Digital Ocean
Connect Hyperdrive to a Digital Ocean Postgres database instance.
This example shows you how to connect Hyperdrive to a Digital Ocean database instance.
To allow Hyperdrive to connect to your database, you will need to ensure that Hyperdrive has valid user credentials and network access.
- Go to the DigitalOcean dashboard and select the database you wish to connect to.
- Go to the Overview tab.
- Under the Connection Details panel, select Public network.
- On the dropdown menu, select Connection string > show-password.
- Copy the connection string.
With the connection string, you can now create a Hyperdrive 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_nameMost 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:
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>" } ]}name = "hyperdrive-example"main = "src/index.ts"compatibility_date = "2024-08-21"compatibility_flags = ["nodejs_compat"]
# Pasted from the output of `wrangler hyperdrive create <NAME_OF_HYPERDRIVE_CONFIG> --connection-string=[...]` above.[[hyperdrive]]binding = "HYPERDRIVE"id = "<ID OF THE CREATED HYPERDRIVE CONFIGURATION>"Install the node-postgres driver:
npm i pg@>8.16.3yarn add pg@>8.16.3pnpm add pg@>8.16.3If using TypeScript, install the types package:
npm i -D @types/pgyarn add -D @types/pgpnpm add -D @types/pgAdd 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>" } ]}# required for database drivers to functioncompatibility_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.tsimport { 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 ctx.waitUntil(client.end());
return Response.json({ success: true, result: result.rows, }); } catch (error: any) { console.error("Database error:", error.message);
new Response('Internal error occurred', { status: 500 }); } },};- Learn more about How Hyperdrive Works.
- Refer to the troubleshooting guide to debug common issues.
- Understand more about other storage options available to Cloudflare Workers.
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