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epic-caching

Guide on caching with cachified, SQLite cache, and LRU cache for Epic Stack

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name
epic-caching
description
Guide on caching with cachified, SQLite cache, and LRU cache for Epic Stack
categories
["caching","performance","optimization"]
# Epic Stack: Caching ## When to use this skill Use this skill when you need to: - Cache results of expensive queries - Cache responses from external APIs - Optimize performance of data that doesn't change frequently - Implement stale-while-revalidate - Manage cache invalidation - Integrate cache with server timing ## Patterns and conventions ### Caching Philosophy Following Epic Web principles: **Weigh the cost-benefit of performance optimizations** - Caching adds complexity. Only add cache when there's a clear, measurable benefit. Don't cache "just in case" - cache when you have a real performance problem that caching solves. **When NOT to use cache:** - Data that changes frequently (cache invalidation becomes a problem) - Data that's already fast to fetch (no measurable benefit) - Data that's only fetched once (no benefit from caching) - Simple queries that don't need optimization - When cache invalidation logic becomes more complex than the problem it solves **Example - Evaluating cost-benefit:** ```typescript // ✅ Good - Cache expensive external API call export async function getGitHubEvents({ username, timings, }: { username: string timings?: Timings }) { return await cachified({ key: `github:${username}:events`, cache, timings, getFreshValue: async () => { // Expensive: External API call, rate limits, network latency const response = await fetch( `https://api.github.com/users/${username}/events/public`, ) return await response.json() }, checkValue: GitHubEventSchema.array(), ttl: 1000 * 60 * 60, // 1 hour - reasonable for external data }) } // ❌ Avoid - Caching simple, fast database query export async function getUser({ userId }: { userId: string }) { // This query is already fast - caching adds complexity without benefit return await cachified({ key: `user:${userId}`, cache, getFreshValue: async () => { // Simple query, already fast return await prisma.user.findUnique({ where: { id: userId }, select: { id: true, username: true }, }) }, ttl: 1000 * 60 * 5, }) // Better: Just query directly without cache } ``` ### Two Types of Cache Epic Stack provides two types of cache: 1. **SQLite Cache** - Long-lived, replicated with LiteFS - Persistent across restarts - Replicated across all instances - Ideal for data that changes infrequently 2. **LRU Cache** - Short-lived, in-memory - Cleared on restart - Not replicated (only on current instance) - Ideal for deduplication and temporary cache ### Using cachified Epic Stack uses `@epic-web/cachified` as an abstraction for cache management. **Basic import:** ```typescript import { cachified, cache } from '#app/utils/cache.server.ts' import { type Timings } from '#app/utils/timing.server.ts' ``` **Basic structure:** ```typescript export async function getCachedData({ timings, }: { timings?: Timings } = {}) { return await cachified({ key: 'my-cache-key', cache, timings, getFreshValue: async () => { // Get fresh data return await fetchDataFromAPI() }, checkValue: z.object({ /* schema */ }), // Validation with Zod ttl: 1000 * 60 * 60 * 24, // 24 hours staleWhileRevalidate: 1000 * 60 * 60 * 24 * 30, // 30 days }) } ``` ### Cache Keys **Naming conventions:** - Use format: `entity:identifier:data` - Examples: - `user:${userId}:profile` - `note:${noteId}:full` - `api:github:events` - `tito:scheduled-events` **Avoid:** - Keys that are too long - Keys with special characters - Keys that don't clearly identify the content ### TTL (Time To Live) **Define TTL:** ```typescript await cachified({ key: 'my-key', cache, getFreshValue: () => fetchData(), ttl: 1000 * 60 * 60 * 24, // 24 hours in milliseconds }) ``` **Null TTL to never expire:** ```typescript ttl: null, // Never expires (not recommended unless necessary) ``` ### Stale-While-Revalidate (SWR) SWR allows returning stale data while fresh data is fetched in the background. **Example:** ```typescript await cachified({ key: 'my-key', cache, getFreshValue: () => fetchData(), ttl: 1000 * 60 * 60 * 24, // 24 hours - after this it's considered stale staleWhileRevalidate: 1000 * 60 * 60 * 24 * 30, // 30 days - up to here returns stale while revalidating }) ``` **Behavior:** - **Less than 24h**: Returns cache, no request made - **24h - 30 days**: Returns stale cache immediately, updates in background - **More than 30 days**: Waits for fresh data before returning ### Validation with Zod Always validate cached data with Zod: ```typescript import { z } from 'zod' const EventSchema = z.object({ id: z.string(), title: z.string(), date: z.string(), }) export async function getEvents({ timings }: { timings?: Timings } = {}) { return await cachified({ key: 'events:all', cache, timings, getFreshValue: async () => { const response = await fetch('https://api.example.com/events') return await response.json() }, checkValue: EventSchema.array(), // Validates it's an array of events ttl: 1000 * 60 * 60 * 24, // 24 hours }) } ``` If cached data doesn't pass validation, fresh data is fetched. ### Server Timing Integration Integrate cache with server timing for monitoring: ```typescript import { type