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Rapidly create and deploy powerful Java applications that integrate with BigCommerce Ecommerce Software

Query BigCommerce Data in DataGrip



Create a Data Source for BigCommerce in DataGrip and use SQL to query live BigCommerce data.

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

Create a New Driver Definition for BigCommerce

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

  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 BigCommerce 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.bigcommerce.jar).
    • Set Class to cdata.jdbc.bigcommerce.BigCommerce.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 BigCommerce

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

    Built-in Connection String Designer

    For assistance in 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.
  3. Set URL to the connection string, e.g., jdbc:bigcommerce:OAuthClientId=YourClientId; OAuthClientSecret=YourClientSecret; StoreId='YourStoreID'; CallbackURL='http://localhost:33333'InitiateOAuth=GETANDREFRESH
  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 BigCommerce

To browse through the BigCommerce 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 FirstName, LastName FROM Customers WHERE FirstName = 'Bob'

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