Schema({
name: String,
items: [{
body: String,
active: Boolean,
_id: mongoose.Schema.Types.ObjectId,
added: { type: Date, default: Date.now }
}],
date: { type: Date, default: Date.now }
});
I want to get the last item in 'items' with a 'name' where 'items.active' is true.
Tried many different configurations.. this is basically what i want to do:
List.find({ name: LIST_NAME, 'items.active': true }, { items: { $slice: -1 } }, function(err, result){...do stuff w/ result.body...});
Appreciate any help, thx.
Using Aggregation was ultimately the solution:
List.aggregate(
{ $match: { name: req.params.list }},
{ $unwind: '$items' },
{ $match: { 'items.active': true }},
{ $sort: { 'items.added': -1 }},
{ $limit: 1 }, function (err, result) {
if(err) {
res.status(500);
res.send(err);
} else {
console.log(result);
res.send(result[0].items.body);
}
});
Related
Using mongoose, I'm trying to make a query that searches for tasks where timeSpent is greater than timeBilled.
Task schema:
const myTaskSchema = new Schema({
date: { type: Date, default: Date.now },
timeSpent: { type: Number },
timeBilled: { type: Number }
})
The query I've tried:
myTaskSchema.aggregate([
{
$match: {
timeSpent: { $gt: '$timeBilled' }
}
}
])
.then(data => {
console.log(data)
})
But I'm getting zero results (I know there should be results)
NOTE: Not every task has a timeSpent or timeBilled.field if that matters.
here is my dirty solution. It'd be nice if I didnt have to add a field but this gets me where I want to be.
myTaskSchema.aggregate([
{
$addFields: {
needToBill: { $gt: ['$timeSpent', '$timeBilled'] }
}
},
{
$match: {
needToBill: true
}
},
{
$project: {
timeSpent: 1,
timeBilled: 1
}
}
])
I am trying to conditionally execute two different mongoose operators but it just return no error and doesn't work to update the document.
My Schema:
const CartSchema: Schema<Document<ICart>> = new Schema({
clientID: { type: String, required: true },
sourceID: { type: String, required: true },
items: { type: Array },
source: { type: String, required: true },
}, { collection: "carts", timestamps: true });
The way I am trying to implement that:
await CartModel.findOneAndUpdate(
{ sourceID: clientID, 'items.id': Types.ObjectId(itemID) },
{
$cond: {
if: {
$eq: 1,
},
then: { $pull: { 'items.$.id': Types.ObjectId(itemID) }},
else: { $inc: { 'items.$.amount': -1 }},
}
},
{ new: true }
).lean({ virtuals: true })
And I also tried to have this kind of query: { sourceID: clientID } but it didn't help. I thought maybe I could not find the element and it just silently pass through.
The main idea here of what I am gonna do is - have a conditional mongoose request where I'll either remove the object from the array if the current value in the field amount is equal to 1, or decrement the value to -1.
Apparently, the $cond operator works only in the aggregation framework but in my Atlas tier I cannot check if the query works properly, but I suppose it should look something like this:
await CartModel.aggregate([
{ $match: {
sourceID: clientID,
'items.id': Types.ObjectId(itemID)
}
},
{
$cond: {
if: {
$eq: 1,
},
then: { $pull: { 'items.$.id': Types.ObjectId(itemID) }},
else: { $inc: { 'items.$.amount': -1 }},
}
}
])
I have an image schema that has a reference to a category schema and a nested array that contains an object with two fields (user, createdAt)
I am trying to query the schema by a category and add two custom fields to each image in my query.
Here is the solution with virtual fields:
totalLikes: Count of all nested attributes
schema.virtual("totalLikes").get(function() {
return this.likes.length;
});
canLike: Check if user with id "5c8f9e676ed4356b1de3eaa1" is included in the nested array. If user is included it should return false otherwise true
schema.virtual("canLike").get(function() {
return !this.likes.find(like => {
return like.user === "5c8f9e676ed4356b1de3eaa1";
});
});
In sql it would be a simple SUBQUERY but I can't get it working in Mongoose.
