Connect to BigCommerce 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 JDBC Driver for BigCommerce, HULFT Integrate can work with live BigCommerce data. This article walks through connecting to BigCommerce and moving the data into a CSV file.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live BigCommerce data. When you issue complex SQL queries to BigCommerce, the driver pushes supported SQL operations, like filters and aggregations, directly to BigCommerce 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 BigCommerce data using native data types.

Enable Access to BigCommerce

To enable access to BigCommerce data from HULFT Integrate projects:

1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.bigcommerce.jar (and cdata.jdbc.bigcommerce.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 BigCommerce Data

Once you copy the JAR files, you can create a project with access to BigCommerce 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.: BigCommercetoCSV)

Once you create the project, add components to the script to copy BigCommerce 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 BigCommerce. Set the following properties:
   • Name: BigCommerce Connection Settings
   • Driver class name: cdata.jdbc.bigcommerce.BigCommerceDriver
   • URL: jdbc:bigcommerce:OAuthClientId=YourClientId; OAuthClientSecret=YourClientSecret; StoreId='YourStoreID'; CallbackURL='http://localhost:33333'InitiateOAuth=GETANDREFRESH
     
     

     Built-in Connection String Designer

     For assistance constructing the JDBC URL, use the connection string designer built into the BigCommerce JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.

     java -jar cdata.jdbc.bigcommerce.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

     Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

     1. Log in to your BigCommerce account.
     2. From the Home Page, select Advanced Settings > API Accounts.
     3. Click Create API Account.
     4. A text box named API Path will appear on your screen.
     5. Inside you can see a URL of the following structure: https://api.bigcommerce.com/stores/{Store Id}/v3.
     6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
     7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.
2. Write your SQL statement. For example:

   SELECT FirstName, LastName FROM Customers

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. Customers.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 BigCommerce 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 BigCommerce data into a CSV file.

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