MongoDB - query field to include separate words [duplicate] - node.js

I want to use $or and $regex operators same time.
db.users.insert([{name: "Alice"}, {name: "Bob"}, {name: "Carol"}, {name: "Dan"}, {name: "Dave"}])
Using $regex works fine:
> db.users.find({name: {$regex: "^Da"}})
{ "_id" : ObjectId("53e33682b09f1ca437078b1d"), "name" : "Dan" }
{ "_id" : ObjectId("53e33682b09f1ca437078b1e"), "name" : "Dave" }
When introducing $or, the response is changed. I expected the same response:
> db.users.find({name: {$regex: {$or: ["^Da"]}}})
{ "_id" : ObjectId("53e33682b09f1ca437078b1a"), "name" : "Alice" }
{ "_id" : ObjectId("53e33682b09f1ca437078b1b"), "name" : "Bob" }
{ "_id" : ObjectId("53e33682b09f1ca437078b1c"), "name" : "Carol" }
{ "_id" : ObjectId("53e33682b09f1ca437078b1d"), "name" : "Dan" }
{ "_id" : ObjectId("53e33682b09f1ca437078b1e"), "name" : "Dave" }
I also tried to change the order of the operators:
> db.users.find({name: {$or: [{$regex: "^Da"}, {$regex: "^Ali"}]}})
error: { "$err" : "invalid operator: $or", "code" : 10068 }
However, it seems that following query works fine, but it's a little bit long (name is repeated):
> db.users.find({$or: [{name: {$regex: "^Da"}}, {name: {$regex: "^Ali"}}]})
{ "_id" : ObjectId("53e33682b09f1ca437078b1a"), "name" : "Alice" }
{ "_id" : ObjectId("53e33682b09f1ca437078b1d"), "name" : "Dan" }
{ "_id" : ObjectId("53e33682b09f1ca437078b1e"), "name" : "Dave" }
Is there any shorter way to use $regex and $or in queries like this?
The goal is to use $regex operator and not /.../ (real regular expressions).

The $or operator expects whole conditions so the correct form would be:
db.users.find({ "$or": [
{ "name": { "$regex": "^Da"} },
{ "name": { "$regex": "^Ali" }}
]})
Or of course using $in:
db.users.find({ "name": { "$in": [/^Da/,/^Ali/] } })
But it's a regex so you can do:
db.users.find({ "name": { "$regex": "^Da|^Ali" } })

It is been a while. However, I would add case insensitive to the regex query like the query below. So that, it doesn't matter if names were saved into the database with capital letters:
db.users.find({ "name": { "$regex": "^Da|^Ali", "$options": "i" } })
Hope it helps

It seems when you have $and or $or and multiple search based and used at least one $regex you have to use $regex for all conditions.
First from below works ok, second more like $or operator.
db.big_data.users.find(
{ $and: [
{ sex: { $regex: /^M.*/ } },
{ name: { $regex: /^J.*/ } }
] })
db.big_data.users.find({ $and: [ {sex: "M"}, { name: { $regex: /^J*/m } } ] })

you can use OR operator like
db.collName.find({ "name": { "$regex": "^Da|^Ali" ,"$options": "i" } })
and operator
db.collName.find({ "name": { "$regex": "Ali" ,"$options": "i" } })
for more info
source - https://www.cs.jhu.edu/~jason/405/lectures1-2/sld049.htm

Related

How to use regex in addFields aggregate with mongodb

I want to use regex in addFiels in aggregate with mongodb, but I am not able to do that below is my code which I have tried
$addFields: {slug: {$title: {$regex: '/^[^_s]*$/'}}}
but this is giving mongo error. Please find me solution. My expected output should be
slug: "This-is-my-1st-adventure". In my db title: "This is my 1st adventure"
The following query can do the trick. We are using $reduce to replace space with a hyphen.
db.collection.aggregate([
{
$addFields:{
"slug":{
$let:{
"vars":{
"array":{
$split:["$title"," "]
}
},
"in":{
$reduce:{
"input":"$$array",
"initialValue":"",
"in":{
$concat:["$$value","-","$$this"]
}
}
}
}
}
}
},
{
$addFields:{
"slug":{
$substr:["$slug",1,{ $strLenBytes: "$slug" }]
}
}
}
]).pretty()
Data set:
{
"_id" : ObjectId("5d84af0aebcbd560107c54af"),
"title" : "This is my 1st adventure"
}
{
"_id" : ObjectId("5d84af0aebcbd560107c54b0"),
"title" : "This is my 2nd adventure"
}
Output:
{
"_id" : ObjectId("5d84af0aebcbd560107c54af"),
"title" : "This is my 1st adventure",
"slug" : "This-is-my-1st-adventure"
}
{
"_id" : ObjectId("5d84af0aebcbd560107c54b0"),
"title" : "This is my 2nd adventure",
"slug" : "This-is-my-2nd-adventure"
}

