Let's say I have such a collection in mongoose I have such a template
[
{
id: 123,
"arrayvalue": [
{
id: 355,
name: "jhon",
job: true
},
{
id: 155,
name: "clarck",
job: false
},
{
id: 275,
name: "orie",
job: true
},
]
}
]
I am currently using nodejs express
All I want to do is get objects whose value is true only.
I want the output to be like this
[
{ id : 123,
"arrayvalue": [
{
"id": 355,
"job": true,
"name": "jhon"
},
{
"id": 275,
"job": true,
"name": "orie"
}
]
}
]
I searched in many places and could not find it, I hope it is necessary for the project. you can help
I use : "mongoose": "^5.12.2"
var obj ={
id : 123,
arrayvalue : [
{
id : 355,
name : "jhon",
job : true
},
{
id : 155,
name : "clarck",
job : false
},
{
id : 275,
name : "orie",
job : true
},
]
};
var response = {};
for (var i = 0; i < obj.arrayvalue.length; i++) {
if (obj.arrayvalue[i].job) {
response[i] = obj.arrayvalue[i];
}
}
console.log(response);
Option - 1
Demo - https://mongoplayground.net/p/z1BwqmFh7Nq
$unwind
$push
$group
$match
db.collection.aggregate([
{ $unwind: "$arrayvalue" }, // break into individual documents
{ $match: { "arrayvalue.job": true } }, // match query
{
$group: { // join the document back
_id: "$_id",
arrayvalue: { $push: "$arrayvalue"}
}
}])
Option - 2
if you want to do it in JS :-
const data = [{
id: 123,
"arrayvalue": [{
id: 355,
name: "jhon",
job: true
},
{
id: 155,
name: "clarck",
job: false
},
{
id: 275,
name: "orie",
job: true
},
]
}]
const arr = data.map((d) => {
if (d.arrayvalue) {
d.arrayvalue = d.arrayvalue.filter(e => e.job === true);
}
return d;
});
console.log(arr);
Related
My model
having this field :
canReview: [
{
status: {
type: Boolean
,
}
]
Records are :
[
{
_id: 1,
name: "aaaa",
canReview: [
{
status: true
},
{
status: false
},
{
status: false
}
]
},
{
_id: 2,
name: "abbb",
canReview: [
{
status: false
},
{
status: false
},
{
status: false
}
]
}
]
I want the result like only status true records from nested array too
I query like :
{canReview.status : true}
result :
[
{
"_id": 1,
"name": "aaaa",
"canReview": [
{
"status": true
}
],
}
]
nested array contains only records those status is true...
Need more details explanation.
Use $anyElementTrue
db.collection.find({
$expr: {
"$anyElementTrue": "$canReview.status"
}
})
Mongo Playground
the present Object is :-
{
_id: "abc12344",
renderId: '123456789',
concernTo: [{
name: 'vijay 4',
id: 'snhdkjn786786',
commons: []
},
{
name: 'ak',
id: 'sdkfg787877',
commons: []
}
]
}
Output needs to be like:
{
_id: "abc12344",
renderId: '123456789',
concernTo: [{
name: 'vijay 4',
id: 'snhdkjn786786',
commons: [{to: "xyz", from:"abc"}, {to: "xyz", from:"abc"}]
},
{
name: 'ak',
id: 'sdkfg787877',
commons: []
}
]
}
So need to push data in concernTo in commons field
In query i'm trying to search by renderId and id in "concernTo" array field and trying to update the object.
Query for that:---
let obj = { to: "xyz", from: "abc" };
let filter = {
renderId: "123456789",
"concernTo.id": "snhdkjn786786",
};
let update = {
$push: {
"concernTo.id.$": { subComment: obj },
},
};
let doc = await blogsCommentModel.findOneAndUpdate(filter, update, {
returnOriginal: false,
});
console.log(doc);
You want to be using arrayFilters for this, like so:
let doc = blogsCommentModel.findOneAndUpdate(filter,
{
"$push": {
"concernTo.$[elem].commons": obj
}
},
{
arrayFilters: [
{
"elem.id": "snhdkjn786786"
}
]
})
Mongo Playground
how you doing?
I have a trouble making a aggregation in my project, my aggregation result is different in Robo3T and Node.
db.getCollection('companies').aggregate([
{ '$match': { _id: { '$eq': ObjectId("5e30a4fe11e6e80d7fb544a4")} } },
{ $unwind: '$jobVacancies' },
{
$project: {
jobVacancies: {
_id: 1,
name: 1,
city: 1,
openingDate: 1,
closingDate: 1,
createdAt: 1,
quantity: 1,
steps: {
$filter: {
input: '$jobVacancies.steps',
as: 'step',
cond: {
$and: [
{ $eq: ['$$step.order', 0] },
{ $ne: ['$$step.users', undefined] },
{ $ne: ['$$step.users', null] },
{ $ne: ['$$step.users', []] },
],
},
},
},
},
},
},
{ $match: { 'jobVacancies.steps': { $ne: [] } } },
])
In Robo3T this is returning 1 object, but in Node (the same aggregation) is resulting 6 objects. Can you help me? Thank you
EDIT
Nodejs:
The first match create the ObjectId match for company in context of GraphQL based on my filter.
