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nestjs-cls
Advanced tools
A continuation-local storage module compatible with NestJS's dependency injection.
The 'nestjs-cls' package provides a way to manage context-local storage in NestJS applications. It allows you to store and retrieve data that is scoped to the current request, making it useful for tasks like logging, tracing, and managing user sessions.
Context Management
This feature allows you to set and get values within the context of a request. The 'ClsService' is used to manage context-local storage, making it easy to store and retrieve data that is specific to the current request.
const { ClsService } = require('nestjs-cls');
@Injectable()
export class MyService {
constructor(private readonly cls: ClsService) {}
doSomething() {
this.cls.set('key', 'value');
const value = this.cls.get('key');
console.log(value); // Outputs: 'value'
}
}
Middleware Integration
This feature demonstrates how to integrate 'ClsMiddleware' into your NestJS application. By applying this middleware, you ensure that context-local storage is available for all routes, making it easy to manage request-specific data throughout your application.
const { ClsMiddleware } = require('nestjs-cls');
@Module({
providers: [ClsMiddleware],
})
export class AppModule {
configure(consumer: MiddlewareConsumer) {
consumer
.apply(ClsMiddleware)
.forRoutes('*');
}
}
Async Context Management
This feature shows how to manage context-local storage in asynchronous operations. The 'run' method of 'ClsService' ensures that the context is preserved across asynchronous boundaries, allowing you to set and get values within async functions.
const { ClsService } = require('nestjs-cls');
@Injectable()
export class MyService {
constructor(private readonly cls: ClsService) {}
async doSomethingAsync() {
await this.cls.run(async () => {
this.cls.set('key', 'value');
const value = this.cls.get('key');
console.log(value); // Outputs: 'value'
});
}
}
The 'cls-hooked' package provides a way to manage context-local storage using Node.js async_hooks. It is a lower-level library compared to 'nestjs-cls' and requires more manual setup, but it offers similar functionality for managing request-specific data.
The 'async-local-storage' package is another library for managing context-local storage in Node.js applications. It provides a simple API for storing and retrieving data that is scoped to the current request, similar to 'nestjs-cls', but without the NestJS-specific integrations.
The 'continuation-local-storage' package offers context-local storage using the continuation-local-storage API. It is an older library and has been largely replaced by 'cls-hooked', but it still provides similar functionality for managing request-specific data.
A continuation-local* storage module compatible with NestJS' dependency injection based on AsyncLocalStorage.
New: Version
3.0
introduces Proxy Providers as an alternative to the imperative API. (Minor breaking changes were introduced, see Migration guide).
Version
2.0
brings advanced type safety and type inference. However, it requires features fromtypescript >= 4.4
- Namely allowingsymbol
members in interfaces. If you can't upgrade but still want to use this library, install version1.6.2
, which lacks the typing features.
Continuation-local storage allows to store state and propagate it throughout callbacks and promise chains. It allows storing data throughout the lifetime of a web request or any other asynchronous duration. It is similar to thread-local storage in other languages.
Some common use cases that this library enables include:
transaction
object of your favourite ORM across services without breaking encapsulation and isolation by explicitly passing it around.Most of these are to some extent solvable using REQUEST-scoped providers or passing the context as a parameter, but these solutions are often clunky and come with a whole lot of other issues.
You might also be interested in The Author's Take on the topic.
(*) The name comes from the original implementation based on
cls-hooked
, which was since replaced by the nativeAsyncLocalStorage
.
npm install nestjs-cls
# or
yarn add nestjs-cls
Note: This module requires additional peer deps, like the nestjs core and common libraries, but it is assumed those are already installed.
Below is an example of storing the client's IP address in an interceptor and retrieving it in a service without explicitly passing it along.
Note: This example assumes you are using HTTP and therefore can use middleware. For usage with non-HTTP transports, keep reading.