i am not able to query the sub document in mongodb

i am not able to query results in this query,
i want result based on detail.type (like fetch record where detail.type="one") and fetch only first 10 records in detail.numbers array
{
"_id" : ObjectId("5a27b609e101b6092b4ebf91"),
"city" : "Mumbai",
"detail" : [
{
"type" : "One",
"name" : "Some name",
"_id" : ObjectId("5a27b609e101b6092b4ebf92"),
"numbers" : [
"72598xxx78",
"81301xxx88",
"83302xxx30",
"84309xxx43",
"85309xxx77",
"86309xxx61",
"87270xxx88",
"85272xxx36",
"88272xxx23",
"85276xxx01"
]
},
{
"name" : "Some name",
"type" : "two",
"_id" : ObjectId("5a28e954d4f5a30527d92a32"),
"contact" : [
"72598xxx78",
"81301xxx88",
"83302xxx30",
"84309xxx43",
"85309xxx77",
"86309xxx61",
"87270xxx88",
"85272xxx36",
"88272xxx23",
"85276xxx01"
]
},
]
}
MongoDB facilitates querying over array elements using $elemMatch operator.
According to description as mentioned into above question as a solution to it please try executing following MongoDB query to fetch required data from MongoDB collection.
db.collection.find({
detail: {
$elemMatch: {
type: 'One'
}
}
}, {
_id: 1,
city: 1,
'detail.$': 1
})
db.collection.aggregate([
{
$project:{
detail:{
$map:{
input:{$filter:{input:"$detail",as:"d",cond:{$eq:["$$d.type","One"]}}},
as:"d",
in:{
"type" : "$$d.type",
"name" : "$$d.name",
"numbers":{$slice:["$$d.numbers",10]}
}
}
}
}
}
])

Mongo query using filter not fetching exact result?

My mongo table contains contains collection 'Shops' and data like the below:
{
"ShopId" : 9999,
"products" : [
{
"productId" : "1234",
"productName" : "abcd",
},
{
"productId" : "5678",
"productName" : "abc",
},
{
"productId" : "2345",
"productName" : "def",
}
],
}
There will be several shops in the table having a list of products.
Requirement:
I want to fetch the records having shopId=9999 and products matches the string abc
My query
model.Shops.aggregate([{$match:{"ShopId":9999}},{$project:{products:{$filter:{input:'$products',cond: {'productName':/abc/ }}}}}])
Problem:
It is fetching the productname:defwith the other data that matches productname:abc.
You can't use regex search with the $filter operator. The only way to achieve this is to unwind products, filter document and then re-group them in an array
model.Shops.aggregate([
{
$match:{
"ShopId":9999
}
},
{
$unwind:"$products"
},
{
$match:{
"products.productName":/abc/
}
},
{
$group:{
_id:null,
products:{
$push:{
"productName":"$products.productName",
"productId":"$products.productId"
}
}
}
}
])
output:
{
"_id":null,
"products":[
{
"productName":"abcd",
"productId":"1234"
},
{
"productName":"abc",
"productId":"5678"
}
]
}
to use it with a variable, declare your regex like this:
var regex: /abc/;
and then use it directly in the query
$match:{
"products.productName": regex
}
Below code worked on mongoshell for me, and your code was giving error to me, that Missing 'as' parameter to $filter.
db.Shops.aggregate([
{$match:{"ShopId":9999}},
{$project:{
products:{$filter:{input:'$products',as:"product",cond: { $eq: [ "$$product.productName", "abc" ] }}}
}}
])

