See <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/1492/display/redirect>
Changes: ------------------------------------------ [...truncated 382.47 KB...] Task.upToDateWhen is false. Watching 2227 directories to track changes Watching 2227 directories to track changes Starting process 'Gradle Test Executor 1'. Working directory: <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/extensions/sql/perf-tests> Command: /usr/lib/jvm/java-8-openjdk-amd64/bin/java -DbeamTestPipelineOptions=["--project=apache-beam-testing","--tempLocation=gs://temp-storage-for-perf-tests/loadtests","--tempRoot=gs://temp-storage-for-perf-tests/loadtests","--metricsBigQueryDataset=beam_performance","--metricsBigQueryTable=sql_bqio_read_java_batch","--runner=DataflowRunner","--maxNumWorkers=5","--numWorkers=5","--autoscalingAlgorithm=NONE","--workerHarnessContainerImage=","--dataflowWorkerJar=<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/runners/google-cloud-dataflow-java/worker/legacy-worker/build/libs/beam-runners-google-cloud-dataflow-java-legacy-worker-2.28.0-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/6.8/workerMain/gradle-worker.jar worker.org.gradle.process.internal.worker.GradleWorkerMain 'Gradle Test Executor 1' Successfully started process 'Gradle Test Executor 1' org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT STANDARD_ERROR SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:<https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/runners/google-cloud-dataflow-java/worker/legacy-worker/build/libs/beam-runners-google-cloud-dataflow-java-legacy-worker-2.28.0-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 Jan 17, 2021 12:44:56 AM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Jan 17, 2021 12:44:56 AM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 228 files. Enable logging at DEBUG level to see which files will be staged. Jan 17, 2021 12:44:58 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Jan 17, 2021 12:44:58 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 17, 2021 12:44:58 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 17, 2021 12:44:58 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Jan 17, 2021 12:44:58 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 17, 2021 12:44:59 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')), >($5, 2))]) BeamIOSourceRel(table=[[beam, HACKER_NEWS]]) Jan 17, 2021 12:44:59 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($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_3/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output [PCollection@920545533]. Correct one of the following root causes: No Coder has been manually specified; you may do so using .setCoder(). Inferring a Coder from the CoderRegistry failed: Cannot provide a coder for a Beam Row. Please provide a schema instead using PCollection.setRowSchema. Using the default output Coder from the producing PTransform failed: PTransform.getOutputCoder called. at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:507) at org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:280) at org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:117) at org.apache.beam.sdk.runners.TransformHierarchy.finishSpecifyingInput(TransformHierarchy.java:153) at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:546) at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:498) at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:72) at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:42) at org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT.readUsingDirectReadMethod(BigQueryIOPushDownIT.java:162) org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDefaultMethod STANDARD_ERROR Jan 17, 2021 12:44:59 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DEFAULT Jan 17, 2021 12:44:59 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 17, 2021 12:44:59 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 17, 2021 12:44:59 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DEFAULT Jan 17, 2021 12:44:59 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 17, 2021 12:44:59 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')), >($5, 2))]) BeamIOSourceRel(table=[[beam, HACKER_NEWS]]) Jan 17, 2021 12:45:00 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($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_95/ParDo(RowMonitor)/ParMultiDo(RowMonitor).output [PCollection@1496288602]. Correct one of the following root causes: No Coder has been manually specified; you may do so using .setCoder(). Inferring a Coder from the CoderRegistry failed: Cannot provide a coder for a Beam Row. Please provide a schema instead using PCollection.setRowSchema. Using the default output Coder from the producing PTransform failed: PTransform.getOutputCoder called. at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:507) at org.apache.beam.sdk.values.PCollection.getCoder(PCollection.java:280) at org.apache.beam.sdk.values.PCollection.finishSpecifying(PCollection.java:117) at org.apache.beam.sdk.runners.TransformHierarchy.finishSpecifyingInput(TransformHierarchy.java:153) at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:546) at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:498) at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:72) at org.apache.beam.sdk.extensions.sql.impl.rel.BeamSqlRelUtils.toPCollection(BeamSqlRelUtils.java:42) at org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT.readUsingDefaultMethod(BigQueryIOPushDownIT.java:176) org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_ERROR Jan 17, 2021 12:45:00 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Jan 17, 2021 12:45:00 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 17, 2021 12:45:00 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 17, 2021 12:45:00 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Jan 17, 2021 12:45:00 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Jan 17, 2021 12:45:00 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 17, 2021 12:45:00 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..3=[{inputs}], proj#0..3=[{exprs}]) BeamPushDownIOSourceRel(table=[[beam, HACKER_NEWS]], usedFields=[[by, type, title, score]], BigQueryFilter=[[supported{OR(=($8, 'story'), =($8, 'job'))>($5, 2)}, unsupported{}]]) Jan 17, 2021 12:45:00 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable buildIOReader INFO: Pushing down the following filter: (`type` = 'story' OR `type` = 'job') AND `score` > 2 Jan 17, 2021 12:45:02 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Jan 17, 2021 12:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 229 files from PipelineOptions.filesToStage to staging