The Perl Debugger
This article is a tutorial about the Perl5 source debugger and assumes that the reader has written at least one or more simple Perl programs. It is best read in front of a computer, following along with a copy of the code, available at Linux Journal's FTP site (see Resources). The version of Perl that I use is perl5.004_1, which comes with the Perl debugger level 1. I've noticed some subtle differences between this and earlier versions of the debugger. If something discussed here doesn't work for you, consider upgrading.
The Perl programming language is being used increasingly on the World Wide Web as the back end to Common Gateway Interface (CGI) forms and interactive web pages, as well as for automated scripts for maintaining web sites and Unix servers in general. As a result, more and more users are beginning to learn Perl.
Conceptually, a debugger is a tool which allows the programmer a greater degree of control over the execution of the program without having to physically insert code that provides this control. A debugger allows the programmer to step through the program code, line by line if necessary. It allows peeks into the contents of the variables of the program, as well as into the stack, which is basically the list of functions (known as subroutines in Perl parlance) that have been called in order to get from the the main part of the program to the current point of execution.
There are many different debuggers. Some, such as dbx or gdb, are separate programs that can be used to debug programs written in languages such as C, C++, Modula-2 or FORTRAN. (gdb, for instance, can handle C, C++ and Modula-2, according to its man page, which on my system dates from 1991, so by now it may cover FORTRAN.) Programming environments from Borland, Microsoft and others may have debugging capabilities built into their windowing environment.
Invoking the Perl debugger is as easy as invoking Perl itself. All one needs to do is provide the -d option when invoking the Perl interpreter, like this:
perl -d perlscript.pl
Perl has also been ported to Win32 systems and can be invoked similarly. If your system supports the #! syntax for scripts, you can have this as the first line of your Perl script (assuming you keep the Perl interpreter in /usr/bin):
#!/usr/bin/perl -d
This option isn't supported under Win32 systems (that I know of), but there are ways to simulate it. See the appropriate documentation.
The Perl debugger can also run under Emacs, creating an integrated programming environment that is similar to products from Borland or others.
Generally, when using a program written in Perl, you are invoking the program with the Perl interpreter. A Perl compiler is on the horizon, but will not be directly covered by this article. (The most logical way to debug code intended for the Perl compiler is to use the standard debugger until the code is “bug free”, then compile it.)
Under normal conditions, the Perl interpreter will read in the Perl script and will do a certain amount of compilation, turning your Perl code into some highly-optimized instructions, which are then interpreted. When using the debugger, extra Perl code is inserted into your code before it is handed off to the interpreter. Also, a library file, called in current releases perl5db.pl, is required in your Perl script. This final script is interpreted, resulting in the program running in the debugging environment.
When programming in Perl, you should probably always use the warning flag. Use this just as you would use the debug flag, as follows:
perl -w
When you are getting strange results from your program, you should definitely use the warning flag. The warning flag causes Perl to issue warnings regarding your code. These warnings are about things which are not fatal, but may cause problems. You can view the warnings as critiques of your coding style. Common warnings are those indicating that a certain variable has been used only once (perhaps a typo), or that a used package can't be found (maybe the package is not available on your system or is installed incorrectly).
Perl doesn't make you specify function prototypes and allows you to create variables at any point, so you don't have the advantages of type checking, although, with Perl 5 you can optionally have type checking for subroutines.
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.
Sponsored by AMD
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.
Sponsored by DLT Solutions
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
| Non-Linux FOSS: Seashore | May 10, 2013 |
- RSS Feeds
- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
- New Products
- A Topic for Discussion - Open Source Feature-Richness?
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Validate an E-Mail Address with PHP, the Right Way
- What's the tweeting protocol?
- Readers' Choice Awards
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?




2 hours 52 min ago
6 hours 28 min ago
7 hours 56 sec ago
9 hours 24 min ago
9 hours 27 min ago
9 hours 29 min ago
13 hours 53 min ago
15 hours 44 min ago
20 hours 58 min ago
1 day 9 min ago