Find sub-documents using $in with MongoDB

My task is to find individual authors(comments.user_id) comment on the article (_id)
{
"_id" : ObjectId("56479d9c8510369a4ecea3a9"),
"comments" : [
{
"text" : "222",
"user_id" : ObjectId("563f2db0e2bf6c431b297d45"),
},
{
"text" : "333",
"user_id" : ObjectId("563f2db0e2bf6c431b297d45"),
},
{
"text" : "444",
"user_id" : ObjectId("563f2db0e2bf6c431b297d45"),
},
{
"text" : "55555",
"user_id" : ObjectId("563e3337e2bf6c431b297d41"),
},
{
"text" : "00000",
"user_id" : ObjectId("563f7c0a8db7963420cd5732"),
},
{
"text" : "00001",
"user_id" : ObjectId("563f7c0a8db7963420cd5732"),
}
]
}
My query looks as follows
db.getCollection('messages').find({
'_id': ObjectId("56479d9c8510369a4ecea3a9"),
'comments.user_id': {$in : [
ObjectId("563e3337e2bf6c431b297d41"),
ObjectId("563f7c0a8db7963420cd5732")
]}
})
It returns all comments. Please help to understand why it happens.
Expected Result
{
"_id" : ObjectId("56479d9c8510369a4ecea3a9"),
"comments" : [
{
"text" : "55555",
"user_id" : ObjectId("563e3337e2bf6c431b297d41"),
},
{
"text" : "00000",
"user_id" : ObjectId("563f7c0a8db7963420cd5732"),
},
{
"text" : "00001",
"user_id" : ObjectId("563f7c0a8db7963420cd5732"),
}
]
}
update query (hopelessness)
db.getCollection('messages').find(
{'_id': ObjectId("56479d9c8510369a4ecea3a9")},
{'comments.user_id': {$in: ["563f2db0e2bf6c431b297d45", "563e3337e2bf6c431b297d41"]}},
{'comments.user_id': {$elemMatch: {$in: ["563f2db0e2bf6c431b297d45", "563e3337e2bf6c431b297d41"]}}}
)
db.getCollection('messages').find(
{'_id': ObjectId("56479d9c8510369a4ecea3a9")},
{comments: {$elemMatch: {'user_id': {$in : [ObjectId("563f2db0e2bf6c431b297d45"), ObjectId("563f7c0a8db7963420cd5732")]}}}}
)
I return only 1 record, and I have all the records from these authors
As you've seen, the $ and $elemMatch projection operators only include the first matching element.
To include multiple, filtered array elements in your projection of the comment array, your can use aggregate with the $redact operator instead of find:
db.getCollection('test').aggregate([
{$match: {
'_id': ObjectId("56479d9c8510369a4ecea3a9"),
'comments.user_id': {$in : [
ObjectId("563e3337e2bf6c431b297d41"),
ObjectId("563f7c0a8db7963420cd5732")
]},
}},
{$redact: {
$cond: {
if: {
$or: [
{$eq: ['$user_id', ObjectId("563e3337e2bf6c431b297d41")]},
{$eq: ['$user_id', ObjectId("563f7c0a8db7963420cd5732")]},
{$not: '$user_id'}
]
},
then: '$$DESCEND',
else: '$$PRUNE'
}
}}
])
$redact iterates over each doc like a tree, keeping or trimming the fields of each doc as it's $cond expression dictates.
It gets a bit tricky to wrap your head around $redact, but it's basically saying that if the level's user_id field matches either of the two ObjectIds in your $in, or it's not present (i.e. as it is in the top level of the doc), include the data, otherwise remove it.

Get documents that contains specific attributes in array

I have a document collection with recipes that looks like this:
{
"title" : "Pie",
"url" : "pie.png",
"people" : "4",
"ingredients" : [
{
"amount" : "150",
"measure" : "g",
"name" : "Butter"
},
{
"amount" : "200",
"measure" : "g",
"name" : "Flour"
}
],
"_id" : ObjectId("55acf33223ae282719bdc9b7")
}
Im trying to create a query that retrieves all the documents that contains multiple fields, like "butter" and "flour".
I have managed to retrieve documents that contains one field, like the query below:
db.recipe.find(
{"ingredients.name": "Butter"},
{"_id": 1, "ingredients": {"$elemMatch": {"name": "Butter"}}},
callback
);
I’ve tried using
{
$all: [
{ $elemMatch: { name: "Butter" }},
{ $elemMatch:{ name: "Flour"}}
]
}
but I cant get it to work. Any help appreciated!
How about this:
db.recipe.find({
"$and": [
{ "ingredients.name": "Butter" },
{ "ingredients.name": "Flour" }
]
})
EDIT(thanks to #BlakesSeven):
The shorter way to write the above is using the $all operator.
db.recipe.find({ "ingredients.name": { "$all": ["Butter", "Flour"] } }

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