SpringBoot配置Kafka的生产者与消费者

SpringBoot配置Kafka的生产者与消费者
1. 配置pom.xml 文件
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
2. 配置application.properties 文件
#zookeeper连接地址
kafka.consumer.zookeeper.connect=192.168.16.23:8082
#消费者集群地址ip+port，可以是多个，逗号分隔
kafka.consumer.servers=192.168.16.22:8083
#是否自动提交
kafka.consumer.enable.auto.commit=true
#连接超时时间
kafka.consumer.session.timeout=6000
#刷新间隔时间，负值失败时候刷新，0每次发送后刷新
kafka.consumer.auto.commit.interval=100
#latest-各分区有提交的offset从提交地方消费，没有实时生成实时消费，不会从头消费
#earliest-各分区有提交的offset从提交的地方开始消费，没有提交的从头开始消费
#none-各分区都有提交的offset从提交的地方开始消费，有一个分区没有提交的抛出异常
kafka.consumer.auto.offset.reset=latest
#消费topic
kafka.consumer.topic=topic1
#消费组id
kafka.consumer.group.id=group1
#消费线程数
kafka.consumer.concurrency=10

#生产者集群地址ip+port，可以是多个，逗号分隔
kafka.producer.servers=15.128.16.232:8083
#重试次数，默认为0不重试
kafka.producer.retries=0
#批处理字节数，默认16384（16K）
kafka.producer.batch.size=4096
#逗留时间，延时作用，默认为0立即发送
kafka.producer.linger=1
#内存大小，默认33554432（32M），当生成速度大于接收速度，用于缓存消息
kafka.producer.buffer.memory=40960
#消息topic
kafka.topic.default=topic1
3. 生产者配置
package com.xuexi.kafka.config;

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

import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
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 org.springframework.kafka.support.serializer.JsonDeserializer;
import org.springframework.kafka.support.serializer.JsonSerializer;

@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<>(producerFactory());
}
}
4. 消费者配置
package com.xuexi.kafka.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 org.springframework.kafka.support.serializer.JsonDeserializer;

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;
}

private ConsumerFactory<String, String> consumerFactory() {
return new DefaultKafkaConsumerFactory<>(
consumerConfigs(),
new StringDeserializer(),
new StringDeserializer()
);
}

private 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;
}
}
5. 生产者
package com.xuexi.kafka.producer;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Component;

@Component
public class SimpleProducer {

@Autowired
@Qualifier("kafkaTemplate")
private KafkaTemplate kafkaTemplate;

public void send(String topic, String message) {
kafkaTemplate.send(topic, message);
}
}
6. 消费者
package com.xuexi.kafka.consumer;

import lombok.extern.slf4j.Slf4j;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

@Slf4j
@Component
public class SimpleConsumer {

@KafkaListener(topics = "${kafka.topic.default}", containerFactory = "kafkaListenerContainerFactory")
public void receive(String message) {

if(message.contains("key")){
//dosomething
log.info(message);
}
}
}
7. 生产者测试
package com.xuexi.kafka.controller;

import com.xuexi.common.JSONResult;
import com.xuexi.kafka.producer.SimpleProducer;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RestController;


@Slf4j
@RestController
@RequestMapping("/kafka")
public class ProduceController {
@Autowired
private SimpleProducer simpleProducer;

@Value("${kafka.topic.default}")
private String topic;

@RequestMapping(value = "/sendKafka", method = RequestMethod.GET, produces = {"application/json"})
public JSONResult sendKafka() {
SimpleProducer.send(topic, "测试")；
return JSONResult.ok();
}
}
8. 样例下载链接 https://download.csdn.net/download/u010782875/13609247
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版权声明：本文为CSDN博主「擦肩回眸2011」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/u010782875/article/details/110947316