Book Image

Learning Ext JS

By : Colin Ramsay, Shea Frederick, Steve 'Cutter' Blades
Book Image

Learning Ext JS

By: Colin Ramsay, Shea Frederick, Steve 'Cutter' Blades

Overview of this book

<p>As more and more of our work is done through a web browser, and more businesses build web rather than desktop applications, users want web applications that look and feel like desktop applications. Ext JS is a JavaScript library that makes it (relatively) easy to create desktop-style user interfaces in a web application, including multiple windows, toolbars, drop-down menus, dialog boxes, and much more. Both Commercial and Open Source licenses are available for Ext JS.<br /><br />Ext JS has the unique advantage of being the only client-side UI library that also works as an application development library. Learning Ext JS will help you create rich, dynamic, and AJAX-enabled web applications that look good and perform beyond the expectations of your users.<br /><br />From the building blocks of the application layout, to complex dynamic Grids and Forms, this book will guide you through the basics of using Ext JS, giving you the knowledge required to create rich user experiences beyond typical web interfaces. It will also provide you with the tools you need to use AJAX, by consuming server-side data directly into the many interfaces of the Ext JS component library.</p>
Table of Contents (16 chapters)
15
Index

Getting what you want: Filtering data

Sometimes, you only need a specific subset of data from your Store. Your Store contains a complete dataset (for caching and easy retrieval), but you need it filtered to a specific set of Records. As an example, the cfdirectory tag we used in our ColdFusion server-side call can return an entire directory listing, including all subdirectories. After retrieving the data, it may be that we only need the names of the files within the startPath that we posted. For this, we can filter our client-side cached dataset to get only the Records of type, File:

ourStore.filter('TYPE','File',false,false);

This filters our dataset using the TYPE field. The dataset will now only contain Records that have a TYPE field, with a value of File (matched from the beginning, and case-insensitive).

After working with our filtered dataset, there will come a time when we want our original dataset back. When we filtered the dataset, the other Records didn&apos...