const companies = await this.MongoClient.db
.collection('companies')
.aggregate([
{
$match: await this.getFilterObject(
filters.filter(f => !f.field.includes('$$jobVacancy') && !f.field.includes('StepOrder')),
),
},
{ $unwind: '$jobVacancies' },
{
$project: {
jobVacancies: {
_id: 1,
name: 1,
city: 1,
openingDate: 1,
closingDate: 1,
createdAt: 1,
quantity: 1,
steps: {
$filter: {
input: '$jobVacancies.steps',
as: 'step',
cond: {
$and: [
{ $eq: ['$$step.order', order] },
{ $ne: ['$$step.users', undefined] },
{ $ne: ['$$step.users', null] },
{ $ne: ['$$step.users', []] },
],
},
},
},
},
},
},
{ $match: { 'jobVacancies.steps': { $ne: [] } } },
])
.toArray();
EDIT 3
This is the result of console.dir (with {depth:null}) of the pipeline
[
{
'$match': {
_id: {
'$eq': ObjectID {
_bsontype: 'ObjectID',
id: Buffer [Uint8Array] [
94, 48, 164, 254, 17,
230, 232, 13, 127, 181,
68, 164
]
}
}
}
},
{ '$unwind': '$jobVacancies' },
{
'$project': {
jobVacancies: {
_id: 1,
name: 1,
city: 1,
openingDate: 1,
closingDate: 1,
createdAt: 1,
quantity: 1,
steps: {
'$filter': {
input: '$jobVacancies.steps',
as: 'step',
cond: {
'$and': [
{ '$eq': [ '$$step.order', 0 ] },
{ '$ne': [ '$$step.users', undefined ] },
{ '$ne': [ '$$step.users', null ] },
{ '$ne': [ '$$step.users', [] ] }
]
}
}
}
}
}
},
{ '$match': { 'jobVacancies.steps': { '$ne': [] } } }
]
I think i found the solution, the document is created with properties:
jobVacancies: {
steps: {
users: []
}
}
But sometimes users array is undefined in mongodb, so I verify with
{ '$ne': [ '$$step.users', undefined ] }
I think JS undefined is different then mongodb undefined, so I initialized all steps with an empty array of users, and removed this verification and worked! –
I need to make a vote, it looks like an array of objects, look like the user’s ID and the value that he set.
If the user has already voted, but changed his value, you need to change the value of the rate in the array of objects for this user.
I need to make an array of objects into which data will be inserted like this {rate: 3, user: "asdr2r24f2f42f24"} and if the user has already voted in this array, then you need to change the value rate of the given user
I already tried to do something, but it seems to me you can write something better, can you help?
JSON https://jsoneditoronline.org/?id=442f1dae0b2d4997ac69d44614e55aa6
router.post('/rating', (req, res) => {
console.log(req.body)
// { id: 'f58482b1-ae3a-4d8a-b53b-ede80fe1e225',
// rating: 5,
// user: '5e094d988ddbe02020e13879' }
Habalka.find({
_id: req.body.id
})
.then(habalka => {
// here I need to check whether the user has already voted or not, and from this whether to add an object with it or update the number
Habalka.updateOne(
{_id: req.body.id},
{$push: {rating: {rate: req.body.rating, user: req.body.user}}}
)
.then(e => {
console.log(e)
})
});
});
Schema
const mongoose = require('mongoose');
const Schema = mongoose.Schema;
const HabalkaSchema = new Schema({
_id: {
type: String
},
bio: {
firstname: String,
lastname: String,
middlename: String,
company: String
},
rating: [
],
files: [
{
_id: {
type: String
},
destination: {
type: String
},
filename: {
type: String
},
path: {
type: String
},
folder: {
type: String
},
info: {
size: {
type: Number
},
mimetype: {
type: String
},
encoding: {
type: String
},
originalname: {
type: String
},
fieldname: {
type: String
},
},
date: {
type: Date,
default: Date.now
},
bio: {
type: Object
},
userId: String,
guessId: {},
}
],
date: {
type: Date,
default: Date.now
}
});
module.exports = Habalka = mongoose.model('habalka', HabalkaSchema);
This is an aggregation query which inserts a new user or updates the rating of existing user in the rating array:
The req.body.id, req.body.user and req.body.rating are set as follows for the example code:
var ID = 1, INPUT_USER = "new user", INPUT_RATE = 5;
const matchStage = { $match: { _id: ID } };
const facetStage = {
$facet: {
new_user: [
{ $match: { "rating.user": { $not: { $eq: INPUT_USER } } } },
{ $addFields: { rating: { $concatArrays: [ "$rating", [ { user: "new user", rate: INPUT_RATE } ] ] } } },
],
user: [
{ $match: { "rating.user": INPUT_USER } },
{ $addFields: {
rating: {
$map: {
input: "$rating",
as: "r",
in: {
$cond: [ { $eq: [ "$$r.user", INPUT_USER ] },
{ user: "$$r.user", rate: { $add: [ "$$r.rate", INPUT_RATE ] } },
"$$r"
]
}
}
}
} }
]
}
};
const projectStage = {
$project: {
result: { $arrayElemAt: [ { $concatArrays: [ "$user", "$new_user" ] }, 0 ] }
}
};
const queryPipeline = [
matchStage,
facetStage,
projectStage
];
// Run the aggregation query and get the modified document
// after applying the user and rate data in the rating array.
