在猫鼬中存储坐标数组，然后检索相同的类型

Question

我有这个架构

 var mongoose = require('mongoose');

var fenceSchema = mongoose.Schema({
FenceID : {type: String},
loc :{
    type: {
        type: String,
    },
    coordinates: [mongoose.Schema.Types.Mixed]
}
,
created : {type: Date, default: Date.now}
});

var fences = mongoose.model('fence1',fenceSchema);
module.exports = fences;

但是，每当我使用此架构存储JSON时

var pointB = [[43.647228, -79.404012],[43.647869, -79.377363],[43.622821, -79.375429],[43.622082, -79.40385     7]];     
var post =  newFence1({ FenceID: "XSDF", loc :{type: 'Polygon', coordinates: pointB}});

当我尝试从数据库中检索文档时

newFence1.find({}).lean().exec(function(err,docs){
     console.log('docsss '+ JSON.stringify(docs));
     console.log ( 'coordinates'+docs[0].loc.coordinates);
}

docs [0] .loc.coordinates的形式与坐标数组不同，而是仅由逗号分隔的所有数字，例如从[[12,12]，[12,3]]到===> 12,12,12,13。 我如何确保它保持这种状态，因为我必须将那些结果传递给其他查询。

Answer 1

这似乎属于无法复制的范畴。 也许您可以考虑下面的完整清单示例，以查看实际代码中的实际差异所在：

mongoose.connect('mongodb://localhost/test');

var fenceSchema = new Schema({
  "loc": {
    "type": { "type": String },
    "coordinates": [Schema.Types.Mixed]
  },
  "created": { "type": Date, "default": Date.now }
});

var Fence = mongoose.model( 'Fence', fenceSchema );

var myPoly = [
  [43.647228, -79.404012],
  [43.647869, -79.377363],
  [43.622821, -79.375429],
  [43.622082, -79.403857]
];

var post = new Fence({
  "loc": {
    "type": "Polygon",
    "coordinates": myPoly
  }
});

console.log(
  "Before Save:\n%s", JSON.stringify( post, undefined, 4 ) );

post.save(function(err,doc) {
  if (err) throw err;

  console.log(
    "After Save:\n%s", JSON.stringify( doc, undefined, 4 ) );

  Fence.find({ "_id": doc._id },function(err,docs) {
    if (err) throw err;
    console.log(
      "When Found:\n%s",JSON.stringify( docs, undefined, 4 ) );
    process.exit();
  });

});

可能值得一提的是，以下表示法与“混合”类型完全相同，只是隐式表示“缺少”和已定义类型：

var fenceSchema = new Schema({
  "loc": {
    "type": { "type": String },
    "coordinates": []
  },
  "created": { "type": Date, "default": Date.now }
});

基本上，这提供了以下输出：

Before Save:
{
    "_id": "54605dd572dab34c6405a042",
    "created": "2014-11-10T06:40:21.020Z",
    "loc": {
        "type": "Polygon",
        "coordinates": [
            [
                43.647228,
                -79.404012
            ],
            [
                43.647869,
                -79.377363
            ],
            [
                43.622821,
                -79.375429
            ],
            [
                43.622082,
                -79.403857
            ]
        ]
    }
}
After Save:
{
    "__v": 0,
    "_id": "54605dd572dab34c6405a042",
    "created": "2014-11-10T06:40:21.020Z",
    "loc": {
        "type": "Polygon",
        "coordinates": [
            [
                43.647228,
                -79.404012
            ],
            [
                43.647869,
                -79.377363
            ],
            [
                43.622821,
                -79.375429
            ],
            [
                43.622082,
                -79.403857
            ]
        ]
    }
}
When Found:
[
    {
        "_id": "54605dd572dab34c6405a042",
        "__v": 0,
        "created": "2014-11-10T06:40:21.020Z",
        "loc": {
            "type": "Polygon",
            "coordinates": [
                [
                    43.647228,
                    -79.404012
                ],
                [
                    43.647869,
                    -79.377363
                ],
                [
                    43.622821,
                    -79.375429
                ],
                [
                    43.622082,
                    -79.403857
                ]
            ]
        }
    }
]