// app.module.ts
@Module({
imports: [
// Register the ClsModule and automatically mount the ClsMiddleware
ClsModule.forRoot({
global: true,
middleware: { mount: true },
}),
],
providers: [AppService],
controllers: [AppController],
})
export class TestHttpApp {}
/* user-ip.interceptor.ts */
@Injectable()
export class UserIpInterceptor implements NestInterceptor {
constructor(
// Inject the ClsService into the interceptor to get
// access to the current shared cls context.
private readonly cls: ClsService,
) {}
intercept(context: ExecutionContext, next: CallHandler): Observable<any> {
// Extract the client's ip address from the request...
const request = context.switchToHttp().getRequest();
const userIp = request.connection.remoteAddress;
// ...and store it to the cls context.
this.cls.set('ip', userIp);
return next.handle();
}
}
/* app.controller.ts */
// By mounting the interceptor on the controller, it gets access
// to the same shared cls context that the ClsMiddleware set up.
@UseInterceptors(UserIpInterceptor)
@Injectable()
export class AppController {
constructor(private readonly appService: AppService) {}
@Get('/hello')
hello() {
return this.appService.sayHello();
}
}
/* app.service.ts */
@Injectable()
export class AppService {
constructor(
// Inject ClsService to be able to retrieve data from the cls context.
private readonly cls: ClsService,
) {}
sayHello() {
// Here we can extract the value of 'ip' that was
// put into the cls context in the interceptor.
return 'Hello ' + this.cls.get('ip') + '!';
}
}
Continuation-local storage provides a common space for storing and retrieving data throughout the life of a function/callback call chain. In NestJS, this allows for sharing request data across the lifetime of a single request - without the need for request-scoped providers. It also makes it easy to track and log request ids throughout the whole application.
To make CLS work, it is required to set up the CLS context first. This is done by calling cls.run()
(or cls.enter()
, see Security considerations for more info) somewhere in the app. Once that is set up, anything that is called within the same callback chain has access to the same storage with cls.set()
and cls.get()
.
This package provides three methods of setting up the CLS context for incoming requests. This is mainly due to the fact that different underlying platforms are compatible with some of these methods - see Compatibility considerations.
For HTTP transports, the context can be preferably set up in a ClsMiddleware
. For all other platforms, or cases where the ClsMiddleware
is not applicable, this package also provides a ClsGuard
and ClsInterceptor
. While both of these also work with HTTP, they come with some caveats, see below.
Since in NestJS, HTTP middleware is the first thing to run when a request arrives, it is an ideal place to initialise the cls context. This package provides ClsMiddleware
that can be mounted to all (or selected) routes inside which the context is set up before the next()
call.
All you have to do is mount it to routes in which you want to use CLS, or pass middleware: { mount: true }
to the ClsModule.forRoot()
options which automatically mounts it to all routes.
Once that is set up, the ClsService
will have access to a common storage in all Guards, Interceptors, Pipes, Controllers, Services and Exception Filters that are called within that route.
Sometimes, you might want to only use CLS on certain routes. In that case, you can bind the ClsMiddleware manually in the module:
export class AppModule implements NestModule {
configure(consumer: MiddlewareConsumer) {
consumer.apply(ClsMiddleware).forRoutes(AppController);
}
}
Sometimes, however, that won't be enough, because the middleware could be mounted too late and you won't be able to use it in other middlewares that need to run prior to that. In that case, you can mount it directly in the bootstrap method:
function bootstrap() {
const app = await NestFactory.create(AppModule);
// create and mount the middleware manually here
app.use(
new ClsMiddleware({
/* useEnterWith: true */
}).use,
);
await app.listen(3000);
}
Please note: If you bind the middleware using
app.use()
, it will not respect middleware settings passed toClsModule.forRoot()
, so you will have to provide them yourself in the constructor.
The ClsGuard
can be also used set up the CLS context. While it is not a "guard" per-se, it's the second best place to set up the CLS context, since after a middleware, it is the first piece of code that the request hits.
To use it, pass its configuration to the guard
property to the ClsModule.rotRoot()
options:
ClsModule.forRoot({
guard: { generateId: true, mount: true }
}),
If you need any other guards to use the ClsService
, it's preferable to mount ClsGuard
manually as the first guard in the root module:
@Module({
//...
providers: [
{
provide: APP_GUARD,
useClass: ClsGuard,
},
],
})
export class AppModule {}
or mount it directly on the Controller/Resolver with
@UseGuards(ClsGuard);
Please note: since the
ClsGuard
uses theAsyncLocalStorage#enterWith
method, using theClsGuard
comes with some security considerations!
