Connect to Timescale

This example shows you how to connect Hyperdrive to a Timescale Open external link time-series database. Timescale is built on PostgreSQL, and includes powerful time-series, event and analytics features.

You can learn more about Timescale by referring to their Timescale services documentation Open external link .

​​ 1. Allow Hyperdrive access

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

​​ Timescale Dashboard

To retrieve your credentials and database endpoint in the Timescale Console Open external link :

1. Select the service (database) you want Hyperdrive to connect to.
2. Expand Connection info.
3. Copy the Service URL. The Service URL is the connection string that Hyperdrive will use to connect. This string includes the database hostname, port number and database name.

If you do not have your password stored, you will need to select Forgot your password? and set a new SCRAM password. Save this password, as Timescale will only display it once.

You will end up with a connection string resembling the below:

postgres://tsdbadmin:YOUR_PASSWORD_HERE@pn79dztyy0.xzhhbfensb.tsdb.cloud.timescale.com:31358/tsdb

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, pasting the connection string provided from your database host, or replacing user, password, HOSTNAME_OR_IP_ADDRESS, port, and database_name placeholders with those specific to your database:

$ npx wrangler hyperdrive create $NAME --connection-string="postgres://user:password@HOSTNAME_OR_IP_ADDRESS:PORT/database_name"

This command outputs a binding for wrangler.toml:

wrangler.toml
name = "hyperdrive-example"
main = "src/index.ts"
compatibility_date = "2023-09-11"

node_compat = true # required for database drivers to function

# Pasted from the output of `wrangler hyperdrive create $NAME --connection-string=[...]` above.
[[hyperdrive]]
binding = "HYPERDRIVE"
id = ""

Install the driver:

$ npm install pg

Copy the below Worker code, which passes the connection string generated from env.HYPERDRIVE.connectionString directly to the driver.

src/index.ts
import { Client } from 'pg';

export interface Env {
	// If you set another name in wrangler.toml as the value for 'binding',
	// replace "HYPERDRIVE" with the variable name you defined.
	HYPERDRIVE: Hyperdrive;
}

export default {
	async fetch(request, env, ctx): Promise<Response> {
		console.log(JSON.stringify(env))
		// Create a database client that connects to our database via Hyperdrive
		// Hyperdrive generates a unique connection string you can pass to
		// supported drivers, including node-postgres, Postgres.js, and the many
		// ORMs and query builders that use these drivers.
		const client = new Client({ connectionString: env.HYPERDRIVE.connectionString });

		try {
			// Connect to our database
			await client.connect();

			// Test query
			const result = await client.query({ text: 'SELECT * FROM pg_tables' });

			// Returns result rows as JSON
			return Response.json({ result: result });
		} catch (e) {
			console.log(e);
			return Response.json({ error: e.message }, { status: 500 });
		}
	},
} satisfies ExportedHandler<Env>;

​​ Next steps

• 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.