Build a PostgreSQL Interface for Hugging Face Data using the CData JDBC Driver

There are a vast number of PostgreSQL clients available on the Internet. From standard Drivers to BI and Analytics tools, PostgreSQL is a popular interface for data access. Using our JDBC Drivers, you can now create PostgreSQL entry-points that you can connect to from any standard client.

To access Hugging Face data as a PostgreSQL database, use the CData JDBC Driver for Hugging Face and a JDBC foreign data wrapper (FDW). In this article, we compile the FDW, install it, and query Hugging Face data from PostgreSQL Server.

Connect to Hugging Face Data as a JDBC Data Source

To connect to Hugging Face as a JDBC data source, you will need the following:

• Driver JAR path: The JAR is located in the lib subfolder of the installation directory.

• Driver class:

  cdata.jdbc.api.APIDriver
  

• JDBC URL: The URL must start with "jdbc:api:" and can include any of the connection properties in name-value pairs separated with semicolons.

  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.

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

  A typical JDBC URL is below:

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

Build the JDBC Foreign Data Wrapper

The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. The jdbc2_fdw extension is used as an example (downloadable here).

1. Add a symlink from the shared object for your version of the JRE to /usr/lib/libjvm.so. For example:

   ln -s /usr/lib/jvm/java-6-openjdk/jre/lib/amd64/server/libjvm.so /usr/lib/libjvm.so
   

2. Start the build:

   make install USE_PGXS=1
   

Query Hugging Face Data as a PostgreSQL Database

After you have installed the extension, follow the steps below to start executing queries to Hugging Face data:

1. Log into your database.
2. Load the extension for the database:

   CREATE EXTENSION jdbc2_fdw;
   

3. Create a server object for Hugging Face:

   CREATE SERVER API 
   FOREIGN DATA WRAPPER jdbc2_fdw OPTIONS (
   drivername 'cdata.jdbc.api.APIDriver',
   url 'jdbc:api:Profile=C:\profiles\HuggingFace.apip;ProfileSettings='APIKey=hf_xxxxxxxxxxxxxxxxxxxx';',
   querytimeout '15',
   jarfile '/home/MyUser/CData/CData\ JDBC\ Driver\ for\ Salesforce MyDriverEdition/lib/cdata.jdbc.api.jar'); 
   

4. Create a user mapping for the username and password of a user known to the MySQL daemon.

   CREATE USER MAPPING for postgres SERVER API OPTIONS (
   username 'admin', 
   password 'test');
   

5. Create a foreign table in your local database:

   postgres=# CREATE FOREIGN TABLE collections (
   collections_id text,
   collections_ text,
   collections_ numeric) 
   SERVER API OPTIONS (
   table_name 'collections');
   

You can now execute SELECT commands to Hugging Face:

postgres=# SELECT * FROM collections;