React Queryの高度な統合
tRPCでReact Queryのプリフェッチ、無効化、バックグラウンド再取得などの強力な機能を活用します。
「React Queryの高度な統合」はCoddyKit上の無料tRPC End-to-End Type Safe APIsレッスンです。 これはレッスン2/4です。 下記で完全なレッスンを無料で読むことができます。その後、ブラウザ内の組み込みコードエディタと24時間対応のAIチューターでハンズオン演習できます。 これはtRPC End-to-End Type Safe APIs学習パスの一部であり、ウェブとCoddyKitアプリ全体で進捗が同期されます。 tRPC End-to-End Type Safe APIsコースには全4レッスンが含まれています。
このレッスンの一部はまだ翻訳されておらず、英語で表示されています。
Advanced React Query with tRPC
Welcome! In this lesson, we'll dive into advanced features of React Query that supercharge your tRPC applications.
You'll learn how to optimize user experience and ensure data freshness using powerful techniques like prefetching, query invalidation, and background refetching.
Improving UX with Prefetching
Prefetching is about fetching data before a user explicitly requests it. Imagine a blog list: when a user hovers over a post, you can prefetch the detailed post content.
- Faster Navigation: Reduces loading times when users click a link.
- Smoother Experience: Eliminates loading spinners on subsequent pages.
- Anticipatory UI: Makes your app feel snappier and more responsive.
Prefetching tRPC Queries
React Query's queryClient.prefetchQuery allows you to fetch data and store it in the cache. With tRPC, you access the queryClient via trpc.useUtils().
This example simulates prefetching a list of posts when a component is rendered, perhaps on a homepage before a user clicks "View All Posts."
// A simplified demo for prefetching a tRPC query
// --- Mocks for demonstration purposes ---
const mockQueryClient = {
prefetchQuery: async (queryKey, queryFn) => {
console.log(`Prefetching: ${JSON.stringify(queryKey)}`);
// Simulate API call
const data = await queryFn();
console.log(`Data for ${JSON.stringify(queryKey)} prefetched:`, data);
return data;
}
};
const trpc = {
post: {
list: {
queryFn: async () => {
// In a real app, this would be your tRPC query
return new Promise(resolve => setTimeout(() => {
resolve([{ id: 1, title: 'First Post' }, { id: 2, title: 'Second Post' }]);
}, 100));
}
}
},
useUtils: () => ({
queryClient: mockQueryClient
})
};
// --- End Mocks ---
async function main() {
console.log("Starting prefetch demo...");
// In a React component, you'd call trpc.useUtils()
const utils = trpc.useUtils();
// Prefetch the 'post.list' query
await utils.queryClient.prefetchQuery(
['post', 'list'], // tRPC query key
trpc.post.list.queryFn // The actual fetch function
);
console.log("Prefetching complete. Data is now in cache.");
}
main();Keeping Data Fresh with Invalidation
After you perform an action that changes data on your backend (like creating, updating, or deleting), your client-side cache might become outdated.
Query invalidation tells React Query that certain cached data is "stale" and needs to be refetched the next time it's accessed. This ensures your UI always shows the latest information.
Invalidating After tRPC Mutations
The most common use case for invalidation is after a mutation. When you create a new item, you want the list showing all items to update automatically.
You can use onSuccess callback of useMutation to invalidate related queries.
// A simplified demo for invalidating a tRPC query after a mutation
// --- Mocks for demonstration purposes ---
const mockQueryClient = {
invalidateQueries: (queryKey) => {
console.log(`Invalidating queries matching: ${JSON.stringify(queryKey)}`);
// In a real app, this marks cached data as stale
}
};
const trpc = {
post: {
create: {
mutateFn: async (newPost) => {
console.log(`Creating post: ${newPost.title}...`);
return new Promise(resolve => setTimeout(() => {
console.log("Post created on server.");
resolve({ id: 3, ...newPost });
}, 150));
}
}
},
useUtils: () => ({
queryClient: mockQueryClient
})
};
// Simulate a useMutation hook's logic
async function useCreatePostMutation() {
const utils = trpc.useUtils();
return {
mutateAsync: async (newPost) => {
const result = await trpc.post.create.mutateFn(newPost);
// Invalidate the 'post.list' query to refetch it
utils.queryClient.invalidateQueries(['post', 'list']);
return result;
}
};
}
// --- End Mocks ---
async function main() {
console.log("Starting invalidation demo...");
const { mutateAsync } = await useCreatePostMutation();
await mutateAsync({ title: 'My New Awesome Post' });
console.log("Mutation complete and 'post.list' query invalidated.");
console.log("Next time 'post.list' is fetched, it will be fresh.");
}
main();Targeting Specific Queries
Sometimes you don't want to invalidate all queries of a certain type. You might want to invalidate a specific item, like a single post after it's been updated.
React Query uses query keys to identify cached data. You can invalidate queries based on exact keys or partial matches.
// Demo for granular invalidation
// --- Mocks ---
const mockQueryClient = {
invalidateQueries: (queryKey) => {
console.log(`Invalidating specific queries: ${JSON.stringify(queryKey)}`);
}
};
const trpc = {
post: {
update: {
mutateFn: async (postId, updates) => {
console.log(`Updating post ${postId} with:`, updates);
return new Promise(resolve => setTimeout(() => {
console.log(`Post ${postId} updated.`);
resolve({ id: postId, ...updates });
}, 100));
}
}
},
useUtils: () => ({
queryClient: mockQueryClient
})
};
async function useUpdatePostMutation() {
const utils = trpc.useUtils();
return {
mutateAsync: async (postId, updates) => {
const result = await trpc.post.update.mutateFn(postId, updates);
// Invalidate the specific post query by ID
utils.queryClient.invalidateQueries(['post', 'byId', { id: postId }]);
// You might also invalidate the list if the update affects it
utils.queryClient.invalidateQueries(['post', 'list']);
return result;
}
};
}
// --- End Mocks ---
async function main() {
console.log("Starting granular invalidation demo...");
const { mutateAsync } = await useUpdatePostMutation();
const postIdToUpdate = 123;
await mutateAsync(postIdToUpdate, { title: 'Updated Title' });
console.log(`Queries for post ${postIdToUpdate} and post list invalidated.`);
}
main();Automatic Background Refetching
React Query doesn't just refetch data when you manually invalidate it. It also has smart defaults for background refetching.
