使用 Tunnel 连接私有数据库

{
	"hyperdrive": [
		{
			"binding": "HYPERDRIVE",
			"id": "<YOUR_DATABASE_ID>" // the ID associated with the Hyperdrive you just created
		}
	]
}

[[hyperdrive]]
binding = "HYPERDRIVE"
id = "<YOUR_DATABASE_ID>"

{
	"hyperdrive": [
		{
			"binding": "HYPERDRIVE",
			"id": "<YOUR_DATABASE_ID>", // the ID associated with the Hyperdrive you just created
			"localConnectionString": "<LOCAL_DATABASE_CONNECTION_URI>"
		}
	]
}

[[hyperdrive]]
binding = "HYPERDRIVE"
id = "<YOUR_DATABASE_ID>"
localConnectionString = "<LOCAL_DATABASE_CONNECTION_URI>"

// 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. Hyperdrive maintains the
		// underlying database connection pool, so creating a new client is fast.
		const client = new Client({
			connectionString: env.HYPERDRIVE.connectionString,
		});

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

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

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

			return new Response("Internal error occurred", { status: 500 });
		}
	},
};

npx wrangler deploy

// mysql2 v3.13.0 or later is required
import { createConnection } from "mysql2/promise";

export default {
	async fetch(request, env, ctx): Promise<Response> {
		// Create a new connection on each request. Hyperdrive maintains the underlying
		// database connection pool, so creating a new connection is fast.
		const connection = await createConnection({
			host: env.HYPERDRIVE.host,
			user: env.HYPERDRIVE.user,
			password: env.HYPERDRIVE.password,
			database: env.HYPERDRIVE.database,
			port: env.HYPERDRIVE.port,

			// Required to enable mysql2 compatibility for Workers
			disableEval: true,
		});

		try {
			// Sample query
			const [results, fields] = await connection.query("SHOW tables;");

			// Return result rows as JSON
			return Response.json({ results, fields });
		} catch (e) {
			console.error(e);
			return Response.json(
				{ error: e instanceof Error ? e.message : e },
				{ status: 500 },
			);
		}
	},
} satisfies ExportedHandler<Env>;

npx wrangler deploy