Praneeth Ramesh created FLINK-25238: ---------------------------------------
Summary: 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 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. -- This message was sent by Atlassian Jira (v8.20.1#820001)