nextjs-rsc-performance-patterns
Performance optimization patterns for Next.js 14+ React Server Components. PROACTIVELY activate for: (1) Optimizing RSC data fetching, (2) Implementing streaming with Suspense, (3) Configuring caching and revalidation, (4) Parallel data fetching, (5) Partial Prerendering. Triggers: "rsc", "server component", "nextjs performance", "data fetching", "caching", "revalidate", "suspense", "streaming", "partial prerendering"
What this skill does
# Next.js RSC Performance Patterns
This skill provides expert knowledge on optimizing Next.js 14+ applications using the App Router, focusing on React Server Components (RSC), data fetching strategies, and rendering optimizations to improve Core Web Vitals.
## RSC Data Fetching
React Server Components enable you to fetch data directly on the server, eliminating client-server request waterfalls and reducing JavaScript bundle size.
### Parallel Data Fetching
Fetch independent data sources in parallel to minimize total wait time:
```tsx
// app/product/[id]/page.tsx - GOOD
async function ProductPage({ params }: { params: { id: string } }) {
// These fetches happen in parallel - Next.js automatically deduplicates
const productPromise = fetch(`https://api.example.com/products/${params.id}`)
const reviewsPromise = fetch(`https://api.example.com/reviews?product=${params.id}`)
// Wait for both to complete
const [productRes, reviewsRes] = await Promise.all([productPromise, reviewsPromise])
const product = await productRes.json()
const reviews = await reviewsRes.json()
return <ProductDetails product={product} reviews={reviews} />
}
```
### Sequential vs Parallel Pattern
**Sequential (when data depends on previous result):**
```tsx
async function UserDashboard({ userId }: { userId: string }) {
const user = await fetchUser(userId)
// This depends on user data, so must be sequential
const preferences = await fetchPreferences(user.preferencesId)
return <Dashboard user={user} preferences={preferences} />
}
```
**Parallel (when data is independent):**
```tsx
async function UserDashboard({ userId }: { userId: string }) {
// Fetch independent data in parallel
const [user, notifications, activity] = await Promise.all([
fetchUser(userId),
fetchNotifications(userId),
fetchActivity(userId)
])
return <Dashboard user={user} notifications={notifications} activity={activity} />
}
```
### Next.js Extended fetch API
Next.js extends the native fetch API with automatic request deduplication and granular caching control:
```tsx
// Cached for 1 hour (3600 seconds)
const data = await fetch('https://api.example.com/data', {
next: { revalidate: 3600 }
})
// Revalidate on-demand using tags
const data = await fetch('https://api.example.com/products', {
next: { tags: ['products'] }
})
// Later, trigger revalidation: revalidateTag('products')
// Force fresh data on every request (opt out of caching)
const data = await fetch('https://api.example.com/realtime', {
cache: 'no-store'
})
```
## Streaming and Suspense
Streaming enables progressive loading, improving Time to First Byte (TTFB) and perceived performance by sending HTML to the browser incrementally.
### Basic Suspense Pattern
```tsx
// app/dashboard/page.tsx - GOOD
import { Suspense } from 'react'
async function RecentOrders() {
// Slow data fetch
const orders = await fetch('https://api.example.com/orders').then(r => r.json())
return <OrdersList orders={orders} />
}
export default function Dashboard() {
return (
<div>
<h1>Dashboard</h1>
<Suspense fallback={<div>Loading orders...</div>}>
<RecentOrders />
</Suspense>
</div>
)
}
```
The static content (h1) is sent immediately, while `RecentOrders` streams in when ready.
