Get started with Typesense
Learn how to create real-time search indexes from Postgres changes in minutes. Use Sequin to keep your Typesense collections in sync with your database.
In this quickstart, you’ll create a real-time data pipeline that streams changes from a Postgres database to a Typesense collection. You’ll:
- Boot Sequin
- Connect to a sample playground database
- Create a Typesense collection
- Set up a sink to sync changes to Typesense
- 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 and Typesense. This same pattern can be used to setup your own Postgres CDC pipeline with Typesense.
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.
Create directory and start services
- Download sequin-docker-compose.zip.
- Unzip the file.
- Navigate to the unzipped directory and start the services:
Verify services are running
Check that Sequin is running using docker ps
:
You should see output like the following:
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:
Open the web console
After starting the Docker Compose services, open the Sequin web console at http://localhost:7376:
Login with default credentials
Use the following default credentials to login:
- Email:
- Password:
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:
Navigate to Databases
In the Sequin web console, click Databases in the sidebar.
Select playground database
Click on the pre-configured sequin-playground
database:
The database “Health” should be green.
View contents of the products table
Let’s get a sense of what’s in the products
table. Run the following command:
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:
We’ll make modifications to this table in a bit.
Create a Typesense Collection
First, let’s start Typesense and create a collection to store our product data:
Start Typesense
Typesense offers a docker image that can be run locally. Let’s start it up:
Create the collection
Run the following command to create a new collection called “products”:
This creates a collection that will automatically detect field types from our data.
Verify the collection
You can verify the collection was created by searching it:
The collection should be empty initially.
Create a Typesense Sink
With the playground database connected and Typesense collection created, you can create a sink. This sink will send changes to the products
table to your Typesense collection:
Navigate to Sinks
Click “Sinks” in the sidebar navigation, then click “Create Sink”.
Select sink type
Select “Typesense” as the sink type and click “Continue”.
Note "Source" configuration
In the “Source” card, note that the sequin-playground
database and products
table are pre-selected. Leave these defaults:
Setup a transform
In the Transform card, click the toggle to view existing transforms. None exist, so click the ”+” icon which will open a window for creating a new transform.
Select “Function transform” and input the following code:
This transform will take the id
, name
, and price
fields from the products
table and use them to create a new document in Typesense.
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:
Configure Typesense
In the Typesense card, enter your Typesense configuration:
- Host:
http://localhost:8108
- API Key:
your-api-key
- Collection:
products
You can leave the rest of the defaults.
Create the sink
You can leave the rest of the defaults. As configured, the Typesense collection will first receive a backfill of all rows currently in the products
table. Then, it will receive all changes to the products
table in real-time.
Click “Create Sink” to finish setting up your Typesense sync.
Query your data in Typesense
With our initial backfill complete, we can now query Typesense for our products
collection:
This query will return all documents in the products
collection.
To query for just products matching “avocado”, we can add a name
parameter to the query:
This query returns all documents in the products
collection where the name
field matches “avocado”.
See changes flow to Typesense
On the new sink’s overview page, you should see the “Health” status turn green, indicating data is flowing to Typesense.
Let’s confirm data is flowing by making some changes and searching in Typesense:
Make some changes
Let’s make some changes to the products
table and see them flow to Typesense.
In your terminal, run the following command to insert a new row into the products
table:
After a few seconds, search for the new product in Typesense:
You should see the new product appear in the search results.
Feel free to try other changes:
Each change will be reflected in Typesense within a few seconds. Try searching for the modified or deleted products to verify the changes.
Try fuzzy search
Typesense supports fuzzy search with typo tolerance. Try searching with a typo:
Even with a typo, you should still find relevant products.
Great work!
You’ve successfully:
- Set up a complete Postgres change data capture pipeline
- Created a Typesense collection
- Loaded existing data through a backfill
- Made changes to the
products
table - Verified changes are flowing to Typesense
- Tested search functionality
Ready to stream
Now you’re ready to connect your own database to Sequin and start streaming changes: