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Getting started

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This guide instructs you through:

  • Creating your first database using D1, Cloudflare's native serverless SQL database.
  • Creating a schema and querying your database via the command-line.
  • Connecting a Cloudflare Worker to your D1 database using bindings, and querying your D1 database programmatically.

You can perform these tasks through the CLI or through the Cloudflare dashboard.

Note

If you already have an existing Worker and an existing D1 database, follow this tutorial from 3. Bind your Worker to your D1 database.

Quick start

If you want to skip the steps and get started quickly, click on the button below.

Deploy to Cloudflare

This creates a repository in your GitHub account and deploys the application to Cloudflare Workers. Use this option if you are familiar with Cloudflare Workers, and wish to skip the step-by-step guidance.

You may wish to manually follow the steps if you are new to Cloudflare Workers.

Prerequisites

  1. Sign up for a Cloudflare account.
  2. Install Node.js.

1. Create a Worker

Create a new Worker as the means to query your database.

CLIDashboard

  1. Create a new project named d1-tutorial by running:

    npmyarnpnpm

    npm create cloudflare@latest -- d1-tutorial

    For setup, select the following options:

    • For What would you like to start with?, choose Hello World example.
    • For Which template would you like to use?, choose Worker only.
    • For Which language do you want to use?, choose TypeScript.
    • For Do you want to use git for version control?, choose Yes.
    • For Do you want to add an AGENTS.md file to help AI coding tools understand Cloudflare APIs?, choose Yes.
    • For Do you want to deploy your application?, choose No (we will be making some changes before deploying).

    This creates a new d1-tutorial directory as illustrated below.

    • d1-tutorial
      • node_modules/
      • test/
      • src
        • index.ts
      • package-lock.json
      • package.json
      • testconfig.json
      • vitest.config.mts
      • worker-configuration.d.ts
      • wrangler.jsonc

    Your new d1-tutorial directory includes:

Note

If you are familiar with Cloudflare Workers, or initializing projects in a Continuous Integration (CI) environment, initialize a new project non-interactively by setting CI=true as an environmental variable when running create cloudflare@latest.

For example: CI=true npm create cloudflare@latest d1-tutorial --type=simple --git --ts --deploy=false creates a basic "Hello World" project ready to build on.

2. Create a database

A D1 database is conceptually similar to many other SQL databases: a database may contain one or more tables, the ability to query those tables, and optional indexes. D1 uses the familiar SQL query language (as used by SQLite).

To create your first D1 database:

CLIDashboard

  1. Change into the directory you just created for your Workers project:

    cd d1-tutorial

  2. Run the following wrangler@latest d1 command and give your database a name. In this tutorial, the database is named prod-d1-tutorial:

    Note

    The Wrangler command-line interface is Cloudflare's tool for managing and deploying Workers applications and D1 databases in your terminal. It was installed when you used npm create cloudflare@latest to initialize your new project.

    While Wrangler gets installed locally to your project, you can use it outside the project by using the command npx wrangler.

    npx wrangler@latest d1 create prod-d1-tutorial
    ✅ Successfully created DB 'prod-d1-tutorial' in region WEUR
Created your new D1 database.

{
	"d1_databases": [
		{
			"binding": "prod_d1_tutorial",
			"database_name": "prod-d1-tutorial",
			"database_id": "<unique-ID-for-your-database>"
		}
	]
}

  3. When prompted: Would you like Wrangler to add it on your behalf?, select Yes. This will automatically add the binding to your Wrangler configuration file.

This creates a new D1 database and outputs the binding configuration needed in the next step.

Note

For reference, a good database name:

  • Uses a combination of ASCII characters, shorter than 32 characters, and uses dashes (-) instead of spaces.
  • Is descriptive of the use-case and environment. For example, "staging-db-web" or "production-db-backend".
  • Only describes the database, and is not directly referenced in code.

3. Bind your Worker to your D1 database

You must create a binding for your Worker to connect to your D1 database. Bindings allow your Workers to access resources, like D1, on the Cloudflare developer platform.

To bind your D1 database to your Worker:

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You can automatically add the binding to your Wrangler configuration file when you run the wrangler d1 create command (step 3 of 2. Create a database).

But if you wish to add the binding manually, follow the steps below:

  1. Copy the lines obtained from step 2 of 2. Create a database from your terminal.

  2. Add them to the end of your Wrangler file.

    wrangler.jsoncwrangler.toml

    {
  "d1_databases": [
    {
      "binding": "prod_d1_tutorial", // available in your Worker on env.DB
      "database_name": "prod-d1-tutorial",
      "database_id": "<unique-ID-for-your-database>"
    }
  ]
}

    Specifically:

    • The value (string) you set for binding is the binding name, and is used to reference this database in your Worker. In this tutorial, name your binding prod_d1_tutorial.
    • The binding name must be a valid JavaScript variable name. For example, binding = "MY_DB" or binding = "productionDB" would both be valid names for the binding.
    • Your binding is available in your Worker at env.<BINDING_NAME> and the D1 Workers Binding API is exposed on this binding.

