepare for execution.
    Apr 07, 2022 2:45:28 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-2.39.0-SNAPSHOT-dJhYPlEjn6cj08RatiI1nim49fxmn-ILQNN3LinXLv0.jar
    Apr 07, 2022 2:45:28 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/thrift/build/libs/beam-sdks-java-io-thrift-2.39.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-thrift-2.39.0-SNAPSHOT-Tl-rqROyfFjUbm1pi2LQ2tdsZFwawXrRlgBoBaQ0-f4.jar
    Apr 07, 2022 2:45:28 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading 
/home/jenkins/.gradle/caches/7.3.2/workerMain/gradle-worker.jar to 
gs://temp-storage-for-perf-tests/loadtests/staging/gradle-worker-NW0H_PrNLIVJt09w3Gd52J_pt5glcgqx7QhmmZqFVro.jar
    Apr 07, 2022 2:45:28 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/thrift/build/libs/beam-sdks-java-io-thrift-2.39.0-SNAPSHOT-tests.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-thrift-2.39.0-SNAPSHOT-tests-WW_qh_qZ0OtxNK1HIZTckB7QnP0NV0saj8TCBpbuXbM.jar
    Apr 07, 2022 2:45:28 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading /tmp/test1186993431397426602.zip to 
gs://temp-storage-for-perf-tests/loadtests/staging/test-3Z7zzKNNzKvc_oXsJn3Y3NtRLPX2aX3UjzYxPdX3h6w.jar
    Apr 07, 2022 2:45:28 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-2.39.0-SNAPSHOT-tests.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-mongodb-2.39.0-SNAPSHOT-tests-9waRkOC4eM0X7ABYrPq1tRErTw5OgxB_aYDH-VkPcDE.jar
    Apr 07, 2022 2:45:28 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-2.39.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-mongodb-2.39.0-SNAPSHOT-i7pElF84iEW2UZTARBR94qT8U16Uo6ibvWvBHARZfIE.jar
    Apr 07, 2022 2:45:28 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/hadoop-common/build/libs/beam-sdks-java-io-hadoop-common-2.39.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-hadoop-common-2.39.0-SNAPSHOT--Z7FaTJuLSyiPWeUL9VxAgqy53Gn2R4elBkiZEpHHyU.jar
    Apr 07, 2022 2:45:28 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/join-library/build/libs/beam-sdks-java-extensions-join-library-2.39.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-join-library-2.39.0-SNAPSHOT-xz-aSlhizJi8jigGo3amZ2g_MkglE3dBulicsi2UX5U.jar
    Apr 07, 2022 2:45:28 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/parquet/build/libs/beam-sdks-java-io-parquet-2.39.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-io-parquet-2.39.0-SNAPSHOT--Y3Ki6BsSIhDqZLGsTPV4L2LNYlAKfQgFkOYYPov-fs.jar
    Apr 07, 2022 2:45:28 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/udf/build/libs/beam-sdks-java-extensions-sql-udf-2.39.0-SNAPSHOT.jar>
 to 
gs://temp-storage-for-perf-tests/loadtests/staging/beam-sdks-java-extensions-sql-udf-2.39.0-SNAPSHOT-MlQQAS1Je1cH4lXtIOKM3zL6o97S5F7sJQ3zUailw08.jar
    Apr 07, 2022 2:45:28 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
    INFO: Staging files complete: 363 files cached, 10 files newly uploaded in 
0 seconds
    Apr 07, 2022 2:45:28 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Staging portable pipeline proto to 
gs://temp-storage-for-perf-tests/loadtests/staging/
    Apr 07, 2022 2:45:28 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
    INFO: Uploading <146627 bytes, hash 
882de27585cef0a96bfc31b079d5933608b6c33186a122ef6855ebcd0b8c696b> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-iC3idYXO8Klr_DGwedWTNgi2wzGGoSLvaFXrzQuMaWs.pb
    Apr 07, 2022 2:45:32 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
    Apr 07, 2022 2:45:32 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2
    Apr 07, 2022 2:45:32 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
    INFO: Adding ParDo(TimeMonitor) as step s3
    Apr 07, 2022 2:45:32 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Dataflow SDK version: 2.39.0-SNAPSHOT
    Apr 07, 2022 2:45:33 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-central1/2022-04-07_07_45_32-1075514458674001953?project=apache-beam-testing
    Apr 07, 2022 2:45:33 PM org.apache.beam.runners.dataflow.DataflowRunner run
    INFO: Submitted job: 2022-04-07_07_45_32-1075514458674001953
    Apr 07, 2022 2:45:33 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 2022-04-07_07_45_32-1075514458674001953
    Apr 07, 2022 2:45:39 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    WARNING: 2022-04-07T14:45:33.583Z: The requested max number of workers (5) 
is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE).
