Home/ Questions/Q 7991289
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Asked: 2026-06-04T13:14:52+00:00

— I built a simple app that pulls in data (50 items) from a

  • 0

— I built a simple app that pulls in data (50 items) from a Redis DB and throws it up at localhost. I did an ApacheBench (c = 100, n = 50000) and I’m getting a semi-decent 150 requests/sec on a dual-core T2080 @ 1.73GHz (my 6 y.o laptop), but the proc usage is very disappointing as shown:
enter image description here

Only one core is used, which is as per design in Node, but I think I can nearly double my requests/sec to ~300, maybe even more, if I can use Node.js clusters. I fiddled around quite a bit but I haven’t been able to figure out how to put the code given here for use with my app which is listed below:

var 
    express = require( 'express' ),
    app     = express.createServer(),
    redis   = require( 'redis' ).createClient();

app.configure( function() {
    app.set( 'view options', { layout: false } );
    app.set( 'view engine', 'jade' );
    app.set( 'views', __dirname + '/views' );
    app.use( express.bodyParser() );
} );

function log( what ) { console.log( what ); }

app.get( '/', function( req, res ) {
    redis.lrange( 'items', 0, 50, function( err, items ) {
            if( err ) { log( err ); } else {
                res.render( 'index', { items: items } );
            }
    });
});

app.listen( 8080 );

I also want to emphasize that the app is I/O intensive (not CPU-intensive, which would’ve made something like threads-a-gogo a better choice than clusters).

Would love some help in figuring this out.

Share

Leave an answer

You must login to add an answer.

Need An Account,

1 Answer

  1. Editorial Team

    Actually, your workload is not really I/O bound: it is CPU bound due to the cost of jade-based dynamic page generation. I cannot guess the complexity of your jade template, but even with simple templates, generating HTML pages is expensive.

    For my tests I used this template:

    html(lang="en")
  head
    title Example
  body
    h1 Jade - node template engine
    #container
      ul#users
        each user in items
          li User:#{user}

    I added 100 dummy strings to the items key in Redis.

    On my box, I get 475 req/s with node.js CPU at 100% (which means 50% CPU consumption on this dual core box). Let’s replace:

    res.render( 'index', { items: items } );

    by:

    res.send( '<html lang="en"><head><title>Example</title></head><body><h1>Jade - node template engine</h1><div id="container"><ul id="users"><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li><li>User:NOTHING</li></ul></div></body></html>' );

    Now, the result of the benchmark is close to 2700 req/s. So the bottleneck is clearly due to the formatting of the HTML page.

    Using the cluster package in this situation is a good idea, and it is straightforward. The code can be modified as follows:

    var cluster = require('cluster')

if ( cluster.isMaster ) {
  for ( var i=0; i<2; ++i )
    cluster.fork();
} else {
  var
      express = require( 'express' ),
      app     = express.createServer(),
      redis   = require( 'redis' ).createClient();

  app.configure( function() {
      app.set( 'view options', { layout: false } );
      app.set( 'view engine', 'jade' );
      app.set( 'views', __dirname + '/views' );
      app.use( express.bodyParser() );
  });

  function log( what ) { console.log( what ); }

  app.get( '/', function( req, res ) {
      redis.lrange( 'items', 0, 50, function( err, items ) {
            if( err ) { log( err ); } else {
              res.render( 'index', { items: items } );
            }
      });
  });

  app.listen( 8080 );
}

    Now the result of the benchmark is close to 750 req/s with 100 % CPU consumption (to be compared with the initial 475 req/s).

    • 0