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https://issues.apache.org/jira/browse/FLINK-21876?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17322793#comment-17322793
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Flink Jira Bot commented on FLINK-21876:
----------------------------------------

This issue is assigned but has not received an update in 7 days so it has been 
labeled "stale-assigned". If you are still working on the issue, please give an 
update and remove the label. If you are no longer working on the issue, please 
unassign so someone else may work on it. In 7 days the issue will be 
automatically unassigned.

> Handle it properly when the returned value of Python UDF doesn't match the 
> defined result type
> ----------------------------------------------------------------------------------------------
>
>                 Key: FLINK-21876
>                 URL: https://issues.apache.org/jira/browse/FLINK-21876
>             Project: Flink
>          Issue Type: Improvement
>          Components: API / Python
>    Affects Versions: 1.10.0, 1.11.0, 1.12.0
>            Reporter: Dian Fu
>            Assignee: Dian Fu
>            Priority: Major
>              Labels: stale-assigned
>             Fix For: 1.13.0, 1.12.3
>
>
> Currently, when the returned value of Python UDF doesn't match the defined 
> result type of the Python UDF, it will thrown the following exception during 
> execution:
> {code:java}
> Caused by: java.io.EOFException
> at java.io.DataInputStream.readFully(DataInputStream.java:197)
> at java.io.DataInputStream.readFully(DataInputStream.java:169)
> at 
> org.apache.flink.table.runtime.typeutils.StringDataSerializer.deserializeInternal(StringDataSerializer.java:88)
> at 
> org.apache.flink.table.runtime.typeutils.StringDataSerializer.deserialize(StringDataSerializer.java:82)
> at 
> org.apache.flink.table.runtime.typeutils.StringDataSerializer.deserialize(StringDataSerializer.java:34)
> at 
> org.apache.flink.table.runtime.typeutils.serializers.python.MapDataSerializer.deserializeInternal(MapDataSerializer.java:129)
> at 
> org.apache.flink.table.runtime.typeutils.serializers.python.MapDataSerializer.deserialize(MapDataSerializer.java:110)
> at 
> org.apache.flink.table.runtime.typeutils.serializers.python.MapDataSerializer.deserialize(MapDataSerializer.java:46)
> at 
> org.apache.flink.table.runtime.typeutils.serializers.python.RowDataSerializer.deserialize(RowDataSerializer.java:106)
> at 
> org.apache.flink.table.runtime.typeutils.serializers.python.RowDataSerializer.deserialize(RowDataSerializer.java:49)
> at 
> org.apache.flink.table.runtime.operators.python.scalar.RowDataPythonScalarFunctionOperator.emitResult(RowDataPythonScalarFunctionOperator.java:81)
> at 
> org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator.emitResults(AbstractPythonFunctionOperator.java:250)
> at 
> org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator.invokeFinishBundle(AbstractPythonFunctionOperator.java:273)
> at 
> org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator.processWatermark(AbstractPythonFunctionOperator.java:199)
> at 
> org.apache.flink.streaming.runtime.tasks.ChainingOutput.emitWatermark(ChainingOutput.java:123)
> at 
> org.apache.flink.streaming.runtime.tasks.SourceOperatorStreamTask$AsyncDataOutputToOutput.emitWatermark(SourceOperatorStreamTask.java:170)
> at 
> org.apache.flink.streaming.runtime.tasks.SourceOperatorStreamTask.advanceToEndOfEventTime(SourceOperatorStreamTask.java:110)
> at 
> org.apache.flink.streaming.runtime.tasks.SourceOperatorStreamTask.afterInvoke(SourceOperatorStreamTask.java:116)
> at 
> org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:589)
> at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:755)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:570)
> at java.lang.Thread.run(Thread.java:748)
> {code}
> The exception isn't straight forward for users and it's difficult for users 
> to figure out the root cause of the issue.
> As Python is dynamic language, this case should be very common and it would 
> be great if we could handle this case properly.
> See 
> [https://stackoverflow.com/questions/66687797/pyflink-java-io-eofexception-at-java-io-datainputstream-readfully]
>  for more details.



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