How to connect to Strava Data in DBVisualizer
The CData API Driver for JDBC implements JDBC standards to provide connectivity to Strava data in applications ranging from business intelligence tools to IDEs. This article shows how to establish a connection to Strava data in DBVisualizer and use the table editor to load Strava data.
Create a New Driver Definition for Strava Data
Follow the steps below to use the Driver Manager to provide connectivity to Strava data from DBVisualizer tools.
- In DBVisualizer, click Tools -> Driver Manager.
- Click the plus sign "" to create a new driver.
- Select "Custom" as the template.
- On the Driver Settings tab:
- Set Name to a user-friendly name (e.g. "CData Strava Driver")
- Set URL Format to jdbc:api:
- In Driver artifacts and jar files (jars are loaded in order from top):
- Click the plus sign "" -> "Add Files"
- Navigate to the "lib" folder in the installation directory (C:\Program Files\CData API Driver for JDBC XXXX\)
- Select the JAR file (cdata.jdbc.API.jar) and click "Open"
- The Driver Class should populate automatically. If not, select class (cdata.jdbc.api.APIDriver).
Define the Connection to the JDBC Data Source
Close the "Driver Manager" and follow the steps below to save connection properties in the JDBC URL.
- In the "Databases" tab, click the plus sign "" and select the driver you just created.
In the "Connection" section, set the following options:
- Database Type: If you selected the wizard option, the database type is automatically detected. If you selected the "No Wizard" option, select the Generic or Auto Detect option in the Database Type menu.
- Driver Type: Select the driver you just created.
Database URL: Enter the full JDBC URL. The syntax of the JDBC URL is jdbc:api: followed by the connection properties in a semicolon-separated list of name-value pairs.
To authenticate to Strava, and connect to your own data or to allow other users to connect to their data, you can use the OAuth standard.
Using OAuth Authentication
You must create a custom OAuth application to connect to Strava. To create a custom OAuth application:
- Log into the Strava API Settings page
- Create a new application or select an existing application
- Set the "Authorization Callback Domain" to your callback URL domain (e.g. localhost)
- Note down the Client ID and Client Secret
After setting the following connection properties, you are ready to connect:
- AuthScheme: Set this to OAuth.
- InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
- OAuthClientId: Set this to the Client ID from your Strava API application.
- OAuthClientSecret: Set this to the Client Secret from your Strava API application.
- CallbackURL: Set this to the redirect URI matching your application's callback domain.
Example connection string:
Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Strava 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.
When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
A typical connection string is below:
jdbc:api:Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;
- NOTE: Since Strava does not require a User or Password to authenticate, you may use whatever values you wish for Database Userid and Database Password.
- On the Connection tab, click Connect.
To browse through tables exposed by the Strava JDBC Driver, right-click a table and click "Open in New Tab."
To execute SQL queries, use the SQL Commander tool: Click SQL Commander -> New SQL Commander. Select the Database Connection, Database, and Schema from the available menus.
See the "Supported SQL" chapter in the help documentation for more information on the supported SQL. See the "Data Model" chapter for table-specific information.