This is the stack trace of the rethrown exception. The log should also contain a "caused by" log somewhere detailing the original exception. Do you happen to have that?
On Thu, Dec 7, 2023 at 8:46 AM hsy...@gmail.com <hsy...@gmail.com> wrote: > Here is the complete stacktrace It doesn't even hit my code and it > happens consistently! > > Error message from worker: java.lang.RuntimeException: > java.lang.IllegalStateException > org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.lambda$process$12(StorageApiWritesShardedRecords.java:573) > org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.process(StorageApiWritesShardedRecords.java:790) > Caused by: java.lang.IllegalStateException > org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:496) > org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$DatasetServiceImpl$1.pin(BigQueryServicesImpl.java:1403) > org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.lambda$process$12(StorageApiWritesShardedRecords.java:565) > org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.process(StorageApiWritesShardedRecords.java:790) > org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn$DoFnInvoker.invokeProcessElement(Unknown > Source) > org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:211) > org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:185) > org.apache.beam.runners.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:340) > org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44) > org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:54) > org.apache.beam.runners.dataflow.worker.SimpleParDoFn$1.output(SimpleParDoFn.java:285) > org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.outputWindowedValue(SimpleDoFnRunner.java:275) > org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:85) > org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.outputWithTimestamp(SimpleDoFnRunner.java:430) > org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.outputWithTimestamp(DoFnOutputReceivers.java:85) > org.apache.beam.sdk.transforms.GroupIntoBatches$GroupIntoBatchesDoFn.flushBatch(GroupIntoBatches.java:660) > org.apache.beam.sdk.transforms.GroupIntoBatches$GroupIntoBatchesDoFn.processElement(GroupIntoBatches.java:518) > org.apache.beam.sdk.transforms.GroupIntoBatches$GroupIntoBatchesDoFn$DoFnInvoker.invokeProcessElement(Unknown > Source) > org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:211) > org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:185) > org.apache.beam.runners.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:340) > org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44) > org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:54) > org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:218) > org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:169) > org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:83) > org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1433) > org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$800(StreamingDataflowWorker.java:155) > org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$4.run(StreamingDataflowWorker.java:1056) > org.apache.beam.runners.dataflow.worker.util.BoundedQueueExecutor.lambda$executeLockHeld$0(BoundedQueueExecutor.java:163) > java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) > java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) > java.base/java.lang.Thread.run(Thread.java:834) > > Regards, > Siyuan > > On Wed, Dec 6, 2023 at 10:12 AM Ahmed Abualsaud <ahmedabuals...@google.com> > wrote: > >> Hey, can you provide the full stack trace for the error you're seeing? >> Also is this happening consistently? >> >> *+1* to raising a Google ticket where we'll have more visibility. >> >> On Wed, Dec 6, 2023 at 11:33 AM John Casey <theotherj...@google.com> >> wrote: >> >>> Hmm. It may be best if you raise a ticket with Google support for this. >>> I can inspect your job directly if you do that, and that will make this >>> more straightforward. >>> >>> On Wed, Dec 6, 2023 at 11:24 AM hsy...@gmail.com <hsy...@gmail.com> >>> wrote: >>> >>>> I’m just using dataflow engine >>>> On Wed, Dec 6, 2023 at 08:23 John Casey via user <user@beam.apache.org> >>>> wrote: >>>> >>>>> Well, that is odd. It looks like the underlying client is closed, >>>>> which is unexpected. >>>>> >>>>> Do you see any retries in your pipeline? Also, what runner are you >>>>> using? >>>>> >>>>> @Ahmed Abualsaud <ahmedabuals...@google.com> this might be >>>>> interesting to you too >>>>> >>>>> On Tue, Dec 5, 2023 at 9:39 PM hsy...@gmail.com <hsy...@gmail.com> >>>>> wrote: >>>>> >>>>>> I'm using version 2.51.0 and The configuration is like this >>>>>> >>>>>> write >>>>>> .withoutValidation() >>>>>> >>>>>> .withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_NEVER) >>>>>> .withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND) >>>>>> .withExtendedErrorInfo() >>>>>> .withMethod(Write.Method.STORAGE_WRITE_API) >>>>>> .withTriggeringFrequency(Duration.standardSeconds(10)) >>>>>> .withAutoSharding().optimizedWrites() >>>>>> .withFailedInsertRetryPolicy(retryTransientErrors()); >>>>>> >>>>>> >>>>>> On Tue, Dec 5, 2023 at 11:20 AM John Casey via user < >>>>>> user@beam.apache.org> wrote: >>>>>> >>>>>>> Hi, >>>>>>> >>>>>>> Could you add some more detail? Which beam version are you using? >>>>>>> >>>>>>> >>>>>>> On Tue, Dec 5, 2023 at 1:52 PM hsy...@gmail.com <hsy...@gmail.com> >>>>>>> wrote: >>>>>>> >>>>>>>> Any one has experience in writing to BQ using storage api >>>>>>>> >>>>>>>> I tried to use it because according to the document it is more >>>>>>>> efficient >>>>>>>> but I got error below >>>>>>>> >>>>>>>> 2023-12-05 04:01:29.741 PST >>>>>>>> Error message from worker: java.lang.RuntimeException: >>>>>>>> java.lang.IllegalStateException >>>>>>>> org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.lambda$process$12(StorageApiWritesShardedRecords.java:573) >>>>>>>> org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.process(StorageApiWritesShardedRecords.java:790) >>>>>>>> Caused by: java.lang.IllegalStateException >>>>>>>> org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:496) >>>>>>>> org.apache.beam.sdk.io.gcp.bigquery.BigQueryServicesImpl$DatasetServiceImpl$1.pin(BigQueryServicesImpl.java:1403) >>>>>>>> org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.lambda$process$12(StorageApiWritesShardedRecords.java:565) >>>>>>>> org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.process(StorageApiWritesShardedRecords.java:790) >>>>>>>> org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn$DoFnInvoker.invokeProcessElement(Unknown >>>>>>>> Source) >>>>>>>> >>>>>>>
