[jira] [Created] (FLINK-11911) KafkaTopicPartition is not a valid POJO

[Shang Yuanchun (Jira)]

Fokko Driesprong created FLINK-11911:
----------------------------------------

             Summary: KafkaTopicPartition is not a valid POJO
                 Key: FLINK-11911
                 URL: https://issues.apache.org/jira/browse/FLINK-11911
             Project: Flink
          Issue Type: Bug
          Components: Connectors / Kafka
    Affects Versions: 1.7.2
            Reporter: Fokko Driesprong
            Assignee: Fokko Driesprong
             Fix For: 1.8.0


KafkaTopicPartition is not a POJO, and therefore it cannot be serialized efficiently. This is using the KafkaDeserializationSchema.

When enforcing POJO's:
```
java.lang.UnsupportedOperationException: Generic types have been disabled in the ExecutionConfig and type org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition is treated as a generic type.
        at org.apache.flink.api.java.typeutils.GenericTypeInfo.createSerializer(GenericTypeInfo.java:86)
        at org.apache.flink.api.java.typeutils.TupleTypeInfo.createSerializer(TupleTypeInfo.java:107)
        at org.apache.flink.api.java.typeutils.TupleTypeInfo.createSerializer(TupleTypeInfo.java:52)
        at org.apache.flink.api.java.typeutils.ListTypeInfo.createSerializer(ListTypeInfo.java:102)
        at org.apache.flink.api.common.state.StateDescriptor.initializeSerializerUnlessSet(StateDescriptor.java:288)
        at org.apache.flink.runtime.state.DefaultOperatorStateBackend.getListState(DefaultOperatorStateBackend.java:289)
        at org.apache.flink.runtime.state.DefaultOperatorStateBackend.getUnionListState(DefaultOperatorStateBackend.java:219)
        at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.initializeState(FlinkKafkaConsumerBase.java:856)
        at org.apache.flink.streaming.util.functions.StreamingFunctionUtils.tryRestoreFunction(StreamingFunctionUtils.java:178)
        at org.apache.flink.streaming.util.functions.StreamingFunctionUtils.restoreFunctionState(StreamingFunctionUtils.java:160)
        at org.apache.flink.streaming.api.operators.AbstractUdfStreamOperator.initializeState(AbstractUdfStreamOperator.java:96)
        at org.apache.flink.streaming.api.operators.AbstractStreamOperator.initializeState(AbstractStreamOperator.java:278)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.initializeState(StreamTask.java:738)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:289)
        at org.apache.flink.runtime.taskmanager.Task.run(Task.java:711)
        at java.lang.Thread.run(Thread.java:748)
```

And in the logs:
```
2019-03-13 16:41:28,217 INFO  org.apache.flink.api.java.typeutils.TypeExtractor             - class org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition does not contain a setter for field topic
2019-03-13 16:41:28,221 INFO  org.apache.flink.api.java.typeutils.TypeExtractor             - Class class org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition cannot be used as a POJO type because not all fields are valid POJO fields, and must be processed as GenericType. Please read the Flink documentation on "Data Types & Serialization" for details of the effect on performance.
```



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