
        <!--  redis-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>

2、配置文件


spring： 
 redis:
    host: localhost # 本地IP 或是 虚拟机IP
    port: 6379
    #    password: root
    database: 0  # 默认使用 0号db
  cache:
    redis:
      time-to-live: 1800000  # 设置缓存数据的过期时间，30分钟

二、缓存短信验证码

1、实现思路

2、代码改造


@RestController
@RequestMapping("/user")
@Slf4j
public class UserController {
 
    @Autowired
    private UserService userService;
 
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
 
    /**
     * 发送邮箱短信验证码
     * @param user
     * @return
     */
    @PostMapping("/sendMsg")
    public R<String> sendMsg(@RequestBody User user, HttpSession session){
        //获取邮箱
        String phone = user.getPhone();
 
        if(StringUtils.isNotEmpty(phone)){
            //发送验证码到邮箱
            String code = userService.send(user);
 
            //需要将生成的验证码保存到Session
//            session.setAttribute(phone,code);
 
            //将生成的验证码缓存到redis中，并且设置有效期为5分钟
            stringRedisTemplate.opsForValue().set(phone,code,5, TimeUnit.MINUTES);
 
            return R.success("手机验证码短信发送成功");
        }
 
        return R.error("短信发送失败");
    }
 
    /**
     * 移动端登录
     * @param map
     * @param session
     * @return
     */
    @PostMapping("/login")
    public R<User> sendMsg(@RequestBody Map map, HttpSession session){
        //获取邮箱
        String phone = map.get("phone").toString();
 
        //获取验证码
        String code = map.get("code").toString();
 
        //从Session中获取保存的验证码
//        Object codeInSession = session.getAttribute(phone);
 
        //从redis中获取缓存的验证码
        String s = stringRedisTemplate.opsForValue().get(phone);
 
        //进行验证码的比对（页面提交的验证码和Session中保存的验证码比对）
        if(s != null && s.equals(code)){
            //如果能够比对成功，说明登录成功
            LambdaQueryWrapper<User> eq = Wrappers.lambdaQuery(User.class)
                    .eq(User::getPhone, phone);
            User user = userService.getOne(eq);
 
            if(user == null){
                //判断当前邮箱账号对应的用户是否为新用户，如果是新用户就自动完成注册
                user = new User();
                user.setPhone(phone);
                user.setStatus(1);
                userService.save(user);
            }
            session.setAttribute("user",user.getId());
 
            //如果用户登录成功，删除Redis中缓存的验证码
            stringRedisTemplate.delete(phone);
 
            return R.success(user);
        }
 
        return R.error("登录失败");
    }
}

三、缓存菜品数据

1、实现思路

2、代码改造


@RestController
@Slf4j
@RequestMapping("/dish")
public class DishController {
 
    @Autowired
    private DishService dishService;
 
    @Autowired
    private DishFlavorService dishFlavorService;
 
    @Autowired
    private CategoryService categoryService;
 
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
 
    @Autowired
    private RedisTemplate redisTemplate;
 
    /**
     * 分页查找
     * @param page
     * @param pageSize
     * @param name
     * @return
     */
    @GetMapping("/page")
    public R<Page> page(int page,int pageSize,String name){
        //构造分页对象
        Page<Dish> dishPage = new Page<>(page, pageSize);
        Page<DishDto> dishDtoPage = new Page<>();
 
        //条件构造器：过滤和排序
        LambdaQueryWrapper<Dish> like = Wrappers.lambdaQuery(Dish.class)
                .like(StringUtils.isNotEmpty(name),Dish::getName, name)
                .orderByDesc(Dish::getUpdateTime);
 
        //执行分页查询
        dishService.page(dishPage,like);
 
        //对象拷贝:将第一个参数对象，拷贝到第二个参数的对象中，第三个参数表示忽略拷贝的内容
        BeanUtils.copyProperties(dishPage,dishDtoPage,"records");
 
        List<Dish> records = dishPage.getRecords();
        List<DishDto> list = records.stream().map((item) -> {
            DishDto dishDto = new DishDto();
 
            BeanUtils.copyProperties(item,dishDto);
 
            Long categoryId = item.getCategoryId();  //分类id
 
            //根据id查询分类对象
            Category byId = categoryService.getById(categoryId);
 
            if(byId != null){
                String byIdName = byId.getName();
                dishDto.setCategoryName(byIdName);
            }
 
            return dishDto;
        }).collect(Collectors.toList());
 
        dishDtoPage.setRecords(list);
 
        return R.success(dishDtoPage);
    }
 
    /**
     * 新增菜品
     * @param dishDto
     * @return
     */
    @PostMapping
    public R<String> save(@RequestBody DishDto dishDto){
 
        dishService.saveWithFlavor(dishDto);
 
        //清理所有菜品的缓存数据
//        Set<String> keys = stringRedisTemplate.keys("dish_*");
//        stringRedisTemplate.delete(keys);
 
