Async Local Storage is Here to Help You
When you hear the phrase "Async Local Storage," what comes to mind? You might initially think it refers to some magical implementation of browser-based local storage. However, this assumption is incorrect. Async Local Storage is neither browser-related nor a typical storage mechanism. Probably one or two libraries you have used use it under the hood. In many cases, this feature can save you from dealing with messy code.
What is Async Local Storage?
Async Local Storage is a feature introduced in Node.js, initially added in versions v13.10.0
and v12.17.0
, and later stabilized in v16.4.0
. It is part of the async_hooks module, which provides a way to track asynchronous resources in Node.js applications. The feature enables the creation of a shared context that multiple asynchronous functions can access without explicitly passing it. The context is available in every (and only) operation executed within the callback passed to the run()
method of the AsyncLocalStorage
instance.
A pattern for using AsyncLocalStorage
Before diving into the examples, let’s explain the pattern we will be using.
Initialization
typescript
import { AsyncLocalStorage } from "async_hooks";
import { Context } from "./types";
export const asyncLocalStorage = new AsyncLocalStorage<Context>();
// export const authAsyncLocalStorage = new AuthAsyncLocalStorage<AuthContext>()
In the module above, we initialize an instance of AsyncLocalStorage
and export it as a variable.
Usage
typescript
asyncLocalStorage.run({ userId }, async () => {
const usersData: UserData = await collectUsersData();
console.log("usersData", usersData);
});
// (method) AsyncLocalStorage<unknown>.run<Promise<void>>(store: unknown, callback: () => Promise<void>): Promise<void> (+1 overload)
The run()
method takes two arguments: storage
, which contains the data we want to share, and callback
, where we place our logic. As a result, the storage
becomes accessible in every function call within the callback
, allowing for seamless data sharing across asynchronous operations.
typescript
async function collectUsersData() {
const context = asyncLocalStorage.getStore();
}
To access the context, we import our instance and call the asyncLocalStorage.getStore()
method. The great thing is that the storage
retrieved from getStore()
is typed because we passed the Context
type to AsyncLocalStorage
during initialization: new AsyncLocalStorage<Context>()
.
Async Local Storage as an auth context
There is no web application without an authentication system. We must validate auth tokens and extract user information. Once we obtain the user identity, we want to make it available in the route handlers and avoid duplicating code in each one. Let’s see how we can utilize AsyncLocalStorage
to implement an auth context while keeping our code clean.
I chose fastify
for this example.
According to the documentation fastify
is:
Fast and low overhead web framework, for Node.js
Ok, let's get started:
- Install
fastify
:
terminal
npm install fastify
- Define type for our auth context:
typescript
type Context = Map<"userId", string>;
- Initialize an instance of AsyncLocalStorage, assign it to a variable, and export the variable. Remember to pass the relevant type:
new AsyncLocalStorage<Context>()
.
typescript
import { AsyncLocalStorage } from "async_hooks";
import { Context } from "./types";
export const authAsyncLocalStorage = new AsyncLocalStorage<Context>();
- Initialize a
Fastify
instance and add a utility for error handling:
typescript
import Fastify from "fastify";
/* other code... */
const app = Fastify();
function sendUnauthorized(reply: FastifyReply, message: string) {
reply.code(401).send({ error: `Unauthorized: ${message}` });
}
/* other code... */
Now comes the very important part. We are going to add an onRequest
hook to wrap handlers with the authAsyncLocalStorage.run()
method.
typescript
import Fastify from "fastify";
import { authAsyncLocalStorage } from "./context";
import { getUserIdFromToken, validateToken } from "./utils";
/* other code... */
app.addHook(
"onRequest",
(request: FastifyRequest, reply: FastifyReply, done: () => void) => {
const accessToken = request.headers.authorization?.split(" ")[1];
const isTokenValid = validateToken(accessToken);
if (!isTokenValid) {
sendUnauthorized(reply, "Access token is invalid");
}
const userId = accessToken ? getUserIdFromToken(accessToken) : null;
if (!userId) {
sendUnauthorized(reply, "Invalid or expired token");
}
authAsyncLocalStorage.run(new Map([["userId", userId]]), async () => {
await new Promise((resolve) => setTimeout(resolve, 2000));
sendUnauthorized(reply, "Invalid or expired token");
done();
});
},
);
/* other code... */
After successful validation, we call the run()
method from our authAsyncLocalStorage
. As the storage
argument, we pass the auth context with the userId
retrieved from the token. In the callback, we call the done
function to continue with the Fastify lifecycle.
