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Kafka Producer在发送消息时必须配置的参数为:bootstrap.servers、key.serializer、value.serializer。序列化操作是在拦截器(Interceptor)执行之后并且在分配分区(partitions)之前执行的。
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首先我们通过一段示例代码来看下普通情况下Kafka Producer如何编写:
public class ProducerJavaDemo {
public static final String brokerList = "192.168.0.2:9092,192.168.0.3:9092,192.168.0.4:9092";
public static final String topic = "hidden-topic";
public static void main(String[] args) {
Properties properties = new Properties();
properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
properties.put("client.id", "hidden-producer-client-id-1");
properties.put("bootstrap.servers", brokerList);
Producer producer = new KafkaProducer(properties);
while (true) {
String message = "kafka_message-" + new Date().getTime() + "-edited by hidden.zhu";
ProducerRecord producerRecord = new ProducerRecord(topic,message);
try {
Future future = producer.send(producerRecord, new Callback() {
public void onCompletion(RecordMetadata metadata, Exception exception) {
System.out.print(metadata.offset()+" ");
System.out.print(metadata.topic()+" ");
System.out.println(metadata.partition());
}
});
} catch (Exception e) {
e.printStackTrace();
}
try {
TimeUnit.MILLISECONDS.sleep(10);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}
这里采用的客户端不是0.8.x.x时代的Scala版本,而是Java编写的新Kafka Producer, 相应的Maven依赖如下:
org.apache.kafka
kafka-clients
1.0.0
上面的程序中使用的是Kafka客户端自带的org.apache.kafka.common.serialization.StringSerializer,除了用于String类型的序列化器之外还有:ByteArray、ByteBuffer、Bytes、Double、Integer、Long这几种类型,它们都实现了org.apache.kafka.common.serialization.Serializer接口,此接口有三种方法:
public void configure(Map
public byte[] serialize(String topic, T data):用来执行序列化。
public void close():用来关闭当前序列化器。一般情况下这个方法都是个空方法,如果实现了此方法,必须确保此方法的幂等性,因为这个方法很可能会被KafkaProducer调用多次。
下面我们来看看Kafka中org.apache.kafka.common.serialization.StringSerializer的具体实现,源码如下:
public class StringSerializer implements Serializer {
private String encoding = "UTF8";
@Override
public void configure(Map configs, boolean isKey) {
String propertyName = isKey ? "key.serializer.encoding" : "value.serializer.encoding";
Object encodingValue = configs.get(propertyName);
if (encodingValue == null)
encodingValue = configs.get("serializer.encoding");
if (encodingValue != null && encodingValue instanceof String)
encoding = (String) encodingValue;
}
@Override
public byte[] serialize(String topic, String data) {
try {
if (data == null)
return null;
else
return data.getBytes(encoding);
} catch (UnsupportedEncodingException e) {
throw new SerializationException("Error when serializing string to byte[] due to unsupported encoding " + encoding);
}
}
@Override
public void close() {
// nothing to do
}
}
首先看下StringSerializer中的configure(Map)
public class Company {
private String name;
private String address;
//省略Getter, Setter, Constructor & toString方法
}
接下去我们来实现Company类型的Serializer,即下面代码示例中的DemoSerializer。
package com.hidden.client;
public class DemoSerializer implements Serializer {
public void configure(Map configs, boolean isKey) {}
public byte[] serialize(String topic, Company data) {
if (data == null) {
return null;
}
byte[] name, address;
try {
if (data.getName() != null) {
name = data.getName().getBytes("UTF-8");
} else {
name = new byte[0];
}
if (data.getAddress() != null) {
address = data.getAddress().getBytes("UTF-8");
} else {
address = new byte[0];
}
ByteBuffer buffer = ByteBuffer.allocate(4+4+name.length + address.length);
buffer.putInt(name.length);
buffer.put(name);
buffer.putInt(address.length);
buffer.put(address);
return buffer.array();
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
}
return new byte[0];
}
public void close() {}
}
使用时只需要在Kafka Producer的config中修改value.serializer属性即可,示例如下:
properties.put("value.serializer", "com.hidden.client.DemoSerializer");
//记得也要将相应的String类型改为Company类型,如:
//Producer producer = new KafkaProducer(properties);
//Company company = new Company();
//company.setName("hidden.cooperation-" + new Date().getTime());
//company.setAddress("Shanghai, China");
//ProducerRecord producerRecord = new ProducerRecord(topic,company);1234567
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