When a query becomes "stale" (its staleTime expires), React Query will automatically refetch it in the background under certain conditions, like:
- When a component mounts.
- When the window refocused.
- When the network reconnects.
Customizing Refetch Behavior
You can control when data is considered stale using the staleTime option. By default, staleTime is 0, meaning data is immediately stale.
Setting a staleTime (e.g., 5 * 60 * 1000 for 5 minutes) means data won't be refetched for that duration, even if components remount or the window is refocused, improving performance.
// Demo for configuring staleTime globally
// --- Mocks ---
class QueryClient {
constructor(options = {}) {
this.defaultOptions = options.defaultOptions || {};
console.log("QueryClient initialized with defaultOptions:", this.defaultOptions);
}
// Simplified method to show it would apply options
fetchQuery(queryKey, queryFn, options = {}) {
const effectiveStaleTime = options.staleTime !== undefined
? options.staleTime
: (this.defaultOptions.queries && this.defaultOptions.queries.staleTime !== undefined
? this.defaultOptions.queries.staleTime
: 0); // Default React Query staleTime
console.log(`Fetching ${JSON.stringify(queryKey)} with staleTime: ${effectiveStaleTime}`);
return queryFn(); // Simulate fetch
}
}
// Simulating React Query's QueryClientProvider setup
function QueryClientProvider({ children, client }) {
console.log("QueryClientProvider is setting up the client.");
// In a real React app, 'client' would be available via context
if (typeof children === 'function') {
children(client); // Just call the child function for this demo
}
}
// --- End Mocks ---
async function main() {
console.log("Starting staleTime configuration demo...");
const queryClient = new QueryClient({
defaultOptions: {
queries: {
staleTime: 1000 * 60 * 5, // 5 minutes
refetchOnWindowFocus: false, // Disable refetch on window focus globally
},
},
});
QueryClientProvider({
client: queryClient,
children: async (client) => {
// Simulate a tRPC query being made, which would inherit these options
await client.fetchQuery(['myPost', 1], async () => {
console.log("Simulating a fetch for 'myPost'.");
return { id: 1, title: "Configured Post" };
});
}
});
console.log("QueryClient configured. Queries will respect 5 min staleTime.");
}
main();A Full Workflow Example
Let's imagine a user flow combining these features:
- User lands on a dashboard. We prefetch data for upcoming sections.
- User clicks "Edit Profile." The profile data is already in cache (due to prefetching or a recent fetch).
- User updates their name. A mutation is triggered.
- Upon success, the profile query is invalidated.
- The UI automatically refetches in the background (due to invalidation and perhaps
staleTime: 0on the profile query), showing the new name without a full page reload or manual refresh.
React Query Features Quiz
Consider a tRPC application where you have a list of products and a form to add a new product.
Which combination of React Query features would you use to immediately update the product list after a new product is successfully added?
Summary of Advanced Features
Great job! You've learned how to leverage advanced React Query features to build highly performant and user-friendly tRPC applications.
- Prefetching improves perceived performance by loading data early.
- Query Invalidation ensures data freshness after mutations.
- Background Refetching automatically updates stale data.
These techniques are crucial for professional-grade frontend development. Keep experimenting with them!
よくある質問
「React Queryの高度な統合」レッスンは無料ですか?
はい。「React Queryの高度な統合」の完全なテキストはこのウェブで無料で読めます。インタラクティブに演習し(組み込みコードエディタと24時間対応のAIチューター)、tRPC End-to-End Type Safe APIsコースの残りをアンロックするには、CoddyKit PROにアップグレードしてください。 tRPC End-to-End Type Safe APIsコースには全4レッスンが含まれています。
「React Queryの高度な統合」で何を学びますか?
tRPCでReact Queryのプリフェッチ、無効化、バックグラウンド再取得などの強力な機能を活用します。 ブラウザで直接実行するハンズオンコードでtRPC End-to-End Type Safe APIsを演習し、24時間対応のAIチューターがレッスンを進める中での質問に答えます。
tRPC End-to-End Type Safe APIsを始めるのに経験は必要ですか?
事前経験は必要ありません。CoddyKitのtRPC End-to-End Type Safe APIsは初級者から上級者向けに構成されているため、ここから始めるか最初から始めて、自分のペースで進むことができます。 これはレッスン2/4です。
「React Queryの高度な統合」レッスンにはどのくらい時間がかかりますか?
ほとんどのCoddyKitレッスンは約5~10分かかります。各レッスンはコンパクトでインタラクティブなので、着実に進歩し、ウェブとアプリ全体で正確に前回の場所から再開できます。
このtRPC End-to-End Type Safe APIsレッスンでコードを書いて実行できますか?
はい。すべてのtRPC End-to-End Type Safe APIsレッスンに組み込みコードエディタが含まれているため、ブラウザでリアルコードを書いて実行し、即座のAIフィードバックを取得できます。ローカル設定は不要です。
このコースのすべてのレッスン
- Next.js App RouterでtRPCを使う
- React Queryの高度な統合
- サーバーコンポーネントとtRPCによるデータ取得
- tRPCミューテーションの楽観的更新