Another place to initiate the CLS context is an ClsInterceptor
, which, unlike the ClsGuard
uses AsyncLocalStorage#run
method to wrap the following code, which is considered safer than enterWith
.
To use it, pass its configuration to the interceptor
property to the ClsModule.forRoot()
options:
ClsModule.forRoot({
interceptor: { generateId: true, mount: true }
}),
Or mount it manually as APP_INTERCEPTOR
, or directly on the Controller/Resolver with:
@UseInterceptors(ClsInterceptor);
Please note: Since Nest's Interceptors run after Guards, that means using this method makes CLS unavailable in Guards (and in case of REST Controllers, also in Exception Filters).
The @UseCls()
decorator can be used at a method level to declaratively wrap the method with a cls.run()
call. This method should only be used outside of the context of a web request.
Note: Please keep in mind, that since the CLS context initialization can be async, the
@UseCls()
decorator can only be used on async function (or those that return aPromise
).
In addition to the basic functionality described in the Quick start chapter, this module provides several other features.
Because of a shared storage, CLS is an ideal tool for tracking request (correlation) IDs for the purpose of logging. This package provides an option to automatically generate request IDs in the middleware/guard/interceptor, if you pass { generateId: true }
to its options. By default, the generated ID is a string based on Math.random()
, but you can provide a custom function in the idGenerator
option.
This function receives the Request
(or ExecutionContext
in case a ClsGuard
is used) as the first parameter, which can be used in the generation process and should return (or resolve with) a string ID that will be stored in the CLS for later use.
Below is an example of retrieving the request ID from the request header with a fallback to an autogenerated one.
ClsModule.forRoot({
middleware: {
mount: true,
generateId: true,
idGenerator: (req: Request) =>
req.headers['X-Request-Id'] ?? uuid();
}
})
The ID is stored under the CLS_ID
constant in the context. ClsService
provides a shorthand method getId
to quickly retrieve it anywhere. It can be for example used in a custom logger:
// my.logger.ts
@Injectable()
class MyLogger {
constructor(private readonly cls: ClsService) {}
log(message: string) {
console.log(`<${this.cls.getId()}> ${message}`);
}
// [...]
}
// my.service.ts
@Injectable()
class MyService {
constructor(private readonly logger: MyLogger);
hello() {
this.logger.log('Hello');
// -> logs for ex.: "<44c2d8ff-49a6-4244-869f-75a2df11517a> Hello"
}
}
The CLS middleware/guard/interceptor provide some default functionality, but sometimes you might want to store more things about the request in the context. This can be of course done in a custom enhancer bound after, but for this scenario the options expose the setup
function, which will be executed in the enhancer right after the CLS context is set up.
The function receives the ClsService
instance, the Request
and Response
objects (or the ExecutionContext
object) , and can be asynchronous.
ClsModule.forRoot({
middleware: {
mount: true,
setup: (cls, req: Request, res: Response) => {
// put some additional default info in the CLS
cls.set('TENANT_ID', req.params('tenant_id'));
cls.set('AUTH', { authenticated: false });
},
},
});
Sometimes, a part of the app that relies on the CLS storage might need to be called outside of the context of a web request - for example, in a Cron job, while consuming a Queue or during the application bootstrap. In such cases, there are no enhancers that can be bound to the handler to set up the context.
Therefore, you as the the developer are responsible for wrapping the execution with ClsService#run
, or using the @UseCls
decorator. In any case, if any following code depends on some context variables, these need to be set up manually.
@Injectable()
export class CronController {
constructor(
private readonly someService: SomeService,
private readonly cls: ClsService,
);
@Cron('45 * * * * *')
async handleCronExample1() {
// either explicitly wrap the function body with
// a call to `ClsService#run` ...
await this.cls.run(async () => {
this.cls.set('mode', 'cron');
await this.someService.doTheThing();
});
}
@Cron('90 * * * * *')
// ... or use the convenience decorator which
// does the wrapping for you seamlessly.
