Springboot中使用kafka

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>

2.在application.properties增加配置：

# kafka producer 配置

spring.kafka.producer.servers=IP:9092,IP:9092(kafka生产集群ip+port端口)

spring.kafka.producer.topic=result(生产的topic)

spring.kafka.producer.retries=0

spring.kafka.producer.batch.size=4096

spring.kafka.producer.linger=1

spring.kafka.producer.buffer.memory=40960

# kafka consumer 配置（多线程批量拉取消费并手动提交偏移量）

spring.kafka.consumer.servers=ip:port,ip:port,ip:port

spring.kafka.consumer.enable.auto.commit=false

spring.kafka.consumer.session.timeout=15000

spring.kafka.consumer.auto.commit.interval=100

spring.kafka.consumer.group.id=consumer-1

spring.kafka.consumer.auto.offset.reset=latest

spring.kafka.consumer.max.poll.records=100

spring.kafka.consumer.concurrency=4

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());
}
}

View Code

4.消费者配置类：

package com.kafka.consumer.conf;

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.DefaultKafkaConsumerFactory;
import org.springframework.kafka.listener.ContainerProperties;

import java.util.HashMap;
import java.util.Map;

/**
 * kafka消费者配置
 *
 * @author songzhen
 */
@Configuration
@EnableKafka
public class KafkaConsumerConfig {

    @Value("${spring.kafka.consumer.servers}")
    private String servers;
    @Value("${spring.kafka.consumer.enable.auto.commit}")
    private boolean enableAutoCommit;
    @Value("${spring.kafka.consumer.session.timeout}")
    private String sessionTimeout;
    @Value("${spring.kafka.consumer.auto.commit.interval}")
    private String autoCommitInterval;
    @Value("${spring.kafka.consumer.group.id}")
    private String groupId;
    @Value("${spring.kafka.consumer.auto.offset.reset}")
    private String autoOffsetReset;
    @Value("${spring.kafka.consumer.max.poll.records}")
    private String pollRecords;
    @Value("${spring.kafka.consumer.concurrency}")
    private int concurrency;

    @Bean
    public KafkaListenerContainerFactory<?> kafkaListenerContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(new DefaultKafkaConsumerFactory<>(consumerConfigs()));
        factory.getContainerProperties().setAckMode(ContainerProperties.AckMode.MANUAL_IMMEDIATE);
        factory.getContainerProperties().setPollTimeout(1500);
        factory.setConcurrency(concurrency);
        factory.setBatchListener(true);
        return factory;
    }
    
    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.MAX_POLL_RECORDS_CONFIG, pollRecords);
        propsMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset);
        return propsMap;
    }

}

View Code

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);
}
}
}

View Code

6.测试消费者：

@KafkaListener(topics = {"${meeting.consumer.topic:sdk_meeting_client_data}"}, containerFactory="kafkaListenerContainerFactory")
    public void listen(List<ConsumerRecord<String, String>> records, Acknowledgment ack, Consumer consumer) {
        log.info("kafka consumer pull records num = {}",records.size());
        for (ConsumerRecord<String, String> consumerRecord : records) {
            try {
              // 做业务处理

            } catch (Exception e) {
                // 处理异常时重置指针，重复消费，直至成功，防止因异常导致数据丢失
                consumer.seek(new TopicPartition(consumerRecord.topic(), consumerRecord.partition()), consumerRecord.offset());
                log.error("kafka listen deal error",e);
                return;
            }
            // 提交偏移量
            ack.acknowledge();
        }

    }

View Code

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);
}
}

View Code

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

posted @ 2019-03-12 18:00 青取之于蓝阅读(10441) 评论(1) 编辑收藏举报

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青取之于蓝

Springboot中使用kafka

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

2.在application.properties增加配置：

3.生产者配置类：

4.消费者配置类：

5.测试生产者：

6.测试消费者：

总结：

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