I'm trying to create a pipeline to add a field based in a condition:
I have a field called helpful which is an array that will contain a list of id's, what I want to do is add a field depending if a given ID is insided that array
an example of the data structure may be this:
{
helpful: [ 5ecd62230a180f0017dc5342 ],
verifiedPurchase: false,
_id: 5f789010e07e4033342c7307,
title: 'text',
body: 'text',
rating: 3,
user: {
_id: 5ecd62230a180f0017dc5342,
name: 'store11',
picture: 'pictureurl'
},
replies: [],
updatedAt: 2020-10-03T18:04:48.026Z,
createdAt: 2020-10-03T14:52:00.410Z,
helpfulCount: 1,
helpfulForMe: false
},
I already tried with this pipeline
{
$addFields:{
helpfulForMe: {
$cond: {
if: {"$in":[user, "$helpful"] } ,
then: true,
else: false,
}
}
}
},
and this one
"$addFields": {
"helpfulForMe" : {
"$in":[
['5ecd62230a180f0017dc5342'], "$helpful"
]
}
}
},
but both returned false even when I set a matching ID
I hope to get a good fix from you guys. Thanks
You can try if your input is array of ids,
$reduce to iterate loop of helpful array and check condition if id in user array then return true otherwise false
let user = ["5ecd62230a180f0017dc5342"];
{
$addFields: {
helpfulForMe: {
$reduce: {
input: "$helpful",
initialValue: false,
in: {
$cond: [{ $in: ["$$this", user] }, true, "$$value"]
}
}
}
}
}
Playground
Related
I have a Schema that holds an array of objects for comments and I would like to update the boolean value of the flagged comments accordingly, I have tried updateOne and aggregate but it isn't working out at this point, I have also tried to use $elemMatch but it isn't working.
The comment _id is being pulled from the front end element that has an ID that is the same as the id that needs to be pulled from MongoDB.
Comments Array within the question Schema:
comments: [
{
user: {
type: Object,
},
commentDate: {
type: Date,
default: Date.now()
},
flagged: {
type: Boolean,
default: false
},
flaggedDate:{type: Date},
comment: String,
}
],
function I tried to run last.
const id = req.params.id
const updateFlag = Question.updateOne(
{
comments: [
{
_id: id
}
]
},
{
$set: {
comments: [
{
flagged: req.body.flagged
}
]
}
}
)
Any help would be appreciated!
You can do it with positional operator - $:
db.collection.update({
"comments._id": "3"
},
{
"$set": {
"comments.$.flagged": true
}
})
Working example
So I tried several ways, but I can't, I can modify several objects with the same key but I can't modify any with different keys, if anyone can help me is quite a complex problem
{
id: 123,
"infos": [
{ name: 'Joe', value: 'Disabled', id: 0 },
{ name: 'Adam', value: 'Enabled', id: 0 }
]
};
In my database I have a collection with an array and several objects inside which gives this.
I want to modify these objects, filter by their name and modify the value.
To give you a better example, my site returns me an object with the new data, and I want to modify the database object with the new object, without clearing the array, the name key never changes.
const object = [
{ name: 'Joe', value: 'Hey', id: 1 },
{ name: 'Adam', value: 'None', id: 1 }
];
for(const obj in object) {
Schema.findOneAndUpdate({ id: 123 }, {
$set: {
[`infos.${obj}.value`]: "Test"
}
})
}
This code works but it is not optimized, it makes several requests, I would like to do everything in one request, and also it doesn't update the id, only the value.
If anyone can help me that would be great, I've looked everywhere and can't find anything
My schema structure
new Schema({
id: { "type": String, "required": true, "unique": true },
infos: []
})
I use the $addToSet method to insert objects into the infos array
Try This :
db.collection.update({
id: 123,
},
{
$set: {
"infos.$[x].value": "Value",
"infos.$[x].name": "User"
}
},
{
arrayFilters: [
{
"x.id": {
$in: [
1
]
}
},
],
multi: true
})
The all positional $[] operator acts as a placeholder for all elements in the array field.
In $in you can use dynamic array of id.
Ex :
const ids = [1,2,..n]
db.collection.update(
//Same code as it is...
{
arrayFilters: [
{
"x.id": {
$in: ids
}
},
],
multi: true
})
MongoPlayGround Link : https://mongoplayground.net/p/Tuz831lkPqk
Maybe you look for something like this:
db.collection.update({},
{
$set: {
"infos.$[x].value": "test1",
"infos.$[x].id": 10,
"infos.$[y].value": "test2",
"infos.$[y].id": 20
}
},
{
arrayFilters: [
{
"x.name": "Adam"
},
{
"y.name": "Joe"
}
],
multi: true
})
Explained:
You define arrayFilters for all names in objects you have and update the values & id in all documents ...
playground
I have a collection which contain data's like this:
[{
_id: a,
createdAt: "2020-11-10",
createdBy: "test#test.com",
features: {
first: true,
second: true
}},{
_id: b,
createdAt: "2020-11-10",
createdBy: "test#test.com",
features: {
first: false,
second: true
}}]
I would like to insert a new feature: third: true
db.collection.update( { _id:...} , { $set: { features.third : true } }
My questions is, is that possible to insert a new line for one of this feature and at the same time when the mongodb is see that there is a field like "third" and the value is true, than mongodb is generated a new field (featureConfig) automaticly which value is an empty string?
so the expected value is :
{
_id: b,
createdAt: "2020-11-10",
createdBy: "test#test.com",
features: {
first: false,
second: true,
third: true
},
featureConfig: "",
}
Any help would be appreciated.
