springboot集成kafka

Myth丶恋晨 2022-05-25 13:48 254阅读 0赞

本文介绍如何在springboot项目中集成kafka收发message。

**1、先解决依赖pom.xml**

springboot相关的依赖我们就不提了，和kafka相关的只依赖一个spring-kafka集成包

<dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> <version>1.1.1.RELEASE</version> </dependency>

这里我们先把配置文件展示一下

#============== kafka =================== kafka.consumer.zookeeper.connect=10.93.21.21:2181 kafka.consumer.servers=10.93.21.21:9092 kafka.consumer.enable.auto.commit=true kafka.consumer.session.timeout=6000 kafka.consumer.auto.commit.interval=100 kafka.consumer.auto.offset.reset=latest kafka.consumer.topic=test kafka.consumer.group.id=test kafka.consumer.concurrency=10 kafka.producer.servers=10.93.21.21:9092 kafka.producer.retries=0 kafka.producer.batch.size=4096 kafka.producer.linger=1 kafka.producer.buffer.memory=40960

**2、Configuration：Kafka producer **

**1）通过@Configuration、@EnableKafka，声明Config并且打开KafkaTemplate能力。**

**2）通过@Value注入application.properties配置文件中的kafka配置。**

**3）生成bean，@Bean**

package com.kangaroo.sentinel.collect.configuration; import java.util.HashMap; import java.util.Map; 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.DefaultKafkaProducerFactory; import org.springframework.kafka.core.KafkaTemplate; import org.springframework.kafka.core.ProducerFactory; @Configuration @EnableKafka public class KafkaProducerConfig { @Value("${kafka.producer.servers}") private String servers; @Value("${kafka.producer.retries}") private int retries; @Value("${kafka.producer.batch.size}") private int batchSize; @Value("${kafka.producer.linger}") private int linger; @Value("${kafka.producer.buffer.memory}") private int bufferMemory; public Map<String, Object> producerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, servers); props.put(ProducerConfig.RETRIES_CONFIG, retries); props.put(ProducerConfig.BATCH_SIZE_CONFIG, batchSize); props.put(ProducerConfig.LINGER_MS_CONFIG, linger); 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; } public ProducerFactory<String, String> producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); } @Bean public KafkaTemplate<String, String> kafkaTemplate() { return new KafkaTemplate<String, String>(producerFactory()); } }

**实验我们的producer，写一个Controller。想topic=test，key=key，发送消息message**

package com.kangaroo.sentinel.collect.controller; import com.kangaroo.sentinel.common.response.Response; import com.kangaroo.sentinel.common.response.ResultCode; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.kafka.core.KafkaTemplate; import org.springframework.web.bind.annotation.*; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; @RestController @RequestMapping("/kafka") public class CollectController { protected final Logger logger = LoggerFactory.getLogger(this.getClass()); @Autowired private KafkaTemplate kafkaTemplate; @RequestMapping(value = "/send", method = RequestMethod.GET) public Response sendKafka(HttpServletRequest request, HttpServletResponse response) { try { String message = request.getParameter("message"); logger.info("kafka的消息={}"， message); kafkaTemplate.send("test", "key", message); logger.info("发送kafka成功."); return new Response(ResultCode.SUCCESS, "发送kafka成功", null); } catch (Exception e) { logger.error("发送kafka失败", e); return new Response(ResultCode.EXCEPTION, "发送kafka失败", null); } } }

**3、configuration：kafka consumer**

**1）通过@Configuration、@EnableKafka，声明Config并且打开KafkaTemplate能力。**

**2）通过@Value注入application.properties配置文件中的kafka配置。**

**3）生成bean，@Bean**

package com.kangaroo.sentinel.collect.configuration; import org.apache.kafka.clients.consumer.ConsumerConfig; import org.apache.kafka.common.serialization.StringDeserializer; 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.ConsumerFactory; import org.springframework.kafka.core.DefaultKafkaConsumerFactory; import org.springframework.kafka.listener.ConcurrentMessageListenerContainer; import java.util.HashMap; import java.util.Map; @Configuration @EnableKafka public class KafkaConsumerConfig { @Value("${kafka.consumer.servers}") private String servers; @Value("${kafka.consumer.enable.auto.commit}") private boolean enableAutoCommit; @Value("${kafka.consumer.session.timeout}") private String sessionTimeout; @Value("${kafka.consumer.auto.commit.interval}") private String autoCommitInterval; @Value("${kafka.consumer.group.id}") private String groupId; @Value("${kafka.consumer.auto.offset.reset}") private String autoOffsetReset; @Value("${kafka.consumer.concurrency}") private int concurrency; @Bean public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory() { ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(consumerFactory()); factory.setConcurrency(concurrency); factory.getContainerProperties().setPollTimeout(1500); return factory; } public ConsumerFactory<String, String> consumerFactory() { return new DefaultKafkaConsumerFactory<>(consumerConfigs()); } public Map<String, Object> consumerConfigs() { Map<String, Object> propsMap = new HashMap<>(); propsMap.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, servers); propsMap.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit); propsMap.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, autoCommitInterval); propsMap.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, sessionTimeout); propsMap.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); propsMap.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); propsMap.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); propsMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset); return propsMap; } @Bean public Listener listener() { return new Listener(); } }

**new Listener()生成一个bean用来处理从kafka读取的数据。Listener简单的实现demo如下：只是简单的读取并打印key和message值**

**@KafkaListener中topics属性用于指定kafka topic名称，topic名称由消息生产者指定，也就是由kafkaTemplate在发送消息时指定。**

package com.kangaroo.sentinel.collect.configuration; import org.apache.kafka.clients.consumer.ConsumerRecord; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.kafka.annotation.KafkaListener; public class Listener { protected final Logger logger = LoggerFactory.getLogger(this.getClass()); @KafkaListener(topics = {"test"}) public void listen(ConsumerRecord<?, ?> record) { logger.info("kafka的key: " + record.key()); logger.info("kafka的value: " + record.value().toString()); } }

tips:

1）我没有介绍如何安装配置kafka，配置kafka时最好用完全bind网络ip的方式，而不是localhost或者127.0.0.1

2）最好不要使用kafka自带的zookeeper部署kafka，可能导致访问不通。

3）理论上consumer读取kafka应该是通过zookeeper，但是这里我们用的是kafkaserver的地址，为什么没有深究。

4）定义监听消息配置时，GROUP\_ID\_CONFIG配置项的值用于指定消费者组的名称，如果同组中存在多个监听器对象则只有一个监听器对象能收到消息。

参考： [http://www.cnblogs.com/kangoroo/p/7353330.html][http_www.cnblogs.com_kangoroo_p_7353330.html]

[http_www.cnblogs.com_kangoroo_p_7353330.html]: http://www.cnblogs.com/kangoroo/p/7353330.html