出现此错误的原因是因为Kryo序列化在处理POJO类时遇到了无法序列化的字段或方法。解决此问题,需要在POJO类中使用注释将无需序列化的字段或方法排除在序列化范围之外。
以下是一个示例,演示如何在POJO类中使用注释来处理此问题:
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.common.serialization.SerializationSchema;
import org.apache.flink.api.java.functions.FunctionAnnotation.ForwardedFields;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.api.java.typeutils.runtime.kryo.Serializers;
import org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.ObjectMapper;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer;
import org.apache.flink.streaming.util.serialization.KeyedSerializationSchema;
import java.util.Properties;
public class MyApp {
public static void main(String[] args) throws Exception {
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(1);
Properties props = new Properties();
props.setProperty("bootstrap.servers", "localhost:9092");
props.setProperty("group.id", "test");
DataStream stream = env
.addSource(new FlinkKafkaConsumer<>("my-topic", new CustomDeserializationSchema(), props));
DataStream outputStream = stream
.map(new CustomMapFunction())
.keyBy(tuple -> tuple.f0)
.addSink(new FlinkKafkaProducer<>("my-other-topic", new CustomSerializationSchema("my-other-topic"), props));
env.execute("MyApp");
}
private static class CustomDeserializationSchema implements DeserializationSchema {
private static final long serialVersionUID = 1L;
private final ObjectMapper objectMapper = new ObjectMapper();
@Override
public String deserialize(byte[] message) throws IOException {
return objectMapper.readValue(message, String.class);
}
}
private static class CustomMapFunction