Try this query and check if it work as expected (example)
This is the query:
db.collection.aggregate([
{
"$match": {
"id": 1
}
},
{
"$set": {
"features.third": true
}
},
{
"$project": {
"features": 1,
"featureConfig": {
"$cond": {
"if": "$features.third",
"then": "",
"else": "$false"
}
}
}
}
])
The two initial stages are the same that you have, filter to match by id and set the value. Then I've used $project to create a field featureConfig based in a condition. If the features.third value is true, then create the field, otherwise not.
Background:
A customer is an object that has a name field.
A line is an object that has the following fields:
inLine - an array of customers
currentCustomer - a customer
processed - an array of customers
The collection 'line' contains documents that are line objects.
Problem:
I'm trying to implement a procedure which would do the following:
Push currentCustomer to processed
Set currentCustomer to the 1st element in inLine
Pop the 1st element of inLine
Since the new value of a field depends on the previous value of another, atomicity is important here.
What I tried so far:
Naive approach
db.collection('line').findOneAndUpdate({
_id: new ObjectId(lineId),
}, {
$set: {
currentCustomer: '$inLine.0',
},
$pop: {
inLine: -1,
},
$push: {
processed: '$currentCustomer',
},
});
However, currentCustomer is set to a string which is literally "$inLine.0" and processed has a string which is literally "$currentCustomer".
Aggregation approach
db.collection('line').findOneAndUpdate({
_id: new ObjectId(lineId),
}, [{
$set: {
currentCustomer: '$inLine.0',
},
$pop: {
inLine: -1,
},
$push: {
processed: '$currentCustomer',
},
}]);
However, I got the following error:
MongoError: A pipeline stage specification object must contain exactly one field.
Multi-stage aggregation approach
db.collection('line').findOneAndUpdate({
_id: new ObjectId(lineId),
}, [{
$set: {
currentCustomer: '$inLine.0',
},
}, {
$pop: {
inLine: -1,
},
}, {
$push: {
processed: '$currentCustomer',
},
}]);
However, $pop and $push are Unrecognized pipeline stage names.
I tried making it using only $set stages, but it ended up very ugly and I still couldn't get it to work.
Based on turivishal's answer, it was solved like so:
db.collection('line').findOneAndUpdate({
_id: new ObjectId(lineId),
}, [{
$set: {
// currentCustomer = inLine.length === 0 ? null : inLine[0]
currentCustomer: {
$cond: [
{ $eq: [{ $size: '$inLine' }, 0] },
null,
{ $first: '$inLine' },
],
},
// inLine = inLine.slice(1)
inLine: {
$cond: [
{ $eq: [{ $size: '$inLine' }, 0] },
[],
{ $slice: ['$inLine', 1, { $size: '$inLine' }] },
],
},
// if currentCustomer !== null then processed.push(currentCustomer)
processed: {
$cond: [
{
$eq: ['$currentCustomer', null],
},
'$processed',
{
$concatArrays: [
'$processed', ['$currentCustomer'],
],
}
],
},
},
}]);
I don't think its possible with simple update using $push or $pop.
As per your experiment, the aggregation can not support direct $push, $pop stage in root level, so I have corrected your query,
currentCustomer check condition if size of inLine is 0 then return null otherwise get first element from inLine array using $arrayElemAt,
inLine check condition if size of inLine is 0 then return [] otherwise remove first element from inLine array using $slice and $size
processed concat both arrays using $concatArrays, $ifNull to check if field is null then return blank array, check condition if currentCustomer null then return [] otherwise return currentCustomer
db.collection('line').findOneAndUpdate(
{ _id: new ObjectId(lineId), },
[{
$set: {
currentCustomer: {
$cond: [
{ $eq: [{ $size: "$inLine" }, 0] },
null,
{ $arrayElemAt: ["$inLine", 0] }
]
},
inLine: {
$cond: [
{ $eq: [{ $size: "$inLine" }, 0] },
[],
{ $slice: ["$inLine", 1, { $size: "$inLine" }] }
]
},
processed: {
$concatArrays: [
{ $ifNull: ["$processed", []] },
{
$cond: [
{ $eq: ["$currentCustomer", null] },
[],
["$currentCustomer"]
]
}
]
}
}
}]
);
Playground
I'm pushing an updateOne query to update (or create if not existent) a subdocument. This is my schema
{
accountData: {
userId: Number,
items: [
{
itemId: Number,
purchaseTime: Number
}
]
}
}
and this is an example document
{
accountData: {
userId: 1,
items: [
{
itemId: 2,
purchaseTime: 3
},
{
itemId: 3,
purchaseTime: 5
}
]
}
}
When I run the following bulk query for finding and updating purchaseTime value of itemId's 2 and 4 I get an error. This is the query
let bulkQuery = [];
bulkQuery.push({
updateOne: {
filter: {
'accountData.userId': 1,
'accountData.items.itemId': 2
},
update: {
$inc: {
'accountData.items.$.purchaseTime': 1
}
},
upsert: true,
setDefaultsOnInsert: true
}
});
bulkQuery.push({
updateOne: {
filter: {
'accountData.userId': 1,
'accountData.items.itemId': 4
},
update: {
$inc: {
'accountData.items.$.purchaseTime': 1
}
},
upsert: true,
setDefaultsOnInsert: true
}
});
MyModel.bulkWrite(bulkQuery);
The expected change on the document I provided is increasing purchaseTime of itemId=2 from 3 to 4 and adding a new item object with itemId=4 and purchaseTime=1. However, when I run this, I get the following error
BulkWriteError: The positional operator did not find the match needed
from the query. Unexpanded update: accountData.items.$.purchaseTime