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@nebula-db/adapter-cloudflare-d1

v0.6.0

Published

Cloudflare D1 adapter for NebulaDB - provides SQL storage for edge computing

Downloads

264

Readme

Cloudflare D1 Adapter for NebulaDB

A persistent SQL storage adapter for NebulaDB using Cloudflare D1 (SQLite for the edge).

Features

  • Edge Computing: Optimized for Cloudflare Workers and Pages
  • SQL Backend: Uses D1 (SQLite) for reliable data storage
  • Simple Integration: Works seamlessly with Cloudflare Workers environments
  • Low Latency: Data stored at the edge for fast access globally

Installation

npm install @nebula-db/adapter-cloudflare-d1

Usage

Basic Setup with Cloudflare Workers

import { createDb } from '@nebula-db/core';
import { createCloudflareD1Adapter } from '@nebula-db/adapter-cloudflare-d1';

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Create database with D1 adapter
    const adapter = createCloudflareD1Adapter(env.DB);
    const db = createDb({ adapter });

    // Use collections
    const users = db.collection('users');
    await users.insert({ name: 'Alice', age: 30 });
    const all = await users.find({});

    return new Response(JSON.stringify(all));
  }
};

With wrangler.toml Configuration

[env.production]
d1_databases = [
  { binding = "DB", database_name = "nebula_db", database_id = "xxxx" }
]

Then in your Worker code:

const db = createDb({
  adapter: createCloudflareD1Adapter(env.DB)
});

Advanced: Raw SQL Queries

const adapter = createCloudflareD1Adapter(env.DB);
const results = await adapter.query(
  'SELECT * FROM users WHERE age > ?',
  [25]
);

Environment Setup

  1. Create a D1 database:
wrangler d1 create nebula_db
  1. Update wrangler.toml:
[[d1_databases]]
binding = "DB"
database_name = "nebula_db"
database_id = "your-database-id"
  1. Binding becomes available in env.DB

Data Structure

Documents are stored as:

  • Table per Collection: Each NebulaDB collection becomes a D1 table
  • Column Structure: id (TEXT, PRIMARY KEY) and data (TEXT, JSON)

Example schema:

CREATE TABLE users (
  id TEXT PRIMARY KEY,
  data TEXT NOT NULL
);

The data column stores the document as JSON, allowing flexibility while maintaining queryability.

Limitations

  • No cross-collection transactions (D1 limitation)
  • JSON queries are limited compared to document databases
  • Maximum database size subject to Cloudflare plan

Performance Characteristics

  • Read: O(1) for single documents, O(n) for collection scans
  • Write: O(1) per document, subject to D1 rate limits
  • Global Replication: Automatic across Cloudflare edge locations

Cloudflare Pages Functions

Works with Pages Functions:

// functions/api/users.ts
import { createDb } from '@nebula-db/core';
import { createCloudflareD1Adapter } from '@nebula-db/adapter-cloudflare-d1';

export async function onRequest(context) {
  const db = createDb({
    adapter: createCloudflareD1Adapter(context.env.DB)
  });

  const users = db.collection('users');
  const data = await users.find({});

  return new Response(JSON.stringify(data));
}

Debugging

Enable verbose logging in development:

const adapter = createCloudflareD1Adapter(env.DB);
const db = createDb({ adapter });

// Check underlying database
console.log(adapter.getDatabase());

License

MIT