Note

When you execute the wrangler d1 create command, the client API package (which implements the D1 API and database class) is automatically installed. For more information on the D1 Workers Binding API, refer to Workers Binding API.

You can also bind your D1 database to a Pages Function. For more information, refer to Functions Bindings for D1.

4. Run a query against your D1 database

Populate your D1 database

CLIDashboard

After correctly preparing your Wrangler configuration file, set up your database. Create a schema.sql file using the SQL syntax below to initialize your database.

  1. Copy the following code and save it as a schema.sql file in the d1-tutorial Worker directory you created in step 1:

    DROP TABLE IF EXISTS Customers;
CREATE TABLE IF NOT EXISTS Customers (CustomerId INTEGER PRIMARY KEY, CompanyName TEXT, ContactName TEXT);
INSERT INTO Customers (CustomerID, CompanyName, ContactName) VALUES (1, 'Alfreds Futterkiste', 'Maria Anders'), (4, 'Around the Horn', 'Thomas Hardy'), (11, 'Bs Beverages', 'Victoria Ashworth'), (13, 'Bs Beverages', 'Random Name');

  2. Initialize your database to run and test locally first. Bootstrap your new D1 database by running:

    npx wrangler d1 execute prod-d1-tutorial --local --file=./schema.sql
    ⛅️ wrangler 4.13.2
-------------------

🌀 Executing on local database prod-d1-tutorial (<DATABASE_ID>) from .wrangler/state/v3/d1:
🌀 To execute on your remote database, add a --remote flag to your wrangler command.
🚣 3 commands executed successfully.

    Note

    The command npx wrangler d1 execute initializes your database locally, not on the remote database.

  3. Validate that your data is in the database by running:

    npx wrangler d1 execute prod-d1-tutorial --local --command="SELECT * FROM Customers"
     🌀 Executing on local database jun-d1-db-gs-2025 (cf91ec5c-fa77-4d49-ad8e-e22921b996b2) from .wrangler/state/v3/d1:
 🌀 To execute on your remote database, add a --remote flag to your wrangler command.
 🚣 1 command executed successfully.
 ┌────────────┬─────────────────────┬───────────────────┐
 │ CustomerId │ CompanyName         │ ContactName       │
 ├────────────┼─────────────────────┼───────────────────┤
 │ 1          │ Alfreds Futterkiste │ Maria Anders      │
 ├────────────┼─────────────────────┼───────────────────┤
 │ 4          │ Around the Horn     │ Thomas Hardy      │
 ├────────────┼─────────────────────┼───────────────────┤
 │ 11         │ Bs Beverages        │ Victoria Ashworth │
 ├────────────┼─────────────────────┼───────────────────┤
 │ 13         │ Bs Beverages        │ Random Name       │
 └────────────┴─────────────────────┴───────────────────┘

Write queries within your Worker

After you have set up your database, run an SQL query from within your Worker.

CLIDashboard

  1. Navigate to your d1-tutorial Worker and open the index.ts file. The index.ts file is where you configure your Worker's interactions with D1.

  2. Clear the content of index.ts.

  3. Paste the following code snippet into your index.ts file:

    Python

    entry.py
    from workers import Response, WorkerEntrypoint
from urllib.parse import urlparse

class Default(WorkerEntrypoint):
    async def fetch(self, request):
        pathname = urlparse(request.url).path
        if pathname == "/api/beverages":
            query = (
                await self.env.prod_d1_tutorial.prepare(
                    "SELECT * FROM Customers WHERE CompanyName = ?",
                )
                .bind("Bs Beverages")
                .run()
            )
            return Response.json(query.results)
        return Response(
            "Call /api/beverages to see everyone who works at Bs Beverages"
        )

    In the code above, you:

    1. Define a binding to your D1 database in your code. This binding matches the binding value you set in the Wrangler configuration file under d1_databases.
    2. Query your database using env.prod_d1_tutorial.prepare to issue a prepared query with a placeholder (the ? in the query).
    3. Call bind() to safely and securely bind a value to that placeholder. In a real application, you would allow a user to pass the CompanyName they want to list results for. Using bind() prevents users from executing arbitrary SQL (known as "SQL injection") against your application and deleting or otherwise modifying your database.
    4. Execute the query by calling run() to return all rows (or none, if the query returns none).
    5. Return your query results, if any, in JSON format with Response.json(results).

After configuring your Worker, you can test your project locally before you deploy globally.

5. Deploy your application

Deploy your application on Cloudflare's global network.

