See <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/2875/display/redirect?page=changes>
Changes: [Steve Niemitz] [BEAM-13459] Update CHANGES.md, add note about artifact caching for [noreply] [BEAM-13015] Use 20% of memory when the maximum has been configured. ------------------------------------------ [...truncated 322.31 KB...] 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-2.37.0-SNAPSHOT.jar","--region=us-central1";]> -Djava.security.manager=worker.org.gradle.process.internal.worker.child.BootstrapSecurityManager -Dorg.gradle.internal.worker.tmpdir=<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/extensions/sql/perf-tests/build/tmp/integrationTest/work> -Dorg.gradle.native=false -Xmx2g -Dfile.encoding=UTF-8 -Duser.country=US -Duser.language=en -Duser.variant -ea -cp /home/jenkins/.gradle/caches/7.3.2/workerMain/gradle-worker.jar worker.org.gradle.process.internal.worker.GradleWorkerMain 'Gradle Test Executor 5' Successfully started process 'Gradle Test Executor 5' Gradle Test Executor 5 started executing tests. > Task :sdks:java:extensions:sql:perf-tests:integrationTest 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-2.37.0-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: Found binding in [jar:file:/home/jenkins/.gradle/caches/modules-2/files-2.1/org.slf4j/slf4j-log4j12/1.7.30/c21f55139d8141d2231214fb1feaf50a1edca95e/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/home/jenkins/.gradle/caches/modules-2/files-2.1/org.slf4j/slf4j-simple/1.7.30/e606eac955f55ecf1d8edcccba04eb8ac98088dd/slf4j-simple-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 Jan 05, 2022 6:45:42 AM org.apache.beam.runners.dataflow.DataflowRunner validateSdkContainerImageOptions WARNING: Prefer --sdkContainerImage over deprecated legacy option --workerHarnessContainerImage. Jan 05, 2022 6:45:43 AM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Jan 05, 2022 6:45:44 AM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 354 files. Enable logging at DEBUG level to see which files will be staged. Jan 05, 2022 6:45:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Jan 05, 2022 6:45:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 05, 2022 6:45:49 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 Jan 05, 2022 6:45:49 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Jan 05, 2022 6:45:49 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 05, 2022 6:45:49 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')), >($5, 2))]) BeamIOSourceRel(table=[[beam, HACKER_NEWS]]) Jan 05, 2022 6:45:50 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($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@187070277]. 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 Jan 05, 2022 6:45:50 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DEFAULT Jan 05, 2022 6:45:50 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 05, 2022 6:45:50 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 Jan 05, 2022 6:45:50 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DEFAULT Jan 05, 2022 6:45:50 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 05, 2022 6:45:50 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')), >($5, 2))]) BeamIOSourceRel(table=[[beam, HACKER_NEWS]]) Jan 05, 2022 6:45:50 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($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@1493257982]. 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 Jan 05, 2022 6:45:51 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Jan 05, 2022 6:45:51 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 05, 2022 6:45:51 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 Jan 05, 2022 6:45:51 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Jan 05, 2022 6:45:51 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 05, 2022 6:45:51 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]]) Jan 05, 2022 6:45:51 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'))>($5, 2)}, unsupported{}]]) Jan 05, 2022 6:45:51 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable buildIOReader INFO: Pushing down the following filter: (type = 'story' OR type = 'job') AND score > 2 Jan 05, 2022 6:45:51 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Jan 05, 2022 6:45:56 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 355 files from PipelineOptions.filesToStage to staging location to prepare for execution. Jan 05, 2022 6:45:56 AM org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes forFileToStage INFO: Staging custom dataflow-worker.jar as beam-runners-google-cloud-dataflow-java-legacy-worker-2.37.0-SNAPSHOT-6xyAW_GwJHb24kHAf_NZQQgEoqN0XleFRZNfz4bFo6A.jar Jan 05, 2022 6:45:56 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading /tmp/test6774416548750624323.zip to gs://temp-storage-for-perf-tests/loadtests/staging/test-8wozGAdkK8PyHCzL6zUYkkQQ_yhaNvjx1LulzU0v-fI.jar Jan 05, 2022 6:45:57 