SpringBoot + Redis + RabbitMQ 实现高并发限时秒杀
docker安装:
https://blog.csdn.net/Chat_FJ/article/details/125640773?spm=1001.2014.3001.5501
windows安装:
https://blog.csdn.net/m0_37034294/article/details/82839494
docker安装:
https://blog.csdn.net/Chat_FJ/article/details/125635622?spm=1001.2014.3001.5501
windows安装:
https://blog.csdn.net/qq_39135287/article/details/82686837
springboot整合redis:
https://blog.csdn.net/qq_33612228/article/details/103700543
windows安装:
https://blog.csdn.net/liuyanh2006/article/details/82494548
CREATE TABLE `stock` (
`id` varchar(64) NOT NULL,
`name` varchar(255) DEFAULT NULL,
`stock` varchar(255) DEFAULT NULL,
`remarks` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`update_date` datetime DEFAULT NULL COMMENT '最后更新时间',
`create_date` datetime DEFAULT NULL COMMENT '创建时间',
`update_by` varchar(64) NOT NULL DEFAULT '',
`create_by` varchar(64) NOT NULL DEFAULT '',
`del_flag` char(1) NOT NULL DEFAULT '0' COMMENT '0正常,1删除',
PRIMARY KEY (`id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC COMMENT='商品库存表';
CREATE TABLE `t_order` (
`id` varchar(64) NOT NULL,
`order_name` varchar(255) DEFAULT NULL,
`order_user` varchar(255) DEFAULT NULL,
`remarks` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`update_date` datetime DEFAULT NULL COMMENT '最后更新时间',
`create_date` datetime DEFAULT NULL COMMENT '创建时间',
`update_by` varchar(64) NOT NULL DEFAULT '',
`create_by` varchar(64) NOT NULL DEFAULT '',
`del_flag` char(1) NOT NULL DEFAULT '0' COMMENT '0正常,1删除',
PRIMARY KEY (`id`) USING BTREE
) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC COMMENT='秒杀订单表';
<!--redis-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<!--RabbitMQ-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-amqp</artifactId>
</dependency>
spring:
datasource:
url: jdbc:mysql://127.0.0.1:13306/test?autoReconnect=true&useUnicode=true&characterEncoding=utf8&serverTimezone=GMT%2B8&useSSL=false
username: root
password: root1234
# 使用Druid数据源
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.cj.jdbc.Driver
druid:
filters: stat
maxActive: 20
initialSize: 1
maxWait: 60000
minIdle: 1
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQuery: select 'x'
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
maxOpenPreparedStatements: 20
data:
redis:
repositories:
enabled: false
redis:
database: 0 # redis数据库索引(默认为0),我们使用索引为其他(0-15)的数据库,避免和其他数据库冲突
host: 127.0.0.1
port: 6379
password: 12345678
rabbitmq: #mq配置
host: 127.0.0.1
port: 5672
username: guest
password: guest
server:
port: 8090
logging:
config: classpath:logback-spring.xml
Order 秒杀订单表
package com.example.demo.entity;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import lombok.Data;
/**
* @author fj
* @Description: 订单
* @date 2022-07-01 15:54
*/
@TableName("t_order")
@Data
public class Order extends BasePlusEntity<Order>{
private static final long serialVersionUID = 1L;
/**
* 订单名称
*/
@TableField("order_name")
private String orderName;
/**
* 订单用户
*/
@TableField("order_user")
private String orderUser;
}
Stock 商品库存表
package com.example.demo.entity;
import com.baomidou.mybatisplus.annotation.TableField;
import com.baomidou.mybatisplus.annotation.TableName;
import lombok.Data;
/**
* @author fj
* @Description: 商品库存表
* @date 2022-07-01 15:54
*/
@TableName("stock")
@Data
public class Stock extends BasePlusEntity<Stock>{
private static final long serialVersionUID = 1L;
/**
* 产品名称
*/
@TableField("name")
private String name;
