在 React Server Components 中的配置方案
本页面由 PageTurner AI 翻译(测试版)。未经项目官方认可。 发现错误? 报告问题 →
本指南概述了如何在 React Server Components (RSC) 框架(如 Next.js App Router)中使用 tRPC。需要注意的是,RSC 本身已解决了 tRPC 设计初衷要解决的许多问题,因此您可能完全不需要 tRPC。
此外,tRPC 与 RSC 的集成并非一刀切方案,请将此指南视为起点,并根据您的需求和偏好进行调整。
如需了解如何在 Server Actions 中使用 tRPC,请参阅 Julius 的这篇博客文章。
请先阅读 React Query 的 高级服务端渲染 文档,了解不同类型的服务端渲染及需要规避的隐患。
在现有项目中添加 tRPC
1. 安装依赖
- npm
- yarn
- pnpm
- bun
- deno
npm install @trpc/server @trpc/client @trpc/tanstack-react-query @tanstack/react-query@latest zod client-only server-only
yarn add @trpc/server @trpc/client @trpc/tanstack-react-query @tanstack/react-query@latest zod client-only server-only
pnpm add @trpc/server @trpc/client @trpc/tanstack-react-query @tanstack/react-query@latest zod client-only server-only
bun add @trpc/server @trpc/client @trpc/tanstack-react-query @tanstack/react-query@latest zod client-only server-only
deno add npm:@trpc/server npm:@trpc/client npm:@trpc/tanstack-react-query npm:@tanstack/react-query@latest npm:zod npm:client-only npm:server-only
2. 创建 tRPC 路由
在 trpc/init.ts 中使用 initTRPC 函数初始化 tRPC 后端,并创建您的第一个路由。我们将在此创建简单的 "hello world" 路由和过程 - 如需深入了解如何创建 tRPC API,请参考 tRPC 的 快速入门指南 和 后端使用文档。
此处使用的文件名并非 tRPC 强制要求,您可采用任意文件结构。
View sample backend
trpc/init.tstsimport { initTRPC } from '@trpc/server';import { cache } from 'react';export const createTRPCContext = cache(async () => {/*** @see: https://trpc.io/docs/server/context*/return { userId: 'user_123' };});// Avoid exporting the entire t-object// since it's not very descriptive.// For instance, the use of a t variable// is common in i18n libraries.const t = initTRPC.create({/*** @see https://trpc.io/docs/server/data-transformers*/// transformer: superjson,});// Base router and procedure helpersexport const createTRPCRouter = t.router;export const createCallerFactory = t.createCallerFactory;export const baseProcedure = t.procedure;
trpc/init.tstsimport { initTRPC } from '@trpc/server';import { cache } from 'react';export const createTRPCContext = cache(async () => {/*** @see: https://trpc.io/docs/server/context*/return { userId: 'user_123' };});// Avoid exporting the entire t-object// since it's not very descriptive.// For instance, the use of a t variable// is common in i18n libraries.const t = initTRPC.create({/*** @see https://trpc.io/docs/server/data-transformers*/// transformer: superjson,});// Base router and procedure helpersexport const createTRPCRouter = t.router;export const createCallerFactory = t.createCallerFactory;export const baseProcedure = t.procedure;
trpc/routers/_app.tstsimport { z } from 'zod';import { baseProcedure, createTRPCRouter } from '../init';export const appRouter = createTRPCRouter({hello: baseProcedure.input(z.object({text: z.string(),}),).query((opts) => {return {greeting: `hello ${opts.input.text}`,};}),});// export type definition of APIexport type AppRouter = typeof appRouter;
trpc/routers/_app.tstsimport { z } from 'zod';import { baseProcedure, createTRPCRouter } from '../init';export const appRouter = createTRPCRouter({hello: baseProcedure.input(z.object({text: z.string(),}),).query((opts) => {return {greeting: `hello ${opts.input.text}`,};}),});// export type definition of APIexport type AppRouter = typeof appRouter;
The backend adapter depends on your framework and how it sets up API routes. The following example sets up GET and POST routes at /api/trpc/* using the fetch adapter in Next.js.
