Springboot使用Redis的Geo或使用set

　　org.gavaghan
　　geodesy
　　1.1.3

//    计算坐标相差距离
    public static void main(String[] args) {
        //纬度，经度
        GlobalCoordinates source  = new GlobalCoordinates(29.490295, 106.486654);
        GlobalCoordinates target = new GlobalCoordinates(29.615467, 106.581515);
//        Ellipsoid.Sphere     Ellipsoid.WGS84      坐标系
        //创建GeodeticCalculator，调用计算方法，传入坐标系、经纬度用于计算距离
        GeodeticCurve geoCurve = new GeodeticCalculator().calculateGeodeticCurve(Ellipsoid.Sphere,source, target);
        double ellipsoidalDistance = geoCurve.getEllipsoidalDistance();
        System.out.println("坐标系计算结果 : " +ellipsoidalDistance + "米");
    }

添加坐标到Redis

        HashMap points  = new HashMap<>();
        //(lng,lat) 经纬度
        points.put("tianjin", new Point(117.12, 39.08));
        points.put("shijiazhuang", new Point(114.29, 38.02));
        redisTemplate.boundGeoOps("zhk").add(points);

添加单个坐标到redis中

       //城市   经，纬
        RedisGeoCommands.GeoLocation tianjin = new RedisGeoCommands.GeoLocation<>(
                "tianjin", new Point(117.12, 39.08));
        redisTemplate.opsForGeo().add("zhk",tianjin);
        //或者
        Point point =  new Point(117.12, 39.08)
        redisTemplate.opsForGeo().add("zhk", point,"tianjin");

查询附近100km的坐标

 //查找附近坐标   以 Point point = new Point(115.03, 38.44);为标准 
 
//        Circle对象是封装覆盖的面积,需要的要素为中心点坐标Point对象、半径（radius）、计量单位（metric）
        Point point = new Point(115.03, 38.44);
        Metric metric = RedisGeoCommands.DistanceUnit.KILOMETERS;
        Distance distance = new Distance(100, metric);
        Circle circle = new Circle(point, distance);

        RedisGeoCommands.GeoRadiusCommandArgs args = RedisGeoCommands
                .GeoRadiusCommandArgs
                .newGeoRadiusArgs()
                .includeDistance()
                .includeCoordinates()
                .sortAscending()
                .limit(10);
        GeoResults> radius = redisTemplate.opsForGeo()
                .radius("zhk", circle, args);
        if (radius != null) {
            radius.forEach(geoLocationGeoResult -> {
                RedisGeoCommands.GeoLocation content = geoLocationGeoResult.getContent();
                //member 名称  如  tianjin
                String name = content.getName();
                System.out.println(name);
                // 对应的经纬度坐标
                Point pos = content.getPoint();
                System.out.println(pos);
                // 距离中心点的距离
                Distance dis = geoLocationGeoResult.getDistance();
                System.out.println(dis);
            });
        }

获取某个城市之间10000km的城市名字 包括当前城市名字

       //获取某个城市附近100km的范围
        Distance distance = new Distance(10000, Metrics.KILOMETERS);
        //可在distance后，加如上述args 
        GeoResults> radius = redisTemplate.opsForGeo().radius("zhk", "tianjin", distance);
        radius.forEach(
                geoLocationGeoResult -> {
                    RedisGeoCommands.GeoLocation content = geoLocationGeoResult.getContent();
                    String name = content.getName();
                    System.out.println(name);
                }
        );

删除元素

redisTemplate.boundZSetOps("zhk").remove("tianjin");

获取定位城市的坐标

        List position = redisTemplate.opsForGeo().position("zhk", "tianjin");
        position.forEach(System.out::println);

获取两个城市的距离

       //获取两个城市之间的距离
        //米
        double value = redisTemplate.opsForGeo().distance("zhk", "tianjin", "shijiazhuang").getValue();
        //km
        double value1 = redisTemplate.opsForGeo().distance("zhk", "tianjin", "shijiazhuang", Metrics.KILOMETERS).getValue();

获取geohash值

        //我们把每个人的经纬度都转换成geohash,
        // 根据geohash选择周围的事物距离，比如截取geohash前5位，
        // 进行对比，前五位全部相同，说明这些geohash距离是2.4公里以内的（微信的附近人最远就是2.5公里，估计也是这个东西搞出来的）
        //4位20KM
        //5位2.4KM
        //6位0.61KM
        //7位0.076KM
        //8位0.019KM
        redisTemplate.opsForGeo().hash("zhk", Arrays.asList("tianjin", "shijiazhuang", "xxx").toArray(new String[3])).forEach(
                System.out::println
        );

//添加
redisTemplate.opsForSet().add("keyname", "1000")
//是否包含  返Boolean
redisTemplate.opsForSet().isMember("keyname", "1000")