定义
geoShape如果在索引定义中将
indexShapes设置为true，则geoShape运算符支持查询与给定几何图形相关的形状。指定要搜索的坐标时，必须先指定经度，然后指定纬度。 经度值可以介于
-180和180之间，两者均包括在内。 纬度值可以介于-90和90之间，两者均包括在内。 坐标值可以是整数或双精度值。注意
MongoDB Search 不支持以下内容：
非默认坐标参考系 (CRS)
平面 XY 坐标系（二维）
坐标对 点表示法（即
pointFieldName: [12, 34]）
语法
1 { 2 "$search": { 3 "index": <index name>, // optional, defaults to "default" 4 "geoShape": { 5 "path": "<field-to-search>", 6 "relation": "contains | disjoint | intersects | within", 7 "geometry": <GeoJSON-object>, 8 "score": <score-options> 9 } 10 } 11 }
选项
geoShape 使用以下词条来构造查询：
字段 | 类型 | 说明 | 必要性 |
|---|---|---|---|
| GeoJSON 对象 | GeoJSON对象，用于指定要进行 的 Polygon 、 MultiPolygon 或 LineString Atlas Search形状或点。必须将多边形指定为闭环，其中最后一个位置与第一个位置相同。 计算地理空间结果时， MongoDB Search geoShape 和 geoWithin 操作符以及MongoDB $geoIntersects 操作符使用不同的几何图形。这种差异可以从MongoDB Search 和MongoDB绘制多边形边的方式看出。 MongoDB Search 根据笛卡尔距离绘制多边形，该距离是坐标参考系中两点之间的最短直线。 MongoDB使用基于2dsphere 索引的测地线模式绘制多边形，该索引构建在测地线类型第三方库之上，或者使用来自2d 索引的平面模式绘制多边形。要学习；了解详情，请参阅GeoJSON对象。 对于涉及多边形的地理空间查询， MongoDB Search 和MongoDB可能会返回不同的结果。 | 是 |
| 字符串或字符串数组 | 已索引的 geo 类型字段或要搜索的字段。 | 是 |
| 枚举 | 查询结构几何图形与索引字段几何图形的关系。值可以是以下之一：
| 是 |
| 对象 | 分配给匹配搜索结果的分数。 默认情况下，结果中的分数为
有关在查询中使用 | no |
示例
以下示例使用 sample_airbnb数据库中的 listingsAndReviews集合。如果集群上有示例数据集，则可以为地理类型创建自定义MongoDB搜索索引，并在集群上运行示例查询。MongoDB Search 快速入门包含有关加载示例数据集、创建索引定义和运行MongoDB Search 查询的说明。
以下是对listingsAndReviewscollection中的address.location字段进行索引的索引定义示例：
1 { 2 "mappings": { 3 "fields": { 4 "address": { 5 "fields": { 6 "location": { 7 "indexShapes": true, 8 "type": "geo" 9 } 10 }, 11 "type": "document" 12 }, 13 "property_type": { 14 "type": "token" 15 } 16 } 17 } 18 }
不相交示例
以下示例使用geoShape操作符搜索与指定的夏威夷经度和纬度坐标没有共同之处的属性。
查询包括：
1 db.listingsAndReviews.aggregate([ 2 { 3 "$search": { 4 "geoShape": { 5 "relation": "disjoint", 6 "geometry": { 7 "type": "Polygon", 8 "coordinates": [[[-161.323242,22.512557], 9 [-152.446289,22.065278], 10 [-156.09375,17.811456], 11 [-161.323242,22.512557]]] 12 }, 13 "path": "address.location" 14 } 15 } 16 }, 17 { 18 $limit: 3 19 }, 20 { 21 $project: { 22 "_id": 0, 23 "name": 1, 24 "address": 1, 25 score: { $meta: "searchScore" } 26 } 27 } 28 ])
{ "name" : "Ribeira Charming Duplex", "address" : { "street" : "Porto, Porto, Portugal", "suburb" : "", "government_area" : "Cedofeita, Ildefonso, Sé, Miragaia, Nicolau, Vitória", "market" : "Porto", "country" : "Portugal", "country_code" : "PT", "location" : { "type" : "Point", "coordinates" : [ -8.61308, 41.1413 ], "is_location_exact" : false } } } { "name" : "Horto flat with small garden", "address" : { "street" : "Rio de Janeiro, Rio de Janeiro, Brazil", "suburb" : "Jardim Botânico", "government_area" : "Jardim Botânico", "market" : "Rio De Janeiro", "country" : "Brazil", "country_code" : "BR", "location" : { "type" : "Point", "coordinates" : [ -43.23074991429229, -22.966253551739655 ], "is_location_exact" : true } } } { "name" : "Private Room in Bushwick", "address" : { "street" : "Brooklyn, NY, United States", "suburb" : "Brooklyn", "government_area" : "Bushwick", "market" : "New York", "country" : "United States", "country_code" : "US", "location" : { "type" : "Point", "coordinates" : [ -73.93615, 40.69791 ], "is_location_exact" : true } } }
相交示例
以下示例使用geoShape操作符搜索与西班牙的指定经度和纬度坐标相交的属性。
查询包括：
1 db.listingsAndReviews.aggregate([ 2 { 3 "$search": { 4 "geoShape": { 5 "relation": "intersects", 6 "geometry": { 7 "type": "MultiPolygon", 8 "coordinates": [ 9 [[[2.16942,41.40082], 10 [2.17963,41.40087], 11 [2.18146,41.39716], 12 [2.15533,41.40686], 13 [2.14596,41.38475], 14 [2.17519,41.41035], 15 [2.16942,41.40082]]], 16 [[[2.16365,41.39416], 17 [2.16963,41.39726], 18 [2.15395,41.38005], 19 [2.17935,41.43038], 20 [2.16365,41.39416]]] 21 ] 22 }, 23 "path": "address.location" 24 } 25 } 26 }, 27 { 28 $limit: 3 29 }, 30 { 31 $project: { 32 "_id": 0, 33 "name": 1, 34 "address": 1, 35 score: { $meta: "searchScore" } 36 } 37 } 38 ])
