I want to query something with SQL's like query:
SELECT * FROM users WHERE name LIKE '%m%'
How can I achieve the same in MongoDB? I can't find an operator for like in the documentation.
Solution 1
That would have to be:
db.users.find({"name": /.*m.*/})
Or, similar:
db.users.find({"name": /m/})
You're looking for something that contains "m" somewhere (SQL's '%' operator is equivalent to regular expressions' '.*'), not something that has "m" anchored to the beginning of the string.
Note: MongoDB uses regular expressions which are more powerful than "LIKE" in SQL. With regular expressions you can create any pattern that you imagine.
For more information on regular expressions, refer to Regular expressions (MDN).
Solution 2
db.users.insert({name: 'paulo'})
db.users.insert({name: 'patric'})
db.users.insert({name: 'pedro'})
Therefore:
For:
db.users.find({name: /a/}) // Like '%a%'
Output: paulo, patric
For:
db.users.find({name: /^pa/}) // Like 'pa%'
Output: paulo, patric
For:
db.users.find({name: /ro$/}) //like '%ro'
Output: pedro
Solution 3
In
- PyMongo using Python
- Mongoose using Node.js
- Jongo, using Java
- mgo, using Go
you can do:
db.users.find({'name': {'$regex': 'sometext'}})
Solution 4
In PHP, you could use the following code:
$collection->find(array('name'=> array('$regex' => 'm'));
Solution 5
Here are different types of requirements and solutions for string search with regular expressions.
You can do with a regular expression which contains a word, i.e., like. Also you can use $options => i for a case insensitive search.
Contains string
db.collection.find({name:{'$regex' : 'string', '$options' : 'i'}})
Doesn't contain string, only with a regular expression
db.collection.find({name:{'$regex' : '^((?!string).)*$', '$options' : 'i'}})
Exact case insensitive string
db.collection.find({name:{'$regex' : '^string$', '$options' : 'i'}})
Start with string
db.collection.find({name:{'$regex' : '^string', '$options' : 'i'}})
End with string
db.collection.find({name:{'$regex' : 'string$', '$options' : 'i'}})
Keep Regular Expressions Cheat Sheet as a bookmark, and a reference for any other alterations you may need.
Solution 6
You would use a regular expression for that in MongoDB.
For example,
db.users.find({"name": /^m/})
Solution 7
You have two choices:
db.users.find({"name": /string/})
or
db.users.find({"name": {"$regex": "string", "$options": "i"}})
For the second one, you have more options, like "i" in options to find using case insensitive.
And about the "string", you can use like ".string." (%string%), or "string.*" (string%) and ".*string) (%string) for example. You can use a regular expression as you want.
Solution 9
Already you got the answers, but to match with a regular expression with case insensitivity, you could use the following query:
db.users.find ({ "name" : /m/i } ).pretty()
The i in the /m/i indicates case insensitivity and .pretty() provides a prettier output.
Solution 10
For Mongoose in Node.js:
db.users.find({'name': {'$regex': '.*sometext.*'}})
Solution 11
With MongoDB Compass, you need to use the strict mode syntax, as such:
{ "text": { "$regex": "^Foo.*", "$options": "i" } }
(In MongoDB Compass, it's important that you use " instead of ')
Solution 12
You can use the new feature of MongoDB 2.6:
db.foo.insert({desc: "This is a string with text"});
db.foo.insert({desc:"This is a another string with Text"});
db.foo.ensureIndex({"desc":"text"});
db.foo.find({
$text:{
$search:"text"
}
});
Solution 13
In a Node.js project and using Mongoose, use a like query:
var User = mongoose.model('User');
var searchQuery = {};
searchQuery.email = req.query.email;
searchQuery.name = {$regex: req.query.name, $options: 'i'};
User.find(searchQuery, function(error, user) {
if(error || user === null) {
return res.status(500).send(error);
}
return res.status(200).send(user);
});
Solution 14
You can use a where statement to build any JavaScript script:
db.myCollection.find( { $where: "this.name.toLowerCase().indexOf('m') >= 0" } );
Reference: $where
Solution 15
Using template literals with variables also works:
{"firstname": {$regex : `^${req.body.firstname}.*` , $options: 'si' }}
Solution 16
In Go and the mgo driver:
Collection.Find(bson.M{"name": bson.RegEx{"m", ""}}).All(&result)
where the result is the struct instance of the sought-after type.
Solution 17
For PHP mongo Like.
I had several issues with PHP mongo like. I found that concatenating the regular expression parameters helps in some situations - PHP mongo find field starts with.
For example,
db()->users->insert(['name' => 'john']);
db()->users->insert(['name' => 'joe']);
db()->users->insert(['name' => 'jason']);
// starts with
$like_var = 'jo';
$prefix = '/^';
$suffix = '/';
$name = $prefix . $like_var . $suffix;
db()->users->find(['name' => array('$regex'=>new MongoRegex($name))]);
output: (joe, john)
// contains
$like_var = 'j';
$prefix = '/';
$suffix = '/';
$name = $prefix . $like_var . $suffix;
db()->users->find(['name' => array('$regex'=>new MongoRegex($name))]);
output: (joe, john, jason)
Solution 18
In SQL, the like query looks like this:
select * from users where name like '%m%'
In the MongoDB console, it looks like this:
db.users.find({"name": /m/}) // Not JSON formatted
db.users.find({"name": /m/}).pretty() // JSON formatted
In addition, the pretty() method will produce a formatted JSON structure in all the places which is more readable.