@UseCls({
setup: (cls) => {
cls.set('mode', 'cron');
},
})
async handleCronExample2() {
await this.someService.doTheThing();
}
}
While this package aims to be compatible with NestJS's DI, it is also possible to access the CLS context outside of it. For that, it provides the static ClsServiceManager
class that exposes the getClsService()
method.
function helper() {
const cls = ClsServiceManager.getClsService();
// you now have access to the shared storage
console.log(cls.getId());
}
Please note: Only use this feature where absolutely necessary. Using this technique instead of dependency injection will make it difficult to mock the ClsService and your code will become harder to test.
Since
v2.0
By default the CLS context is untyped and allows setting and retrieving any string
or symbol
key from the context. Some safety can be enforced by using CONSTANTS
instead of magic strings, but that might not be enough.
It is possible to specify a custom interface for the ClsService
and get proper typing and automatic type inference when retrieving or setting values. This works even for nested objects using a dot notation.
To create a typed CLS Store, start by creating an interface that extends ClsStore
.
export interface MyClsStore extends ClsStore {
tenantId: string;
user: {
id: number;
authorized: boolean;
};
}
Then you can inject the ClsService
with a type parameter ClsService<MyClsStore>
to make use of the safe typing.
export class MyService {
constructor(private readonly cls: ClsService<MyClsStore>) {}
doTheThing() {
// a boolean type will be enforced here
this.cls.set('user.authorized', true);
// tenantId will be inferred as a string
const tenantId = this.cls.get('tenantId');
// userId will be inferred as a number
const userId = this.cls.get('user.id');
// user will be inferred as { id: number, authorized: boolean }
const user = this.cls.get('user');
// you'll even get intellisense for the keys, because the type
// will be inferred as:
// symbol | 'tenantId˙ | 'user' | 'user.id' | 'user.authorized'
// alternatively, since the `get` method returns the whole store
// when called without arguments, you can use object destructuring
const { tenantId, user } = this.cls.get();
// accessing a nonexistent property will result in a type error
const notExist = this.cls.get('user.name');
}
}
Alternatively, if you feel like using ClsService<MyClsStore>
everywhere is tedious, you can instead globally augment the ClsStore interface
and have strict typing of ClsService
anywhere without the type parameter:
declare module 'nestjs-cls' {
interface ClsStore {
tenantId: string;
user: {
id: number;
authorized: boolean;
};
}
}
For even more transparent approach without augmenting the declaration, you can create a typed ClsService
by extending it and creating a custom provider out of it:
export class MyClsService extends ClsService<MyClsStore>
@Module({
imports: [ClsModule.forFeature()]
providers: [{
provide: MyClsService,
useExisting: ClsService
}],
exports: [MyClsService]
})
class MyClsModule
It can happen, that the object you want to store in the context is too complex, or contains cyclic references. In that case, typescript might complain that type instantiation is too deep, possibly infinite. That is due to the fact that it tries to generate all possible paths inside the ClsStore. If that's the case, you can use the Terminal
type to stop generating the paths for a certain subtree:
interface ClsStore {
tenantId: string;
user: Terminal<{
id: number;
authorized: boolean;
}>;
}
This will only generate the paths tenantId | user
and won't allow directly accessing nested keys (like cls.get('user.id')
, but you'll still get fully typing for things like const { id } = cls.get('user')
). See issue #22 for more details.
Since
v3.0
This feature was inspired by how REQUEST-scoped providers ("beans") work in the Spring framework for Java/Kotlin.
Using this technique, NestJS does not need to re-create a whole DI-subtree on each request (which has certain implications which disallows the use of REQUEST-scoped providers in certain situations), but it rather injects a SINGLETON Proxy instance, which delegates access and calls to the actual instance, which is created for each request when the CLS context is set up.
There are two kinds of Proxy providers - Class and Factory.
These providers look like your regular class providers, with the exception that is the @InjectableProxy()
decorator to make them easily distinguishable.
@InjectableProxy()
export class User {
id: number;
role: string;
}
To register the proxy provider, use the ClsModule.forFeature()
registration
ClsModule.forFeature(User);
It can be then injected using the class name. However, what will be actually injected is not the instance of the class, but rather the Proxy which redirects all access to an unique instance in the CLS context.
