The Wow Factor

One thing that I find Perl to be lacking is a “wow” factor. Something so easy and awesome that within 5 minutes you’re sold on it. I was reminded of these after starting a side project with Ruby on Rails and Heroku.

This is my 3rd foray into Rails. I briefly worked on the initial version of OrgSync in 2007 with Rails 1.2. I came back to do a small website (since switched to WordPress) in 2009 using Rails 2.3. Now I’m back on the train in 2011 with 3.0.7. Every time I’ve ventured in I’ve come out deeply impressed and this time it is even more so because of Heroku. I went from never having read anything about it to having an app up and running in hours. And a lot of that time was spent just browsing their documentation. I could have done it in 15 minutes. The pain of Rails hosting I experienced in the past is simply gone. And it is free to get started. Everything about the process is designed to minimize the amount of friction a new user experiences, all the way from creating a Rails app, creating some scaffolds, and installing it on Heroku.

Maybe Stackato or DotCloud can provide some “wow” for Perl. Until then I’m pretty stoked to be riding the Rails again.

Perl From The Outside

I’ve been a Perl developer for almost 6 months now, so I thought it would be good to step back and document what the community looks like to an outsider. Before moving to Perl I worked professionally with C# as my primary language for 3+ years, so I have a bit of a different background compared to the average Perl monger. I also have varying amounts of experience with JavaScript, Python, Scala, Ruby, Java, and C/C++. Keep that in mind. You’re journey to Perl has probably been different then mine. Also keep in mind that this is what the community looks like to an outsider, not what it actually is.

People Still Write Web Sites in Perl?

If you’re heavily invested in Perl and the surrounding community, I probably already angered you with that statement. Unfortunately, that is the prevailing view of amongst my developer friends. Most of them use C# as their primary language on the job, but have also used VB6, Java, C++, JavaScript, Python, and PHP (and probably more I don’t know about) at some point in their professional career. It was also the first thought I had when I saw a job posting for a Perl web developer. I had been looking for two months and that was the first one I could remember coming across. I didn’t match the requirements, but it was local and I knew I could learn a language quickly. I didn’t know any C# before my first job. Why not go into my second not knowing any Perl?

One rebuttal to the “nobody writes web sites in Perl” argument among Perl mongers is that pigeon holing the use of the language to only how prevalent they are in web programming is unfair. I sympathize with them, but that doesn’t change the fact that the perception of a language among young developers is almost entirely driven by its adoption (and the visiblity of that adoption) on the web. Currently, when a fresh graduate enters the workforce most job postings are very web-centric. The hobby projects most students have usually involve games or web programming, two areas where Perl has struggled to gain traction.

The Learning Process

Back to my learning process, I got an interview and afterwards drove straight to the library to pick up Programming Perl (the camel book). I didn’t know anything about Perl, but I knew the camel book was the de facto guide. Unfortunately, the camel book hasn’t been updated since 2000, but outside the Perl community it is really the only book anybody is familiar with. Combined with the lack of new Perl books in general and their absence from bookstore shelves, this is a big contributor to Perl appearing dead to an outsider. I have heard rumors that an update is on the way, but I couldn’t find any confirmation on O’Reilly’s website.

So, beyond the camel book, what other resources does a newbie come across? Coming from C#, StackOverflow had become my standard reference for any .NET question. The site is written in .NET and the team behind it is well known in the .NET community. Unfortunately, the Perl community hasn’t been as enthusiastic in its embrace of StackOverflow. There are several good reasons for this, most having to do with the community already having established mailing lists and the prior existence of PerlMonks. For the outside developer though who already uses StackOverflow as a standard reference for a multitude of languages and tools, the dearth of Perl questions gives the impression of little use. A quick glance at the StackOverflow tags page lets us see that there are ~17x more questions tagged with C# then Perl. Is C# usage really 17x greater than Perl? Probably not, but the initial perception it gives is not good.


Perl has embraced the motto “there’s more than way to do it” since it’s beginnings and in many ways the philosophy has served it well. The language itself is very extensible and that extensibility has encouraged many developers to have the hubris to think “I can do X better”. This philosophy has given us diversity in things like OO frameworks, where you are free to choose from several excellent choices depending on your needs. However, it also creates a sense of chaos and the lack of any sort of ranking system on CPAN makes it difficult to know which modules to actually use. The worst example I have seen with this is error handling.

