Installing MongoDB on Ubuntu 16.04 (Xenial)

Updated Thursday, March 12, 2020 by Linode Written by Linode

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In this MongoDB tutorial, we explain how to install the database on Ubuntu 16.04, and then provide a short guide on some basic features and functions.

Install MongoDB on Ubuntu 16.04

MongoDB is a database engine that provides access to non-relational, document-oriented databases. It is part of the growing NoSQL movement, along with databases like Redis and Cassandra (although there are vast differences among the many non-relational databases).

MongoDB seeks to provide an alternative to traditional relational database management systems (RDBMS). In addition to its schema-free design and scalable architecture, MongoDB provides a JSON output and specialized, language-specific bindings that make it particularly attractive for use in custom application development and rapid prototyping. MongoDB has been used in a number of large scale production deployments and is currently one of the most popular database engines across all systems.

Since MongoDB can require a significant amount of RAM, we recommend using a high memory Linode with this guide.

Before You Begin

Familiarize yourself with our Getting Started guide and complete the steps for setting your Linode’s hostname and timezone.
Complete the sections of our Securing Your Server to create a standard user account, harden SSH access and remove unnecessary network services.

Update your system:

sudo apt-get update && sudo apt-get upgrade

Note
This guide is written for a non-root user. Commands that require elevated privileges are prefixed with sudo. If you’re not familiar with the sudo command, you can check our Users and Groups guide.

Add the MongoDB Repository

The mongodb-server package from the Ubuntu repository includes version 2.6. However, this version reached end of life in October 2016, so it should not be used in production environments. The most current version available is 4.0 and, as of this writing, the default Ubuntu repositories do not contain an updated package.

Because the Ubuntu repositories don’t contain a current version, we’ll need to use the MongoDB repository.

Import the MongoDB public GPG key for package signing:

sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 9DA31620334BD75D9DCB49F368818C72E52529D4

Add the MongoDB repository to your sources.list.d directory:

echo "deb [ arch=amd64,arm64 ] https://repo.mongodb.org/apt/ubuntu xenial/mongodb-org/4.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.0.list

Update your repositories. This allows apt to read from the newly added MongoDB repo:
```
sudo apt-get update
```

Install MongoDB

Now that the MongoDB repository has been added, we’re ready to install the latest stable version of MongoDB:

sudo apt-get install mongodb-org

This command installs mongodb-org, a meta-package that includes the following:

mongodb-org-server - The standard MongoDB daemon, and relevant init scripts and configurations
mongodb-org-mongos - The MongoDB Shard daemon
mongodb-org-shell - The MongoDB shell, used to interact with MongoDB via the command line
mongodb-org-tools - Contains a few basic tools to restore, import, and export data, as well as a variety of other functions.

These packages provide a good base that will serve most use cases, and we recommend installing them all. However, if you want a more minimal installation, you can selectively install packages from the above list rather than using the mongodb-org metapackage.

For more information on the installation process and options, refer to the official MongoDB installation tutorial.

Configure MongoDB

The configuration file for MongoDB is located at /etc/mongod.conf, and is written in YAML format. Most of the settings are well commented within the file. We’ve outlined the default options below:

dbPath indicates where the database files will be stored (/var/lib/mongodb by default)
systemLog specifies the various logging options, explained below:
- destination tells MongoDB whether to store the log output as a file or syslog
- logAppend specifies whether to append new entries to the end of an existing log when the daemon restarts (as opposed to creating a backup and starting a new log upon restarting)
- path tells the daemon where to send its logging information (/var/log/mongodb/mongod.log by default)
net specifies the various network options, explained below:
- port is the port on which the MongoDB daemon will run
- bindIP specifies the IP addresses MongoDB to which binds, so it can listen for connections from other applications

These are only a few basic configuration options that are set by default.

We strongly recommend uncommenting the security section and adding the following:

/etc/mongod.conf

1
2


security:
  authorization: enabled

The authorization option enables role-based access control for your databases. If no value is specified, any user will have the ability to modify any database. We’ll explain how to create database users and set their permissions later in this guide.

For more information on how to customize these and other values in your configuration file, refer to the official MongoDB configuration tutorial.

After making changes to the MongoDB configuration file, restart the service as shown in the following section.

Start and Stop MongoDB

To start, restart, or stop the MongoDB service, issue the appropriate command from the following:

sudo systemctl start mongod
sudo systemctl restart mongod
sudo systemctl stop mongod

You can also enable MongoDB to start on boot:

sudo systemctl enable mongod

Create Database Users

If you enabled role-based access control in the Configure MongoDB section, create a user administrator with credentials for use on the database:

Open the mongo shell:
```
mongo
```
By default, MongoDB connects to a database called test. Before adding any users, create a database to store user data for authentication:
```
use admin
```
Use the following command to create an administrative user with the ability to create other users on any database. For better security, change the values mongo-admin and password:
```
db.createUser({user: "mongo-admin", pwd: "password", roles:[{role: "userAdminAnyDatabase", db: "admin"}]})
```
Keep these credentials in a safe place for future reference. The output will display all the information written to the database except the password:
```
  
Successfully added user: {
    "user" : "mongo-admin",
    "roles" : [
            {
                "role" : "userAdminAnyDatabase",
                "db" : "admin"
            }
    ]
}
```
Exit the mongo shell:
```
quit()
```
Test your connection to MongoDB with the credentials created in Step 3, using the admin database for authentication:
```
mongo -u mongo-admin -p --authenticationDatabase admin
```
The -u, -p, and --authenticationDatabase options in the above command are required in order to authenticate connections to the shell. Without authentication, the MongoDB shell can be accessed but will not allow connections to databases.

