MongoDB Java Tutorial

Introduction

This page is a brief overview of working with the MongoDB Java Driver.
For more information about the Java API, please refer to the online API Documentation for Java Driver

A Quick Tour

Using the Java driver is very simple. First, be sure to include the driver jar mongo.jar in your classpath. The following code snippets come from the examples/QuickTour.java example code found in the driver.
Making A Connection
To make a connection to a MongoDB, you need to have at the minimum, the name of a database to connect to. The database doesn't have to exist - if it doesn't, MongoDB will create it for you.
Additionally, you can specify the server address and port when connecting. The following example shows three ways to connect to the database mydb on the local machine :

import com.mongodb.MongoClient;
import com.mongodb.MongoException;
import com.mongodb.WriteConcern;
import com.mongodb.DB;
import com.mongodb.DBCollection;
import com.mongodb.BasicDBObject;
import com.mongodb.DBObject;
import com.mongodb.DBCursor;
import com.mongodb.ServerAddress;

import java.util.Arrays;

MongoClient mongoClient = new MongoClient();
// or MongoClient mongoClient = new MongoClient( "localhost" );
// or MongoClient mongoClient = new MongoClient( "localhost" , 27017 );
// or, to connect to a replica set, supply a seed list of members MongoClient mongoClient = new MongoClient(Arrays.asList(new ServerAddress("localhost", 27017),
new ServerAddress("localhost", 27018),
new ServerAddress("localhost", 27019)));

DB db = m.getDB( "mydb" );

At this point, the db object will be a connection to a MongoDB server for the specified database. With it, you can do further operations.
Note: The MongoClient instance actually represents a pool of connections to the database; you will only need one instance of class MongoClient even with multiple threads. See the concurrency doc page for more information.
The MongoClient class is designed to be thread safe and shared among threads. Typically you create only 1 instance for a given database cluster and use it across your application. If for some reason you decide to create many MonglClient instances, note that:

all resource usage limits (max connections, etc) apply per MongoClient instance

to dispose of an instance, make sure you call MongoClient.close() to clean up resources

Note: The MongoClient class is new in version 2.10.0. For releases prior to that, please use the Mongo class instead.
Authentication (Optional)
MongoDB can be run in a secure mode where access to databases is controlled through name and password authentication. When run in this mode, any client application must provide a name and password before doing any operations. In the Java driver, you simply do the following with a MongoClient instance:

MongoClient mongoClient = new MongoClient();
DB db = mongoClient.getDB("test");
boolean auth = db.authenticate(myUserName, myPassword);

If the name and password are valid for the database, auth will be true. Otherwise, it will be false. You should look at the MongoDB log for further information if available.
Most users run MongoDB without authentication in a trusted environment.
Getting A List Of Collections
Each database has zero or more collections. You can retrieve a list of them from the db (and print out any that are there) :

Set<String> colls = db.getCollectionNames();

for (String s : colls) {
System.out.println(s);
}

and assuming that there are two collections, name and address, in the database, you would see

name
address

as the output.
Getting A Collection
To get a collection to use, just specify the name of the collection to the getCollection(String collectionName) method:

DBCollection coll = db.getCollection("testCollection");

Once you have this collection object, you can now do things like insert data, query for data, etc
Setting write concern
As of version 2.10.0, the default write concern is WriteConcern.ACKNOWLEDGED, but it can be easily changed:

m.setWriteConcern(WriteConcern.JOURNALED);

There are many options for write concern. Additionally, the default write concern can be overridden on the database, collection, and individual update operations. Please consult the API Documentation for details.
Note: Prior to version 2.10.0, the default write concern is WriteConcern.NORMAL. Under normal circumstances, clients will typically change this to ensure they are notified of problems writing to the database.
Inserting a Document
Once you have the collection object, you can insert documents into the collection. For example, lets make a little document that in JSON would be represented as

{
"name" : "MongoDB",
"type" : "database",
"count" : 1,
"info" : {
x : 203,
y : 102
}
}

Notice that the above has an "inner" document embedded within it. To do this, we can use the BasicDBObject class to create the document (including the inner document), and then just simply insert it into the collection using the insert() method.