Perl predates the widespread adoption of exceptions as the de facto way to handle errors and many developers have stepped forward with modules to fill this void. The problem for the Perl newbie is that there is no easy way to determine which one to use. The fact that such a fundamental, and in other languages simple, question is complicated by so many choices is overwhelming when learning the language. A newbie is confronted with at least the following choices:

There is no easy way for someone just learning Perl to choose between them. The first result from Google for the search “perl error handling” is an article from 2002 for the now deprecated Error module. It’s a shame that such a concept that is so easy to pick up in other languages can be so frustrating to a new Perl monger. I ended up just using the built-in handling, which felt (and continues to feel) clunky compared to the ease of exception management I was used to.

They Can’t Even Ship a New Version!

At some early point in my learning process I started hearing about Perl 6, a subject that seems to cause confusion even within the Perl community. Unsurprisingly, this confusion is magnified for newbies. I now know that Perl 6 is to be treated as an entirely separate language, but outsiders do not know this. To them the decade long (and still going) process to create a production quality implementation seems like a joke. When an outsider sees the names “Perl 5” and “Perl 6”, the completly natural assumption is that “Perl 6” is the next version of Perl. And the natural conclusion after seeing that Perl 6 was announced over a decade ago and has very little adoption, is that Perl is a dead language. I have read that Larry has spoken the final word on this issue, but that doesn’t mean it was the correct word. It just means the issue has been closed for debate. The name Perl 6 will continue to hurt the perception of the community from the outside.

Beating the Java Strawman

Most developer communities have a favorite whipping boy. Perl (like many) has chosen Java, but seems to have thrown the baby out with the bath water by vilifying everything associated with Java as well. Now, I’m not here to defend Java. The language has serious warts (crippled generics anybody?) and the late 90’s “enterprise” framework rush crippled the Java community in ways it is still struggling to break away from. But I found the wholesale rejection of everything associated with Java distasteful in many ways. First, it felt childish, but more importantly it has left the community behind the curve in many ways, most notably in object oriented architecture and standard design patterns. As a developer with a strong background in these areas this was a bit of shock. My fears were at least partially eased when I discovered Moose, but overall the Perl community comes off as too cavalier in its dismissal of these ideas.

On a related note, yes, I know that many important OO design principles did not originate in the Java community, but it’s status as the dominant enterprise language at the time the internet took off put it in a unique position to be a test bed for many design ideas on large projects as businesses rushed to retool their infrastructure.. Consequently, most influential architecture and design books released in that time period generally assume Java.

Shaking Things Up

At this point, outside developers have little interest in learning Perl. Any exciting new developments tend not to break out of the Perl echo chamber. For example, the fact that Perl now has several nice OO framework implementations is nice, but doesn’t attract any new Perl developers (although it does seem to have brought some old Perl developers back into the fold).

Looking in from the outside, I see two possibilities for attracting widespread interest in Perl again. One is widespread adoption of Perl 6. It doesn’t really matter if anything is gained technically from this. As I stated above it would remove the specter of decay that surrounds the community. The buzz from some notable adoption of Perl 6 could be the push some developers need to take a look at Perl. In a similar fashion, for the lack of a better comparison, Perl needs it’s killer app/framework. The best example of this in the past decade has been Ruby on Rails. Ruby is a very nice language, but Rails gave it the momentum it needed. I, and many others, would never have given it a chance without Rails. I have no idea what this project would be for Perl, but it wouldn’t hurt to take chromatic’s recent advice and brag about interesting Perl projects.


Overall, my journey to Perl has been worthwhile. I had been concerned about being typecast as a .NET programmer and getting stuck in Microsoft-land for my entire career. Being able to program in multiple paradigms (static vs. dynamic in this case) has certainly made me a better programmer and expanded how I approach certain problems. Plus, it confirmed to me that I can learn and become productive in a new language in a very short period.

