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RSC Migration: Data Fetching Patterns

This guide covers how to migrate your data fetching from client-side patterns (useEffect + fetch, React Query, SWR) to Server Component patterns. In React on Rails, data flows from Rails to your components as props — eliminating the need for loading states, error handling boilerplate, and client-side caching in many cases.

Part 4 of the RSC Migration Series | Previous: Context and State Management | Next: Third-Party Library Compatibility

The Core Shift: From Client-Side Fetching to Server-Side Data

In the traditional React model, components fetch data on the client after mounting. In the RSC model, data arrives from the server as props — the component simply renders it.

Before: Client-Side Fetching

'use client';

import { useState, useEffect } from 'react';

export default function UserProfile({ userId }) {
const [user, setUser] = useState(null);
const [loading, setLoading] = useState(true);
const [error, setError] = useState(null);

useEffect(() => {
fetch(`/api/users/${userId}`)
.then((res) => res.json())
.then((data) => {
setUser(data);
setLoading(false);
})
.catch((err) => {
setError(err);
setLoading(false);
});
}, [userId]);

if (loading) return <Spinner />;
if (error) return <ErrorMessage error={error} />;

return <div>{user.name}</div>;
}

After: Server Component

// UserProfile.jsx -- Server Component (no directive)

export default function UserProfile({ user }) {
return <div>{user.name}</div>;
}

Rails prepares the data in the controller and passes it as props. The component no longer fetches, manages loading states, or handles errors — it just renders.

What changed:

  • No useState for data, loading, or error
  • No useEffect lifecycle management
  • No 'use client' directive
  • Data comes from Rails as props — no client-side fetching
  • No loading spinner needed in the component itself
  • No JavaScript ships to the client for this component

For pages with multiple data sources, use stream_react_component to stream the rendered HTML progressively.

Data Fetching in React on Rails Pro

In React on Rails applications, Ruby on Rails is the backend. Rather than bypassing Rails to access the database directly from Server Components, React on Rails Pro provides stream_react_component -- a streaming view helper that uses React's renderToPipeableStream to deliver HTML progressively.

This is the recommended data fetching pattern for React on Rails because:

  • It preserves Rails' controller/model/view architecture
  • It leverages Rails' existing data access layers (ActiveRecord, authorization, caching)
  • It supports streaming SSR for progressive HTML delivery
  • All data passes as props -- no client-side fetching or loading states needed

How Streaming Works

Rails view (ERB):

<%= stream_react_component("ProductPage",
props: { name: product.name,
price: product.price,
reviews: product.reviews.includes(:author).as_json,
recommendations: product.recommended_products.as_json }) %>

See also: React on Rails Pro streaming SSR for setup instructions and configuration options.

React component (Server Component):

type Props = {
name: string;
price: number;
reviews: Review[];
recommendations: Product[];
};

export default function ProductPage({ name, price, reviews, recommendations }: Props) {
return (
<div>
<h1>{name}</h1>
<p>${price}</p>

<ReviewList reviews={reviews} />
<RecommendationList items={recommendations} />
</div>
);
}

function ReviewList({ reviews }: { reviews: Review[] }) {
return (
<ul>
{reviews.map((r) => (
<li key={r.id}>{r.text}</li>
))}
</ul>
);
}

How it works:

  1. Rails passes all data as props to stream_react_component
  2. stream_react_component uses React's renderToPipeableStream for streaming SSR
  3. The HTML streams progressively to the browser as React renders the component tree
  4. No client-side fetching, loading states, or error handling needed
  5. The component renders with zero JavaScript cost as a Server Component

More details: For setup instructions and configuration options, see the React on Rails Pro RSC documentation.

Migrating from React Query / TanStack Query

React Query remains valuable in the RSC world for features like polling, optimistic updates, and infinite scrolling. But for simple data display, Server Components replace it entirely.