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 354 files cached, 1 files newly uploaded in 0 seconds Jan 05, 2022 6:45:57 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Jan 05, 2022 6:45:57 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <139916 bytes, hash 8d6ea8871a1f520e3eae0826c9a05022de1e3161bf283c0fec164835516e8a8a> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-jW6ohxofUg4-rggmyaBQIt4eMWG_KDwP7BZINVFuioo.pb Jan 05, 2022 6:46:00 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) as step s1 Jan 05, 2022 6:46:00 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamPushDownIOSourceRel_272/ParDo(RowMonitor) as step s2 Jan 05, 2022 6:46:00 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 Jan 05, 2022 6:46:00 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.37.0-SNAPSHOT Jan 05, 2022 6:46:01 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-01-04_22_46_00-937001186137088325?project=apache-beam-testing Jan 05, 2022 6:46:01 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-01-04_22_46_00-937001186137088325 Jan 05, 2022 6:46:01 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To cancel the job using the 'gcloud' tool, run: > gcloud dataflow jobs --project=apache-beam-testing cancel --region=us-central1 2022-01-04_22_46_00-937001186137088325 Jan 05, 2022 6:46:04 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-01-05T06:46:04.145Z: The requested max number of workers (5) is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE). Jan 05, 2022 6:46:13 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:12.477Z: Worker configuration: e2-standard-2 in us-central1-c. Jan 05, 2022 6:46:13 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:13.164Z: Expanding CoGroupByKey operations into optimizable parts. Jan 05, 2022 6:46:13 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:13.192Z: Expanding GroupByKey operations into optimizable parts. Jan 05, 2022 6:46:13 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:13.213Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Jan 05, 2022 6:46:13 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:13.279Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Jan 05, 2022 6:46:13 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:13.310Z: Fusing consumer BeamPushDownIOSourceRel_272/ParDo(RowMonitor) into BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) Jan 05, 2022 6:46:13 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:13.337Z: Fusing consumer ParDo(TimeMonitor) into BeamPushDownIOSourceRel_272/ParDo(RowMonitor) Jan 05, 2022 6:46:13 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:13.664Z: Executing operation BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor) Jan 05, 2022 6:46:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:13.722Z: Starting 5 workers in us-central1-c... Jan 05, 2022 6:46:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:16.188Z: 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 Jan 05, 2022 6:46:57 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:46:57.220Z: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s). Jan 05, 2022 6:47:24 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:47:21.311Z: Workers have started successfully. Jan 05, 2022 6:47:24 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:47:21.340Z: Workers have started successfully. Jan 05, 2022 6:47:54 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:47:53.729Z: Finished operation BeamPushDownIOSourceRel_272/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_272/ParDo(RowMonitor)+ParDo(TimeMonitor) Jan 05, 2022 6:47:54 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:47:53.882Z: Cleaning up. Jan 05, 2022 6:47:54 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:47:53.959Z: Stopping worker pool... Jan 05, 2022 6:50:27 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:50:26.858Z: Autoscaling: Resized worker pool from 5 to 0. Jan 05, 2022 6:50:27 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-01-05T06:50:26.922Z: Worker pool stopped. Jan 05, 2022 6:50:32 AM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState INFO: Job 2022-01-04_22_46_00-937001186137088325 finished with status DONE. org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_OUT Load test results for test (ID): 8c46db3a-60b6-4baf-8d10-7e4c2d95f8b9 and timestamp: 2022-01-05T06:50:32.260000000Z: Metric: Value: fields_read 4375276.0 read_time 8.933 org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_ERROR Jan 05, 2022 6:50:32 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 (0.026 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 (0.031 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 4 mins 56.933 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 6m 8s 132 actionable tasks: 78 executed, 52 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/cwdabzf5qrv5w 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]
