In this post we are going to walk you through how to download and install the PostgreSQL version of the Chinook sample DB on the YugaByte DB distributed SQL database with a replication factor of 3.

What’s YugaByte DB? It’s a high performance distributed SQL database for global, internet-scale apps. YugaByte DB is a PostgreSQL-compatible database. Similar to Google Spanner, YugaByte DB gives you all the scalability characteristics of NoSQL, without sacrificing the ACID transactions or strong consistency you are accustomed to with PostgreSQL.

About the Chinook Sample DB

The Chinook data model represents a digital media store, including tables for artists, albums, media tracks, invoices and customers. Media related data was created using real data from an iTunes Library. Customer and employee information was created using fictitious names and addresses that can be located on Google maps, and other well formatted data (phone, fax, email, etc.). Sales information was auto generated using random data for a four year period. The basic characteristics of Chinook include:

  • 11 tables
  • A variety of indexes, primary and foreign key constraints
  • Over 15,000 rows of data

Here’s an ER diagram of the Chinook data model:

Download and Install YugaByte DB

For complete instructions on how to get up and running on a variety of platforms including prerequisites, check out our Quickstart Guide. In the following section we’ll cover the basic steps for getting up and running in just a few minutes with a local 3 node cluster on your Mac.

Download and Extract YugaByte DB

$ $ wget
$ tar xvfz yugabyte- && cd yugabyte-

Note: The above instructions are for version 1.3.0. To find the latest version of YugaByte DB, visit the quickstart page.

Configure Loopback Addresses

Add a few loopback IP addresses for the various YugaByte DB nodes to use.

sudo ifconfig lo0 alias
sudo ifconfig lo0 alias
sudo ifconfig lo0 alias
sudo ifconfig lo0 alias
sudo ifconfig lo0 alias
sudo ifconfig lo0 alias

Create a 3 Node Cluster

With the command below you’ll create a 3 node cluster with a replication factor of 3.

$ ./bin/yb-ctl --rf 3 create

Check the Status of the YugaByte DB Cluster

Now let’s take a look at the status of the cluster and all the nodes that comprise it.

$ ./bin/yb-ctl status

As you can see from the output, we have three nodes running locally with a replication factor of 3. This means that every piece of data is being replicated on all three nodes.

Enter the YSQL shell

Next run the ysqlsh command to enter the PostgreSQL shell.

$ ./bin/ysqlsh --echo-queries
ysqlsh (11.2)
Type "help" for help.

What’s YSQL? It’s YugaByte DB’s PostgreSQL-compatible, distributed SQL API.

We are now ready to build the Chinook database.

Download and Install the Chinook Database

Download the Chinook Scripts

You can download the Chinook database that is compatible with YugaByte DB from our GitHub repo. The three files are:

Create the Chinook Database


Let’s confirm we have the exercises database by listing out the databases on our cluster.

postgres=# \l

Switch to the chinook database.

postgres=# \c chinook
You are now connected to database "chinook" as user "postgres".

Build the Chinook Tables and Objects

chinook=# \i /Users/yugabyte/chinook_ddl.sql

We can verify that all 11 of our tables have been created by executing:

chinook=# \d

Load Sample Data into Chinook

Next, let’s load our database with sample data.

chinook=# \i /Users/yugabyte/chinook_genres_artists_albums.sql


chinook=# \i /Users/yugabyte/chinook_songs.sql

Do a simple SELECT to pull data from the “Track” table to verify we now have some data to play with.

chinook=# SELECT "Name", "Composer" FROM "Track" LIMIT 10;

Explore the Chinook Sample DB

That’s it! You are ready to start exploring the Chinook sample database.

If you are looking for a new database administration and SQL development tool, make sure to check out DBeaver, which is compatible with YugaByte DB. Installation is simple and the feature set is powerful.

What’s Next

  • Compare YugaByte DB in depth to databases like CockroachDB, Google Cloud Spanner and MongoDB.
  • Get started with YugaByte DB on macOS, Linux, Docker, and Kubernetes.
  • Contact us to learn more about licensing, pricing or to schedule a technical overview.
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Tags: Distributed SQL, Scale Out PostgreSQL

Categories: Distributed SQL, How To, PostgreSQL