/**
* 存货
*/
@TableField("stock")
private String stock;
}
StockService存货服务层
package com.example.demo.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.example.demo.entity.Stock;
/**
* @author fj
* @Description: 存货服务层
* @date 2022-07-01 15:54
*/
public interface StockService extends IService<Stock> {
/**
* 秒杀商品后-减少库存
* @param name 商品名称
*/
void decrByStock(String name);
/**
* 秒杀商品前判断是否有库存
* @param name 商品名称
* @return
*/
Integer selectByName(String name);
/**
* 实现纯数据库操作实现秒杀操作
* @param userName 用户名称
* @param stockName 商品名称
* @return String
*/
String secDataBase(String userName,String stockName);
}
OrderService订单服务层
package com.example.demo.service;
import com.baomidou.mybatisplus.extension.service.IService;
import com.example.demo.entity.Order;
/**
* @author fj
* @Description: 订单服务层
* @date 2022-07-01 15:54
*/
public interface OrderService extends IService<Order> {
/**
* 订单保存
* @param order 实体
*/
void saveOrder(Order order);
}
OrderServiceImpl订单实现层
package com.example.demo.service.impl;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.example.demo.entity.Order;
import com.example.demo.exception.SXException;
import com.example.demo.exception.ServiceExceptionEnum;
import com.example.demo.mapper.OrderMapper;
import com.example.demo.service.OrderService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
/**
* @author fj
* @Description: 订单实现层
* @date 2022-07-01 15:54
*/
@Service
public class OrderServiceImpl extends ServiceImpl<OrderMapper, Order> implements OrderService {
@Autowired
private OrderMapper orderMapper;
/**
* 订单保存
* @param order 实体
*/
@Override
public void saveOrder(Order order) {
if(orderMapper.insert(order) <= 0){
throw new SXException(ServiceExceptionEnum.DATA_INSERT_EXCEPTION);
}
}
}
StockServiceImpl存货实现层
package com.example.demo.service.impl;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.example.demo.entity.Order;
import com.example.demo.entity.Stock;
import com.example.demo.mapper.StockMapper;
import com.example.demo.service.OrderService;
import com.example.demo.service.StockService;
import com.example.demo.utils.IdGenerate;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.Date;
import java.util.List;
/**
* @author fj
* @Description: 存货实现层
* @date 2022-07-07 15:54
*/
@Service
@Slf4j
public class StockServiceImpl extends ServiceImpl<StockMapper, Stock> implements StockService {
@Autowired
private StockMapper stockMapper;
@Autowired
private OrderService orderService;
/**
* 秒杀商品后-减少库存
* @param name 商品名称
*/
@Override
public void decrByStock(String name) {
List<Stock> stockList = stockMapper.selectList(new QueryWrapper<Stock>().lambda().eq(Stock::getName, name));
stockList.forEach(stock -> {
//货物购买
stock.setStock(String.valueOf(Integer.parseInt(stock.getStock())-1));
stockMapper.updateById(stock);
});
}
/**
* 秒杀商品前判断是否有库存
* @param name 商品名称
* @return
*/
@Override
public Integer selectByName(String name) {
//查询存货数量
Integer stockNum = 0;
List<Stock> stockList = stockMapper.selectList(new QueryWrapper<Stock>().lambda().eq(Stock::getName, name));
if(stockList.size() > 0){
stockNum = Integer.parseInt(stockList.get(0).getStock());
}
return stockNum;
}
/**
* 实现纯数据库操作实现秒杀操作
* @param userName 用户名称
* @param stockName 商品名称
* @return String
*/
@Override
public String secDataBase(String userName, String stockName) {
log.info("参加秒杀的用户是:{},秒杀的商品是:{}", userName, stockName);
String message = null;
//查找该商品库存
Integer stockCount = selectByName(stockName);
