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。

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<String,String> producer = new KafkaProducer<String,String>(properties); while (true) { String message = "kafka_message-" + new Date().getTime() + "-edited by hidden.zhu"; ProducerRecord<String, String> producerRecord = new ProducerRecord<String, String>(topic,message); try { Future<RecordMetadata> 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:

<dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka-clients</artifactId> <version>1.0.0</version></dependency>

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<String, ?> configs, boolean isKey):用来配置当前类。
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<String> { private String encoding = "UTF8"; @Override public void configure(Map<String, ?> 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<Company> { public void configure(Map<String, ?> 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<String,Company> producer = new KafkaProducer<String,Company>(properties);//Company company = new Company();//company.setName("hidden.cooperation-" + new Date().getTime());//company.setAddress("Shanghai, China");//ProducerRecord<String, Company> producerRecord = new ProducerRecord<String, Company>(topic,company);1234567


本文的重点是你有没有收获与成长,其余的都不重要,希望读者们能谨记这一点。同时我经过多年的收藏目前也算收集到了一套完整的学习资料,包括但不限于:分布式架构、高可扩展、高性能、高并发、Jvm性能调优、Spring,MyBatis,Nginx源码分析,Redis,ActiveMQ、、Mycat、Netty、Kafka、Mysql、Zookeeper、Tomcat、Docker、Dubbo、Nginx等多个知识点高级进阶干货,希望对想成为架构师的朋友有一定的参考和帮助

需要更详细思维导图和以下资料的可以加一下技术交流分享群:“708 701 457”免费获取