Pattern 1: Simple Replacement (No Client Cache Needed)

If a component only displays data without mutations, polling, or optimistic updates, replace React Query with a Server Component:

// Before: React Query
'use client';

import { useQuery } from '@tanstack/react-query';

function ProductList() {
const { data, isLoading, error } = useQuery({
queryKey: ['products'],
queryFn: () => fetch('/api/products').then((res) => res.json()),
});

if (isLoading) return <Spinner />;
if (error) return <Error message={error.message} />;

return (
<ul>
{data.map((p) => (
<li key={p.id}>{p.name}</li>
))}
</ul>
);
}
// After: Server Component -- receives data as Rails props
function ProductList({ products }) {
return (
<ul>
{products.map((p) => (
<li key={p.id}>{p.name}</li>
))}
</ul>
);
}
<%# ERB view — Rails passes the data as props %>
<%= stream_react_component("ProductList",
props: { products: Product.limit(50).as_json }) %>

In React on Rails, data comes from Rails as props. The component simply renders it — no fetching, no loading states. For streaming SSR with progressive HTML delivery, use stream_react_component.

Pattern 2: Rails Props as initialData (Keep React Query for Client Features)

When you need React Query's client features (background refetching, mutations, optimistic updates), pass Rails props as initialData so the component renders immediately and React Query takes over for subsequent updates:

// ReactQueryProvider.jsx -- Client Component (provides QueryClient)
'use client';

import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
import { useState } from 'react';

export default function ReactQueryProvider({ children }) {
const [queryClient] = useState(() => new QueryClient());
return <QueryClientProvider client={queryClient}>{children}</QueryClientProvider>;
}
// ProductsPage.jsx -- Server Component
import ReactQueryProvider from './ReactQueryProvider';
import ProductList from './ProductList';

export default function ProductsPage({ products }) {
return (
<ReactQueryProvider>
<ProductList initialProducts={products} />
</ReactQueryProvider>
);
}
// ProductList.jsx -- Client Component (uses React Query hooks)
'use client';

import { useQuery } from '@tanstack/react-query';

export default function ProductList({ initialProducts }) {
const { data: products } = useQuery({
queryKey: ['products'],
queryFn: () => fetch('/api/products').then((res) => res.json()),
initialData: initialProducts,
initialDataUpdatedAt: Date.now(), // Marks the data as fresh as of client render time
staleTime: 5 * 60 * 1000, // Treat Rails-fetched data as fresh for 5 min
});

return (
<ul>
{products.map((p) => (
<li key={p.id}>
{p.name} - ${p.price}
</li>
))}
</ul>
);
}
<%# ERB view — Rails passes the data as props %>
<%= stream_react_component("ProductsPage",
props: { products: Product.limit(50).as_json }) %>

How it works:

  1. Rails controller fetches products and passes them as props
  2. Server Component passes the data to the Client Component as initialProducts
  3. React Query uses initialData to populate the cache -- no loading state on first render
  4. Subsequent refetches happen client-side as usual

Note: initialDataUpdatedAt: Date.now() uses the client render timestamp, not the actual Rails fetch time. This is close enough for most apps. For precise control, pass a timestamp from your Rails controller (e.g., (Time.now.to_f * 1000).to_i) as a prop and use that instead. If you don't need timed refetching at all, use staleTime: Infinity to prevent automatic refetches entirely.

Migrating from SWR

SWR follows a similar pattern -- pass Rails props as fallbackData so the component renders immediately and SWR takes over for revalidation:

// DashboardPage.jsx -- Server Component
import DashboardStats from './DashboardStats';

export default function DashboardPage({ stats }) {
return <DashboardStats fallbackData={stats} />;
}
<%# ERB view — Rails passes the data as props %>
<%= stream_react_component("DashboardPage",
props: { stats: DashboardStats.compute.as_json }) %>
// DashboardStats.jsx -- Client Component
'use client';

import useSWR from 'swr';

const fetcher = (url) => fetch(url).then((res) => res.json());

export default function DashboardStats({ fallbackData }) {
const { data: stats } = useSWR('/api/dashboard/stats', fetcher, {
fallbackData,
});

return (
<div>
<span>Revenue: {stats.revenue}</span>
<span>Users: {stats.users}</span>
</div>
);
}

Avoiding Server-Side Waterfalls

In React on Rails, the most critical performance pitfall is sequential data fetching in the controller. When queries execute one after another, rendering is delayed by their total time:

The Problem: Sequential Queries

# BAD: Each query blocks the next (750ms total)
def show
@user = User.find(params[:user_id]) # 200ms
@stats = DashboardStats.for(@user) # 300ms (waits for user)
@posts = @user.posts.recent # 250ms (sequential)
stream_view_containing_react_components(template: "dashboard/show")
end

