SpringBoot配置Kafka的生产者与消费者

1. 配置pom.xml 文件

org.springframework.kafka

spring-kafka

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 producerConfigs() {

Map 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 producerFactory() {

return new DefaultKafkaProducerFactory<>(producerConfigs());

}

@Bean

public KafkaTemplate 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> kafkaListenerContainerFactory() {

ConcurrentKafkaListenerContainerFactory factory = new ConcurrentKafkaListenerContainerFactory<>();

factory.setConsumerFactory(consumerFactory());

factory.setConcurrency(concurrency);

factory.getContainerProperties().setPollTimeout(1500);

return factory;

}

private ConsumerFactory consumerFactory() {

return new DefaultKafkaConsumerFactory<>(

consumerConfigs(),

new StringDeserializer(),

new StringDeserializer()

);

}

private Map consumerConfigs() {

Map 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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原文链接：https://blog.csdn.net/u010782875/article/details/110947316

SpringBoot配置Kafka的生产者与消费者

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