准备工作
自己搭建一个Kafka
从官方下载Kafka，选择对应Spring Boot 的版本，好在Kafka支持的版本范围比较广，当前最新版本是3.2.1,支持2.12-3.2.1 范围的版本，覆盖了Spring Boot 2.0x-Spring Boot 3.0.x。
https://kafka.apache.org/downloads
解压安装
进入bin目录，执行如下命令，按照如下顺序启动
Linux
# 配置文件选择自己对应的目录
zookeeper-server-start.sh ../config/zookeeper.properties
Windows
windows/zookeeper-server-start.bat ../config/zookeeper.properties
打开另外一个终端，启动KafkaServer
Linux
kafka-server-start.sh ../config/server.properties
Windows
windows/kafka-server-start.bat ../config/server.properties
最小化配置Kafka
如下是最小化配置Kafka
pom.xml 引入依赖
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
application.properties
server.port=8090
spring.application.name=single-kafka-server
#kafka 服务器地址
spring.kafka.bootstrap-servers=localhost:9092
#消费者分组，配置后，自动创建
spring.kafka.consumer.group-id=default_group
KafkaProducer 生产者
@Slf4j
@Component
@EnableScheduling
public class KafkaProducer {
@Resource
private KafkaTemplate kafkaTemplate;
private void sendTest() {
//topic 会自动创建
kafkaTemplate.send("topic1", "hello kafka");
}
@Scheduled(fixedRate = 1000 * 10)
public void testKafka() {
log.info("send message...");
sendTest();
}
}
KafkaConsumer 消费者
@Slf4j
@Component
public class KafkaConsumer {
@KafkaListener(topics = {"topic1"})
public void processMessage(String spuId) {
log.warn("process spuId ={}", spuId);
}
}
运行效果：
多Kafka配置
配置稍微复杂了一点，灵魂就是手动创建，同样引入依赖
pom.xml
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
application.properties
server.port=8090
spring.application.name=kafka-server
#kafka1
#服务器地址
spring.kafka.one.bootstrap-servers=localhost:9092
spring.kafka.one.consumer.group-id=default_group
#kafka2
spring.kafka.two.bootstrap-servers=localhost:9092
spring.kafka.two.consumer.group-id=default_group2
第一个Kafka配置，需要区分各Bean的名称
KafkaOneConfig
@Configuration
public class KafkaOneConfig {
@Value("${spring.kafka.one.bootstrap-servers}")
private String bootstrapServers;
@Value("${spring.kafka.one.consumer.group-id}")
private String groupId;
@Bean
public KafkaTemplate<String, String> kafkaOneTemplate() {
return new KafkaTemplate<>(producerFactory());
}
@Bean(name = "kafkaOneContainerFactory")
KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<Integer, String>> kafkaOneContainerFactory() {
ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
factory.getContainerProperties().setPollTimeout(3000);
return factory;
}
private ProducerFactory<String, String> producerFactory() {
return new DefaultKafkaProducerFactory<>(producerConfigs());
}
private ConsumerFactory<Integer, String> consumerFactory() {
return new DefaultKafkaConsumerFactory<>(consumerConfigs());
}
private Map<String, Object> producerConfigs() {
Map<String, Object> props = new HashMap<>();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
return props;
}
private Map<String, Object> consumerConfigs() {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
return props;
}
}
kafkaOneTemplate 定义第一个Kafka的高级模板，用来发送消息
kafkaOneContainerFactory 消费监听容器，配置在@KafkaListener中，
producerFactory 生产者工厂
consumerFactory 消费者工厂
producerConfigs 生产者配置
consumerConfigs 消费者配置
同样创建第二个Kafka，配置含义，同第一个Kafka
KafkaTwoConfig
@Configuration
public class KafkaTwoConfig {
@Value("${spring.kafka.two.bootstrap-servers}")
private String bootstrapServers;
@Value("${spring.kafka.two.consumer.group-id}")
private String groupId;
@Bean
public KafkaTemplate<String, String> kafkaTwoTemplate() {
return new KafkaTemplate<>(producerFactory());
}
@Bean(name = "kafkaTwoContainerFactory")
KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<Integer, String>> kafkaTwoContainerFactory() {
ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
factory.getContainerProperties().setPollTimeout(3000);
return factory;
}
private ProducerFactory<String, String> producerFactory() {
return new DefaultKafkaProducerFactory<>(producerConfigs());
}
public ConsumerFactory<Integer, String> consumerFactory() {
return new DefaultKafkaConsumerFactory<>(consumerConfigs());
}
private Map<String, Object> producerConfigs() {
Map<String, Object> props = new HashMap<>();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
return props;
}
private Map<String, Object> consumerConfigs() {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
return props;
}
}
创建一个测试的消费者，注意配置不同的监听容器containerFactory
KafkaConsumer
@Slf4j
@Component
public class KafkaConsumer {
@KafkaListener(topics = {"topic1"}, containerFactory = "kafkaOneContainerFactory")
public void oneProcessItemcenterSpuMessage(String spuId) {
log.warn("one process spuId ={}", spuId);
}
@KafkaListener(topics = {"topic2"},containerFactory = "kafkaTwoContainerFactory")
public void twoProcessItemcenterSpuMessage(String spuId) {
log.warn("two process spuId ={}", spuId);
}
}
创建一个测试的生产者，定时往两个topic中发送消息
KafkaProducer
@Slf4j
@Component
public class KafkaProducer {
@Resource
private KafkaTemplate kafkaOneTemplate;
@Resource
private KafkaTemplate kafkaTwoTemplate;
private void sendTest() {
kafkaOneTemplate.send("topic1", "hello kafka one");
kafkaTwoTemplate.send("topic2", "hello kafka two");
}
@Scheduled(fixedRate = 1000 * 10)
public void testKafka() {
log.info("send message...");
sendTest();
}
}
最后运行效果：