Solution 19
String yourdb={deepakparmar, dipak, parmar}
db.getCollection('yourdb').find({"name":/^dee/})
ans deepakparmar
db.getCollection('yourdb').find({"name":/d/})
ans deepakparmar, dipak
db.getCollection('yourdb').find({"name":/mar$/})
ans deepakparmar, parmar
Solution 20
Regular expressions are expensive to process.
Another way is to create an index of text and then search it using $search.
Create a text index of fields you want to make searchable:
db.collection.createIndex({name: 'text', otherField: 'text'});
Search for a string in the text index:
db.collection.find({
'$text'=>{'$search': "The string"}
})
Solution 21
In MongoDb, can use like using MongoDb reference operator regular expression(regex).
For Same Ex.
MySQL - SELECT * FROM users WHERE name LIKE '%m%'
MongoDb
1) db.users.find({ "name": { "$regex": "m", "$options": "i" } })
2) db.users.find({ "name": { $regex: new RegExp("m", 'i') } })
3) db.users.find({ "name": { $regex:/m/i } })
4) db.users.find({ "name": /mail/ })
5) db.users.find({ "name": /.*m.*/ })
MySQL - SELECT * FROM users WHERE name LIKE 'm%'
MongoDb Any of Above with /^String/
6) db.users.find({ "name": /^m/ })
MySQL - SELECT * FROM users WHERE name LIKE '%m'
MongoDb Any of Above with /String$/
7) db.users.find({ "name": /m$/ })
Solution 22
Use regular expressions matching as below. The 'i' shows case insensitivity.
var collections = mongoDatabase.GetCollection("Abcd");
var queryA = Query.And(
Query.Matches("strName", new BsonRegularExpression("ABCD", "i")),
Query.Matches("strVal", new BsonRegularExpression("4121", "i")));
var queryB = Query.Or(
Query.Matches("strName", new BsonRegularExpression("ABCD","i")),
Query.Matches("strVal", new BsonRegularExpression("33156", "i")));
var getA = collections.Find(queryA);
var getB = collections.Find(queryB);
Solution 23
It seems that there are reasons for using both the JavaScript /regex_pattern/ pattern as well as the MongoDB {'$regex': 'regex_pattern'} pattern. See: MongoDB RegEx Syntax Restrictions
This is not a complete regular expression tutorial, but I was inspired to run these tests after seeing a highly voted ambiguous post above.
> ['abbbb','bbabb','bbbba'].forEach(function(v){db.test_collection.insert({val: v})})
> db.test_collection.find({val: /a/})
{ "val" : "abbbb" }
{ "val" : "bbabb" }
{ "val" : "bbbba" }
> db.test_collection.find({val: /.*a.*/})
{ "val" : "abbbb" }
{ "val" : "bbabb" }
{ "val" : "bbbba" }
> db.test_collection.find({val: /.+a.+/})
{ "val" : "bbabb" }
> db.test_collection.find({val: /^a/})
{ "val" : "abbbb" }
> db.test_collection.find({val: /a$/})
{ "val" : "bbbba" }
> db.test_collection.find({val: {'$regex': 'a$'}})
{ "val" : "bbbba" }
Solution 24
A like query would be as shown below:
db.movies.find({title: /.*Twelve Monkeys.*/}).sort({regularizedCorRelation : 1}).limit(10);
For the Scala ReactiveMongo API,
val query = BSONDocument("title" -> BSONRegex(".*" + name + ".*", "")) // like
val sortQ = BSONDocument("regularizedCorRelation" -> BSONInteger(1))
val cursor = collection.find(query).sort(sortQ).options(QueryOpts().batchSize(10)).cursor[BSONDocument]
Solution 25
If you are using Spring-Data MongoDB, you can do it in this way:
String tagName = "m";
Query query = new Query();
query.limit(10);
query.addCriteria(Criteria.where("tagName").regex(tagName));
Solution 26
If you have a string variable, you must convert it to a regex, so MongoDB will use a like statement on it.
const name = req.query.title; //John
db.users.find({ "name": new Regex(name) });
Is the same result as:
db.users.find({"name": /John/})
Solution 27
Use aggregation substring search (with index!!!):
db.collection.aggregate([{
$project : {
fieldExists : {
$indexOfBytes : ['$field', 'string']
}
}
}, {
$match : {
fieldExists : {
$gt : -1
}
}
}, {
$limit : 5
}
]);
Solution 28
You can query with a regular expression:
db.users.find({"name": /m/});
If the string is coming from the user, maybe you want to escape the string before using it. This will prevent literal chars from the user to be interpreted as regex tokens.
For example, searching the string "A." will also match "AB" if not escaped.
You can use a simple replace to escape your string before using it. I made it a function for reusing:
function textLike(str) {
var escaped = str.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g, '\\$&');
return new RegExp(escaped, 'i');
}
So now, the string becomes a case-insensitive pattern matching also the literal dot. Example:
> textLike('A.');
< /A\./i
Now we are ready to generate the regular expression on the go:
db.users.find({ "name": textLike("m") });
Solution 29
As the MongoDB shell supports regular expressions, that's completely possible.
db.users.findOne({"name" : /.*sometext.*/});
If we want the query to be case-insensitive, we can use the "i" option, like shown below:
db.users.findOne({"name" : /.*sometext.*/i});
Solution 30
If you want a 'like' search in MongoDB then you should go with $regex. By using it, the query will be:
db.product.find({name:{$regex:/m/i}})
For more, you can read the documentation as well - $regex
