Connect to DeTrack Data in HULFT Integrate

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Connect to DeTrack as a JDBC data source 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 DeTrack data. This article explains how to connect to DeTrack 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 DeTrack data. When you issue complex SQL queries to DeTrack, the driver pushes supported SQL operations, like filters and aggregations, directly to DeTrack 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 DeTrack data using native data types.

Enable Access to DeTrack

To enable access to DeTrack 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 DeTrack Data

Once you copy the JAR files, you can create a project with access to DeTrack 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 Creating a new project.
  4. Name the script (e.g.: APItoCSV)

Once you create the project, add components to the script to copy DeTrack 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 DeTrack. Set the following properties:
    • Name: DeTrack Connection Settings
    • Driver class name: cdata.jdbc.api.APIDriver
    • URL: jdbc:api:Profile=C:\profiles\DeTrack.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_api_key';

      JDBC connection settings (Salesforce is shown).

      Built-in Connection String Designer

      For assistance constructing the JDBC URL, use the connection string designer built into the DeTrack 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 DeTrack Profile on disk (e.g. C:\profiles\DeTrack.apip). Next, set the ProfileSettings connection property to the connection string for DeTrack (see below).

      DeTrack API Profile Settings

      DeTrack uses API Key authentication. Your DeTrack API key is used to authenticate all requests via the X-API-Key header. You can obtain your API key from your DeTrack account settings at app.detrack.com under Settings > API & Webhooks.

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

      • AuthScheme: Set this to APIKey.
      • APIKey: Set this to your DeTrack API key.
      Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
  2. Write your SQL statement. For example:
    SELECT Id, Name FROM Routes
  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" Configuring the Execute Select SQL operation

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. Routes.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 DeTrack 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 DeTrack data into a CSV file.

A completed script.

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

Ready to get started?

Connect to live data from DeTrack with the API Driver

Connect to DeTrack