First of all, I recommend reading the old series if you're not familiar with this project. If you don't want to read all of that, no worries! I got you covered!

Now that that's out of the way, let us begin.

Last year I started implementing Nexus.js, a multi-threaded server-side JavaScript run-time based on WebKit/JavaScriptCore. I dropped it for a while, due to circumstances out of my control that I'm not going to discuss here, but here we are again: I couldn't keep myself from working on it for long.

So let us start by discussing the architecture of Nexus and how things work:

Nexus.js Runtime

Event Loop

There is no event loop.

There is a thread-pool with a (lock-free) task queue.

Every time you call setTimeout or setImmediate or create a promise, a task is queued to the task queue.

or or create a promise, a task is queued to the task queue. Every time a task is scheduled, the first available thread will pick the task and execute it.

Promises resolve on all CPU cores. A call to Promise.all() will resolve the promises in parallel.

ES6

async / await is supported, and encouraged.

/ is supported, and encouraged. for await(...) is supported.

is supported. Destructuring is supported.

async try/catch/finally is supported.

Modules

CommonJS is not supported. ( require(...) and module.exports )

and ) All modules use the ES6 import/export syntax.

syntax. Dynamic importing is possible through import('file-or-package').then(...) .

. import.meta is supported. For example: import.meta.filename and import.meta.dirname to name a few.

is supported. For example: and to name a few. Bonus feature: you can import URLs directly from the source code.

Example:



import { h } from ' https://unpkg.com/preact/dist/preact.esm.js ' ;

EventEmitter

Nexus implements a promise-based EventEmitter class.

Event handlers will be queued on all threads, and will execute in parallel.

The result of EventEmitter.emit(...) is a promise that will resolve to an array of all values returned by the event handlers.

Example:



class EmitterTest extends Nexus . EventEmitter { constructor () { super (); for ( let i = 0 ; i < 4 ; i ++ ) this . on ( ' test ' , value => { console . log ( `fired test ${ i } !` ); console . inspect ( value ); }); for ( let i = 0 ; i < 4 ; i ++ ) this . on ( ' returns-a-value ' , v => ` ${ v + i } ` ); } } const test = new EmitterTest (); async function start () { await test . emit ( ' test ' , { payload : ' test 1 ' }); console . log ( ' first test done! ' ); await test . emit ( ' test ' , { payload : ' test 2 ' }); console . log ( ' second test done! ' ); const values = await test . emit ( ' returns-a-value ' , 10 ); console . log ( ' third test done, returned values are: ' ); console . inspect ( values ); } start (). catch ( console . error );

All input/output is done through three primitives: the Device, the Filter and the Stream.

All input/output primitives implement the EventEmitter class.

class. To use a device, you construct a ReadableStream or WritableStream on top of it.

or on top of it. To manipulate data, you add filters to your ReadableStream or WritableStream .

or . Lastly, you use source.pipe(...destinationStreams) and then await source.resume() to process the data.

and then to process the data. All input/output operations are done using ArrayBuffer objects.

objects. Filters implement process(buffer) to handle the data.

Example: (Converts UTF8 to UTF16 with 4 separate outputs files)



async function start () { const startTime = Date . now (); try { const device = new Nexus . IO . FilePushDevice ( ' enwik8 ' ); const stream = new Nexus . IO . ReadableStream ( device ); stream . pushFilter ( new Nexus . IO . EncodingConversionFilter ( " UTF-8 " , " UTF-16LE " )); const wstreams = [ 0 , 1 , 2 , 3 ] . map ( i => new Nexus . IO . WritableStream ( new Nexus . IO . FileSinkDevice ( ' enwik16- ' + i ))); console . log ( ' piping... ' ); stream . pipe (... wstreams ); console . log ( ' streaming... ' ); await stream . resume (); await stream . close (); await Promise . all ( wstreams . map ( stream => stream . close ())); console . log ( `finished in ${( Date . now () * startTime ) / 1000 } seconds!` ); } catch ( e ) { console . error ( ' An error occurred: ' , e ); } } start (). catch ( console . error );

Nexus.js provides an Acceptor class, responsible for binding addresses/ports and listening for connections.

class, responsible for binding addresses/ports and listening for connections. Every time a connection is received, the connection event is fired and provided with a Socket device.

event is fired and provided with a device. Each Socket instance is a bidirectional I/O device.

instance is a bidirectional I/O device. You may use ReadableStream and WritableStream to manipulate the Socket .