    Apr 07, 2022 2:45:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:45:48.758Z: Worker configuration: e2-standard-2 in 
us-central1-a.
    Apr 07, 2022 2:45:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:45:49.624Z: Expanding CoGroupByKey operations into 
optimizable parts.
    Apr 07, 2022 2:45:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:45:49.710Z: Expanding GroupByKey operations into 
optimizable parts.
    Apr 07, 2022 2:45:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:45:49.817Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
    Apr 07, 2022 2:45:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:45:49.887Z: Fusing adjacent ParDo, Read, Write, and 
Flatten operations
    Apr 07, 2022 2:45:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:45:49.921Z: Fusing consumer 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)
    Apr 07, 2022 2:45:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:45:49.954Z: Fusing consumer ParDo(TimeMonitor) into 
BeamPushDownIOSourceRel_272/ParDo(RowMonitor)
    Apr 07, 2022 2:45:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:45:50.316Z: Executing operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Apr 07, 2022 2:45:50 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:45:50.388Z: Starting 5 workers in us-central1-a...
    Apr 07, 2022 2:46:04 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:46:02.543Z: Your project already contains 100 
Dataflow-created metric descriptors, so new user metrics of the form 
custom.googleapis.com/* will not be created. However, all user metrics are also 
available in the metric dataflow.googleapis.com/job/user_counter. If you rely 
on the custom metrics, you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
    Apr 07, 2022 2:46:25 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:46:23.724Z: Autoscaling: Raised the number of workers 
to 1 based on the rate of progress in the currently running stage(s).
    Apr 07, 2022 2:46:25 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:46:23.750Z: Resized worker pool to 1, though goal was 
5.  This could be a quota issue.
    Apr 07, 2022 2:46:34 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:46:33.924Z: Autoscaling: Raised the number of workers 
to 5 based on the rate of progress in the currently running stage(s).
    Apr 07, 2022 2:47:00 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:46:59.513Z: Workers have started successfully.
    Apr 07, 2022 2:47:27 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:47:26.398Z: Finished operation 
BeamPushDownIOSourceRel_272/Read Input BQ Rows with 
push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor)
    Apr 07, 2022 2:47:27 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:47:26.545Z: Cleaning up.
    Apr 07, 2022 2:47:27 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:47:26.654Z: Stopping worker pool...
    Apr 07, 2022 2:48:31 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:48:30.954Z: Autoscaling: Resized worker pool from 5 to 
0.
    Apr 07, 2022 2:48:31 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
    INFO: 2022-04-07T14:48:31.052Z: Worker pool stopped.
    Apr 07, 2022 2:48:44 PM 
org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
    INFO: Job 2022-04-07_07_45_32-1075514458674001953 finished with status DONE.

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_OUT
    Load test results for test (ID): 81ce3e27-4c92-42c7-a817-41b652f4218d and 
timestamp: 2022-04-07T14:48:44.284000000Z:
                     Metric:                    Value:
                   read_time                     6.063
                 fields_read                 4375276.0

org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT 
> readUsingDirectReadMethodPushDown STANDARD_ERROR
    Apr 07, 2022 2:48:44 PM 
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 (0.025 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 (0.032 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 9,5,main]) completed. Took 3 mins 32.988 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 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings 
and determine if they come from your own scripts or plugins.

See 
https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 4m 22s
165 actionable tasks: 103 executed, 60 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/hr4jc3jgacnwi

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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