See <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/1660/display/redirect?page=changes>
Changes: [Kenneth Knowles] Exclude MapState example integration tests from Dataflow runner v2 suite ------------------------------------------ [...truncated 366.02 KB...] Build cache key for task ':sdks:java:extensions:sql:perf-tests:integrationTest' is 2ceb2f8f00d737f54035529004020fb7 Task ':sdks:java:extensions:sql:perf-tests:integrationTest' is not up-to-date because: Task.upToDateWhen is false. Watching 2225 directories to track changes Watching 2225 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-2.29.0-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-2.29.0-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 Feb 28, 2021 12:44:53 AM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Feb 28, 2021 12:44:54 AM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 232 files. Enable logging at DEBUG level to see which files will be staged. Feb 28, 2021 12:44:56 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Feb 28, 2021 12:44:56 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Feb 28, 2021 12:44:56 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 Feb 28, 2021 12:44:56 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Feb 28, 2021 12:44:56 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Feb 28, 2021 12:44:56 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')), >($5, 2))]) BeamIOSourceRel(table=[[beam, HACKER_NEWS]]) Feb 28, 2021 12:44:57 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($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@1692594302]. 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 Feb 28, 2021 12:44:57 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DEFAULT Feb 28, 2021 12:44:57 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Feb 28, 2021 12:44:57 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 Feb 28, 2021 12:44:57 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DEFAULT Feb 28, 2021 12:44:57 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Feb 28, 2021 12:44:57 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')), >($5, 2))]) BeamIOSourceRel(table=[[beam, HACKER_NEWS]]) Feb 28, 2021 12:44:58 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($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@636364923]. 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 Feb 28, 2021 12:44:58 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Feb 28, 2021 12:44:58 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Feb 28, 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 Feb 28, 2021 12:44:58 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Feb 28, 2021 12:44:58 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Feb 28, 2021 12:44:58 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]]) Feb 28, 2021 12:44:58 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'))>($5, 2)}, unsupported{}]]) Feb 28, 2021 12:44:58 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable buildIOReader INFO: Pushing down the following filter: (`type` = 'story' OR `type` = 'job') AND `score` > 2 Feb 28, 2021 12:45:00 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Feb 28, 2021 12:45:02 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 233 files from PipelineOptions.filesToStage to staging location to prepare for execution. Feb 28, 2021 12:45:02 AM org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes forFileToStage INFO: Staging custom dataflow-worker.jar as beam-runners-google-cloud-dataflow-java-legacy-worker-2.29.0-SNAPSHOT-rdIJr38wbapgrD3CbjsutuHrMl8QkxkHps8qZ_sPE-I.jar Feb 28, 2021 12:45:02 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading /tmp/test8742109391042512648.zip to gs://temp-storage-for-perf-tests/loadtests/staging/test-eMNxs9V_CR_ZHrmnm5-1u2jUsJVUz6H5MLP7LgCPyIE.jar Feb 28, 2021 12:45:02 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 232 files cached, 1 files newly uploaded in 0 seconds Feb 28, 2021 12:45:02 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) as step s1 Feb 28, 2021 12:45:03 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamPushDownIOSourceRel_229/ParDo(RowMonitor) as step s2 Feb 28, 2021 12:45:03 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamCalcRel_285/ParDo(Calc) as step s3 Feb 28, 2021 12:45:03 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s4 Feb 28, 2021 12:45:03 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging pipeline description to gs://temp-storage-for-perf-tests/loadtests/staging/ Feb 28, 2021 12:45:03 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <101892 bytes, hash 56650937cf6bc7aa7c927d6f6e7b7b45b1276a934b6874025ebd500fd3d5c9ba> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-VmUJN89rx6p8kn1vbnt7RbEnapNLaHQCXr1QD9PVybo.pb Feb 28, 2021 12:45:03 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.29.0-SNAPSHOT Feb 28, 2021 12:45:04 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-central1/2021-02-27_16_45_03-14476233529477906182?project=apache-beam-testing Feb 28, 2021 12:45:04 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2021-02-27_16_45_03-14476233529477906182 Feb 28, 2021 12:45:04 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 2021-02-27_16_45_03-14476233529477906182 Feb 28, 2021 12:45:09 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2021-02-28T00:45:06.722Z: The requested max number of workers (5) is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE). Feb 28, 2021 12:45:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:13.719Z: Worker configuration: n1-standard-1 in us-central1-a. Feb 28, 2021 12:45:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:14.654Z: Expanding CoGroupByKey operations into optimizable parts. Feb 28, 2021 12:45:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:14.684Z: Expanding GroupByKey operations into optimizable parts. Feb 28, 2021 12:45:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:14.737Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Feb 28, 2021 12:45:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:14.796Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Feb 28, 2021 12:45:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:14.822Z: Fusing consumer BeamPushDownIOSourceRel_229/ParDo(RowMonitor) into BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) Feb 28, 2021 12:45:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:14.857Z: Fusing consumer BeamCalcRel_285/ParDo(Calc) into BeamPushDownIOSourceRel_229/ParDo(RowMonitor) Feb 28, 2021 12:45:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:14.900Z: Fusing consumer ParDo(TimeMonitor) into BeamCalcRel_285/ParDo(Calc) Feb 28, 2021 12:45:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:15.223Z: Executing operation BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor) Feb 28, 2021 12:45:17 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:15.293Z: Starting 5 workers in us-central1-a... Feb 28, 2021 12:45:26 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:25.289Z: 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 Feb 28, 2021 12:45:55 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:45:54.579Z: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s). Feb 28, 2021 12:46:21 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:46:19.989Z: Workers have started successfully. Feb 28, 2021 12:46:21 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:46:20.020Z: Workers have started successfully. Feb 28, 2021 12:46:55 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:46:55.340Z: Finished operation BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor) Feb 28, 2021 12:46:55 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:46:55.494Z: Cleaning up. Feb 28, 2021 12:46:55 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:46:55.573Z: Stopping worker pool... Feb 28, 2021 12:47:47 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:47:46.841Z: Autoscaling: Resized worker pool from 5 to 0. Feb 28, 2021 12:47:47 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-02-28T00:47:46.878Z: Worker pool stopped. Feb 28, 2021 12:47:53 AM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState INFO: Job 2021-02-27_16_45_03-14476233529477906182 finished with status DONE. org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_OUT Load test results for test (ID): 983825e3-b942-437b-917c-d62b722ca621 and timestamp: 2021-02-28T00:47:53.405000000Z: Metric: Value: fields_read 4375276.0 read_time 14.482 org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_ERROR Feb 28, 2021 12:47:53 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 (0.027 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 (0.038 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 2227 directories to track changes Watching 2233 directories to track changes Watching 2234 directories to track changes :sdks:java:extensions:sql:perf-tests:integrationTest (Thread[Daemon worker,5,main]) completed. Took 3 mins 4.31 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 37s 149 actionable tasks: 94 executed, 55 from cache Watching 2234 directories to track changes Publishing build scan... https://gradle.com/s/vqjwqamynthtg 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]
