spring boot 接口性能优化实战，类似实现秒杀功能，同时实现spring cloud gateway redis实现限流

fyihdg2024-12-16 13:56

目录

1、场景说明

[1.1 saveDataAcount接口慢](#1.1 saveDataAcount接口慢)

1.2.接口优化方案设计

2.搭建serviceA服务

[2.1接入 RabbitMQ](#2.1接入 RabbitMQ)

[2.2 接入redis](#2.2 接入redis)

[2.3 监听exampleServiceAPI过来的数据](#2.3 监听exampleServiceAPI过来的数据)

2.4数据库连接改造

[2.5 生产者](#2.5 生产者)

[2.6 配置 application.yml 的pom.xml](#2.6 配置 application.yml 的pom.xml)

3.搭建exampleServiceAPI服务

[3.1 接入kafka](#3.1 接入kafka)

[3.2 接入RabbitMQ](#3.2 接入RabbitMQ)

[3.3 接入redis](#3.3 接入redis)

[3.4 监听serviceA发过来的消息](#3.4 监听serviceA发过来的消息)

[3.5 模拟业务方收到的kafka消息](#3.5 模拟业务方收到的kafka消息)

[3.6 对外业务接口](#3.6 对外业务接口)

[3.7 生产者](#3.7 生产者)

[3.8 application.yml和pom.xml](#3.8 application.yml和pom.xml)

4.并发测试

[4.1 旧接口测试](#4.1 旧接口测试)

[4.2 改造后的接口测试](#4.2 改造后的接口测试)

5.搭建test-gateway网关服务

[5.1 限流配置](#5.1 限流配置)

[5.2 实现请求的限流功能](#5.2 实现请求的限流功能)

[5.3 定义限流策略中的键](#5.3 定义限流策略中的键)

[5.4 限流配置](#5.4 限流配置)

[5.5 application.yml和pom.xml](#5.5 application.yml和pom.xml)

[6. JMeter 限流测试](#6. JMeter 限流测试)

[6.1 JMeter 配置](#6.1 JMeter 配置)

[6.2 压测结果](#6.2 压测结果)

1、场景说明

1.1 saveDataAcount接口慢

现在有一个需求，就是对原来的接口进行性能优化，提高并发量，为了方便大家学习，我新搭spring boot服务来演示这次优化的过程， serviceA有一个saveDataAcount接口，性能不佳，需要优化，如果是你，你怎么做？？ 慢的一个重要原因是每次请求都要把数据写到数据库，数据库的并发量是有限的，在高并发场景下是扛不不住的。

java 复制代码 
    /**
     * 模拟业务接口
     * @author
     */
    @PostMapping("/saveDataAcount")
    public String saveDataAcount(@RequestBody AccountDto accountDto){
        String accountData = dbService.useDb("select * from account");
        log.info("accountData:{}",accountData);
//        accountService.saveAccount(accountDto);
        return "处理成功!";
    }

演示用到的表：

sql 复制代码 
CREATE TABLE `account` (
  `oprid` varchar(11) DEFAULT NULL,
  `age` int DEFAULT NULL,
  `name` varchar(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;

1.2.接口优化方案设计

设计说明：

再搭建一个新微服务：exampleServiceAPI，接入kafka和rabbitMq，由exampleServiceAPI服务对外提供接口;当业务方调用接口的时候，exampleServiceAPI服务处理请求，直接响应，然后exampleServiceAPI服务用把此次请求入参通过rabbbitMq给serviceA服务发消息serviceA收到消息后，复用原来accountService.saveAccount()接口方法处理业务逻辑，把处理结果又通过rabbitMq发exampleServiceAPI这个新服务;exampleServiceAPI收到rabbitMq消息进行处理，不管成功或失败，把消费结果发送到kafka主题：ACCOUNT_KAFKA,成功或失败，通过status区分status=1，成功，status=0失败，调用方根据这个主题消费消息处理自己的业务逻辑。接下来搭项目演示优化过程。

2.搭建serviceA服务

2.1接入 RabbitMQ

java 复制代码 
package com.performance.optimization.config;

import lombok.extern.slf4j.Slf4j;
import org.springframework.amqp.core.*;
import org.springframework.amqp.rabbit.config.SimpleRabbitListenerContainerFactory;
import org.springframework.amqp.rabbit.connection.CachingConnectionFactory;
import org.springframework.amqp.rabbit.connection.ConnectionFactory;
import org.springframework.amqp.rabbit.core.RabbitTemplate;
import org.springframework.amqp.support.converter.MessageConversionException;
import org.springframework.amqp.support.converter.MessageConverter;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.amqp.SimpleRabbitListenerContainerFactoryConfigurer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

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

import static com.performance.optimization.constant.MQConstants.*;



@Slf4j
@Configuration
public class RabbitMQConfig {


    /* *
     *创建连接工厂
     */
    @Bean(name = "accountMsgConnectionFactory")
    public ConnectionFactory accountMsgConnectionFactory(@Value("${hdg.rabbitmq.my-rabbit.address}") String address,
                                                         @Value("${hdg.rabbitmq.my-rabbit.username}") String username,
                                                         @Value("${hdg.rabbitmq.my-rabbit.password}") String password,
                                                         @Value("${hdg.rabbitmq.my-rabbit.virtual-host}") String vHost) {
        CachingConnectionFactory connectionFactory = new CachingConnectionFactory();
        connectionFactory.setAddresses(address);
        connectionFactory.setUsername(username);
        connectionFactory.setPassword(password);
        connectionFactory.setVirtualHost(vHost);
        //设置发送方确认
        connectionFactory.setPublisherConfirmType(CachingConnectionFactory.ConfirmType.CORRELATED);

        return connectionFactory;
    }
    /**
     * 生产者
     */
    @Bean(name = "accountMsgRabbitTemplate")
    public RabbitTemplate accountMsgRabbitTemplate(@Qualifier("accountMsgConnectionFactory") ConnectionFactory connectionFactory) {
        RabbitTemplate template = new RabbitTemplate();
        template.setConnectionFactory(connectionFactory);
        //设置messageId
        template.setMessageConverter(new MessageConverter() {
            @Override
            public Message toMessage(Object o, MessageProperties messageProperties) throws MessageConversionException {
                //设置UUID作为消息唯一标识
                String uuid = UUID.randomUUID().toString();
                messageProperties.setMessageId(uuid);
                return new Message(o.toString().getBytes(),messageProperties);
            }
            @Override
            public Object fromMessage(Message message) throws MessageConversionException {
                return message;
            }
        });
        template.setConfirmCallback((correlationData, ack, cause) -> {
                    if (!ack) {
                        log.error("[confirm][发送消息到exchange失败 correlationData: {} cause: {}]", correlationData, cause);
                    }
                }
        );
        return template;
    }
    @Bean("accountQueue")
    public Queue accountQueue() {
        Map<String, Object> args = new HashMap<>(2);
        args.put("x-dead-letter-exchange", DEAD_LETTER_EXCHANGE);
        args.put("x-dead-letter-routing-key", DEAD_LETTER_ACCOUNT_QUEUE_ROUTING_KEY);
        return QueueBuilder.durable(ACCOUNT_RESULT_QUEUE).withArguments(args).build();
    }

    @Bean("accountResultExchange")
    public DirectExchange accountExchange() {
        return new DirectExchange(ACCOUNT_RESULT_EXCHANGE);
    }

    @Bean
    public Binding bindingaccount(@Qualifier("accountQueue") Queue queue, @Qualifier("accountResultExchange") DirectExchange directExchange) {
        return BindingBuilder.bind(queue).to(directExchange).with(ACCOUNT_QUEUE_ROUTING_RESULT_KEY);
    }

    @Bean(name = "accountMsgListenerFactory")
    public SimpleRabbitListenerContainerFactory firstListenerFactory(
            SimpleRabbitListenerContainerFactoryConfigurer configurer,
            @Qualifier("accountMsgConnectionFactory") ConnectionFactory connectionFactory) {
        SimpleRabbitListenerContainerFactory listenerContainerFactory = new SimpleRabbitListenerContainerFactory();
        //设置手动ack
        listenerContainerFactory.setAcknowledgeMode(AcknowledgeMode.MANUAL);
        configurer.configure(listenerContainerFactory, connectionFactory);
        return listenerContainerFactory;
    }
}

2.2 接入redis

java 复制代码 
package com.performance.optimization.config;

import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.annotation.JsonAutoDetect.Visibility;
import com.fasterxml.jackson.annotation.JsonTypeInfo.As;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.ObjectMapper.DefaultTyping;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import com.performance.optimization.utils.RedisUtil;
import io.lettuce.core.cluster.ClusterClientOptions;
import io.lettuce.core.cluster.ClusterTopologyRefreshOptions;
import java.util.HashSet;
import java.util.Set;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisClusterConfiguration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.RedisSentinelConfiguration;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceClientConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

