See <https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11/247/display/redirect>
Changes: ------------------------------------------ [...truncated 49.14 KB...] bed676ceab7a: Layer already exists 6398d5cccd2c: Layer already exists 0b0f2f2f5279: Layer already exists 33c29dc00c31: Pushed 937da5926ca2: Pushed 98fd57b838cb: Pushed 0e4bb2d4367a: Pushed 20220221181050: digest: sha256:429c645bfe641af6ba2964a8c571163bb67160dc345c77970e63bee704650a2f size: 4520 > Task :sdks:java:testing:load-tests:run Feb 21, 2022 6:12:46 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Feb 21, 2022 6:12:47 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 204 files. Enable logging at DEBUG level to see which files will be staged. Feb 21, 2022 6:12:48 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Feb 21, 2022 6:12:50 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 204 files from PipelineOptions.filesToStage to staging location to prepare for execution. Feb 21, 2022 6:12:51 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 204 files cached, 0 files newly uploaded in 0 seconds Feb 21, 2022 6:12:51 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Feb 21, 2022 6:12:51 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <92138 bytes, hash 41e91ee3808eaa4c9c074f9ff246ea0ea853ff3b2e086a62477cb0e345fd8519> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-Qeke44COqkycB0-f8kbqDqhT_zsuCGpiR3yw40X9hRk.pb Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 Feb 21, 2022 6:12:53 PM org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource split INFO: Split into 20 bundles of sizes: [org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@611a990b, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@7cbeac65, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@7fe82967, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@50850539, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@65e21ce3, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@6c3659be, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@522bf64e, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@2aff9dff, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@5f0f9947, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@1aad0b1, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@c3edf4c, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@5af8bb51, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@799ed4e8, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@2e66bc32, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@54d8c20d, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@4b65d9f4, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@44536de4, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@5fcfde70, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@4d95a72e, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@28da7d11] Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Collect start time metrics as step s3 Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Total bytes monitor as step s4 Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Window.Into()/Window.Assign as step s5 Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Group by key (0) as step s6 Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Ungroup and reiterate (0) as step s7 Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Collect end time metrics (0) as step s8 Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.38.0-SNAPSHOT Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-02-21_10_12_53-9344935893885420069?project=apache-beam-testing Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-02-21_10_12_53-9344935893885420069 Feb 21, 2022 6:12:53 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To cancel the job using the 'gcloud' tool, run: > gcloud dataflow jobs --project=apache-beam-testing cancel > --region=us-central1 2022-02-21_10_12_53-9344935893885420069 Feb 21, 2022 6:13:00 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-02-21T18:12:59.536Z: 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: load0tests0java110dataflow0v20streaming0gbk01-jenkins-0221-prpi. 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 Feb 21, 2022 6:13:04 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:03.535Z: Worker configuration: e2-standard-2 in us-central1-b. Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.355Z: Expanding SplittableParDo operations into optimizable parts. Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.435Z: Expanding CollectionToSingleton operations into optimizable parts. Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.509Z: Expanding CoGroupByKey operations into optimizable parts. Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.568Z: Expanding SplittableProcessKeyed operations into optimizable parts. Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.620Z: Expanding GroupByKey operations into streaming Read/Write steps Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.677Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.789Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.821Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.855Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.901Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.926Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:04.958Z: Fusing consumer Collect start time metrics/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:05.014Z: Fusing consumer Total bytes monitor/ParMultiDo(ByteMonitor) into Collect start time metrics/ParMultiDo(TimeMonitor) Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:05.053Z: Fusing consumer Window.Into()/Window.Assign into Total bytes monitor/ParMultiDo(ByteMonitor) Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:05.076Z: Fusing consumer Group by key (0)/WriteStream into Window.Into()/Window.Assign Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:05.106Z: Fusing consumer Group by key (0)/MergeBuckets into Group by key (0)/ReadStream Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:05.139Z: Fusing consumer Ungroup and reiterate (0)/ParMultiDo(UngroupAndReiterate) into Group by key (0)/MergeBuckets Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:05.175Z: Fusing consumer Collect end time metrics (0)/ParMultiDo(TimeMonitor) into Ungroup and reiterate (0)/ParMultiDo(UngroupAndReiterate) Feb 21, 2022 6:13:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:05.281Z: Running job using Streaming Engine Feb 21, 2022 6:13:07 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:05.504Z: Starting 5 ****s in us-central1-b... Feb 21, 2022 6:13:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:18.073Z: 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 21, 2022 6:13:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:13:51.091Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 6:14:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:14:52.981Z: Workers have started successfully. Feb 21, 2022 6:14:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:14:53.043Z: Workers have started successfully. Feb 21, 2022 6:48:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:48:57.138Z: 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. Feb 21, 2022 6:51:03 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:51:02.089Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 6:51:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:51:52.241Z: 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. Feb 21, 2022 6:58:08 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:58:07.621Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 6:59:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T18:59:05.488Z: 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. Feb 21, 2022 7:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:00:10.130Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:03:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:03:09.996Z: 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. Feb 21, 2022 7:06:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:06:04.937Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:08:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:08:13.908Z: 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. Feb 21, 2022 7:13:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:13:08.881Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:14:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:14:18.244Z: 