Query Strava Data in DataGrip

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Create a Data Source for Strava in DataGrip and use SQL to query live Strava data.

DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData API Driver for JDBC, DataGrip can work with live Strava data. This article shows how to establish a connection to Strava data in DataGrip.

Create a New Driver Definition for Strava

The steps below describe how to create a new Data Source in DataGrip for Strava.

  1. In DataGrip, click File -> New > Project and name the project
  2. In the Database Explorer, click the plus icon () and select Driver.
  3. In the Driver tab:
    • Set Name to a user-friendly name (e.g. "CData Strava Driver")
    • Set Driver Files to the appropriate JAR file. To add the file, click the plus (), select "Add Files," navigate to the "lib" folder in the driver's installation directory and select the JAR file (e.g. cdata.jdbc.api.jar).
    • Set Class to cdata.jdbc.api.API.jar
    Additionally, in the advanced tab you can change driver properties and some other settings like VM Options, VM environment, VM home path, DBMS, etc
    • For most cases, change the DBMS type to "Unknown" in Expert options to avoid native SQL Server queries (Transact-SQL), which might result in an invalid function error
  4. Click "Apply" then "OK" to save the Connection

Configure a Connection to Strava

  1. Once the connection is saved, click the plus (), then "Data Source" then "CData Strava Driver" to create a new Strava Data Source.
  2. In the new window, configure the connection to Strava with a JDBC URL.

    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.

    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:

    1. Log into the Strava API Settings page
    2. Create a new application or select an existing application
    3. Set the "Authorization Callback Domain" to your callback URL domain (e.g. localhost)
    4. 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;
    
  3. Set URL to the connection string, e.g.,
    jdbc:api:Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;
  4. Click "Apply" and "OK" to save the connection string

At this point, you will see the data source in the Data Explorer.

Execute SQL Queries Against Strava

To browse through the Strava entities (available as tables) accessible through the JDBC Driver, expand the Data Source.

To execute queries, right click on any table and select "New" -> "Query Console."

In the Console, write the SQL query you wish to execute. For example:

SELECT ,  FROM Athlete WHERE  = ''

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Strava data in DataGrip. Reach out to our Support Team if you have any questions.

Ready to get started?

Connect to live data from Strava with the API Driver

Connect to Strava