@Configuration
@EnableConfigurationProperties({RedisProperties.class})
public class RedisAutoConfig {

    @Autowired
    private RedisProperties redisProperties;

    public RedisAutoConfig() {
    }

    public GenericObjectPoolConfig genericObjectPoolConfig() {
        GenericObjectPoolConfig config = new GenericObjectPoolConfig();
        config.setMinIdle(this.redisProperties.getLettuce().getPool().getMinIdle());
        config.setMinIdle(this.redisProperties.getLettuce().getPool().getMaxIdle());
        config.setMaxTotal(this.redisProperties.getLettuce().getPool().getMaxActive());
        return config;
    }

    public LettuceClientConfiguration clusterClientConfiguration() {
        ClusterTopologyRefreshOptions clusterTopologyRefreshOptions = ClusterTopologyRefreshOptions.builder().enableAllAdaptiveRefreshTriggers().enablePeriodicRefresh().build();
        ClusterClientOptions clusterClientOptions = ClusterClientOptions.builder().topologyRefreshOptions(clusterTopologyRefreshOptions).build();
        LettuceClientConfiguration lettuceClientConfiguration = LettucePoolingClientConfiguration.builder().poolConfig(this.genericObjectPoolConfig()).clientOptions(clusterClientOptions).build();
        return lettuceClientConfiguration;
    }

    public RedisClusterConfiguration clusterConfiguration() {
        RedisClusterConfiguration clusterConfiguration = new RedisClusterConfiguration(this.redisProperties.getCluster().getNodes());
        clusterConfiguration.setMaxRedirects(this.redisProperties.getCluster().getMaxRedirects());
        clusterConfiguration.setUsername(this.redisProperties.getUsername());
        clusterConfiguration.setPassword(this.redisProperties.getPassword());
        return clusterConfiguration;
    }

    public LettuceConnectionFactory clusterConnectionFactory() {
        LettuceConnectionFactory lettuceConnectionFactory = new LettuceConnectionFactory(this.clusterConfiguration(), this.clusterClientConfiguration());
        lettuceConnectionFactory.afterPropertiesSet();
        return lettuceConnectionFactory;
    }

    public LettuceClientConfiguration sentinelClientConfiguration() {
        LettucePoolingClientConfiguration.LettucePoolingClientConfigurationBuilder builder = LettucePoolingClientConfiguration.builder();
        builder.poolConfig(this.genericObjectPoolConfig());
        ClusterClientOptions clusterClientOptions = ClusterClientOptions.builder().build();
        builder.clientOptions(clusterClientOptions);
        LettuceClientConfiguration lettuceClientConfiguration = builder.build();
        return lettuceClientConfiguration;
    }

    public RedisSentinelConfiguration redisSentinelConfiguration() {
        Set<String> nodes = new HashSet(this.redisProperties.getSentinel().getNodes());
        RedisSentinelConfiguration sentinelConfig = new RedisSentinelConfiguration(this.redisProperties.getSentinel().getMaster(), nodes);
        sentinelConfig.setSentinelPassword(this.redisProperties.getSentinel().getPassword());
        sentinelConfig.setUsername(this.redisProperties.getUsername());
        sentinelConfig.setPassword(this.redisProperties.getPassword());
        sentinelConfig.setDatabase(this.redisProperties.getDatabase());
        return sentinelConfig;
    }

    public LettuceConnectionFactory sentinelConnectionFactory() {
        LettuceConnectionFactory factory = new LettuceConnectionFactory(this.redisSentinelConfiguration(), this.sentinelClientConfiguration());
        factory.afterPropertiesSet();
        return factory;
    }

    public RedisStandaloneConfiguration redisStandaloneConfiguration() {
        RedisStandaloneConfiguration standaloneConfiguration = new RedisStandaloneConfiguration(this.redisProperties.getHost(), this.redisProperties.getPort());
        standaloneConfiguration.setUsername(this.redisProperties.getUsername());
        standaloneConfiguration.setPassword(this.redisProperties.getPassword());
        if (this.redisProperties.getDatabase() >= 0) {
            standaloneConfiguration.setDatabase(this.redisProperties.getDatabase());
        }

        return standaloneConfiguration;
    }

    public LettuceConnectionFactory standaloneConnectionFactory() {
        LettuceConnectionFactory factory = new LettuceConnectionFactory(this.redisStandaloneConfiguration(), this.sentinelClientConfiguration());
        factory.afterPropertiesSet();
        return factory;
    }

    protected RedisTemplate<String, Object> getRedisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<String, Object> template = new RedisTemplate();
        template.setConnectionFactory(factory);
        Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, Visibility.ANY);
        om.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, DefaultTyping.NON_FINAL, As.PROPERTY);
        jackson2JsonRedisSerializer.setObjectMapper(om);
        StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
        template.setKeySerializer(stringRedisSerializer);
        template.setValueSerializer(jackson2JsonRedisSerializer);
        template.setHashKeySerializer(stringRedisSerializer);
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        template.afterPropertiesSet();
        return template;
    }

    @Bean(
            name = {"clusterRedisUtil"}
    )
    @ConditionalOnProperty(
            prefix = "spring.redis.cluster",
            name = {"active"},
            havingValue = "true"
    )
    public RedisUtil redisUtil() {
        return new RedisUtil(this.getRedisTemplate(this.clusterConnectionFactory()));
    }

    @Bean(
            name = {"sentinelRedisUtil"}
    )
    @ConditionalOnProperty(
            prefix = "spring.redis.sentinel",
            name = {"master"}
    )
    public RedisUtil sentinelRedisUtil() {
        return new RedisUtil(this.getRedisTemplate(this.sentinelConnectionFactory()));
    }

    @Bean(
            name = {"standaloneRedisUtil"}
    )
    @ConditionalOnProperty(
            prefix = "spring.redis",
            name = {"host"}
    )
    public RedisUtil standaloneRedisUtil() {
        return new RedisUtil(this.getRedisTemplate(this.standaloneConnectionFactory()));
    }
}
java 复制代码 
package com.performance.optimization.constant;

public class MQConstants {


    public static final String DEAD_LETTER_EXCHANGE = "DEAD_LETTER_EXCHANGE";

    public static final String DEAD_LETTER_ACCOUNT_QUEUE_ROUTING_KEY = "DEAD_LETTER_ACCOUNT_QUEUE_ROUTING_KEY";

    public static final String ACCOUNT_RESULT_EXCHANGE = "ACCOUNT_RESULT_EXCHANGE";

    public static final String ACCOUNT_QUEUE_ROUTING_RESULT_KEY = "ACCOUNT_QUEUE_ROUTING_RESULT_KEY";

    public static final String ACCOUNT_RESULT_QUEUE = "ACCOUNT_RESULT_QUEUE";

}

2.3 监听exampleServiceAPI过来的数据

这里我要讲一下@RabbitListener这个注解中的queuesToDeclare属性，如果没有队列，服务启动后会自动创建队列，就算你手动删除，也会立即自动创建，不用手动创建队列。程序创建队列有两个场景，一个是@RabbitListener这个注解，服务启动的时候，如果没有队列，这个注解会自动创建队列，如果已有队列，则不会创建；另一个是QueueBuilder.durable()方法也会自动创建列队，如果队列已存在，也不会创建。

现在会有一个问题要注意：serviceA服务监听accountQueue队列和exampleServiceAPI服务有QueueBuilder.durable("accountQueue").withArguments(args).build()代码创建队列，两边创建时队属性要完全一样，否则服务启动时就会报错了。

