摘要：不過這樣的順序?qū)τ谑褂没《炔樵?，很容易出錯(cuò)，即查詢要求順序是經(jīng)度緯度，即數(shù)據(jù)和參數(shù)都是這樣的順序。對于要指定之類的入?yún)r(shí)，使用非要注意單位換算對于使用查詢的時(shí)候，以及自動(dòng)設(shè)置，無需關(guān)心入?yún)挝晦D(zhuǎn)換。

        
            org.springframework.boot
            spring-boot-starter-data-mongodb
        

@Document(collection="coffeeShop")
public class CoffeeShop {

    @Id
    private String id;

    private String name;

    @GeoSpatialIndexed
    private double[] location;
    
    //....
    
}    

spherical為true則距離單位為空間弧度，false則距離單位為水平單位度

spherical為false，參數(shù)為公里數(shù)除以111

public GeoResults near2(double[] poi){
        NearQuery near = NearQuery
                .near(new Point(poi[0],poi[1]))
                .spherical(false)
                .num(1);
        GeoResults results = mongoTemplate.geoNear(near, CoffeeShop.class);
        return results;
    }

輸出

GeoResults: [averageDistance: 0.08294719588991498, results: GeoResult [content: com.codecraft.domain.CoffeeShop@747f6c5a, distance: 0.08294719588991498, ]]

不指定spherical,默認(rèn)為false，結(jié)果中的dis需要乘以111換算為km

public GeoResults near2(double[] poi){
        NearQuery near = NearQuery
                .near(new Point(poi[0],poi[1]))
                .spherical(false)
                .distanceMultiplier(111)
                .num(1);
        GeoResults results = mongoTemplate.geoNear(near, CoffeeShop.class);
        return results;
    }

輸出

GeoResults: [averageDistance: 9.207138743780563 org.springframework.data.geo.CustomMetric@28768e25, results: GeoResult [content: com.codecraft.domain.CoffeeShop@310d57b1, distance: 9.207138743780563 org.springframework.data.geo.CustomMetric@28768e25, ]]

即北京阿里綠地中心距離三里屯星巴克距離9km

若要設(shè)置最大距離，則

public GeoResults near2(double[] poi){
        NearQuery near = NearQuery
                .near(new Point(poi[0],poi[1]))
                .spherical(false)
                .maxDistance(5/111.0d)
                .distanceMultiplier(111)
                .num(1);
        GeoResults results = mongoTemplate.geoNear(near, CoffeeShop.class);
        return results;
    }

結(jié)果為空

需要數(shù)據(jù)存儲為(經(jīng)度,緯度)，不然報(bào)錯(cuò)

org.springframework.dao.DataIntegrityViolationException: Write failed with error code 16755 and error message "Can"t extract geo keys: { _id: ObjectId("58df9c50b45cbc069f6ff548"), _class: "com.codecraft.domain.CoffeeShop", name: "深圳市南山區(qū)星巴克(海岸城店)", location: [ 22.52395, 113.943442 ] }  can"t project geometry into spherical CRS: [ 22.52395, 113.943442 ]"; nested exception is com.mongodb.WriteConcernException: Write failed with error code 16755 and error message "Can"t extract geo keys: { _id: ObjectId("58df9c50b45cbc069f6ff548"), _class: "com.codecraft.domain.CoffeeShop", name: "深圳市南山區(qū)星巴克(海岸城店)", location: [ 22.52395, 113.943442 ] }  can"t project geometry into spherical CRS: [ 22.52395, 113.943442 ]"

    at org.springframework.data.mongodb.core.MongoExceptionTranslator.translateExceptionIfPossible(MongoExceptionTranslator.java:85)

使用

public GeoResults nearRadian(double[] poi){
        NearQuery near = NearQuery
                .near(new Point(poi[0],poi[1]))
                .spherical(true)
                .maxDistance(10,Metrics.KILOMETERS) //MILES以及KILOMETERS自動(dòng)設(shè)置spherical(true)
                .distanceMultiplier(6371)
                .num(1);
        GeoResults results = mongoTemplate.geoNear(near, CoffeeShop.class);
        return results;
    }

@Test
    public void testInitGeo() {
        //http://map.yanue.net/toLatLng/
        CoffeeShop shop1 = new CoffeeShop("深圳市南山區(qū)星巴克(海岸城店)",new double[]{113.943442,22.52395});
        CoffeeShop shop2 = new CoffeeShop("廣州市白云區(qū)星巴克(萬達(dá)廣場店)",new double[]{113.274643,23.180251});
        CoffeeShop shop3 = new CoffeeShop("北京市朝陽區(qū)星巴克(三里屯店)",new double[]{116.484385,39.923778});
        CoffeeShop shop4 = new CoffeeShop("上海市浦東新區(qū)星巴克(濱江店)",new double[]{121.638481,31.230895});
        CoffeeShop shop5 = new CoffeeShop("南京市鼓樓區(qū)星巴克(山西路店)",new double[]{118.788924,32.075343});
        CoffeeShop shop6 = new CoffeeShop("廈門市思明區(qū)星巴克(中華城店)",new double[]{118.089813,24.458157});
        CoffeeShop shop7 = new CoffeeShop("杭州市西湖區(qū)星巴克(杭州石函店)",new double[]{120.143005,30.280273});

        coffeeShopDao.save(Lists.newArrayList(shop1,shop2,shop3,shop4,shop5,shop6,shop7));

    }

    @Test
    public void testNear(){
        //經(jīng)度緯度
        double[] bjAli = new double[]{116.492644,40.006313};
        double[] szAli = new double[]{113.950723,22.558888};
        double[] shAli = new double[]{121.387616,31.213301};
        double[] hzAli = new double[]{120.033345,30.286398};
        Arrays.asList(bjAli,szAli,shAli,hzAli).stream().forEach(d -> {
            GeoResults results = locationService.nearRadian(d);
            System.out.println(results);
        });
    }

經(jīng)度、緯度的坐標(biāo)順序很容易搞錯(cuò)，x軸是緯度，軸是經(jīng)度，這也是Point定義的順序。不過這樣的順序?qū)τ谑褂没《萻pherical查詢，很容易出錯(cuò)，即spherical查詢要求順序是(經(jīng)度,緯度)，即數(shù)據(jù)和參數(shù)都是這樣的順序。

對于只需要取最近N個(gè)的場景，使用num即可；

要使用結(jié)果中的距離時(shí)，需要注意單位換算。

對于要指定maxDistance之類的入?yún)r(shí)，使用非spherical要注意單位換算；對于使用spherical查詢的時(shí)候，MILES以及KILOMETERS自動(dòng)設(shè)置spherical(true)，無需關(guān)心入?yún)挝晦D(zhuǎn)換。

另外，對于spherical與非spherical查詢，貌似沒啥區(qū)別，就是spherical在使用時(shí)入?yún)o需關(guān)心單位換算，稍微方便點(diǎn)。

mongo.geospatial

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