Doubly Linked Lists and the Abstract Data Type
This last group has only one function in that it returns version information, so a program can determine if it is linking to a different version and check for any incompatibilities.
The short answer is it is used for just about any type of data storage where you don't know how much data is to be stored. One example that I've been working with is 3D graphics data where there could be an unknown number of objects in a scene. I've written bar code scanning software that uses this DLL to keep track of all the hand-held terminals that are in use. I also worked on a database conversion program that reads data into one linked list, allowing you to edit it; it then converts the data to another linked list and writes it out again.
I'll mainly concentrate on compiling the Linux version; however, there are two Makefiles for DOS: one that compiles using the DJGPP GNU compiler and the other for the MS6.0 compiler. All three Makefiles are included in the distribution. If anyone is interested, there is also a slightly modified version of the DLL that compiles on Big Blues 4690 OS (FlexOS) using the Metaware C compiler (this OS is used in point-of-sale systems).
First, we need to use tar to extract the files into the directory where you want it to reside.
tar -xvzf linklist.1.0.0.tar.gz -C /your/path
The tar file will create a directory named linklist and put everything in it. Next, use cd to move to the linklist directory and type one of the following, assuming you're using the GNU compiler:
makecreates a shared library, or
make staticcreates a static library.
To install the library in the /usr/local/lib directory, enter either make install or make install-static.
That's all there is to it. You're now ready to write some code.
The concept of the ADT is at the core of object-oriented programming and, as mentioned previously, central to cross- platform development. My linked list example should be of use as either a practical or a learning tool.
Carl J. Nobile currently writes point of sale software and is the administrator of an AIX Unix system for Genovese Drug Stores in New York. At home he is working on a program that can be used to design geodesic homes using ideas from Buckminster Fuller's Synergetics. He can be reached electronically at email@example.com.
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
Join Linux Journal's Mike Diehl and Pat Cameron of Help Systems.
Free to Linux Journal readers.Register Now!
- Google's SwiftShader Released
- SUSE LLC's SUSE Manager
- My +1 Sword of Productivity
- Managing Linux Using Puppet
- Murat Yener and Onur Dundar's Expert Android Studio (Wrox)
- Interview with Patrick Volkerding
- Non-Linux FOSS: Caffeine!
- SuperTuxKart 0.9.2 Released
- Tech Tip: Really Simple HTTP Server with Python
- Parsing an RSS News Feed with a Bash Script
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide