当前位置：首页 > wzjs >正文

网页游戏平台网站wordpress登录评论

wzjs 2025/9/7 18:33:42

网页游戏平台网站,wordpress登录评论,百度app 浏览器,wordpress特效主题免费先上结论 geo地理位置算出来是不准的实现思路 redis6.2支持了经纬度数据格式支持经纬度检索需要将redis升级否则会报错不支持命令 pom文件如果spring-data-redis是2.7.9的boot版本则要改一下支持geo: <dependency><groupId>org.springframework.boot</g…

先上结论

geo地理位置算出来是不准的

实现思路

redis6.2+支持了经纬度数据格式支持经纬度检索需要将redis升级否则会报错不支持命令
pom文件如果spring-data-redis是2.7.9的boot版本则要改一下支持geo:

<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-redis</artifactId><exclusions><exclusion><artifactId>spring-data-redis</artifactId><groupId>org.springframework.data</groupId></exclusion><exclusion><artifactId>lettuce-core</artifactId><groupId>io.lettuce</groupId></exclusion></exclusions></dependency><dependency><groupId>org.springframework.data</groupId><artifactId>spring-data-redis</artifactId><version>2.6.2</version></dependency><dependency><groupId>io.lettuce</groupId><artifactId>lettuce-core</artifactId><version>6.1.6.RELEASE</version></dependency>

redis的geo数据结构本质是一个zset有序集合 key就是坐标对应的业务数据 value就是坐标的hash值在这里可以将店铺分类id做为一个数据集的key 然后里面存店铺id和经纬度的集合查询时根据分类查出下面的店铺然后使用geosearch命令去检索出范围内的店铺

相关的redis命令

用于添加多个坐标 GEOADD

GEOADD key longitude latitude member [longitude latitude member ...]

用于根据经纬度检索并支持分页和测距 GEOSEARCH

GEOSEARCH key <FROMMEMBER member | FROMLONLAT longitude latitude><BYRADIUS radius <M | KM | FT | MI> | BYBOX width height <M | KM |FT | MI>> [ASC | DESC] [COUNT count [ANY]] [WITHCOORD] [WITHDIST][WITHHASH]

店铺表结构:

CREATE TABLE `tb_shop` (`id` bigint unsigned NOT NULL AUTO_INCREMENT COMMENT '主键',`name` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '商铺名称',`type_id` bigint unsigned NOT NULL COMMENT '商铺类型的id',`images` varchar(1024) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '商铺图片，多个图片以'',''隔开',`area` varchar(128) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci DEFAULT NULL COMMENT '商圈，例如陆家嘴',`address` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '地址',`x` double unsigned NOT NULL COMMENT '经度',`y` double unsigned NOT NULL COMMENT '维度',`avg_price` bigint unsigned DEFAULT NULL COMMENT '均价，取整数',`sold` int(10) unsigned zerofill NOT NULL COMMENT '销量',`comments` int(10) unsigned zerofill NOT NULL COMMENT '评论数量',`score` int(2) unsigned zerofill NOT NULL COMMENT '评分，1~5分，乘10保存，避免小数',`open_hours` varchar(32) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci DEFAULT NULL COMMENT '营业时间，例如 10:00-22:00',`create_time` timestamp NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',`update_time` timestamp NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',`open_start_time` time DEFAULT NULL COMMENT '开始营业时间',`open_end_time` time DEFAULT NULL COMMENT '结束营业时间',`is_deleted` tinyint(1) NOT NULL DEFAULT '0',PRIMARY KEY (`id`) USING BTREE,KEY `foreign_key_type` (`type_id`) USING BTREE,KEY `idx_is_deleted` (`is_deleted`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=16 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci ROW_FORMAT=COMPACT

先写个用例提前将店铺数据导入redis

@SpringBootTest
public class GEOLocationTest {@Resourceprivate StringRedisTemplate stringRedisTemplate;@Resourceprivate ShopMapper shopMapper;@Testpublic void insertShop() {List<Shop> all = shopMapper.findAll();Map<Long, List<Shop>> typeMap = all.stream().collect(Collectors.groupingBy(Shop::getTypeId));Set<Map.Entry<Long, List<Shop>>> entries = typeMap.entrySet();for (Map.Entry<Long, List<Shop>> entry : entries) {String key = "shop:geo:" + entry.getKey();// 店铺id就是zset的值 店铺经纬度的hash就是分数List<RedisGeoCommands.GeoLocation<String>> geoLocations = entry.getValue().stream().map(shop -> new RedisGeoCommands.GeoLocation<>(shop.getId().toString(), new Point(shop.getX().doubleValue(), shop.getY().doubleValue()))).collect(Collectors.toList());stringRedisTemplate.opsForGeo().add(key, geoLocations);}}
}

跑完redis就有数据了:
在这里插入图片描述
接口入参:

@GetMapping("/of/type")
public Result queryShopByType(@RequestParam("typeId") Integer typeId,@RequestParam(value = "current", defaultValue = "1") Integer current,@RequestParam(value = "x", required = false) Double x,@RequestParam(value = "y", required = false) Double y){List<Shop> shopList = shopService.queryShopByType(typeId, current, x, y);return Result.ok(shopList);
}

service方法:

@Override
public List<Shop> queryShopByType(Integer typeId, Integer current, Double x, Double y) {if (Objects.isNull(x) || Objects.isNull(y)) {// 没有传x, y 传统分页PageHelper.startPage(current, MAX_PAGE_SIZE);Page<Shop> shops = shopMapper.findByType(typeId);return shops;}// 如传了x,y 使用GEOSEARCH进行检索String key = "shop:geo:" + typeId;// 计算分页起始量long from = (current - 1) * MAX_PAGE_SIZE;long to = current * MAX_PAGE_SIZE;// 查询xy坐标500米内的素有店铺并返回它们之间的距离GeoResults<RedisGeoCommands.GeoLocation<String>> geoResults = stringRedisTemplate.opsForGeo().search(key,GeoReference.fromCoordinate(x, y),new Distance(500), // 默认单位是米RedisGeoCommands.GeoSearchCommandArgs.newGeoSearchArgs().includeDistance().limit(to) // 返回包含距离值);List<GeoResult<RedisGeoCommands.GeoLocation<String>>> content = geoResults.getContent();// 如果数据量不足起始值说明没有数据了 直接返回空if (content.size() <= from) {return Collections.emptyList();}// 拿到所有店铺id去查询店铺数据并设置距离值List<GeoResult<RedisGeoCommands.GeoLocation<String>>> list = content.stream().skip(from).collect(Collectors.toList());HashMap<Long, BigDecimal> distanceMap = new HashMap<>();for (GeoResult<RedisGeoCommands.GeoLocation<String>> geoLocationGeoResult : list) {String id = geoLocationGeoResult.getContent().getName(); // 获取存的店铺iddouble distance = geoLocationGeoResult.getDistance().getValue(); // 距离distanceMap.put(Long.valueOf(id), new BigDecimal(distance).setScale(2, BigDecimal.ROUND_HALF_UP));}List<Shop> shops = shopMapper.findByIds(distanceMap.keySet());for (Shop shop : shops) {shop.setDistance(distanceMap.get(shop.getId()));}return shops;
}