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https://issues.apache.org/jira/browse/BEAM-14551?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17550128#comment-17550128
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Danny McCormick commented on BEAM-14551:
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This issue has been migrated to https://github.com/apache/beam/issues/21690
> Exception from ElasticSearch Write Module in DataFlow
> -----------------------------------------------------
>
> Key: BEAM-14551
> URL: https://issues.apache.org/jira/browse/BEAM-14551
> Project: Beam
> Issue Type: Bug
> Components: io-java-elasticsearch, runner-dataflow
> Affects Versions: 2.39.0
> Reporter: Declan Easton
> Priority: P2
>
> I am seeing the following exception being thrown from the ElasticSearch Write
> module when running my streaming pipeline from Google DataFlow. I am using
> Apache Beam 2.39.0. I hope someone will be able to help me or tell me if this
> is a bug. Thanks a lot.
>
> {code:java}
> 2022-06-02T02:21:07.023945713ZError message from worker:
> java.lang.ClassCastException: class
> org.apache.beam.sdk.transforms.windowing.GlobalWindow cannot be cast to class
> org.apache.beam.sdk.transforms.windowing.IntervalWindow
> (org.apache.beam.sdk.transforms.windowing.GlobalWindow and
> org.apache.beam.sdk.transforms.windowing.IntervalWindow are in unnamed module
> of loader 'app')
> org.apache.beam.sdk.transforms.windowing.IntervalWindow$IntervalWindowCoder.registerByteSizeObserver(IntervalWindow.java:142)
>
> org.apache.beam.sdk.coders.IterableLikeCoder.registerByteSizeObserver(IterableLikeCoder.java:209)
>
> org.apache.beam.sdk.coders.IterableLikeCoder.registerByteSizeObserver(IterableLikeCoder.java:59)
>
> org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.registerByteSizeObserver(WindowedValue.java:640)
>
> org.apache.beam.sdk.util.WindowedValue$FullWindowedValueCoder.registerByteSizeObserver(WindowedValue.java:558)
>
> org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$ElementByteSizeObservableCoder.registerByteSizeObserver(IntrinsicMapTaskExecutorFactory.java:403)
>
> org.apache.beam.runners.dataflow.worker.util.common.worker.OutputObjectAndByteCounter.update(OutputObjectAndByteCounter.java:128)
>
> org.apache.beam.runners.dataflow.worker.DataflowOutputCounter.update(DataflowOutputCounter.java:67)
>
> org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:43)
>
> 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:251)
>
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$900(SimpleDoFnRunner.java:85)
>
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnFinishBundleArgumentProvider$Context.output(SimpleDoFnRunner.java:309)
>
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnFinishBundleArgumentProvider$Context.output(SimpleDoFnRunner.java:304)
>
> org.apache.beam.sdk.io.elasticsearch.ElasticsearchIO$BulkIO$BulkIOBaseFn$FinishBundleContextAdapter.output(ElasticsearchIO.java:2415)
>
> org.apache.beam.sdk.io.elasticsearch.ElasticsearchIO$BulkIO$BulkIOBaseFn.flushAndOutputResults(ElasticsearchIO.java:2422)
>
> org.apache.beam.sdk.io.elasticsearch.ElasticsearchIO$BulkIO$BulkIOBaseFn.finishBundle(ElasticsearchIO.java:2382){code}
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