Schema:
import mongoose from "mongoose";
const model = new mongoose.Schema(
{
category: {
type: mongoose.Schema.Types.ObjectId,
ref: "Category"
},
likes: [{
user: {
type: String,
required: true
},
createdAt: {
type: Date,
required: true
}
}]
})
here is a sample document:
[{
category:5c90a0777952597cda9e9c8d,
likes: [
{
_id: "5c90a4c79906507dac54e764",
user: "5c8f9e676ed4356b1de3eaa1",
createdAt:"2019-03-19T08:13:59.250+00:00"
}
]
},
{
category:5c90a0777952597cda9e9c8d,
likes: [
{
_id: "5c90a4c79906507dac54e764",
user: "5c8f9e676ed4356b1dw223332",
createdAt:"2019-03-19T08:13:59.250+00:00"
},
{
_id: "5c90a4c79906507dac54e764",
user: "5c8f9e676ed4356b1d8498933",
createdAt:"2019-03-19T08:13:59.250+00:00"
}
]
}]
Here is how it should look like:
[{
category:5c90a0777952597cda9e9c8d,
likes: [
{
_id: "5c90a4c79906507dac54e764",
user: "5c8f9e676ed4356b1de3eaa1",
createdAt:"2019-03-19T08:13:59.250+00:00"
}
],
totalLikes: 1,
canLike: false
},
{
category:5c90a0777952597cda9e9c8d,
likes: [
{
_id: "5c90a4c79906507dac54e764",
user: "5c8f9e676ed4356b1dw223332",
createdAt:"2019-03-19T08:13:59.250+00:00"
},
{
_id: "5c90a4c79906507dac54e764",
user: "5c8f9e676ed4356b1d8498933",
createdAt:"2019-03-19T08:13:59.250+00:00"
}
],
totalLikes: 2,
canLike: true
}]
Here is what I tried:
Resolver:
1) Tried in Mongoose call - Fails
const resources = await model.aggregate([
{ $match: {category: "5c90a0777952597cda9e9c8d"},
$addFields: {
totalLikes: {
$size: {
$filter: {
input: "$likes",
as: "el",
cond: "$$el.user"
}
}
}
},
$addFields: {
canLike: {
$match: {
'likes.user':"5c8f9e676ed4356b1de3eaa1"
}
}
}
}
])
2) Tried to change it after db call - works but not preferred solution
model.where({ competition: "5c90a0777952597cda9e9c8d" }).exec(function (err, records) {
resources = records.map(resource => {
resource.likes = resource.likes ? resource.likes: []
const included = resource.likes.find(like => {
return like.user === "5c8f9e676ed4356b1de3eaa1";
});
resource.set('totalLikes', resource.likes.length, {strict: false});
resource.set('canLike', !included, {strict: false});
return resource
});
})
Does anyone know how I can do it at runtime? THX
you can achieve it using aggregate
Model.aggregate()
.addFields({ // map likes so that it can result to array of ids
likesMap: {
$map: {
input: "$likes",
as: "like",
in: "$$like.user"
}
}
})
.addFields({ // check if the id is present in likesMap
canLike: {
$cond: [
{
$in: ["5c8f9e676ed4356b1de3eaa1", "$likesMap"]
},
true,
false
]
},
totalLikes: {
$size: "$likes"
}
})
.project({ // remove likesMap
likesMap: 0,
})
var PostSchema = new mongoose.Schema({
item: {
type: mongoose.Schema.ObjectId,
ref: 'item',
required: true
},
user: {
type: mongoose.Schema.ObjectId,
ref: 'User',
required: true
},
vote: {
type: Number,
default: 0
},
total: {
type: Number,
default: 0
},
awsPostKey: {type: String},
picture: {type: String, required: true}
});
var data = function(){
return Post
.find({})
.then(function(post){
return post;
})
};
var userId = //mongo objectId for current user
//postVote schema:
var PostVoteSchema = new mongoose.Schema({
post: {
type: mongoose.Schema.ObjectId,
ref: 'Post',
required: true
},
user: {
type: mongoose.Schema.ObjectId,
ref: 'User',
required: true
},
vote: {
type: Number,
default: 0
}
});
//pass data from Post query to PostVote sum function:
PostVoteSchema.statics.sum = function (data, userId) {
var postIds = data.map(function (a) {
return a._id;
});
return PostVote
.aggregate(
[
{ $match: { 'post': {$in: postIds}}},
{ $group: { _id:'$post' ,vote:{$sum:'$vote'}}}
])
.execAsync()
.then(function(votes){
return votes;
//desired output to client, _id is for specific post
{_id: 5802ea4bc00cb0beca1972cc, vote: 3, currentUserVote: -1}
});
};
I'm successfully able to get the total sum of all votes with the same postId.
Now, I"m wanting to see if the current user (userId) has placed a vote for the given post as well, then to return how they voted (+1 or -1) along with the sum of all votes for the specific post.
Is it possible to do this, or will I have to do this outside of my aggregate pipeline -- within a second query? It just seems potentially taxing to have to query the collection again.
Yes, that's possible. Within the $group pipeline, you can use the $cond operator as the logic for feeding the $sum accumulator operator. For example:
return PostVote.aggregate([
{ "$match": { "post": { "$in": postIds } } },
{
"$group": {
"_id": "$post",
"votes": { "$sum": "$vote" },
"userVotes": {
"$sum": {
"$cond": [
{ "$eq": ["$user", userId] },
"$vote",
0
]
}
}
}
}
]).execAsync().then(function(votes){
return votes;
});
I have the following structure:
var UserSchema = new Schema({
name: String,
email: { type: String, lowercase: true },
offers: [],
});
var OfferSchema = new Schema({
dateFrom: Date,
dateTill: Date,
destination: String,
budget: String,
currency: {},
dateCreated: {type: Date, default: Date.now}
});
I make an aggregations:
User.aggregate(
{ $project: {"offers": 1, _id: 0}},
{ $unwind: "$offers" },
{ $sort: {"offers.dateCreated": -1} },
function (err, result) {
if (!err) {
}
);
And the result is ok, but I want every element to include its parent fields (ex: _id and other fields).
How can I do it?
Just remove the $project stage:
User.aggregate(
{ $unwind: "$offers" },
{ $sort: {"offers.dateCreated": -1} },
function (err, result) {
if (!err) {
}
);