Very basic example: (Writes 'Hello world!' to clients)



const acceptor = new Nexus . Net . TCP . Acceptor (); let count = 0 ; acceptor . on ( ' connection ' , ( socket , endpoint ) => { const connId = count ++ ; console . log ( `connection # ${ connId } from ${ endpoint . address } : ${ endpoint . port } ` ); const rstream = new Nexus . IO . ReadableStream ( socket ); const wstream = new Nexus . IO . WritableStream ( socket ); const buffer = new Uint8Array ( 13 ); const message = ' Hello World!

' ; for ( let i = 0 ; i < 13 ; i ++ ) buffer [ i ] = message . charCodeAt ( i ); rstream . pushFilter ( new Nexus . IO . UTF8StringFilter ()); rstream . on ( ' data ' , buffer => console . log ( `got message: ${ buffer } ` )); rstream . resume (). catch ( e => console . log ( `client # ${ connId } at ${ endpoint . address } : ${ endpoint . port } disconnected!` )); console . log ( `sending greeting to # ${ connId } !` ); wstream . write ( buffer ); }); acceptor . bind ( ' 127.0.0.1 ' , 10000 ); acceptor . listen (); console . log ( ' server ready ' );

HTTP

Nexus provides a Nexus.Net.HTTP.Server class that essentially inherits TCPAcceptor .

class that essentially inherits . Same basic interface.

When the server finishes parsing/validating the basic HTTP headers of an incoming connection, the connection event is fired with the connection and peer information.

event is fired with the connection and peer information. Every Connection instance has a request and a response . Those are input/output devices.

instance has a and a . Those are input/output devices. You may construct ReadableStream and WritableStream to manipulate the request/response.

and to manipulate the request/response. If you pipe to a Response object, the streams enter chunked-encoding mode. Otherwise, you may use response.write() to write a regular string payload.

Complex example: (Baseline HTTP server with Chunked encoding, details omitted)



.... /** * Creates an input stream from a path. * @param path * @returns {Promise<ReadableStream>} */ async function createInputStream ( path ) { if ( path . startsWith ( ' / ' )) // If it starts with '/', omit it. path = path . substr ( 1 ); if ( path . startsWith ( ' . ' )) // If it starts with '.', reject it. throw new NotFoundError ( path ); if ( path === ' / ' || ! path ) // If it's empty, set to index.html. path = ' index.html ' ; /** * `import.meta.dirname` and `import.meta.filename` replace the old CommonJS `__dirname` and `__filename`. */ const filePath = Nexus . FileSystem . join ( import . meta . dirname , ' server_root ' , path ); try { // Stat the target path. const { type } = await Nexus . FileSystem . stat ( filePath ); if ( type === Nexus . FileSystem . FileType . Directory ) // If it's a directory, return its 'index.html' return createInputStream ( Nexus . FileSystem . join ( filePath , ' index.html ' )); else if ( type === Nexus . FileSystem . FileType . Unknown || type === Nexus . FileSystem . FileType . NotFound ) // If it's not found, throw NotFound. throw new NotFoundError ( path ); } catch ( e ) { if ( e . code ) throw e ; throw new NotFoundError ( path ); } try { // First, we create a device. const fileDevice = new Nexus . IO . FilePushDevice ( filePath ); // Then we return a new ReadableStream created using our source device. return new Nexus . IO . ReadableStream ( fileDevice ); } catch ( e ) { throw new InternalServerError ( e . message ); } } /** * Connections counter. */ let connections = 0 ; /** * Create a new HTTP server. * @type {Nexus.Net.HTTP.Server} */ const server = new Nexus . Net . HTTP . Server (); // A server error means an error occurred while the server was listening to connections. // We can mostly ignore such errors, we display them anyway. server . on ( ' error ' , e => { console . error ( FgRed + Bright + ' Server Error: ' + e . message + '

