See <https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17/139/display/redirect>
Changes: ------------------------------------------ [...truncated 51.15 KB...] > Task :sdks:java:testing:load-tests:run May 08, 2022 12:59:56 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation May 08, 2022 12:59:56 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 222 files. Enable logging at DEBUG level to see which files will be staged. May 08, 2022 12:59:57 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. May 08, 2022 1:00:00 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 222 files from PipelineOptions.filesToStage to staging location to prepare for execution. May 08, 2022 1:00:01 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 222 files cached, 0 files newly uploaded in 0 seconds May 08, 2022 1:00:01 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ May 08, 2022 1:00:01 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <98338 bytes, hash 48b28e21a12d9080d50d6ad7f11a3df1be53e7d9cb6669f3814e5a45b2fa8957> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-SLKOIaEtkIDVDWrX8Ro98b5T59nLZmnzgU5aRbL6iVc.pb May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 May 08, 2022 1:00:03 PM org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource split INFO: Split into 20 bundles of sizes: [org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@8cc8cdb, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@1e236278, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@44fff386, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@1fc713c9, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@7301eebe, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@76b47204, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@4d6ccc97, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@6a12c7a8, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@161aa04a, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@436bd4df, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@6848a051, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@149b0577, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@5740ff5e, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@4a901445, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@67f77f6e, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@2b0b7e5a, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@7be1ce6a, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@3119cf6f, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@6dc9da2d, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@1d408060] May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Collect start time metrics as step s3 May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Total bytes monitor as step s4 May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Window.Into()/Window.Assign as step s5 May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Group by key (0) as step s6 May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Ungroup and reiterate (0) as step s7 May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Collect end time metrics (0) as step s8 May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.40.0-SNAPSHOT May 08, 2022 1:00:04 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-08_06_00_03-13163426970469888448?project=apache-beam-testing May 08, 2022 1:00:04 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-05-08_06_00_03-13163426970469888448 May 08, 2022 1:00:04 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To cancel the job using the 'gcloud' tool, run: > gcloud dataflow jobs --project=apache-beam-testing cancel > --region=us-central1 2022-05-08_06_00_03-13163426970469888448 May 08, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-05-08T13:00:11.101Z: The workflow name is not a valid Cloud Label. Labels applied to Cloud resources (such as GCE Instances) for monitoring will be labeled with this modified job name: load0tests0java170dataflow0v20streaming0gbk01-jenkins-0508-16po. For the best monitoring experience, please name your job with a valid Cloud Label. For details, see: https://cloud.google.com/compute/docs/labeling-resources#restrictions May 08, 2022 1:00:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:15.621Z: Worker configuration: e2-standard-2 in us-central1-b. May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.202Z: Expanding SplittableParDo operations into optimizable parts. May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.238Z: Expanding CollectionToSingleton operations into optimizable parts. May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.303Z: Expanding CoGroupByKey operations into optimizable parts. May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.387Z: Expanding SplittableProcessKeyed operations into optimizable parts. May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.423Z: Expanding GroupByKey operations into streaming Read/Write steps May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.487Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.624Z: Fusing adjacent ParDo, Read, Write, and Flatten operations May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.660Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.692Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.725Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.781Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.802Z: Fusing consumer Collect start time metrics/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.833Z: Fusing consumer Total bytes monitor/ParMultiDo(ByteMonitor) into Collect start time metrics/ParMultiDo(TimeMonitor) May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.865Z: Fusing consumer Window.Into()/Window.Assign into Total bytes monitor/ParMultiDo(ByteMonitor) May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.896Z: Fusing consumer Group by key (0)/WriteStream into Window.Into()/Window.Assign May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.961Z: Fusing consumer Group by key (0)/MergeBuckets into Group by key (0)/ReadStream May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:16.991Z: Fusing consumer Ungroup and reiterate (0)/ParMultiDo(UngroupAndReiterate) into Group by key (0)/MergeBuckets May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:17.024Z: Fusing consumer Collect end time metrics (0)/ParMultiDo(TimeMonitor) into Ungroup and reiterate (0)/ParMultiDo(UngroupAndReiterate) May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:17.135Z: Running job using Streaming Engine May 08, 2022 1:00:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:17.383Z: Starting 5 ****s in us-central1-b... May 08, 2022 1:00:32 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:31.312Z: 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 May 08, 2022 1:00:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:00:40.891Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 1:01:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:01:47.991Z: Workers have started successfully. May 08, 2022 1:24:33 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process SEVERE: 2022-05-08T13:24:32.300Z: generic::aborted: SDK harness sdk-0-0 disconnected. passed through: ==> dist_proc/dax/workflow/****/fnapi_service_impl.cc:922 generic::aborted: SDK harness sdk-0-0 disconnected. May 08, 2022 1:29:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:29:46.464Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 1:30:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:30:48.812Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 1:32:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process