        //清理某个分类下面的菜品缓存数据
        String key = "dish_" + dishDto.getCategoryId() + "_1";
        stringRedisTemplate.delete(key);
 
        return R.success("新增菜品成功");
    }
 
    /**
     * 根据id查询菜品信息和对应的口味信息
     * @param id
     * @return
     */
    @GetMapping("/{id}")
    public R<DishDto> get(@PathVariable Long id){
        DishDto byIdWithFlavor = dishService.getByIdWithFlavor(id);
 
        return R.success(byIdWithFlavor);
    }
 
    /**
     * 修改菜品
     * @return
     */
    @PutMapping
    public R<String> update(@RequestBody DishDto dishDto){
        dishService.updateWithFlavor(dishDto);
 
        //清理某个分类下面的菜品缓存数据
        String key = "dish_" + dishDto.getCategoryId() + "_1";
        stringRedisTemplate.delete(key);
 
        return R.success("修改菜品成功");
    }
 
    /**
     * 根据条件查询对应的菜品数据
     * @param dish
     * @return
     */
    @GetMapping("list")
    public R<List<DishDto>> list(Dish dish){
        List<DishDto> collect = null;
 
        //dish_1397844391040167938_1(动态构造key)
        String key = "dish_" + dish.getCategoryId() + "_" + dish.getStatus();
 
        //先从redis中获取缓存数据
        collect = JSON.parseArray(stringRedisTemplate.opsForValue().get(key), DishDto.class);
 
        if(collect != null){
            //如果存在，直接返回，无需查询数据库
            return R.success(collect);
        }
 
        //构造查询条件,并添加排序条件,再查询状态为1（起售状态）的菜品
        LambdaQueryWrapper<Dish> dishLambdaQueryWrapper = Wrappers.lambdaQuery(Dish.class)
                .eq(dish.getCategoryId() != null, Dish::getCategoryId, dish.getCategoryId())
                .eq(Dish::getStatus,1)
                .orderByAsc(Dish::getSort)
                .orderByDesc(Dish::getUpdateTime);
 
        List<Dish> list = dishService.list(dishLambdaQueryWrapper);
 
        collect = list.stream().map((item) -> {
            DishDto dishDto = new DishDto();
 
            BeanUtils.copyProperties(item, dishDto);
 
            Long categoryId = item.getCategoryId();  //分类id
 
            //根据id查询分类对象
            Category byId = categoryService.getById(categoryId);
 
            if (byId != null) {
                String byIdName = byId.getName();
                dishDto.setCategoryName(byIdName);
            }
 
            //当前菜品的id
            Long dishId = item.getId();
            //获取当前菜品口味
            LambdaQueryWrapper<DishFlavor> eq = Wrappers.lambdaQuery(DishFlavor.class)
                    .eq(DishFlavor::getDishId, dishId);
            List<DishFlavor> dishFlavorsList = dishFlavorService.list(eq);
            dishDto.setFlavors(dishFlavorsList);
 
            return dishDto;
        }).collect(Collectors.toList());
 
        //如果不存在，需要查询数据库，将查询到的菜品数据缓存到Redis
        stringRedisTemplate.opsForValue().set(key, JSON.toJSONString(collect),60, TimeUnit.MINUTES);
 
        return R.success(collect);
    }
 
    /**
     * 菜品起售停售功能 status：0 停售 1 起售
     * @param ids
     * @return
     */
    @PostMapping("/status/{status}")
    public R<String> status(@PathVariable int status,@RequestParam List<Long> ids){
        ids.stream().forEach((item) -> {
            LambdaUpdateWrapper<Dish> set = Wrappers.lambdaUpdate(Dish.class)
                    .eq(item != null, Dish::getId, item);
 
            if(status == 0){
                set.ne(Dish::getStatus,0).set(Dish::getStatus, 0);
 
                dishService.update(set);
            }else{
                set.ne(Dish::getStatus,1).set(Dish::getStatus, 1);
 
                dishService.update(set);
            }
 
            Dish byId = dishService.getById(item);
            //清理某个分类下面的菜品缓存数据
            String key = "dish_" + byId.getCategoryId() + "_1";
            if(stringRedisTemplate.opsForValue().get(key) != null) {
                stringRedisTemplate.delete(key);
            }
        });
 
        return R.success("菜品已更改为停售");
    }
 
    /**
     * 菜品删除
     * @param ids
     * @return
     */
    @DeleteMapping
    public R<String> delete(@RequestParam List<Long> ids){
        ids.stream().forEach((item) -> {
            Dish byId = dishService.getById(item);
            //清理某个分类下面的菜品缓存数据
            String key = "dish_" + byId.getCategoryId() + "_1";
            if(stringRedisTemplate.opsForValue().get(key) != null) {
                stringRedisTemplate.delete(key);
            }
 
            dishService.removeById(item);
        });
 
        return R.success("删除菜品成功");
    }
}

四、SpringCache

1、介绍

2、常用注解

3、注解的使用：

4、spring boot中使用spring cache

五、缓存套餐数据

1、实现思路

2、代码改造

2.1、导入坐标


        <!--  redis-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-cache</artifactId>
            <version>2.7.3</version>
        </dependency>

