[jira] [Updated] (BEAM-11061) BigQuery IO - Storage: Fraction consumed decreasing between responses

["Jonas Grabber (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-11061?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jonas Grabber updated BEAM-11061:
---------------------------------
    Summary: BigQuery IO - Storage: Fraction consumed decreasing between responses  (was: BigQuery IO - Storage: Fraction consumed shrinking between responses)

> BigQuery IO - Storage: Fraction consumed decreasing between responses
> ---------------------------------------------------------------------
>
>                 Key: BEAM-11061
>                 URL: https://issues.apache.org/jira/browse/BEAM-11061
>             Project: Beam
>          Issue Type: Bug
>          Components: io-java-gcp
>    Affects Versions: 2.23.0
>            Reporter: Jonas Grabber
>            Priority: P2
>
> When reading a couple of million rows (and above 100 Gigabytes) from BigQuery Storage (DIRECT_READ) with Dataflow and above 8 vCPUs (4x n1-standard-4) the attached exception is thrown about once per vCPU.
> The issue seems to be that the value of fraction_consumed in the [StreamStatus|https://cloud.google.com/bigquery/docs/reference/storage/rpc/google.cloud.bigquery.storage.v1beta1#streamstatus] object returned from the Storage API decreased between responses.
> I tested this repeatedly with varying amounts of input data, number of workers and machine types and was able to reproduce the issue repeatedly with different configurations above 8 vCPUs used (16, 32, 128 and n1-standard-4, n1-standard-8, and n1-standard-16).
> So far Jobs with 8 vCPUs ran fine.
> {{Error message from worker: java.io.IOException: Failed to advance reader of source: name: "projects/REDACTED/locations/eu/streams/REDACTED" org.apache.beam.runners.dataflow.worker.WorkerCustomSources$BoundedReaderIterator.advance(WorkerCustomSources.java:620) org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation$SynchronizedReaderIterator.advance(ReadOperation.java:399) org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:194) org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:159) org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:77) org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:417) org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:386) org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:311) org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:140) org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:120) org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:107) java.util.concurrent.FutureTask.run(FutureTask.java:266) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) java.lang.Thread.run(Thread.java:748) Caused by: java.lang.IllegalArgumentException: Fraction consumed from the current response (0.7945484519004822) has to be larger than or equal to the fraction consumed from the previous response (0.8467302322387695). org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkArgument(Preconditions.java:440) org.apache.beam.sdk.io.gcp.bigquery.BigQueryStorageStreamSource$BigQueryStorageStreamReader.readNextRecord(BigQueryStorageStreamSource.java:242) org.apache.beam.sdk.io.gcp.bigquery.BigQueryStorageStreamSource$BigQueryStorageStreamReader.advance(BigQueryStorageStreamSource.java:211) org.apache.beam.runners.dataflow.worker.WorkerCustomSources$BoundedReaderIterator.advance(WorkerCustomSources.java:617) ... 14 more}}



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