app/api/trpc/[trpc]/route.tstsimport { fetchRequestHandler } from '@trpc/server/adapters/fetch';import { createTRPCContext } from '~/trpc/init';import { appRouter } from '~/trpc/routers/_app';const handler = (req: Request) =>fetchRequestHandler({endpoint: '/api/trpc',req,router: appRouter,createContext: createTRPCContext,});export { handler as GET, handler as POST };
app/api/trpc/[trpc]/route.tstsimport { fetchRequestHandler } from '@trpc/server/adapters/fetch';import { createTRPCContext } from '~/trpc/init';import { appRouter } from '~/trpc/routers/_app';const handler = (req: Request) =>fetchRequestHandler({endpoint: '/api/trpc',req,router: appRouter,createContext: createTRPCContext,});export { handler as GET, handler as POST };
3. 创建 Query Client 工厂函数
创建共享文件 trpc/query-client.ts,导出用于创建 QueryClient 实例的函数。
trpc/query-client.tstsimport {defaultShouldDehydrateQuery,QueryClient,} from '@tanstack/react-query';import superjson from 'superjson';export function makeQueryClient() {return new QueryClient({defaultOptions: {queries: {staleTime: 30 * 1000,},dehydrate: {// serializeData: superjson.serialize,shouldDehydrateQuery: (query) =>defaultShouldDehydrateQuery(query) ||query.state.status === 'pending',},hydrate: {// deserializeData: superjson.deserialize,},},});}
trpc/query-client.tstsimport {defaultShouldDehydrateQuery,QueryClient,} from '@tanstack/react-query';import superjson from 'superjson';export function makeQueryClient() {return new QueryClient({defaultOptions: {queries: {staleTime: 30 * 1000,},dehydrate: {// serializeData: superjson.serialize,shouldDehydrateQuery: (query) =>defaultShouldDehydrateQuery(query) ||query.state.status === 'pending',},hydrate: {// deserializeData: superjson.deserialize,},},});}
我们在此设置若干默认选项:
-
staleTime:在 SSR 场景下,通常需设置大于 0 的默认 staleTime 以避免客户端立即重新获取数据 -
shouldDehydrateQuery:此函数决定查询是否应被脱水。由于 RSC 传输协议支持通过网络水合 promise,我们扩展了defaultShouldDehydrateQuery函数以包含仍在挂起的查询。这将允许我们在树形结构顶层的服务端组件启动预获取,并在下层的客户端组件消费该 promise -
serializeData和deserializeData(可选):若您在前一步设置了 数据转换器,请配置此选项以确保在跨越服务端-客户端边界水合 query client 时正确序列化数据
4. 为客户端组件创建 tRPC 客户端
trpc/client.tsx 是从客户端组件消费 tRPC API 的入口文件。在此导入 tRPC 路由的类型定义,并使用 createTRPCContext 创建类型安全的钩子。我们还将从此文件导出上下文提供者。
trpc/client.tsxtsx'use client';// ^-- to make sure we can mount the Provider from a server componentimport type { QueryClient } from '@tanstack/react-query';import { QueryClientProvider } from '@tanstack/react-query';import { createTRPCClient, httpBatchLink } from '@trpc/client';import { createTRPCContext } from '@trpc/tanstack-react-query';import { useState } from 'react';import { makeQueryClient } from './query-client';import type { AppRouter } from './routers/_app';export const { TRPCProvider, useTRPC } = createTRPCContext<AppRouter>();let browserQueryClient: QueryClient;function getQueryClient() {if (typeof window === 'undefined') {// Server: always make a new query clientreturn makeQueryClient();}// Browser: make a new query client if we don't already have one// This is very important, so we don't re-make a new client if React// suspends during the initial render. This may not be needed if we// have a suspense boundary BELOW the creation of the query clientif (!browserQueryClient) browserQueryClient = makeQueryClient();return browserQueryClient;}function getUrl() {const base = (() => {if (typeof window !== 'undefined') return '';if (process.env.VERCEL_URL) return `https://${process.env.VERCEL_URL}`;return 'http://localhost:3000';})();return `${base}/api/trpc`;}export function TRPCReactProvider(props: Readonly<{children: React.ReactNode;}>,) {// NOTE: Avoid useState when initializing the query client if you don't// have a suspense boundary between this and the code that may// suspend because React will throw away the client on the initial// render if it suspends and there is no boundaryconst queryClient = getQueryClient();const [trpcClient] = useState(() =>createTRPCClient<AppRouter>({links: [httpBatchLink({// transformer: superjson, <-- if you use a data transformerurl: getUrl(),}),],}),);return (<QueryClientProvider client={queryClient}><TRPCProvider trpcClient={trpcClient} queryClient={queryClient}>{props.children}</TRPCProvider></QueryClientProvider>);}