However, the problems with the perception of the Perl community aren’t going away and at this point it is probably too much to hope that they ever will. The community itself is too fragmented and pulled in too many different directions to expand it’s core niche as a text processing language. Perl certainly isn’t dead and does seem to be gaining some momentum internally, but none of this has reached the outside world. Until it does the community will not grow in any significant way


After much gnashing of teeth, I got Games::Tetravex working earlier this week. This a Perl implementation of tetravex using SDL and MooseX::Declare. As my first foray into both SDL and Moose, as well as the first game programming I have done since college, I thought it would be useful to lay out my impressions.


I’m pretty ignorant when it comes to graphics libraries. I did a little bit of game design in college in Java, but nothing with any depth. My crowning achievement was a half-working, four player, networked pong that I wrote in a two night code flurry. Then we got our grade and I never looked at the code again. With such little experience my first task was locating some tutorials. Luckily, I stumbled on SDL_Manual which, while not great, gave me enough of a primer to get started.

As far as actually using SDL for Games::Tetravex, it was pretty easy. It required me to start thinking in terms of (x, y) coordinates again, but, armed with some scrap paper, I was able plot out most of my canvas fairly quickly. It’s by no means pretty, but it does the job. I was quite happy with the SDLx::App and SDLx::Controller wrapper modules, as these made writing the actual game loop a piece cake. It becomes as simple as creating the app, registering some event callbacks, and calling run. Very nice.



To me, Moose is what gives Perl a future. Without a full featured OO framework it will be difficult to attract young developers to the language and Moose delivers the goods. My usage in this project is primitive, but I still came away with a good impression. I started the project as just one big script until I got a handle on what exactly I wanted to do. At that point I started refactoring using MooseX::Declare and was very pleased with the final result. In truth, the use of MooseX::Declare was complete overkill for a project of this size, but I figured I might as well jump into the deep end of the pool and see what happens.

It wasn’t all fun though. The big issue is the stack traces MooseX::Declare returns whenever you have some sort of parse error. They’re awful. Very rarely did they give any information about where the parse failed. I had to resort to commenting out large blocks of code until the program would run again. That was the only pain point I ran into, but it was a doozy. I’m sure there is useful information buried in there, but a stack trace of over a hundred lines with no useful summary is a problem.

To Do

There is still a lot left to do. The big one is that you can only play a 3×3 grid. After that it needs a lot of spit and polish, such as

  • timers
  • configuration
  • top times
  • better piece swapping animations
  • improved graphics

and a bunch more I’m forgetting right now. We’ll see how much I actually get to before my eye starts wandering to some new piece of shiny I want to learn.

Code available on github at–Tetravex.

From C# To Perl: Performance


Let’s talk about the performance of C# vs. Perl. First, let me just say that a performance comparison of a staticly-typed, pre-compiled language vs. a dynamically-typed, scripting language is inherently unfair. Yes, .NET does not compile to native code, but the comparison is still unfair. A static, type-safe language avoids the overhead of compilation on startup and allows for more optimization, particularly removing virtual calls when not needed.


With that being said, how much faster is C# in benchmarks? My usual source when comparing the performance of programming languages is the The Computer Language Benchmarks Game. Here you can see the comparison of C# vs. Perl. One thing to note is that I am comparing the performance of the Mono implementation of C# vs. Perl, not the Microsoft .NET implementation. The performance of Mono is comparable to that of .NET these days and the benchmark game runs the benchmarks on Ubuntu, so I’m just going to run with it. Also, while small benchmarks have severe limitations, they will serve the purpose here.

We can see three metrics in the comparison: time, memory, and code size. Various benchmarks stress each differently, but the trends are clear. First, C# is a hell of a lot faster than Perl. As I stated above, this shouldn’t surprise anybody.

The more interesting comparisons are memory and code. We can see that Mono uses 13x more memory on the mandelbrot benchmark, but is anywhere from even to 3x more on every other. It also requires up to 5x more code than Perl. You can see the source code for the benchmarks that required much more code in C# below.

k-nucleotide: C# Perl
reverse-complement: C# Perl

You can see that the code for the k-nucelotide benchmark is much more concise in Perl. The verboseness of C# in this case hinders the ablity to quickly understand the algorithm. The same is true for reverse-complement, though not quite as bad, with Perl’s concise file-handling operations being the main difference.

