Book Excerpt: Linux Programming by Example, Part 2
The V7 ls is a relatively small program, yet it touches on many of the fundamental aspects of Unix programming: file I/O, file metadata, directory contents, users and groups, time and date values, sorting and dynamic memory management.
The most notable external difference between V7 ls and modern ls is the treatment of the -a and -l options. The V7 version has many fewer options than do modern versions; a noticeable lack is the -R recursive option.
The management of flist is a clean way to use the limited memory of the PDP-11 architecture yet still provide as much information as possible. The struct lbuf nicely abstracts the information of interest from the struct stat; this simplifies the code considerably. The code for printing the nine permission bits is compact and elegant.
Some parts of ls use surprisingly small limits, such as the upper bound of 1024 on the number of files or the buffer size of 100 in makename().
Arnold Robbins is a professional programmer and technical author. He is the long-time maintainer of gawk, the GNU Project's version of the Awk programming language. He is the author of numerous well-known technical books, such as Linux Programming by Example: The Fundamentals, recently published by Prentice Hall, as well as Unix In A Nutshell, Learning the vi Editor and Effective awk Programming, published by O'Reilly Media Inc. He is happily married with four wonderful children. Arnold is an amateur Talmudist and particularly enjoys studying the Jerusalem Talmud. He can be reached at arnold@skeeve.com.
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.
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Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Free Webinar: Hadoop
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.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?



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