trpc/client.tsxtsx'use client';// ^-- to make sure we can mount the Provider from a server componentimport type { QueryClient } from '@tanstack/react-query';import { QueryClientProvider } from '@tanstack/react-query';import { createTRPCClient, httpBatchLink } from '@trpc/client';import { createTRPCContext } from '@trpc/tanstack-react-query';import { useState } from 'react';import { makeQueryClient } from './query-client';import type { AppRouter } from './routers/_app';export const { TRPCProvider, useTRPC } = createTRPCContext<AppRouter>();let browserQueryClient: QueryClient;function getQueryClient() {if (typeof window === 'undefined') {// Server: always make a new query clientreturn makeQueryClient();}// Browser: make a new query client if we don't already have one// This is very important, so we don't re-make a new client if React// suspends during the initial render. This may not be needed if we// have a suspense boundary BELOW the creation of the query clientif (!browserQueryClient) browserQueryClient = makeQueryClient();return browserQueryClient;}function getUrl() {const base = (() => {if (typeof window !== 'undefined') return '';if (process.env.VERCEL_URL) return `https://${process.env.VERCEL_URL}`;return 'http://localhost:3000';})();return `${base}/api/trpc`;}export function TRPCReactProvider(props: Readonly<{children: React.ReactNode;}>,) {// NOTE: Avoid useState when initializing the query client if you don't// have a suspense boundary between this and the code that may// suspend because React will throw away the client on the initial// render if it suspends and there is no boundaryconst queryClient = getQueryClient();const [trpcClient] = useState(() =>createTRPCClient<AppRouter>({links: [httpBatchLink({// transformer: superjson, <-- if you use a data transformerurl: getUrl(),}),],}),);return (<QueryClientProvider client={queryClient}><TRPCProvider trpcClient={trpcClient} queryClient={queryClient}>{props.children}</TRPCProvider></QueryClientProvider>);}
将此提供者挂载到应用的根节点(例如使用 Next.js 时挂载到 app/layout.tsx)。
5. 为服务端组件创建 tRPC 调用器
要从服务端组件预获取查询,我们通过路由创建代理。若路由位于独立服务器,也可传递客户端实例。
trpc/server.tsxtsximport 'server-only'; // <-- ensure this file cannot be imported from the clientimport { createTRPCOptionsProxy } from '@trpc/tanstack-react-query';import { cache } from 'react';import { createTRPCContext } from './init';import { makeQueryClient } from './query-client';import { appRouter } from './routers/_app';// IMPORTANT: Create a stable getter for the query client that// will return the same client during the same request.export const getQueryClient = cache(makeQueryClient);export const trpc = createTRPCOptionsProxy({ctx: createTRPCContext,router: appRouter,queryClient: getQueryClient,});// If your router is on a separate server, pass a client:createTRPCOptionsProxy({client: createTRPCClient({links: [httpLink({ url: '...' })],}),queryClient: getQueryClient,});