也就是说假如serviceA服务是这样写的：

java 复制代码 
    @Bean("accountQueue")
    public Queue accountQueue() {
        Map<String, Object> args = new HashMap<>(2);
        return QueueBuilder.durable(ACCOUNT_RESULT_QUEUE).withArguments(args).build();
    }

exampleServiceAPI这样写：

java 复制代码 
    @Bean("accountQueue")
    public Queue accountQueue() {
        Map<String, Object> args = new HashMap<>(2);
        args.put("x-dead-letter-exchange", DEAD_LETTER_EXCHANGE);
        args.put("x-dead-letter-routing-key", DEAD_LETTER_ACCOUNT_QUEUE_ROUTING_KEY);
        return QueueBuilder.durable("accountQueue").withArguments(args).build();
    }

serviceA服务启动后，发现没有accountQueue这个队列，会自动创建，然后到exampleServiceAPI启动了，发现有这个队列，但属性不一样，就会报错了

java 复制代码 
channel error; protocol method: #method<channel.close>(reply-code=406, reply-text=PRECONDITION_FAILED - inequivalent arg 'x-dead-letter-exchange' for queue 'accountQueue' in vhost '/': received the value 'DEAD_LETTER_EXCHANGE' of type 'longstr' but current is none, class-id=50, method-id=10)
java 复制代码 
package com.performance.optimization.consumer;

import com.alibaba.nacos.shaded.com.google.gson.Gson;
import com.performance.optimization.dto.AccountDto;
import com.performance.optimization.dto.AccountResponseDto;
import com.performance.optimization.producer.AccountTaskProducer;
import com.performance.optimization.service.AccountService;
import com.performance.optimization.service.DBService;
import com.performance.optimization.utils.RedisUtil;
import com.rabbitmq.client.Channel;
import lombok.extern.slf4j.Slf4j;
import org.springframework.amqp.core.Message;
import org.springframework.amqp.rabbit.annotation.Argument;
import org.springframework.amqp.rabbit.annotation.Queue;
import org.springframework.amqp.rabbit.annotation.RabbitListener;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;

import javax.annotation.Resource;
import java.io.IOException;
import java.nio.charset.StandardCharsets;

import static com.performance.optimization.constant.MQConstants.DEAD_LETTER_ACCOUNT_QUEUE_ROUTING_KEY;
import static com.performance.optimization.constant.MQConstants.DEAD_LETTER_EXCHANGE;


@Component
@Slf4j
public class AccountTaskConsumer {

    @Resource
    private RedisUtil redisUtil;

    /**
     * 模拟数据库由于高并发连接不够
     */
    @Autowired
    private DBService dbService;

    @Autowired
    private AccountService accountService;

    @Autowired
    AccountTaskProducer accountTaskProducer;

    /**
     * 监听exampleServiceAPI过来的数据
     * @param message
     * @param channel
     * @throws IOException
     */
    @RabbitListener(queuesToDeclare =@Queue(value ="accountQueue",arguments = {
            @Argument(name = "x-dead-letter-exchange", value = DEAD_LETTER_EXCHANGE),
            @Argument(name = "x-dead-letter-routing-key", value = DEAD_LETTER_ACCOUNT_QUEUE_ROUTING_KEY)
    }) ,containerFactory = "accountMsgListenerFactory")
    public void handleAccountTaskCreateOrUpdate(Channel channel, Message message) throws IOException {
        log.info("-------------------account消费开始-----------------------------");
        boolean ack = true;
        Exception exception = null;
        Gson gson = new Gson();
        try {
            //获得消息内容
            String accountDtoParam = new String(message.getBody(), StandardCharsets.UTF_8);
            log.info("MQ消息中accountDtoParam:{}", accountDtoParam);
            AccountDto accountDto = gson.fromJson(accountDtoParam, AccountDto.class);
            boolean flag = accountService.saveAccount(accountDto);
            String accountData = dbService.useDb("select * from account");
            log.info("consumeraccountData:{}",accountData);
            if(flag){
                AccountResponseDto accountResponseDto = new AccountResponseDto();
                accountResponseDto.setCode(0);
                accountResponseDto.setMessage("成功");
                //把处理结果发送出去,发到exampleServiceAPI
                accountTaskProducer.workbenchResultSend(gson.toJson(accountResponseDto));
            }else{
                AccountResponseDto accountResponseDto = new AccountResponseDto();
                accountResponseDto.setCode(1);
                accountResponseDto.setMessage("失败");
                //把处理结果发送出去,发到exampleServiceAPI
                accountTaskProducer.workbenchResultSend(gson.toJson(accountResponseDto));
            }
        } catch (Exception e) {
            ack = false;
            exception = e;
            AccountResponseDto accountResponseDto = new AccountResponseDto();
            accountResponseDto.setCode(2);
            accountResponseDto.setMessage("失败");
            //把处理结果发送出去,发到exampleServiceAPI
            accountTaskProducer.workbenchResultSend(gson.toJson(accountResponseDto));
        }
        checkAck(ack, message, channel, exception);
        log.info("---------------------account消费结束-----------------------------");
    }

    public void checkAck(Boolean ack, Message message, Channel channel, Exception exception) throws IOException {
        String msgId = "";
        if (!ack) {
            log.error("消费消息发生异常， error msg:{}", exception.getMessage(), exception);
            msgId = message.getMessageProperties().getMessageId();
            Integer retryCount = 0;
            if (msgId != null && redisUtil.exists(msgId)) {
                retryCount = (Integer) redisUtil.get(msgId);
                //messageId为空，直接放到死信队列
            } else {
                retryCount = 2;
            }
            //小于最大重试次数，重新消费
            if (retryCount < 2) {
                channel.basicNack(message.getMessageProperties().getDeliveryTag(), false, true);
                redisUtil.set(msgId, retryCount + 1);
            } else { //大于最大重试次数，放到死信队列
                channel.basicNack(message.getMessageProperties().getDeliveryTag(), false, false);
            }
        } else { //确认消费成功
            channel.basicAck(message.getMessageProperties().getDeliveryTag(), false);
            redisUtil.del(msgId);
        }
    }
}

2.4数据库连接改造

由于要模拟高并发下数据库连接不够，我们使用我们自己写的连接，把连接数量减少，就可以模拟出线上环境数据库连接不够的问题。

java 复制代码 
package com.performance.optimization.db;

import org.springframework.stereotype.Component;

import java.sql.Connection;
import java.util.LinkedList;

/**
 * 类说明：数据库连接池简单实现，线程安全，限定了连接池为2个大小
 */
@Component
public class DBPool {

	//数据库池的容器
	private static LinkedList<Connection> pool = new LinkedList<>();
	//线程安全，限定了连接池为2个大小
	private final static int CONNECT_CONUT = 2;
	static{
		for(int i=0;i<CONNECT_CONUT;i++) {
			pool.addLast(SqlConnectImpl.fetchConnection());
		}
	}

	//在mills时间内还拿不到数据库连接，返回一个null
	public Connection fetchConn(long mills) throws InterruptedException {
		synchronized (pool) {
			if (mills<0) {
				while(pool.isEmpty()) {
					pool.wait();
				}
				return pool.removeFirst();
			}else {
				long overtime = System.currentTimeMillis()+mills;
				long remain = mills;
				while(pool.isEmpty()&&remain>0) {
					pool.wait(remain);
					remain = overtime - System.currentTimeMillis();
				}
				Connection result  = null;
				if(!pool.isEmpty()) {
					result = pool.removeFirst();
				}
				return result;
			}
		}
	}

	//放回数据库连接
	public void releaseConn(Connection conn) {
		if(conn!=null) {
			synchronized (pool) {
				pool.addLast(conn);
				pool.notifyAll();
			}
		}
	}


}
java 复制代码 
package com.performance.optimization.db;

import java.util.concurrent.TimeUnit;

/**
 * 类说明：模拟数据库服务
 */
public class SleepTools {

	/**
	 * 按秒休眠
	 * @param seconds 秒数
	 */
    public static final void second(int seconds) {
        try {
            TimeUnit.SECONDS.sleep(seconds);
        } catch (InterruptedException e) {
        }
    }

    /**
     * 按毫秒数休眠
     * @param seconds 毫秒数
     */
    public static final void ms(int seconds) {
        try {
            TimeUnit.MILLISECONDS.sleep(seconds);
        } catch (InterruptedException e) {
        }
    }
}
java 复制代码 
package com.performance.optimization.db;

import java.sql.*;
import java.util.Map;
import java.util.Properties;
import java.util.concurrent.Executor;

/**
 * 类说明：数据库连接的实现
 */
public class SqlConnectImpl implements Connection{

	/*拿一个数据库连接*/
    public static final Connection fetchConnection(){
        return new SqlConnectImpl();
    }
	

	@Override
	public void commit() throws SQLException {
		SleepTools.ms(70);
	}
    // 其他未实现，省略，直接用idea 工具生成就行
	

}

2.5 生产者

java 复制代码 
package com.performance.optimization.producer;

import lombok.extern.slf4j.Slf4j;
import org.springframework.amqp.rabbit.core.RabbitTemplate;
import org.springframework.stereotype.Component;

import javax.annotation.Resource;

import static com.performance.optimization.constant.MQConstants.ACCOUNT_RESULT_QUEUE;


/**
 *  生产者
 */
@Component
@Slf4j
public class AccountTaskProducer {

    @Resource
    private RabbitTemplate rabbitTemplate;