{ "name" : "Cozy bedroom Sagrada Familia", "address" : { "street" : "Barcelona, Catalunya, Spain", "suburb" : "Eixample", "government_area" : "el Fort Pienc", "market" : "Barcelona", "country" : "Spain", "country_code" : "ES", "location" : { "type" : "Point", "coordinates" : [ 2.17963, 41.40087 ], "is_location_exact" : true } } } { "name" : "", "address" : { "street" : "Barcelona, Catalunya, Spain", "suburb" : "Vila de Gràcia", "government_area" : "la Vila de Gràcia", "market" : "Barcelona", "country" : "Spain", "country_code" : "ES", "location" : { "type" : "Point", "coordinates" : [ 2.15759, 41.40349 ], "is_location_exact" : true } } } { "name" : "SPACIOUS RAMBLA CATALUÑA", "address" : { "street" : "Barcelona, Catalunya, Spain", "suburb" : "L'Antiga Esquerra de l'Eixample", "government_area" : "l'Antiga Esquerra de l'Eixample", "market" : "Barcelona", "country" : "Spain", "country_code" : "ES", "location" : { "type" : "Point", "coordinates" : [ 2.15255, 41.39193 ], "is_location_exact" : true } } }
示例内
以下示例使用geoShape操作符搜索纽约州位于指定经度和纬度坐标内的房产。 这些查询搜索sample_airbnb数据库的listingsAndReviews集合中的address.location字段。
查询包括：
基本搜索
以下查询返回与指定搜索条件匹配的文档。
1 db.listingsAndReviews.aggregate([ 2 { 3 "$search": { 4 "geoShape": { 5 "relation": "within", 6 "geometry": { 7 "type": "Polygon", 8 "coordinates": [[[-74.3994140625,40.5305017757], 9 [-74.7290039063,40.5805846641], 10 [-74.7729492188,40.9467136651], 11 [-74.0698242188,41.1290213475], 12 [-73.65234375,40.9964840144], 13 [-72.6416015625,40.9467136651], 14 [-72.3559570313,40.7971774152], 15 [-74.3994140625,40.5305017757]]] 16 }, 17 "path": "address.location" 18 } 19 } 20 }, 21 { 22 $limit: 3 23 }, 24 { 25 $project: { 26 "_id": 0, 27 "name": 1, 28 "address": 1, 29 score: { $meta: "searchScore" } 30 } 31 } 32 ])
{ "name" : "Private Room in Bushwick", "address" : { "street" : "Brooklyn, NY, United States", "suburb" : "Brooklyn", "government_area" : "Bushwick", "market" : "New York", "country" : "United States", "country_code" : "US", "location" : { "type" : "Point", "coordinates" : [ -73.93615, 40.69791 ], "is_location_exact" : true } }, { "name" : "New York City - Upper West Side Apt", "address" : { "street" : "New York, NY, United States", "suburb" : "Manhattan", "government_area" : "Upper West Side", "market" : "New York", "country" : "United States", "country_code" : "US", "location" : { "type" : "Point", "coordinates" : [ -73.96523, 40.79962 ], "is_location_exact" : false } }, "score" : 1 } { "name" : "Deluxe Loft Suite", "address" : { "street" : "Brooklyn, NY, United States", "suburb" : "Greenpoint", "government_area" : "Greenpoint", "market" : "New York", "country" : "United States", "country_code" : "US", "location" : { "type" : "Point", "coordinates" : [ -73.94472, 40.72778 ], "is_location_exact" : true } }, "score" : 1 }
元数据搜索
以下查询返回符合指定搜索条件的属性类型数量（例如公寓、房屋等）。
1 db.listingsAndReviews.aggregate([ 2 { 3 "$searchMeta": { 4 "facet": { 5 "operator": { 6 "geoShape": { 7 "relation": "within", 8 "geometry": { 9 "type": "Polygon", 10 "coordinates": [[[-74.3994140625,40.5305017757], 11 [-74.7290039063,40.5805846641], 12 [-74.7729492188,40.9467136651], 13 [-74.0698242188,41.1290213475], 14 [-73.65234375,40.9964840144], 15 [-72.6416015625,40.9467136651], 16 [-72.3559570313,40.7971774152], 17 [-74.3994140625,40.5305017757]]] 18 }, 19 "path": "address.location" 20 } 21 }, 22 "facets": { 23 "propertyTypeFacet": { 24 "type": "string", 25 "path": "property_type" 26 } 27 } 28 } 29 } 30 } 31 ])
[ { count: { lowerBound: Long('599') }, facet: { propertyTypeFacet: { buckets: [ { _id: 'Apartment', count: Long('486') }, { _id: 'House', count: Long('43') }, { _id: 'Townhouse', count: Long('24') }, { _id: 'Condominium', count: Long('19') }, { _id: 'Loft', count: Long('19') }, { _id: 'Guest suite', count: Long('2') }, { _id: 'Guesthouse', count: Long('2') }, { _id: 'Aparthotel', count: Long('1') }, { _id: 'Hostel', count: Long('1') }, { _id: 'Serviced apartment', count: Long('1') } ] } } } ]
查询结果显示指定坐标内的不同类型的属性。