@Injectable()
export class UserInterceptor implements NestInterceptor {
// we can inject the proxy here
constructor(private readonly user: User) {}
intercept(context: ExecutionContext, next: CallHandler): Observable<any> {
const request = context.switchToHttp().getRequest();
// and assign or change values as it was a normal object
this.user.id = request.user.id;
this.user.role = 'admin';
return next.handle();
}
}
It is also possible to inject other providers into the Proxy Provider.
For the convenience, the CLS_REQ
and CLS_RES
were also made into Proxy Providers and are exported from the ClsModule
.
@InjectableProxy()
export class AutoBootstrappingUser {
id: number;
role: string;
constructor(@Inject(CLS_REQ) request: Request) {
this.id = request.user.id;
this.role = 'admin';
}
}
If you need to inject a provider from an external module, use the ClsService.forFeatureAsync()
registration to import it first.
ClsModule.forFeatureAsync({
// say the DogsModule provides the DogsService
import: [DogsModule],
// now you can inject DogsService in the DogContext Proxy Provider
useClass: DogContext,
});
Like your normal factory providers, Proxy factory providers look familiar.
Here's an example of a hypothetical factory provider that dynamically resolves to a specific tenant database connection:
ClsModule.forFeature({
provide: TENANT_CONNECTION,
import: [DatabaseConnectionModule],
inject: [CLS_REQ, DatabaseConnectionService],
useFactory: async (req: Request, dbService: DatabaseConnectionService) => {
const tenantId = req.params['tenantId'];
const connection = await dbService.getTenantConnection(tenantId);
return connection;
},
});
Again, the factory will be called on each request and the result will be stored in the CLS context. The TENANT_CONNECTION
provider, however, will still be a singleton and will not affect the scope of whatever it is injected into.
In the service, it can be injected using the provide
token as usual:
@Injectable()
class DogsService {
constructor(
@Inject(TENANT_CONNECTION)
private readonly connection: TenantConnection,
) {}
getAll() {
//
return this.connection.dogs.getAll();
}
}
Please note: Proxy Factory providers cannot return a primitive value. This is because the provider itself is the Proxy and it only delegates access once a property or a method is called on it (or if it itself is called in case the factory provides a function).
By default, proxy providers are resolved as soon as the setup
function in an enhancer (middleware/guard/interceptor) finishes. For some use cases, it might be required that the resolution is delayed until some later point in the request lifecycle once more information is present in the CLS .
To achieve that, set resolveProxyProviders
to false
in the enhancer options and call ClsService#resolveProxyProviders()
manually at any time.
This is also necessary if you want to access Proxy Providers outside the context of web request once you set up the context with cls.run()
, to actually instantiate the Proxy Providers and store them in the CLS context. Otherwise all access to an injected Proxy Provider will return undefined
.
The injectable ClsService
provides the following API to manipulate the cls context:
set
(key: string, value: any): void
Set a value on the CLS context.
get
(key?: string): any
Retrieve a value from the CLS context by key. Get the whole store if key is omitted.
has
(key: string): boolean
Check if a key is in the CLS context.
getId
(): string;
Retrieve the request ID (a shorthand for cls.get(CLS_ID)
)
enter
(): void;
Run any following code in a shared CLS context.
enterWith
(store: any): void;
Run any following code in a shared CLS context (while supplying the default contents).
run
(callback: () => T): T;
Run the callback in a shared CLS context.
runWith
(store: any, callback: () => T): T;
Run the callback in a shared CLS context (while supplying the default contents).
isActive
(): boolean
Whether the current code runs within an active CLS context.
resolveProxyProviders
(): Promise<boolean>
Manually trigger resolution of Proxy Providers
The ClsModule.forRoot()
method takes the following ClsModuleOptions
:
middleware?:
ClsMiddlewareOptions
An object with additional options for the ClsMiddleware
, see below.
guard?:
ClsGuardOptions
An object with additional options for the ClsGuard
, see below.
interceptor?:
ClsInterceptorOptions
An object with additional options for the ClsInterceptor
, see below.
global?:
boolean
(default false
)
Whether to make the module global, so you do not have to import ClsModule.forFeature()
in other modules.
proxyProviders?:
Type[]
Array of Proxy Providers that should be registered in the root module. Currently only accepts sync class Proxy providers, use ClsModule.forFeatureAsync()
for more complex use-cases.