location to prepare for execution. Jan 17, 2021 12:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes forFileToStage INFO: Staging custom dataflow-worker.jar as beam-runners-google-cloud-dataflow-java-legacy-worker-2.28.0-SNAPSHOT-bSv2aVFlWa9IKbDZkwwxiECwGYpmCf-j0hDigz4zXIQ.jar Jan 17, 2021 12:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading /tmp/test297072004480452625.zip to gs://temp-storage-for-perf-tests/loadtests/staging/test-f1RTJZHnzVeSjMqjSGxPIarXJfxrnAFoxg3i6HqwciU.jar Jan 17, 2021 12:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading /home/jenkins/.gradle/caches/modules-2/files-2.1/com.alibaba/fastjson/1.2.69/6cb063f1d527ff65bdbb9ea74888a5ffc3f92197/fastjson-1.2.69.jar to gs://temp-storage-for-perf-tests/loadtests/staging/fastjson-1.2.69-KniRdEoDeOAJmpuB3b7U0uGn6GMvb4b4_8-jg-UeScg.jar Jan 17, 2021 12:45:04 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 227 files cached, 2 files newly uploaded in 0 seconds Jan 17, 2021 12:45:04 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) as step s1 Jan 17, 2021 12:45:05 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamPushDownIOSourceRel_229/ParDo(RowMonitor) as step s2 Jan 17, 2021 12:45:05 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamCalcRel_285/ParDo(Calc) as step s3 Jan 17, 2021 12:45:05 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s4 Jan 17, 2021 12:45:05 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging pipeline description to gs://temp-storage-for-perf-tests/loadtests/staging/ Jan 17, 2021 12:45:05 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <100158 bytes, hash c0f683d6ead135d571f28fb6d2fc9f86c67cdfa979866c27260b76a28db1cf3a> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-wPaD1urRNdVx8o-20vyfhsZ836l5hmwnJgt2oo2xzzo.pb Jan 17, 2021 12:45:05 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.28.0-SNAPSHOT Jan 17, 2021 12:45:07 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-central1/2021-01-16_16_45_05-9614703310166113074?project=apache-beam-testing Jan 17, 2021 12:45:07 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2021-01-16_16_45_05-9614703310166113074 Jan 17, 2021 12:45:07 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 2021-01-16_16_45_05-9614703310166113074 Jan 17, 2021 12:45:07 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2021-01-17T00:45:05.493Z: The requested max number of workers (5) is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE). Jan 17, 2021 12:45:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:14.884Z: Worker configuration: n1-standard-1 in us-central1-f. Jan 17, 2021 12:45:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:15.456Z: Expanding CoGroupByKey operations into optimizable parts. Jan 17, 2021 12:45:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:15.488Z: Expanding GroupByKey operations into optimizable parts. Jan 17, 2021 12:45:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:15.514Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Jan 17, 2021 12:45:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:15.575Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Jan 17, 2021 12:45:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:15.607Z: Fusing consumer BeamPushDownIOSourceRel_229/ParDo(RowMonitor) into BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) Jan 17, 2021 12:45:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:15.644Z: Fusing consumer BeamCalcRel_285/ParDo(Calc) into BeamPushDownIOSourceRel_229/ParDo(RowMonitor) Jan 17, 2021 12:45:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:15.676Z: Fusing consumer ParDo(TimeMonitor) into BeamCalcRel_285/ParDo(Calc) Jan 17, 2021 12:45:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:16.142Z: Executing operation BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor) Jan 17, 2021 12:45:16 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:16.222Z: Starting 5 workers in us-central1-f... Jan 17, 2021 12:45:37 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:36.752Z: 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 17, 2021 12:45:45 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:45:44.837Z: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s). Jan 17, 2021 12:46:09 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:46:07.501Z: Workers have started successfully. Jan 17, 2021 12:46:09 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:46:07.532Z: Workers have started successfully. Jan 17, 2021 12:46:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:46:40.088Z: Finished operation BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor) Jan 17, 2021 12:46:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:46:40.235Z: Cleaning up. Jan 17, 2021 12:46:41 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:46:40.312Z: Stopping worker pool... Jan 17, 2021 12:47:42 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:47:42.290Z: Autoscaling: Resized worker pool from 5 to 0. Jan 17, 2021 12:47:42 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-01-17T00:47:42.339Z: Worker pool stopped. Jan 17, 2021 12:47:48 AM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState INFO: Job 2021-01-16_16_45_05-9614703310166113074 finished with status DONE. org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_OUT Load test results for test (ID): 62c29f7b-7f63-46d5-b6ac-b636ffabd95c and timestamp: 2021-01-17T00:47:48.598000000Z: Metric: Value: fields_read 4375276.0 read_time 14.428 org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_ERROR Jan 17, 2021 12:47:49 AM org.apache.beam.sdk.testutils.publishing.InfluxDBPublisher publishWithCheck WARNING: Missing property -- measurement/database. Metrics won't be published. Gradle Test Executor 1 finished executing tests. > Task :sdks:java:extensions:sql:perf-tests:integrationTest FAILED 3 tests completed, 2 failed Finished generating test XML results (0.033 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 (0.035 secs) into: <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/ws/src/sdks/java/extensions/sql/perf-tests/build/reports/tests/integrationTest> Watching 2229 directories to track changes Watching 2235 directories to track changes Watching 2236 directories to track changes :sdks:java:extensions:sql:perf-tests:integrationTest (Thread[Execution worker for ':' Thread 5,5,main]) completed. Took 2 mins 57.195 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/6.8/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 3m 31s 145 actionable tasks: 91 executed, 54 from cache Watching 2236 directories to track changes Publishing build scan... https://gradle.com/s/ly32wnelr3uam 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]