    /**
     * 把消费结果发送回exampleServiceAPI
     */
    public void  workbenchResultSend(String accountDtoParam) {
        log.info("serviceA处理后返回1={}" ,accountDtoParam);
        rabbitTemplate.convertAndSend(ACCOUNT_RESULT_QUEUE, accountDtoParam);
    }
    /**
     * 把消费结果发送回 exampleServiceAPI
     */
    public void  workbenchResultSend(boolean flag) {
        log.info("serviceA处理后返回2={}" ,flag);
        rabbitTemplate.convertAndSend(ACCOUNT_RESULT_QUEUE, flag);
    }
}

2.6 配置 application.yml 的pom.xml

java 复制代码 
server:
  port: 8082
spring:
  application:
    name: serviceA
  cloud:
    nacos:
      config:
        server-addr: ${NACOS_SERVER:127.0.0.1:8848}
      #服务发现
      discovery:
        server-addr: ${NACOS_SERVER:127.0.0.1:8848}
      username: nacos
      password: nacos
  redis:
    host: localhost
    port: 6379
    password:
    database: 0
    timeout: 5000ms
    lettuce:
      pool:
        max-active: 8
        max-wait: 1000ms
        max-idle: 8
        min-idle: 0
  datasource:
    url: jdbc:mysql://localhost:3306/hdg?useUnicode=true&characterEncoding=utf8&serverTimezone=UTC
    username: root
    password: root
    driver-class-name: com.mysql.cj.jdbc.Driver
    hikari:
      maximum-pool-size: 1
      minimum-idle: 1




mybatis-plus:
  configuration:
    log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
  mapper-locations: classpath:mapper/*.xml
  type-aliases-package: com.performance.optimization.domain



#mq连接配置
hdg.rabbitmq:
  my-rabbit:
    address: 127.0.0.1:5672
    username: guest
    password: guest
    virtual-host: /
XML 复制代码 
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.7.14</version>
        <relativePath/>
    </parent>


    <groupId>com.performance.optimization</groupId>
    <artifactId>serviceA</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>serviceA</name>
    <description>serviceA</description>


    <properties>
        <java.version>1.8</java.version>
        <spring.cloud.version>2021.0.5</spring.cloud.version>
        <spring.cloud.alibaba.version>2021.0.5.0</spring.cloud.alibaba.version>
        <spring.boot.version>2.7.14</spring.boot.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>com.mysql</groupId>
            <artifactId>mysql-connector-j</artifactId>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <!--fastjson -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.83</version>
        </dependency>
        <!--mybatis -->
        <dependency>
            <groupId>com.baomidou</groupId>
            <artifactId>mybatis-plus-boot-starter</artifactId>
            <version>3.4.3.2</version>
        </dependency>
        <!-- hutool-->
        <dependency>
            <groupId>cn.hutool</groupId>
            <artifactId>hutool-all</artifactId>
            <version>5.8.1</version>
        </dependency>
        <!--rabbitmq-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-amqp</artifactId>
        </dependency>
        <!--        redis相关-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        <!-- 添加redis应用池依赖 -->
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-pool2</artifactId>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-starter-bootstrap</artifactId>
        </dependency>
        <!-- nacos注册中心依赖  -->
        <dependency>
            <groupId>com.alibaba.cloud</groupId>
            <artifactId>spring-cloud-starter-alibaba-nacos-discovery</artifactId>
        </dependency>
        <!-- nacos配置中心依赖 -->
        <dependency>
            <groupId>com.alibaba.cloud</groupId>
            <artifactId>spring-cloud-starter-alibaba-nacos-config</artifactId>
        </dependency>
        <!-- 日志 -->
        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-classic</artifactId>
        </dependency>
        <!--日志以json格式输出所需-->
        <dependency>
            <groupId>net.logstash.logback</groupId>
            <artifactId>logstash-logback-encoder</artifactId>
            <version>6.6</version>
        </dependency>
    </dependencies>
    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.springframework.cloud</groupId>
                <artifactId>spring-cloud-dependencies</artifactId>
                <version>${spring.cloud.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
            <dependency>
                <groupId>com.alibaba.cloud</groupId>
                <artifactId>spring-cloud-alibaba-dependencies</artifactId>
                <version>${spring.cloud.alibaba.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-dependencies</artifactId>
                <version>${spring.boot.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
        </dependencies>
    </dependencyManagement>
    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <configuration>
                    <excludes>
                        <exclude>
                            <groupId>org.projectlombok</groupId>
                            <artifactId>lombok</artifactId>
                        </exclude>
                    </excludes>
                </configuration>
            </plugin>
        </plugins>
    </build>

</project>

至此serviceA搭建好了。

3.搭建exampleServiceAPI服务

3.1 接入kafka

java 复制代码 
package com.example.service.api.config;

import cn.hutool.core.collection.CollUtil;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.boot.autoconfigure.kafka.KafkaProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
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;


@Configuration
public class KafkaProducerConfig {

    @Bean
    public ProducerFactory<String, String> producerFactory(KafkaProperties kafkaProperties) {
        Map<String, Object> configProps = new HashMap<>();
        configProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG,CollUtil.getFirst(kafkaProperties.getBootstrapServers()));
        configProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        configProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        return new DefaultKafkaProducerFactory<>(configProps);
    }

    @Bean
    public KafkaTemplate<String, String> kafkaTemplate(ProducerFactory<String,String> producerFactory) {
        return new KafkaTemplate<>(producerFactory);
    }
}

3.2 接入RabbitMQ

java 复制代码 
package com.example.service.api.config;

import lombok.extern.slf4j.Slf4j;
import org.springframework.amqp.core.*;
import org.springframework.amqp.rabbit.config.SimpleRabbitListenerContainerFactory;
import org.springframework.amqp.rabbit.connection.CachingConnectionFactory;
import org.springframework.amqp.rabbit.connection.ConnectionFactory;
import org.springframework.amqp.rabbit.core.RabbitTemplate;
import org.springframework.amqp.support.converter.MessageConversionException;
import org.springframework.amqp.support.converter.MessageConverter;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.amqp.SimpleRabbitListenerContainerFactoryConfigurer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

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

import static com.example.service.api.constant.MQConstants.*;


@Slf4j
@Configuration
public class RabbitMQConfig {

    /* *
     *创建连接工厂
    */
    @Bean(name = "accountMsgConnectionFactory")
    public ConnectionFactory accountMsgConnectionFactory(@Value("${hdg.rabbitmq.my-rabbit.address}") String address,
                                                         @Value("${hdg.rabbitmq.my-rabbit.username}") String username,
                                                         @Value("${hdg.rabbitmq.my-rabbit.password}") String password,
                                                         @Value("${hdg.rabbitmq.my-rabbit.virtual-host}") String vHost) {
        CachingConnectionFactory connectionFactory = new CachingConnectionFactory();
        connectionFactory.setAddresses(address);
        connectionFactory.setUsername(username);
        connectionFactory.setPassword(password);
        connectionFactory.setVirtualHost(vHost);
        //设置发送方确认
        connectionFactory.setPublisherConfirmType(CachingConnectionFactory.ConfirmType.CORRELATED);

        return connectionFactory;
    }

    /**
     * 生产者
     */
    @Bean(name = "accountMsgRabbitTemplate")
    public RabbitTemplate accountMsgRabbitTemplate(@Qualifier("accountMsgConnectionFactory") ConnectionFactory connectionFactory) {
        RabbitTemplate template = new RabbitTemplate();
        template.setConnectionFactory(connectionFactory);
        //设置messageId
        template.setMessageConverter(new MessageConverter() {
            @Override
            public Message toMessage(Object o, MessageProperties messageProperties) throws MessageConversionException {
                //设置UUID作为消息唯一标识
                String uuid = UUID.randomUUID().toString();
                messageProperties.setMessageId(uuid);
                return new Message(o.toString().getBytes(),messageProperties);
            }
            @Override
            public Object fromMessage(Message message) throws MessageConversionException {
                return message;
            }
        });
        template.setConfirmCallback((correlationData, ack, cause) -> {
                    if (!ack) {
                        log.error("[confirm][发送消息到exchange失败 correlationData: {} cause: {}]", correlationData, cause);
                    }
                }
        );
        return template;
    }

    /**
     * 消费者
     */
    @Bean(name = "accountMsgListenerFactory")
    public SimpleRabbitListenerContainerFactory firstListenerFactory(
            SimpleRabbitListenerContainerFactoryConfigurer configurer,
            @Qualifier("accountMsgConnectionFactory") ConnectionFactory connectionFactory) {
        SimpleRabbitListenerContainerFactory listenerContainerFactory = new SimpleRabbitListenerContainerFactory();
        //设置手动ack
        listenerContainerFactory.setAcknowledgeMode(AcknowledgeMode.MANUAL);
        configurer.configure(listenerContainerFactory, connectionFactory);
        return listenerContainerFactory;
    }

