# MySQL
source: https://docs.chalk.ai/docs/mysql

## Integrate with MySQL data sources.

Chalk supports MySQL
as a SQL source.
You can configure the MySQL-specific
options using the MySQLSource init args,
or configure the source through your dashboard, and
reference the source in your code.

### Adding MySQL

By navigating to Integrations > Add a data source and selecting MySQL, you'll find a form where you can input information about your MySQL integration.
Note that the data source must be accessible by the IAM Role defined in your cluster deployment.

### Integrations Setup

After configuring your MySQL integration in the dashboard, define your data sources in Python:

```
from chalk.sql import MySQLSource

risk = MySQLSource(name="RISK")
marketing = MySQLSource(name="MARKETING")
```

Then reference them in SQL file resolvers using the name parameter. For example, to query from the RISK source:

```
-- type: online
-- resolves: User
-- source: RISK
SELECT id, credit_score FROM users
```

And to query from the MARKETING source:

```
-- type: online
-- resolves: User
-- source: MARKETING
SELECT id, email, campaign_status FROM users
```