java——spring boot集成kafka——spring boot集成kafka

引入依赖：

 

 

<dependency>
      <groupId>org.springframework.kafka</groupId>
      <artifactId>spring-kafka</artifactId>
</dependency>

 

 

 

 

 

 

 

 

 

 

编写配置文件：

 

 

 

 

erver:
port: 8080
spring:
kafka:
bootstrap-servers: 172.16.253.21:9093
producer: # ⽣产者
retries: 3 # 设置⼤于0的值，则客户端会将发送失败的记录重新发送
batch-size: 16384
buffer-memory: 33554432
acks: 1
# 指定消息key和消息体的编解码⽅式
key-serializer:
org.apache.kafka.common.serialization.StringSerializer
value-serializer:
org.apache.kafka.common.serialization.StringSerializer
consumer:
group-id: default-group
enable-auto-commit: false
auto-offset-reset: earliest
key-deserializer:
org.apache.kafka.common.serialization.StringDeserializer
value-deserializer:
org.apache.kafka.common.serialization.StringDeserializer
max-poll-records: 500
listener:
# 当每⼀条记录被消费者监听器（ListenerConsumer）处理之后提交
# RECORD
# 当每⼀批poll()的数据被消费者监听器（ListenerConsumer）处理之后提交
# BATCH
# 当每⼀批poll()的数据被消费者监听器（ListenerConsumer）处理之后，距离上
次提交时间⼤于TIME时提交
# TIME
# 当每⼀批poll()的数据被消费者监听器（ListenerConsumer）处理之后，被处理
record数量⼤于等于COUNT时提交
# COUNT
# TIME | COUNT　有⼀个条件满⾜时提交
# COUNT_TIME
# 当每⼀批poll()的数据被消费者监听器（ListenerConsumer）处理之后, ⼿动调
⽤Acknowledgment.acknowledge()后提交
# MANUAL
# ⼿动调⽤Acknowledgment.acknowledge()后⽴即提交，⼀般使⽤这种
# MANUAL_IMMEDIATE
ack-mode: MANUAL_IMMEDIATE
redis:
host: 172.16.253.21

 

 

 

 

 

 

 

 

 

 

生产者：

 

 

@RestController
public class KafkaController {
private final static String TOPIC_NAME = "my-replicated-topic";
@Autowired
private KafkaTemplate<String, String> kafkaTemplate;
@RequestMapping("/send")
public void send() {
kafkaTemplate.send(TOPIC_NAME, 0, "key", "this is a msg");
}
}

 

 

 

 

 

 

 

 

 

消费者：

 

 

 

 

@KafkaListener(topics = "my-replicated-topic",groupId = "MyGroup1")
public void listenGroup(ConsumerRecord<String, String> record,
Acknowledgment ack) {
String value = record.value();
System.out.println(value);
System.out.println(record);
//⼿动提交offset
ack.acknowledge();
}

 

 

 

 

 

 

 

 

 

 

 

 

 

==========================================================