Advanced Queries

Introduction

MongoDB offers a rich query environment with lots of features. This page lists some of those features.

Queries in MongoDB are represented as JSON-style objects, very much like the documents we actually store in the database.  For example:

db.things.find( { x : 3, y : "foo" } ); // i.e., select * from things where x==3 and y=="foo"

Note that any of the operators on this page can be combined in the same query document. For example, to find all document where j is not equal to 3 and k is greater than 10, you'd query like so:

db.things.find({j: {$ne: 3}, k: {$gt: 10} });

Conditional Operators : <, <=, >, >=

Use these special forms for greater than and less than comparisons in queries, since they have to be represented in the query document:

db.collection.find({ "field" : { $gt: value } } );   // greater than  : field > value
db.collection.find({ "field" : { $lt: value } } );   // less than  :  field < value
db.collection.find({ "field" : { $gte: value } } );  // greater than or equal to : field >= value
db.collection.find({ "field" : { $lte: value } } );  // less than or equal to : field <= value

For example:

db.things.find({j : {$lt: 3}});
db.things.find({j : {$gte: 4}});

You can also combine these operators to specify ranges:

db.collection.find({ "field" : { $gt: value1, $lt: value2 } } );    // value1 < field < value

Conditional Operator : $ne

Use $ne for "not equals".

db.things.find( { x : { $ne : 3 } } );

Conditional Operator : $in

The $in operator is analogous to the SQL IN modifier, allowing you to specify an array of possible matches.

db.collection.find( { "field" : { $in : array } } );

Let's consider a couple of examples. From our things collection, we could choose to get a subset of documents based upon the value of the 'j' key:

db.things.find({j:{$in: [2,4,6]}});

Suppose the collection updates is a list of social network style news items; we want to see the 10 most recent updates from our friends. We might invoke:

db.updates.ensureIndex( { ts : 1 } ); // ts == timestamp
var myFriends = myUserObject.friends; // let's assume this gives us an array of DBRef's of my friends
var latestUpdatesForMe = db.updates.find( { user : { $in : myFriends } } ).sort( { ts : -1 } ).limit(10);

Conditional Operator : $nin

The $nin operator is similar to $in except that it selects objects for which the specified field does not have any value in the specified array. For example

db.things.find({j:{$nin: [2,4,6]}});

would match {j:1,b:2} but not {j:2,c:9}.

Conditional Operator : $mod

The $mod operator allows you to do fast modulo queries to replace a common case for where clauses. For example, the following $where query:

db.things.find( "this.a % 10 == 1")

can be replaced by:

db.things.find( { a : { $mod : [ 10 , 1 ] } } )

Conditional Operator: $all

The $all operator is similar to $in, but instead of matching any value in the specified array all values in the array must be matched. For example, the object

{ a: [ 1, 2, 3 ] }

would be matched by

db.things.find( { a: { $all: [ 2, 3 ] } } );

but not

db.things.find( { a: { $all: [ 2, 3, 4 ] } } );

Conditional Operator : $size

The $size operator allows specification of the size of an array. The following example would match the object {a:[99]}:

db.things.find( { a : { $size: 1 } } );

Conditional Operator : $exists

Check for existence (or lack thereof) of a field.

db.things.find( { a : { $exists : true } } ); // return object if a is present
db.things.find( { a : { $exists : false } } ); // return if a is missi

Regular Expressions

You may use regular expressions in database query expressions:

db.customers.find( { name : /acme.*corp/i } );

For regular expressions of the form /^''normalchars''.*/, the database will use an index when available and appropriate (much like most SQL databases that use indexes for a LIKE 'foo%' expression).

Value in an Array

To look for the value "red" in an array field colors:

db.things.find( { colors : "red" } );

That is, when "colors" is inspected, if it is an array, each value in the array is checked.  This technique may be mixed with the embedded object technique below.

Conditional Operator: $elemMatch

Version 1.3.1 and higher.

Use $elemMatch to check if an element in an array matches the specified match expression.

> t.find( { x : { $elemMatch : { a : 1, b : { $gt : 1 } } } } ) 
{ "_id" : ObjectId("4b5783300334000000000aa9"),
  "x" : [ { "a" : 1, "b" : 3 }, 7, { "b" : 99 }, { "a" : 11 } ]
}

Note that a single array element must match all the criteria specified; thus, the following query is semantically different in that each criteria can match a different element in the x array:

> t.find( { "x.a" : 1, "x.b" : { $gt : 1 } } )

Value in an Embedded Object

For example, to look author.name=="joe" in a postings collection with embedded author objects:

db.postings.find( { "author.name" : "joe" } );

Full language expressions and $where

In addition to the structured query syntax shown so far, you may write query "where" expressions in the style of a SQL-like "WHERE" predicate. To do so, pass a string containing a Javascript expression to find(), or assign such a string to the query object member $where. The database will evaluate this expression for each object scanned. When the result is true, the object is returned in the query results.

For example, the following three statements all do the same thing:

db.myCollection.find( { a : { $gt: 3 } } );
db.myCollection.find( { $where: "this.a > 3" } );
db.myCollection.find("this.a > 3");

See the server-side processing page for more information.

sort()

sort() is analogous to the ORDER BY statement in SQL - it requests that items be returned in a particular order. We pass sort() a key pattern which indicates the desired order for the result.

db.myCollection.find().sort( { ts : -1 } ); // sort by ts, descending order

sort() may be combined with the limit() function. In fact, if you do not have a relevant index for the specified key pattern, limit() is recommended as there is a limit on the size of sorted results when an index is not used.

limit()

limit() is analogous to the LIMIT statement in MySQL: it specifies a maximum number of results to return. For best performance, use limit() whenever possible. Otherwise, the database may return more objects than are required for processing.

db.students.find().limit(10).forEach( function(student) { print(student.name + "<p>"); } );

skip()

The skip() expression allows one to specify at which object the database should begin returning results. This is often useful for implementing "paging". Here's an example of how it might be used in a JavaScript application:

function printStudents(pageNumber, nPerPage) {
   print("Page: " + pageNumber);
   db.students.find().skip((pageNumber-1)*nPerPage).limit(nPerPage).forEach( function(student) { print(student.name + "<p>"); } );
}

snapshot()

Indicates use of snapshot mode for the query. Snapshot mode assures no duplicates are returned, or objects missed, which were present at both the start and end of the query's execution (even if the object were updated). If an object is new during the query, or deleted during the query, it may or may not be returned, even with snapshot mode.

Note that short query responses (less than 1MB) are always effectively snapshotted.

Currently, snapshot mode may not be used with sorting or explicit hints.

count()

The count() method returns the number of objects matching the query specified. It is specially optimized to perform the count in the MongoDB server, rather than on the client side for speed and efficiency:

nstudents = db.students.find({'address.state' : 'CA'}).count();

Note that you can achieve the same result with the following, but the following is slow and inefficient as it requires all documents to be put into memory on the client, and then counted. Don't do this:

nstudents = db.students.find({'address.state' : 'CA'}).toArray().length; // VERY BAD: slow and uses excess memory

group()

The group() method is analogous to GROUP BY in SQL. group() is more flexible, actually, allowing the specification of arbitrary reduction operations. See the Aggregation section of the Mongo Developers' Guide for more information.