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Enterprise Application Development with Ext JS and Spring

You're reading from   Enterprise Application Development with Ext JS and Spring Designed for intermediate developers, this superb tutorial will lead you step by step through the process of developing enterprise web applications combining two leading-edge frameworks. Take a big leap forward in easy stages.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781783285457
Length 446 pages
Edition 1st Edition
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Author (1):
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Gerald Gierer Gerald Gierer
Author Profile Icon Gerald Gierer
Gerald Gierer
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Toc

Table of Contents (16) Chapters Close

Preface 1. Preparing Your Development Environment FREE CHAPTER 2. The Task Time Tracker Database 3. Reverse Engineering the Domain Layer with JPA 4. Data Access Made Easy 5. Testing the DAO Layer with Spring and JUnit 6. Back to Business – The Service Layer 7. The Web Request Handling Layer 8. Running 3T on GlassFish 9. Getting Started with Ext JS 4 10. Logging On and Maintaining Users 11. Building the Task Log User Interface 12. 3T Administration Made Easy 13. Moving Your Application to Production A. Introducing Spring Data JPA
Index

Dynamically loading tree nodes

Enterprise applications usually have data sets that prohibit the loading of the full tree in a single JSON request. Large trees can be configured to load children on a per node basis by expanding levels on demand. A few minor changes to our code can allow us to implement this dynamic loading of node children.

When a node is expanded, the tree store proxy submits a request that contains a node parameter with the ID of the node being expanded. The URL submitted is that which is configured in the proxy. We will change our tree store proxy as follows:

proxy: {
  type: 'ajax',
  url: 'company/treenode.json'
}

Note that the URL of the proxy has been changed to treenode. This mapping, when implemented in CompanyHandler, will load one level at a time. The first request submitted by the proxy to load the top level of the tree will have the following format:

company/treenode.json?node=root

This will return the root node's list of companies:

{
   ...
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