Question

我试图在子文档上进行geospacial查询。所以我有一个如下所示的父模式：

var orderSchema = new Schema({
//other properties
venue: {
    type: Schema.Types.ObjectId,
    ref: 'Venue',
}
)};

在我孩子的场地内＃39;我有架构：

location: {
    type: { type: String, default: "Point" },
    coordinates: [Number]
}

venueSchema.index({ "location": "2dsphere" });

我想要做的是直接查询我的订单架构以获得一些匹配条件，并在场地字段上执行$ geoWithin查询。我没有问题这个查询直接在子文档类上执行所以我假设这一切都正常工作，索引设置正确

Venue.find({location : {
        $geoWithin: {
            $geometry: {
                type: "Polygon",
                coordinates: boundry.geometry.coordinates
            }
        }
    }})

当我尝试从父类查询这些子文档时，订单＆＃39;我没有收到任何错误，只是没有匹配的结果：

Order.find({'venue.location' : {
        $geoWithin: {
            $geometry: {
                type: "Polygon",
                coordinates: boundry.geometry.coordinates
            }
        }
    }})

我没有从执行中得到任何反馈，所以我不确定这是不是支持还是我做错了。

我试图在没有运气的父项上索引子模式

orderSchema.index({ "venue.location": "2dsphere" })

修改家长我查询：

{
  "_id": "5937687f533b9627a4f3afb5",
  "updated_at": "2017-06-07T10:01:26.832Z",
  "created_at": "2017-06-07T02:44:15.561Z",
  "venue": {
    "_id": "586c8da780e0733e124c7710",
    "updated_at": "2017-01-12T22:21:36.190Z",
    "created_at": "2017-01-04T05:52:39.364Z",
    "location_name": "Pizza Shop",
    "location_phone": "(555) 555-555",
    "hours": "11am-12pm Mon - Sat",
    "__v": 0,
    "location": {
      "coordinates": [
        -79.9318376,
        40.4586607
      ],
      "type": "Point"
    },
    "device": {
      "device_type": null,
      "device_id": null
    }
  },
  "receipt_image": null,
  "time": {
    "accepted": "2017-06-07T02:44:20.859Z",
    "picked_up": null,
    "ready_time": null,
    "delivered": null,
    "placed_at": "2017-06-07T02:38:44.556Z"
  },

在＆＃39; boundry.geometry.coordinate＆＃39;传递的特定坐标是：

[ [ [ -79.99745935177826, 40.43637059697235 ],
[ -79.99773685003227, 40.43631191597255 ],
[ -79.99802046433027, 40.436308499735446 ],
[ -79.99829929553387, 40.4363604795451 ],
[ -79.99856262831626, 40.436465857846585 ],
[ -79.99880034294631, 40.436620585010864 ],
[ -79.9990033041841, 40.4368187149598 ],
[ -79.99916371234308, 40.43705263367056 ],
[ -79.99927540302765, 40.43731335177827 ],
[ -79.99933408402745, 40.43759085003227 ],
[ -79.99933750026456, 40.43787446433027 ],
[ -79.9992855204549, 40.438153295533866 ],
[ -79.99918014215342, 40.43841662831626 ],
[ -79.99902541498913, 40.438654342946315 ],
[ -79.99882728504019, 40.438857304184104 ],
[ -79.99859336632944, 40.43901771234308 ],
[ -79.99833264822173, 40.43912940302765 ],
[ -79.93227424822173, 40.46004010302765 ],
[ -79.93199674996772, 40.46009878402745 ],
[ -79.93171313566972, 40.46010220026456 ],
[ -79.93143430446612, 40.4600502204549 ],
[ -79.93117097168373, 40.45994484215342 ],
[ -79.93093325705368, 40.45979011498914 ],
[ -79.93073029581589, 40.459591985040205 ],
[ -79.93056988765692, 40.45935806632944 ],
[ -79.93045819697234, 40.45909734822173 ],
[ -79.93039951597254, 40.45881984996773 ],
[ -79.93039609973543, 40.45853623566973 ],
[ -79.93044807954509, 40.45825740446614 ],
[ -79.93055345784657, 40.45799407168374 ],
[ -79.93070818501086, 40.45775635705369 ],
[ -79.9309063149598, 40.4575533958159 ],
[ -79.93114023367055, 40.457392987656924 ],
[ -79.93140095177826, 40.457281296972354 ],
[ -79.99745935177826, 40.43637059697235 ] ] ]

MongoDb $ geoWithin查询子文档

0 个答案: