See <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/2595/display/redirect?page=changes>
Changes: [heejong] [BEAM-12978] Customizable dependency for Java external transform [heejong] add ConfigT param to getDependencies method ------------------------------------------ [...truncated 352.20 KB...] > Task :sdks:java:extensions:sql:perf-tests:testClasses Skipping task ':sdks:java:extensions:sql:perf-tests:testClasses' as it has no actions. :sdks:java:extensions:sql:perf-tests:testClasses (Thread[Execution worker for ':' Thread 4,5,main]) completed. Took 0.0 secs. :sdks:java:extensions:sql:perf-tests:integrationTest (Thread[Execution worker for ':' Thread 6,5,main]) started. Gradle Test Executor 5 started executing tests. > Task :sdks:java:extensions:sql:perf-tests:integrationTest Custom actions are attached to task ':sdks:java:extensions:sql:perf-tests:integrationTest'. Build cache key for task ':sdks:java:extensions:sql:perf-tests:integrationTest' is 6bf5391d49e2e1a5a9437f0674ac4d43 Task ':sdks:java:extensions:sql:perf-tests:integrationTest' is not up-to-date because: Task.upToDateWhen is false. Starting process 'Gradle Test Executor 5'. 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-2.35.0-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/6.9.1/workerMain/gradle-worker.jar worker.org.gradle.process.internal.worker.GradleWorkerMain 'Gradle Test Executor 5' 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 Oct 27, 2021 6:47:20 AM org.apache.beam.runners.dataflow.DataflowRunner validateSdkContainerImageOptions WARNING: Prefer --sdkContainerImage over deprecated legacy option --workerHarnessContainerImage. Oct 27, 2021 6:47:21 AM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Oct 27, 2021 6:47:22 AM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 249 files. Enable logging at DEBUG level to see which files will be staged. Oct 27, 2021 6:47:24 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Oct 27, 2021 6:47:24 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Oct 27, 2021 6:47:26 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 Oct 27, 2021 6:47:26 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Oct 27, 2021 6:47:26 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Oct 27, 2021 6:47:26 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')), >($5, 2))]) BeamIOSourceRel(table=[[beam, HACKER_NEWS]]) Oct 27, 2021 6:47:26 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($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_4/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output [PCollection@1307226993]. 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:81) 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 Oct 27, 2021 6:47:27 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DEFAULT Oct 27, 2021 6:47:27 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Oct 27, 2021 6:47:27 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 Oct 27, 2021 6:47:27 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DEFAULT Oct 27, 2021 6:47:27 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Oct 27, 2021 6:47:27 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')), >($5, 2))]) BeamIOSourceRel(table=[[beam, HACKER_NEWS]]) Oct 27, 2021 6:47:27 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($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_118/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output [PCollection@1658417926]. 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:81) 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 Oct 27, 2021 6:47:27 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Oct 27, 2021 6:47:27 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Oct 27, 2021 6:47:27 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 Oct 27, 2021 6:47:27 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Oct 27, 2021 6:47:27 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Oct 27, 2021 6:47:27 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]]) Oct 27, 2021 6:47:28 AM 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'))>($5, 2)}, unsupported{}]]) Oct 27, 2021 6:47:28 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable buildIOReader INFO: Pushing down the following filter: (type = 'story' OR type = 'job') AND score > 2 Oct 27, 2021 6:47:28 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Oct 27, 2021 6:47:31 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 250 files from PipelineOptions.filesToStage to staging location to prepare for execution. Oct 27, 2021 6:47:32 AM org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes forFileToStage INFO: Staging custom dataflow-worker.jar as beam-runners-google-cloud-dataflow-java-legacy-worker-2.35.0-SNAPSHOT-Q7KcmHeN9oWjmrz9t6eemA5BTEfZSF7ff75URlOqem8.jar Oct 27, 2021 6:47:32 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading /tmp/test1125005737521853143.zip to