Request Tracer - Express & Koa middlewares and Fastify & Hapi plugins for CLS-based request id generation, batteries included. An out-of-the-box solution for adding request ids into your logs. Check out this blog post that describes the rationale behind cls-rtracer
.
Automatically generates a UUID V1 value as the id for each request and stores it in AsyncLocalStorage
(CLS core API, see this blog post). Optionally, if the request contains X-Request-Id
header, uses its value instead. Allows to obtain the generated request id anywhere in your routes later and use it for logging or any other purposes.
Tested and works fine with Express v4, Fastify v2 and v3, Koa v1 and v2, and Hapi v18.
As cls-rtracer
v2 depends on AsyncLocalStorage API
, it requires Node.js 12.17.0+, 13.14.0+, or 14.0.0+. If you happen to use an older Node.js version, you should use cls-rtracer
v1 which is based on cls-hooked
.
Install:
npm install --save cls-rtracer
Note for TypeScript users: typings are included.
Use the middleware (or plugin) provided by the library before the first middleware that needs to have access to request ids. Note that some middlewares, may cause CLS context (i.e. Async Hooks execution path) to get lost. To avoid such issues, you should use any third party middleware that does not need access to request ids before you use this middleware. See issue #20 as an example.
Use the middleware provided by the library:
const express = require('express')
const rTracer = require('cls-rtracer')
const app = express()
// any third party middleware that does not need access to request ids goes here
// ...
app.use(rTracer.expressMiddleware())
// optionally, you can override default middleware config:
// app.use(rTracer.expressMiddleware({
// useHeader: true,
// headerName: 'X-Your-Request-Header'
// }))
// all code in middlewares, starting from here, has access to request ids
Obtain request id in middlewares on the incoming request:
// an example middleware for a generic find entity endpoint
app.get('/api/v1/entity/{id}', (req, res, next) => {
entityService.find(req.params.id)
.then((entity) => {
// you can obtain the request id here
const requestId = rTracer.id()
console.log(`requestId: ${requestId}`)
res.json(entity)
})
.catch(next)
})
You can access the same request id from code that does not have access to the Express' req
object.
// an imaginary entity-service.js
async function find (entityId) {
// you can obtain the request id here
const requestId = rTracer.id()
// ...
}
Use the plugin provided by the library:
const fastify = require('fastify')()
const rTracer = require('cls-rtracer')
// any third party plugin that does not need access to request ids goes here
// ...
fastify.register(rTracer.fastifyPlugin)
// optionally, you can override default plugin config:
// fastify.register(rTracer.fastifyPlugin, {
// useHeader: true,
// headerName: 'X-Your-Request-Header'
// }))
// all code in plugins or handlers, starting from here, has access to request ids
Obtain request id in handlers on the incoming request:
// an example handler for a generic find entity endpoint
// router config is skipped for the sake of simplicity
app.get('/test', async (request, reply) => {
const entity = await entityService.find(request.params.id)
// you can obtain the request id here
const requestId = rTracer.id()
console.log(`requestId: ${requestId}`)
reply.send(entity)
})
You can access the same request id from code that does not have access to the Fastify's request
object.
// an imaginary entity-service.js
async function find (entityId) {
// you can obtain the request id here
const requestId = rTracer.id()
// ...
}
There is a connect-style middleware available for Fastify v2, but it is deprecated and may be removed in one of upcoming releases. If you happen to use it in your application, you should migrate to the Fastify plugin.
fastify.use(rTracer.fastifyMiddleware())
Use the middleware provided by the library:
const Koa = require('koa')
const rTracer = require('cls-rtracer')
const app = new Koa()
// any third party middleware that does not need access to request ids goes here
// ...
app.use(rTracer.koaMiddleware())
// optionally, you can override default middleware config:
// app.use(rTracer.koaMiddleware({
// useHeader: true,
// headerName: 'X-Your-Request-Header'
// }))
// all code in middlewares, starting from here, has access to request ids
Obtain request id in middlewares on the incoming request:
// an example middleware for a generic find entity endpoint
// router config is skipped for the sake of simplicity
app.use(async (ctx) => {
const entity = await entityService.find(req.params.id)
// you can obtain the request id here
const requestId = rTracer.id()
console.log(`requestId: ${requestId}`)
ctx.body = entity
})
You can access the same request id from code that does not have access to the Koa's ctx
object.
// an imaginary entity-service.js
async function find (entityId) {
// you can obtain the request id here
const requestId = rTracer.id()
// ...
}
For Koa v1 use the koaV1Middleware(options)
function.