Please note: the
middleware
,guard
andinterceptor
options should be mutually exclusive - do not use more than one of them, otherwise the context will be overwritten by the one that runs after.
ClsModule.forRootAsync()
is also available. You can supply the usual imports
, inject
and useFactory
parameters.
The ClsModule.forFeature()
method can be used to register a Proxy Providers. The Sync method only accepts Class Proxy providers.
The ClsModule.forFeatureAsync()
method accepts either ClsModuleProxyClassProviderOptions
or ClsModuleProxyFactoryProviderOptions
that both accept these options:
provide?:
any
Custom injection token to use for the provider. In case of a class provider, this parameter is optional, as the class reference passed to useClass
will be used by default.
imports?
any[]
Optional list of imported modules that export the providers which are required for the provider.
extraProviders?:
Provider[]
Optional list of additional providers that should be available to the Proxy. Useful for passing configuration from a parent dynamic module.
The ClsModuleProxyClassProviderOptions
interface further accepts:
useClass:
Type
@InjectableProxy
.The ClsModuleProxyFactoryProviderOptions
interface further accepts:
inject:
any[]
An array of injection tokens for providers used in the useFactory
.
useFactory:
(...args: any[]) => any
Factory function that accepts an array of providers in the order of the according tokens in the inject
array. Returns (or resolves with) an object (or a function) that will be used by this Proxy Provider.
All of the Cls{Middleware,Guard,Interceptor}Options
take the following parameters (either in ClsModuleOptions
or directly when instantiating them manually):
mount?:
boolean
(default false
)
Whether to automatically mount the middleware/guard/interceptor to every route (not applicable when instantiating them manually)
generateId?:
boolean
(default false
)
Whether to automatically generate a request ID. It will be available under the CLS_ID
key.
idGenerator?:
(req: Request) => string | Promise<string>
idGenerator?:
(ctx: ExecutionContext) => string | Promise<string>
An optional function for generating the request ID. It takes the Request
object (or the ExecutionContext
in case of a Guard or Interceptor) as an argument and (synchronously or asynchronously) returns a string. The default implementation uses Math.random()
to generate a string of 8 characters.
setup?:
(cls: ClsService, req: Request) => void | Promise<void>;
setup?:
(cls: ClsService, ctx: ExecutionContext) => void | Promise<void>;
Function that executes after the CLS context had been initialised. It can be used to put additional variables in the CLS context.
resolveProxyProviders?:
boolean
(default true
)
Whether to automatically resolve Proxy Providers in the enhancer (if any are registered).
The ClsMiddlewareOptions
additionally takes the following parameters:
saveReq?:
boolean
(default true
)
Whether to store the Request object to the context. It will be available under the CLS_REQ
key.
saveRes?:
boolean
(default false
)
Whether to store the Response object to the context. It will be available under the CLS_RES
key
useEnterWith?:
boolean
(default false
)
Set to true
to set up the context using a call to AsyncLocalStorage#enterWith
instead of wrapping the next()
call with the safer AsyncLocalStorage#run
. Most of the time this should not be necessary, but some frameworks are known to lose the context with run
.
It is often discussed whether AsyncLocalStorage
is safe to use for concurrent requests (because of a possible context leak) and whether the context could be lost throughout the duration of a request.
The ClsMiddleware
by default uses the safe run()
method, so it should not leak context, however, that only works for REST Controllers
.
GraphQL Resolvers
, cause the context to be lost and therefore require using the less safe enterWith()
method. The same applies to using ClsGuard
to set up the context, since there's no callback to wrap with the run()
call, the only way to set up context in a guard is to use enterWith()
(the context would be not available outside of the guard otherwise).
This has a consequence that should be taken into account:
When the
enterWith
method is used, any consequent requests get access to the context of the previous one until the request hits theenterWith
call.
