next-boost
next-boost
adds a cache layer to your SSR (Server-Side Rendering) applications. It was built originally for Next.js
and should work with any node.js http.Server
based application.
next-boost
achieves great performance by rendering webpages on worker_threads
while serving the cached on the main thread.
If you are familiar with Next.js
, next-boost
can be considered as an implementation of Incremental Static Regeneration which works with getServerSideProps
. And it's not meant to be used with getStaticProps
, in which Next.js will do the cache for you.
$ npm install next-boost --save
Features
- Drop-in replacement for Next.js's production mode:
next start
- Greatly reducing the server TTFB (time-to-first-byte)
- Non-blocking main process for cache-serving and using
worker_threads
for SSR - Simultaneous requests with the first one rendered and the rest served from the cache
- Small footprint with less than 200 LOC
- Used in production with 300K pages cached
- As a database-disk-hybrid cache
- no memory capacity limit, and works great on cheap VPSs
- no need to add a cache layer server like varnish, nginx Cache and etc.
- great performance, and may even have better performace than pure file system cache
- portability on major platforms
next-boost
cli with Next.js
Use After install the package, just change the start script from next start
to next-boost
. All next start
's command line arguments, like -p
for specifing the port, are compatible.
"scripts": {
...
"start": "next-boost", // previously `next start`
...
},
Examples
There's an example under examples/nodejs
, which works with a plain http.Server
.
To use it with express.js
and next.js
, please check examples/with-express
.
Performance
By using worker_threads
, the CPU-heavy SSR rendering will not blocking the main process from serving the cache.
Here are the comparision of using ApacheBench
on a blog post fetched from database. HTML prerendered and the db operation takes around 10~20ms. The page takes around 200ms for Next.js to render.
$ /usr/local/bin/ab -n 200 -c 8 http://127.0.0.1:3000/blog/posts/2020/3/postname
Not a scientific benchmark, but the improvements are visibly huge.
with next start
(data fetched with getServerSideProps
):
Document Length: 76424 bytes
Concurrency Level: 8
Time taken for tests: 41.855 seconds
Complete requests: 200
Failed requests: 0
Total transferred: 15325600 bytes
HTML transferred: 15284800 bytes
Requests per second: 4.78 [#/sec] (mean)
Time per request: 1674.185 [ms] (mean)
Time per request: 209.273 [ms] (mean, across all concurrent requests)
Transfer rate: 357.58 [Kbytes/sec] received
with the drop-in next-boost
cli:
Document Length: 78557 bytes
Concurrency Level: 8
Time taken for tests: 0.149 seconds
Complete requests: 200
Failed requests: 0
Total transferred: 15747600 bytes
HTML transferred: 15711400 bytes
Requests per second: 1340.48 [#/sec] (mean)
Time per request: 5.968 [ms] (mean)
Time per request: 0.746 [ms] (mean, across all concurrent requests)
Transfer rate: 103073.16 [Kbytes/sec] received
It even outperforms next.js's static generated page (getStaticProps
), handling 2~2.5x requests per seconds in my environment.
How it works
next-boost
implements a server-side cache in the manner of stale-while-revalidate. When an expired (stale
) page is accessed, the cache will be served and at the same time, a background process will fetch the latest version (revalidate
) of that page and save it to the cache.
The following config will cache URIs matching ^/blog.*
. Only pages match rules
will be handled by next-boost
and there's no exclude
rules.
module.exports = {
rules: [
{ regex: '^/blog.*', ttl: 300 },
],
}
There are 2 parameters to control the behavior of the cache:
-
ttl (time-to-live)
: Afterttl
seconds, the cache will be revalidated. And a cached page'sttl
will be updated when a page is revalidated. -
tbd (time-before-deletion)
: When a page is not hit again inttl + tbd
seconds, it will be completely remove from cache.
Above: only caching pages with URL start with /blog
.
Advanced Usages
Deleting/Revalidating a Single URL
By sending a GET with header x-cache-status:update
to the URL, the cache will be revalidated. And if the page doesn't exists anymore, the cache will be deleted.
curl -H x-cache-status:update https://the_server_name.com/path_a
Batch Deleting/Revalidating
If you want to delete mutiple pages at once, you can run SQL on the cache directly:
sqlite3 /cache_path/cache.db "update cache set ttl=0 where key like '%/url/a%';"
This will force all urls containing /url/a
to be revalidated when next time accessed.
Deleting cache_path
will remove all the caches.
Filtering Query Parameters
By default, each page with different URLs will be cached separately. But in some cases you would like, /path_a?utm_source=twitter
to be served with the same contents of /path_a
. paramFilter
is for filtering the query parameters.
// in .next-boost.js
{
...
paramFilter: (p) => p !== 'utm_source'
}
Changing the cache key
By default, the URL will be used as the key for cached pages. If you want to server pages from different domains or by different user-agent, you can use this function to custom the cache key.
Notes:
- If there's any exception thrown from this function, or the returned value is not a
string
, your server will crash.
// in .next-boost.js
{
...
cacheKey: (req) => (req.headers.host || '') + ':' + req.url
}
All Configurable Options
If available, .next-boost.js
at project root will be used. If you use next-boost programmatically, the filename can be changed in options you passed to CachedHandler
.
tips: If you are using next-boost
cli with Next.js, you may want to use the config file.
And here's an example .next-boost.sample.js
in the repo.
interface HandlerConfig {
filename?: string
quiet?: boolean
cache?: {
ttl?: number
tbd?: number
path?: string
}
rules?: Array<URLCacheRule>
paramFilter?: ParamFilter
cacheKey?: CacheKeyBuilder
}
interface URLCacheRule {
regex: string
ttl: number
}
type ParamFilter = (param: string) => boolean
type CacheKeyBuilder = (req: IncomingMessage) => string
Logging
Logging is enabled by default. If you use next-boost
programmatically, you can disable logs by passing the quiet
boolean flag as an option to CachedHandler
.
...
const cached = await CachedHandler(args, { quiet: true });
...
There's also a --quiet
flag if you are using the command line.
Limitations
- For architecture with multiple load-balanced rendering servers, the benefit of using
next-boost
is limited. Until the url is hit on every backend server, it can still miss the cache. Use reverse proxy with cache support (nginx, varnish etc) for that. -
GET
andHEAD
requests only. -
worker_threads
is used and it is a node.js 12+ feature.
FAQs
Notice about Next.js's custom server
next-boost
works as an in-place replacement for next start
by using Next.js's custom server feature.
On the linked page above, you can see the following notice:
Before deciding to use a custom server please keep in mind that it should only be used when the integrated router of Next.js can't meet your app requirements. A custom server will remove important performance optimizations, like serverless functions and Automatic Static Optimization.
next-boost is meant to be used on cloud VPS or containers, so serverless function is not an issue here. As to Automatic Static Optimization
, because we are not doing any app.render
here, it still works, as perfect as always.
Why SQLite
Here's the article about when not to use SQLite. And for next-boost's main purpuse: super faster SSR on low-cost VPSs, as far as I know, it is the best choice.
License
MIT. Copyright 2020 Rakuraku Jyo.