2.2、配置文件


spring 
 redis:
    host: localhost # 本地IP 或是 虚拟机IP
    port: 6379
    #    password: root
    database: 0  # 默认使用 0号db
 
  cache:
    redis:
      time-to-live: 1800000  # 设置缓存数据的过期时间，30分钟

2.3、在启动类加入注解，开启缓存注解功能


@SpringBootApplication
@ServletComponentScan
@EnableTransactionManagement
@MapperScan(basePackages = "com.itheima.reggie.mapper")
@EnableCaching //开启缓存注解
public class ReggieApplication {
    public static void main(String[] args) {
        SpringApplication.run(ReggieApplication.class, args);
    }
}

2.4、在SetmealController控制类中加入缓存注解


/**
 * 套餐管理
 */
@Slf4j
@RestController
@RequestMapping("/setmeal")
public class SetmealController {
 
    @Autowired
    private SetmealService setmealService;
 
    @Autowired
    private SetmealDishService setmealDishService;
 
    @Autowired
    private CategoryService categoryService;
 
    /**
     * 套餐分页查询
     * @param page
     * @param pageSize
     * @param name
     * @return
     */
    @GetMapping("/page")
    public R<Page> page(int page, int pageSize, String name){
 
        //构造分页对象
        Page<Setmeal> setmealPage = new Page<>(page, pageSize);
        Page<SetmealDto> SetmealDtoPage = new Page<>();
 
        //条件构造器：过滤和排序
        LambdaQueryWrapper<Setmeal> like = Wrappers.lambdaQuery(Setmeal.class)
                .like(StringUtils.isNotEmpty(name),Setmeal::getName, name)
                .orderByDesc(Setmeal::getUpdateTime);
 
        //执行分页查询
        setmealService.page(setmealPage,like);
 
        //对象拷贝:将第一个参数对象，拷贝到第二个参数的对象中，第三个参数表示忽略拷贝的内容
        BeanUtils.copyProperties(setmealPage,SetmealDtoPage,"records");
 
        List<Setmeal> records = setmealPage.getRecords();
        List<SetmealDto> list = records.stream().map((item) -> {
            SetmealDto setmealDto = new SetmealDto();
 
            BeanUtils.copyProperties(item,setmealDto);
 
            Long categoryId = item.getCategoryId();  //分类id
 
            //根据id查询分类对象
            Category byId = categoryService.getById(categoryId);
 
            if(byId != null){
                String byIdName = byId.getName();
                setmealDto.setCategoryName(byIdName);
            }
 
            return setmealDto;
        }).collect(Collectors.toList());
 
        SetmealDtoPage.setRecords(list);
 
        return R.success(SetmealDtoPage);
    }
 
    /**
     * 新增套餐
     * @param setmealDto
     * @return
     */
    @CacheEvict(value = "setmealCache",allEntries = true)
    @PostMapping
    public R<String> save(@RequestBody SetmealDto setmealDto){
        setmealService.saveWithDish(setmealDto);
 
        return R.success("新增套餐成功");
    }
 
    /**
     * 根据条件查询套餐数据
     * @return
     */
    @Cacheable(value = "setmealCache",key = "#setmeal.categoryId + '_' + #setmeal.status")
    @GetMapping("list")
    public R<List<Setmeal>> list(Setmeal setmeal){
        LambdaQueryWrapper<Setmeal> eq = Wrappers.lambdaQuery(Setmeal.class)
                .eq(setmeal.getCategoryId() != null,Setmeal::getCategoryId,setmeal.getCategoryId())
                .eq(setmeal.getStatus() != null,Setmeal::getStatus, setmeal.getStatus())
                .orderByDesc(Setmeal::getUpdateTime);
 
        List<Setmeal> list = setmealService.list(eq);
 
        return R.success(list);
    }
 
    /**
     * 删除套餐
     * @param ids
     * @return
     */
    //allENtries = true表示删除全部
    @CacheEvict(value = "setmealCache",allEntries = true)
    @DeleteMapping
    public R<String> delete(@RequestParam List<Long> ids){
        setmealService.removeWithDish(ids);
 
        return R.success("套餐数据删除成功");
    }
 
    /**
     * 套餐起售停售功能 status：0 停售 1 起售
     * @param ids
     * @return
     */
    @CacheEvict(value = "setmealCache",allEntries = true)
    @PostMapping("/status/{status}")
    public R<String> status(@PathVariable int status,@RequestParam List<Long> ids){
        ids.stream().forEach((item) -> {
            LambdaUpdateWrapper<Setmeal> set = Wrappers.lambdaUpdate(Setmeal.class)
                    .eq(item != null, Setmeal::getId, item);
 
            if(status == 0){
                set.ne(Setmeal::getStatus,0).set(Setmeal::getStatus, 0);
 
                setmealService.update(set);
            }else{
                set.ne(Setmeal::getStatus,1).set(Setmeal::getStatus, 1);
 
                setmealService.update(set);
            }
        });
 
        return R.success("菜品已更改为停售");
    }
}

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