I have the following collection attached to aldeed:simple schema
Posts = new Mongo.Collection("posts");
Posts.attachSchema(new SimpleSchema({
samplePost:{
type:String,
max:500
},
createdAt:{
type: Date,
autoValue: function(){
return new Date()
}
},
"comments.$.reply":{
type:String
},
"comments.$.commentId":{
type: String,
autoValue: function(){
var tempCommentId = new Meteor.Colletion.ObjectID();
return tempCommentId.str;
}
},
"comments.$.commentCreatedAt": {
type: Date,
optional: true,
autoValue: function(){
return new Date()
}
},
});
The actual document looks like the following:
{
"_id": "aaa",
"samplePost": "Hello world!",
"comments": [
{
"reply": "Goodbye",
"commentId": "bbb",
"createdAt": "2016-06-19T19:06:17.931Z"
},
{
"reply": "Good morning",
"commentId": "ccc"
"createdAt": "2016-06-19T19:05:17.931Z"
},
]
}
Now im trying to remove only the 2nd comment with commentId:"ccc" from the document with $pull
"click #delete-comment": function(event, template){
var tempCommentId = $(event.target).parent().find('#commentIdPass').text(); //commentId is collected from HTML view
Posts.update(
{_id: template.data._id}, //_id is collected from the url param
{$pull:{
comments: {
commentId: tempCommentId
}}
});
},
and this is not working. I have narrowed down the problem to
"comments.$.commentCreatedAt": {
type: Date,
optional: true,
autoValue: function(){
return new Date()
}
},
schema. If i remove this schema, i can delete the comment.
So, why is this causing a problem of pulling the whole comment item from the array. Any ideas? Any workarounds?
Try This Query:
db.getCollection('Mytest').update({"_id":"aaa"},{"$pull":{"comments":{"commentId":"ccc"}}});
Found the problem. As I have suspected attached schema was the culprit. I needed to set a conditional for inserting and updating a schema with autovalue method. The schema should look as following:
"comments.$.commentCreatedAt": {
type: Date,
autoValue: function () {
if (this.isInsert) {
return new Date;
}
}
},
Related
I'm trying to add an element to an existing array, but it produces an error:
The field 'data' must be an array but is of type object in document
Scheme:
const testScheme = new Schema({
user: {
type: String,
required: true
},
data: [{
platform: {
type: String,
required: true
},
item_name: {
type: String,
required: true
},
price: {
type: Number,
default: 0
},
updatedAt: Date
}]
}, {
versionKey: false,
timestamps: true
});
Document in mongodb:
"data": [{
"price": 50,
"_id": "5a84268d6c78a60c10479437",
"platform": "pl1",
"item_name": "test"
}],
"_id": "5a841bccb44cb8cd5b974d71",
"user": "Ivan",
"updatedAt": "2018-02-14T12:07:41.793Z",
"createdAt": "2018-02-14T11:21:48.104Z"
Query:
var item = {
"platform": "pl700",
"item_name": "someText",
"price": 700,
"updatedAt": new Date()
};
Data.findOneAndUpdate({
'user': 'Ivan'
}, {
$push: {
'data': item
}
}, {
safe: true,
upsert: true
},
function(err, data) {
if (err) return res.status(500).send({
'error': err
});
res.status(200).send({
'data': data
});
}
);
I trying query with $set parametr and it works, but $push, $addToSet didn't work for me. Also i tried to google this problem and can't solve it.
It is not clear what you are intending to do.
To push an item into array you use $addToSet/$push. For updating a array you use $set.
Using $set you can update the whole document or you can update the specific field.
Update whole doc
Data.findOneAndUpdate({
'user': 'Ivan',
'data._id':item._id
}, {
$set: {
'data.$': item
}
}...
)
Update specific field
Data.findOneAndUpdate({
'user': 'Ivan',
'data._id':item._id
}, {
$set: {
'data.$.price': item.price
}
}...
)
I currently have the the collection "Plans" and it is made upon the creation of a form submit. It inserts the following:
Plans.insert({
location,
address,
date,
time,
notes,
createdAt: new Date(), // current time
owner: Meteor.userId(),
username: Meteor.user().username,
attendees: [
{
attender: [{
user: String,
attending: Boolean,
}],
},
],
});
Then, upon a click of a checkbox, I want a new attender object to be added to the attendees array. So far I have tried to do:
'click .notattending'() {
Plans.insert(
{_id: this._id,
attendees: [{
attender: [
{
user: Meteor.user().username,
attending: false,
}
],
}
]
},
);
},
However it isn't adding to the Mongo collection. Is this the correct way to go about doing it?