' + e . stack , Reset ); }); /** * Listen to connections. */ server . on ( ' connection ' , async ( connection , peer ) => { // Start with a connection ID of 0, increment with every new connection. const connId = connections ++ ; // Record the start time for this connection. const startTime = Date . now (); // Destructuring is supported, why not use it? const { request , response } = connection ; // Parse the URL parts. const { path } = parseURL ( request . url ); // Here we'll store any errors that occur during the connection. const errors = []; // inStream is our ReadableStream file source, outStream is our response (device) wrapped in a WritableStream. let inStream , outStream ; try { // Log the request. console . log ( `> # ${ FgCyan + connId + Reset } ${ Bright + peer . address } : ${ peer . port + Reset } ${ FgGreen + request . method + Reset } " ${ FgYellow }${ path }${ Reset } "` , Reset ); // Set the 'Server' header. response . set ( ' Server ' , `nexus.js/0.1.1` ); // Create our input stream. inStream = await createInputStream ( path ); // Create our output stream. outStream = new Nexus . IO . WritableStream ( response ); // Hook all `error` events, add any errors to our `errors` array. inStream . on ( ' error ' , e => { errors . push ( e ); }); request . on ( ' error ' , e => { errors . push ( e ); }); response . on ( ' error ' , e => { errors . push ( e ); }); outStream . on ( ' error ' , e => { errors . push ( e ); }); // Set content type and request status. response . set ( ' Content-Type ' , mimeType ( path )) . status ( 200 ); // Hook input to output(s). const disconnect = inStream . pipe ( outStream ); try { // Resume our file stream, this causes the stream to switch to HTTP chunked encoding. // This will return a promise that will only resolve after the last byte (HTTP chunk) is written. await inStream . resume (); } catch ( e ) { // Capture any errors that happen during the streaming. errors . push ( e ); } // Disconnect all the callbacks created by `.pipe()`. return disconnect (); } catch ( e ) { // If an error occurred, push it to the array. errors . push ( e ); // Set the content type, status, and write a basic message. response . set ( ' Content-Type ' , ' text/plain ' ) . status ( e . code || 500 ) . send ( e . message || ' An error has occurred. ' ); } finally { // Close the streams manually. This is important because we may run out of file handles otherwise. if ( inStream ) await inStream . close (); if ( outStream ) await outStream . close (); // Close the connection, has no real effect with keep-alive connections. await connection . close (); // Grab the response's status. let status = response . status (); // Determine what colour to output to the terminal. const statusColors = { ' 200 ' : Bright + FgGreen , // Green for 200 (OK), ' 404 ' : Bright + FgYellow , // Yellow for 404 (Not Found) ' 500 ' : Bright + FgRed // Red for 500 (Internal Server Error) }; let statusColor = statusColors [ status ]; if ( statusColor ) status = statusColor + status + Reset ; // Log the connection (and time to complete) to the console. console . log ( `< # ${ FgCyan + connId + Reset } ${ Bright + peer . address } : ${ peer . port + Reset } ${ FgGreen + request . method + Reset } " ${ FgYellow }${ path }${ Reset } " ${ status } ${( Date . now () * startTime )} ms` + ( errors . length ? " " + FgRed + Bright + errors . map ( error => error . message ). join ( ' , ' ) + Reset : Reset )); } }); /** * IP and port to listen on. */ const ip = ' 0.0.0.0 ' , port = 3000 ; /** * Whether or not to set the `reuse` flag. (optional, default=false) */ const portReuse = true ; /** * Maximum allowed concurrent connections. Default is 128 on my system. (optional, system specific) * @type {number} */ const maxConcurrentConnections = 1000 ; /** * Bind the selected address and port. */ server . bind ( ip , port , portReuse ); /** * Start listening to requests. */ server . listen ( maxConcurrentConnections ); /** * Happy streaming! */ console . log ( FgGreen + `Nexus.js HTTP server listening at ${ ip } : ${ port } ` + Reset );

Benchmark

I think I've covered almost everything I've implemented so far. So now, let's talk about performance.