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. Feb 21, 2022 7:15:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:15:21.885Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:17:25 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:17:25.065Z: 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. Feb 21, 2022 7:18:29 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:18:28.346Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:21:31 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:21:29.832Z: 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. Feb 21, 2022 7:23:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:23:33.504Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:25:34 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:25:33.697Z: 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. Feb 21, 2022 7:27:37 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:27:36.315Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:29:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:29:39.590Z: 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. Feb 21, 2022 7:31:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:31:53.127Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:33:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:33:46.540Z: 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. Feb 21, 2022 7:37:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:37:41.472Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:40:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:40:51.191Z: 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. Feb 21, 2022 7:42:56 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:42:54.188Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:43:59 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:43:59.017Z: 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. Feb 21, 2022 7:45:59 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:45:57.717Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:50:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:50:02.909Z: 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. Feb 21, 2022 7:51:08 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:51:07.682Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:52:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:52:05.809Z: 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. Feb 21, 2022 7:55:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:55:10.819Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 7:58:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:58:09.749Z: 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. Feb 21, 2022 7:59:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T19:59:12.959Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:03:18 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:03:16.439Z: 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. Feb 21, 2022 8:04:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:04:15.800Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:07:09 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:07:09.058Z: 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. Feb 21, 2022 8:12:24 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:12:24.480Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:13:33 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:13:33.070Z: 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. Feb 21, 2022 8:16:28 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:16:27.280Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:17:31 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:17:31.011Z: 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. Feb 21, 2022 8:20:36 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:20:36.076Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:21:37 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:21:35.615Z: 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. Feb 21, 2022 8:22:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:22:40.901Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:24:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:24:42.722Z: 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. Feb 21, 2022 8:29:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:29:48.603Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:30:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:30:48.573Z: 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. Feb 21, 2022 8:31:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:31:49.249Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:32:55 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:32:54.318Z: 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. Feb 21, 2022 8:33:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:33:52.703Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:39:59 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:39:58.340Z: 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. Feb 21, 2022 8:40:58 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:40:57.489Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:43:02 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:43:01.249Z: 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. Feb 21, 2022 8:44:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:44:05.669Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:45:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:45:10.962Z: 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. Feb 21, 2022 8:48:31 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:48:29.996Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:51:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:51:13.778Z: 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. Feb 21, 2022 8:52:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:52:03.836Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 21, 2022 8:53:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:53:18.728Z: 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. Feb 21, 2022 8:54:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-21T20:54:18.735Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. FATAL: command execution failed java.io.IOException: Backing channel 'apache-beam-jenkins-15' is disconnected. at hudson.remoting.RemoteInvocationHandler.channelOrFail(RemoteInvocationHandler.java:216) at hudson.remoting.RemoteInvocationHandler.invoke(RemoteInvocationHandler.java:286) at com.sun.proxy.$Proxy121.isAlive(Unknown Source) at hudson.Launcher$RemoteLauncher$ProcImpl.isAlive(Launcher.java:1213) at hudson.Launcher$RemoteLauncher$ProcImpl.join(Launcher.java:1205) at hudson.Launcher$ProcStarter.join(Launcher.java:522) at hudson.plugins.gradle.Gradle.perform(Gradle.java:317) at hudson.tasks.BuildStepMonitor$1.perform(BuildStepMonitor.java:20) at hudson.model.AbstractBuild$AbstractBuildExecution.perform(AbstractBuild.java:806) at hudson.model.Build$BuildExecution.build(Build.java:198) at hudson.model.Build$BuildExecution.doRun(Build.java:163) at hudson.model.AbstractBuild$AbstractBuildExecution.run(AbstractBuild.java:514) at hudson.model.Run.execute(Run.java:1888) at hudson.model.FreeStyleBuild.run(FreeStyleBuild.java:43) at hudson.model.ResourceController.execute(ResourceController.java:99) at hudson.model.Executor.run(Executor.java:432) Caused by: java.io.IOException: Pipe closed after 0 cycles at org.apache.sshd.common.channel.ChannelPipedInputStream.read(ChannelPipedInputStream.java:126) at org.apache.sshd.common.channel.ChannelPipedInputStream.read(ChannelPipedInputStream.java:105) at hudson.remoting.FlightRecorderInputStream.read(FlightRecorderInputStream.java:93) at hudson.remoting.ChunkedInputStream.readHeader(ChunkedInputStream.java:74) at hudson.remoting.ChunkedInputStream.readUntilBreak(ChunkedInputStream.java:104) at hudson.remoting.ChunkedCommandTransport.readBlock(ChunkedCommandTransport.java:39) at hudson.remoting.AbstractSynchronousByteArrayCommandTransport.read(AbstractSynchronousByteArrayCommandTransport.java:34) at hudson.remoting.SynchronousCommandTransport$ReaderThread.run(SynchronousCommandTransport.java:61) Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure ERROR: apache-beam-jenkins-15 is offline; cannot locate jdk_1.8_latest --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
