Connect to Canny Data in HULFT Integrate

HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData API Driver for JDBC, HULFT Integrate can work with live Canny data. This article explains how to connect to Canny and move the data into a CSV file.

With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live Canny data. When you issue complex SQL queries to Canny, the driver pushes supported SQL operations, like filters and aggregations, directly to Canny and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Canny data using native data types.

Enable Access to Canny

To enable access to Canny data from HULFT Integrate projects:

1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.api.jar (and cdata.jdbc.api.lic), to the jdbc_adapter subfolder for the Integrate Server
2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to Canny Data

Once you copy the JAR files, you can create a project with access to Canny data. Start by opening Integrate Studio and creating a new project.

1. Name the project
2. Ensure the "Create script" checkbox is checked
3. Click Next
4. Name the script (e.g.: APItoCSV)

Once you create the project, add components to the script to copy Canny data to a CSV file.

Configure an Execute Select SQL Component

Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.

1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for Canny. Set the following properties:
   • Name: Canny Connection Settings
   • Driver class name: cdata.jdbc.api.APIDriver
   • URL: jdbc:api:Profile=C:\profiles\Canny.apip;ProfileSettings='APIKey=your-canny-api-key';
     
     

     Built-in Connection String Designer

     For assistance constructing the JDBC URL, use the connection string designer built into the Canny 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.

     Start by setting the Profile connection property to the location of the Canny Profile on disk (e.g. C:\profiles\Canny.apip). Next, set the ProfileSettings connection property to the connection string for Canny (see below).

     Canny API Profile Settings

     Canny uses a secret API key to control access to the API. The API key is sent as a JSON body parameter named 'apiKey' in every HTTP POST request to the Canny API endpoints.

     To authenticate with the Canny API, you need your company-level secret API key. You can find this key in your Canny account under Settings > API.

     After setting the following connection properties, you are ready to connect:

     • AuthScheme: Set this to APIKey.
     • APIKey: Set this to your Canny company-level secret API key from the Settings > API page in your Canny dashboard.
     
2. Write your SQL statement. For example:

   SELECT Id, Name FROM Boards

3. Click "Extraction test" to ensure the connection and query are configured properly
4. Click "Execute SQL statement and set output schema"
5. Click "Finish"

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

1. Set a file to write the query results to (e.g. Boards.csv)
2. Set "Input data" to the "Select SQL" component
3. Add columns for each field selected in the SQL query
4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
5. Click "Finish"

Map Canny Fields to the CSV Columns

Map each column from the "Select" component to the corresponding column for the "CSV" component.

Finish the Script

Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move Canny data into a CSV file.

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