mongoose填充多个文件不起作用？
以下是我的模特。 我想从碎片集合中填充数据到我的stream中。
stream：
var mongoose = require("mongoose"); var mongoosePaginate = require('mongoose-paginate'); var Schema = mongoose.Schema; // Declare schema var streamSchema = Schema({ user_id: { type: String, required: true }, public_key: { type: String }, private_key: { type: String }, title: { type: String, required: true }, description: { type: String, required: true }, particle: [{ type: Schema.Types.ObjectId, ref: 'Piece' }], created_at: { type: Date, default: Date.now, index: 1 // Note 1 }, }); streamSchema.plugin(mongoosePaginate); // Export schema // Model.paginate() mongoose.model("Stream", streamSchema); 片：
var mongoose = require("mongoose"); var mongoosePaginate = require('mongoose-paginate'); // Declare schema var pieceSchema = new mongoose.Schema({ stream_id: { type: String, required: true }, particle: { type: Object }, order: { type: Number, default: 1 }, entries_number: { type: Number, default: 0 }, last_entry_at: { type: Date }, created_at: { type: Date, default: Date.now, index: 1 // Note 1 }, }); pieceSchema.plugin(mongoosePaginate); // Export schema // Model.paginate() mongoose.model("Piece", pieceSchema);
我的查询：
Stream .findOne({ public_key: publicKey }) .select("-data -weather -location") .populate('particle', 'particle') // only return the particle .exec(function (err, stream) { if (err) return handleError(err); console.log(stream); });
结果：
{ _id: 580f69e0922112dd54a9f4e1, user_id: '579f52bc53d9e8cc14f504da', title: 'Dustbox 108', description: '....', public_key: 'HIGENfU96Hejy7y', private_key: 'RcWrwGaGpDVHO4WQ', alias: 'dustbox_108', __v: 0, created_at: 2016-10-25T14:19:12.008Z, particle: [] }
结果我在：
{ _id: 580f69e0922112dd54a9f4e1, user_id: '579f52bc53d9e8cc14f504da', title: 'Dustbox 108', description: '....', public_key: 'HIGENfU96Hejy7y', private_key: 'RcWrwGaGpDVHO4WQ', alias: 'dustbox_108', __v: 0, created_at: 2016-10-25T14:19:12.008Z, particle: [{ "timestamp" : [ 1490385416748.0, 1490385457814.0 ], "PM" : [ null, null ], "Particles" : [ "100", "100" ] }] }
可能吗？
这是Piece模型的示例文件：
{ "_id" : ObjectId("58d57a08b2541e37c7fe5827"), "stream_id" : "580f69e0922112dd54a9f4e1", "particle" : { "timestamp" : [ 1490385416748.0, 1490385457814.0 ], "PM" : [ null, null ], "Particles" : [ "100", "100" ] }, "created_at" : ISODate("2017-03-24T19:56:56.735Z"), "entries_number" : 2, "order" : 1, "__v" : 0, "last_entry_at" : ISODate("2017-03-24T19:57:37.814Z") }
有任何想法吗？
编辑：
最新产出：
... particle: [ { _id: 58d57a08b2541e37c7fe5827, particle: [Object] } ], ...
仍然不是我在找什么….
因为“粒子”字段是指子文档的一个字段，它本身就是一个对象，所以你必须在两个层次上进行填充。
.populate({ path: 'particle', populate: { path: 'piece.particle' } })
查看文档（ 在多个级别填充 ）： http : //mongoosejs.com/docs/populate.html