SEVERE: 2022-05-08T13:32:37.904Z: generic::aborted: SDK harness sdk-0-0 disconnected. passed through: ==> dist_proc/dax/workflow/****/fnapi_service_impl.cc:922 generic::aborted: SDK harness sdk-0-0 disconnected. May 08, 2022 1:33:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:33:51.403Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 1:36:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:36:50.225Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 1:37:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:37:52.645Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 1:39:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process SEVERE: 2022-05-08T13:39:41.152Z: generic::aborted: SDK harness sdk-0-0 disconnected. passed through: ==> dist_proc/dax/workflow/****/fnapi_service_impl.cc:922 generic::aborted: SDK harness sdk-0-0 disconnected. May 08, 2022 1:39:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process SEVERE: 2022-05-08T13:39:47.244Z: generic::aborted: SDK harness sdk-0-0 disconnected. generic::aborted: SDK harness sdk-0-0 disconnected. passed through: ==> dist_proc/dax/workflow/****/fnapi_service_impl.cc:922 May 08, 2022 1:42:56 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:42:55.274Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 1:51:59 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T13:51:58.529Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 2:01:03 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T14:01:01.803Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 2:10:02 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T14:10:00.357Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 2:19:03 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T14:19:03.348Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 2:28:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T14:28:16.909Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 2:41:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T14:41:05.697Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 2:52:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T14:52:09.268Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 3:01:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T15:01:09.096Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 3:10:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T15:10:12.436Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 3:19:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T15:19:15.660Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 3:28:25 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T15:28:24.945Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 3:37:21 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T15:37:19.507Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 3:48:18 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T15:48:17.808Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 3:57:22 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T15:57:21.310Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. May 08, 2022 4:00:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T16:00:57.235Z: Cancel request is committed for workflow job: 2022-05-08_06_00_03-13163426970469888448. May 08, 2022 4:00:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T16:00:57.262Z: Cleaning up. May 08, 2022 4:00:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T16:00:57.320Z: Stopping **** pool... May 08, 2022 4:00:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T16:00:57.392Z: Stopping **** pool... May 08, 2022 4:03:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T16:03:26.634Z: Autoscaling: Reduced the number of ****s to 0 based on low average **** CPU utilization, and the pipeline having sufficiently low backlog and keeping up with input rate. May 08, 2022 4:03:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-08T16:03:26.692Z: Worker pool stopped. May 08, 2022 4:03:33 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState INFO: Job 2022-05-08_06_00_03-13163426970469888448 finished with status CANCELLED. Load test results for test (ID): 96c5ab0f-705b-46b7-9187-997899665907 and timestamp: 2022-05-08T12:59:57.159000000Z: Metric: Value: dataflow_v2_java17_runtime_sec 2328.627 dataflow_v2_java17_total_bytes_count 3.31344722E9 Exception in thread "main" java.lang.RuntimeException: Invalid job state: CANCELLED. at org.apache.beam.sdk.loadtests.JobFailure.handleFailure(JobFailure.java:51) at org.apache.beam.sdk.loadtests.LoadTest.run(LoadTest.java:139) at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.run(GroupByKeyLoadTest.java:57) at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.main(GroupByKeyLoadTest.java:131) > Task :sdks:java:testing:load-tests:run FAILED > Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220508125746 Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3 Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220508125746] - referencing digest: [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3] Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220508125746] (referencing [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3])]. Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3 Digests: - us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3 Deleted [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3]. Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:834a3075739c028d7e7b3cd67bca65d5ce5034c4bf58148ecf5c4dc28e64d192 Digests: - us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:834a3075739c028d7e7b3cd67bca65d5ce5034c4bf58148ecf5c4dc28e64d192 ERROR: (gcloud.container.images.delete) Not found: response: {'docker-distribution-api-version': 'registry/2.0', 'content-type': 'application/json', 'date': 'Sun, 08 May 2022 16:03:43 GMT', 'server': 'Docker Registry', 'cache-control': 'private', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'transfer-encoding': 'chunked', 'status': '404', 'content-length': '168', '-content-encoding': 'gzip'} Failed to compute blob liveness for manifest: 'sha256:834a3075739c028d7e7b3cd67bca65d5ce5034c4bf58148ecf5c4dc28e64d192': None > Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages FAILED FAILURE: Build completed with 2 failures. 1: Task failed with an exception. ----------- * What went wrong: Execution failed for task ':sdks:java:testing:load-tests:run'. > Process 'command '/usr/lib/jvm/java-8-openjdk-amd64/bin/java'' finished with > non-zero exit value 1 * Try: > Run with --stacktrace option to get the stack trace. > Run with --info or --debug option to get more log output. > Run with --scan to get full insights. ============================================================================== 2: Task failed with an exception. ----------- * Where: Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17/ws/src/runners/google-cloud-dataflow-java/build.gradle'> line: 297 * What went wrong: Execution failed for task ':runners:google-cloud-dataflow-java:cleanUpDockerJavaImages'. > Process 'command './scripts/cleanup_untagged_gcr_images.sh'' finished with > non-zero exit value 1 * Try: > Run with --stacktrace option to get the stack trace. > Run with --info or --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/7.4/userguide/command_line_interface.html#sec:command_line_warnings Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness. Please consult deprecation warnings for more details. BUILD FAILED in 3h 6m 15s 110 actionable tasks: 73 executed, 33 from cache, 4 up-to-date Publishing build scan... https://gradle.com/s/4nuhwxqvy4v6c 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]
