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[Bug]: IcebergIO fails when the table's partition layout is changed at runtime #32862

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3 of 17 tasks
DanielMorales9 opened this issue Oct 18, 2024 · 1 comment · Fixed by #32879
Closed
3 of 17 tasks

[Bug]: IcebergIO fails when the table's partition layout is changed at runtime #32862

DanielMorales9 opened this issue Oct 18, 2024 · 1 comment · Fixed by #32879
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@ahmedabu98
Labels
bug IcebergIO IcebergIO: can only be used through ManagedIO P2
Milestone
2.61.0 Release

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@DanielMorales9
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DanielMorales9 commented Oct 18, 2024 •
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What happened?

A Streaming pipeline continuously fires the below RuntimeException when the partition layout of an Iceberg table is modified during execution.

SEVERE: 2024-10-18T13:53:19.171Z: java.lang.RuntimeException: org.apache.beam.sdk.util.UserCodeException: java.lang.IllegalStateException: Invalid partition spec id '1'. This DataFile was originally created with spec id '0'.
        org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:187)
        org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:108)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.lambda$onTrigger$1(ReduceFnRunner.java:1058)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnContextFactory$OnTriggerContextImpl.output(ReduceFnContextFactory.java:445)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SystemReduceFn.onTrigger(SystemReduceFn.java:130)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.onTrigger(ReduceFnRunner.java:1061)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.emit(ReduceFnRunner.java:932)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.onTimers(ReduceFnRunner.java:793)
        org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:97)
        org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:43)
        org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:121)
        org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:80)
        org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:137)
        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.streaming.ComputationWorkExecutor.executeWork(ComputationWorkExecutor.java:78)
        org.apache.beam.runners.dataflow.worker.windmill.work.processing.StreamingWorkScheduler.executeWork(StreamingWorkScheduler.java:382)
        org.apache.beam.runners.dataflow.worker.windmill.work.processing.StreamingWorkScheduler.processWork(StreamingWorkScheduler.java:255)
        org.apache.beam.runners.dataflow.worker.windmill.work.processing.StreamingWorkScheduler.lambda$processWork$4(StreamingWorkScheduler.java:269)
        org.apache.beam.runners.dataflow.worker.streaming.ExecutableWork.run(ExecutableWork.java:38)
        org.apache.beam.runners.dataflow.worker.util.BoundedQueueExecutor.lambda$executeMonitorHeld$0(BoundedQueueExecutor.java:234)
        java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
        java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
        java.base/java.lang.Thread.run(Thread.java:829)
Caused by: org.apache.beam.sdk.util.UserCodeException: java.lang.IllegalStateException: Invalid partition spec id '1'. This DataFile was originally created with spec id '0'.
        org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:39)
        org.apache.beam.sdk.io.iceberg.AppendFilesToTables$AppendFilesToTablesDoFn$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.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:185)
        org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:108)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.lambda$onTrigger$1(ReduceFnRunner.java:1058)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnContextFactory$OnTriggerContextImpl.output(ReduceFnContextFactory.java:445)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SystemReduceFn.onTrigger(SystemReduceFn.java:130)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.onTrigger(ReduceFnRunner.java:1061)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.emit(ReduceFnRunner.java:932)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.onTimers(ReduceFnRunner.java:793)
        org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:97)
        org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:43)
        org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:121)
        org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
        org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:80)
        org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:137)
        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.streaming.ComputationWorkExecutor.executeWork(ComputationWorkExecutor.java:78)
        org.apache.beam.runners.dataflow.worker.windmill.work.processing.StreamingWorkScheduler.executeWork(StreamingWorkScheduler.java:382)
        org.apache.beam.runners.dataflow.worker.windmill.work.processing.StreamingWorkScheduler.processWork(StreamingWorkScheduler.java:255)
        org.apache.beam.runners.dataflow.worker.windmill.work.processing.StreamingWorkScheduler.lambda$processWork$4(StreamingWorkScheduler.java:269)
        org.apache.beam.runners.dataflow.worker.streaming.ExecutableWork.run(ExecutableWork.java:38)
        org.apache.beam.runners.dataflow.worker.util.BoundedQueueExecutor.lambda$executeMonitorHeld$0(BoundedQueueExecutor.java:234)
        java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
        java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
        java.base/java.lang.Thread.run(Thread.java:829)
Caused by: java.lang.IllegalStateException: Invalid partition spec id '1'. This DataFile was originally created with spec id '0'.
        org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:686)
        org.apache.beam.sdk.io.iceberg.SerializableDataFile.createDataFile(SerializableDataFile.java:145)
        org.apache.beam.sdk.io.iceberg.FileWriteResult.getDataFile(FileWriteResult.java:51)
        org.apache.beam.sdk.io.iceberg.AppendFilesToTables$AppendFilesToTablesDoFn.processElement(AppendFilesToTables.java:115)
Oct 18, 2024 3:53:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process

Issue Priority

Priority: 2 (default / most bugs should be filed as P2)

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@github-actions github-actions bot added the P2 label Oct 18, 2024
@DanielMorales9 DanielMorales9 changed the title [Bug]: IcebergIO fails when partition layout is changed on Iceberg table at runtime [Bug]: IcebergIO fails when partition layout is changed on table at runtime Oct 18, 2024
@DanielMorales9 DanielMorales9 changed the title [Bug]: IcebergIO fails when partition layout is changed on table at runtime [Bug]: IcebergIO fails when the table's partition layout is changed at runtime Oct 18, 2024
@liferoad liferoad added IcebergIO IcebergIO: can only be used through ManagedIO and removed awaiting triage labels Oct 18, 2024
@ahmedabu98 ahmedabu98 mentioned this issue Oct 18, 2024
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Hey @DanielMorales9 👋🏽

Can you take a take a look at #32879 ?

@github-actions github-actions bot added this to the 2.61.0 Release milestone Nov 5, 2024
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Labels
bug IcebergIO IcebergIO: can only be used through ManagedIO P2
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Milestone
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[Managed Iceberg] Allow updating partition specs during pipeline runtime ahmedabu98/beam
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@DanielMorales9 @liferoad @ahmedabu98