Foreword - Effective awk Programming (2015)

Effective awk Programming (2015)

Foreword

Foreword to the Third Edition

Michael Brennan

Author of mawk

Arnold Robbins and I are good friends. We were introduced in 1990 by circumstances—and our favorite programming language, awk. The circumstances started a couple of years earlier. I was working at a new job and noticed an unplugged Unix computer sitting in the corner. No one knew how to use it, and neither did I. However, a couple of days later, it was running, and I was root and the one-and-only user. That day, I began the transition from statistician to Unix programmer.

On one of many trips to the library or bookstore in search of books on Unix, I found the gray awk book, a.k.a. Alfred V. Aho, Brian W. Kernighan, and Peter J. Weinberger’s The AWK Programming Language (Addison-Wesley, 1988). awk’s simple programming paradigm—find a pattern in the input and then perform an action—often reduced complex or tedious data manipulations to a few lines of code. I was excited to try my hand at programming in awk.

Alas, the awk on my computer was a limited version of the language described in the gray book. I discovered that my computer had “old awk” and the book described “new awk.” I learned that this was typical; the old version refused to step aside or relinquish its name. If a system had a newawk, it was invariably called nawk, and few systems had it. The best way to get a new awk was to ftp the source code for gawk from prep.ai.mit.edu. gawk was a version of new awk written by David Trueman and Arnold, and available under the GNU General Public License.

(Incidentally, it’s no longer difficult to find a new awk. gawk ships with GNU/Linux, and you can download binaries or source code for almost any system; my wife uses gawk on her VMS box.)

My Unix system started out unplugged from the wall; it certainly was not plugged into a network. So, oblivious to the existence of gawk and the Unix community in general, and desiring a new awk, I wrote my own, called mawk. Before I was finished, I knew about gawk, but it was too late to stop, so I eventually posted to a comp.sources newsgroup.

A few days after my posting, I got a friendly email from Arnold introducing himself. He suggested we share design and algorithms and attached a draft of the POSIX standard so that I could update mawk to support language extensions added after publication of The AWK Programming Language.

Frankly, if our roles had been reversed, I would not have been so open and we probably would have never met. I’m glad we did meet. He is an awk expert’s awk expert and a genuinely nice person. Arnold contributes significant amounts of his expertise and time to the Free Software Foundation.

This book is the gawk reference manual, but at its core it is a book about awk programming that will appeal to a wide audience. It is a definitive reference to the awk language as defined by the 1987 Bell Laboratories release and codified in the 1992 POSIX Utilities standard.

On the other hand, the novice awk programmer can study a wealth of practical programs that emphasize the power of awk’s basic idioms: data-driven control flow, pattern matching with regular expressions, and associative arrays. Those looking for something new can try out gawk’s interface to network protocols via special /inet files.

The programs in this book make clear that an awk program is typically much smaller and faster to develop than a counterpart written in C. Consequently, there is often a payoff to prototyping an algorithm or design in awk to get it running quickly and expose problems early. Often, the interpreted performance is adequate and the awk prototype becomes the product.

The new pgawk (profiling gawk) produces program execution counts. I recently experimented with an algorithm that for n lines of input exhibited Cn2 performance, while theory predicted Cn log n behavior. A few minutes poring over the awkprof.out profile pinpointed the problem to a single line of code. pgawk is a welcome addition to my programmer’s toolbox.

Arnold has distilled over a decade of experience writing and using awk programs, and developing gawk, into this book. If you use awk or want to learn how, then read this book.

Foreword to the Fourth Edition

Michael Brennan

Author of mawk

Some things don’t change. Thirteen years ago I wrote: “If you use awk or want to learn how, then read this book.” True then, and still true today.

Learning to use a programming language is about more than mastering the syntax. One needs to acquire an understanding of how to use the features of the language to solve practical programming problems. A focus of this book is many examples that show how to use awk.

Some things do change. Our computers are much faster and have more memory. Consequently, speed and storage inefficiencies of a high-level language matter less. Prototyping in awk and then rewriting in C for performance reasons happens less, because more often the prototype is fast enough.

Of course, there are computing operations that are best done in C or C++. With gawk 4.1 and later, you do not have to choose between writing your program in awk or in C/C++. You can write most of your program in awk and the aspects that require C/C++ capabilities can be written in C/C++, and then the pieces glued together when the gawk module loads the C/C++ module as a dynamic plug-in. Chapter 16 has all the details, and, as expected, many examples to help you learn the ins and outs.

I enjoy programming in awk and had fun (re)reading this book. I think you will, too.