Connect to Rootly Data in Aqua Data Studio
The CData JDBC Driver for Rootly integrates Rootly data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to Rootly data through the connection manager and execute queries.
Create a JDBC Data Source
You can use the connection manager to define connection properties and save them in a new JDBC data source. The Rootly data source can then be accessed from Aqua Data Studio tools.
- In Aqua Data Studio, select Register Server from the Servers menu.
- In the Register Server form, select the 'Generic - JDBC' connection.
- Enter the following JDBC connection properties:
- Name: Enter a name for the data source; for example, Rootly.
- Driver Location: Click the Browse button and select the cdata.jdbc.api.jar file, located in the lib subfolder of the installation directory.
- Driver: Enter the Driver's class name, cdata.jdbc.api.APIDriver.
URL: Enter the JDBC URL, which starts with jdbc:api: and is followed by a semicolon-separated list of connection properties.
Using API Key Authentication
To authenticate using an API key, you will need to obtain your API key from your Rootly account settings.
To get your API key:
- Log in to your Rootly account
- Navigate to Settings > API & Integrations
- Click on "API Tokens"
- Copy the generated token
After setting the following connection properties, you are ready to connect:
- AuthScheme: Set this to APIKey.
- APIKey: Set this to your Rootly API token.
Example Connection String
Profile=Rootly.apip;Authscheme=APIKey;ProfileSettings="APIKey=your_apikey";
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Rootly JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.api.jar
Fill in the connection properties and copy the connection string to the clipboard.
A typical JDBC URL is below:jdbc:api:Profile=Rootly.apip;Authscheme=APIKey;ProfileSettings="APIKey=your_apikey";
Query Rootly Data
You can now query the tables exposed.