pom配置:
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http:///POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http:///POM/4.0.0 http:///xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.hzw</groupId>
<artifactId>kafka-java</artifactId>
<version>1.0-SNAPSHOT</version>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.3.10.RELEASE</version>
<relativePath/>
</parent>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.76</version>
</dependency>
</dependencies>
</project>application.yml
server:
port: 8882
servlet:
context-path: /
spring:
kafka:
bootstrap-servers: 127.0.0.1:9092
producer:
# 发生错误后,消息重发的次数。
retries: 0
#当有多个消息需要被发送到同一个分区时,生产者会把它们放在同一个批次里。该参数指定了一个批次可以使用的内存大小,按照字节数计算。
batch-size: 16384
# 设置生产者内存缓冲区的大小。
buffer-memory: 33554432
# 键的序列化方式
key-serializer: org.apache.kafka.common.serialization.StringSerializer
# 值的序列化方式
value-serializer: org.apache.kafka.common.serialization.StringSerializer
# acks=0 : 生产者在成功写入消息之前不会等待任何来自服务器的响应。
# acks=1 : 只要集群的首领节点收到消息,生产者就会收到一个来自服务器成功响应。
# acks=all :只有当所有参与复制的节点全部收到消息时,生产者才会收到一个来自服务器的成功响应。
acks: 1
consumer:
# 自动提交的时间间隔 在spring boot 2.X 版本中这里采用的是值的类型为Duration 需要符合特定的格式,如1S,1M,2H,5D
auto-commit-interval: 1S
# 该属性指定了消费者在读取一个没有偏移量的分区或者偏移量无效的情况下该作何处理:
# latest(默认值)在偏移量无效的情况下,消费者将从最新的记录开始读取数据(在消费者启动之后生成的记录)
# earliest :在偏移量无效的情况下,消费者将从起始位置读取分区的记录
auto-offset-reset: earliest
# 是否自动提交偏移量,默认值是true,为了避免出现重复数据和数据丢失,可以把它设置为false,然后手动提交偏移量
enable-auto-commit: false
# 键的反序列化方式
key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
# 值的反序列化方式
value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
listener:
# 在侦听器容器中运行的线程数。
concurrency: 5
#listner负责ack,每调用一次,就立即commit
ack-mode: manual_immediate
missing-topics-fatal: false启动类:
import lombok.extern.slf4j.Slf4j;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.ConfigurableApplicationContext;
import org.springframework.core.env.Environment;
import .*;
import java.util.Enumeration;
@Slf4j
@SpringBootApplication
public class KafkaApplication {
public static void main(String[] args) {
ConfigurableApplicationContext application = SpringApplication.run(KafkaApplication.class, args);
printSysInfo(application);
}
/**
* 打印启动成功信息
* @param application
* @throws UnknownHostException
*/
private static void printSysInfo(ConfigurableApplicationContext application) {
Environment env = application.getEnvironment();
String ip = getLocalIp();
String port = env.getProperty("server.port");
String path = env.getProperty("server.servlet.context-path");
if("/".equals(path)){
path = "";
}
String projectName = env.getProperty("spring.application.name");
log.info("\n------------------------------------------------------------------------------\n\t" +
"Application " + projectName + " is running! Access URLs:\n\t" +
"Local: \t\t\thttp://localhost:" + port + path + "/\n\t" +
"External: \t\thttp://" + ip + ":" + port + path + "/\n\t" +
/*"swagger-ui: \t\thttp://" + ip + ":" + port + path + "/swagger-ui.html\n\t" +
"Doc: \t\t\thttp://" + ip + ":" + port + path + "/v2/api-docs\n" +*/
"------------------------------------------------------------------------------");
}
/**
* 获取本机ip
* @return
*/
private static String getLocalIp() {
InetAddress inetAddress = getInetAddress();
if(inetAddress == null){
return null;
}
return inetAddress.getHostAddress();
}
private static InetAddress getInetAddress(){
InetAddress inetAddress = null;
String name;
String displayName;
try {
OK:
for (Enumeration<NetworkInterface> interfaces = NetworkInterface.getNetworkInterfaces(); interfaces.hasMoreElements(); ) {
NetworkInterface networkInterface = interfaces.nextElement();
name = networkInterface.getName();
displayName = networkInterface.getDisplayName();
if(name != null && (name.indexOf("docker") == 0 || name.indexOf("flannel") == 0)){
continue;
}
if(displayName != null && (displayName.indexOf("VirtualBox") == 0 || displayName.indexOf("VMware") == 0)){
continue;
}
if (networkInterface.isLoopback()
|| networkInterface.isVirtual()
|| !networkInterface.isUp()) {
continue;
}
Enumeration<InetAddress> addresses = networkInterface.getInetAddresses();
while (addresses.hasMoreElements()) {
inetAddress = addresses.nextElement();
if (inetAddress instanceof Inet4Address) {
break OK;
}
}
}
} catch (SocketException e) {
log.error(e.toString());
}
return inetAddress;
}
}生产者(KafkaProducer)
import com.alibaba.fastjson.JSONObject;
import lombok.extern.slf4j.Slf4j;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.SendResult;
import org.springframework.stereotype.Component;
import org.springframework.util.concurrent.ListenableFuture;
import org.springframework.util.concurrent.ListenableFutureCallback;
@Component
@Slf4j
public class KafkaProducer {
private final KafkaTemplate<String, Object> kafkaTemplate;
//自定义topic
public static final String TOPIC_TEST = "topic.test";
//
public static final String TOPIC_GROUP1 = "topic.group1";
//
public static final String TOPIC_GROUP2 = "topic.group2";
public KafkaProducer(KafkaTemplate<String, Object> kafkaTemplate) {
this.kafkaTemplate = kafkaTemplate;
}
public void send(Object obj) {
String obj2String = JSONObject.toJSONString(obj);
log.info("准备发送消息为:{}", obj2String);
//发送消息
ListenableFuture<SendResult<String, Object>> future = kafkaTemplate.send(TOPIC_TEST, obj);
future.addCallback(new ListenableFutureCallback<SendResult<String, Object>>() {
@Override
public void onFailure(Throwable throwable) {
//发送失败的处理
log.info(TOPIC_TEST + " - 生产者 发送消息失败:" + throwable.getMessage());
}
@Override
public void onSuccess(SendResult<String, Object> stringObjectSendResult) {
//成功的处理
log.info(TOPIC_TEST + " - 生产者 发送消息成功:" + stringObjectSendResult.toString());
}
});
}
}消费者(KafkaConsumer)
import lombok.extern.slf4j.Slf4j;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.kafka.support.Acknowledgment;
import org.springframework.kafka.support.KafkaHeaders;
import org.springframework.messaging.handler.annotation.Header;
import org.springframework.stereotype.Component;
import java.util.Optional;
@Component
@Slf4j
public class KafkaConsumer {
@KafkaListener(topics = KafkaProducer.TOPIC_TEST, groupId = KafkaProducer.TOPIC_GROUP1)
public void topic_test(ConsumerRecord<?, ?> record, Acknowledgment ack, @Header(KafkaHeaders.RECEIVED_TOPIC) String topic) {
Optional message = Optional.ofNullable(record.value());
if (message.isPresent()) {
Object msg = message.get();
log.info("topic_test 消费了: Topic:" + topic + ",Message:" + msg);
ack.acknowledge();
}
}
@KafkaListener(topics = KafkaProducer.TOPIC_TEST, groupId = KafkaProducer.TOPIC_GROUP2)
public void topic_test1(ConsumerRecord<?, ?> record, Acknowledgment ack, @Header(KafkaHeaders.RECEIVED_TOPIC) String topic) {
Optional message = Optional.ofNullable(record.value());
if (message.isPresent()) {
Object msg = message.get();
log.info("topic_test1 消费了: Topic:" + topic + ",Message:" + msg);
ack.acknowledge();
}
}
}测试控制器:
import com.hzw.kafka.topic.KafkaProducer;
import lombok.extern.slf4j.Slf4j;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
/**
* kafka控制器
*/
@RestController
@RequestMapping("kafka")
@Slf4j
public class KafkaController {
private final KafkaProducer kafkaProducer;
public KafkaController(KafkaProducer kafkaProducer) {
this.kafkaProducer = kafkaProducer;
}
/**
* 发送消息
* @param msg
*/
@GetMapping("send")
@Transactional(rollbackFor = Exception.class)
public void send(String msg){
// 发送消息
kafkaProducer.send(msg);
}
}测试结果:
在浏览器打开http://127.0.0.1:8882/kafka/send?msg=hello message

















