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@docstack/pouchdb-adapter-googledrive

v0.0.6

Published

PouchDB adapter for Google Drive

Downloads

610

Readme

PouchDB Adapter for Google Drive

A persistent, serverless PouchDB adapter that uses Google Drive as a backend storage. Designed for high concurrency, large datasets (via lazy loading), and offline resilience.

Features

  • 🚀 Append-Only Log: Uses an efficient append-only log pattern for fast, conflict-free writes.
  • ⚡ Lazy Loading: Optimizes memory and bandwidth by loading only the Index into memory. Document bodies are fetched on-demand.
  • 🛡️ Optimistic Concurrency Control: Uses ETag-based locking on metadata to prevent race conditions.
  • 📦 Auto-Compaction: Automatically merges logs for performance.
  • 🌍 Universal: Works natively in Node.js 18+, Browsers, and Edge environments (no googleapis dependency).

Requirements

  • Node.js 18+ (for global fetch support) or a modern browser.

Installation

npm install @docstack/pouchdb-adapter-googledrive

Usage

The adapter is initialized as a plugin with your Google Drive access token.

import PouchDB from 'pouchdb-core';
import GoogleDriveAdapter from '@docstack/pouchdb-adapter-googledrive';

// 1. Initialize the Adapter Plugin Factory
const adapterPlugin = GoogleDriveAdapter({
  accessToken: 'YOUR_GOOGLE_ACCESS_TOKEN',
  folderName: 'my-app-db-folder', // Root folder in Drive
  pollingIntervalMs: 2000         // Optional: check for remote changes
});

// 2. Register Plugin
PouchDB.plugin(adapterPlugin);

// 3. Create Database
const db = new PouchDB('user_db', {
  adapter: 'googledrive'
});

await db.post({ title: 'Hello World' });

Dynamic Tokens

If your token expires, you can provide an async function that returns a valid token:

const adapterPlugin = GoogleDriveAdapter({
  accessToken: async () => {
    const session = await getMySession();
    return session.accessToken;
  },
  folderName: 'my-app-db'
});

Architecture

The adapter implements a "Remote-First" architecture:

  • Lazy Loading: db.get(id) fetches data on-demand from Drive.
  • Caching: Changes are indexed locally but bodies are cached in an LRU cache.
  • Resilience: Writes use optimistic locking to handle multi-client concurrency safer.

License

CC-BY-SA-4.0