首先我们先模拟生产者代码
/**
* 多个消费者同时消费一条消息
*/
@GetMapping("/kafka/many_consumer")
public void manyConsumer() {
for (int i = 0; i <1; i++) {
try {
Thread.sleep(3);
} catch (InterruptedException e) {
e.printStackTrace();
}
Long orderId = new SnowflakeGenerator().next();
//key值取hash值对分区数量取模
final Integer partition =Math.abs(orderId.hashCode())%3;
final Order order = new Order();
order.setOrderNo(orderId+"");
order.setCreateTime(new Date());
order.setPhone('1' + RandomUtil.randomNumbers(10));
log.info("kafka 发送消息"+orderId + "分区====="+partition);
kafkaService.sendMsg("topic.many.consumer",partition,orderId+"", JSON.toJSONString(order));
}
}
}
然后实现多个消费者同时消费topic中的消息
@KafkaListener(groupId="many-consumer-id-1", topics = {
"topic.many.consumer"})
public void consumer1(ConsumerRecord<Integer, String> record) {
log.info("分组：many-consumer-id-1 "+" 主题：" + record.topic() + "-" + record.partition() + "-" + record.value());
}
@KafkaListener(groupId="many-consumer-id-2", topics = {
"topic.many.consumer"})
public void consumer2(ConsumerRecord<Integer, String> record) {
log.info("分组：many-consumer-id-2 "+" 主题：" + record.topic() + "-" + record.partition() + "-" + record.value());
}
@KafkaListener(groupId="many-consumer-id-3", topics = {
"topic.many.consumer"})
public void consumer3(ConsumerRecord<Integer, String> record) {
log.info("分组：many-consumer-id-3 "+" 主题：" + record.topic() + "-" + record.partition() + "-" + record.value());
}
其实实现这个功能的重点在于@KafkaListener这个注解中的groupId是不同的