注:kafka消息队列默认采用配置消息主题进行消费，一个topic中的消息只能被同一个组（groupId）的消费者中的一个消费者消费。
1.在pom.xml依赖下新添加一下kafka依赖ar包
<!--kafka--> <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> <version>1.1.1.RELEASE</version> </dependency> <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.10</artifactId> <version>0.10.0.1</version> </dependency>
2.在application.properties增加配置：
#原始数据kafka读取 kafka.consumer.servers=IP:9092,IP:9092(kafka消费集群ip+port端口) kafka.consumer.enable.auto.commit=true(是否自动提交) kafka.consumer.session.timeout=20000(连接超时时间) kafka.consumer.auto.commit.interval=100 kafka.consumer.auto.offset.reset=latest(实时生产，实时消费，不会从头开始消费) kafka.consumer.topic=result(消费的topic) kafka.consumer.group.id=test(消费组) kafka.consumer.concurrency=10(设置消费线程数) #协议转换后存储kafka kafka.producer.servers=IP:9092,IP:9092(kafka生产集群ip+port端口) kafka.producer.topic=result(生产的topic) kafka.producer.retries=0 kafka.producer.batch.size=4096 kafka.producer.linger=1 kafka.producer.buffer.memory=40960
3.生产者配置类：
package com.mapbar.track_storage.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.DefaultKafkaProducerFactory; import org.springframework.kafka.core.KafkaTemplate; import org.springframework.kafka.core.ProducerFactory; import java.util.HashMap; import java.util.Map; /** * kafka生产配置 * @author Lvjiapeng * */ @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("${kafka.producer.buffer.memory}") private int bufferMemory; public Map<String, Object> producerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, servers); props.put(ProducerConfig.RETRIES_CONFIG, retries); props.put(ProducerConfig.BATCH_SIZE_CONFIG, batchSize); props.put(ProducerConfig.LINGER_MS_CONFIG, linger); props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, bufferMemory); props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class); props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class); return props; } public ProducerFactory<String, String> producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); } @Bean public KafkaTemplate<String, String> kafkaTemplate() { return new KafkaTemplate<String, String>(producerFactory()); } }
4.消费者配置类：
package com.mapbar.track_storage.config; import org.apache.kafka.clients.consumer.ConsumerConfig; import org.apache.kafka.common.serialization.StringDeserializer; import org.springframework.beans.factory.annotation.Value; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.kafka.annotation.EnableKafka; import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory; import org.springframework.kafka.config.KafkaListenerContainerFactory; import org.springframework.kafka.core.ConsumerFactory; import org.springframework.kafka.core.DefaultKafkaConsumerFactory; import org.springframework.kafka.listener.ConcurrentMessageListenerContainer; import java.util.HashMap; import java.util.Map; /** * kafka消费者配置 * @author Lvjiapeng * */ @Configuration @EnableKafka public class KafkaConsumerConfig { @Value("${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; } /** * kafka监听 * @return */ @Bean public RawDataListener listener() { return new RawDataListener(); } }
5.测试生产者：
package com.mapbar.track_storage.controller; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.kafka.core.KafkaTemplate; import org.springframework.stereotype.Controller; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RequestMethod; import javax.servlet.http.HttpServletRequest; import javax.servlet.http.HttpServletResponse; import java.io.IOException; @RequestMapping(value = "/kafka") @Controller public class ProducerController { @Autowired private KafkaTemplate kafkaTemplate; @RequestMapping(value = "/producer",method = RequestMethod.GET) public void consume(HttpServletRequest request, HttpServletResponse response) throws IOException{ String value = "{"code":200,"dataVersion":"17q1","message":"","id":"364f79f28eea48eefeca8c85477a10d3","source":"didi","tripList":[{"subTripList":[{"startTimeStamp":1519879598,"schemeList":[{"distance":0.0,"ids":"94666702,","schemeId":0,"linkList":[{"score":72,"distance":1,"gpsList":[{"origLonLat":"116.321343,40.43242","grabLonLat":"112.32312,40.32132","timestamp":1515149926000}]}]}],"endTimeStamp":1519879598,"subTripId":0},{"startTimeStamp":1519879727,"schemeList":[{"distance":1395.0,"ids":"94666729,7298838,7291709,7291706,88613298,88613297,7297542,7297541,94698785,94698786,94698778,94698780,94698779,94698782,","schemeId":0,"linkList":[{"score":72,"distance":1,"gpsList":[{"origLonLat":"116.321343,40.43242","grabLonLat":"112.32312,40.32132","timestamp":1515149926000}]}]}],"endTimeStamp":1519879812,"subTripId":1},{"startTimeStamp":1519879836,"schemeList":[{"distance":0.0,"ids":"54123007,","schemeId":0,"linkList":[{"score":72,"distance":1,"gpsList":[{"origLonLat":"116.321343,40.43242","grabLonLat":"112.32312,40.32132","timestamp":1515149926000}]}]}],"endTimeStamp":1519879904,"subTripId":2},{"startTimeStamp":1519879959,"schemeList":[{"distance":0.0,"ids":"54190443,","schemeId":0,"linkList":[{"score":72,"distance":1,"gpsList":[{"origLonLat":"116.321343,40.43242","grabLonLat":"112.32312,40.32132","timestamp":1515149926000}]}]}],"endTimeStamp":1519879959,"subTripId":3},{"startTimeStamp":1519880088,"schemeList":[{"distance":2885.0,"ids":"94698824,94698822,94698789,94698786,54123011,54123012,54123002,94698763,94698727,94698722,94698765,54123006,54123004,","schemeId