Back when I was more into pushing Haskell on my team (10+ years ago), I pitched the idea something like:
You get: the knowledge that your function's output will only depend on its input.
You pay: you gotta stop using those for-loops and [i]ndexes, and start using maps, folds, filters etc.
Those higher-order functions are a tough sell for programmers who only ever want to do things the way they've always done them.But 5 years after that, in Java-land everyone was using maps, folds and filters like crazy (Or in C# land, Selects and Wheres and SelectManys etc,) with some half-thought-out bullshit reasoning like "it's functional, so it must good!"
So we paid the price, but didn't get the reward.
The main problem with Monads is you're almost always the only programmer on a team who even knows what a Monad is.
You could I guess have a “before” step that iterates your data stream and logs all the before values, and then an “after” step that iterates after and logs all the after and get something like:
``` (->> (map log-before data) (map transform-data) (map log-after-data)) ```
But doesn’t that cause you to iterate your data 2x more times than you “need” to and also split your logging into 2x as many statements (and thus 2x as much IO)
for i in 0 to arr.len() {
new_val = f(arr[i]);
log("Changing {arr[i]} to {new_val}.\n");
arr[i] = new_val;
}
I haven't used Haskell in a long time, but here's a kind of pure way you might do it in that language, which I got after tinkering in the GHCi REPL for a bit. In Haskell, since you want to separate IO from pure logic as much as possible, functions that would do logging return instead a tuple of the log to print at the end, and the pure value. But because that's annoying and would require rewriting a lot of code manipulating tuples, there's a monad called the Writer monad which does it for you, and you extract it at the end with the `runWriter` function, which gives you back the tuple after you're done doing the computation you want to log.You shouldn't use Text or String as the log type, because using the Writer involves appending a lot of strings, which is really inefficient. You should use a Text Builder, because it's efficient to append Builder types together, and because they become Text at the end, which is the string type you're supposed to use for Unicode text in Haskell.
So, this is it:
import qualified Data.Text.Lazy as T
import qualified Data.Text.Lazy.Builder as B
import qualified Data.Text.Lazy.IO as TIO
import Control.Monad.Writer
mapWithLog :: (Traversable t, Show a, Show b) => (a -> b) -> t a -> Writer B.Builder (t b)
mapWithLog f = mapM helper
where
helper x = do
let x' = f x
tell (make x <> B.fromString " becomes " <> make x' <> B.fromString ". ")
pure x'
make x = B.fromString (show x)
theActualIOFunction list = do
let (newList, logBuilder) = runWriter (mapWithLog negate list)
let log = B.toLazyText logBuilder
TIO.putStrLn log
-- do something with the new list...
So "theActualIOFunction [1,2,3]" would print: 1 becomes -1. 2 becomes -2. 3 becomes -3.
And then it does something with the new list, which has been negated now.The computation code becomes effectful, but the effects are visible in types and are limited by them, and effects can be implemented both with pure and impure code (e.g. using another effect).
The effect can also be abstract, making the processing code kinda pure.
In a language with unrestricted side effects you can do the same by passing a Writer object to the function. In pure languages the difference is that the object can't be changed observably. So instead its operations return a new one. Conceptually IO is the same with the object being "world", so computation of type "IO Int" is "World -> (World, Int)". Obviously, the actual IO type is opaque to prevent non-linear use of the world (or you can make the world cloneable). In an impure language you can also perform side-effects, it is similar to having a global singleton effect. A pure language doesn't have that, and requires explicit passing.
In the case above, where I constructed a really long string, it depends on the type of string you use. I used lazy Text, which is internally a lazy list of strict chunks of text, so that won't ever have to be in memory all at once to print it, but if I had used the strict version of Text, then it would have just been a really long string that had to be evaluated and loaded into memory all at once before being printed.
Now repeat this for every location where you want to log something because you're debugging
But with Haskell, I tend to do less debugging anyway, and more time getting the types right to with; when there's a function that doesn't work but still type checks, I feed it different inputs in GHCi and reread the code until I figure out why, and this is easy because almost all functions are pure and have no side effects and no reliance on global state. This is probably a sign that I don't write enough tests from the start, so I end up doing it like this.
But, I agree that doing things in a pure functional manner like this can make Haskell feel clunkier to program, even as other things feel easier and more graceful. Logging is one of those things where you wonder if the juice is worth the squeeze when it comes to doing everything in a pure functional way. Like I said, I haven't used it in a long time, and it's partly because of stuff like this, and partly because there's usually a language with a better set of libraries for the task.
> You pay: you gotta stop using those for-loops and [i]ndexes, and start using maps, folds, filters etc.
You're my type of guy. And literally none of my coworkers in the last 10 years were your type of guy. When they read this, they don't look at it in awe, but in horror. For them, functions should be allowed to have side effects, and for loops is a basic thing they don't see good reason to abandon.
I'm not against functional languages. My point was that if you want to encourage others to try it, those two are not what you want to lead with.
Maps and folds and filters are everywhere now. Why? Because 'functional is good!' ... but why is functional good?
> you gotta stop using those for-loops and [i]ndexes, and start using maps, folds, filters etc.
You mean what C# literally does everywhere because Enumerable is the premier weapon of choice in the language, and has a huge amount of exactly what you want: https://learn.microsoft.com/en-us/dotnet/api/system.linq.enu...
(well, with the only exception of foreach which is for some odd reason is still a loop).
> But 5 years after that
Since .net 3.5 18 years ago: https://learn.microsoft.com/en-us/dotnet/api/system.linq.enu...
> So we paid the price, but didn't get the reward.
Who is "we", what was the price, and what was the imagined reward?
Slow down and re-read.
>> You get: the knowledge that your function's output will only depend on its input.
>> You pay: you gotta stop using those for-loops and [i]ndexes, and start using maps, folds, filters etc.
What was the price: two things:
- The programmers must stop using for-loops and [i]ndexes.
- The programmers must start using maps/folds/filters/et cetera.
What was the expected reward: the knowledge that their functions' outputs will only depend on their inputs.
In short: programmers who change their behaviour get the benefit of certainty about specific properties of their programs.