mongodb - MongoDB - $geoNear 和 includeLocs 在同一文档中有多个匹配项

Question

我有一个看起来像这样的集合：

Mongodb 采集数据：

/* 1 */
{
    "_id" : "X1255",
    "member" : {
        "id" : "X1255",
        "address" : [ 
            {
                "place" : "TEST1",
                "location" : {
                    "type" : "Point",
                    "coordinates" : [ 
                        -83.66403, 
                        31.02459
                    ]
                }
            }, 
            {
                "place" : "TEST2",
                "location" : {
                    "type" : "Point",
                    "coordinates" : [ 
                        -83.61883, 
                        31.54664
                    ]
                }
            }
        ]
    }
}

/* 2 */
{
    "_id" : "X30127",
    "member" : {
        "id" : "X30127",
        "address" : [ 
            {
                "place" : "TEST3",
                "location" : {
                    "type" : "Point",
                    "coordinates" : [ 
                        -83.61883, 
                        31.54664
                    ]
                }
            }
        ]
    }
}

member.address.location.coordinates 上有一个 2dsphere 索引。

Mongod geonear 查询的可选参数只返回一个坐标值。即使收集第一条和第二条记录具有相同的坐标值，查询也只返回一个子文档。但预期的结果是，当集合数据中有多个匹配坐标时，查询应该给出所有子文档。

MongoDB查询：

db.getCollection('test').aggregate([
{"$geoNear":{"near":{"type":"Point","coordinates":[-83.672608,32.0390586]},
"maxDistance":160934,"distanceField":"dist.distance",
"includeLocs":"dist.locs","spherical":true}},
{"$unwind":"$member.address"},
{"$project":{"member":{"$cond":[{"$and":[
{"$eq":["$member.address.location.coordinates","$dist.locs.coordinates"]}]},
"$member",[]]}}}
])

实际结果：

/* 1 */
{
    "_id" : "X1255",
    "member" : {
        "id" : "X1255",
        "address" : [ 
            {
                "place" : "TEST1",
                "location" : {
                    "type" : "Point",
                    "coordinates" : [ 
                        -83.66403, 
                        32.02459
                    ]
                }
            }
        ]
    }
}


/* 2 */
{
    "_id" : "X30127",
    "member" : {
        "id" : "X30127",
        "address" : [ 
            {
                "place" : "TEST3",
                "location" : {
                    "type" : "Point",
                    "coordinates" : [ 
                        -83.61883, 
                        31.54664
                    ]
                }
            }
        ]
    }
}

预期结果：

/* 1 */
{
    "_id" : "X1255",
    "member" : {
        "id" : "X1255",
        "address" : [ 
            {
                "place" : "TEST1",
                "location" : {
                    "type" : "Point",
                    "coordinates" : [ 
                        -83.66403, 
                        32.02459
                    ]
                }
            }
        ]
    }
}

/* 2 */
{
    "_id" : "X1255",
    "member" : {
        "id" : "X1255",
        "address" : [ 
            {
                "place" : "TEST2",
                "location" : {
                    "type" : "Point",
                    "coordinates" : [ 
                        -83.61883, 
                        31.54664
                    ]
                }
            }
        ]
    }
}

/* 3 */
{
    "_id" : "X30127",
    "member" : {
        "id" : "X30127",
        "address" : [ 
            {
                "place" : "TEST3",
                "location" : {
                    "type" : "Point",
                    "coordinates" : [ 
                        -83.61883, 
                        31.54664
                    ]
                }
            }
        ]
    }
}