Connect to Hugging Face 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 Hugging Face data. This article explains how to connect to Hugging Face 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 Hugging Face data. When you issue complex SQL queries to Hugging Face, the driver pushes supported SQL operations, like filters and aggregations, directly to Hugging Face 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 Hugging Face data using native data types.

Enable Access to Hugging Face

To enable access to Hugging Face 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 Hugging Face Data

Once you copy the JAR files, you can create a project with access to Hugging Face 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 Hugging Face 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 Hugging Face. Set the following properties:
   • Name: Hugging Face Connection Settings
   • Driver class name: cdata.jdbc.api.APIDriver
   • URL: jdbc:api:Profile=C:\profiles\HuggingFace.apip;ProfileSettings='APIKey=hf_xxxxxxxxxxxxxxxxxxxx';
     
     

     Built-in Connection String Designer

     For assistance 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.

     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';
     

     
2. Write your SQL statement. For example:

   SELECT ,  FROM Collections

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. Collections.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 Hugging Face 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 Hugging Face data into a CSV file.

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