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https://issues.apache.org/jira/browse/FLINK-11911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17026852#comment-17026852
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Oleksandr Nitavskyi edited comment on FLINK-11911 at 1/30/20 5:19 PM:
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What if we try to use custom TypeInformationFactory
(https://ci.apache.org/projects/flink/flink-docs-stable/dev/types_serialization.html#defining-type-information-using-a-factory),
where we can fallback to Kryo if we deserialize old Kryo state?
was (Author: oleksandr nitavskyi):
Sure, makes sense.
What if we try to use custom TypeInformationFactory
(https://ci.apache.org/projects/flink/flink-docs-stable/dev/types_serialization.html#defining-type-information-using-a-factory),
where we can fallback to Kryo if we deserialize old Kryo state?
> 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: 1.8.0
> Reporter: Fokko Driesprong
> Assignee: Fokko Driesprong
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.10.0
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> 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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