See <https://ci-beam.apache.org/job/beam_SQLBigQueryIO_Batch_Performance_Test_Java/1672/display/redirect?page=changes>
Changes: [Pablo Estrada] Fix legend for Python Directrunner microbenchmarks [rohde.samuel] Add the TO_STRING capability to Java and Python [Boyuan Zhang] Specify the time resolution for TestStreamPayload. [zyichi] Fix typos for excluding testMergingCustomWindowsWithoutCustomWindowTypes [noreply] [BEAM-10632] Checkerframework nullness cleanups (#14107) ------------------------------------------ [...truncated 375.37 KB...] Starting process 'Gradle Test Executor 2'. 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 2' Successfully started process 'Gradle Test Executor 2' Gradle Test Executor 2 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-2.29.0-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 Mar 03, 2021 12:53:42 AM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Mar 03, 2021 12:53:43 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. Mar 03, 2021 12:53:46 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Mar 03, 2021 12:53:46 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Mar 03, 2021 12:53:46 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 Mar 03, 2021 12:53:46 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Mar 03, 2021 12:53:46 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Mar 03, 2021 12:53:46 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')), >($5, 2))]) BeamIOSourceRel(table=[[beam, HACKER_NEWS]]) Mar 03, 2021 12:53:47 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($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@2076382741]. 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 Mar 03, 2021 12:53:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DEFAULT Mar 03, 2021 12:53:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Mar 03, 2021 12:53:48 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 Mar 03, 2021 12:53:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DEFAULT Mar 03, 2021 12:53:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Mar 03, 2021 12:53:48 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')), >($5, 2))]) BeamIOSourceRel(table=[[beam, HACKER_NEWS]]) Mar 03, 2021 12:53:48 AM org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner convertToBeamRel INFO: BEAMPlan> BeamCalcRel(expr#0..13=[{inputs}], expr#14=['story':VARCHAR], expr#15=[=($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@1264259067]. 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 Mar 03, 2021 12:53:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Mar 03, 2021 12:53:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Mar 03, 2021 12:53:48 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 Mar 03, 2021 12:53:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery method is set to: DIRECT_READ Mar 03, 2021 12:53:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable <init> INFO: BigQuery writeDisposition is set to: WRITE_EMPTY Mar 03, 2021 12:53:48 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]]) Mar 03, 2021 12:53:48 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'))>($5, 2)}, unsupported{}]]) Mar 03, 2021 12:53:48 AM org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryTable buildIOReader INFO: Pushing down the following filter: (`type` = 'story' OR `type` = 'job') AND `score` > 2 Mar 03, 2021 12:53:50 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Mar 03, 2021 12:53:53 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 233 files from PipelineOptions.filesToStage to staging location to prepare for execution. Mar 03, 2021 12:53:53 AM org.apache.beam.runners.dataflow.util.PackageUtil$PackageAttributes forFileToStage INFO: Staging custom dataflow-worker.jar as beam-runners-google-cloud-dataflow-java-legacy-worker-2.29.0-SNAPSHOT-KSU6Kw39QqtaisVNYcVPQuSS5YzijYv_tH4d0dd8Amc.jar Mar 03, 2021 12:53:53 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading /tmp/test730872226835393279.zip to gs://temp-storage-for-perf-tests/loadtests/staging/test-72qLaXSjNoKLEfpwAYBzzWpd5ZphvG9bc-Vqwi6KphQ.jar Mar 03, 2021 12:53:54 AM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 232 files cached, 1 files newly uploaded in 1 seconds Mar 03, 2021 12:53:54 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) as step s1 Mar 03, 2021 12:53:54 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamPushDownIOSourceRel_229/ParDo(RowMonitor) as step s2 Mar 03, 2021 12:53:54 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding BeamCalcRel_285/ParDo(Calc) as step s3 Mar 03, 2021 12:53:54 AM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s4 Mar 03, 2021 12:53:54 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging pipeline description to gs://temp-storage-for-perf-tests/loadtests/staging/ Mar 03, 2021 12:53:54 AM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <101923 bytes, hash 09873ff219fbf7718facbffee6c657cb6f1974e6aaa924e18d23ed5010dbb488> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-CYc_8hn793GPrL_-5sZXy28ZdOaqqSThjSPtUBDbtIg.pb Mar 03, 2021 12:53:55 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.29.0-SNAPSHOT Mar 03, 2021 12:53:56 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-central1/2021-03-02_16_53_55-109411062156449247?project=apache-beam-testing Mar 03, 2021 12:53:56 AM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2021-03-02_16_53_55-109411062156449247 Mar 03, 2021 12:53:56 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 2021-03-02_16_53_55-109411062156449247 Mar 03, 2021 12:54:00 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2021-03-03T00:53:58.312Z: The requested max number of workers (5) is ignored as autoscaling is explicitly disabled (autoscalingAlgorithm=NONE). Mar 03, 2021 12:54:05 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:04.658Z: Worker configuration: n1-standard-1 in us-central1-c. Mar 03, 2021 12:54:06 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:05.525Z: Expanding CoGroupByKey operations into optimizable parts. Mar 03, 2021 12:54:06 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:05.564Z: Expanding GroupByKey operations into optimizable parts. Mar 03, 2021 12:54:06 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:05.595Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Mar 03, 2021 12:54:06 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:05.657Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Mar 03, 2021 12:54:06 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:05.691Z: Fusing consumer BeamPushDownIOSourceRel_229/ParDo(RowMonitor) into BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource) Mar 03, 2021 12:54:06 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:05.714Z: Fusing consumer BeamCalcRel_285/ParDo(Calc) into BeamPushDownIOSourceRel_229/ParDo(RowMonitor) Mar 03, 2021 12:54:06 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:05.883Z: Fusing consumer ParDo(TimeMonitor) into BeamCalcRel_285/ParDo(Calc) Mar 03, 2021 12:54:06 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:06.208Z: Executing operation BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor) Mar 03, 2021 12:54:06 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:06.323Z: Starting 5 workers in us-central1-c... Mar 03, 2021 12:54:23 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:22.858Z: 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 Mar 03, 2021 12:54:43 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:54:42.281Z: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s). Mar 03, 2021 12:55:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:55:13.695Z: Workers have started successfully. Mar 03, 2021 12:55:15 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:55:13.733Z: Workers have started successfully. Mar 03, 2021 12:55:52 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:55:52.179Z: Finished operation BeamPushDownIOSourceRel_229/Read Input BQ Rows with push-down/Read(BigQueryStorageTableSource)+BeamPushDownIOSourceRel_229/ParDo(RowMonitor)+BeamCalcRel_285/ParDo(Calc)+ParDo(TimeMonitor) Mar 03, 2021 12:55:52 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:55:52.426Z: Cleaning up. Mar 03, 2021 12:55:52 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:55:52.491Z: Stopping worker pool... Mar 03, 2021 12:56:36 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:56:35.557Z: Autoscaling: Resized worker pool from 5 to 0. Mar 03, 2021 12:56:36 AM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2021-03-03T00:56:35.600Z: Worker pool stopped. Mar 03, 2021 12:56:41 AM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState INFO: Job 2021-03-02_16_53_55-109411062156449247 finished with status DONE. org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_OUT Load test results for test (ID): 80315df4-e727-4e5c-b1ba-a824c0ed713c and timestamp: 2021-03-03T00:56:41.578000000Z: Metric: Value: read_time 18.541 fields_read 4375276.0 org.apache.beam.sdk.extensions.sql.meta.provider.bigquery.BigQueryIOPushDownIT > readUsingDirectReadMethodPushDown STANDARD_ERROR Mar 03, 2021 12:56:42 AM 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 (0.023 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> 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 10,5,main]) completed. Took 3 mins 4.678 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 10m 5s 149 actionable tasks: 98 executed, 51 from cache Watching 2236 directories to track changes Publishing build scan... https://gradle.com/s/aqspmwhekilca Stopped 1 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]