If we have authentication checks that require asynchronous operations, we should add them to the callback
. This is because, according to the documentation:
the done callback is not available when using async/await or returning a Promise. If you do invoke a done callback in this situation unexpected behavior may occur, e.g. duplicate invocation of handlers
Here's an example of how that might look:
typescript
/* other code... */
authAsyncLocalStorage.run(new Map([["userId", userId]]), async () => {
const isUserValid = await checkIfUserIsValid(userId);
if (!isUserValid) {
sendUnauthorized(reply, "User identity not valid");
}
done();
});
Our example has only one protected route. In more complex scenarios, you might need to wrap only specific routes with the authentication context. In such cases, you could either:
- Wrap the
onRequest
hook in a custom plugin that's applied only to specific routes. - Add route distinction logic within the
onRequest
hook itself.
All right, our context is set and we can now define a protected route:
typescript
import { UserRepository } from "./user-repository";
import { getContext } from "./with-async-local-storage";
import { Context } from "./types";
/* other code... */
app.get("/email-addresses", async () => {
const context = authAsyncLocalStorage.getStore();
const userId = context.get("userId");
const userRepository = new UserRepository();
const addresses = await userRepository.getEmailAddresses(userId);
return { addresses };
});
The code is pretty straightforward. We import authAsyncLocalStorage
, retrieve the userId
, initialize UserRepository
, and fetch data. This approach keeps the route handler clean and focused.
Exploring How Next.js uses Async Local Storage
In this example, we'll reimplement the cookies helper from Next.js. But wait—this is a post about AsyncLocalStorage, right? So why are we talking about cookies? The answer is simple: Next.js uses AsyncLocalStorage to manage cookies on the server. That's why reading a cookie in a server component is as easy as:
JSX
import { cookies } from "next/headers";
export default function ExamplePage() {
const cookieStore = await cookies();
const testCookie = cookieStore.get("test");
return (
<div>
<h1>Server Component: Cookie Usage</h1>
{testCookie?.value || ""}
</div>
);
}
We use the cookies
function exported from next/headers
, which provides several methods for managing cookies. But how is this technically possible?
Now it's time to start our re-implementation"
First, I want to mention that this example is based on the knowledge I gained from a great video, by Lee Robinson and diving in the Next.js repository.
In this example, we'll use Hono as our server framework. I chose it for two reasons:
- I just wanted to give it a try.
- It offers solid support for
JSX
.
First install Hono
:
terminal
npm install hono
Now, initialize Hono
and add middleware:
typescript
import { serve } from "@hono/node-server";
import { Hono } from "hono";
import { logger } from "hono/logger";
import withAsyncLocalStorage from "./with-async-local-storage";
import { setCookieContext } from "./cookies";
const app = new Hono();
app.use(logger());
app.use(async (c, next) => {
return cookieAsyncLocalStorage.run(setCookieContext(c), async () => {
await next();
});
});
serve(
{
fetch: app.fetch,
port: 3000,
},
(info) => {
console.log(`Server is running on http://localhost:${info.port}`);
},
);
The code resembles the middleware from the Fastify example, does it? To set the context, we utilize setCookieContext
, which is imported from the cookies
module — our custom simple implementation of the cookies
function. Let's follow the setCookieContext
function and navigate to the module from which it was imported:
typescript
import type { Context, Env } from "hono";
import { deleteCookie, getCookie, setCookie } from "hono/cookie";
import { cookieAsyncLocalStorage } from "./context";
const MOCK_ERROR = "Can not set or delete cookie in server component";
export function setCookieContext(c: Context<Env, never, {}>) {
return {
cookies: getCookie(c),
setCookie: (key: string, value: string) => setCookie(c, key, value),
deleteCookie: (key: string) => deleteCookie(c, key),
};
}
function cookies() {
const context = cookieAsyncLocalStorage.getStore();
const methods = {
getCookies: () => {
if (!context?.cookies) return [];
return Object.entries(context.cookies).map(([key, value]) => ({
key,
value,
}));
},
setCookie: (key: string, value: string) => {
throw new Error(MOCK_ERROR);
},
deleteCookie: (key: string) => {
throw new Error(MOCK_ERROR);
},
};
return new Promise<typeof methods>((resolve) => {
resolve(methods);
});
}
export default cookies;
The setCookieContext
function (whose return value we passed to cookieAsyncLocalStorage.run()
in the Hono middleware) extracts cookies from the c
parameter, which represents the hono context, and bundles them with closures that provide utility functions for managing cookies.
