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Neon

Neon ↗ is a fully managed serverless PostgreSQL. It separates storage and compute to offer modern developer features, such as serverless, branching, and bottomless storage.

To connect to Neon using Hyperdrive, follow these steps:

1. Allow Hyperdrive access

You can connect Hyperdrive to any existing Neon database by creating a new user and fetching your database connection string.

Neon Dashboard

  1. Go to the Neon dashboard ↗ and select the project (database) you wish to connect to.
  2. Select Roles from the sidebar and select New Role. Enter hyperdrive-user as the name (or your preferred name) and copy the password. Note that the password will not be displayed again: you will have to reset it if you do not save it somewhere.
  3. Select Dashboard from the sidebar > go to the Connection Details pane > ensure you have selected the branch, database and role (for example,hyperdrive-user) that Hyperdrive will connect through.
  4. Select the psql and uncheck the connection pooling checkbox. Note down the connection string (starting with postgres://hyperdrive-user@...) from the text box.

With both the connection string and the password, you can now create a Hyperdrive database configuration.

2. Create a database configuration

To configure Hyperdrive, you will need:

  • The IP address (or hostname) and port of your database.
  • The database username (for example, hyperdrive-demo) you configured in a previous step.
  • The password associated with that username.
  • The name of the database you want Hyperdrive to connect to. For example, postgres.

Hyperdrive accepts the combination of these parameters in the common connection string format used by database drivers:

postgres://USERNAME:PASSWORD@HOSTNAME_OR_IP_ADDRESS:PORT/database_name

Most database providers will provide a connection string you can directly copy-and-paste directly into Hyperdrive.

To create a Hyperdrive configuration with the Wrangler CLI, open your terminal and run the following command. Replace <NAME_OF_HYPERDRIVE_CONFIG> with a name for your Hyperdrive configuration and paste the connection string provided from your database host, or replace user, password, HOSTNAME_OR_IP_ADDRESS, port, and database_name placeholders with those specific to your database:

Terminal window
npx wrangler hyperdrive create <NAME_OF_HYPERDRIVE_CONFIG> --connection-string="postgres://user:password@HOSTNAME_OR_IP_ADDRESS:PORT/database_name"

This command outputs a binding for the Wrangler configuration file:

{
  "name": "hyperdrive-example",
  "main": "src/index.ts",
  "compatibility_date": "2024-08-21",
  "compatibility_flags": [
    "nodejs_compat"
  ],
  "hyperdrive": [
    {
      "binding": "HYPERDRIVE",
      "id": "<ID OF THE CREATED HYPERDRIVE CONFIGURATION>"
    }
  ]
}

3. Use Hyperdrive from your Worker

Install the node-postgres driver:

Terminal window
npm i pg@>8.13.0

If using TypeScript, install the types package:

Terminal window
npm i -D @types/pg

Add the required Node.js compatibility flags and Hyperdrive binding to your wrangler.jsonc file:

{
  "compatibility_flags": [
    "nodejs_compat"
  ],
  "compatibility_date": "2024-09-23",
  "hyperdrive": [
    {
      "binding": "HYPERDRIVE",
      "id": "<your-hyperdrive-id-here>"
    }
  ]
}

Create a new Client instance and pass the Hyperdrive connectionString:

// filepath: src/index.ts
import { Client } from "pg";


export default {
  async fetch(
    request: Request,
    env: Env,
    ctx: ExecutionContext,
  ): Promise<Response> {
    // Create a new client instance for each request.
    const client = new Client({
      connectionString: env.HYPERDRIVE.connectionString,
    });


    try {
      // Connect to the database
      await client.connect();
      console.log("Connected to PostgreSQL database");


      // Perform a simple query
      const result = await client.query("SELECT * FROM pg_tables");


      // Clean up the client after the response is returned, before the Worker is killed
      env.waitUntil(client.end());


      return Response.json({
        success: true,
        result: result.rows,
      });
    } catch (error: any) {
      console.error("Database error:", error.message);


      return Response.error();
    }
  },
};

Next steps