trpc/server.tsxtsximport 'server-only'; // <-- ensure this file cannot be imported from the clientimport { createTRPCOptionsProxy } from '@trpc/tanstack-react-query';import { cache } from 'react';import { createTRPCContext } from './init';import { makeQueryClient } from './query-client';import { appRouter } from './routers/_app';// IMPORTANT: Create a stable getter for the query client that// will return the same client during the same request.export const getQueryClient = cache(makeQueryClient);export const trpc = createTRPCOptionsProxy({ctx: createTRPCContext,router: appRouter,queryClient: getQueryClient,});// If your router is on a separate server, pass a client:createTRPCOptionsProxy({client: createTRPCClient({links: [httpLink({ url: '...' })],}),queryClient: getQueryClient,});
API 使用实践
现在你可以在应用中使用 tRPC API。虽然你可以在客户端组件中像其他 React 应用那样使用 React Query 钩子,
但我们还能利用 RSC 的特性:在高层级服务端组件中预取查询。你可能熟悉这种被称为"随取随渲"(render as you fetch)的模式,
它通常通过加载器实现。这意味着请求会尽早触发,但不会阻塞渲染,直到实际需要使用数据时才通过 useQuery 或 useSuspenseQuery 钩子挂起。
此方法利用了 Next.js App Router 的流式传输能力,在服务端发起查询并将数据流式传输到客户端。它同时优化了浏览器的首字节时间(TTFB)
和数据获取时间,从而提升页面加载速度。但需要注意:在数据流完全传输前,greeting.data 初始值可能是 undefined。
若要避免这种初始未定义状态,可以在 prefetchQuery 调用前添加 await。
这能确保客户端首次渲染时总有可用数据,但存在权衡取舍——由于服务端必须完成查询才能发送 HTML 到客户端,页面加载时间会相应延长。
app/page.tsxtsximport { dehydrate, HydrationBoundary } from '@tanstack/react-query';import { getQueryClient, trpc } from '~/trpc/server';import { ClientGreeting } from './client-greeting';export default async function Home() {const queryClient = getQueryClient();void queryClient.prefetchQuery(trpc.hello.queryOptions({/** input */}),);return (<HydrationBoundary state={dehydrate(queryClient)}><div>...</div>{/** ... */}<ClientGreeting /></HydrationBoundary>);}
app/page.tsxtsximport { dehydrate, HydrationBoundary } from '@tanstack/react-query';import { getQueryClient, trpc } from '~/trpc/server';import { ClientGreeting } from './client-greeting';export default async function Home() {const queryClient = getQueryClient();void queryClient.prefetchQuery(trpc.hello.queryOptions({/** input */}),);return (<HydrationBoundary state={dehydrate(queryClient)}><div>...</div>{/** ... */}<ClientGreeting /></HydrationBoundary>);}
app/client-greeting.tsxtsx'use client';// <-- hooks can only be used in client componentsimport { useQuery } from '@tanstack/react-query';import { useTRPC } from '~/trpc/client';export function ClientGreeting() {const trpc = useTRPC();const greeting = useQuery(trpc.hello.queryOptions({ text: 'world' }));if (!greeting.data) return <div>Loading...</div>;return <div>{greeting.data.greeting}</div>;}
app/client-greeting.tsxtsx'use client';// <-- hooks can only be used in client componentsimport { useQuery } from '@tanstack/react-query';import { useTRPC } from '~/trpc/client';export function ClientGreeting() {const trpc = useTRPC();const greeting = useQuery(trpc.hello.queryOptions({ text: 'world' }));if (!greeting.data) return <div>Loading...</div>;return <div>{greeting.data.greeting}</div>;}
你可以创建 prefetch 和 HydrateClient 辅助函数来简化代码并提高复用性:
trpc/server.tsxtsxexport function HydrateClient(props: { children: React.ReactNode }) {const queryClient = getQueryClient();return (<HydrationBoundary state={dehydrate(queryClient)}>{props.children}</HydrationBoundary>);}export function prefetch<T extends ReturnType<TRPCQueryOptions<any>>>(queryOptions: T,) {const queryClient = getQueryClient();if (queryOptions.queryKey[1]?.type === 'infinite') {void queryClient.prefetchInfiniteQuery(queryOptions as any);} else {void queryClient.prefetchQuery(queryOptions);}}
trpc/server.tsxtsxexport function HydrateClient(props: { children: React.ReactNode }) {const queryClient = getQueryClient();return (<HydrationBoundary state={dehydrate(queryClient)}>{props.children}</HydrationBoundary>);}export function prefetch<T extends ReturnType<TRPCQueryOptions<any>>>(queryOptions: T,) {const queryClient = getQueryClient();if (queryOptions.queryKey[1]?.type === 'infinite') {void queryClient.prefetchInfiniteQuery(queryOptions as any);} else {void queryClient.prefetchQuery(queryOptions);}}