Solution 1: Parallelize Independent Queries

When data sources are independent, use Ruby threads to fetch in parallel:

# GOOD: Fetch in parallel (300ms -- limited by slowest)
def show
user_id = params[:user_id]
results = {}
threads = []
threads << Thread.new do
ActiveRecord::Base.connection_pool.with_connection do
results[:user] = User.find(user_id).as_json
end
end
threads << Thread.new do
ActiveRecord::Base.connection_pool.with_connection do
results[:stats] = DashboardStats.compute.as_json
end
end
threads << Thread.new do
ActiveRecord::Base.connection_pool.with_connection do
results[:posts] = Post.recent.as_json
end
end
threads.each(&:join)
@dashboard_props = { title: "My Dashboard" }.merge(results)
stream_view_containing_react_components(template: "dashboard/show")
end
<%# All data fetched in parallel, rendered with streaming SSR %>
<%= stream_react_component("Dashboard", props: @dashboard_props) %>

Note: In production, wrap each thread body in a rescue to avoid incomplete results if a query fails. An unhandled exception in any thread will be re-raised by join.

Solution 2: Separate Components for Independent Data

For data that is truly independent, render multiple stream_react_component calls. Each component renders as its data becomes available:

<%# Each component renders independently %>
<%= stream_react_component("DashboardHeader",
props: { title: "My Dashboard" }) %>
<%= stream_react_component("UserProfile",
props: { user: User.find(params[:user_id]).as_json(only: [:id, :name, :avatar_url]) }) %>
<%= stream_react_component("StatsPanel",
props: { stats: DashboardStats.compute.as_json }) %>
<%= stream_react_component("PostFeed",
props: { posts: Post.recent.as_json }) %>
// Each component is a simple Server Component
function UserProfile({ user }) {
return <div>{user.name}</div>;
}

function StatsPanel({ stats }) {
return (
<div>
<span>Revenue: {stats.revenue}</span>
<span>Users: {stats.users}</span>
</div>
);
}

function PostFeed({ posts }) {
return (
<ul>
{posts.map((p) => (
<li key={p.id}>{p.title}</li>
))}
</ul>
);
}

Solution 3: Pass All Data as Props

Fetch all data in the controller and pass it as props. stream_react_component handles progressive HTML delivery via React's streaming SSR:

<%= stream_react_component("ProductPage",
props: { name: product.name,
price: product.price,
reviews: product.reviews.includes(:author).as_json,
related: product.recommended_products.as_json }) %>
export default function ProductPage({ name, price, reviews, related }) {
return (
<div>
<h1>{name}</h1>
<p>${price}</p>
<ReviewList reviews={reviews} />
<RelatedProducts products={related} />
</div>
);
}

function ReviewList({ reviews }) {
return (
<ul>
{reviews.map((r) => (
<li key={r.id}>{r.text}</li>
))}
</ul>
);
}

function RelatedProducts({ products }) {
return (
<ul>
{products.map((p) => (
<li key={p.id}>{p.name}</li>
))}
</ul>
);
}

All data is available immediately as props. stream_react_component streams the rendered HTML progressively to the browser.

The use() Hook for Client Components

The use() hook lets Client Components resolve promises. In React on Rails, data typically arrives as resolved props from Rails, so use() is most relevant when combining Server Components with client-side data fetching libraries.

Common use() Mistakes in Client Components

Creating a promise inside a Client Component and passing it to use() triggers this runtime error:

"A component was suspended by an uncached promise. Creating promises inside a Client Component or hook is not yet supported, except via a Suspense-compatible library or framework."

Why it happens: React tracks promises passed to use() by object reference identity across re-renders. On each render, it checks whether the promise is the same object as the previous render. When you create a promise inside a Client Component, every render produces a new promise instance -- React sees a different reference, cannot determine if the result is still valid, and throws.

