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

量子位
F
Fortinet All Blogs
小众软件
小众软件
人人都是产品经理
人人都是产品经理
The Cloudflare Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Microsoft Azure Blog
Microsoft Azure Blog
J
Java Code Geeks
有赞技术团队
有赞技术团队
D
DataBreaches.Net
Hugging Face - Blog
Hugging Face - Blog
V
Visual Studio Blog
A
About on SuperTechFans
I
InfoQ
The GitHub Blog
The GitHub Blog
Engineering at Meta
Engineering at Meta
雷峰网
雷峰网
H
Hackread – Cybersecurity News, Data Breaches, AI and More
罗磊的独立博客
C
Check Point Blog
大猫的无限游戏
大猫的无限游戏
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
酷 壳 – CoolShell
酷 壳 – CoolShell
MyScale Blog
MyScale Blog

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
When a Single URL Stops Being Enough: Multi-Table Pages i...
Vladimir Simić · 2026-06-23 · via DEV Community

Vladimir Simić

Two Tables, One URL: Solving Inertia.js State Collisions

If you've worked with Inertia.js + TanStack Table for server-side filtering and pagination, you know how satisfying the pattern feels.

A single router.get() call gives you a lot for free:

  • Filter state lives in the URL
  • Links are shareable
  • Browser back/forward works out of the box
  • Sorting, pagination, and filtering are all server-driven

It's a great default — until you need two independent tables on the same page.


The Problem

Picture a typical admin dashboard with a Users table and an Orders table. Both support filtering, sorting, and pagination. Naturally, you reach for the same Inertia pattern you've been using:

router.get('/dashboard', {
  page: 3,
  sortby: 'name',
  status: 'active'
})

That works beautifully for one table. With two, the URL becomes a shared state container — and things start to collide.

When the Users table navigates to page 3:

/dashboard?users_page=3

What happens to the Orders filters? Without extra care, they get reset or overwritten.


Option 1: Namespace Your Parameters

The most obvious fix is prefixing every parameter by table:

users_page=3&users_sort=name
orders_page=2&orders_status=paid

It works. But every filter hook, every query builder, and every table abstraction now needs to understand namespaced parameters. In my experience, that complexity compounds quickly and adds friction faster than it adds value.


Option 2: Give Each Table Its Own Request

Instead of routing all table interactions through router.get(), I switched to axios.get() per table.

Each table gets:

  • Its own dedicated endpoint
  • Its own local state
  • Its own independent requests

No shared URL, no collisions.


The Hook

The core of the pattern is a reusable useDataTable hook:

export function useDataTable<TData>({
  initialData,
  endpoint,
  columns,
}) {
  const [tableData, setTableData] = useState(initialData)
  const [sorting, setSorting] = useState([])
  const [columnFilters, setColumnFilters] = useState([])
  const [pagination, setPagination] = useState({
    pageIndex: 0,
    pageSize: 50,
  })

  const fetchData = useDebounce(async () => {
    const { data } = await axios.get(endpoint, {
      params: {
        filters: Object.fromEntries(
          columnFilters.map(({ id, value }) => [id, value])
        ),
        page: pagination.pageIndex + 1,
        sortby: sorting[0]?.id,
        sort: sorting[0]?.desc ? 'desc' : 'asc',
      },
    })

    setTableData(data)
  }, 300)

  useEffect(() => {
    fetchData()
  }, [sorting, pagination, columnFilters])

  return useReactTable({
    data: tableData.data,
    rowCount: tableData.total,
    manualFiltering: true,
    manualPagination: true,
    manualSorting: true,
  })
}


Why This Works Well

Tables are truly independent. Paginate one, and the other doesn't flinch. That's exactly the behavior you want from an admin dashboard.

The first render still comes from Inertia. Initial data is hydrated from Inertia props:

const [tableData, setTableData] = useState(initialData)

No loading spinner on mount, no client-side waterfall. The page feels fast from the start — the best of both worlds.

CSRF is handled automatically. Because axios reads Laravel's XSRF cookie by default, there's no extra ceremony. It just works.


The Tradeoff

This pattern makes a deliberate trade.

What you gain: independent tables, simpler code than full query namespacing, and cleaner admin pages.

What you give up: filter state is no longer in the URL. Filters aren't bookmarkable. Shared links won't preserve table state.

Whether that matters depends entirely on your use case.


When to Use Each Approach

Stick with router.get() + URL state when:

  • You're building a public-facing search or filter page
  • Users need to share or bookmark filtered views
  • Deep-linking is part of the product (product catalogs, reporting screens, search results)

Switch to axios per table when:

  • It's internal admin tooling
  • The page has multiple independent data views
  • URL shareability simply isn't a requirement

This Isn't a Criticism of Inertia

I almost called this post "When Inertia isn't enough" — but that framing misses the point.

Inertia is excellent. This is just a case where a single URL stops being the right state container for the job. Recognizing that distinction is the whole insight.


How Are You Handling This?

If you're managing multiple server-side tables with Inertia, I'd love to know your approach. Are you namespacing query params? Using local state and axios? Something smarter?

Drop a comment — if this is a common enough pain point, I'm considering packaging the hook or writing a more detailed follow-up.