使用示例如下:
tsximport { HydrateClient, prefetch, trpc } from '~/trpc/server';function Home() {prefetch(trpc.hello.queryOptions({/** input */}),);return (<HydrateClient><div>...</div>{/** ... */}<ClientGreeting /></HydrateClient>);}
tsximport { HydrateClient, prefetch, trpc } from '~/trpc/server';function Home() {prefetch(trpc.hello.queryOptions({/** input */}),);return (<HydrateClient><div>...</div>{/** ... */}<ClientGreeting /></HydrateClient>);}
利用 Suspense
你可以使用 useSuspenseQuery 钩子,通过 Suspense 和 Error Boundaries 来处理加载与错误状态。
app/page.tsxtsximport { HydrateClient, prefetch, trpc } from '~/trpc/server';import { Suspense } from 'react';import { ErrorBoundary } from 'react-error-boundary';import { ClientGreeting } from './client-greeting';export default async function Home() {prefetch(trpc.hello.queryOptions());return (<HydrateClient><div>...</div>{/** ... */}<ErrorBoundary fallback={<div>Something went wrong</div>}><Suspense fallback={<div>Loading...</div>}><ClientGreeting /></Suspense></ErrorBoundary></HydrateClient>);}
app/page.tsxtsximport { HydrateClient, prefetch, trpc } from '~/trpc/server';import { Suspense } from 'react';import { ErrorBoundary } from 'react-error-boundary';import { ClientGreeting } from './client-greeting';export default async function Home() {prefetch(trpc.hello.queryOptions());return (<HydrateClient><div>...</div>{/** ... */}<ErrorBoundary fallback={<div>Something went wrong</div>}><Suspense fallback={<div>Loading...</div>}><ClientGreeting /></Suspense></ErrorBoundary></HydrateClient>);}
app/client-greeting.tsxtsx'use client';import { useSuspenseQuery } from '@tanstack/react-query';import { trpc } from '~/trpc/client';export function ClientGreeting() {const trpc = useTRPC();const { data } = useSuspenseQuery(trpc.hello.queryOptions());return <div>{data.greeting}</div>;}
app/client-greeting.tsxtsx'use client';import { useSuspenseQuery } from '@tanstack/react-query';import { trpc } from '~/trpc/client';export function ClientGreeting() {const trpc = useTRPC();const { data } = useSuspenseQuery(trpc.hello.queryOptions());return <div>{data.greeting}</div>;}
在服务端组件获取数据
若需在服务端组件直接访问数据,建议创建服务端调用器(server caller)。请注意:此方法与查询客户端分离, 不会将数据存入缓存。这意味着无法在服务端使用数据后预期客户端能直接获取该数据。这种设计是刻意为之, 详细原理请参阅高级服务端渲染指南。
trpc/server.tsxtsx// ...export const caller = appRouter.createCaller(createTRPCContext);
trpc/server.tsxtsx// ...export const caller = appRouter.createCaller(createTRPCContext);
app/page.tsxtsximport { caller } from '~/trpc/server';export default async function Home() {const greeting = await caller.hello();// ^? { greeting: string }return <div>{greeting.greeting}</div>;}
app/page.tsxtsximport { caller } from '~/trpc/server';export default async function Home() {const greeting = await caller.hello();// ^? { greeting: string }return <div>{greeting.greeting}</div>;}
若你确实需要同时在服务端和客户端组件使用数据,并理解高级服务端渲染指南
中说明的权衡取舍,可以用 fetchQuery 替代 prefetch。这样既能服务端使用数据,又能将其水合(hydrate)至客户端:
app/page.tsxtsximport { getQueryClient, HydrateClient, trpc } from '~/trpc/server';export default async function Home() {const queryClient = getQueryClient();const greeting = await queryClient.fetchQuery(trpc.hello.queryOptions());// Do something with greeting on the serverreturn (<HydrateClient><div>...</div>{/** ... */}<ClientGreeting /></HydrateClient>);}
app/page.tsxtsximport { getQueryClient, HydrateClient, trpc } from '~/trpc/server';export default async function Home() {const queryClient = getQueryClient();const greeting = await queryClient.fetchQuery(trpc.hello.queryOptions());// Do something with greeting on the serverreturn (<HydrateClient><div>...</div>{/** ... */}<ClientGreeting /></HydrateClient>);}