Ajax Bestiary: A Javascript Field Guide
 
Ajax Bestiary: A Javascript Field Guide
 
 

Loopy Optimizations

Posted by Dave Mahon

We all know that code optimization is important, especially when processing large quantities of data. It is also common knowledge that adding layers of code to loops reduces performance. Except this maxim doesn’t always hold when it comes to JavaScript in browsers and even native methods can vary wildly in performance. In fact, in almost all cases, Underscore, jQuery and YUI outperformed any of the native methods. Interestingly, the newest implementation for native looping, forEach, consistently trumped a traditional for (var i = 0; i < 2500; i++) loop.

I set up a testing framework that looped through a normal array instantiated like so:

var data = [];
var v = {}; //This value doesn't seem to affect performance at the data size I chose
 
for (var i = 0; i &lt; loops; i++) { //loops is defined elsewhere
   data.push(v);
}

I looped through this array using the following methods:

  • for loop
  • for … in … loop
  • forEach loop (not supported in IE9 Quirks Mode)
  • Prototype 1.7: Enumerable.each
  • jQuery 1.7.1: $.each
  • Underscore 1.2.3: _.each
  • YUI 3.1.4: YUI.each

Each loop was passed the value of the array element and returned immediately, like so:

//From the native for and for ... in ... tests
(function(el){return;})(data[i]);

I eventually settled upon an array of 2500 elements and running the test 200 times to collect a reasonable number of samples. These numbers were not chosen arbitrarily. Prototype would time out on Firefox at 5000 array elements and Safari seemed to have wildly varying results on each run of the suite with fewer than 200 samples. With 200 samples, the variance in mean time between runs became a few hundredths of a millisecond, not enough to be of consequence. Disturbingly, while Prototype froze the browser with 5000 array elements and 100 samples, it had no issue with 2500 elements and 200 samples. Even so, with some tests averaging less than a hundredth of a millisecond, we will soon require much larger data sets to get meaningful results at all, which may preclude the inclusion of Prototype (and even native methods!) in future tests.

All tests were run in a freshly launched browser on an updated operating system (either MacOS 10.7.2 or Windows 7 Home Premium) running on a MacBook Pro with a 2.53GHz Intel Core 2 Duo processor and 4GB of 1067MHz DDR3 RAM. Firefox had all add-ons disabled and Internet Explorer had the Developer Tools open (to switch between Standards and Quirks mode).

So let’s look at some charts!

Mac safari
This was certainly an interesting start to the process. YUI, Underscore and jQuery all clocked in at 0.005 ms. Prototype would prove to be faster than native methods, with the exception of forEach, on all browsers. Underscore was only be outperformed on IE 9 (32-bit, Standards Mode).

Mac chrome
Chrome was exceptional as well, with the traditional for loop actually running slower than for ... in .... This behavior was also seen on Chrome for Windows and Safari for Windows.

Since all of the major browsers are clearly pre-optimized for these libraries (as they themselves wrap the native looping language structures), let’s look at just the libraries:
Loop run times, by library
Here we can begin to see that Prototype really is behind its peers in loop performance. While we are talking fractions of a millisecond, our apps are growing larger by the day and this could become a serious issue.

Run times of non-prototypical libraries by browser
Hey! It looks like Firefox really is slow. Curiously, IE 9 is significantly faster, which flies in the face of most generalized JavaScript performance metrics.

Still, something looks odd about IE:
Run times by library and version of Internet Explorer 9
Your mileage varies wildly depending on whether you choose standards or quirks mode, and not always in obvious ways. In general, 64-bit is faster, but only marginally, and most people are not using it. (You have to explicitly launch it, as it is not the default, even on 64-bit Windows). Meanwhile, quirks mode apparently embeds some performance hacks. As a note to benchmark developers, this should be evidence enough that not all IE’s are the same and we need to start breaking down by rendering mode and compilation.

So far, we’ve seen the average times and most browsers are quite acceptable. What are the worst case scenarios?

Platform

Browser

Method

Max (ms)

Mean (ms)

Windows 7

IE 9.0.8112.16421 (64-bit IE 9 Quirks)

for

93

5.29

Windows 7

IE 9.0.8112.16421 (32-bit IE 9 Standards)

forEach

81

4.04

Windows 7

IE 9.0.8112.16421 (64-bit IE 9 Quirks)

for in

81

6.27

Windows 7

IE 9.0.8112.16421 (32-bit IE 9 Standards)

for in

76

9.87

Windows 7

IE 9.0.8112.16421 (64-bit IE 9 Standards)

for in

71

4.89

Windows 7

IE 9.0.8112.16421 (32-bit IE 9 Quirks)

for in

67

5.995

MacOS 10.7.2

Firefox 9.0.1

for in

55

1.885

Windows 7

Firefox 9.01

for in

52

6.055

Windows 7

IE 9.0.8112.16421 (32-bit IE 9 Quirks)

for

49

4.66

Windows 7

IE 9.0.8112.16421 (64-bit IE 9 Standards)

for

48

4.76

Windows 7

IE 9.0.8112.16421 (32-bit IE 9 Standards)

for

39

7.845

Windows 7

Chrome 16.0.912.75 m

for in

30

1.13

Windows 7

Chrome 16.0.912.75 m

for

26

1.315

MacOS 10.7.2

Chrome 16.0.912.75

for

23

1.175

MacOS 10.7.2

Chrome 16.0.912.75

for in

22

1.085

MacOS 10.7.2

Safari 5.1.2

for in

16

1

Windows 7

Firefox 9.01

jQuery

6

0.185

MacOS 10.7.2

Safari 5.1.2

for

5

0.52

MacOS 10.7.2

Firefox 9.0.1

for

5

0.7

Those averages hid some extreme variations within Internet Explorer. Fortunately, most of these are found using native language structures, which we know better than to use.

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4 Comments

  • Can we haz teh code? I have a question: is it sane to define a function within the for loop? maybe this is the reason for the slowness of the native loop?

  • How is it possible that in the first graph the libraries outperform the native for loops if they wrap them somehow?????

  • Disturbing, isn’t it? It implies that browsers are optimizing for common libraries, which doesn’t seem unreasonable. Since underscore doesn’t seem quite as predominate as jQuery and YUI, but has similar performance, while Prototype came in slower, I’m assuming the engines recognized a similar basic code pattern and used an internal optimized implementation of it, which surely helps with benchmarks!

  • I’ll post the code I used to GitHub, along with the full results. As for the function within the loop, I didn’t check the differences between using a previously defined function and an in-line function. It was frankly outside the scope of this project. That said, before I tested Prototype and native structures, I was running 50 thousand loops instead of 2500 to get meaningful results. Even with this data, with 200 samples at values of either 0 or 1, I don’t put too much stock in values like 0.005 ms as meaning anything more than fast!