MongoDB Inner Array Query - mongodb

I have the following Mongo Document. I need the output for all SID =100 as shown. How can this be achieved. Tried different ways.
As seen, there are multiple array levels. The input has collection of SIDs with all products.
Input
[
{
"_id": "123456",
"Continent": {
"Country": [
[
"US",
{
"State": [
[
100,
{
"Product": "Corn",
"SID": 100
}
],
[
200,
{
"Product": "Maze",
"SID": 200
}
],
[
100,
{
"Product": "Corn-HB",
"SID": 100
}
]
],
}
]
]
}
}
]
Here the out has only the collection of SID = 100, but it preserves the input format
Output
[
{
"_id": "123456",
"Continent": {
"Country": [
[
"US",
{
"State": [
[
100,
{
"Product": "Corn",
"SID": 100
}
],
[
100,
{
"Product": "Corn-HB",
"SID": 100
}
]
],
}
]
]
}
}
]

As mentioned in the question comments, this data design is a bit odd but a solution can be achieved using the $function function (starting in v4.4 Sep 2020) which avoids maps of maps of reduce, etc.:
var keeper_sid = 100;
db.foo.aggregate([
{$replaceRoot: {newRoot: {$function: {
body: function(obj, keeper) {
var country_arr = obj['Continent']['Country'];
for(var n1 = 0; n1 < country_arr.length; n1++) {
var tuple1 = country_arr[n1];
var state_arr = tuple1[1]['State'];
// Walk the State array backwards to ease deletions.
for(var n2 = state_arr.length - 1; n2 >= 0; n2--) {
var tuple2 = state_arr[n2];
if(tuple2[1]['SID'] != keeper) {
state_arr.splice(n2,1);
}
}
}
return obj;
},
args: [ "$$ROOT", keeper_sid ],
lang: "js"
}}
}}
]);
This is straightforward but it does make assumptions about the structure e.g. extracting the second ([1]) item from the "tuples." The code can be reduced a bit more but intermediate variables (tuple1,2) are shown to make the whole thing a little more clear.

Related

Populate Search MongoDB Objects

Can you please tell me how to search for a nested object (only _id appears in it and is expanded via .populate() )?
I need to search by title and album.title, how can I do this?
async getAll(searchTerm?: string) {
let options = {}
if (searchTerm) {
options = {
$or: [
{
title: new RegExp(searchTerm.trim(), 'gi'),
},
],
}
}
return this.TrackModel.find(options)
.select('-updatedAt -__v')
.sort({ createdAt: 'desc' })
.populate('album author')
.exec()
}
image of JSON below
[
{
"_id": "638cec330c055283f3eeb227",
"poster": "/uploads/tracks/Coolio/Coolio-cover.jpg",
"title": "Gangsta's Paradise",
"slug": "gangstasparadise",
"duration": 240,
"countPlays": 7269322,
"trackUrl": "/uploads/tracks/Coolio/Coolio - Gangstas Paradise.mp3",
"album": [
{
"_id": "638ceb960c055283f3eeb225",
"title": "Gangsta's Paradise",
"slug": "gangstasparadise",
"poster": "/uploads/tracks/Coolio/Coolio-cover.jpg",
"author": [
"638ce9f50c055283f3eeb223"
],
"createdAt": "2022-12-04T18:48:54.306Z",
"updatedAt": "2022-12-04T18:48:54.306Z",
"_v": 0
}
]
}
]
I tried to search using $or, but I ran into a problem that at the time of the search, only _id is stored in the album array.

Update data two element in mongo db

{
"Templates": [
{
"ProductId": "63a2b0f87a810608e6ca6d95",
"RevisionNum": [
"221222"
],
"EffectiveDate": "2022-12-22T02:45:22.587Z",
"HardwareVer": "A",
"SoftwareVer": "1.0",
"WorkTasks": [],
"_id": "63a3c4d950b22e564d2b8dee"
}
],
"_id": "63a3c4d950b22e564d2b8ded",
"__v": 0
}
Update data element by productId one are update value in array ["221222"] to ["111111"] in RevisionNum array other are for HardwareVer in MongoDB and Nodejs
You can use arrayFilters as follow:
db.collection.update({},
{
$set: {
"Templates.$[y].RevisionNum.$[x]": "1111",
"Templates.$[y].HardwareVer": "B"
}
},
{
arrayFilters: [
{
x: "221222"
},
{
"y.ProductId": "63a2b0f87a810608e6ca6d95"
}
]
})
Explained:
Create two arrayFilters x & y to identify the element that you need to update.
Playground

How can I filter records with multiple $in condition (some are optional $in) with arrays of string? Mongoose/MongoDB