":0,"linkList":[{"score":72,"distance":1,"gpsList":[{"origLonLat":"116.321343,40.43242","grabLonLat":"112.32312,40.32132","timestamp":1515149926000}]}]}],"endTimeStamp":1519880300,"subTripId":4},{"startTimeStamp":1519880393,"schemeList":[{"distance":2398.0,"ids":"7309441,7303680,54123061,54123038,7309478,7309477,94698204,94698203,94698273,94698274,94698288,94698296,94698295,94698289,94698310,","schemeId":0,"linkList":[{"score":72,"distance":1,"gpsList":[{"origLonLat":"116.321343,40.43242","grabLonLat":"112.32312,40.32132","timestamp":1515149926000}]}]}],"endTimeStamp":1519880636,"subTripId":5},{"startTimeStamp":1519881064,"schemeList":[{"distance":35.0,"ids":"7309474,","schemeId":0,"linkList":[{"score":72,"distance":1,"gpsList":[{"origLonLat":"116.321343,40.43242","grabLonLat":"112.32312,40.32132","timestamp":1515149926000}]}]}],"endTimeStamp":1519881204,"subTripId":6},{"startTimeStamp":1519881204,"schemeList":[{"distance":28.0,"ids":"7309476,","schemeId":0,"linkList":[{"score":72,"distance":1,"gpsList":[{"origLonLat":"116.321343,40.43242","grabLonLat":"112.32312,40.32132","timestamp":1515149926000}]}]}],"endTimeStamp":1519881266,"subTripId":7},{"startTimeStamp":1519881291,"schemeList":[{"distance":463.0,"ids":"7303683,","schemeId":0,"linkList":[{"score":72,"distance":1,"gpsList":[{"origLonLat":"116.321343,40.43242","grabLonLat":"112.32312,40.32132","timestamp":1515149926000}]}]}],"endTimeStamp":1519881329,"subTripId":8}],"startTimeStamp":1519879350,"unUseTime":1201,"totalTime":2049,"endTimeStamp":1519881399,"tripId":0}]}"; for (int i = 1; i<=500; i++){ kafkaTemplate.send("result",value); } } }
6.测试消费者：
import net.sf.json.JSONObject; import org.apache.kafka.clients.consumer.ConsumerRecord; import org.apache.log4j.Logger; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.kafka.annotation.KafkaListener; import org.springframework.stereotype.Component; import java.io.IOException; import java.util.List; /** * kafka监听 * @author shangzz * */ @Component public class RawDataListener { Logger logger=Logger.getLogger(RawDataListener.class); @Autowired private MatchRoadService matchRoadService; /** * 实时获取kafka数据(生产一条，监听生产topic自动消费一条) * @param record * @throws IOException */ @KafkaListener(topics = {"${kafka.consumer.topic}"}) public void listen(ConsumerRecord<?, ?> record) throws IOException { String value = (String) record.value(); System.out.println(value); } }
总结：
① 生产者环境类配置好以后，@Autowired自动注入KafkaTemplate类，使用send方法生产消息
② 消费者环境类配置好以后，方法头前使用@KafkaListener(topics = {"${kafka.consumer.topic}"})注解监听topic并传入ConsumerRecord<?, ?> record对象即可自动消费topic
③ 相关kafka配置只需在application.properties照葫芦画瓢添加，修改或者删除配置并在环境配置类中做出相应修改即可
二：怎么实现让一个topic可以让不同group消费呢
goupid不要用配置文件配置的方式，细心的话，会发现@KafkaListener 注解，里面有一个containerFactory参数，就是让你指定容器工厂的
栗子：
import java.util.HashMap; import java.util.Map; import org.apache.kafka.clients.consumer.ConsumerConfig; import org.apache.kafka.common.serialization.StringDeserializer; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; 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; @Configuration public class KafkaConsumerConfig { private String brokers = "192.168.52.130:9092,192.168.52.131:9092,192.168.52.133:9092"; private String group1 = "test1"; private String group2 = "test2"; @Bean public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory1() { ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<String, String>(); factory.setConsumerFactory(consumerFactory1()); factory.setConcurrency(4); factory.getContainerProperties().setPollTimeout(4000); return factory; } @Bean public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory2() { ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<String, String>(); factory.setConsumerFactory(consumerFactory2()); factory.setConcurrency(4); factory.getContainerProperties().setPollTimeout(4000); return factory; } public Map<String, Object> getCommonPropertis() { Map<String, Object> properties = new HashMap<String, Object>(); properties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, brokers); properties.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false); properties.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "100"); properties.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "15000"); properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); properties.put(ConsumerConfig.GROUP_ID_CONFIG, group1); properties.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "latest"); return properties; } public ConsumerFactory<String, String> consumerFactory1() { Map<String, Object> properties = getCommonPropertis(); properties.put(ConsumerConfig.GROUP_ID_CONFIG, group1); return new DefaultKafkaConsumerFactory<String, String>(properties); } public ConsumerFactory<String, String> consumerFactory2() { Map<String, Object> properties = getCommonPropertis(); properties.put(ConsumerConfig.GROUP_ID_CONFIG, group2); return new DefaultKafkaConsumerFactory<String, String>(properties); } }
最后，在@KafkaListener 中指定容器名称
@KafkaListener(id="test1",topics = "test-topic", containerFactory="kafkaListenerContainerFactory1")
@KafkaListener(id="test2",topics = "test-topic", containerFactory="kafkaListenerContainerFactory2")
高版本 在@KafkaListener 注解中有groupId属性可以设置
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转载：https://blog.csdn.net/lv_1093964643/article/details/83177280