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To deploy your Worker to production using Wrangler, you must first repeat the database configuration steps after replacing the --local flag with the --remote flag to give your Worker data to read. This creates the database tables and imports the data into the production version of your database.

  1. Create tables and add entries to your remote database with the schema.sql file you created in step 4. Enter y to confirm your decision.

    npx wrangler d1 execute prod-d1-tutorial --remote --file=./schema.sql
    🌀 Executing on remote database prod-d1-tutorial (<DATABASE_ID>):
🌀 To execute on your local development database, remove the --remote flag from your wrangler command.
Note: if the execution fails to complete, your DB will return to its original state and you can safely retry.
├ 🌀 Uploading <DATABASE_ID>.a7f10c4651cc3a26.sql
│ 🌀 Uploading complete.
│
🌀 Starting import...
🌀 Processed 3 queries.
🚣 Executed 3 queries in 0.00 seconds (5 rows read, 6 rows written)
Database is currently at bookmark 00000000-0000000a-00004f6d-b85c16a3dbcf077cb8f258b4d4eb965e.
┌────────────────────────┬───────────┬──────────────┬────────────────────┐
│ Total queries executed │ Rows read │ Rows written │ Database size (MB) │
├────────────────────────┼───────────┼──────────────┼────────────────────┤
│ 3                      │ 5         │ 6            │ 0.02               │
└────────────────────────┴───────────┴──────────────┴────────────────────┘

  2. Validate the data is in production by running:

    npx wrangler d1 execute prod-d1-tutorial --remote --command="SELECT * FROM Customers"
    
⛅️ wrangler 4.33.1
───────────────────
🌀 Executing on remote database jun-d1-db-gs-2025 (cf91ec5c-fa77-4d49-ad8e-e22921b996b2):
🌀 To execute on your local development database, remove the --remote flag from your wrangler command.
🚣 Executed 1 command in 0.1797ms
┌────────────┬─────────────────────┬───────────────────┐
│ CustomerId │ CompanyName         │ ContactName       │
├────────────┼─────────────────────┼───────────────────┤
│ 1          │ Alfreds Futterkiste │ Maria Anders      │
├────────────┼─────────────────────┼───────────────────┤
│ 4          │ Around the Horn     │ Thomas Hardy      │
├────────────┼─────────────────────┼───────────────────┤
│ 11         │ Bs Beverages        │ Victoria Ashworth │
├────────────┼─────────────────────┼───────────────────┤
│ 13         │ Bs Beverages        │ Random Name       │
└────────────┴─────────────────────┴───────────────────┘

  3. Deploy your Worker to make your project accessible on the Internet. Run:

    npx wrangler deploy
    ⛅️ wrangler 4.33.1
────────────────────
Total Upload: 0.52 KiB / gzip: 0.33 KiB
Your Worker has access to the following bindings:
Binding                                        Resource
env.prod_d1_tutorial (prod-d1-tutorial)        D1 Database

Uploaded prod-d1-tutorial (4.17 sec)
Deployed prod-d1-tutorial triggers (3.49 sec)
https://prod-d1-tutorial.pcx-team.workers.dev
Current Version ID: 42c82f1c-ff2b-4dce-9ea2-265adcccd0d5

    You can now visit the URL for your newly created project to query your live database.

    For example, if the URL of your new Worker is d1-tutorial.<YOUR_SUBDOMAIN>.workers.dev, accessing https://d1-tutorial.<YOUR_SUBDOMAIN>.workers.dev/api/beverages sends a request to your Worker that queries your live database directly.

  4. Test your database is running successfully. Add /api/beverages to the provided Wrangler URL. For example, https://d1-tutorial.<YOUR_SUBDOMAIN>.workers.dev/api/beverages.

6. (Optional) Develop locally with Wrangler

If you are using D1 with Wrangler, you can test your database locally. While in your project directory:

  1. Run wrangler dev:

    npx wrangler dev

    When you run wrangler dev, Wrangler provides a URL (most likely localhost:8787) to review your Worker.

  2. Go to the URL.

    The page displays Call /api/beverages to see everyone who works at Bs Beverages.

  3. Test your database is running successfully. Add /api/beverages to the provided Wrangler URL. For example, localhost:8787/api/beverages.

If successful, the browser displays your data.

Note

You can only develop locally if you are using Wrangler. You cannot develop locally through the Cloudflare dashboard.

7. (Optional) Delete your database

To delete your database:

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Run:

npx wrangler d1 delete prod-d1-tutorial

Caution

Note that deleting your D1 database will stop your application from functioning as before.

If you want to delete your Worker:

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Run:

npx wrangler delete d1-tutorial

Summary

In this tutorial, you have:

  • Created a D1 database
  • Created a Worker to access that database
  • Deployed your project globally

Next steps

If you have any feature requests or notice any bugs, share your feedback directly with the Cloudflare team by joining the Cloudflare Developers community on Discord.

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