You can see my Mongodb Records at last... I am now trying to implement search functionality,
I mad checkbox filtration for my project and below I listed those arrays after I clicked multiple checkboxes (see 1, 2 and 3).
I tried in aggregate with multiple match queries with $in, but it doesn't worked. Below arrays are used to check the records.
for example:
["Restaurant", "Mall"] need to check with "commercialType" in records, at the same time ["AC Rooms", "3 Phase Electricity"] need to check with "propertyFeatures.name" in records.. so all matching records must display if records exist with those filtrations.
I tried with multiple $in queries like this, but it gives empty records.
"$match": {
"commercialType": {
"$in": ["Restaurant", "Hotel"]
},
{
"propertyFeatures.name": {
"$in": ['AC Rooms']
}
},
... other match filters
}
1. Below Array is used to find commercialType (field in doc)
[
'Restaurant',
'Office space',
'Hotel'
]
2. Below Array is used to find landType (field in doc)
[
'Bare land',
'Beachfront land',
'Coconut land'
]
3. Below Array is used to find "propertyFeatures.name" (field in doc)
[
'AC Rooms',
'3 Phase Electricity',
'Hot Water'
]
[
{
"_id": {
"$oid": "6343b68edf5e889a575c8502"
},
"propertyType": "House",
"propertyFeatures": [
{
"id": 1,
"name": "AC Rooms",
"value": true
}
]
},
{
"_id": {
"$oid": "6343b68edf5e889a575c8502"
},
"propertyType": "Land",
"landType": "Bare land",
"propertyFeatures": [
{
"id": 1,
"name": "Wider Road",
"value": true
}
]
},
{
"_id": {
"$oid": "6343b68edf5e889a575c8502"
},
"propertyType": "Commercial",
"commercialType": "Restaurant",
"propertyFeatures": [
{
"id": 1,
"name": "3 Phase Electricity",
"value": true
}
]
}
]
You are probably missing $or operator, so your example pipeline becomes
[
{"$match": {
"$or": [
{
"commercialType": {
"$in": ["Restaurant", "Hotel"]
},
{
"propertyFeatures.name": {
"$in": ['AC Rooms']
}
}
]
}
]
MongoDB docs: https://www.mongodb.com/docs/manual/reference/operator/aggregation/or/#error-handling

How to save deletion in a deeply nested MongoDB document

I am new to MongoDB and I am using MongoDB shell to perform the operations.
I am working to remove the array named Process from all the Items, but it seems that I do not grasp the remove concept correctly.
The documents we use are deeply nested - we do not know how many items there are, or how deep the level of nesting.
What I tried so far is to use recursion to iterate through the items:
function removeAllProcessFields(docItems)
{
if(Array.isArray(docItems))
{
docItems.forEach(function(item)
{
print("idItem: "+item._id);
if(item.Process == null)
{
print("Process null");
}
else
{
$unset: { Process: ""}
}
removeAllProcessFields(item.Items);
})
}
}
var docs = db.getCollection('MyCollection').find({})
docs.forEach(function(doc)
{
print("idDoc: "+doc._id);
removeAllProcessFields(doc.Items);
})
But I have difficulties on using unset properly to save the operation.
An example document would be:
{
"_id": "622226d319517e83e8ed6151",
"Name": "test1",
"Description": "",
"Items": [{
"_id": "622226d319517e83e8ed614e",
"Name": "test-item",
"Description": "",
"Process": [{
"Name": "Step1"
}, {
"Name": "Step2"
}],
"Items": [{
"_id": "622226d319517e83e8ed614f",
"Name": "test-subItem1",
"Description": "",
"Process": [{
"Name": "StepSub1"
}, {
"Name": "StepSub2"
}, {
"Name": "StepSub3"
}],
"Items": []
},
{
"_id": "622226d319517e83e8ed6150",
"Name": "test-subItem2",
"Description": "",
"Process": [{
"Name": "StepSub4"
}, {
"Name": "StepSub5"
}, {
"Name": "StepSub6"
}],
"Items": []
}
]
}]
}
What I hope to achieve would be:
{
"_id": "622226d319517e83e8ed6151",
"Name": "test1",
"Description": "",
"Items": [{
"_id": "622226d319517e83e8ed614e",
"Name": "test-item",
"Description": "",
"Items": [{
"_id": "622226d319517e83e8ed614f",
"Name": "test-subItem1",
"Description": "",
"Items": []
},
{
"_id": "622226d319517e83e8ed6150",
"Name": "test-subItem2",
"Description": "",
"Items": []
}
]
}]
}
Something like this maybe using the $[] positional operator:
db.collection.update({},
{
$unset: {
"Items.$[].Items.$[].Process": 1,
"Items.$[].Process": 1
}
})
You just need to construct it in the recursion ...
playground
JavaScript recursive function example:
mongos> db.rec.find()
{ "_id" : ObjectId("622a6c46ae295edb276df8e2"), "Items" : [ { "a" : 1 }, { "Items" : [ { "Items" : [ { "Items" : [ ], "Process" : [ 1, 2, 3 ] } ], "Process" : [ 4, 5, 6 ] } ], "Process" : [ ] } ] }
mongos> db.rec.find().forEach(function(obj){ var id=obj._id,ar=[],z=""; function x(obj){ if(typeof obj.Items != "undefined" ){ obj.Items.forEach(function(k){ if( typeof k.Process !="undefined" ){ z=z+".Items.$[]";ar.push(z.substring(1)+".Process") }; if(typeof k.Items != "undefined"){x(k)}else{} }) }else{} };x(obj);ar.forEach(function(del){print( "db.collection.update({_id:ObjectId('"+id+"')},{$unset:{'"+del+"':1}})" );}) })
db.collection.update({_id:ObjectId('622a6c46ae295edb276df8e2')},{$unset:{'Items.$[].Process':1}})
db.collection.update({_id:ObjectId('622a6c46ae295edb276df8e2')},{$unset:{'Items.$[].Items.$[].Process':1}})
db.collection.update({_id:ObjectId('622a6c46ae295edb276df8e2')},{$unset:{'Items.$[].Items.$[].Items.$[].Process':1}})
mongos>
Explained:
Loop over all documents in collection with forEach
Define recursive function x that will loop over any number of nested Items and identify if there is Process field and push to array ar
Finally loop over array ar and construct the update $unset query , in the example only printed for safety , but you can improve generating single query per document and executing unset query ...
Assuming you are on v>=4.4 you can use the "merge onto self" feature of $merge plus defining a recursive function to sweep through the collection and surgically remove one or a list of fields at any level of the hierarchy. The same sort of needs arise when processing json-schema data which is also arbitrarily hierarchical.
The solution below has extra logic to "mark" documents that had any modifications so the others can be removed from the update set passed to $merge. It also can be further refined to reduce some variables; it was edited down from a more general solution that had to examine keys and values.
db.foo.aggregate([
{$replaceRoot: {newRoot: {$function: {
body: function(obj, target) {
var didSomething = false;
var process = function(holder, spot, value) {
// test FIRST since [] instanceof Object is true!
if(Array.isArray(value)) {
for(var jj = value.length - 1; jj >= 0; jj--) {
process(value, jj, value[jj]);
}
} else if(value instanceof Object) {
walkObj(value);
}
};
var walkObj = function(obj) {
Object.keys(obj).forEach(function(k) {
if(target.indexOf(k) > -1) {
delete obj[k];
didSomething = true;
} else {
process(obj, k, obj[k]);
}
});
}
// ENTRY POINT:
if(!Array.isArray(target)) {
target = [ target ]; // if not array, make it an array
}
walkObj(obj);
if(!didSomething) {
obj['__didNothing'] = true;
}
return obj;
},
// Invoke!
// You can delete multiple fields with an array, e.g.:
// ..., ['Process','Description']
args: [ "$$ROOT", 'Process' ],
lang: "js"
}}
}}
// Only let thru docs WITHOUT the marker:
,{$match: {'__didNothing':{$exists:false}} }
,{$merge: {
into: "foo",
on: [ "_id" ],
whenMatched: "merge",
whenNotMatched: "fail"
}}
]);

Why is mongo telling me I need two arguments for $in in the query below?

I have the following query:
const productTypes = await ProductTypes.find(
{type},
{
style: {
$in: styles
}
}
);
This is my styles array:
styles [ 'mom' ]
And I get this error:
MongoServerError: Expression $in takes exactly 2 arguments. 1 were passed in.
At first glance, it looks like your query is wrong. You need so move the style query into the first param {type}.
You can check out a live query here
Something like this:
const productTypes = await ProductTypes.find({
type,
style: {
$in: styles // ["mom"]
}
});
This is the same stuff from the live demo... putting it here for archival purposes.
Test Database
[
{
"type": "a",
"styles": [
"mom",
"dad",
"sister"
]
},
{
"type": "b",
"styles": [
"mom",
"brother",
"dad"
]
}
]
Query
db.collection.find({
type: "a",
styles: {
$in: [
"mom"
]
}
})
Result
[
{
"_id": ObjectId("5a934e000102030405000000"),
"styles": [
"mom",
"dad",
"sister"
],
"type": "a"
}
]