    @Bean("accountExchange")
    public DirectExchange accountExchange() {
        return new DirectExchange(ACCOUNT_EXCHANGE);
    }

    @Bean
    public Binding bindingOpenapi(@Qualifier("accountQueue") Queue queue, @Qualifier("accountExchange") DirectExchange directExchange) {
        return BindingBuilder.bind(queue).to(directExchange).with(ACCOUNT_QUEUE_ROUTING_KEY);
    }

    @Bean("accountQueue")
    public Queue accountQueue() {
        Map<String, Object> args = new HashMap<>(2);
        args.put("x-dead-letter-exchange", DEAD_LETTER_EXCHANGE);
        args.put("x-dead-letter-routing-key", DEAD_LETTER_ACCOUNT_QUEUE_ROUTING_KEY);
        return QueueBuilder.durable("accountQueue").withArguments(args).build();
    }
}
java 复制代码 
package com.example.service.api.constant;

public class MQConstants {


    public static final String DEAD_LETTER_EXCHANGE = "DEAD_LETTER_EXCHANGE";

    public static final String DEAD_LETTER_ACCOUNT_QUEUE_ROUTING_KEY = "DEAD_LETTER_ACCOUNT_QUEUE_ROUTING_KEY";

    public static final String ACCOUNT_EXCHANGE = "ACCOUNT_EXCHANGE";

    public static final String ACCOUNT_QUEUE_ROUTING_KEY = "ACCOUNT_QUEUE_ROUTING_KEY";

    public static final String ACCOUNT_RESULT_QUEUE = "ACCOUNT_RESULT_QUEUE";

}

3.3 接入redis

java 复制代码 
package com.example.service.api.config;

import com.example.service.api.utils.RedisUtil;
import com.fasterxml.jackson.annotation.JsonAutoDetect.Visibility;
import com.fasterxml.jackson.annotation.JsonTypeInfo.As;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.ObjectMapper.DefaultTyping;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import io.lettuce.core.cluster.ClusterClientOptions;
import io.lettuce.core.cluster.ClusterTopologyRefreshOptions;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisClusterConfiguration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.RedisSentinelConfiguration;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceClientConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

import java.util.HashSet;
import java.util.Set;

@Configuration
@EnableConfigurationProperties({RedisProperties.class})
public class RedisAutoConfig {

    @Autowired
    private RedisProperties redisProperties;

    public RedisAutoConfig() {
    }

    public GenericObjectPoolConfig genericObjectPoolConfig() {
        GenericObjectPoolConfig config = new GenericObjectPoolConfig();
        config.setMinIdle(this.redisProperties.getLettuce().getPool().getMinIdle());
        config.setMinIdle(this.redisProperties.getLettuce().getPool().getMaxIdle());
        config.setMaxTotal(this.redisProperties.getLettuce().getPool().getMaxActive());
        return config;
    }

    public LettuceClientConfiguration clusterClientConfiguration() {
        ClusterTopologyRefreshOptions clusterTopologyRefreshOptions = ClusterTopologyRefreshOptions.builder().enableAllAdaptiveRefreshTriggers().enablePeriodicRefresh().build();
        ClusterClientOptions clusterClientOptions = ClusterClientOptions.builder().topologyRefreshOptions(clusterTopologyRefreshOptions).build();
        LettuceClientConfiguration lettuceClientConfiguration = LettucePoolingClientConfiguration.builder().poolConfig(this.genericObjectPoolConfig()).clientOptions(clusterClientOptions).build();
        return lettuceClientConfiguration;
    }

    public RedisClusterConfiguration clusterConfiguration() {
        RedisClusterConfiguration clusterConfiguration = new RedisClusterConfiguration(this.redisProperties.getCluster().getNodes());
        clusterConfiguration.setMaxRedirects(this.redisProperties.getCluster().getMaxRedirects());
        clusterConfiguration.setUsername(this.redisProperties.getUsername());
        clusterConfiguration.setPassword(this.redisProperties.getPassword());
        return clusterConfiguration;
    }

    public LettuceConnectionFactory clusterConnectionFactory() {
        LettuceConnectionFactory lettuceConnectionFactory = new LettuceConnectionFactory(this.clusterConfiguration(), this.clusterClientConfiguration());
        lettuceConnectionFactory.afterPropertiesSet();
        return lettuceConnectionFactory;
    }

    public LettuceClientConfiguration sentinelClientConfiguration() {
        LettucePoolingClientConfiguration.LettucePoolingClientConfigurationBuilder builder = LettucePoolingClientConfiguration.builder();
        builder.poolConfig(this.genericObjectPoolConfig());
        ClusterClientOptions clusterClientOptions = ClusterClientOptions.builder().build();
        builder.clientOptions(clusterClientOptions);
        LettuceClientConfiguration lettuceClientConfiguration = builder.build();
        return lettuceClientConfiguration;
    }

    public RedisSentinelConfiguration redisSentinelConfiguration() {
        Set<String> nodes = new HashSet(this.redisProperties.getSentinel().getNodes());
        RedisSentinelConfiguration sentinelConfig = new RedisSentinelConfiguration(this.redisProperties.getSentinel().getMaster(), nodes);
        sentinelConfig.setSentinelPassword(this.redisProperties.getSentinel().getPassword());
        sentinelConfig.setUsername(this.redisProperties.getUsername());
        sentinelConfig.setPassword(this.redisProperties.getPassword());
        sentinelConfig.setDatabase(this.redisProperties.getDatabase());
        return sentinelConfig;
    }

    public LettuceConnectionFactory sentinelConnectionFactory() {
        LettuceConnectionFactory factory = new LettuceConnectionFactory(this.redisSentinelConfiguration(), this.sentinelClientConfiguration());
        factory.afterPropertiesSet();
        return factory;
    }

    public RedisStandaloneConfiguration redisStandaloneConfiguration() {
        RedisStandaloneConfiguration standaloneConfiguration = new RedisStandaloneConfiguration(this.redisProperties.getHost(), this.redisProperties.getPort());
        standaloneConfiguration.setUsername(this.redisProperties.getUsername());
        standaloneConfiguration.setPassword(this.redisProperties.getPassword());
        if (this.redisProperties.getDatabase() >= 0) {
            standaloneConfiguration.setDatabase(this.redisProperties.getDatabase());
        }

        return standaloneConfiguration;
    }

    public LettuceConnectionFactory standaloneConnectionFactory() {
        LettuceConnectionFactory factory = new LettuceConnectionFactory(this.redisStandaloneConfiguration(), this.sentinelClientConfiguration());
        factory.afterPropertiesSet();
        return factory;
    }

    protected RedisTemplate<String, Object> getRedisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<String, Object> template = new RedisTemplate();
        template.setConnectionFactory(factory);
        Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, Visibility.ANY);
        om.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, DefaultTyping.NON_FINAL, As.PROPERTY);
        jackson2JsonRedisSerializer.setObjectMapper(om);
        StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
        template.setKeySerializer(stringRedisSerializer);
        template.setValueSerializer(jackson2JsonRedisSerializer);
        template.setHashKeySerializer(stringRedisSerializer);
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        template.afterPropertiesSet();
        return template;
    }

    @Bean(
            name = {"clusterRedisUtil"}
    )
    @ConditionalOnProperty(
            prefix = "spring.redis.cluster",
            name = {"active"},
            havingValue = "true"
    )
    public RedisUtil redisUtil() {
        return new RedisUtil(this.getRedisTemplate(this.clusterConnectionFactory()));
    }

    @Bean(
            name = {"sentinelRedisUtil"}
    )
    @ConditionalOnProperty(
            prefix = "spring.redis.sentinel",
            name = {"master"}
    )
    public RedisUtil sentinelRedisUtil() {
        return new RedisUtil(this.getRedisTemplate(this.sentinelConnectionFactory()));
    }

    @Bean(
            name = {"standaloneRedisUtil"}
    )
    @ConditionalOnProperty(
            prefix = "spring.redis",
            name = {"host"}
    )
    public RedisUtil standaloneRedisUtil() {
        return new RedisUtil(this.getRedisTemplate(this.standaloneConnectionFactory()));
    }
}

3.4 监听serviceA发过来的消息

java 复制代码 
package com.example.service.api.consumer;


import com.example.service.api.producer.Producer;
import com.example.service.api.utils.RedisUtil;
import com.rabbitmq.client.Channel;
import lombok.extern.slf4j.Slf4j;
import org.springframework.amqp.core.Message;
import org.springframework.amqp.rabbit.annotation.Argument;
import org.springframework.amqp.rabbit.annotation.Queue;
import org.springframework.amqp.rabbit.annotation.RabbitListener;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;

import javax.annotation.Resource;
import java.io.IOException;
import java.nio.charset.StandardCharsets;

import static com.example.service.api.constant.MQConstants.*;