Here's the current benchmark for the above HTTP server, with 100 concurrent connections and a total of 10,000 requests:



This is ApacheBench, Version 2.3 <$Revision: 1796539 $> Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/ Licensed to The Apache Software Foundation, http://www.apache.org/ Benchmarking localhost (be patient).....done Server Software: nexus.js/0.1.1 Server Hostname: localhost Server Port: 3000 Document Path: / Document Length: 8673 bytes Concurrency Level: 100 Time taken for tests: 9.991 seconds Complete requests: 10000 Failed requests: 0 Total transferred: 87880000 bytes HTML transferred: 86730000 bytes Requests per second: 1000.94 [#/sec] (mean) Time per request: 99.906 [ms] (mean) Time per request: 0.999 [ms] (mean, across all concurrent requests) Transfer rate: 8590.14 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 0 0 0.1 0 1 Processing: 6 99 36.6 84 464 Waiting: 5 99 36.4 84 463 Total: 6 100 36.6 84 464 Percentage of the requests served within a certain time (ms) 50% 84 66% 97 75% 105 80% 112 90% 134 95% 188 98% 233 99% 238 100% 464 (longest request)

That's 1,000 requests per second! On an old i7 that's running both the benchmark software, an IDE consuming 5GB of RAM, and the server itself!



voodooattack@voodooattack:~$ cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 60 model name : Intel(R) Core(TM) i7-4770 CPU @ 3.40GHz stepping : 3 microcode : 0x22 cpu MHz : 3392.093 cache size : 8192 KB physical id : 0 siblings : 8 core id : 0 cpu cores : 4 apicid : 0 initial apicid : 0 fpu : yes fpu_exception : yes cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm cpuid_fault tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt dtherm ida arat pln pts bugs : bogomips : 6784.18 clflush size : 64 cache_alignment : 64 address sizes : 39 bits physical, 48 bits virtual power management:

And here are the results in graph form:

I tried testing with 1,000 concurrent requests, but ApacheBench times out due to that many sockets being open. I tried httperf and here are the results:



voodooattack@voodooattack:~$ httperf --port=3000 --num-conns=10000 --rate=1000 httperf --client=0/1 --server=localhost --port=3000 --uri=/ --rate=1000 --send-buffer=4096 --recv-buffer=16384 --num-conns=10000 --num-calls=1 httperf: warning: open file limit > FD_SETSIZE; limiting max. # of open files to FD_SETSIZE Maximum connect burst length: 262 Total: connections 9779 requests 9779 replies 9779 test-duration 10.029 s Connection rate: 975.1 conn/s (1.0 ms/conn, <=1022 concurrent connections) Connection time [ms]: min 0.5 avg 337.9 max 7191.8 median 79.5 stddev 848.1 Connection time [ms]: connect 207.3 Connection length [replies/conn]: 1.000 Request rate: 975.1 req/s (1.0 ms/req) Request size [B]: 62.0 Reply rate [replies/s]: min 903.5 avg 974.6 max 1045.7 stddev 100.5 (2 samples) Reply time [ms]: response 129.5 transfer 1.1 Reply size [B]: header 89.0 content 8660.0 footer 2.0 (total 8751.0) Reply status: 1xx=0 2xx=9779 3xx=0 4xx=0 5xx=0 CPU time [s]: user 0.35 system 9.67 (user 3.5% system 96.4% total 99.9%) Net I/O: 8389.9 KB/s (68.7*10^6 bps) Errors: total 221 client-timo 0 socket-timo 0 connrefused 0 connreset 0 Errors: fd-unavail 221 addrunavail 0 ftab-full 0 other 0

As you can see, it still works; albeit with some connections timing out due to the stress. I'm still working on figuring out what's causing this issue.

The source code to the project is available at GitHub, feel free to check it out.

Happy hacking, and until next time!

Edit:

Here is a pre-alpha release in case you wish to do your own benchmarking. Please note that this was only tested on two machines, both were running Ubuntu 17.10:

https://github.com/voodooattack/nexusjs/releases/tag/4dd3419