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聊聊Spring?Boot如何配置多個(gè)Kafka數(shù)據(jù)源

更新時(shí)間：2023年10月20日 09:35:50 作者：Mr?Tang

這篇文章主要介紹了Spring?Boot配置多個(gè)Kafka數(shù)據(jù)源的相關(guān)知識,包括生產(chǎn)者、消費(fèi)者配置,本文結(jié)合實(shí)例代碼給大家介紹的非常詳細(xì),對大家的學(xué)習(xí)或工作具有一定的參考借鑒價(jià)值,需要的朋友參考下吧

一、配置文件

application.properties配置文件如下

#kafka多數(shù)據(jù)源配置
#kafka數(shù)據(jù)源一，日志審計(jì)推送
spring.kafka.one.bootstrap-servers=172.19.12.109:32182
spring.kafka.one.producer.retries=0
spring.kafka.one.producer.properties.max.block.ms=5000
#kafka數(shù)據(jù)源二，動(dòng)環(huán)數(shù)據(jù)消費(fèi)
spring.kafka.two.bootstrap-servers=172.19.12.109:32182
spring.kafka.two.producer.retries=0
spring.kafka.two.producer.properties.max.block.ms=5000
spring.kafka.two.consumer.group-id=bw-convert-data
spring.kafka.two.consumer.enable-auto-commit=true

二、pom依賴

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

三、生產(chǎn)者、消費(fèi)者配置

1.第一個(gè)kakfa

package com.gstanzer.convert.config;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.core.*;
import java.util.HashMap;
import java.util.Map;
@EnableKafka
@Configuration
public class KafkaOneConfig {
    @Value("${spring.kafka.one.bootstrap-servers}")
    private String bootstrapServers;
    @Value("${spring.kafka.one.producer.retries}")
    private String retries;
    @Value("${spring.kafka.one.producer.properties.max.block.ms}")
    private String maxBlockMs;
    @Bean
    public KafkaTemplate<String, String> kafkaOneTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }
    private ProducerFactory<String, String> producerFactory() {
        return new DefaultKafkaProducerFactory<>(producerConfigs());
    }
    private Map<String, Object> producerConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
        props.put(ProducerConfig.RETRIES_CONFIG, retries);
        props.put(ProducerConfig.MAX_BLOCK_MS_CONFIG, maxBlockMs);
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        return props;
    }
}

2.第二個(gè)kakfa

package com.gstanzer.convert.config;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.config.KafkaListenerContainerFactory;
import org.springframework.kafka.core.*;
import org.springframework.kafka.listener.ConcurrentMessageListenerContainer;
import java.util.HashMap;
import java.util.Map;
@Configuration
@EnableKafka
public class KafkaTwoConfig {
    @Value("${spring.kafka.two.bootstrap-servers}")
    private String bootstrapServers;
    @Value("${spring.kafka.two.producer.retries}")
    private String retries;
    @Value("${spring.kafka.two.producer.properties.max.block.ms}")
    private String maxBlockMs;
    @Value("${spring.kafka.two.consumer.group-id}")
    private String groupId;
    @Value("${spring.kafka.two.consumer.enable-auto-commit}")
    private boolean enableAutoCommit;
    @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.RETRIES_CONFIG, retries);
        props.put(ProducerConfig.MAX_BLOCK_MS_CONFIG, maxBlockMs);
        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.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit);
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        return props;
    }
}

四.生產(chǎn)者

@Controller
public class TestController {
    @Autowired
    private KafkaTemplate kafkaOneTemplate;
    @Autowired
    private KafkaTemplate kafkaTwoTemplate;
    @RequestMapping("/send")
    @ResponseBody
    public String send() {
        final String TOPIC = "TOPIC_1";
        kafkaOneTemplate.send(TOPIC, "kafka one");
        kafkaTwoTemplate.send(TOPIC, "kafka two");
        return "success";
    }
}

五.消費(fèi)者

@Component
public class KafkaConsumer {
    private static final Logger LOGGER = LoggerFactory.getLogger(KafkaConsumer.class);
    final String TOPIC = "TOPIC_1";
    // containerFactory 的值要與配置中 KafkaListenerContainerFactory 的 Bean 名相同
    @KafkaListener(topics = {TOPIC}, containerFactory = "kafkaOneContainerFactory")
    public void listenerOne(ConsumerRecord<?, ?> record) {
        LOGGER.info(" kafka one 接收到消息：{}", record.value());
    }
    @KafkaListener(topics = {TOPIC}, containerFactory = "kafkaTwoContainerFactory")
    public void listenerTwo(ConsumerRecord<?, ?> record) {
        LOGGER.info(" kafka two 接收到消息：{}", record.value());
    }
}

備注：

生產(chǎn)者消費(fèi)者代碼參考鏈接，開發(fā)同學(xué)需要以實(shí)際情況按要求自己變更下代碼即可：

Spring Boot 集成多個(gè) Kafka_springboot集成多個(gè)kafka

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