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springboot如何配置多kafka

2024-01-30 16:44:57 作者：是菜菜的小严惜哎

这篇文章主要介绍了springboot如何配置多kafka问题,具有很好的参考价值,希望对大家有所帮助,如有错误或未考虑完全的地方,望不吝赐教

springboot配置多kafka

kafka，说起这个玩意，大家应该都不陌生，不知道啥是kafka的直接去搜索

就像MySQL的使用一样，我们在用kafka的时候，也会碰到需要使用多个kafka的情况，比如我从kafkaA的一个topic里消费出数据，进行一次处理，然后我要写入到kafkaB的topic里

从网上找了很多配置多kafka的教程，但是都不大好使，后来还是找到了，加上我自己改了点点东西，贴出来和大家分享一下~

首先是pom文件,kafka的依赖

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

配置文件

spring:
  kafka:
    listener:
      concurrency: 10
    one:
      # kafka地址
      bootstrap-servers: 192.168.217.117:9092
      producer:
        # 生产者每次发送消息的时间间隔（毫秒）
        linger-ms: 5000
        # 单条消息最大值（字节）
        max-request-size: 16384
        # 每次批量发送消息的数量
        batch-size: 16384
        # 缓存区大小
        buffer-memory: 33554432
        # 队列
        topic: test
      consumer:
        # 是否自动提交
        enable-auto-commit: true
        # 队列
        topic: topic
        # group ID
        group-id: consumer
    two:
      # kafka地址
      bootstrap-servers: 192.168.217.160:9092
      producer:
        # 生产者每次发送消息的时间间隔（毫秒）
        linger-ms: 100
        # 单条消息最大值（单位为字节，且大小指的是经过序列化后的大小）
        max-request-size: 16384
        # 每次批量发送消息的数量
        batch-size: 16384
        # 缓存区大小
        buffer-memory: 33554432
        # 队列
        topic: test
      consumer:
        # 是否自动提交
        enable-auto-commit: true
        # 队列
        topic: test
        # group ID
        group-id: consumer

有了配置文件当然就要读取配置文件了

先读取第一个kafka

@EnableKafka
@Configuration
public class KafkaConfigOne {
 
    @Value("${spring.kafka.one.bootstrap-servers}")
    private String bootstrapServers;
    @Value("${spring.kafka.one.consumer.enable-auto-commit}")
    private boolean enableAutoCommit;
    @Value("${spring.kafka.one.consumer.group-id}")
    private String groupId;
    @Value("${spring.kafka.one.producer.linger-ms}")
    private Integer lingerMs;
    @Value("${spring.kafka.one.producer.max-request-size}")
    private Integer maxRequestSize;
    @Value("${spring.kafka.one.producer.batch-size}")
    private Integer batchSize;
    @Value("${spring.kafka.one.producer.buffer-memory}")
    private Integer bufferMemory;
 
 
    @Bean
    public KafkaTemplate<String, String> kafkaOneTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }
 
    @Bean
    KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<Integer, String>> kafkaOneContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.setConcurrency(3);
        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.LINGER_MS_CONFIG,lingerMs);
        props.put(ProducerConfig.MAX_REQUEST_SIZE_CONFIG, maxRequestSize);
        props.put(ProducerConfig.BATCH_SIZE_CONFIG,batchSize);
        props.put(ProducerConfig.BUFFER_MEMORY_CONFIG,bufferMemory);
        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.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit);
        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;
    }
}

接着读取第二个kafka

@EnableKafka
@Configuration
public class KafkaConfigTwo {
 
    @Value("${spring.kafka.two.bootstrap-servers}")
    private String bootstrapServers;
    @Value("${spring.kafka.two.consumer.enable-auto-commit}")
    private boolean enableAutoCommit;
    @Value("${spring.kafka.two.consumer.group-id}")
    private String groupId;
    @Value("${spring.kafka.two.producer.linger-ms}")
    private Integer lingerMs;
    @Value("${spring.kafka.two.producer.max-request-size}")
    private Integer maxRequestSize;
    @Value("${spring.kafka.two.producer.batch-size}")
    private Integer batchSize;
    @Value("${spring.kafka.two.producer.buffer-memory}")
    private Integer bufferMemory;
 
 
    @Bean
    public KafkaTemplate<String, String> kafkaTwoTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }
 
    @Bean
    KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<Integer, String>> kafkaTwoContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.setConcurrency(3);
        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.LINGER_MS_CONFIG,lingerMs);
        props.put(ProducerConfig.MAX_REQUEST_SIZE_CONFIG, maxRequestSize);
        props.put(ProducerConfig.BATCH_SIZE_CONFIG,batchSize);
        props.put(ProducerConfig.BUFFER_MEMORY_CONFIG,bufferMemory);
        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.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit);
        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;
    }
}

PS：路径什么的大家可以改哈

使用：

     @Autowired
    @Qualifier("kafkaTwoTemplate")
    private KafkaTemplate kafkaTwoTemplate;
 
kafkaTwoTemplate.send("topic", "message");

直接注入使用就可以，但是，在这儿注意，因为配置了多个kafka，所以需要进行区分，此处我使用@Autowired和@Qualifier连用，大家也可以使用@DataSource，这个就是多数据源的注解而已，无所谓，按照个人习惯进行使用就OK

当然，还有消费者

 @KafkaListener(topics = {"#{'${spring.kafka.two.consumer.topic}'}"}, containerFactory = "kafkaTwoContainerFactory")
    public void listenerTwo (String data) {
        System.out.println(data);
    }

总结

以上为个人经验，希望能给大家一个参考，也希望大家多多支持脚本之家。