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No Silver Bullet: Reloaded

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I had to read the recent article “Functional Programming Basics”, by Robert Martin, several times to make sure that I wasn’t missing any deeper point, but every time, I just became more and more concerned by the sloppiness of the arguments presented.

Here are a few thoughts.

First, it’s almost certainly true that functional programming is the next big thing.

We’ll see about that. This has been predicted for several decades and it still hasn’t happened. Some say that it will never happen, others say it’s already happened and more moderate people just observe that quite a few core concepts of functional programming have been leaking into mainstream languages for a while, so in some way, functional programming is slowly percolating through the industry.

Functional programming is programming without assignment statements.

This is a pretty silly statement since functional programming languages have assignments. Maybe the emphasis should be more on referential transparency or perhaps “variables can never be assigned more than once” would be a more accurate description of one of the important tenets of functional programming.

Let’s look at a functional program for the squares of integers. We’ll use the language Clojure for this, though the concepts we’re going to explore work the same in any functional language.

(take 25 (squares-of (integers)))

I find the use of Clojure (or more generally, Lisp) to illustrate his points a bit puzzling because while the question of whether functional programming will play a big part in the software industry’s future is still up for debate, it seems pretty clear to me that 1) object orientation and 2) static typing are two concepts that have clearly established themselves as powerhouse ideas that have an established track record and a bright future ahead of them. Scala or Kotlin would have been a better choice, especially they are not that much more verbose on such a trivial example:

// Kotlin
ints.map { it * it }.take(25)

Read that sentence again; because I did something important there. I took the three separate definitions of the functions that I gave you in the preceding paragraph and combined them into a single sentence. That’s called: (are you ready for the buzzword?) Referential Transparency. [cue: Fanfare, glitter, ticker tape, cheering crowds]

This is where I start being a bit confused by Robert’s point, because if anything, the code he just showed is illustrating a lot more composition than referential transparency.

If you are trying to sell functional programming as a big thing in order to prop up your consultant business, you should probably skip the trivial stuff and start with the hard problems right away, such as preserving referential transparency and immutability, demonstrating the power of composition while accessing a database, returning JSON data from a servlet and have another servlet modify that same database. Do this with a functional programming language and with snippets of code that show clear advantages over today’s Java and C# based solutions and you have yourself a market.

Honestly, we programmers can barely get two Java threads to cooperate.

Not really. Hundreds of thousands of Java programmers write multithreaded code every day and they are doing just fine, because the intricacies of parallelism are abstracted away from them by the frameworks they rely on to get their job done. I’m not talking just about complex Java EE or Spring-based containers but even the simple Tomcat or Jetty servers. More advanced programmers dabble with the amazing java.util.concurrent classes but even those never really have to think much about the hard problems that heavy paralellism involve, because domain gurus such as Brian Goetz and Doug Lea have already done all the hard work for them.

I continue to be wholly unconvinced by the claim that “the new era of multi cores is going to wreak havoc on our code bases unless we adopt a functional programming language”. This claim has two sides, both equally bogus.

As I mentioned above, the fact that we are now running our programs on multiple cores instead of multiple CPU’s brings very little practical difference for anyone writing multithreaded code. What processor/core/green thread/lightweight process your thread will be riding should have zero impact on how you structure your code. If your code was multithread safe on “n CPU’s / 1 core”, it will be equally multithread safe on “1 CPU / n cores” or even “n CPU’s / m cores”. The only major difference is that it now becomes possible to test for actual parallelism (not just concurrency) on inexpensive developer boxes.

The second part of the claim, that only functional programming languages can save us from the impending multicore apocalypse, is equally dubious but I’ll save this for another post, although I’ll point out that traditional OO and imperative programming has shown an amazing power of adaptation and versatility for several decades now, so whatever the next big paradigm will be, it will have to bring significant improvements to the table.

More importantly, if you could peer into the computer’s memory and look at the memory locations used by my program, you’d find that those locations would be initialized as the program first used them, but then they would retain their values, unchanged, throughout the rest of the execution of the program. In other words, no new values would be assigned to those locations.

This is a bizarre claim that shows that Bob only has a passing familiarity with the internals of how a compiler or a VM works. Just because the observable effects of a program are consistent with immutable structures does not mean that the underlying memory is not being shifted around by the OS or by the abstraction layer standing between the source code and the CPU.

Moreover, the claim that immutable structures automatically lead to easy concurrency is not just naïve but plain incorrect: there are a lot of algorithms (such as merge sort) that are inherently not parallelizable.

Overall, this is a fairly unconvincing article that seems to miss most of the well recognized benefits of functional programming (composability remains the aspect that has the highest impact on my code on a daily basis) while touting advantages that range from poorly understood concepts to plain incorrect claims.


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Published at DZone with permission of Cedric Beust , DZone MVB .

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