@Component
@Slf4j
public class AccountTaskConsumer {

    @Resource
    private RedisUtil redisUtil;

    @Resource
    private Producer producer;

    /**
     *   监听serviceA发过来的消息，把消息然后发到kafka
     */
   @RabbitListener(queuesToDeclare =@Queue(value =ACCOUNT_RESULT_QUEUE, arguments = {
           @Argument(name = "x-dead-letter-exchange", value = DEAD_LETTER_EXCHANGE),
           @Argument(name = "x-dead-letter-routing-key", value = DEAD_LETTER_ACCOUNT_QUEUE_ROUTING_KEY)
   }) ,containerFactory = "accountMsgListenerFactory")
   public void handleWorkbenchOpenapiMessage(Channel channel, Message message) throws Exception {
        log.info("-------------------account消费开始-----------------------------");
        boolean ack = true;
        Exception exception = null;
        try {
            //获得消息内容
            String msgStr = new String(message.getBody(), StandardCharsets.UTF_8);
            log.info("接收serviceA发过来的消息：{}", msgStr);
            //发到kafka
            producer.sendKafkaInfo("ACCOUNT_KAFKA",msgStr);
            log.info("kafka消息发送成功");
        } catch (Exception e) {
            ack = false;
            exception = e;
        }
        checkAck(ack, message, channel, exception);
        log.info("-------------------account消费结束-----------------------------");
    }

    /***
     * 校验ack
     * @param ack
     * @param message
     * @param channel
     * @param exception
     */
    public void checkAck(Boolean ack, Message message, Channel channel, Exception exception) throws IOException {
        String msgId = "";
        if (!ack) {
            log.error("消费消息发生异常， error msg:{}", exception.getMessage(), exception);
            msgId = message.getMessageProperties().getMessageId();
            Integer retryCount = 0;
            if (msgId != null && redisUtil.exists(msgId)) {
                retryCount = (Integer) redisUtil.get(msgId);
                //messageId为空，直接放到死信队列
            } else {
                retryCount = 2;
            }
            //小于最大重试次数，重新消费
            if (retryCount < 2) {
                channel.basicNack(message.getMessageProperties().getDeliveryTag(), false, true);
                redisUtil.set(msgId, retryCount + 1);
            } else { //大于最大重试次数，放到死信队列
                channel.basicNack(message.getMessageProperties().getDeliveryTag(), false, false);
            }
        } else { //确认消费成功
            channel.basicAck(message.getMessageProperties().getDeliveryTag(), false);
            redisUtil.del(msgId);
        }
    }
}

3.5 模拟业务方收到的kafka消息

调用接口返回的数据在哪里，到底有没有功能，则写在kafka消息里。

java 复制代码 
package com.example.service.api.consumer;
import lombok.extern.slf4j.Slf4j;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Service;



@Service
@Slf4j
public class KafkaConsumerService {

    /**
     * 模拟业务方收到的消息，处理自己的业务逻辑
     */
    @KafkaListener(topics ="ACCOUNT_KAFKA", groupId = "hdgr-group", concurrency = "4")
    public void listen(String message) {
       log.info("kafka收到消息:={}" , message);
    }
}

3.6 对外业务接口

exampleServiceAPI这个服务是专门用于对外提供接口服务的，单机部署，我们定义的接口，跟优化的接口名称，入参，都是一样，不一样的地方就是接口返回值都是true。

java 复制代码 
package com.example.service.api.controller;


import com.alibaba.nacos.shaded.com.google.gson.Gson;
import com.example.service.api.dto.AccountDto;
import com.example.service.api.producer.Producer;
import lombok.extern.slf4j.Slf4j;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import javax.annotation.Resource;

@RestController
@RequestMapping("/serviceapi")
@Slf4j
public class ApiController {

    @Resource
    private Producer producer;

    /**
     * 模拟业务接口
     * @author
     */
    @PostMapping("/saveDataAcount")
    public boolean saveDataAcount(@RequestBody AccountDto accountDto){
        Gson gson = new Gson();
        String accountDtoSt = gson.toJson(accountDto);
        producer.sendRabbatimqMessage(accountDtoSt);
        return true;
    }
}

3.7 生产者

java 复制代码 
package com.example.service.api.producer;

import lombok.extern.slf4j.Slf4j;
import org.springframework.amqp.rabbit.core.RabbitTemplate;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Component;

import javax.annotation.Resource;

import static com.example.service.api.constant.MQConstants.ACCOUNT_EXCHANGE;
import static com.example.service.api.constant.MQConstants.ACCOUNT_QUEUE_ROUTING_KEY;

/***
 * @Description 生产者
 */
@Component
@Slf4j
public class Producer {

    @Resource
    private RabbitTemplate rabbitTemplate;

    @Resource
    private KafkaTemplate<String, String> kafkaTemplate;


    public void  sendRabbatimqMessage(String accountDtoSt) {
        log.info("外调直接入参={}" ,accountDtoSt);
        rabbitTemplate.convertAndSend(ACCOUNT_EXCHANGE, ACCOUNT_QUEUE_ROUTING_KEY, accountDtoSt);
    }
    /**
     * 发送 kafka 消息
     */
    public void sendKafkaInfo(String topic,String message) {
        log.info("message={}",message);
        kafkaTemplate.send(topic,message);
    }
}

3.8 application.yml和pom.xml

java 复制代码 
spring:
    application:
        name: exampleServiceAPI
    cloud:
      nacos:
        config:
          server-addr: ${NACOS_SERVER:127.0.0.1:8848}
        #服务发现
        discovery:
          server-addr: ${NACOS_SERVER:127.0.0.1:8848}
        username: nacos
        password: nacos
    kafka:
      bootstrap-servers: localhost:9092
      producer:
        key-serializer: org.apache.kafka.common.serialization.StringSerializer
        value-serializer: org.apache.kafka.common.serialization.StringSerializer
        retries: 1
        acks: 1
        batch-size: 65535
        properties:
          linger:
            ms: 0
        buffer-memory: 33554432
      consumer:
        key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
        value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
        enable-auto-commit: false
        auto-commit-interval: 1000ms
        auto-offset-reset: latest
        properties:
          session:
            timeout:
              ms: 120000
          request:
            timeout:
              ms: 180000
        max-poll-records: 50
      listener:
        missing-topics-fatal: false
        # 手动
        ack-mode: manual_immediate
        #设置是否批量消费，默认 single（单条），batch（批量）
        type: batch
        # 自动提交 offset 默认 true
        enable-auto-commit: false
        # 批量消费最大数量
        max-poll-records: 50
    redis:
      host: localhost
      port: 6379
      password:
      database: 0
      timeout: 5000ms
      lettuce:
        pool:
          max-active: 8
          max-wait: 1000ms
          max-idle: 8
          min-idle: 0
server:
    port: 8081

#mq连接配置
hdg.rabbitmq:
    my-rabbit:
        address: 127.0.0.1:5672
        username: guest
        password: guest
        virtual-host: /

logging:
  level:
    org.apache.kafka: ERROR
XML 复制代码 
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.7.14</version>
        <relativePath/>
    </parent>

    <groupId>com.example.service.api</groupId>
    <artifactId>exampleServiceAPI</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>exampleServiceAPI</name>
    <description>exampleServiceAPI</description>

    <properties>
        <java.version>1.8</java.version>
        <spring.cloud.version>2021.0.5</spring.cloud.version>
        <spring.cloud.alibaba.version>2021.0.5.0</spring.cloud.alibaba.version>
        <spring.boot.version>2.7.14</spring.boot.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <!--fastjson -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.83</version>
        </dependency>
        <!-- hutool-->
        <dependency>
            <groupId>cn.hutool</groupId>
            <artifactId>hutool-all</artifactId>
            <version>5.8.1</version>
        </dependency>
        <!--rabbitmq-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-amqp</artifactId>
        </dependency>
        <!-- 日志 -->
        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-classic</artifactId>
        </dependency>
        <!--日志以json格式输出所需-->
        <dependency>
            <groupId>net.logstash.logback</groupId>
            <artifactId>logstash-logback-encoder</artifactId>
            <version>6.6</version>
        </dependency>
        <!-- kafka -->
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka-test</artifactId>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>3.4.0</version>
        </dependency>
        <!--        redis相关-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        <!-- 添加redis应用池依赖 -->
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-pool2</artifactId>
            <scope>provided</scope>
        </dependency>
        <!--spring-cloud-->
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-starter-bootstrap</artifactId>
        </dependency>
        <!-- nacos注册中心依赖  -->
        <dependency>
            <groupId>com.alibaba.cloud</groupId>
            <artifactId>spring-cloud-starter-alibaba-nacos-discovery</artifactId>
        </dependency>
        <!-- nacos配置中心依赖 -->
        <dependency>
            <groupId>com.alibaba.cloud</groupId>
            <artifactId>spring-cloud-starter-alibaba-nacos-config</artifactId>
        </dependency>
    </dependencies>
    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.springframework.cloud</groupId>
                <artifactId>spring-cloud-dependencies</artifactId>
                <version>${spring.cloud.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
            <dependency>
                <groupId>com.alibaba.cloud</groupId>
                <artifactId>spring-cloud-alibaba-dependencies</artifactId>
                <version>${spring.cloud.alibaba.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-dependencies</artifactId>
                <version>${spring.boot.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
        </dependencies>
    </dependencyManagement>
    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <configuration>
                    <excludes>
                        <exclude>
                            <groupId>org.projectlombok</groupId>
                            <artifactId>lombok</artifactId>
                        </exclude>
                    </excludes>
                </configuration>
            </plugin>
        </plugins>
    </build>