That means, when using ClsMiddleware
with the useEnterWith
option, or ClsGuard
to set up context, be sure to mount them as early in the request lifetime as possible and do not use any other enhancers that rely on ClsService
before them. For ClsGuard
, that means you should probably manually mount it in AppModule
if you require any other guard to run after it.
The ClsInterceptor
only uses the safe run()
method.
The table below outlines the compatibility with some platforms:
REST | GQL | WS | Microservices | |
---|---|---|---|---|
ClsMiddleware | ✔ | ✔ | ✖ | ✖ |
ClsGuard (uses enterWith ) | ✔ | ✔ | ✔* | ✔ |
ClsInterceptor (context inaccessible in Guards) | ✔ context also inaccessible in Exception Filters | ✔ | ✔* | ✔ |
This package is 100% compatible with Nest-supported REST controllers and the preferred way is to use the ClsMiddleware
with the mount
option.
Tested with:
@nestjs/graphql >= 10
,Since v10, this package is 100% compatible with GraphQL resolvers and the preferred way is to use the ClsMiddleware
with the mount
option.
Using an interceptor or a guard may result in that enhancer triggering multiple times in case of nested resolvers, which may mess with ID generation.
@nestjs/graphql < 10
For older versions of graphql, the ClsMiddleware
needs to be mounted manually with app.use(...)
in order to correctly set up the context for resolvers. Additionally, you have to pass useEnterWith: true
to the ClsMiddleware
options, because the context gets lost otherwise due to an issue with CLS and Apollo (sadly, the same is true for Mercurius). This method is functionally identical to just using the ClsGuard
.
Alternatively, you can use the ClsInterceptor
, which uses the safer AsyncLocalStorage#run
(thanks to andreialecu), but remember that using it makes CLS unavailable in Guards.
Tested with:
Use the ClsGuard
or ClsInterceptor
to set up context with any other platform.There are no explicit test for other transports, so I can't guarantee it will work with your platform of choice, but there's nothing that would indicate otherwise.
If you decide to try this package with a platform that is not listed here, please let me know so I can add the compatibility notice.
Below are listed platforms with which it is confirmed to work:
Websocket Gateways don't respect globally bound enhancers, therefore it is required to bind the ClsGuard
or ClsInterceptor
manually on the WebsocketGateway
. Special care is also needed for the handleConnection
method (See #8)
NestJS is an amazing framework, but in the plethora of awesome built-in features, I still missed one.
I created this library to solve a specific use case, which was limiting access to only those records which had the same TenantId as the request's user in a central manner. The repository code automatically added a WHERE
clause to each query, which made sure that other developers couldn't accidentally mix tenant data (all tenants' data were held in the same database) without extra effort.
AsyncLocalStorage
is still fairly new and not many people know of its existence and benefits. Here's a nice talk from NodeConf about the history. I've invested a great deal of my personal time in making the use of it as pleasant as possible.
While the use of async_hooks
is sometimes criticized for making Node run slower, in my experience, the introduced overhead is negligible compared to any IO operation (like a DB or external API call). If you want fast, use a compiled language.
Also, if you use some tracing library (like otel
), it most likely already uses async_hooks
under the hood, so you might as well use it to your advantage.
Contributing to a community project is always welcome, please see the Contributing guide :)
v2.x
➡️ v3.x
The root registration method was renamed from register
(resp. registerAsync
) to forRoot
(resp. forRootAsync
) to align with the convention.
- ClsModule.register({
+ ClsModule.forRoot({
middleware: { mount: true },
}),
Namespace injection support was dropped entirely, if you still have use case for it, you can still create a namespaced ClsService
and use a custom provider to inject it.
// for example:
class MyContextService extends ClsService<MyStore> {}
const myContextService = new MyContextService(new AsyncLocalStorage());
// [...]
providers: [
{
provide: MyContextService,
useValue: myContextService,
},
];
FAQs
A continuation-local storage module compatible with NestJS's dependency injection.
The npm package nestjs-cls receives a total of 190,908 weekly downloads. As such, nestjs-cls popularity was classified as popular.
We found that nestjs-cls demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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