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High Performance JavaScript

Cover of High Performance JavaScript by Nicholas C. Zakas Published by O'Reilly Media, Inc.
  1. High Performance JavaScript
    1. SPECIAL OFFER: Upgrade this ebook with O’Reilly
    2. Preface
      1. The Internet Evolves
      2. Why Optimization Is Necessary
      3. Next-Generation JavaScript Engines
      4. Performance Is Still a Concern
      5. How This Book Is Organized
      6. JavaScript Loading
      7. Coding Technique
      8. Deployment
      9. Testing
      10. Who This Book Is For
      11. Conventions Used in This Book
      12. Using Code Examples
      13. Safari® Books Online
      14. How to Contact Us
      15. Acknowledgments
    3. 1. Loading and Execution
      1. Script Positioning
      2. Grouping Scripts
      3. Nonblocking Scripts
      4. Summary
    4. 2. Data Access
      1. Managing Scope
      2. Object Members
      3. Summary
    5. 3. DOM Scripting
      1. DOM in the Browser World
      2. DOM Access and Modification
      3. Repaints and Reflows
      4. Event Delegation
      5. Summary
    6. 4. Algorithms and Flow Control
      1. Loops
      2. Conditionals
      3. Recursion
      4. Summary
    7. 5. Strings and Regular Expressions
      1. String Concatenation
      2. Regular Expression Optimization
      3. String Trimming
      4. Summary
    8. 6. Responsive Interfaces
      1. The Browser UI Thread
      2. Yielding with Timers
      3. Web Workers
      4. Summary
    9. 7. Ajax
      1. Data Transmission
      2. Data Formats
      3. Ajax Performance Guidelines
      4. Summary
    10. 8. Programming Practices
      1. Avoid Double Evaluation
      2. Use Object/Array Literals
      3. Don’t Repeat Work
      4. Use the Fast Parts
      5. Summary
    11. 9. Building and Deploying High-Performance JavaScript Applications
      1. Apache Ant
      2. Combining JavaScript Files
      3. Preprocessing JavaScript Files
      4. JavaScript Minification
      5. Buildtime Versus Runtime Build Processes
      6. JavaScript Compression
      7. Caching JavaScript Files
      8. Working Around Caching Issues
      9. Using a Content Delivery Network
      10. Deploying JavaScript Resources
      11. Agile JavaScript Build Process
      12. Summary
    12. 10. Tools
      1. JavaScript Profiling
      2. YUI Profiler
      3. Anonymous Functions
      4. Firebug
      5. Internet Explorer Developer Tools
      6. Safari Web Inspector
      7. Chrome Developer Tools
      8. Script Blocking
      9. Page Speed
      10. Fiddler
      11. YSlow
      12. dynaTrace Ajax Edition
      13. Summary
    13. Index
    14. About the Author
    15. Colophon
    16. SPECIAL OFFER: Upgrade this ebook with O’Reilly
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DOM Access and Modification

Simply accessing a DOM element comes at a price—the “toll fee” discussed earlier. Modifying elements is even more expensive because it often causes the browser to recalculate changes in the page geometry.

Naturally, the worst case of accessing or modifying elements is when you do it in loops, and especially in loops over HTML collections.

Just to give you an idea of the scale of the problems with DOM scripting, consider this simple example:

function innerHTMLLoop() {
    for (var count = 0; count < 15000; count++) {
        document.getElementById('here').innerHTML += 'a';

This is a function that updates the contents of a page element in a loop. The problem with this code is that for every loop iteration, the element is accessed twice: once to read the value of the innerHTML property and once to write it.

A more efficient version of this function would use a local variable to store the updated contents and then write the value only once at the end of the loop:

function innerHTMLLoop2() {
    var content = '';
    for (var count = 0; count < 15000; count++) {
        content += 'a';
    document.getElementById('here').innerHTML += content;

This new version of the function will run much faster across all browsers. Figure 3-1 shows the results of measuring the time improvement in different browsers. The y-axis in the figure (as with all the figures in this chapter) shows execution time improvement, i.e., how much faster it is to use one approach versus another. In this case, for example, ...

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