![]() |
VOOZH | about |
Embulk is an open source bulk data loader. When paired with the CData API Driver for JDBC, Embulk easily loads data from Strava to any supported destination. In this article, we explain how to use the CData API Driver for JDBC in Embulk to load Strava data to a MySQL dtabase.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Strava data. When you issue complex SQL queries to Strava, the driver pushes supported SQL operations, like filters and aggregations, directly to Strava and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).
Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData API Driver for JDBC\lib).
Embulk supports JDBC connectivity, so you can easily connect to Strava and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with Strava.
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.
You must create a custom OAuth application to connect to Strava. To create a custom OAuth application:
After setting the following connection properties, you are ready to connect:
Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;
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.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a typical JDBC connection string for Strava:
jdbc:api:Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;
After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.
embulk gem install embulk-input-jdbc
embulk gem install embulk-output-mysql
With the input and output plugins installed, we are ready to load Strava data into MySQL using Embulk.
Start by creating a config file in Embulk, using a name like api-mysql.yml.
in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.api.jar driver_class: cdata.jdbc.api.APIDriver url: jdbc:api:Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333; table: "Athlete" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Athlete" mode: insert
After creating the file, run the Embulk job.
embulk run api-mysql.yml
After running the the Embulk job, find the Salesforce data in the MySQL table.
In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.
in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.api.jar driver_class: cdata.jdbc.api.APIDriver url: jdbc:api:Profile=C:\profiles\Strava.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333; query: "SELECT , FROM Athlete WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Athlete" mode: insert
By using CData API Driver for JDBC as a connector, Embulk can integrate Strava data into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.
Connect to live data from Strava with the API Driver
Connect to Strava