BasicDBObject doc = new BasicDBObject("name", "MongoDB").
append("type", "database").
append("count", 1)
.append("info", new BasicDBObject("x", 203).append("y", 102));

coll.insert(doc);

Finding the First Document In A Collection using findOne()
To show that the document we inserted in the previous step is there, we can do a simple findOne() operation to get the first document in the collection. This method returns a single document (rather than the DBCursor that the find() operation returns), and it's useful for things where there only is one document, or you are only interested in the first. You don't have to deal with the cursor.

DBObject myDoc = coll.findOne();
System.out.println(myDoc);

and you should see

{ "_id" : "49902cde5162504500b45c2c" , "name" : "MongoDB" , "type" : "database" , "count" : 1 , "info" : { "x" : 203 , "y" : 102}}

Note the _id element has been added automatically by MongoDB to your document. Remember, MongoDB reserves element names that start with "_"/"$" for internal use.
Adding Multiple Documents
In order to do more interesting things with queries, let's add multiple simple documents to the collection. These documents will just be

{
"i" : value
}

and we can do this fairly efficiently in a loop

for (int i=0; i < 100; i++) {
coll.insert(new BasicDBObject("i", i));
}

Notice that we can insert documents of different "shapes" into the same collection. This aspect is what we mean when we say that MongoDB is "schema-free"
Counting Documents in A Collection
Now that we've inserted 101 documents (the 100 we did in the loop, plus the first one), we can check to see if we have them all using thegetCount() method.

System.out.println(coll.getCount());

and it should print 101.
Using a Cursor to Get All the Documents
In order to get all the documents in the collection, we will use the find() method. The find() method returns a DBCursor object which allows us to iterate over the set of documents that matched our query. So to query all of the documents and print them out :

DBCursor cursor = coll.find();
try {
while(cursor.hasNext()) {
System.out.println(cursor.next());
}
} finally {
cursor.close();
}

and that should print all 101 documents in the collection.
Getting A Single Document with A Query
We can create a query to pass to the find() method to get a subset of the documents in our collection. For example, if we wanted to find the document for which the value of the "i" field is 71, we would do the following ;

BasicDBObject query = new BasicDBObject("i", 71);

cursor = coll.find(query);

try {
while(cursor.hasNext()) {
System.out.println(cursor.next());
}
} finally {
cursor.close();
}

and it should just print just one document

{ "_id" : "49903677516250c1008d624e" , "i" : 71 }

You may commonly see examples and documentation in MongoDB which use $ Operators, such as this:

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

These are represented as regular String keys in the Java driver, using embedded DBObjects:

BasicDBObject query = new BasicDBObject("j", new BasicDBObject("$ne", 3).
append("k", new BasicDBObject("$gt", 10));

cursor = coll.find(query);

try {
while(cursor.hasNext()) {
System.out.println(cursor.next());
}
} finally {
cursor.close();
}

Getting A Set of Documents With a Query
We can use the query to get a set of documents from our collection. For example, if we wanted to get all documents where "i" > 50, we could write :

query = new BasicDBObject("i", new BasicDBObject("$gt", 50));  // e.g. find all where i > 50
cursor = coll.find(query);

try {
while(cursor.hasNext()) {
System.out.println(cursor.next());
}
} finally {
cursor.close();
}

which should print the documents where i > 50. We could also get a range, say 20 < i <= 30 :

query = new BasicDBObject("i", new BasicDBObject("$gt", 20).
append("$lte", 30));  // i.e. 20 < i <= 30
cursor = coll.find(query);

try {
while(cursor.hasNext()) {
System.out.println(cursor.next());
}
} finally {
cursor.close();
}

Creating An Index
MongoDB supports indexes, and they are very easy to add on a collection. To create an index, you just specify the field that should be indexed, and specify if you want the index to be ascending (1) or descending (-1). The following creates an ascending index on the "i" field :

coll.createIndex(new BasicDBObject("i", 1));  // create index on "i", ascending

Getting a List of Indexes on a Collection
You can get a list of the indexes on a collection :

List<DBObject> list = coll.getIndexInfo();

for (DBObject o : list) {
System.out.println(o);
}

and you should see something like

{ "name" : "i_1" , "ns" : "mydb.testCollection" , "key" : { "i" : 1} }

Quick Tour of the Administrative Functions

Getting A List of Databases
You can get a list of the available databases:

MongoClient mongoClient = new MongoClient();

for (String s : m.getDatabaseNames()) {
System.out.println(s);
}

Dropping A Database
You can drop a database by name using a MongoClient instance:

MongoClient mongoClient = new MongoClient();
mongoClient.dropDatabase("myDatabase");