Our cookies
function replicates the functionality of the cookies
from next/headers
. It utilizes the cookieAsyncLocalStorage.getStore()
method to access the same context that is passed to cookieAsyncLocalStorage.run()
when it is called.
We wrapped the return of our cookies
function in a promise to mimic the behavior of the Next.js implementation. Prior to version 15, this function was synchronous. Now, in the current Next.js code, the methods returned by the cookies
are attached to a promise object, as shown in the following simplified example:
typescript
/* .......... */
// https://github.com/vercel/next.js/blob/canary/packages/next/src/server/request/cookies.ts
Object.defineProperties(promise, {
[Symbol.iterator]: {
get: {
value: function () {
/* .... */
},
},
getAll: {
value: function () {
/* .... */
},
},
has: {
value: function () {
/* .... */
},
},
set: {
value: function () {
/* .... */
},
},
delete: {
value: function () {
/* .... */
},
},
/* .... */
},
});
/* .... */
Another point worth mentioning is that in our case, using cookies.setCookie
and cookies.deleteCookie
always throws an error, similar to the behavior observed in Next.js when setting cookies in a server component. We hardcoded this logic because, in the original implementation, whether we can use setCookie
or deleteCookie
depends on the phase(WorkUnitPhase
) property stored in the storage called RequestStore
(this is the implementation of AsyncLocalStorage
and also stores cookies). However, that topic is better suited for another post. To keep this example simple, let's omit the simulation of WorkUnitPhase
.
Now we need to add our React code.
- Add the App component:
JSX
import type { FC } from "hono/jsx";
const App: FC = ({ children }) => {
return (
<html>
<body>{children}</body>
</html>
);
};
export default App;
- Add a component for managing cookies:
JSX
import { FC } from "hono/jsx";
import cookies from "../cookies";
const DisplayCookies: FC = async () => {
const cookieStore = await cookies();
return (
<div>
<h1>Hello!</h1>
<p>Here are your cookies:</p>
<ul>
{cookieStore.getCookies().map((cookie) => (
<li key={cookie.key}>
{cookie.key}: {cookie.value}
</li>
))}
</ul>
</div>
);
};
export default DisplayCookies;
The usage of cookies is similar to how it is used in Next.js React server components.
- Add a route handler to render the template:
JSX
import { serve } from "@hono/node-server";
import { Hono } from "hono";
import { logger } from "hono/logger";
import App from "./components/app";
import DisplayCookies from "./components/display-cookies";
import { setCookieContext } from "./cookies";
import { cookieAsyncLocalStorage } from "./context";
const app = new Hono();
app.use(logger());
app.use(async (c, next) => {
return cookieAsyncLocalStorage.run(setCookieContext(c), async () => {
await next();
});
});
app.get("/", async (c) => {
const renderDisplayCookiesComponent = await (<DisplayCookies />);
return c.html(<App>{renderDisplayCookiesComponent}</App>);
});
serve(
{
fetch: app.fetch,
port: 8000,
},
(info) => {
console.log(`Server is running on http://localhost:${info.port}`);
},
);
Our template is rendered by the html
method from the hono
context. The key point here is that the route handler runs within the asyncLocalStorage.run()
method, which takes cookieContext
. As a result, we can access this context in the DisplayCookies
component through the cookies
function.
It is not possible to set cookies inside React server components, so we need to do it manually:
Let's refresh a page:
And here we are, our cookies are successfully retrieved and displayed.
Conclusions
There are many more use cases for asyncLocalStorage
. This feature allows you to build custom contexts in nearly any server framework. The asyncLocalStorage context is encapsulated within the execution of the run()
method, making it easy to manage. It’s perfect for handling request-based scenarios. The API is simple and flexible, enabling scalability by creating instances for each state. It is possible to seamlessly maintain separate contexts for things like authentication, logging, and feature flags.
Despite its benefits, there are a few considerations to keep in mind. I've heard opinions that asyncLocalStorage
introduces too much 'magic' into the code. I'll admit that when I first used this feature, it took me some time to fully grasp the concept. Another thing to consider is that importing the context into a module creates a new dependency that you’ll need to manage. However, in the end, passing values through deeply nested function calls is much worse.
Thanks for reading, and see you in the next post!👋
PS: You can find the examples(plus one bonus) here