The mongo-admin user created in Step 3 is purely administrative based on the roles specified. It is defined as an administrator of users for all databases, but does not have any database permissions itself. You may use it to create additional users and define their roles. If you are using multiple applications with MongoDB, set up different users with custom permissions for their corresponding databases.
As the mongo-admin user, create a new database to store regular user data for authentication. The following example calls this database user-data:
```
use user-data
```
Permissions for different databases are handled in separate roles objects. This example creates the user, example-user, with read-only permissions for the user-data database and has read and write permissions for the exampleDB database that we’ll create in the Manage Data and Collections section below.

Create a new, non-administrative user to enter test data. Change both example-user and password to something relevant and secure:
```
db.createUser({user: "example-user", pwd: "password", roles:[{role: "read", db: "user-data"}, {role:"readWrite", db: "exampleDB"}]})
```
To create additional users, repeat Steps 6 and 7 as the administrative user, creating new usernames, passwords and roles by substituting the appropriate values.
Exit the mongo shell:
```
quit()
```

For more information on access control and user management, as well as other tips on securing your databases, refer to the MongoDB Security Documentation.

Manage Data and Collections

Much of MongoDB’s popularity comes from its ease of integration. Interactions with databases are done via JavaScript methods, but drivers for other languages are available. This section will demonstrate a few basic features, but we encourage you to do further research based on your specific use case.

Open the MongoDB shell using the example-user we created above:

mongo -u example-user -p --authenticationDatabase user-data

Create a new database. This example calls it exampleDB:
```
use exampleDB
```
Make sure that this database name corresponds with the one for which the user has read and write permissions (we added these permissions in the previous section).

To show the name of the current working database, run the db command.
Create a new collection called exampleCollection:
```
db.createCollection("exampleCollection", {capped: false})
```
If you’re not familiar with MongoDB terminology, you can think of a collection as analogous to a table in a relational database management system. For more information on creating new collections, see the MongoDB documentation on the db.createCollection() method.

Note
Collection names should not include certain punctuation such as hyphens. However, exceptions may not be raised until you attempt to use or modify the collection. For more information, refer to MongoDB’s naming restrictions.
Create sample data for entry into the test database. MongoDB accepts input as documents in the form of JSON objects such as those below. The a and b variables are used to simplify entry; objects can be inserted directly via functions as well.
```
var a = { name : "John Doe",  attributes: { age : 30, address : "123 Main St", phone : 8675309 }}
var b = { name : "Jane Doe",  attributes: { age : 29, address : "321 Main Rd", favorites : { food : "Spaghetti", animal : "Dog" } }}
```
Note that documents inserted into a collection need not have the same schema, which is one of many benefits of using a NoSQL database.
Insert the data into exampleCollection, using the insert method:
```
db.exampleCollection.insert(a)
db.exampleCollection.insert(b)
```
The output for each of these operations will show the number of objects successfully written to the current working database:
```
  
WriteResult({ "nInserted" : 1 })
```
Confirm that the exampleCollection collection was properly created:
```
show collections
```
The output will list all collections containing data within the current working database:
```
  
exampleCollection
```
View unfiltered data in the exampleCollection collection using the find method. This returns up to the first 20 documents in a collection, if a query is not passed:
```
db.exampleCollection.find()
```
The output will resemble the following:
```
  
{ "_id" : ObjectId("5e68d4618bd4ea23cc3f5e96"), "name" : "John Doe", "attributes" : { "age" : 30, "address" : "123 Main St", "phone" : 8675309 } }
{ "_id" : ObjectId("5e68d4628bd4ea23cc3f5e97"), "name" : "Jane Doe", "attributes" : { "age" : 29, "address" : "321 Main Rd", "favorites" : { "food" : "Spaghetti", "animal" : "Dog" } } }
```
You may notice the objects we entered are preceded by _id keys and ObjectId values. These are unique indexes generated by MongoDB when an _id value is not explicitly defined. ObjectId values can be used as primary keys when entering queries, although for ease of use, you may wish to create your own index as you would with any other database system.

The find method can also be used to search for a specific document or field by entering a search term parameter (in the form of an object) rather than leaving it empty. For example:
```
db.exampleCollection.find({"name" : "John Doe"})
```
Running the command above returns a list of documents containing the {"name" : "John Doe"} object:
```
  
{ "_id" : ObjectId("5e68d4618bd4ea23cc3f5e96"), "name" : "John Doe", "attributes" : { "age" : 30, "address" : "123 Main St", "phone" : 8675309 } }
```

Additional MongoDB Functionality

As noted above, MongoDB has an available collection of language-specific drivers that can be used to interact with your databases from within non-JavaScript applications. One advantage these drivers provide is the ability to allow applications written in different languages to use the same database without the strict need for an object data mapper (ODM). If you do want to use an object data mapper, however, many well-supported ODMs are available.

The mongodb-org-tools package we installed also includes several other tools such as mongodump and mongorestore for creating and restoring backups and snapshots, as well as mongoimport and mongoexport for importing and exporting content from extended JSON, or supported CSV or TSV files.

To view the available options or how to use a particular method, append .help() to the end of your commands. For example, to see a list of options for the find method in Step 6 of Manage Data and Collections:

db.exampleCollection.find().help()

More Information

You may wish to consult the following resources for additional information on this topic. While these are provided in the hope that they will be useful, please note that we cannot vouch for the accuracy or timeliness of externally hosted materials.

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