clongnguyen6 opened a new issue, #31422:
URL: https://github.com/apache/beam/issues/31422
### What happened?
I am running a Beam pipeline in Google Dataflow (Beam SDK version `2.56.0`)
that reads messages from Pub/Sub and writes data to a BigQuery table using the
STORAGE_WRITE_API method.
This is the BigQueryIO configuration I'm using:
```
BigQueryIO.write<KV<String, TableRow>>().to(
BigQueryDestination(...)
)
.withFormatFunction { it.value } // Get TableRow
.withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED)
.withWriteDisposition(BigQueryIO.Write.WriteDisposition.WRITE_APPEND)
.withFailedInsertRetryPolicy(InsertRetryPolicy.retryTransientErrors())
.withMethod(BigQueryIO.Write.Method.STORAGE_WRITE_API)
.withTriggeringFrequency(Duration.standardMinutes(5))
.withAutoSharding()
.ignoreUnknownValues()
```
I observed an IllegalStateException error in the pipeline logs when running
the load test:
```
Error message from worker: java.lang.RuntimeException:
java.lang.IllegalStateException
org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.lambda$process$12(StorageApiWritesShardedRecords.java:608)
org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.process(StorageApiWritesShardedRecords.java:869)
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$WriteStreamServiceImpl$1.pin(BigQueryServicesImpl.java:1459)
org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.lambda$process$12(StorageApiWritesShardedRecords.java:600)
org.apache.beam.sdk.io.gcp.bigquery.StorageApiWritesShardedRecords$WriteRecordsDoFn.process(StorageApiWritesShardedRecords.java:869)
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:212)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:186)
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:276)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:86)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.outputWindowedValue(SimpleDoFnRunner.java:449)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.outputWithTimestamp(SimpleDoFnRunner.java:439)
org.apache.beam.sdk.transforms.DoFnOutputReceivers$WindowedContextOutputReceiver.outputWithTimestamp(DoFnOutputReceivers.java:98)
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:212)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:186)
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:1238)
org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.lambda$scheduleWorkItem$11(StreamingDataflowWorker.java:974)
org.apache.beam.runners.dataflow.worker.streaming.Work.run(Work.java:81)
org.apache.beam.runners.dataflow.worker.util.BoundedQueueExecutor.lambda$executeMonitorHeld$0(BoundedQueueExecutor.java:232)
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
java.base/java.lang.Thread.run(Thread.java:829)
```
### Issue Priority
Priority: 2 (default / most bugs should be filed as P2)
### Issue Components
- [ ] Component: Python SDK
- [X] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [ ] Component: IO connector
- [ ] Component: Beam YAML
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
- [ ] Component: Website
- [ ] Component: Spark Runner
- [ ] Component: Flink Runner
- [ ] Component: Samza Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [ ] Component: Google Cloud Dataflow Runner
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