</project>

至此，exampleServiceAPI服务也搭好了。

4.并发测试

4.1 旧接口测试

写一个模拟高并发场景的代码调用,去调用旧的接口：

java 复制代码 
private final String url = "http://localhost:8082/optimization/saveDataAcount";
java 复制代码 
package com.example.service.api;

import com.example.service.api.dto.AccountDto;
import org.junit.jupiter.api.Test;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.http.HttpEntity;
import org.springframework.http.HttpHeaders;
import org.springframework.http.HttpMethod;
import org.springframework.http.ResponseEntity;
import org.springframework.web.client.RestTemplate;

import java.util.concurrent.CountDownLatch;

@SpringBootTest
class ExampleServiceApiApplicationTests {

    private final String url = "http://localhost:8082/optimization/saveDataAcount";

//    private final String exampleUrl = "http://localhost:8081/serviceapi/saveDataAcount";

    RestTemplate restTemplate = new RestTemplate();

    private static final int num = 1000;
    //发令枪  ，让所有请求都可以并发的去访问
    private static CountDownLatch cdl = new CountDownLatch(num);

    // 内部类继承线程接口，用于模拟高并发请求
    public class highConcurrency implements Runnable{

        @Override
        public void run() {
            try {
                cdl.await();//在起跑线等待
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            AccountDto accountDto=new AccountDto();
            accountDto.setOprid("53");
            accountDto.setAge(0);
            accountDto.setName("张三");

            // 创建 HTTP 头
            HttpHeaders headers = new HttpHeaders();
            headers.set("Content-Type", "application/json");

            // 创建 HTTP 请求实体
            HttpEntity<AccountDto> entity = new HttpEntity<>(accountDto, headers);
            //原来的接口
            ResponseEntity<String> responseEntity = restTemplate.exchange(url, HttpMethod.POST, entity, String.class);
            //优化后的接口
//            ResponseEntity<String> responseEntity = restTemplate.exchange(exampleUrl, HttpMethod.POST, entity, String.class);

            System.out.println(responseEntity.getStatusCode());
        }
    }
    @Test
    public void testHighConcurrency() throws InterruptedException {
        //模拟高并发
        for(int i = 0; i <num; i++){
            new Thread(new highConcurrency()).start();
            cdl.countDown(); //, 所有线程同时起跑（发枪员1000个人）  -》0  发枪
        }
        Thread.currentThread().sleep(3000);
    }

}

1000个并发，数据库连接就已经不够使用了，报错了

4.2 改造后的接口测试

把上面调用的地址换成改造后的接口，接口名称，入参不变，路径变了：

java 复制代码 
   private final String exampleUrl = "http://localhost:8081/serviceapi/saveDataAcount";

接口并发能力显著提升，没有报数据库连接不够的问题

因为我们把请求转到rabbitmq中作削峰填谷，相当于一个蓄水池，我们慢慢消费，就不会有问题

同时kafka也收到消息，模拟调用方收到处理后的消息：

5.搭建test-gateway网关服务

因为接口是对外服务的，为了安全，我们需要对接口进行限流保护，万一流量太大，把我们系统压跨了，会导致我们系统不可用，所以要进行限流，限流大部分场景是在网关做的，我搭了一个spring cloud gateway网关服务来进行限流。

5.1 限流配置

java 复制代码 
package com.test.gateway.testgateway.limiters;

import com.test.gateway.testgateway.properties.RequestLimiterUrlProperties;
import org.springframework.cloud.gateway.filter.ratelimit.KeyResolver;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import reactor.core.publisher.Mono;

import java.util.List;

/***
 * @Description 限流配置
 * @Author degui.huang
 * @Version 1.0
 */
@Configuration
public class LimiterConfig {
    @Bean
    @Primary
    public KeyResolver customPathKeyResolver(RequestLimiterUrlProperties requestLimiterUrlProperties) {
        return exchange -> {
            String path = exchange.getRequest().getURI().getPath();
            List<String> limitedPaths = requestLimiterUrlProperties.getList();
            if (requestLimiterUrlProperties.getEnabled() && limitedPaths.contains(path)) {
                return Mono.just("rate_limit_key");
            }
            return Mono.just(path);
        };
    }
}

5.2 实现请求的限流功能

java 复制代码 
package com.test.gateway.testgateway.limiters;


import com.test.gateway.testgateway.properties.RequestLimiterUrlProperties;
import org.springframework.cloud.gateway.filter.GatewayFilter;
import org.springframework.cloud.gateway.filter.factory.RequestRateLimiterGatewayFilterFactory;
import org.springframework.cloud.gateway.filter.ratelimit.KeyResolver;
import org.springframework.cloud.gateway.filter.ratelimit.RateLimiter;
import org.springframework.cloud.gateway.route.Route;
import org.springframework.cloud.gateway.support.ServerWebExchangeUtils;
import org.springframework.core.io.buffer.DataBuffer;
import org.springframework.http.HttpStatus;
import org.springframework.http.server.reactive.ServerHttpResponse;
import org.springframework.stereotype.Component;
import reactor.core.publisher.Mono;

import java.nio.charset.StandardCharsets;
import java.util.Map;

/***
 * @Description 限流实现
 * @Author degui.huang
 * @Version 1.0
 */
@Component
public class LimitersGatewayFilterFactory extends RequestRateLimiterGatewayFilterFactory {
    
    private final RateLimiter defaultRateLimiter;
    private final KeyResolver defaultKeyResolver;
    private final RequestLimiterUrlProperties requestLimiterUrlProperties;

    public LimitersGatewayFilterFactory(RateLimiter defaultRateLimiter, KeyResolver defaultKeyResolver, RequestLimiterUrlProperties requestLimiterUrlProperties) {
        super(defaultRateLimiter, defaultKeyResolver);
        this.defaultRateLimiter = defaultRateLimiter;
        this.defaultKeyResolver = defaultKeyResolver;
        this.requestLimiterUrlProperties = requestLimiterUrlProperties;
    }

    @Override
    public GatewayFilter apply(Config config) {
        KeyResolver resolver = getOrDefault(config.getKeyResolver(), defaultKeyResolver);
        RateLimiter<Object> limiter = getOrDefault(config.getRateLimiter(), defaultRateLimiter);
        return (exchange, chain) -> resolver.resolve(exchange).flatMap(key -> {
            String routeId = config.getRouteId();
            if (routeId == null) {
                Route route = exchange.getAttribute(ServerWebExchangeUtils.GATEWAY_ROUTE_ATTR);
                routeId = route.getId();
            }
            String path = exchange.getRequest().getURI().getPath();
            return limiter.isAllowed(routeId, key).flatMap(response -> {
                for (Map.Entry<String, String> header : response.getHeaders().entrySet()) {
                    exchange.getResponse().getHeaders().add(header.getKey(), header.getValue());
                }
                if (response.isAllowed() || !requestLimiterUrlProperties.getEnabled()) {
                    return chain.filter(exchange);
                }

                if (!requestLimiterUrlProperties.getList().contains(path)) {
                    return chain.filter(exchange);
                }

                ServerHttpResponse httpResponse = exchange.getResponse();
                //修改code为500
                httpResponse.setStatusCode(HttpStatus.TOO_MANY_REQUESTS);
                if (!httpResponse.getHeaders().containsKey("Content-Type")) {
                    httpResponse.getHeaders().add("Content-Type", "application/json");
                }
                //此处无法触发全局异常处理，手动返回
                DataBuffer buffer = httpResponse.bufferFactory().wrap(("{\n"
                        + "  \"code\": \"429\","
                        + "  \"message\": \"请求过于频繁，请稍后再试\","
                        + "  \"success\": false"
                        + "}").getBytes(StandardCharsets.UTF_8));
                return httpResponse.writeWith(Mono.just(buffer));
            });
        });
    }

    private <T> T getOrDefault(T configValue, T defaultValue) {
        return (configValue != null) ? configValue : defaultValue;
    }
}