gs://temp-storage-for-perf-tests/loadtests/staging/test-6CejtyXlnz_x_I5eE5ffhxfTYe5KlPH8WMTSxJ6h4xk.jar Oct 27, 2021 6:47:32 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 249 files cached, 1 files newly uploaded in 0 seconds Oct 27, 2021 6:47:32 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Oct 27, 2021 6:47:32 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <104890 bytes, hash ddb448d9b010f9b2534dcd51002aa98e499f9bd6c6f090c1892db5aa26425451> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-3bRI2bAQ-bJTTc1RACqpjkmfm9bG8JDBiS21qiZCVFE.pb Oct 27, 2021 6:47:35 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) as step s1 Oct 27, 2021 6:47:35 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2 Oct 27, 2021 6:47:35 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 Oct 27, 2021 6:47:35 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.35.0-SNAPSHOT Oct 27, 2021 6:47:36 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2021-10-26_23_47_35-6282463995481441555?project=apache-beam-testing Oct 27, 2021 6:47:36 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2021-10-26_23_47_35-6282463995481441555 Oct 27, 2021 6:47:36 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To cancel the job using the 'gcloud' tool, run: > gcloud dataflow jobs --project=apache-beam-testing cancel --region=us-central1 2021-10-26_23_47_35-6282463995481441555 Oct 27, 2021 6:47:39 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2021-10-27T06:47:38.747Z: The requested max number of workers (5) is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE). Oct 27, 2021 6:47:45 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:47:44.067Z: Worker configuration: e2-standard-2 in us-central1-a. Oct 27, 2021 6:47:45 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:47:44.746Z: Expanding CoGroupByKey operations into optimizable parts. Oct 27, 2021 6:47:45 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:47:44.776Z: Expanding GroupByKey operations into optimizable parts. Oct 27, 2021 6:47:45 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:47:44.807Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Oct 27, 2021 6:47:45 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:47:44.881Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Oct 27, 2021 6:47:45 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:47:44.905Z: Fusing consumer BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) Oct 27, 2021 6:47:45 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:47:44.937Z: Fusing consumer ParDo(TimeMonitor) into BeamPushDownIOSourceRel_272/ParDo(RowMonitor) Oct 27, 2021 6:47:45 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:47:45.259Z: Executing operation BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor) Oct 27, 2021 6:47:47 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:47:45.336Z: Starting 5 workers in us-central1-a... Oct 27, 2021 6:48:06 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:48:04.879Z: 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 Oct 27, 2021 6:48:28 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:48:28.879Z: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s). Oct 27, 2021 6:48:57 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:48:57.013Z: Workers have started successfully. Oct 27, 2021 6:48:57 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:48:57.046Z: Workers have started successfully. Oct 27, 2021 6:49:23 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:49:23.197Z: Finished operation BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor) Oct 27, 2021 6:49:23 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:49:23.352Z: Cleaning up. Oct 27, 2021 6:49:23 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:49:23.427Z: Stopping worker pool... Oct 27, 2021 6:51:54 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:51:53.315Z: Autoscaling: Resized worker pool from 5 to 0. Oct 27, 2021 6:51:54 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-10-27T06:51:53.351Z: Worker pool stopped. Oct 27, 2021 6:51:58 AM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState INFO: Job 2021-10-26_23_47_35-6282463995481441555 finished with status DONE. org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_OUT Load test results for test (ID): 9f474d3d-6267-4c5e-a9bf-cf1cdcbb4e41 and timestamp: 2021-10-27T06:51:58.748000000Z: Metric: Value: fields_read 4375276.0 read_time 6.579 org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_ERROR Oct 27, 2021 6:51:59 AM 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 (0.037 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 (0.049 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 6,5,main]) completed. Took 4 mins 42.557 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 7m 29s 152 actionable tasks: 105 executed, 47 from cache Publishing build scan... https://gradle.com/s/uuldaalp4e464 Stopped 4 worker daemon(s). Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
