redis实现附近商铺，实现签到，签到统计，UV统计

@Test
    void loadShopData()
    {
        // 1.查询店铺信息
        List<Shop> list = shopService.list();
        // 2.店铺分组
        Map<Long,List<Shop>> map =  list.stream().collect(Collectors.groupingBy(Shop::getTypeId));
        // 3.分批完成写入
        for(Map.Entry<Long ,List<Shop>> entry : map.entrySet()) {
            // 3.1获取类型id
            Long typeId = entry.getKey();
            String key = SHOP_GEO_KEY + typeId;
            // 3.2获取同类型的店铺集合
            List<Shop> value = entry.getValue();
            List<RedisGeoCommands.GeoLocation<String>> locations = new ArrayList<>(value.size());
            // 3.3写入redis
            for (Shop shop : value) {
//                stringRedisTemplate.opsForGeo().add(key,new Point(shop.getX(),shop.getY()),shop.getId().toString());
                locations.add(new RedisGeoCommands.GeoLocation<>(
                        shop.getId().toString(),
                        new Point(shop.getX(), shop.getY())
                ));
            }
            stringRedisTemplate.opsForGeo().add(key, locations);

        };
    }

 

@Override
    public Result queryShopByType(Integer typeId, Integer current, Double x, Double y) {
        // 1.判断是否要按坐标查询
        if(x ==null || y==null){
            // 根据类型分页查询
            Page<Shop> page = query()
                    .eq("type_id", typeId)
                    .page(new Page<>(current, SystemConstants.DEFAULT_PAGE_SIZE));
            // 返回数据
            return Result.ok(page.getRecords());
        }
        // 2.计算分页参数
        int from = (current - 1) * SystemConstants.DEFAULT_PAGE_SIZE;
        int end = current * SystemConstants.DEFAULT_PAGE_SIZE;

        // 3.查询redis 结果：shopId ,distance
        String key = CACHE_SHOP_KEY + typeId;
        GeoResults<RedisGeoCommands.GeoLocation<String>> results = stringRedisTemplate.opsForGeo()
                .search(key, GeoReference.fromCoordinate(x, y),
                        new Distance(5000),
                        RedisGeoCommands.GeoSearchCommandArgs.newGeoSearchArgs().includeDistance().limit(end)
                );
        // 4.解析出id
        if(results == null){
            return Result.ok(Collections.emptyList());
        }
        List<GeoResult<RedisGeoCommands.GeoLocation<String>>> list = results.getContent();
        if(list.size() <= from){
            //没有下一页了，结束
            return Result.ok(Collections.emptyList());
        }
        // 4.1截取from - end的部分
        List<Long> ids = new ArrayList<>(list.size());
        Map<String,Distance> distanceMap = new HashMap<>(list.size());
        list.stream().skip(from).forEach(result ->{
            // 获取店铺id
            String shopIdStr = result.getContent().getName();
            ids.add(Long.valueOf(shopIdStr));
            // 获取距离
            Distance distance = result.getDistance();
            distanceMap.put(shopIdStr, distance);
        });
        // 5.根据id查询Shop
        String idStr = StrUtil.join(",", ids);
        List<Shop> shops = query().in("id", ids).last("ORDER BY FIELD(id," + idStr + ")").list();
        for(Shop shop : shops){
            shop.setDistance(distanceMap.get(shop.getId().toString()).getValue());
        }
        // 6.返回结果
        return Result.ok(shops);
    }

@Override
    public Result sign() {
        // 1.获取当前登录用户
        Long userId = UserHolder.getUser().getId();
        // 2.获取日期
        LocalDateTime now = LocalDateTime.now();
        // 3.拼接key
        String keySuffix = now.format(DateTimeFormatter.ofPattern(":yyyyMM"));
        String key = USER_SIGN_KEY + userId + keySuffix;
        // 4.获取今天是本月的第几天
        int dayOfMonth = now.getDayOfMonth();
        // 5.写入redis
        stringRedisTemplate.opsForValue().setBit(key,dayOfMonth - 1,true);
        return Result.ok();
    }

    @Override
    public Result signCount() {
        // 1.获取当前登录用户
        Long userId = UserHolder.getUser().getId();
        // 2.获取日期
        LocalDateTime now = LocalDateTime.now();
        // 3.拼接key
        String keySuffix = now.format(DateTimeFormatter.ofPattern(":yyyyMM"));
        String key = USER_SIGN_KEY + userId + keySuffix;
        // 4.获取今天是本月的第几天
        int dayOfMonth = now.getDayOfMonth();
        // 5.获取本月截止今天为止所有的签到记录，返回十进制的数字
        List<Long> result = stringRedisTemplate.opsForValue().bitField(
                key, BitFieldSubCommands.create()
                        .get(BitFieldSubCommands.BitFieldType.unsigned(dayOfMonth)).valueAt(0)
        );
        if(result == null || result.isEmpty()){
            // 没有任何签到结果
            return Result.ok(0);
        }
        Long num = result.get(0);
        if(num == null || num == 0){
            return Result.ok(0);
        }
        // 6.循环遍历
        int count = 0;
        while(true) {
            // 6.1.让这个数字与1做与运算，得到最后一个bit位 // 判断这个bit位是否为0
            if((num & 1) == 0){
                // 如果为0 说明未签到
                break;
            }else {
                // 不为0 计数器加1
                count++;
            }
            // 数字右移，继续下一个bit位
            num >>>= 1;
        }
        return Result.ok(count);
    }

@Test
    void testHyperLogLog(){
        String[] values = new String[1000];
        int j = 0;
        for(int i = 0;i < 1000000;i++){
            j = i%1000;
            values[j] = "user_" + i;
            if(j == 999){
                // 发送到redis
                stringRedisTemplate.opsForHyperLogLog().add("hl2",values);
            }
        }
        // 统计数量
        Long count = stringRedisTemplate.opsForHyperLogLog().size("hl2");
        System.out.println("count = " + count);
    }