springboot配置kafka生产者和消费者详解
在原有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>
application.properties：
1 #原始数据kafka读取 2 kafka.consumer.servers=IP:9092,IP:9092(kafka消费集群ip+port端口) 3 kafka.consumer.enable.auto.commit=true(是否自动提交) 4 kafka.consumer.session.timeout=20000(连接超时时间) 5 kafka.consumer.auto.commit.interval=100 6 kafka.consumer.auto.offset.reset=latest(实时生产，实时消费，不会从头开始消费) 7 kafka.consumer.topic=result(消费的topic) 8 kafka.consumer.group.id=test(消费组) 9 kafka.consumer.concurrency=10(设置消费线程数) 10 11 #协议转换后存储kafka 12 kafka.producer.servers=IP:9092,IP:9092(kafka生产集群ip+port端口) 13 kafka.producer.topic=result(生产的topic) 14 kafka.producer.retries=0 15 kafka.producer.batch.size=4096 16 kafka.producer.linger=1 17 kafka.producer.buffer.memory=40960
springboot生产者配置：
1 package com.mapbar.track_storage.config; 2 3 import org.apache.kafka.clients.producer.ProducerConfig; 4 import org.apache.kafka.common.serialization.StringSerializer; 5 import org.springframework.beans.factory.annotation.Value; 6 import org.springframework.context.annotation.Bean; 7 import org.springframework.context.annotation.Configuration; 8 import org.springframework.kafka.annotation.EnableKafka; 9 import org.springframework.kafka.core.DefaultKafkaProducerFactory; 10 import org.springframework.kafka.core.KafkaTemplate; 11 import org.springframework.kafka.core.ProducerFactory; 12 13 import java.util.HashMap; 14 import java.util.Map; 15 16 /** 17 * kafka生产配置 18 * @author Lvjiapeng 19 * 20 */ 21 @Configuration 22 @EnableKafka 23 public class KafkaProducerConfig { 24 @Value("${kafka.producer.servers}") 25 private String servers; 26 @Value("${kafka.producer.retries}") 27 private int retries; 28 @Value("${kafka.producer.batch.size}") 29 private int batchSize; 30 @Value("${kafka.producer.linger}") 31 private int linger; 32 @Value("${kafka.producer.buffer.memory}") 33 private int bufferMemory; 34 35 public Map<String, Object> producerConfigs() { 36 Map<String, Object> props = new HashMap<>(); 37 props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, servers); 38 props.put(ProducerConfig.RETRIES_CONFIG, retries); 39 props.put(ProducerConfig.BATCH_SIZE_CONFIG, batchSize); 40 props.put(ProducerConfig.LINGER_MS_CONFIG, linger); 41 props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, bufferMemory); 42 props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class); 43 props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class); 44 return props; 45 } 46 47 public ProducerFactory<String, String> producerFactory() { 48 return new DefaultKafkaProducerFactory<>(producerConfigs()); 49 } 50 51 @Bean 52 public KafkaTemplate<String, String> kafkaTemplate() { 53 return new KafkaTemplate<String, String>(producerFactory()); 54 } 55 }
springboot消费者配置：
1 package com.mapbar.track_storage.config; 2 3 import org.apache.kafka.clients.consumer.ConsumerConfig; 4 import org.apache.kafka.common.serialization.StringDeserializer; 5 import org.springframework.beans.factory.annotation.Value; 6 import org.springframework.context.annotation.Bean; 7 import org.springframework.context.annotation.Configuration; 8 import org.springframework.kafka.annotation.EnableKafka; 9 import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory; 10 import org.springframework.kafka.config.KafkaListenerContainerFactory; 11 import org.springframework.kafka.core.ConsumerFactory; 12 import org.springframework.kafka.core.DefaultKafkaConsumerFactory; 13 import org.springframework.kafka.listener.ConcurrentMessageListenerContainer; 14 15 import java.util.HashMap; 16 import java.util.Map; 17 18 /** 19 * kafka消费者配置 20 * @author Lvjiapeng 21 * 22 */ 23 @Configuration 24 @EnableKafka 25 public class KafkaConsumerConfig { 26 27 @Value("${kafka.consumer.servers}") 28 private String servers; 29 @Value("${kafka.consumer.enable.auto.commit}") 