In this quickstart, you’ll create a real-time data pipeline that streams changes from a Postgres database to RabbitMQ. You’ll:

  • Boot Sequin
  • Connect to a sample playground database
  • Configure RabbitMQ to receive database changes
  • See your changes flow in real-time

By the end, you’ll have hands-on experience setting up Postgres change data capture (CDC) with Sequin. This same pattern can be used to setup your own Postgres CDC pipeline with RabbitMQ.

Boot RabbitMQ

If you don’t already have RabbitMQ running, start it with Docker:

docker run -d --name rabbitmq \
  -p 5672:5672 \
  -p 15672:15672 \
  rabbitmq:3-management

This starts RabbitMQ with the management plugin enabled, which we’ll use to set up our exchange and queue.

If you’re using another RabbitMQ instance, ensure you have the connection details ready.

Configure RabbitMQ

Before creating our sink, we need to set up RabbitMQ to receive messages. We’ll:

  1. Create an exchange
  2. Create a queue
  3. Bind the queue to the exchange
1

Open RabbitMQ Management UI

Open http://localhost:15672 in your browser. Login with:

  • Username: guest
  • Password: guest
2

Create an exchange

  1. Click “Exchanges” in the top navigation
  2. Find the “Add a new exchange” accordion and expand it if needed
  3. Enter:
    • Name: sequin
    • Type: topic
    • Leave other settings as default
  4. Click “Add exchange”
3

Create a queue

  1. Click “Queues and streams” in the top navigation
  2. Find the “Add a new queue” accordion and expand it if needed
  3. Enter:
    • Name: products
    • Leave other settings as default
  4. Click “Add queue”
4

Create a binding

  1. On the “Queues and streams” page, click on your new “products” queue
  2. Find the “Bindings” section and expand it if needed
  3. In “Add binding to this queue”, enter:
    • From exchange: sequin
    • Routing key: sequin.changes.sequin-playground.public.products.*
  4. Click “Bind”

This routing key pattern will match all changes to the products table. The format is: sequin.changes.<database>.<schema>.<table>.<action>

You’ve successfully created an exchange, queue, and binding in RabbitMQ.

Run Sequin

The easiest way to get started with Sequin is with our Docker Compose file. This file starts a Postgres database, Redis instance, and Sequin server.

1

Create directory and start services

  1. Download sequin-docker-compose.zip.
  2. Unzip the file.
  3. Navigate to the unzipped directory and start the services:
cd sequin-docker-compose && docker compose up -d
2

Verify services are running

Check that Sequin is running using docker ps:

docker ps

You should see output like the following:

CONTAINER ID   IMAGE                                 STATUS          PORTS                                       NAMES
abc123def456   sequinstream/sequin:latest           Up 10 seconds    0.0.0.0:7376->7376/tcp                     sequin
def456ghi789   redis:7.0                            Up 10 seconds    0.0.0.0:6379->6379/tcp                     sequin-redis
ghi789jkl012   postgres:15                          Up 10 seconds    0.0.0.0:5432->5432/tcp                     sequin-postgres

All three containers should be up and running (status: Up).

Login

The Docker Compose file automatically configures Sequin with an admin user and a playground database.

Let’s log in to the Sequin web console:

1

Open the web console

After starting the Docker Compose services, open the Sequin web console at http://localhost:7376:

2

Login with default credentials

Use the following default credentials to login:

  • Email:
admin@sequinstream.com
  • Password:
sequinpassword!

View the playground database

To get you started quickly, Sequin’s Docker Compose file creates a logical database called sequin_playground with a sample dataset in the public.products table.

Let’s take a look:

1

Navigate to Databases

In the Sequin web console, click Databases in the sidebar.

2

Select playground database

Click on the pre-configured sequin-playground database:

The database “Health” should be green.

3

View contents of the products table

Let’s get a sense of what’s in the products table. Run the following command:

docker exec -i sequin-sequin_postgres-1 \
  psql -U postgres -d sequin_playground -c \
  "select id, name, price from products;"

This command connects to the running Postgres container and runs a psql command.

You should see a list of the rows in the products table:

  id |         name          | price 
----+-----------------------+-------
  1 | Avocados (3 pack)     |  5.99
  2 | Flank Steak (1 lb)    |  8.99
  3 | Salmon Fillet (12 oz) | 14.99
  4 | Baby Spinach (16 oz)  |  4.99
  5 | Sourdough Bread       |  6.99
  6 | Blueberries (6 oz)    |  3.99
(6 rows)

We’ll make modifications to this table in a bit.

Create a RabbitMQ Sink

With the playground database connected and RabbitMQ configured, you can create a sink. This sink will send changes to the products table to your RabbitMQ exchange:

1

Navigate to Sinks

Click “Sinks” in the sidebar navigation, then click “Create Sink”.

2

Select sink type

Select “RabbitMQ” as the sink type and click “Continue”.

3

Note "Source" configuration

In the “Source” card, note that the sequin-playground database and products table are pre-selected. Leave these defaults:

4

Setup a backfill

In the “Initial backfill” card, click the toggle to enable an initial backfill. You can leave the default start position, which will backfill all existing rows in the products table:

5

Configure "RabbitMQ Configuration"

In the “RabbitMQ Configuration” card, enter your connection details:

  • Host: If running locally with Docker, use host.docker.internal
  • Port: The port RabbitMQ is listening on (default: 5672)
  • Exchange: The exchange name we created earlier (sequin)
  • Username and Password: Leave blank
  • SSL: Leave disabled
6

Test the connection

At the bottom of the form, click the “Test Connection” button. If you provided proper credentials, it should succeed.

Sequin can connect to your RabbitMQ server.

7

Create the sink

You can leave the rest of the defaults. As configured, messages will first flow for all existing rows in the products table. Then, you’ll receive all changes to the products table in real-time.

Click “Create Sink” to finish setting up your RabbitMQ sink.

See changes flow through RabbitMQ

On the new sink’s overview page, you should see the “Health” status turn green, indicating data is flowing to RabbitMQ.

Let’s confirm messages are flowing:

1

Messages tab

Click the “Messages” tab. You’ll see a list of the recently delivered messages:

Sequin indicates it backfilled the products table to RabbitMQ.

2

View in RabbitMQ

You can view messages in your queue using the RabbitMQ management UI or CLI:

docker exec -it rabbitmq rabbitmqadmin get queue=products count=5 --format=pretty_json

You should see the messages that were sent from Sequin. These are read events from the initial backfill of the products table:

Messages are flowing from Sequin to RabbitMQ.

3

Make some changes

Let’s make some changes to the products table and see them flow through RabbitMQ.

In your terminal, run the following command to insert a new row into the products table:

docker exec -i sequin-sequin_postgres-1 \
  psql -U postgres -d sequin_playground -c \
  "insert into products (name, price) values ('Organic Honey (16 oz)', 12.99);"

Check your queue for the new message:

docker exec -it rabbitmq rabbitmqadmin get queue=products count=10 --format=pretty_json

You should see a message corresponding to the inserted row.

Feel free to try other changes:

Each change will appear in your RabbitMQ queue within a few seconds.

If you want to purge your RabbitMQ queue, you can do so by running:

docker exec -it rabbitmq rabbitmqadmin purge queue name=products

Great work!

You’ve successfully:

  • Set up a complete Postgres change data capture pipeline
  • Configured RabbitMQ with an exchange, queue, and binding
  • Loaded existing data through a backfill
  • Made changes to the products table
  • Verified changes are flowing through RabbitMQ

Ready to stream

Now you’re ready to connect your own database to Sequin and start streaming changes:

Was this page helpful?