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URL: https://www.cdata.com/kb/tech/huggingface-jdbc-dbvr.rst

⇱ How to Connect DBeaver to Hugging Face via a JDBC Driver


How to Connect DBeaver to Hugging Face via a JDBC Driver

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Manage Hugging Face data with visual tools in DBeaver like the query browser.

The CData API Driver for JDBC implements JDBC standards that enable third-party tools to interoperate, from wizards in IDEs to business intelligence tools. This article shows how to connect to Hugging Face data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for Hugging Face Data

Follow the steps below to load the driver JAR in DBeaver.

  1. Open the DBeaver application and, in the "Database" menu, select the "Driver Manager" option. Click "New" to open the "Create new driver" form.
  2. In the Settings tab:
    • Set Driver Name to a user-friendly name for the driver (e.g. CData API Driver for JDBC).
    • Set Class Name to the class name for the JDBC driver: cdata.jdbc.api.APIDriver.
    • Set URL Template to jdbc:api:.
    πŸ‘ Configure the new driver settings (Salesforce is shown).
  3. In the Libraries tab, click "Add File," navigate to the "lib" folder in the installation directory (C:\Program Files\CData[product_name] XXXX\) and select the JAR file (cdata.jdbc.API.jar). πŸ‘ Loading the JDBC JAR file (Salesforce is shown).

Create a Connection to Hugging Face Data

Follow the steps below to add credentials and other required connection properties.

  1. In the "Database" menu, click "New Database Connection."
  2. In the "Connect to a database" wizard that results, select the driver you just created (e.g. CData API Driver for JDBC) and click "Next >." πŸ‘ Selecting the driver (Salesforce is shown).
  3. On the Main tab of the configuration wizard, set the JDBC URL, using the required connection properties:

    HuggingFace Hub uses token-based authentication to enable access to its API. The API provides access to machine learning models, datasets, spaces, papers, and other resources on the HuggingFace Hub platform.

    Using API Key Authentication

    To authenticate to HuggingFace Hub, you will need to provide an API Key (Access Token). To obtain your access token:

    1. Log in to your HuggingFace account at https://huggingface.co
    2. Navigate to Settings > Access Tokens
    3. Click "New token" to create a new access token
    4. Select the appropriate permissions (read or write)
    5. Copy the token value

    After obtaining your access token, set the following connection properties:

    • AuthScheme: Set this to APIKey.
    • APIKey: Set this to your HuggingFace access token.

    Example connection string

    Profile=C:\profiles\HuggingFace.apip;ProfileSettings='APIKey=hf_xxxxxxxxxxxxxxxxxxxx';
    

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Hugging Face 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.

    πŸ‘ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

    Below is a typical connection string:

    jdbc:api:Profile=C:\profiles\HuggingFace.apip;ProfileSettings='APIKey=hf_xxxxxxxxxxxxxxxxxxxx';
    
    πŸ‘ Configuring the JDBC URL (Salesforce is shown).
  4. Click "Test Connection ..." to ensure you have configured the connection properly. πŸ‘ A successfully configured connection (Salesforce is shown).
  5. Click "Finish."

Query Hugging Face Data

You can now query information from the tables exposed by the connection: Right-click a Table and then click View Table. The data is available on the Data tab.

πŸ‘ The results of a query in DBeaver. (Salesforce is shown.)

More Information & Free Trial

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Hugging Face data in DBeaver. Join the CData Community or reach out to our Support Team if you have any questions.