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https://issues.apache.org/jira/browse/FLINK-12410?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17040182#comment-17040182
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Alexey Trenikhin commented on FLINK-12410:
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If it is treated as GenericType, then it is serialized via Kryo. So
* it will not work with {{getConfig().disableGenericTypes();}}
* no schema evolution for KafkaTopicPartition
> KafkaTopicPartition cannot be used as a POJO type because not all fields are
> valid POJO fields
> ----------------------------------------------------------------------------------------------
>
> Key: FLINK-12410
> URL: https://issues.apache.org/jira/browse/FLINK-12410
> Project: Flink
> Issue Type: Bug
> Components: Connectors / Kafka
> Affects Versions: 1.8.0
> Reporter: Chethan UK
> Priority: Minor
>
> While Pushing data to Kafka Topic using Pojo, there is an error: "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"
> {code:java}
> // code placeholder
> 09:18:27,633 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
> 09:18:27,634 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.
> 09:18:27,633 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
> 09:18:27,635 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.
> 09:18:27,635 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
> 09:18:27,636 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.
> 09:18:27,639 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
> 09:18:27,642 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.
> 09:18:27,654 INFO
> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase - No
> restore state for FlinkKafkaConsumer.
> 09:18:27,655 INFO
> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase - No
> restore state for FlinkKafkaConsumer.
> 09:18:27,655 INFO
> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase - No
> restore state for FlinkKafkaConsumer.
> 09:18:27,654 INFO
> org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase - No
> restore state for FlinkKafkaConsumer.
> {code}
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