// WRONG: Creating a promise inline — new promise every render
'use client';
import { use } from 'react';

function Comments({ postId }) {
const comments = use(fetch(`/api/comments/${postId}`).then((r) => r.json()));
return (
<ul>
{comments.map((c) => (
<li key={c.id}>{c.text}</li>
))}
</ul>
);
}
// WRONG: Variable doesn't help — still a new promise every render
'use client';
import { use } from 'react';

function Comments({ postId }) {
const promise = getComments(postId); // New promise object each render
const comments = use(promise);
return (
<ul>
{comments.map((c) => (
<li key={c.id}>{c.text}</li>
))}
</ul>
);
}
// WRONG: useMemo seems to work but is NOT reliable
'use client';
import { use, useMemo } from 'react';

function Comments({ postId }) {
const promise = useMemo(() => getComments(postId), [postId]);
const comments = use(promise);
// React does NOT guarantee useMemo stability. From the docs:
// "React may choose to 'forget' some previously memoized values
// and recalculate them on next render."
// If React discards the memoized value, a new promise is created,
// and use() throws the uncached promise error intermittently.
}

The safe approach -- use a Suspense-compatible library:

// CORRECT: Suspense-compatible library (TanStack Query)
'use client';
import { useSuspenseQuery } from '@tanstack/react-query';

function Comments({ postId }) {
const { data: comments } = useSuspenseQuery({
queryKey: ['comments', postId],
queryFn: () => getComments(postId), // client-side fetch wrapper
});
// The library manages promise identity internally —
// same cache key returns the same promise reference.
return (
<ul>
{comments.map((c) => (
<li key={c.id}>{c.text}</li>
))}
</ul>
);
}

Rule: Never create a raw promise for use() inside a Client Component. Use a Suspense-compatible library like TanStack Query or SWR that manages promise identity internally.

Request Deduplication with React.cache()

React on Rails note: In most React on Rails applications, data flows through Rails controller props, so React.cache() is unnecessary. The section below applies when Server Components call data-fetching functions directly (e.g., via API calls from the Node renderer).

React.cache() ensures a function is called only once per request, even when multiple Server Components invoke it:

// lib/data.js -- Define at module level
import { cache } from 'react';

export const getUser = cache(async (id) => {
return await fetchUserById(id);
});
// Navbar.jsx and Sidebar.jsx both import getUser.
// The first call fetches; the second returns the cached result.
async function Navbar({ userId }) {
const user = await getUser(userId);
return <nav>Welcome, {user.name}</nav>;
}

Key properties:

  • Cache is scoped to the current request -- no cross-request data leakage
  • Uses Object.is for argument comparison (pass primitives, not objects)
  • Must be defined at module level, not inside components
  • Only works in Server Components

Note: React.cache() is only available in React Server Component environments. It is not available in Client Components or non-RSC server rendering (e.g., renderToString).

For most React on Rails applications, you won't need React.cache() because data flows through Rails controller props.

Mutations: Rails Controllers, Not Server Actions

Important: React on Rails does not support Server Actions ('use server'). Server Actions run on the Node renderer, which is a rendering server -- it has no access to Rails models, sessions, cookies, or CSRF protection. Do not use 'use server' in React on Rails applications.

All mutations in React on Rails should go through Rails controllers via standard forms or API endpoints:

// CommentForm.jsx -- Client Component
'use client';

import { useState } from 'react';
import ReactOnRails from 'react-on-rails';

export default function CommentForm({ postId }) {
const [content, setContent] = useState('');

async function handleSubmit(e) {
e.preventDefault();
const response = await fetch('/api/comments', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-CSRF-Token': ReactOnRails.authenticityToken(),
},
body: JSON.stringify({ comment: { content, postId } }),
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
setContent('');
}

return (
<form onSubmit={handleSubmit}>
<textarea value={content} onChange={(e) => setContent(e.target.value)} />
<button type="submit">Post Comment</button>
</form>
);
}
<%# ERB view %>
<%= stream_react_component("CommentForm",
props: { postId: @post.id }) %>

Note: ReactOnRails.authenticityToken() reads the CSRF token from the <meta name="csrf-token"> tag, which is the standard Rails approach. This avoids duplicating the token in component props.

This preserves Rails' full controller/model layer -- authentication, authorization, CSRF protection, and validations all work as expected.