log.info("用户:{}参加秒杀,当前商品库存量是:{}", userName, stockCount);
if (stockCount > 0) {
/**
* 还有库存,可以进行继续秒杀,库存减一,下订单
*/
//1、库存减一
decrByStock(stockName);
//2、下订单
Order order = new Order();
order.setOrderUser(userName);
order.setOrderName(stockName);
order.setCreateBy(userName);
order.setCreateDate(new Date());
order.setUpdateBy(userName);
order.setUpdateDate(new Date());
order.setDelFlag("0");
order.setId(IdGenerate.generateId());
orderService.saveOrder(order);
log.info("用户:{}.参加秒杀结果是:成功", userName);
message = userName + "参加秒杀结果是:成功";
} else {
log.info("用户:{}.参加秒杀结果是:秒杀已经结束", userName);
message = userName + "参加秒杀活动结果是:秒杀已经结束";
}
return message;
}
}
1)在 service包下面直接新建 MQOrderServiceImpl.java,这个类属于订单的消费队列。
package com.example.demo.service.impl;
import com.example.demo.config.RabbitMqConfig;
import com.example.demo.entity.Order;
import com.example.demo.service.OrderService;
import com.example.demo.utils.IdGenerate;
import lombok.extern.slf4j.Slf4j;
import org.springframework.amqp.rabbit.annotation.RabbitListener;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.Date;
/**
* @author fj
* @Description: MQ订单实现层
* @date 2022-07-07 15:54
*/
@Service
@Slf4j
public class MQOrderServiceImpl {
@Autowired
private OrderService orderService;
/**
* MQ监听订单消息队列,并消费
* @param order
*/
@RabbitListener(queues = RabbitMqConfig.ORDER_QUEUE)
public void saveOrder(Order order) {
log.info("收到订单消息,订单用户为:{},商品名称为:{}", order.getOrderUser(), order.getOrderName());
/**
* 调用数据库orderService创建订单信息
*/
order.setCreateBy(order.getOrderUser());
order.setCreateDate(new Date());
order.setUpdateBy(order.getOrderUser());
order.setUpdateDate(new Date());
order.setDelFlag("0");
order.setId(IdGenerate.generateId());
orderService.saveOrder(order);
}
}
2)MQStockServiceImpl.java这个属于库存得消费队列。
package com.example.demo.service.impl;
import com.example.demo.config.RabbitMqConfig;
import com.example.demo.entity.Order;
import com.example.demo.service.StockService;
import com.example.demo.utils.IdGenerate;
import com.example.demo.utils.RedisUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.amqp.rabbit.annotation.RabbitListener;
import org.springframework.amqp.rabbit.core.RabbitTemplate;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.Date;
/**
* @author fj
* @Description: MQ存货实现层
* @date 202-07-07 15:54
*/
@Service
@Slf4j
public class MQStockServiceImpl {
@Autowired
private StockService stockService;
@Autowired
private RabbitTemplate rabbitTemplate;
@Autowired
private RedisUtil redisUtil;
/**
* 秒杀商品后-减少库存
* @param name 商品名称
*/
@RabbitListener(queues = RabbitMqConfig.STORY_QUEUE)
public void decrByStock(String name) {
log.info("库存消息队列收到的消息商品信息是:{}", name);
/**
* 调用数据库service给数据库对应商品库存减一
*/
stockService.decrByStock(name);
}
/**
* 使用redis+消息队列进行秒杀实现
* @param userName 用户名称
* @param stockName 商品名称
* @return String
*/
public String secKill(String userName,String stockName) {
log.info("参加秒杀的用户是:{},秒杀的商品是:{}", userName, stockName);
String message = "";
//调用redis给相应商品库存量减一
Long decrByResult = redisUtil.decrBy(stockName);
if (decrByResult >= 0) {
/**
* 说明该商品的库存量有剩余,可以进行下订单操作
*/
log.info("用户:{}秒杀该商品:{}库存有余,可以进行下订单操作", userName, stockName);
//发消息给库存消息队列,将库存数据减一
rabbitTemplate.convertAndSend(RabbitMqConfig.STORY_EXCHANGE, RabbitMqConfig.STORY_ROUTING_KEY, stockName);
//发消息给订单消息队列,创建订单
Order order = new Order();
order.setOrderName(stockName);
order.setOrderUser(userName);