// The result of the aggregation is used to update the collection.
col.aggregate(queryPipeline).toArray( ( err, docs ) => {
console.log("Aggregation output:");
console.log( JSON.stringify( docs[0] ) );
// Update the aggregate result to the collection.
col.updateOne( { _id: docs[0].result._id },
{ $set: { rating: docs[0].result.rating } },
( err, updateResult ) => {
console.log( 'Updated count: ', updateResult.matchedCount );
}
);
callback(docs);
} );
Example collection document:
{ "_id" : 1, "rating" : [ { "user" : "user1", "rate" : 2 } ] }
If the input is var ID = 1, INPUT_USER = "new user", INPUT_RATE = 5; the updated document will be:
{ "_id" : 1, "rating" : [ { "user" : "user1", "rate" : 2 }, { "user" : "new user", "rate" : 5 } ] }
If the input is var ID = 1, INPUT_USER = "user1", INPUT_RATE = 5; the updated document will be:
{ "_id" : 1, "rating" : [ { "user" : "user1", "rate" : 7 } ] }
Let's say I have an array of Movie genres like so:
[
{ id: 28, name: 'Action' },
{ id: 12, name: 'Adventure' },
{ id: 16, name: 'Animation' },
{ id: 35, name: 'Comedy' },
{ id: 80, name: 'Crime' },
{ id: 99, name: 'Documentary' },
{ id: 18, name: 'Drama' },
{ id: 10751, name: 'Family' },
{ id: 14, name: 'Fantasy' },
{ id: 10769, name: 'Foreign' },
{ id: 36, name: 'History' },
{ id: 27, name: 'Horror' },
{ id: 10402, name: 'Music' },
{ id: 9648, name: 'Mystery' },
{ id: 10749, name: 'Romance' },
{ id: 878, name: 'Science Fiction' },
{ id: 10770, name: 'TV Movie' },
{ id: 53, name: 'Thriller' },
{ id: 10752, name: 'War' },
{ id: 37, name: 'Western' }
]
and I have a connection to a MongoDB (v3.2) instance: db, and I'm using the standard mongodb Node.js driver (const mongodb = require('mongodb').MongoClient).
What I want to be able to do is one bulk upsert operation onto a collection, say genres, where the _id field maps to the id field of our genre objects.
Now, I know I could loop through each item in the array, and do a simple upsert:
for (let i = 0; i < genres.length; i++) {
await db.collection('genres').update(
{ _id: genres[i].id },
genres[i],
{ upsert: true }
);
}
But this feels wasteful and wrong.
Is there an easier way to do what should be a relatively simple task?
Thanks
Use the bulkWrite API to carry out the updates:
var bulkUpdateOps = genres.map(function(doc) {
return {
"updateOne": {
"filter": { "_id": doc.id },
"update": { "$set": { "name": doc.name } },
"upsert": true
}
};
});
db.collection('genres').bulkWrite(bulkUpdateOps, function(err, r) {
// do something with result
})
If you're dealing with larger arrays i.e. > 1000 then consider sending the writes to the server in batches of 500 which gives you a better performance as you are not sending every request to the server, just once in every 500 requests:
var bulkUpdateOps = [],
counter = 0;
genres.forEach(function(doc) {
bulkUpdateOps.push({
"updateOne": {
"filter": { "_id": doc.id },
"update": { "$set": { "name": doc.name } },
"upsert": true
}
});
counter++;
if (counter % 500 == 0) {
db.collection('genres').bulkWrite(bulkUpdateOps, function(err, r) {
// do something with result
});
bulkUpdateOps = [];
}
})
if (counter % 500 != 0) {
db.collection('genres').bulkWrite(bulkUpdateOps, function(err, r) {
// do something with the result
});
}
I would try:
db.collection('genres').update(genres, {upsert: true, multi: true});
Note: untested code...
UPDATE: to remap id field to _id:
var _genres = genres.map(function(genre) {
return { _id: genre.id, name: genre.name };
});
db.collection('genres').update(_genres, {upsert: true, multi: true});