Home ›

A Template-Based Approach to XML Parsing in C++

Issue 110

From Issue #110
June 2003

May 31, 2003  By John Dubchak
 in
Using the Xerces library and a little C++ code, you can parse an XML file to get only the information you need as easy-to-handle objects.
______________________

Comments

Comment viewing options

Select your preferred way to display the comments and click "Save settings" to activate your changes.

Sample Code

Anonymous's picture
Submitted by Anonymous (not verified) on Sun, 10/18/2009 - 12:49.

Hey this code doesn't work. Missing XMLCommand.h. Please provide the same.
Regards

code with out using in built functions

ravi's picture
Submitted by ravi (not verified) on Thu, 01/15/2009 - 07:44.

xml parsing program
without using in built functions

Hi, I can't make the code

Anonymous's picture
Submitted by Anonymous (not verified) on Wed, 03/05/2008 - 05:07.

Hi,
I can't make the code compile..
One file is missing: XMLCommand.h.
can you supply it?

thanks,

XMLCommand.h

Gunjan's picture
Submitted by Gunjan (not verified) on Mon, 11/05/2007 - 08:22.

Hi John,

Can you please share the XMLCommand.h?

-Gunjan

sample code

pierreG's picture
Submitted by pierreG (not verified) on Fri, 04/20/2007 - 06:28.

Hi,
sounds interesting, but I can't make the code compile..
One file is missing: XMLCommand.h.
can you supply it?

thanks,

pierre

Webcast
More Resources
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers

Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.

Learn More

Sponsored by AMD

White Paper
More Resources
Red Hat White Paper: Using an Open Source Framework to Catch the Bad Guy

Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6

Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.

Learn more about catching the bad guy in this free white paper.

Learn More

Sponsored by DLT Solutions