rabbitTemplate.convertAndSend(RabbitMqConfig.ORDER_EXCHANGE, RabbitMqConfig.ORDER_ROUTING_KEY, order);
message = "用户" + userName + "秒杀" + stockName + "成功";
} else {
/**
* 说明该商品的库存量没有剩余,直接返回秒杀失败的消息给用户
*/
log.info("用户:{}秒杀时商品的库存量没有剩余,秒杀结束", userName);
message = "用户:"+ userName + "商品的库存量没有剩余,秒杀结束";
}
return message;
}
}
1.RabbitMqConfig.java
package com.example.demo.config;
import org.springframework.amqp.core.*;
import org.springframework.amqp.support.converter.Jackson2JsonMessageConverter;
import org.springframework.amqp.support.converter.MessageConverter;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
/**
* @author fj
* @Description: RabbitMQConfig插件配置
* @date 2022-07-07 16:23
*/
@Configuration
public class RabbitMqConfig {
//库存交换机
public static final String STORY_EXCHANGE = "STORY_EXCHANGE";
//订单交换机
public static final String ORDER_EXCHANGE = "ORDER_EXCHANGE";
//库存队列
public static final String STORY_QUEUE = "STORY_QUEUE";
//订单队列
public static final String ORDER_QUEUE = "ORDER_QUEUE";
//库存路由键
public static final String STORY_ROUTING_KEY = "STORY_ROUTING_KEY";
//订单路由键
public static final String ORDER_ROUTING_KEY = "ORDER_ROUTING_KEY";
@Bean
public MessageConverter messageConverter() {
return new Jackson2JsonMessageConverter();
}
/**
* 创建库存交换机
* @return
*/
@Bean
public Exchange getStoryExchange() {
return ExchangeBuilder.directExchange(STORY_EXCHANGE).durable(true).build();
}
/**
* 创建库存队列
* @return
*/
@Bean
public Queue getStoryQueue() {
return new Queue(STORY_QUEUE,true);
}
/**
* 库存交换机和库存队列绑定
* @return
*/
@Bean
public Binding bindStory() {
return BindingBuilder.bind(getStoryQueue()).to(getStoryExchange()).with(STORY_ROUTING_KEY).noargs();
}
/**
* 创建订单队列
* @return
*/
@Bean
public Queue getOrderQueue() {
return new Queue(ORDER_QUEUE);
}
/**
* 创建订单交换机
* @return
*/
@Bean
public Exchange getOrderExchange() {
return ExchangeBuilder.directExchange(ORDER_EXCHANGE).durable(true).build();
}
/**
* 订单队列与订单交换机进行绑定
* @return
*/
@Bean
public Binding bindOrder() {
return BindingBuilder.bind(getOrderQueue()).to(getOrderExchange()).with(ORDER_ROUTING_KEY).noargs();
}
}
2.RedisCacheConfig.java
package com.example.demo.config;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.ListOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.listener.RedisMessageListenerContainer;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
/**
* @ClassName: RedisCacheConfig
* @Description: redis 缓存配置;
* 注意:RedisCacheConfig这里也可以不用继承:CachingConfigurerSupport,
* 也就是直接一个普通的Class就好了 这里主要我们之后要重新实现
* key的生成策略,只要这里修改KeyGenerator,其它位置不用修改就生效了。
* 普通使用普通类的方式的话,那么在使用@Cacheable的时候还需要指定KeyGenerator的名称;
* 这样编码的时候比较麻烦。
* @author: fj
* @date: 2022年07月08日 下午3:30:19
*/
@Configuration
@EnableCaching // 启用缓存,这个注解很重要;
public class RedisCacheConfig {
@Autowired
private RedisConnectionFactory redisConnectionFactory;
/**
* 缓存配置初始化一个cacheManager
* @param connectionFactory
* @return
*/
@Bean
public CacheManager cacheManager(RedisConnectionFactory connectionFactory) {
RedisCacheManager redisCacheManager = RedisCacheManager.builder(connectionFactory).build();
return redisCacheManager;
}
/**
* 防止redis入库序列化乱码的问题
* @param redisConnectionFactory
* @return RedisTemplate
*/
@Bean
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(redisConnectionFactory);
// 使用Jackson2JsonRedisSerialize 替换默认序列化
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
// 设置value的序列化规则和 key的序列化规则
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(new StringRedisSerializer());
