惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

P
Proofpoint News Feed
云风的 BLOG
云风的 BLOG
Apple Machine Learning Research
Apple Machine Learning Research
Hugging Face - Blog
Hugging Face - Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Google DeepMind News
Google DeepMind News
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
雷峰网
雷峰网
B
Blog
月光博客
月光博客
博客园 - 【当耐特】
WordPress大学
WordPress大学
Microsoft Azure Blog
Microsoft Azure Blog
I
InfoQ
The GitHub Blog
The GitHub Blog
Engineering at Meta
Engineering at Meta
Jina AI
Jina AI
博客园 - Franky
MyScale Blog
MyScale Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Last Week in AI
Last Week in AI
B
Blog RSS Feed
H
Help Net Security

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
React State Management Without Redux or Zustand
Odejobi Abiola Samuel · 2026-06-22 · via DEV Community

React state management has a well-worn path: pick a library (Redux, Zustand, Jotai, MobX), define your store shape, write actions and reducers, connect components, wire up side effects.

It works. But for data that lives on the client — form state, cached API responses, user preferences — there's a simpler approach.

What if your database was the source of truth and your UI just reacted to changes?

The idea

Instead of fetching data from an API, storing it in state, and manually keeping things in sync, you query a local database directly. When data changes, the UI updates automatically. No reducers, no selectors, no cache invalidation.

ctrodb makes this pattern straightforward with three React hooks.

Setup

Wrap your app with DatabaseProvider:

import { Database } from "ctrodb"
import { DatabaseProvider } from "ctrodb/react"

const db = new Database({ name: "todos" })
await db.connect()

export default function App() {
  return (
    <DatabaseProvider db={db}>
      <TodoApp />
    </DatabaseProvider>
  )
}

useQuery

useQuery runs a query and re-fetches whenever the collection changes:

import { useQuery } from "ctrodb/react"

function TodoList() {
  const todos = useQuery("todos", (q) =>
    q.sort({ createdAt: "desc" })
  )

  return (
    <ul>
      {todos.map((todo) => (
        <li key={todo.id}>
          <input
            type="checkbox"
            checked={todo.done}
            onChange={() => todo.update({ done: !todo.done })}
          />
          {todo.title}
        </li>
      ))}
    </ul>
  )
}

The array contains Model instances. todo.update() and todo.delete() trigger re-fetches automatically.

Filter, sort, and paginate using the query builder callback:

const pending = useQuery("todos", (q) =>
  q.where("done", false).sort({ createdAt: "desc" })
)

const page = useQuery("todos", (q) =>
  q.sort({ createdAt: "desc" }).limit(10).offset(page * 10)
)

useDoc

Fetch a single record by ID:

import { useDoc } from "ctrodb/react"

function TodoDetail({ id }) {
  const todo = useDoc("todos", id)
  if (!todo) return <p>Loading...</p>
  return <h2>{todo.title}</h2>
}

useMutation

Create, update, and delete with loading and error state tracking:

import { useMutation } from "ctrodb/react"

function AddTodo() {
  const [title, setTitle] = useState("")
  const { create, loading, error } = useMutation("todos")

  async function handleSubmit(e) {
    e.preventDefault()
    await create({
      title,
      done: false,
      createdAt: new Date().toISOString(),
    })
    setTitle("")
  }

  return (
    <form onSubmit={handleSubmit}>
      <input value={title} onChange={(e) => setTitle(e.target.value)} />
      <button type="submit" disabled={loading || !title.trim()}>
        {loading ? "Adding..." : "Add todo"}
      </button>
      {error && <p className="error">{error.message}</p>}
    </form>
  )
}

How reactivity works

ctrodb uses a Signal pattern. Every collection fires change events on create, update, and delete. The database has a global signal too.

const unsubscribe = db.on((event) => {
  console.log(`${event.type} on ${event.collection}#${event.recordId}`)
})

useQuery subscribes to the database signal, checks if the event's collection matches, and re-fetches. That's the entire reactivity chain — no virtual DOM diffing, no selector memoization, no middleware.

What this replaces

I used to reach for Redux or Zustand for every app that needed shared state. Now I reach for them less and less. If the data can live in IndexedDB, it lives in the database. The React hooks handle the rest.

If you're curious, ctrodb is open source. Try the playground at https://ctrodb.vercel.app/playground or check the docs at https://ctrodb.vercel.app/docs/react/use-query.