Writing Modules for mod_perl
The subroutine we just created might seem trivial, but it demonstrates the fact that we can easily modify the behavior of our web server simply by writing a Perl subroutine. Moreover, since subroutines can contain just about any sort of Perl code, we have at our disposal all of the Perl modules, operators, functions and regular expressions that would be available to a stand-alone program.
Indeed, our “handler” routine is simply an entry point to what can be a large, complex program with other subroutines. Since Perl*Handler modules have access to Apache at every stage of operation, we can modify anything using Perl. A growing library of modules that do many common tasks is available, so that you can spend time on the particulars of your problem, rather than reinventing the wheel.
Let's write another PerlHandler module, but this time let's have it do something other than return its own output. Just for fun, we will have it turn headlines in a file into Pig Latin. (In Pig Latin, the first letter of each word is moved to the end of the word, and “ay” is tacked on to the end.)
We will call our PerlHandler module Apache::PigLatin, which means we will create a module named PigLatin.pm and put it into the Apache module subdirectory. The source code is shown in Listing 2.
We install our module with a Directory section in httpd.conf:
<Directory /usr/local/apache/share/htdocs/stuff> SetHandler perl-script PerlHandler Apache::PigLatin </Directory>
Make sure the directive points to an actual directory in your Apache document tree.
The module introduces several new ideas, but nothing revolutionary. For starters, we import the constants OK, DECLINED and NOT_FOUND. As we indicated earlier, we will use OK to indicate that our PerlHandler did something, and DECLINED to indicate that Apache should apply some other behavior. We will use DECLINED to ensure our PerlHandler works on HTML-formatted text by checking $r->content_type. If the MIME type is “text/html”, we will operate on the file. If it is a JPEG image, we will refrain from translating it into Pig Latin, returning DECLINED.
Next, we attempt to open the file from $r->filename. This particular module is being used as a simple PerlHandler, so we can be sure the translation from URL to a file name on the file system has been performed. This translation takes place in the TransHandler stage, which we can modify by writing a PerlTransHandler, rather than a simple PerlHandler. While it has translated the URL into a file name on our system, Apache has not checked to see if the file exists—that is our job. If we cannot open the file, we will assume it does not exist, returning the symbol NOT_FOUND.
Now things get interesting: we grab the contents of the file and perform a substitution on headlines—that is, anything between <H\d> and </H\d>, where \d is a built-in character class matching any digit.
We use .*? to match all characters rather than a simple .*, so as to turn off the “greedy” feature in Perl's regular expressions. If we were to say .* rather than .*?, we would match all characters between the first <H\d> and the final </H\d>, rather than between the first pair, the second pair, and so forth. Greediness is usually a good thing when working with regular expressions, but can be frustrating under these circumstances.
We use four options in our substitution, using evaluation (/e), case-insensitivity (/i), global operation (/g) and the . regexp character to match \n (/s). This allows us to perform the substitution in one fell swoop, as well as catch any headlines that might begin on one line and continue on the next one.
Inside the substitution we invoke pl_sent, which is a subroutine defined within our module. This subroutine is not invoked directly from mod_perl, but is there to assist our “handler” routine in doing its work.
What's more, pl_sent invokes another subroutine, piglatin_word, which translates words into Pig Latin. If we were interested in creating a large web application based on mod_perl, you can see how it would be possible to do so, creating a number of subroutines and accessing them from within “handler”. C programmers might think of “handler” as the mod_perl equivalent of “main”, the subroutine invoked by default. Once in that routine, you can do just about anything you wish.
The pl_sent routine is interesting if you have never stacked split, map and join before. We split $sentence into its constituent words across \s+, which represents one or more whitespace characters. We then operate on each element of the resulting list with map, running piglatin_word on each word. Finally, we piece together the sentence in the end, using join to add a single space between each word. The result is returned to the calling s/// operator, which inserts the translated text in between the headline tags.
It is a much tougher problem to handle paragraphs, partly because people often forget to surround paragraphs with <P> and </P>, relying on the fact that browsers will forgive them if they simply say <P>. In addition, paragraphs contain punctuation which makes a good Pig Latin translator harder to write.
There is no limit to the kind of filters you can write. Perhaps the most interesting and advanced are those that use Perl's eval operator to evaluate little pieces of Perl code inside HTML files. A number of these already exist, such as Embperl (discussed several months ago) and EPerl. More simply, you can ensure that every file on your system has a uniform header and footer, removing the need for server-side includes at the top and bottom of each file.
Today’s modular x86 servers are compute-centric, designed as a least common denominator to support a wide range of IT workloads. Those generic, virtualized IT workloads have much different resource optimization requirements than hyperscale and cloud applications. They have resulted in a “one size fits all” enterprise IT architecture that is not optimized for a specific set of IT workloads, and especially not emerging hyperscale workloads, such as web applications, big data, and object storage. In this report, you will learn how shifting the focus from traditional compute-centric IT architectures to an innovative disaggregated fabric-based architecture can optimize and scale your data center.
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
| 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 |
| Trying to Tame the Tablet | May 08, 2013 |
- Using Salt Stack and Vagrant for Drupal Development
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- New Products
- Validate an E-Mail Address with PHP, the Right Way
- Drupal Is a Framework: Why Everyone Needs to Understand This
- A Topic for Discussion - Open Source Feature-Richness?
- The Pari Package On Linux
- New Products
- Home, My Backup Data Center
- New Products
Enter to Win an Adafruit Prototyping Pi Plate 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 Prototyping Pi Plate 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
- Next winner announced on 5-21-13!
Free Webinar: Linux Backup and Recovery
Most companies incorporate backup procedures for critical data, which can be restored quickly if a loss occurs. However, fewer companies are prepared for catastrophic system failures, in which they lose all data, the entire operating system, applications, settings, patches and more, reducing their system(s) to “bare metal.” After all, before data can be restored to a system, there must be a system to restore it to.
In this one hour webinar, learn how to enhance your existing backup strategies for better disaster recovery preparedness using Storix System Backup Administrator (SBAdmin), a highly flexible bare-metal recovery solution for UNIX and Linux systems.




3 hours 57 min ago
9 hours 36 min ago
15 hours 35 min ago
15 hours 58 min ago
16 hours 8 min ago
16 hours 12 min ago
16 hours 42 min ago
19 hours 34 min ago
20 hours 9 min ago
20 hours 10 min ago