30 private boolean enableAutoCommit; 31 @Value("${kafka.consumer.session.timeout}") 32 private String sessionTimeout; 33 @Value("${kafka.consumer.auto.commit.interval}") 34 private String autoCommitInterval; 35 @Value("${kafka.consumer.group.id}") 36 private String groupId; 37 @Value("${kafka.consumer.auto.offset.reset}") 38 private String autoOffsetReset; 39 @Value("${kafka.consumer.concurrency}") 40 private int concurrency; 41 42 @Bean 43 public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory() { 44 ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>(); 45 factory.setConsumerFactory(consumerFactory()); 46 factory.setConcurrency(concurrency); 47 factory.getContainerProperties().setPollTimeout(1500); 48 return factory; 49 } 50 51 public ConsumerFactory<String, String> consumerFactory() { 52 return new DefaultKafkaConsumerFactory<>(consumerConfigs()); 53 } 54 55 56 public Map<String, Object> consumerConfigs() { 57 Map<String, Object> propsMap = new HashMap<>(); 58 propsMap.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, servers); 59 propsMap.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit); 60 propsMap.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, autoCommitInterval); 61 propsMap.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, sessionTimeout); 62 propsMap.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); 63 propsMap.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); 64 propsMap.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); 65 propsMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset); 66 return propsMap; 67 } 68 /** 69 * kafka监听 70 * @return 71 */ 72 @Bean 73 public RawDataListener listener() { 74 return new RawDataListener(); 75 } 76 77 }
生产者测试：
1 package com.mapbar.track_storage.controller; 2 3 import org.springframework.beans.factory.annotation.Autowired; 4 import org.springframework.kafka.core.KafkaTemplate; 5 import org.springframework.stereotype.Controller; 6 import org.springframework.web.bind.annotation.RequestMapping; 7 import org.springframework.web.bind.annotation.RequestMethod; 8 9 import javax.servlet.http.HttpServletRequest; 10 import javax.servlet.http.HttpServletResponse; 11 import java.io.IOException; 12 13 @RequestMapping(value = "/kafka") 14 @Controller 15 public class ProducerController { 16 @Autowired 17 private KafkaTemplate kafkaTemplate; 18 19 @RequestMapping(value = "/producer",method = RequestMethod.GET) 20 public void consume(HttpServletRequest request, HttpServletResponse response) throws IOException{ 21 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}]}"; 22 for (int i = 1; i<=500; i++){ 23 kafkaTemplate.send("result",value); 24 } 25 } 26 }
消费者测试：
1 import net.sf.json.JSONObject; 2 import org.apache.kafka.clients.consumer.ConsumerRecord; 3 import org.apache.log4j.Logger; 4 import org.springframework.beans.factory.annotation.Autowired; 5 import org.springframework.kafka.annotation.KafkaListener; 6 import org.springframework.stereotype.Component; 7 8 import java.io.IOException; 9 import java.util.List; 10 11 /** 12 * kafka监听 13 * @author shangzz 14 * 15 */ 16 @Component 17 public class RawDataListener { 18 Logger logger=Logger.getLogger(RawDataListener.class); 19 @Autowired 20 private MatchRoadService matchRoadService; 21 22 /** 23 * 实时获取kafka数据(生产一条，监听生产topic自动消费一条) 24 * @param record 25 * @throws IOException 26 */ 27 @KafkaListener(topics = {"${kafka.consumer.topic}"}) 28 public void listen(ConsumerRecord<?, ?> record) throws IOException { 29 String value = (String) record.value(); 30 System.out.println(value); 31 } 32 33 }
总结：
① 生产者环境类配置好以后，@Autowired自动注入KafkaTemplate类，使用send方法生产消息
② 消费者环境类配置好以后，方法头前使用@KafkaListener(topics = {“${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
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