pgEdge Cloud
Connect Hyperdrive to a pgEdge Postgres database.
This example shows you how to connect Hyperdrive to a pgEdge ↗ Postgres database. pgEdge Cloud provides easy deployment of fully-managed, fully-distributed, and secure Postgres.
You can connect Hyperdrive to any existing pgEdge database with the default user and password provided by pgEdge.
To retrieve your connection string from the pgEdge dashboard:
- Go to the pgEdge dashboard ↗ and select the database you wish to connect to.
- From the Connect to your database section, note down the connection string (starting with
postgres://app@...) from the Connection String text box.
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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