5.3 定义限流策略中的键

java 复制代码 
package com.test.gateway.testgateway.limiters;

import org.springframework.cloud.gateway.filter.ratelimit.KeyResolver;
import org.springframework.web.server.ServerWebExchange;
import reactor.core.publisher.Mono;

/***
 * 定义限流策略中的键
 * @Author degui.huang
 * @Version 1.0
 */
public class LimitersKeyResolver implements KeyResolver {
    @Override
    public Mono<String> resolve(ServerWebExchange exchange) {
        return Mono.just(exchange.getRequest().getPath().toString());
    }
}

5.4 限流配置

java 复制代码 
package com.test.gateway.testgateway.properties;

import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.stereotype.Component;

import java.util.ArrayList;
import java.util.List;

/***
 * @Description 限流配置
 * @Author degui.huang
 * @Version 1.0
 */
@Component
@ConfigurationProperties(prefix = "limiterurl")
public class RequestLimiterUrlProperties {
    public List<String> list = new ArrayList<>();

    public boolean enabled;

    public List<String> getList() {
        return list;
    }

    public void setList(List<String> list) {
        this.list = list;
    }

    public boolean getEnabled() {
        return enabled;
    }

    public void setEnabled(boolean enabled) {
        this.enabled = enabled;
    }
}

5.5 application.yml和pom.xml

需要注意的是- Path和 - RewritePath，这两个地方开头，一定要全部小写开头，否则没有效果。

java 复制代码 
server:
    port: 8088
spring:
    application:
        name: test-gateway
    redis:
        host: localhost
        port: 6379
        password:
        database: 0
        timeout: 5000ms
        lettuce:
            pool:
                max-active: 8
                max-wait: 1000ms
                max-idle: 8
                min-idle: 0
    cloud:
        nacos:
            config:
                server-addr: ${NACOS_SERVER:127.0.0.1:8848}
            #服务发现
            discovery:
                server-addr: ${NACOS_SERVER:127.0.0.1:8848}
            username: nacos
            password: nacos
        gateway:
            routes:
                #exampleServiceAPI 对外提供接口服务
                - id: exampleServiceAPIId
                  uri: lb://exampleServiceAPI
                  #千万要注意：这个路径开头一定要全小写！！exampleapi这个必须小写！否则没有效果！
                  predicates:
                      - Path=/exampleapi/**  #路由匹配
                  filters:
                      - name: Limiters
                        args:
                            key-resolver: "#{@customPathKeyResolver}"
                            redis-rate-limiter.replenishRate: 100 # 每秒100个请求
                            redis-rate-limiter.burstCapacity: 100 # 最大并发容量100
                        #千万要注意：这个路径开头一定要全小写！！exampleapi这个必须小写！否则没有效果！
                      - RewritePath=/exampleapi/(?<segment>.*), /${segment}  #路由重写

#限流url
#把想要限流的接口放到下面列表中，就达以限流的目的
limiterurl:
    #enabled true 开启限流，false 关闭限流，这个配置可以写在nacosa 配置中，可以理解成限流的开关
    enabled: true
    list:
        - /exampleapi/serviceapi/saveDataAcount
XML 复制代码 
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.7.14</version>
        <relativePath/>
    </parent>

    <groupId>com.test.gateway</groupId>
    <artifactId>test-gateway</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>test-gateway</name>
    <description>test-gateway</description>

    <properties>
        <java.version>1.8</java.version>
        <spring.cloud.version>2021.0.5</spring.cloud.version>
        <spring.cloud.alibaba.version>2021.0.5.0</spring.cloud.alibaba.version>
        <spring.boot.version>2.7.14</spring.boot.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <!--        网关依赖-->
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-starter-gateway</artifactId>
        </dependency>
        <!--fastjson -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.83</version>
        </dependency>
        <!--  redis相关-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis-reactive</artifactId>
        </dependency>
        <!-- hutool-->
        <dependency>
            <groupId>cn.hutool</groupId>
            <artifactId>hutool-all</artifactId>
            <version>5.8.1</version>
        </dependency>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-starter-bootstrap</artifactId>
        </dependency>
        <!-- nacos注册中心依赖  -->
        <dependency>
            <groupId>com.alibaba.cloud</groupId>
            <artifactId>spring-cloud-starter-alibaba-nacos-discovery</artifactId>
        </dependency>
        <!-- nacos配置中心依赖 -->
        <dependency>
            <groupId>com.alibaba.cloud</groupId>
            <artifactId>spring-cloud-starter-alibaba-nacos-config</artifactId>
        </dependency>
        <!--        实现负载均衡-->
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-loadbalancer</artifactId>
        </dependency>
        <!-- 日志 -->
        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-classic</artifactId>
        </dependency>
        <!--日志以json格式输出所需-->
        <dependency>
            <groupId>net.logstash.logback</groupId>
            <artifactId>logstash-logback-encoder</artifactId>
            <version>6.6</version>
        </dependency>
    </dependencies>
    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.springframework.cloud</groupId>
                <artifactId>spring-cloud-dependencies</artifactId>
                <version>${spring.cloud.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
            <dependency>
                <groupId>com.alibaba.cloud</groupId>
                <artifactId>spring-cloud-alibaba-dependencies</artifactId>
                <version>${spring.cloud.alibaba.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-dependencies</artifactId>
                <version>${spring.boot.version}</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>
        </dependencies>
    </dependencyManagement>
    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <configuration>
                    <excludes>
                        <exclude>
                            <groupId>org.projectlombok</groupId>
                            <artifactId>lombok</artifactId>
                        </exclude>
                    </excludes>
                </configuration>
            </plugin>
        </plugins>
    </build>

</project>

6. JMeter 限流测试

我已经搭建好三个服务了，都成功注册到 nacos中，接下来进行限流测试。

6.1 JMeter 配置

我在网关配置是每秒100个请求，最大并发容量100，我线程数写500，1秒钟内跑完

请求路径 ：

java 复制代码 
http://localhost:8088/exampleapi/serviceapi/saveDataAcount

消息体

java 复制代码 
{
    "oprid": ${num},
    "age": 76,
    "name": "网关测试"
}

6.2 压测结果

我请求的服务是exampleServiceAPI中的saveDataAcount接口，会打印"accountDto入参"这个日志，我们只要查找这个关键字的次数，就知道有多少个请求成功打到我们exampleServiceAPI这个服务了，我们是500个线程，理论上就是最多有200个请求到达。

1秒内，只会有200个请求到达

模拟业务方也收到kakfa消息了：

超过就会被拒绝请求：

我把本次代码和相关软件全部打包上传到这了，可以免积下载:

https://download.csdn.net/download/fyihdg/90017490https://download.csdn.net/download/fyihdg/90017490windows下安装rabbitMQ可以看篇文章：

windows下安装rabbitMQ教程（实战书写）_rabbitmq安装win linux-CSDN博客文章浏览阅读1.4w次，点赞8次，收藏43次。第一步：需要下载安装erlong环境。地址是：http://www.erlang.org/downloads里面有windows和linux我本人测试环境是windows所以下载的是OTP 20.2 Windows 64-bit Binary File图示如下：下载完后，开始执行安装。很简单。默认就可以了。一直下一步到最后。（下面这个图借别人的哈哈）_rabbitmq安装win linuxhttps://blog.csdn.net/xiaopu99/article/details/79109584

windows下安装kafka 安装可以看这篇文章：

【Kafka】Windows下安装Kafka（图文记录详细步骤）_windows安装kafka-CSDN博客文章浏览阅读4.4w次，点赞141次，收藏624次。(一)、Kafka是由Apache软件基金会开发的一个开源流处理平台，由Scala和Java编写。Kafka是一种高吞吐量的分布式发布订阅消息系统，它可以处理消费者在网站中的所有动作流数据。(二)、Kafka 本质上是⼀个消息队列。与zeromq不同的是，Kafka是一个独立的框架而不是一个库。通过O(1)的磁盘数据结构提供消息的持久化，这种结构对于即使数以TB的消息存储也能够保持长时间的稳定性能。高吞吐量 ：即使是非常普通的硬件Kafka也可以支持每秒数百万的消息。_windows安装kafkahttps://blog.csdn.net/tttzzzqqq2018/article/details/132127105

如果觉得我的文章或者代码对您有帮助,可以请我喝杯咖啡

您的支持将鼓励我继续创作!谢谢！

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