### Multiple Suspense Boundaries
```tsx
export default function Dashboard() {
return (
<div>
<h1>Dashboard</h1>
{/* These load independently and stream in as ready */}
<Suspense fallback={<Skeleton />}>
<RecentOrders />
</Suspense>
<Suspense fallback={<Skeleton />}>
<Analytics />
</Suspense>
<Suspense fallback={<Skeleton />}>
<Notifications />
</Suspense>
</div>
)
}
```
### loading.js Convention
Next.js automatically wraps page content in a Suspense boundary when you provide a `loading.js` file:
```tsx
// app/dashboard/loading.tsx
export default function Loading() {
return <div>Loading dashboard...</div>
}
// app/dashboard/page.tsx
export default async function Dashboard() {
const data = await fetchDashboardData() // Suspense boundary is automatic
return <DashboardView data={data} />
}
```
## Partial Prerendering (PPR)
Partial Prerendering (Next.js 14.1+) combines static and dynamic rendering within a single route, serving a static shell immediately while streaming dynamic content.
### Enable PPR
```js
// next.config.js
module.exports = {
experimental: {
ppr: true,
},
}
```
### PPR Pattern
```tsx
// app/product/[id]/page.tsx
import { Suspense } from 'react'
export const experimental_ppr = true
async function Reviews({ productId }: { productId: string }) {
// Dynamic content - will be streamed
const reviews = await fetch(`https://api.example.com/reviews/${productId}`, {
cache: 'no-store'
}).then(r => r.json())
return <ReviewList reviews={reviews} />
}
export default async function ProductPage({ params }: { params: { id: string } }) {
// Static content - prerendered
const product = await fetch(`https://api.example.com/products/${params.id}`, {
next: { revalidate: 3600 }
}).then(r => r.json())
return (
<div>
<ProductInfo product={product} />
{/* Suspense boundary marks the dynamic "hole" */}
<Suspense fallback={<ReviewsSkeleton />}>
<Reviews productId={params.id} />
</Suspense>
</div>
)
}
```
The static shell (product info) is instantly served, while reviews stream in dynamically.
## Caching and Revalidation
Next.js provides multiple caching layers: Request Memoization, Data Cache, Full Route Cache, and Router Cache.
### Time-Based Revalidation
```tsx
// Revalidate every hour
async function BlogPosts() {
const posts = await fetch('https://api.example.com/posts', {
next: { revalidate: 3600 }
}).then(r => r.json())
return <PostList posts={posts} />
}
```
### On-Demand Revalidation (Tag-Based)
```tsx
// app/products/page.tsx
async function ProductsPage() {
const products = await fetch('https://api.example.com/products', {
next: { tags: ['products'] }
}).then(r => r.json())
return <ProductGrid products={products} />
}
// app/api/revalidate/route.ts
import { revalidateTag } from 'next/cache'
import { NextRequest, NextResponse } from 'next/server'
export async function POST(request: NextRequest) {
const tag = request.nextUrl.searchParams.get('tag')
if (tag) {
revalidateTag(tag) // Purges all fetches tagged with 'products'
return NextResponse.json({ revalidated: true, now: Date.now() })
}
return NextResponse.json({ revalidated: false }, { status: 400 })
}
```
### On-Demand Revalidation (Path-Based)
```tsx
// app/api/revalidate/route.ts
import { revalidatePath } from 'next/cache'
import { NextRequest, NextResponse } from 'next/server'
export async function POST(request: NextRequest) {
const path = request.nextUrl.searchParams.get('path')
if (path) {
revalidatePath(path) // Purges cache for specific route
return NextResponse.json({ revalidated: true })
}
return NextResponse.json({ revalidated: false }, { status: 400 })
}
```
### Caching Decision Tree
1. **Dynamic, real-time data** (stock prices, user sessions): `cache: 'no-store'`
2. **Frequently changing data** (social feeds, news): Short revalidate (60-300s)
3. **Periodically updated data** (blog posts, product catalogs): Medium revalidate (3600s) + on-demand revalidation
4. **Rarely changing data** (legal pages, documentation): Long revalidate (86400s) or static
## Anti-Patterns
### Client-Side Data Fetching in useEffect
```tsx
// BAD - Creates request waterfall
'use client'
import { useState, useEffect } from 'react'
export default function ProductInfo({ id }) {
const [product, setProduct] = useState(null)
useEffect(() => {
// Fetch only starts after JS loads and executes
fetch(`/api/products/${id}`)
.then(r => r.json())
.then(setProduct)
}, [id])
return product ? <Display daRelated in Design
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