在經過多線程來解決高併發的問題上,線程安全每每是最早須要考慮的問題,其次纔是性能。庫存超賣問題是有不少種技術解決方案的,好比悲觀鎖,分佈式鎖,樂觀鎖,隊列串行化,Redis原子操做等。本篇經過MySQL樂觀鎖來演示基本實現。java
基本的scheme已建好,演示就拿最簡單的數據結構最好不過了。mysql
DROP TABLE IF EXISTS `goods`;
CREATE TABLE `goods` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '商品id',
`name` varchar(30) DEFAULT NULL COMMENT '商品名稱',
`stock` int(11) DEFAULT '0' COMMENT '商品庫存',
`version` int(11) DEFAULT '0' COMMENT '併發版本控制',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT '商品表';
INSERT INTO `goods` VALUES (1, 'iphone', 10, 0);
INSERT INTO `goods` VALUES (2, 'huawei', 10, 0);
DROP TABLE IF EXISTS `order`;
CREATE TABLE `order` (
`id` int(11) AUTO_INCREMENT,
`uid` int(11) COMMENT '用戶id',
`gid` int(11) COMMENT '商品id',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT '訂單表';
複製代碼
沒有環境的小夥伴能夠經過Docker實戰之MySQL主從複製,快速的進行MySQL環境的搭建。建立數據庫test
,而後導入相關的sql初始化Table。web
下邊是pom.xml依賴配置。spring
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>2.1.1</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId>
<scope>runtime</scope>
<optional>true</optional>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</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>
複製代碼
因爲演示中MyBatis基於接口映射,配置簡單。application.yml中只須要配置mysql相關便可sql
spring:
datasource:
type: com.zaxxer.hikari.HikariDataSource
driverClassName: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://localhost:3307/test?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF-8&useSSL=false&serverTimezone=UTC
username: root
password: root
複製代碼
package com.idcmind.ants.entity;
public class Goods {
private int id;
private String name;
private int stock;
private int version;
...
此處省略getter、setter以及 toString方法
}
複製代碼
public class Order {
private int id;
private int uid;
private int gid;
...
此處省略getter、setter以及 toString方法
}
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GoodsDao.java數據庫
@Mapper
public interface GoodsDao {
/** * 查詢商品庫存 * @param id 商品id * @return */
@Select("SELECT * FROM goods WHERE id = #{id}")
Goods getStock(@Param("id") int id);
/** * 樂觀鎖方案扣減庫存 * @param id 商品id * @param version 版本號 * @return */
@Update("UPDATE goods SET stock = stock - 1, version = version + 1 WHERE id = #{id} AND stock > 0 AND version = #{version}")
int decreaseStockForVersion(@Param("id") int id, @Param("version") int version);
}
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OrderDao.java安全
這裏須要特別注意,因爲order
是sql中的關鍵字,因此表名須要加上反引號。數據結構
@Mapper
public interface OrderDao {
/** * 插入訂單 * 注意: order表是關鍵字,須要`order` * @param order */
@Insert("INSERT INTO `order` (uid, gid) VALUES (#{uid}, #{gid})")
@Options(useGeneratedKeys = true, keyProperty = "id")
int insertOrder(Order order);
}
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GoodsService.javamybatis
@Service
public class GoodsService {
@Autowired
private GoodsDao goodsDao;
@Autowired
private OrderDao orderDao;
/** * 扣減庫存 * @param gid 商品id * @param uid 用戶id * @return SUCCESS 1 FAILURE 0 */
@Transactional
public int sellGoods(int gid, int uid) {
// 獲取庫存
Goods goods = goodsDao.getStock(gid);
if (goods.getStock() > 0) {
// 樂觀鎖更新庫存
int update = goodsDao.decreaseStockForVersion(gid, goods.getVersion());
// 更新失敗,說明其餘線程已經修改過數據,本次扣減庫存失敗,能夠重試必定次數或者返回
if (update == 0) {
return 0;
}
// 庫存扣減成功,生成訂單
Order order = new Order();
order.setUid(uid);
order.setGid(gid);
int result = orderDao.insertOrder(order);
return result;
}
// 失敗返回
return 0;
}
}
複製代碼
這裏咱們寫個單元測試進行併發測試。多線程
@SpringBootTest
class GoodsServiceTest {
@Autowired
GoodsService goodsService;
@Test
void seckill() throws InterruptedException {
// 庫存初始化爲10,這裏經過CountDownLatch和線程池模擬100個併發
int threadTotal = 100;
ExecutorService executorService = Executors.newCachedThreadPool();
final CountDownLatch countDownLatch = new CountDownLatch(threadTotal);
for (int i = 0; i < threadTotal ; i++) {
int uid = i;
executorService.execute(() -> {
try {
goodsService.sellGoods(1, uid);
} catch (Exception e) {
e.printStackTrace();
}
countDownLatch.countDown();
});
}
countDownLatch.await();
executorService.shutdown();
}
}
複製代碼
查看數據庫驗證是否超賣
上圖的結果與咱們的預期一致。此外還能夠經過Postman或者Jmeter進行併發測試。因爲不是此處的重點,再也不作演示,感興趣的小夥伴能夠留言,我會整理下相關的教程。
這篇文章經過數據庫樂觀鎖已經解決了庫存超賣的問題,不過效率上並非最優方案,後續會完善其餘方案的演示。文中若有錯漏之處,還望你們不吝賜教。
公衆號 【當我趕上你】
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