KafkaStreams Serde异常 [英] KafkaStreams serde exception

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本文介绍了KafkaStreams Serde异常的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在使用Kafka和流技术;我已经为KStream创建了自定义序列化器和反序列化器,将用于接收来自给定主题的消息.

i am playing with Kafka and streams technology; i have created a custom serializer and deserializer for the KStream that i will use to receive messages from a given topic.

现在,问题在于我正在以这种方式创建Serde:

Now, the problem is that i am creating a serde in this way:

JsonSerializer<EventMessage> serializer = new JsonSerializer<>();
JsonDeserializer<EventMessage> deserializer = new JsonDeserializer<>(EventMessage.class);
Serde<EventMessage> messageSerde = Serdes.serdeFrom(serializer, deserializer);

Serializer的实现:

Serializer implementation:

public class JsonSerializer<T> implements Serializer<T> {

    private Gson gson = new Gson();

    public void configure(Map<String, ?> map, boolean b) {
    }

    @Override
    public byte[] serialize(String topic, T data) {
        return gson.toJson(data).getBytes(Charset.forName("UTF-8"));
    }

    @Override
    public void close() {

    }
}  

反序列化器的实现:

public class JsonDeserializer<T> implements Deserializer<T> {

    private Gson gson = new Gson();
    private Class<T> deserializedClass;

    public JsonDeserializer() {

    }

    public JsonDeserializer(Class<T> deserializedClass) {
        this.deserializedClass = deserializedClass;
    }

    @Override
    @SuppressWarnings("unchecked")
    public void configure(Map<String, ?> map, boolean b) {
        if(deserializedClass == null) {
            deserializedClass = (Class<T>) map.get("serializedClass");
        }
    }

    @Override
    public T deserialize(String topic, byte[] data) {
        System.out.print(data);
        if(data == null){
            return null;
        }

        return gson.fromJson(new String(data),deserializedClass);
    }

    @Override
    public void close() {

    }
}

当我尝试执行代码时,出现以下错误:

When i try to execute the code, i receive the following error:

由以下原因引起:org.apache.kafka.common.KafkaException:无法实例化org.apache.kafka.common.serialization.Serdes $ WrapperSerde类是否具有公共的无参数构造函数?

Caused by: org.apache.kafka.common.KafkaException: Could not instantiate class org.apache.kafka.common.serialization.Serdes$WrapperSerde Does it have a public no-argument constructor?

此处完整转储: https://pastebin.com/WwpuXuxB

这是我尝试使用Serde的方式:

This is the way i am trying to use serde:

KStreamBuilder builder = new KStreamBuilder();
KStream<String, EventMessage> eventsStream = builder.stream(stringSerde, messageSerde, topic);

KStream<String, EventMessage> outStream = eventsStream
            .mapValues(value -> EventMessage.build(value.type, value.timestamp));

outStream.to("output");

此外,我不太确定我是否正确设置了属性以全局设置串行器和解串器:

Also, i am not totally sure i am setting up correctly the properties to setup up serializer and deserializer globally:

streamsConfiguration.put(StreamsConfig.KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
streamsConfiguration.put(StreamsConfig.VALUE_SERDE_CLASS_CONFIG, messageSerde.getClass());

推荐答案

要完成Matthias的答案,我刚刚编写了一个简单的示例,说明如何在Kafka Stream应用程序中创建自定义Serde(Serializer/Deserializer).可以克隆并尝试使用它: https://github.com/Davidcorral94/Kafka -Streams-Custom-Seder

To complete the Matthias answer I've just coded a simple example of how to create a custom Serde (Serializer / Deserializer) within a Kafka Stream App. It's is available to clone and try in: https://github.com/Davidcorral94/Kafka-Streams-Custom-Seder

首先,我创建两个类,一个用于序列化器,另一个用于反序列化器.在这种情况下,我使用 Gson库来执行序列化/反序列化.

First I create two classes, one for the Serializer and another for the Deserializer. In this case I use Gson library to perform the serialization/deserialization.

public class PersonSerializer implements Closeable, AutoCloseable, Serializer<Person> {

    private static final Charset CHARSET = Charset.forName("UTF-8");
    static private Gson gson = new Gson();

    @Override
    public void configure(Map<String, ?> map, boolean b) {
    }

    @Override
    public byte[] serialize(String s, Person person) {
        // Transform the Person object to String
        String line = gson.toJson(person);
        // Return the bytes from the String 'line'
        return line.getBytes(CHARSET);
    }

    @Override
    public void close() {

    }
}

反序列化器

public class PersonDeserializer implements Closeable, AutoCloseable, Deserializer<Person> {

    private static final Charset CHARSET = Charset.forName("UTF-8");
    static private Gson gson = new Gson();

    @Override
    public void configure(Map<String, ?> map, boolean b) {
    }

    @Override
    public Person deserialize(String topic, byte[] bytes) {
        try {
            // Transform the bytes to String
            String person = new String(bytes, CHARSET);
            // Return the Person object created from the String 'person'
            return gson.fromJson(person, Person.class);
        } catch (Exception e) {
            throw new IllegalArgumentException("Error reading bytes", e);
        }
    }

    @Override
    public void close() {

    }
}

然后,我将它们都包装到Serde中,以便能够将其用于我的Kafka Stream应用程序中.

Then, I wrap both of them into a Serde to be able to use it into my Kafka Stream App.

public class PersonSerde implements Serde<Person> {
    private PersonSerializer serializer = new PersonSerializer();
    private PersonDeserializer deserializer = new PersonDeserializer();

    @Override
    public void configure(Map<String, ?> configs, boolean isKey) {
        serializer.configure(configs, isKey);
        deserializer.configure(configs, isKey);
    }

    @Override
    public void close() {
        serializer.close();
        deserializer.close();
    }

    @Override
    public Serializer<Person> serializer() {
        return serializer;
    }

    @Override
    public Deserializer<Person> deserializer() {
        return deserializer;
    }
}

最后,您可以在下一行中将此Serde类用于您的Kafka Stream App:

Finally, you are able to use this Serde class into your Kafka Stream App with the next line:

props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, PersonSerde.class);

这实际上与当前可用的最新Kafka版本1.0.0一起使用!

This is actually working with the latest Kafka version available at this moment which is 1.0.0!

这篇关于KafkaStreams Serde异常的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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