Redis actual combat search accessory store

Redis actual combat search accessory store (latitude and longitude)

a demand

### Second implementation

1. Load the store into redis GEOADD key longitude latitude member

 @Test
    void loadShopData() {
    
    
        // 1.查询店铺信息
        List<Shop> list = shopService.list();
        // 2.把店铺分组，按照typeId分组，typeId一致的放到一个集合
        Map<Long, List<Shop>> map = list.stream().collect(Collectors.groupingBy(Shop::getTypeId));
        // 3.分批完成写入Redis
        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.获取同类型的店铺的集合
            List<Shop> value = entry.getValue();
            List<RedisGeoCommands.GeoLocation<String>> locations = new ArrayList<>(value.size());
            // 3.3.写入redis GEOADD key 经度 纬度 member
            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);
        }
    }

2. Scroll through the pages to query the accessory store

 @Override
    public Result queryShopByType(Integer typeId, Integer current, Double x, Double y) {
    
    
        // 1.判断是否需要根据坐标查询
        if (x == null || y == null) {
    
    
            // 不需要坐标查询，按数据库查询
            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、按照距离排序、分页。结果：shopId、distance
        String key = SHOP_GEO_KEY + typeId;
        GeoResults<RedisGeoCommands.GeoLocation<String>> results = stringRedisTemplate.opsForGeo() // GEOSEARCH key BYLONLAT x y BYRADIUS 10 WITHDISTANCE
                .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 -> {
    
    
            // 4.2.获取店铺id
            String shopIdStr = result.getContent().getName();
            ids.add(Long.valueOf(shopIdStr));
            // 4.3.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
        return Result.ok(shops);
    }