【发布时间】:2018-01-27 08:40:17
【问题描述】:
我正在使用 MongoDB Aggregate 框架来查询用户集合。
这是以下用户架构布局的示例:
{
"_id" : ObjectId("XXXXXXXXXXXXXX367db"),
"updatedAt" : ISODate("2017-08-18T10:59:54.904Z"),
"createdAt" : ISODate("2017-08-18T10:59:54.904Z"),
"email" : "fake57@gmail.com",
"firstName" : "Tianna.",
"gender" : "male",
"geometry" : {
"coordinates" : [
-6.26119,
53.35247
],
"_id" : ObjectId("5996c8a9a4d84d3639c367dc"),
"type" : "point"
},
"age" : 25,
"personalAttributes" : [
"ksjdnksajdna",
"ksjdssacasca",
"xz12nksajdna",
"xz12nksaxxna",
"xz12nksaxxxx",
"xz12nwwzwwwa",
"xz12nkslkmna",
]
}
这是聚合管道中概述的步骤。
1:使用 $geoNear 运算符对指定距离内的用户进行地理定位。
2:根据性别匹配用户。
db.getCollection('users').aggregate([
{
"$geoNear": {
"near": {
"type": "Point",
"coordinates": [
-6.26030969999999,
53.3498053
]
},
"distanceField": "dist.calculated",
"spherical": true,
"maxDistance": 770000
}
},
{
"$match": {
"gender": "male"
}
}
])
我想要做的是传递另一个用户的个人属性数组并计算每个数组中匹配项的数量。它看起来像这样:
db.getCollection('users').aggregate([
{
"$geoNear": {
"near": {
"type": "Point",
"coordinates": [
-6.26030969999999,
53.3498053
]
},
"distanceField": "dist.calculated",
"spherical": true,
"maxDistance": 770000
}
},
{
"$match": {
"gender": "male"
}
},
{
"$project": {
"_id": 1,
"gender": 1,
"firstName": 1,
"profileImage": 1
"personalAttributesMatches": {
//Pass in the users personalAttributes Array and count the number of matches and return all the data.
}
}
}
}
])
预期输出为
/* 1 */
{
"_id" : ObjectId("5996c8aaa4d84d3639c36a61"),
"firstName" : "Sharon",
"gender" : "male",
"personalAttributesMatches": 15
}
/* 2 */
{
"_id" : ObjectId("5996c9c41daf273658715fcf"),
"firstName" : "Hilton",
"gender" : "male",
"personalAttributesMatches": 11
}
/* 3 */
{
"_id" : ObjectId("5996c6d66f8910361b8232b5"),
"firstName" : "Eliezer",
"gender" : "male",
"personalAttributesMatches": 7
}
对此的见解将不胜感激!
【问题讨论】:
标签: arrays mongodb mongoose mongodb-query aggregation-framework