You can also see the same comparison made on a quad-core 32-bit machine. The same trend holds and you can also see that Mono makes better use of multiple cores. Unfortunately, benchmarks are not available for Perl on 64-bit processors.

Does It Matter

So what? C# is faster. How often does it really matter? If you aren’t doing heavy number crunching, it probably doesn’t. These days performance is often limited by outside factors, such as network latency or database performance. But let’s say you have identified a bottleneck in your code and it is definitely your code that is the bottleneck. How would you go about improving performance in each language?

You have similar options for both languages. In C# you can link to native code (usually a compiled C/C++ binary) or you can declare your code to be unsafe to get direct access to pointers. Either way, it’s going to introduce some pain. Integrating C# with native code always made me feel dirty and I usually ended up putting a wrapper class around it to hide the ugliness. Declaring your code to be unsafe isn’t much better. Most of its speed benefits come from getting the runtime out of the way, meaning you lose most of the benefits of C# over C/C++.

Perl gives you a few options that are mostly equivalent to those in C#. First, you can inline C code with the Inline module. This is admittedly pretty sweet for simple cases. You don’t have to use C, but if you are doing it for performance reasons you probably will. This is great if you have a single performance sensitive algorithm in your module, because, as the name implies, you can do it inline. However, there are limitations to what you can do with this method. If you need to improve the performance of a whole module, you are best served by using XS. This is not for the faint at heart, but will allow you to transparently call C code within Perl.


What we have found is pretty much what was expected. C# is much faster, but uses more memory than Perl and is more verbose. They both have similar options to improve performance by integrating with code written in C, although Perl’s seem slightly more natural to me.

Once again though, does it really matter? Most programmers are not tackling performance sensitive problems and hardware is cheap. If performance does matter, you’re probably better off with C#, but in the grand scheme of things, whatever tools your team is familiar with is the far more important factor.

From C# To Perl: Garbage Collection

I don’t think that it is a stretch to say that every modern language that isn’t built especially for peformance or system programming uses a garbage collector. The programmer productivity gains that you get by lifting the burden of manual memory management can be large. Sure, you lose some control, but most tasks don’t require that level of control. C/C++ is always there if by chance you actually do. With that being said, let’s look at how the Perl and C# garbage collectors compare.

Perl employs a simple reference counting garbage collector. A reference counting garbage collector works exactly as the name implies. It keeps a count of the number of references to a piece of data on the heap. When the number of references to an object reaches zero the collector knows that it can reclaim the data. The major limitation of this algorithm is that it cannot handle circular references because the reference count will never reach zero. Even if your application can no longer access the data, the collector will never reclaim it, leading to a memory leak. Fortunately, circular data structures don’t come up in most applications, but you must be aware when they do. Perl allows you to get around this by weakening a reference. A reference that has been weakened does not increment the reference count for the garbage collector, allowing the it to reclaim circular data structures when used properly.

Coming from C# the simplicity of the Perl garbage collector was a bit of a surprise, because, quite frankly, I find the .NET garbage collector to be amazing. It uses generational collection, allowing for faster collection cycles that get most objects, with periodic longer collections to check older generations. The longer collection cycles use a simple mark and sweep algorithm. There are even different modes depending on if you have a desktop or web application. It also allows you to weaken references, manage non-memory resources with finalizers (although you should be implementing the IDisposable pattern), induce collections, or get notifications when the runtime senses a full garbage collection is approaching. This is a massive topic, but if you want to learn more about .NET garbage collection then you ever wanted to, a good place to start is the blog of Maoni Stephens, who spends her days actually working on it.

Put simply, C# collector puts Perl’s to shame. Unfortunately, the programming language shootout uses the Mono implementation of C#, so a quick comparison against Perl isn’t feasible. Quick benchmarks most likely won’t exercise the generational collector very well anyways. If Perl 6 ever gets around to being ready (I’m not counting on it), Parrot will allow for pluggable garbage collection engines. I would fully expect for something better than the current Perl 5 garbage collector to be an option. For now though, C# has a clear edge.