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springboot配置kafka生産者和消費者詳解

在原有pom.xml依賴下新添加一下kafka依賴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：

#原始資料kafka讀取
kafka.consumer.servers=IP:9092,IP:9092(kafka消費叢集ip+port端口)
kafka.consumer.enable.auto.commit=true(是否自動送出)
kafka.consumer.session.timeout=20000(連接配接逾時時間)
kafka.consumer.auto.commit.interval=100
kafka.consumer.auto.offset.reset=latest(實時生産，實時消費，不會從頭開始消費)
kafka.consumer.topic=result(消費的topic)
kafka.consumer.group.id=test(消費組)
kafka.consumer.concurrency=10(設定消費線程數)

#協定轉換後存儲kafka
kafka.producer.servers=IP:9092,IP:9092(kafka生産叢集ip+port端口)
kafka.producer.topic=result(生産的topic)
kafka.producer.retries=0
kafka.producer.batch.size=4096
kafka.producer.linger=1
kafka.producer.buffer.memory=40960

springboot生産者配置：

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生産配置
 * @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());
    }
}

springboot消費者配置：

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消費者配置
 * @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監聽
     * @return
     */
    @Bean
    public RawDataListener listener() {
        return new RawDataListener();
    }

}

生産者測試：

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);
        }
    }
}

消費者測試：

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監聽
 * @author shangzz
 *
 */
@Component
public class RawDataListener {
	Logger logger=Logger.getLogger(RawDataListener.class);
	@Autowired
	private MatchRoadService matchRoadService;

	/**
	 * 實時擷取kafka資料(生産一條，監聽生産topic自動消費一條)
	 * @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);
	}

}

總結：

         ①  生産者環境類配置好以後，@Autowired自動注入KafkaTemplate類，使用send方法生産消息

         ②  消費者環境類配置好以後，方法頭前使用@KafkaListener(topics = {"${kafka.consumer.topic}"})注解監聽topic并傳入ConsumerRecord<?, ?> record對象即可自動消費topic

         ③  相關kafka配置隻需在application.properties照葫蘆畫瓢添加，修改或者删除配置并在環境配置類中做出相應修改即可

消息中間件 java kafka apache Java消息中間件 java消息 Java消息系統 java系統消息 通過java消息
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