Use the plugin provided by the library:
const Hapi = require('@hapi/hapi')
const rTracer = require('cls-rtracer')
const init = async () => {
const server = Hapi.server({
port: 3000,
host: 'localhost'
})
// any third party plugin that does not need access to request ids goes here
// ...
await server.register({
plugin: rTracer.hapiPlugin
})
// optionally, you can override default middleware config:
// await server.register({
// plugin: rTracer.hapiPlugin,
// options: {
// useHeader: true,
// headerName: 'X-Your-Request-Header'
// }
// })
// all code in routes, starting from here, has access to request ids
}
init()
Obtain request id in route handlers on the incoming request:
// an example route for a generic find entity endpoint
server.route({
method: 'GET',
path: '/test',
handler: async (request, h) => {
const entity = await entityService.find(request.params.id)
// you can obtain the request id here
const requestId = rTracer.id()
console.log(`requestId: ${requestId}`)
return entity
}
})
You can access the same request id from code that does not have access to the Hapi's request
object.
// an imaginary entity-service.js
async function find (entityId) {
// you can obtain the request id here
const requestId = rTracer.id()
// ...
}
The main use case for this library is request id generation and logging automation. You can integrate with any logger library in a single place and get request ids in logs across your application.
Without having request id, as a correlation value, in your logs, you will not be able to determine which log entries belong to code that handles the same request. You could generate request ids manually and store them in the Express' req
object (or Fastify's request
, or Koa's ctx
), but then you will have to explicitly pass the object into all other modules on the route. And that's when cls-rtracer
comes to the rescue!
Complete samples for Express, Fastify and Koa are available in /samples/
directory.
Here is how you can integrate cls-rtracer
with winston, one of most popular logging libraries.
const { createLogger, format, transports } = require('winston')
const { combine, timestamp, printf } = format
// a custom format that outputs request id
const rTracerFormat = printf((info) => {
const rid = rTracer.id()
return rid
? `${info.timestamp} [request-id:${rid}]: ${info.message}`
: `${info.timestamp}: ${info.message}`
})
const logger = createLogger({
format: combine(
timestamp(),
rTracerFormat
),
transports: [new transports.Console()]
})
This is how you can integrate cls-rtracer
with pino logger.
// mixin function adds properties of the returned object to the logged JSON.
const logger = require('pino')({
mixin () {
return { requestId: rTracer.id() }
}
})
These are the available config options for the middleware/plugin functions. All config entries are optional.
{
// Add request id to response header (default: false).
// If set to true, the middleware/plugin will add request id to the specified
// header. Use headerName option to specify header name.
echoHeader: false,
// Respect request header flag (default: false).
// If set to true, the middleware/plugin will always use a value from
// the specified header (if the value is present).
useHeader: false,
// Request/response header name, case insensitive (default: 'X-Request-Id').
// Used if useHeader/echoHeader is set to true.
headerName: 'X-Request-Id',
// A custom function to generate your request ids (default: UUID v1).
// The function will receive the intercepted request (as-is from the framework
// being used) as its first argument. The returned id could be a usual string,
// or a number, or any custom object, like in the example below.
// Ignored if useHeader is set to true.
requestIdFactory: (req) => ({
id: 'Your request id',
customHeader: req.headers['X-Custom-Header']
}),
// Use request id generated by Fastify instead of generating a new id.
// Only available for the Fastify plugin.
useFastifyRequestId: false,
}
In certain situations you may want to have an id available outside of the request handler scope, say, in a code that acts as a background job. In this case you may use the runWithId()
function:
const rTracer = require('cls-rtracer')
rTracer.runWithId(() => {
console.log(rTracer.id()) // id is available here
setInterval(() => {
console.log(rTracer.id()) // and here
}, 1000)
})
// you may override id by providing the 2nd argument
rTracer.runWithId(() => {
// ...
}, 42) // 42 is the id override here
// async/await syntax is also supported, as `runWithId()`
// returns the result of `fn`
await rTracer.runWithId(myAsyncFn)
To avoid weird behavior:
cls-rtracer
. See this section.Note: there is a small chance that you are using one of rare libraries that do not play nice with Async Hooks API. So, if you face the issue when the context (and thus, the request id) is lost at some point of async calls chain, please submit GitHub issue with a detailed description.
Note that this library has a certain performance impact on your application due to Async Hooks API usage. So, you need to decide if the benefit of being able to trace requests in logs without any boilerplate is more valuable for you than the disadvantage of performance impact.
The author of this library did some basic performance testing. See this tweet to see the results. The overhead also decreased in cls-rtracer
v2 due to migration to the core API. See this tweet to learn more.
Licensed under MIT.
本文向大家介绍 CTS、CLS、CLR分别作何解释?相关面试题,主要包含被问及 CTS、CLS、CLR分别作何解释?时的应答技巧和注意事项,需要的朋友参考一下 答: CTS:通用语言系统。 CLS:通用语言规范。 CLR:公共语言运行库。
本文向大家介绍CTS、CLS、CLR分别作何解释(*)把英文全称背过来。相关面试题,主要包含被问及CTS、CLS、CLR分别作何解释(*)把英文全称背过来。时的应答技巧和注意事项,需要的朋友参考一下 CTS:Common Type System 通用类型系统。Int32、Int16→int、String→string、Boolean→bool。每种语言都定义了自己的类型,.Net通过CTS提供了公
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