Feed Strava Data into FineReport
The CData JDBC Driver for Strava fully implements the JDBC standard and can provide Strava data connectivity to a wide variety of BI, reporting, and ETL tools and custom applications. In this article, we explain how to set Strava data as JDBC data source in FineReport and view Strava data as a table in the Report Designer.
Set Up a JDBC Data Source of Strava Data
Follow the instruction below to set Strava data as a FineReport database connection.
- Copy the cdata.jdbc.api.jar file from the lib folder in the CData JDBC Driver for Strava installation directory to the lib folder of the FineReport installation directory. You will need to copy the cdata.jdbc.api.lic file as well.
- From the Server tab, select Define Data Connection, click to add a new connection, and click JDBC.
Next we will set up the data connection definition in the window.
- Database: Others
- JDBC Driver: cdata.jdbc.api.APIDriver
-
URL: A standard JDBC connection string using semicolon-separated connection properties.
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 JDBC URL 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; - Click Connection pool attributes and set Test before getting connections to No.
Click Test connection to ensure you have configured the connection properly. With the connection to Strava set up, you can use it as FineReport data source.
Select Strava Data in the Report Designer.
- Click to add a new template data set and select DB query to open the database query window.
- Choose the JDBC connection that you created from the dropdown list.
- The Strava entities will appear as tables on the left pane.
- Write a SELECT statement for the Strava data tables and columns that you want to load.
- Click preview and data is shown as table.
With these simple steps, Strava can be used as a JDBC data source in FineReport.