1. redis缓存
当执行增删改操纵时必须保证缓存和数据库数据一致性。---删除缓存
1.1 增删改
service:
/**
* @program: redis-springboot01
* @author: ♥丁新华
* @create: 2023-04-25 11:12
**/
public interface StudentService {
/**
* 根据ID查询
* @param id
* @return
*/
Student findById (Integer id);
/**
* 增加数据
* @return
*/
Student insert(Student s);
/**
* 删除数据
*/
Integer delete(Integer id);
/**
* 修改数据
*/
Student update(Student s);
}
serviceimpl :
/**
* @program: redis-springboot01
* @author: ♥丁新华
* @create: 2023-04-25 11:16
**/
@Service
public class StudentServiceimpl implements StudentService {
@Resource
private StudentMapper studentMapper;
@Autowired
private RedisTemplate<String,Object> redisTemplate;
/**
* 查询 ID
* @param id
* @return
*/
@Override
public Student findById(Integer id) {
ValueOperations<String, Object> sv = redisTemplate.opsForValue ();
//先获取ID
Object o = sv.get (id);
//判断
if (o != null){
//证明没有 存入
return (Student) o;
}
Student student = studentMapper.selectById (id);
if (student != null){
sv.set ("student::" + id,student);
}
return student;
}
/**
* 增加数据 缓存没有影响
* @return
*/
@Override
public Student insert(Student s) {
int insert = studentMapper.insert (s);
return s;
}
@Override
public Integer delete(Integer id) {
//缓存要与数据库保持一致
redisTemplate.delete ("delete::" + id);
int i = studentMapper.deleteById (id);
return i;
}
@Override
public Student update(Student s) {
//修改也要删除数据库缓存
redisTemplate.delete ("student::" + s);
int i = studentMapper.updateById (s);
return s;
}
}
controller:
/**
* @program: redis-springboot01
* @author: ♥丁新华
* @create: 2023-04-25 11:20
**/
@RestController
public class StudentController {
@Resource
private StudentService studentService;
/**
* 查询
* @param id
* @return
*/
//restful风格
@GetMapping("b/{id}")
public Student findById(@PathVariable Integer id){
return studentService.findById (id);
}
/**
* 增加
*/
@PostMapping("insert")
public Student insert(Student s){
return studentService.insert (s);
}
/**
* 删除数据
* @return
*/
@DeleteMapping("delete")
public Integer delete(Integer id){
return studentService.delete (id);
}
/**
* 修改
*/
@PostMapping("update")
public Student update(Student s){
return studentService.update (s);
}
}
2. redis使用分布式锁
(1)通过使用jmeter压测工具测试
@Data
@TableName(value = "tbl_stock")
public class Stock {
@TableId(type = IdType.AUTO,value = "productId")
private int productId;
private Integer num;
}
问题 :同一个库存数被多个线程卖,线程安全问题。---思考:之间出现线程安全问题时如何解决。
解决 :可以使用锁解决:----synchronized和Lock锁
@Service
public class StockService_lock_syn {
@Autowired
private StockDao stockDao;
public static Object o=new Object();
Lock lock=new ReentrantLock();
public String jianStock(Integer pid){
try {
lock.lock();//加锁
//1. 查询指定的商品库存
Stock stock = stockDao.selectById(pid);
if (stock.getNum() > 0) {
//2.库存减1
stock.setNum(stock.getNum() - 1);
stockDao.updateById(stock);
System.out.println("库存剩余数量:" + stock.getNum());
return "减库存成功";
} else {
System.out.println("库存不足");
return "库存减失败";
}
}
finally {
lock.unlock(); //释放锁
}
}
}
需要在idea中跑项目的集群
配置nginx
启动nginx
jmeter压测
问题: 两台集群出现重卖问题。
3. 使用redis来解决分布式锁
图示:
**
* @program: redis-lock-qy145
* @description:
* @author: 闫克起2
* @create: 2022-03-01 11:13
**/
@Service
public class StockService_lock_syn2 {
//注入dao
@Resource
private StockDao stockDao;
@Autowired
private StringRedisTemplate template;
public String jianStock(Integer pid) {
//占锁
ValueOperations<String, String> forValue = template.opsForValue ();
Boolean aBoolean = forValue.setIfAbsent ("product::" + pid, "", 30, TimeUnit.SECONDS);
while (!aBoolean){
try {
//休眠一会
Thread.sleep (20);
} catch (InterruptedException e) {
e.printStackTrace ();
}
}
try {
//获取
Stock stock = stockDao.selectById (pid);
//判断
if (stock.getNum () > 0){
//先减一
stock.setNum (stock.getNum () - 1);
//更新缓存
stockDao.updateById (stock);
//输出
System.out.println ("剩余票数" + stock.getNum ());
return "减去成功";
}else {
System.out.println ("库存不足");
return "减去失败";
}
}finally {
//释放锁资源
template.delete ("product::" + pid);
}
}
}
如果你的业务代码的执行时间超过30s,当前线程删除的是其他线程的锁资源。 --watchDog机制
每个10s检测当前线程是否还持有所资源,如果持有则为当前线程延迟。---可以自己设置watchDog机制,---第三方Redission完美的解决分布式锁。
4. redisson完美解决redis超时问题
(1) 添加依赖
<dependency>
<groupId>org.redisson</groupId>
<artifactId>redisson</artifactId>
<version>3.13.4</version>
</dependency>
(2)main函数
@SpringBootApplication
public class RedisLockQy145Application {
public static void main(String[] args) {
SpringApplication.run(RedisLockQy145Application.class, args);
}
@Bean //创建redisson交于spring容器来管理
public RedissonClient redisson() {
Config config = new Config();
config.setLockWatchdogTimeout(300);
config.useSingleServer().setAddress("redis://192.168.28.222:6379");
RedissonClient redisson = Redisson.create(config);
return redisson;
}
}
(3)使用
/**
* @program: redis-lock-qy145
* @description:
* @author: 闫克起2
* @create: 2022-03-01 11:13
**/
@Service
public class StockService_lock_syn3 {
//注入dao
@Resource
private StockDao stockDao;
//注入redisson
@Autowired
private RedissonClient redisson;
public String jianStock(Integer pid) {
RLock lock = redisson.getLock ("product::" + pid);
try {
//加锁
lock.lock (30,TimeUnit.SECONDS);
//获取
Stock stock = stockDao.selectById (pid);
//判断
if (stock.getNum () > 0){
//先减一
stock.setNum (stock.getNum () - 1);
//更新缓存
stockDao.updateById (stock);
//输出
System.out.println ("剩余票数" + stock.getNum ());
return "减去成功";
}else {
System.out.println ("库存不足");
return "减去失败";
}
}finally {
//释放锁资源
lock.unlock ();
}
}
}