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We define three stopwatches: for the window.onload event and for each mouse listener process. We assign meaningful names to the stopwatches, as these will be used by the report that we generate. Let s load the modified application, then, and give it a quick spin. When we mouse over the mousemat as before, our profiler is busy collecting data, which we can examine at any point by clicking the profile link in the top left. Figure 8.2 shows the application in the browser after a few hundred mouse moves, with the profiler report showing. On both Firefox and Internet Explorer browsers we can see that in this case, the write status method takes less than one quarter the time of the draw thumbnail method. Note that the window.onload event appears to have executed in 0 ms, owing to the limited granularity of the JavaScript Date object. With this profiling system, we re working entirely within the JavaScript interpreter, with all of the limitations that apply there. Mozilla browsers can take advantage of a native profiler built into the browser. Let s look at that next.
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Figure 8.2 Mousemat example from chapter 4 with the JavaScript profiler running and generating a report on the active stopwatches. We have chosen to profile the window.onload event, the drawing of the thumbnail cursor in response to mouse movement, and the updating of the status bar with the mouse coordinates. count indicates the number of recordings made of each code block, and total the time spent in that block of code.
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8.2.2 Using the Venkman profiler
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The Mozilla family of browsers enjoys a rich set of plug-in extensions. One of the older, more established ones is the Venkman debugger, which can be used to step through JavaScript code line by line. We discuss Venkman s debugging features in appendix A. For now, though, let s look at one of its lesser-known capabilities, as a code profiler. To profile code in Venkman, simply open the page that you re interested in, and then open the debugger from the browser s Tools menu. (This assumes that you have the Venkman extension installed. If you don t yet, see appendix A.) On the toolbar there is a clock button labeled Profile (figure 8.3). Clicking this button adds a green tick to the icon. Venkman is now meticulously recording all that goes on in the JavaScript engine of your browser, so drag the mouse around the mousemat area for a few seconds, and then click the Profile button in the debugger again to stop profiling. From the debugger Window menu, select the Profile > Save Profile Data As option. Data can be saved in a number of formats, including CSV (for spreadsheets), an HTML report, or an XML file.
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Figure 8.3 Venkman debugger for Mozilla with the Profile button checked, indicating that time spent executing all loaded scripts (as shown in the panel on the top left) is being recorded.
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Figure 8.4 Fragment of the HTML profile report generated by Venkman showing the number of calls and total, minimum, maximum, and average time for each method that listens to the mouse movements over the mousemat DOM element in our example page.
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Unfortunately, Venkman tends to generate rather too much data and lists various chrome:// URLs first. These are internal parts of the browser or plug-ins that are implemented in JavaScript, and we can ignore them. In addition to the main methods of the HTML page, all functions in all JavaScript libraries that we are using including the stopwatch.js profiler that we developed in the previous section have been recorded. Figure 8.4 shows the relevant section of the HTML report for the main HTML page. Venkman generates results that broadly agree with the timings of our own stopwatch object rewriting the status bar takes roughly one third as long as updating the thumbnail element. Venkman is a useful profiling tool and it can generate a lot of data without us having to modify our code at all. If you need to profile code running across different browsers, then our stopwatch library can help you out. In the following section, we ll look at a few example pieces of code that demonstrate some refactorings that can be applied to code to help speed it up. We ll make use of our stopwatch library to measure the benefits.
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