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https://issues.apache.org/jira/browse/FLINK-25238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Seth Wiesman closed FLINK-25238.
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Resolution: Won't Fix
> flink iceberg source reading array types fail with Cast Exception
> -----------------------------------------------------------------
>
> Key: FLINK-25238
> URL: https://issues.apache.org/jira/browse/FLINK-25238
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / Runtime
> Affects Versions: 1.13.2
> Reporter: Praneeth Ramesh
> Priority: Major
> Attachments: Screen Shot 2021-12-09 at 6.58.56 PM.png, Screen Shot
> 2021-12-09 at 7.04.10 PM.png
>
>
> I have a stream with iceberg table as a source. I have few columns of array
> types in the table.
> I try to read using iceberg connector.
> Flink Version : 1.13.2
> Iceberg Flink Version: 0.12.1
>
> I see the error as below.
> java.lang.ClassCastException: class
> org.apache.iceberg.flink.data.FlinkParquetReaders$ReusableArrayData cannot be
> cast to class org.apache.flink.table.data.ColumnarArrayData
> (org.apache.iceberg.flink.data.FlinkParquetReaders$ReusableArrayData and
> org.apache.flink.table.data.ColumnarArrayData are in unnamed module of loader
> 'app')
> at
> org.apache.flink.table.runtime.typeutils.ArrayDataSerializer.copy(ArrayDataSerializer.java:90)
> at
> org.apache.flink.table.runtime.typeutils.ArrayDataSerializer.copy(ArrayDataSerializer.java:47)
> at
> org.apache.flink.table.runtime.typeutils.RowDataSerializer.copyRowData(RowDataSerializer.java:170)
> at
> org.apache.flink.table.runtime.typeutils.RowDataSerializer.copy(RowDataSerializer.java:131)
> at
> org.apache.flink.table.runtime.typeutils.RowDataSerializer.copy(RowDataSerializer.java:48)
> at
> org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:69)
> at
> org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:46)
> at
> org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:26)
> at
> org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:50)
> at
> org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:28)
> at
> org.apache.flink.streaming.api.operators.StreamSourceContexts$ManualWatermarkContext.processAndCollect(StreamSourceContexts.java:317)
> at
> org.apache.flink.streaming.api.operators.StreamSourceContexts$WatermarkContext.collect(StreamSourceContexts.java:411)
> at
> org.apache.iceberg.flink.source.StreamingReaderOperator.processSplits(StreamingReaderOperator.java:155)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$1.runThrowing(StreamTaskActionExecutor.java:50)
> at org.apache.flink.streaming.runtime.tasks.mailbox.Mail.run(Mail.java:90)
> at
> org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.processMailsNonBlocking(MailboxProcessor.java:359)
> at
> org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.processMail(MailboxProcessor.java:323)
> at
> org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:202)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:681)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.executeInvoke(StreamTask.java:636)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.runWithCleanUpOnFail(StreamTask.java:647)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:620)
> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:779)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:566)
> at java.base/java.lang.Thread.run(Thread.java:834)
>
> Could be same issue as https://issues.apache.org/jira/browse/FLINK-21247
> except it happening for another type.
> I see that Iceberg use custom types other than the types from
> org.apache.flink.table.data like
> org.apache.iceberg.flink.data.FlinkParquetReaders.ReusableArrayData and these
> types are not handled in
> org.apache.flink.table.runtime.typeutils.ArrayDataSerializer
> !Screen Shot 2021-12-09 at 6.58.56 PM.png!
> Just to try I changed the above code to handle the iceberg type as a binary
> Array and built it locally and used in my application and that worked.
>
> !Screen Shot 2021-12-09 at 7.04.10 PM.png!
> Not sure if this is already handled in some newer versions.
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