使用Java编程和springboot框架统计本周第一天 本月第一天 本年第一天起到今天为止的中奖趋势接口 并对接口进行redis缓存处理 过期时间10分钟给出相应的controller层，service层,service实现类，daoc层及mapper，

好的，以下是对应的代码实现：

**Controller层：**

@RestController
@RequestMapping("/trend")
public class TrendController {

    @Autowired
    private TrendService trendService;

    @GetMapping("/week")
    public List<Integer> getWeekTrend() {
        return trendService.getWeekTrend();
    }

    @GetMapping("/month")
    public List<Integer> getMonthTrend() {
        return trendService.getMonthTrend();
    }

    @GetMapping("/year")
    public List<Integer> getYearTrend() {
        return trendService.getYearTrend();
    }
}

**Service层：**

public interface TrendService {

    List<Integer> getWeekTrend();

    List<Integer> getMonthTrend();

    List<Integer> getYearTrend();
}

**Service实现类：**

@Service
public class TrendServiceImpl implements TrendService {

    @Autowired
    private TrendDao trendDao;

    @Autowired
    private RedisTemplate<String, List<Integer>> redisTemplate;

    @Override
    public List<Integer> getWeekTrend() {
        String key = "week_trend";
        List<Integer> weekTrend = redisTemplate.opsForValue().get(key);
        if (weekTrend == null) {
            weekTrend = trendDao.getWeekTrend();
            redisTemplate.opsForValue().set(key, weekTrend, 10, TimeUnit.MINUTES);
        }
        return weekTrend;
    }

    @Override
    public List<Integer> getMonthTrend() {
        String key = "month_trend";
        List<Integer> monthTrend = redisTemplate.opsForValue().get(key);
        if (monthTrend == null) {
            monthTrend = trendDao.getMonthTrend();
            redisTemplate.opsForValue().set(key, monthTrend, 10, TimeUnit.MINUTES);
        }
        return monthTrend;
    }

    @Override
    public List<Integer> getYearTrend() {
        String key = "year_trend";
        List<Integer> yearTrend = redisTemplate.opsForValue().get(key);
        if (yearTrend == null) {
            yearTrend = trendDao.getYearTrend();
            redisTemplate.opsForValue().set(key, yearTrend, 10, TimeUnit.MINUTES);
        }
        return yearTrend;
    }
}

**Dao层及Mapper：**

@Mapper
@Repository
public interface TrendDao {

    List<Integer> getWeekTrend();

    List<Integer> getMonthTrend();

    List<Integer> getYearTrend();
}

<mapper namespace="com.example.mapper.TrendMapper">

    <select id="getWeekTrend" resultType="java.lang.Integer" >
        select count(*) from prize where to_days(prize_time) = to_days(now()) - (weekday(now()) + 7) % 7;
    </select>

    <select id="getMonthTrend" resultType="java.lang.Integer" >
        select count(*) from prize where date_format(prize_time, '%Y-%m') = date_format(now(), '%Y-%m');
    </select>

    <select id="getYearTrend" resultType="java.lang.Integer" >
        select count(*) from prize where year(prize_time) = year(now());
    </select>

</mapper>

以上代码中，我们使用了Redis缓存，当访问量较大时，可以有效地减轻数据库的压力。此外，我们的SQL语句也比较简单，使用了MySQL的日期函数来计算中奖次数。