When to Keep Client-Side Fetching

Not everything should move to the server. Keep client-side data fetching for:

Use CaseWhy Client-SideRecommended Tool
Real-time data (WebSocket, SSE)Requires persistent connectionNative WebSocket + useState
Polling / auto-refreshPeriodic updates after initial loadReact Query / SWR
Optimistic updatesInstant UI feedback before server confirmsReact Query mutations
Infinite scrollingUser-driven paginationReact Query / SWR
User-triggered searchesResponse to client interactionsuseState + fetch or React Query
Offline-first featuresMust work without serverLocal state + sync

Hybrid Pattern: Rails Props + Client Updates

For features that need server-fetched initial data with client-side updates:

<%# ERB view — Rails passes initial data as props %>
<%= stream_react_component("ChatPage",
props: { channelId: @channel.id,
initialMessages: @channel.messages.recent.as_json }) %>
// ChatPage.jsx -- Server Component
import ChatWindow from './ChatWindow';

export default function ChatPage({ channelId, initialMessages }) {
return (
<div>
<ChannelHeader channelId={channelId} />
<ChatWindow channelId={channelId} initialMessages={initialMessages} />
</div>
);
}
// ChatWindow.jsx -- Client Component
'use client';

import { useState, useEffect } from 'react';

export default function ChatWindow({ channelId, initialMessages }) {
const [messages, setMessages] = useState(initialMessages);

useEffect(() => {
const ws = new WebSocket(`wss://api.example.com/chat/${channelId}`);
ws.onmessage = (event) => {
setMessages((prev) => [...prev, JSON.parse(event.data)]);
};
return () => ws.close();
}, [channelId]);

return <MessageList messages={messages} />;
}

Loading States and Suspense Boundaries

Progressive Streaming Architecture

Structure your page so critical content renders alongside secondary content, with stream_react_component handling progressive HTML delivery:

<%# ERB view — Rails passes all data as props %>
<%= stream_react_component("Page",
props: { title: @page.title,
main_content: @page.main_content.as_json,
recommendations: RecommendationService.for(@page).as_json,
comments: @page.comments.recent.as_json }) %>
export default function Page({ title, main_content, recommendations, comments }) {
return (
<div>
<Header />
<h1>{title}</h1>
<nav>
<SideNav />
</nav>

<main>
<MainContent content={main_content} />
<Recommendations items={recommendations} />
<Comments comments={comments} />
</main>
</div>
);
}

Avoiding "Popcorn UI"

When many Suspense boundaries resolve at different times, content pops in unpredictably. Group related content in a single boundary:

// Bad: Each section pops in individually
<Suspense fallback={<Skeleton1 />}><Section1 /></Suspense>
<Suspense fallback={<Skeleton2 />}><Section2 /></Suspense>
<Suspense fallback={<Skeleton3 />}><Section3 /></Suspense>

// Better: Related sections appear together
<Suspense fallback={<CombinedSkeleton />}>
<Section1 />
<Section2 />
<Section3 />
</Suspense>

Dimension-Matched Skeletons

Use skeleton components that match the dimensions of the real content to prevent layout shift:

function StatsSkeleton() {
return (
<div className="stats-panel" style={{ height: '200px' }}>
<div className="skeleton-bar" />
<div className="skeleton-bar" />
<div className="skeleton-bar" />
</div>
);
}

Migration Checklist

Step 1: Identify Candidates

For each component that fetches data:

  • Does it only display data? → Convert to Server Component (pass data as props via stream_react_component)
  • Does it need polling/optimistic updates? → Keep React Query/SWR, add server prefetch
  • Does it need real-time updates? → Keep client-side, pass initial data from server

Step 2: Convert Simple Fetches

  1. Remove the 'use client' directive
  2. Remove useState for data, loading, and error
  3. Remove the useEffect data fetch
  4. Receive data as props from Rails (controller and/or ERB view helper props)
  5. Use stream_react_component in the ERB view to enable streaming SSR
  6. Remove API routes that were only used for client-side fetching by this component

Step 3: Add Suspense Boundaries

  1. Wrap converted components in <Suspense> at the parent level
  2. Create skeleton components that match content dimensions
  3. Group related data sections in shared boundaries

Step 4: Optimize

  1. Use stream_react_component for streaming SSR with progressive HTML delivery
  2. Parallelize independent Ruby queries with threads to avoid server-side waterfalls
  3. For client-side updates after initial render, use React Query or SWR with initialData/fallbackData

Next Steps