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Connect Hyperdrive to a Nile Postgres database instance.

This example shows you how to connect Hyperdrive to a Nile ↗ PostgreSQL database instance.

Nile is PostgreSQL re-engineered for multi-tenant applications. Nile's virtual tenant databases provide you with isolation, placement, insight, and other features for your tenant's data and embedding. Refer to Nile documentation ↗ to learn more.

1. Allow Hyperdrive access

You can connect Cloudflare Hyperdrive to any Nile database in your workspace using its connection string - either with a new set of credentials, or using an existing set.

Nile console

To get a connection string from Nile console:

  1. Log in to Nile console ↗, then select a database.
  2. On the left hand menu, click Settings (the bottom-most icon) and then select Connection.
  3. Select the PostgreSQL logo to show the connection string.
  4. Select "Generate credentials" to generate new credentials.
  5. Copy the connection string (without the "psql" part).

You will have obtained a connection string similar to the following:

    postgres://0191c898-...:4d7d8b45-...@eu-central-1.db.thenile.dev:5432/my_database

With the connection string, 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