Timings } from '#app/utils/timing.server.ts' export async function loader({ request }: Route.LoaderArgs) { const timings: Timings = {} const events = await getEvents({ timings }) // Timings are automatically added to headers return json( { events }, { headers: combineServerTimings(timings), }, ) } ``` ### Cache Invalidation **Invalidate by key:** ```typescript import { cache } from '#app/utils/cache.server.ts' await cache.delete('user:123:profile') ``` **Invalidate multiple keys:** ```typescript // Search and delete matching keys import { searchCacheKeys } from '#app/utils/cache.server.ts' const keys = await searchCacheKeys('user:123', 100) await Promise.all(keys.map((key) => cache.delete(key))) ``` **Invalidate entire SQLite cache:** ```typescript // Use admin dashboard or await cache.clear() // If available ``` ### Using LRU Cache For temporary data, use LRU cache directly: ```typescript import { lru } from '#app/utils/cache.server.ts' // LRU cache is useful for: // - Request deduplication // - Very temporary cache (< 5 minutes) // - Data that doesn't need to persist const cachedValue = lru.get('temp-key') if (!cachedValue) { const freshValue = await computeExpensiveValue() lru.set('temp-key', freshValue, { ttl: 1000 * 60 * 5 }) // 5 minutes return freshValue } return cachedValue ``` ### Multi-Region Cache With LiteFS, SQLite cache is automatically replicated: **Behavior:** - Only the primary instance writes to cache - Replicas can read from cache - Writes are automatically synchronized **Best practices:** - Don't assume all writes are immediate - Use `ensurePrimary()` if you need to guarantee writes ```typescript import { ensurePrimary } from '#app/utils/litefs.server.ts' export async function action({ request }: Route.ActionArgs) { await ensurePrimary() // Ensure we're on primary instance // Invalidate cache await cache.delete('my-key') // ... } ``` ### Error Handling **Handle errors in getFreshValue:** ```typescript await cachified({ key: 'my-key', cache, getFreshValue: async () => { try { return await fetchData() } catch (error) { console.error('Failed to fetch fresh data:', error) throw error // Re-throw so cachified handles it } }, // If getFreshValue fails and there's stale cache, it returns it fallbackToCache: true, // Default: true }) ``` ### Cache Admin Dashboard Epic Stack includes a dashboard to manage cache: **Route:** `/admin/cache` **Features:** - View all cache keys - Search keys - View details of a key - Delete keys - Clear entire cache ## Common examples ### Example 1: Cache external API response ```typescript // app/utils/api.server.ts import { cachified, cache } from '#app/utils/cache.server.ts' import { type Timings } from '#app/utils/timing.server.ts' import { z } from 'zod' const GitHubEventSchema = z.object({ id: z.string(), type: z.string(), actor: z.object({ login: z.string(), }), created_at: z.string(), }) export async function getGitHubEvents({ username, timings, }: { username: string timings?: Timings }) { return await cachified({ key: `github:${username}:events`, cache, timings, getFreshValue: async () => { const response = await fetch( `https://api.github.com/users/${username}/events/public`, ) if (!response.ok) { throw new Error(`GitHub API error: ${response.statusText}`) } const data = await response.json() return data }, checkValue: GitHubEventSchema.array(), ttl: 1000 * 60 * 60, // 1 hour staleWhileRevalidate: 1000 * 60 * 60 * 24, // 24 hours }) } ``` ### Example 2: Cache Prisma query ```typescript // app/utils/user.server.ts import { cachified, cache } from '#app/utils/cache.server.ts' import { prisma } from '#app/utils/db.server.ts' import { z } from 'zod' const UserStatsSchema = z.object({ totalNotes: z.number(), totalLikes: z.number(), joinDate: z.string(), }) export async function getUserStats({ userId, timings, }: { userId: string timings?: Timings }) { return await cachified({ key: `user:${userId}:stats`, cache, timings, getFreshValue: async () => { const [totalNotes, totalLikes, user] = await Promise.all([ prisma.note.count({ where: { ownerId: userId } }), prisma.like.count({ where: { userId } }), prisma.user.findUnique({ where: { id: userId }, select: { createdAt: true }, }), ]) return { totalNotes, totalLikes, joinDate: user?.createdAt.toISOString() ?? '', } }, checkValue: UserStatsSchema, ttl: 1000 * 60 * 5, // 5 minutes staleWhileRevalidate: 1000 * 60 * 60, // 1 hour }) } ``` ### Example 3: Invalidate cache after mutation ```typescript // app/routes/users/$username/notes/new.tsx export async function action({ request }: Route.ActionArgs) { const userId = await requireUserId(request) const formData = await request.formData() // ... validate and create note const note = await prisma.note.create({ data: { title, content, ownerId: userId, }, include: { owner: true }, }) // Invalidate related cache await Promise.all([ cache.delete(`user:${userId}:notes`), cache.delete(`user:${userId}:stats`), cache.delete(`note:${note.id}:full`), ]) return redirect(`/users/${note.owner.username}/notes/${note.id}`) } ``` ### Example 4: Cache with dependencies ```typescript export async function getUserWithNotes({ userId, timings, }: { userId: string timings?: Timings }) { const user = await cachified({ key: `user:${userId}:profile`, cache, timings, getFreshValue: async () => { return await prisma.user.findUnique({ where: { id: userId },
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