You can try this to based on your schema.
Plans.update({ _id: this._id }, {
$push: {
attendees: { user: "", attending: true },
},
});
I have a Quiz Model with array of Section and each Sections has array of reference to Question.
I want to populate Quiz with question.
QuizModel
var quizSchema = new Schema({
name: String,
code: Number,
creator: String,
createdBy: { type: Schema.Types.ObjectId, ref: 'user' },
section:[{
title: String,
questions: [{type: Schema.Types.ObjectId ,ref: 'question'}]
}],
createdOn: {type:Date, default:Date.now}
});
and questionModel
var questionSchema = new mongoose.Schema(
{
question: String,
answer: [String],
correct: Number,
createdOn: {type:Date, default:Date.now}
});
I have following the official mongoose documentation for populating
http://mongoosejs.com/docs/populate.html#deep-populate
My attempt
quizSchema.find({_id: quiz_id})
.populate({
path: 'section' ,
populate: {
path: 'section.questions',
model: 'questionSchema'
}
})
.exec( function (err, result) {
if (err) return done(err,null);
console.log("list of questions are" + result);
return done(err, result);
});
}
The output I am getting is list of question's id not the actual question.
{
"status": "success",
"message": "Quiz data",
"result": [
{
"_id": "57fd5912ec0ad6bc8b67d71c",
"name": "My Quiz",
"creator": "foo",
"__v": 0,
"code": 124,
"createdOn": "2016-10-11T21:26:42.774Z",
"section": [
{
"_id": "57fd7e82c20a2fe5da3ed569",
"questions": [
"57fd7f8560e98fe710878820",
"57fd7f9d60e98fe710878821",
"57fd81408b20dae9108d347c",
"57fd81408b20dae9108d347d",
"57fd826aea5159ea5ff2f1a9",
"57fd82ab0dbc0feaa753e50c",
"57fd82efd789afeb0353f036",
"57fd84b0fef6a2ed21fad5ae",
"57fd84cc5dab10ed471bcaf5",
"57fd84cd5dab10ed471bcaf6"
]
},
{
"title": "next section",
"_id": "57fff1e0f1913138c27e50a0",
"questions": [
"57fff242f1913138c27e50a1"
]
}
]
}
]
}
I think I am doing something wrong with populate field, but not sure .
Just alter your query to
quizSchema.find({_id: quiz_id})
.populate({
path: 'section.questions'
})
I have created the following Schema:
var mongoose = require('mongoose');
var Schema = mongoose.Schema;
var Player = require('./player');
var gameSchema = new Schema({
created_at: Date,
nrOfCards: String,
players: [{
sticks: String,
player: {
type: mongoose.Schema.Types.ObjectId,
ref: 'Player'
}
}],
});
var Game = mongoose.model('Game', gameSchema);
The saving part works fine and a saved object may look something like this:
"_id": "57dd11aca0c36114588fd250",
"nrOfCards": "3",
"__v": 0,
"players": [
{
"_id": "57d415e527c20f3ed2416e05",
"age": "33"
},
{
"_id": "57d417df2186d53f3d49c996",
"age": "73"
},
{
"_id": "57d41d85ec315d4234010c7d",
"age": "20"
}
]
},
After having saved an object I would like to have it returned with the player-field populated. Here is my attempt:
app.post('/api/games', function(req, res) {
Game.create({
players : req.body.activePlayers,
nrOfCards: req.body.nrOfCards,
}, function(err, game) {
if (err) {
res.send(err);
} else {
Game.findOne(game)
.populate('players.player')
.exec(function (err, newgame) {
if (err) return handleError(err);
console.log(newgame);
res.json(newgame);
});
}
});
});
Thinking that the .populate('players.player') should do the trick , but I'm receiving the unpopulated field containing the _id of player only.
Tips appreciated. Thanks!
Use
player: {
type: Schema.Types.ObjectId,
ref: 'Player'
}
into your schema.
How do I have autoincrement ids in mongoose? I want my ids to start like 1, 2, 3, 4, not the weird id numbers mongodb creates for you?
