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版本:11.x

响应缓存

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以下示例使用 Vercel 的边缘缓存 以最快速度向用户提供数据。

信息

使用缓存时务必谨慎——尤其是在处理个人信息时。

 
由于默认启用了批处理,建议在 responseMeta 函数中设置缓存头部,并确保没有可能包含个人数据的并发调用——或者当存在认证头或 cookie 时完全省略缓存头部。

 
你也可以使用 splitLink 来区分公共请求和需要保持私有且不缓存的请求。

应用缓存

若在应用中启用 SSR,可能会发现应用在 Vercel 等平台加载缓慢,实际上无需 SSG 也能静态渲染整个应用;参阅此 Twitter 讨论串获取更多洞见。

示例代码

utils/trpc.tsx
tsx
import { httpBatchLink } from '@trpc/client';
import { createTRPCNext } from '@trpc/next';
import type { AppRouter } from '../server/routers/_app';
export const trpc = createTRPCNext<AppRouter>({
config(config) {
if (typeof window !== 'undefined') {
return {
links: [
httpBatchLink({
url: '/api/trpc',
}),
],
};
}
const url = process.env.VERCEL_URL
? `https://${process.env.VERCEL_URL}/api/trpc`
: 'http://localhost:3000/api/trpc';
return {
links: {
http: httpBatchLink({
url,
}),
},
};
},
ssr: true,
responseMeta(opts) {
const { clientErrors } = opts;
if (clientErrors.length) {
// propagate http first error from API calls
return {
status: clientErrors[0].data?.httpStatus ?? 500,
};
}
// cache request for 1 day + revalidate once every second
const ONE_DAY_IN_SECONDS = 60 * 60 * 24;
return {
headers: new Headers([
[
'cache-control',
`s-maxage=1, stale-while-revalidate=${ONE_DAY_IN_SECONDS}`,
],
]),
};
},
});
utils/trpc.tsx
tsx
import { httpBatchLink } from '@trpc/client';
import { createTRPCNext } from '@trpc/next';
import type { AppRouter } from '../server/routers/_app';
export const trpc = createTRPCNext<AppRouter>({
config(config) {
if (typeof window !== 'undefined') {
return {
links: [
httpBatchLink({
url: '/api/trpc',
}),
],
};
}
const url = process.env.VERCEL_URL
? `https://${process.env.VERCEL_URL}/api/trpc`
: 'http://localhost:3000/api/trpc';
return {
links: {
http: httpBatchLink({
url,
}),
},
};
},
ssr: true,
responseMeta(opts) {
const { clientErrors } = opts;
if (clientErrors.length) {
// propagate http first error from API calls
return {
status: clientErrors[0].data?.httpStatus ?? 500,
};
}
// cache request for 1 day + revalidate once every second
const ONE_DAY_IN_SECONDS = 60 * 60 * 24;
return {
headers: new Headers([
[
'cache-control',
`s-maxage=1, stale-while-revalidate=${ONE_DAY_IN_SECONDS}`,
],
]),
};
},
});

API 响应缓存

由于所有查询都是标准的 HTTP GET 请求,我们可以使用常规 HTTP 头部缓存响应,从而加速响应、减轻数据库压力,并轻松将 API 扩展到海量用户。

使用 responseMeta 缓存响应

假设你将 API 部署在支持处理 stale-while-revalidate 缓存头的地方(例如 Vercel)。

server.ts
tsx
import { initTRPC } from '@trpc/server';
import * as trpcNext from '@trpc/server/adapters/next';
export const createContext = async ({
req,
res,
}: trpcNext.CreateNextContextOptions) => {
return {
req,
res,
prisma,
};
};
type Context = Awaited<ReturnType<typeof createContext>>;
export const t = initTRPC.context<Context>().create();
const waitFor = async (ms: number) =>
new Promise((resolve) => setTimeout(resolve, ms));
export const appRouter = t.router({
public: t.router({
slowQueryCached: t.procedure.query(async (opts) => {
await waitFor(5000); // wait for 5s
return {
lastUpdated: new Date().toJSON(),
};
}),
}),
});
// Exporting type _type_ AppRouter only exposes types that can be used for inference
// https://www.typescriptlang.org/docs/handbook/release-notes/typescript-3-8.html#type-only-imports-and-export
export type AppRouter = typeof appRouter;
// export API handler
export default trpcNext.createNextApiHandler({
router: appRouter,
createContext,
responseMeta(opts) {
const { ctx, paths, errors, type } = opts;
// assuming you have all your public routes with the keyword `public` in them
const allPublic = paths && paths.every((path) => path.includes('public'));
// checking that no procedures errored
const allOk = errors.length === 0;
// checking we're doing a query request
const isQuery = type === 'query';
if (ctx?.res && allPublic && allOk && isQuery) {
// cache request for 1 day + revalidate once every second
const ONE_DAY_IN_SECONDS = 60 * 60 * 24;
return {
headers: new Headers([
[
'cache-control',
`s-maxage=1, stale-while-revalidate=${ONE_DAY_IN_SECONDS}`,
],
]),
};
}
return {};
},
});
server.ts
tsx
import { initTRPC } from '@trpc/server';
import * as trpcNext from '@trpc/server/adapters/next';
export const createContext = async ({
req,
res,
}: trpcNext.CreateNextContextOptions) => {
return {
req,
res,
prisma,
};
};
type Context = Awaited<ReturnType<typeof createContext>>;
export const t = initTRPC.context<Context>().create();
const waitFor = async (ms: number) =>
new Promise((resolve) => setTimeout(resolve, ms));
export const appRouter = t.router({
public: t.router({
slowQueryCached: t.procedure.query(async (opts) => {
await waitFor(5000); // wait for 5s
return {
lastUpdated: new Date().toJSON(),
};
}),
}),
});
// Exporting type _type_ AppRouter only exposes types that can be used for inference
// https://www.typescriptlang.org/docs/handbook/release-notes/typescript-3-8.html#type-only-imports-and-export
export type AppRouter = typeof appRouter;
// export API handler
export default trpcNext.createNextApiHandler({
router: appRouter,
createContext,
responseMeta(opts) {
const { ctx, paths, errors, type } = opts;
// assuming you have all your public routes with the keyword `public` in them
const allPublic = paths && paths.every((path) => path.includes('public'));
// checking that no procedures errored
const allOk = errors.length === 0;
// checking we're doing a query request
const isQuery = type === 'query';
if (ctx?.res && allPublic && allOk && isQuery) {
// cache request for 1 day + revalidate once every second
const ONE_DAY_IN_SECONDS = 60 * 60 * 24;
return {
headers: new Headers([
[
'cache-control',
`s-maxage=1, stale-while-revalidate=${ONE_DAY_IN_SECONDS}`,
],
]),
};
}
return {};
},
});