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
/**
* 重写hashOperations
* @param redisTemplate
* @return
*/
@Bean
public HashOperations<String, String, Object> hashOperations(RedisTemplate<String, Object> redisTemplate) {
return redisTemplate.opsForHash();
}
/**
* 重写listOperations
* @param redisTemplate
* @return
*/
@Bean
public ListOperations<String, Object> listOperations(RedisTemplate<String, Object> redisTemplate) {
return redisTemplate.opsForList();
}
/**
* redisMessageListenerContainer
* @return
*/
@Bean
public RedisMessageListenerContainer redisMessageListenerContainer() {
RedisMessageListenerContainer redisMessageListenerContainer = new RedisMessageListenerContainer();
redisMessageListenerContainer.setConnectionFactory(redisConnectionFactory);
return redisMessageListenerContainer;
}
}
3.RedisUtil.java部分代码
/**
* 对指定key的键值减一
* @param key 键
* @return Long
*/
public Long decrBy(String key) {
return redisTemplate.opsForValue().decrement(key);
}
package com.example.demo.controller;
import com.example.demo.result.RestResponse;
import com.example.demo.result.ResultGenerator;
import com.example.demo.service.StockService;
import com.example.demo.service.impl.MQStockServiceImpl;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
/**
* @author fj
* @Description: 秒杀
* @date 2022-07-08 20:59
*/
@RestController
@Api(value = "SecKillController", tags = "秒杀控制层")
@Slf4j
public class SecKillController {
@Autowired
private MQStockServiceImpl mQStockService;
@Autowired
private StockService stockService;
/**
* 使用redis+消息队列进行秒杀实现
* @param userName 用户名称
* @param stockName 商品名称
* @return String
*/
@PostMapping(value = "sec-kill",produces = "application/json")
@ApiOperation(value = "redis+消息队列进行秒杀实现", notes = "redis+消息队列进行秒杀实现", produces = "application/json")
public RestResponse secKill(@RequestParam(value = "userName") String userName, @RequestParam(value = "stockName") String stockName) {
return ResultGenerator.genSuccessResult(mQStockService.secKill(userName, stockName));
}
/**
* 实现纯数据库操作实现秒杀操作
* @param userName 用户名称
* @param stockName 商品名称
* @return String
*/
@PostMapping(value = "sec-data-base",produces = "application/json;")
@ApiOperation(value = "实现纯数据库操作实现秒杀操作", notes = "实现纯数据库操作实现秒杀操作", produces = "application/json")
public RestResponse secDataBase(@RequestParam(value = "userName") String userName, @RequestParam(value = "stockName") String stockName) {
return ResultGenerator.genSuccessResult(stockService.secDataBase(userName, stockName));
}
}
package com.example.demo;
import com.example.demo.utils.RedisUtil;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.ApplicationArguments;
import org.springframework.boot.ApplicationRunner;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class DemoApplication implements ApplicationRunner {
public static void main(String[] args) {
SpringApplication.run(DemoApplication.class, args);
/*SpringApplication springApplication = new SpringApplication(DemoApplication.class);
ConfigurableApplicationContext configurableApplicationContext = springApplication.run(args);
//解决WebSocket不能注入的问题 第一种方法
WebSocketServerController.setApplicationContext(configurableApplicationContext);*/
}
@Autowired
private RedisUtil redisUtil;
/**
* redis初始化商品的库存量和信息
* @param args
* @throws Exception
*/
@Override
public void run(ApplicationArguments args) throws Exception {
redisUtil.setValue("watch", 10, (long)20000);
}
}