Here's my schema:
var PortfolioSchema = mongoose.Schema({
url: String,
createTime: { type: Date, default: Date.now },
updateTime: { type: Date, default: Date.now },
user: {type: Schema.Types.ObjectId, ref: 'User'}
});
Use mongoose-auto-increment:
https://github.com/codetunnel/mongoose-auto-increment
var mongoose = require('mongoose');
var autoIncrement = require('mongoose-auto-increment');
var connection = ....;
autoIncrement.initialize(connection);
var PortfolioSchema = new mongoose.Schema({
url: String,
createTime: { type: Date, default: Date.now },
updateTime: { type: Date, default: Date.now },
user: {type: Schema.Types.ObjectId, ref: 'User'}
});
//Auto-increment
PortfolioSchema.plugin(autoIncrement.plugin, { model: 'Portfolio' });
module.exports = mongoose.model('Portfolio', PortfolioSchema);
Or if you prefer to use an additional field instead of overriding _id, just add the field and list it in the auto-increment initialization:
var PortfolioSchema = new mongoose.Schema({
portfolioId: {type: Number, required: true},
url: String,
createTime: { type: Date, default: Date.now },
updateTime: { type: Date, default: Date.now },
user: {type: Schema.Types.ObjectId, ref: 'User'}
});
//Auto-increment
PortfolioSchema.plugin(autoIncrement.plugin, { model: 'Portfolio', field: 'portfolioId' });
If you want to have a incrementing numeric value in _id then the basic process is you are going to need something to return that value from a store somewhere. One way to do this is use MongoDB itself to store data that holds the counters for the _id values for each collection, which is described within the manual itself under Create and Auto-Incrementing Sequence Field.
Then as you create each new item, you use the implemented function to get that "counter" value, and use it as the _id in your document.
When overriding the default behavior here, mongoose requires that you both specify the _id and it's type explicitly with something like _id: Number and also that you tell it to no longer automatically try to supply an ObjectId type with { "_id": false } as an option on the schema.
Here's a working example in practice:
var async = require('async'),
mongoose = require('mongoose'),
Schema = mongoose.Schema;
mongoose.connect('mongodb://localhost/test');
var counterSchema = new Schema({
"_id": String,
"counter": { "type": Number, "default": 1 }
},{ "_id": false });
counterSchema.statics.getNewId = function(key,callback) {
return this.findByIdAndUpdate(key,
{ "$inc": { "counter": 1 } },
{ "upsert": true, "new": true },
callback
);
};
var sampleSchema = new Schema({
"_id": Number,
"name": String
},{ "_id": false });
var Counter = mongoose.model( 'Counter', counterSchema ),
ModelA = mongoose.model( 'ModelA', sampleSchema ),
ModelB = mongoose.model( 'ModelB', sampleSchema );
async.series(
[
function(callback) {
async.each([Counter,ModelA,ModelB],function(model,callback) {
model.remove({},callback);
},callback);
},
function(callback) {
async.eachSeries(
[
{ "model": "ModelA", "name": "bill" },
{ "model": "ModelB", "name": "apple" },
{ "model": "ModelA", "name": "ted" },
{ "model": "ModelB", "name": "oranage" }
],
function(item,callback) {
async.waterfall(
[
function(callback) {
Counter.getNewId(item.model,callback);
},
function(counter,callback) {
mongoose.model(item.model).findByIdAndUpdate(
counter.counter,
{ "$set": { "name": item.name } },
{ "upsert": true, "new": true },
function(err,doc) {
console.log(doc);
callback(err);
}
);
}
],
callback
);
},
callback
);
},
function(callback) {
Counter.find().exec(function(err,result) {
console.log(result);
callback(err);
});
}
],
function(err) {
if (err) throw err;
mongoose.disconnect();
}
);
For convience this implements a static method on the model as .getNewId() which just descriptively wraps the main function used in .findByIdAndUpdate(). This is a form of .findAndModify() as mentioned in the manual page section.
The purpose of this is that it is going to look up a specific "key" ( actually again the _id ) in the Counter model collection and perform an operation to both "increment" the counter value for that key and return the modified document. This is also aided with the "upsert" option, since if no document yet exists for the requested "key", then it will be created, otherwise the value will be incremented via $inc, and it always is so the default will be 1.
The example here shows that two counters are being maintained independently:
{ _id: 1, name: 'bill', __v: 0 }
{ _id: 1, name: 'apple', __v: 0 }
{ _id: 2, name: 'ted', __v: 0 }
{ _id: 2, name: 'oranage', __v: 0 }
[ { _id: 'ModelA', __v: 0, counter: 2 },
{ _id: 'ModelB', __v: 0, counter: 2 } ]
First listing out each document as it is created and then displaying the end state of the "counters" collection which holds the last used values for each key that was requested.
Also note those "weird numbers" serves a specific purpose of always being guranteed to be unique and also always increasing in order. And note that they do so without requiring another trip to the database in order to safely store and use an incremented number. So that should be well worth considering.