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There is a lot of talk about monads these days. I have read a few articles / blog posts, but I can't go far enough with their examples to fully grasp the concept. The reason is that monads are a functional language concept, and thus the examples are in languages I haven't worked with (since I haven't used a functional language in depth). I can't grasp the syntax deeply enough to follow the articles fully ... but I can tell there's something worth understanding there.

However, I know C# pretty well, including lambda expressions and other functional features. I know C# only has a subset of functional features, and so maybe monads can't be expressed in C#.

However, surely it is possible to convey the concept? At least I hope so. Maybe you can present a C# example as a foundation, and then describe what a C# developer would wish he could do from there but can't because the language lacks functional programming features. This would be fantastic, because it would convey the intent and benefits of monads. So here's my question: What is the best explanation you can give of monads to a C# 3 developer?

Thanks!

(EDIT: By the way, I know there are at least 3 "what is a monad" questions already on SO. However, I face the same problem with them ... so this question is needed imo, because of the C#-developer focus. Thanks.)

+6  A: 

A monad is essentially deferred processing. If you are trying to write code that has side effects (e.g. I/O) in a language that does not permit them, and only allows pure computation, one dodge is to say, "Ok, I know you won't do side effects for me, but can you please compute what would happen if you did?"

It's sort of cheating.

Now, that explanation will help you understand the big picture intent of monads, but the devil is in the details. How exactly do you compute the consequences? Sometimes, it isn't pretty.

The best way to give an overview of the how for someone used to imperative programming is to say that it puts you in a DSL wherein operations that look syntactically like what you are used to outside the monad are used instead to build a function that would do what you want if you could (for example) write to an output file. Almost (but not really) as if you were building code in a string to later be eval'd.

MarkusQ
Like in the I Robot book? Where the scientist ask a computer to calculate space travel and ask them to skip certain rules? : ) :) :) :)
OscarRyz
+5  A: 

I'm sure other users will post in-depth, but I found this video helpful to an extent, but I will say that I'm still not to the point of fluency with the concept such that I could (or should) begin solving problems intuitively with Monads.

TheMissingLINQ
What I found even more helpful was the comment containing a C# example below the video.
jalf
I dunno about *more* helpful, but it certainly put the ideas in practice.
TheMissingLINQ
+1  A: 

this introduction may help:

http://channel9vip.orcsweb.com/shows/Going+Deep/Brian-Beckman-Dont-fear-the-Monads/

Richard
That's what themissinglinq already posted (you probably crossed each other on the inter-tubes).
Charlie Flowers
+1  A: 

You can think of a monad as a C# interface that classes have to implement. This is a pragmatic answer that ignores all the category theoretical math behind why you'd want to choose to have these declarations in your interface and ignores all the reasons why you'd want to have monads in a language that tries to avoid side effects, but I found it to be a good start as someone who understands (C#) interfaces.

Hao Lian
Can you elaborate? What is it about an interface that relates it to monads?
Joel Coehoorn
I think the blog post expends several paragraphs devoted to that question.
Hao Lian
+1  A: 

This article about monads by Matthew Podwysocki gives a good introductin from the C# point of view. It mixes C# code and F# code so it's relatively easy to follow, even for the non functional programmer. Note that examples are both in C# and F#

Here is another good article from Matthew...

Jorge Córdoba
+22  A: 

Read The Marvels of Monads. I think it's exactly what you're looking for.

Kurt Schelfthout
+1 - Agreed, this is a great post for C# devs to get their heads around monads.
Greg Beech
Oh, yes, this is a GREAT article. Thanks! (And it contradicts some of the other responses here ... which shows what a complicated and rich topic monads really are).
Charlie Flowers
There seems to be a continuing problem with Monad articles in that they very elegantly(?) describes *how* to do it, but they utterly fail to explain *why* you want to do it. For instance, when would I really want to "compose" two functions in order to generate a new one? It's not something I consciously do all the time. And it takes most articles about two sentences into their description before they revert to local terminology, like "apply f to g" etc. It's not grockable by people without a degree in mathematics.
Lasse V. Karlsen
@Lasse: I'd advise you to start _using_ predefined monads in Haskell or workflows in F# then. A nice place to start would be the Async workflow in F#, for example. Or the sequence workflow. Hell, implement your own SelectMany in C# and you're halfway there. EVer felt the pain of asynchronous programming? Monads help. Like LINQ to Objects? Monads helped.
Kurt Schelfthout
+31  A: 

Most of what you do in programming all day is combining some functions together to build bigger functions from them. Usually you have not only functions in your toolbox but also other things like operators, variable assignments and the like, but generally your program combines together lots of "computations" to bigger computations that will be combined together further.

A monad is some way to do this "combining of computations".

Usually your most basic "operator" to combine two computations together is ";":

a; b

When you say this you mean "first do a, then do b". The result "a; b" is basically again a computation that can be combined together with more stuff. This is a simple monad, it is a way to combing small computations to bigger ones. The ";" says "do the thing on the left, then do the thing on the right".

Another thing that can be seen as a monad in object oriented languages is the ".". Often you find things like this:

a.b().c().d()

The "." basically means "evaluate the computation on the left, and then call the method on the right on the result of that". It is another way to combine functions/computations together, a little more complicated than ";". And the concept of chaining things together with "." is a monad, since it's a some way of combining two computations together to a new computation.

Another fairly common monad, that has no special syntax, is this pattern:

rv = socket.bind(address, port);
if (rv == -1)
  return -1;

rv = socket.connect(...);
if (rv == -1)
  return -1;

rv = socket.send(...);
if (rv == -1)
  return -1;

A return value of -1 indicates failure, but there is no real way to abstract out this error checking, even if you have lot's of API-calls that you need to combine in this fashion. This is basically just another monad that combines the function calls by the rule "if the function on the left returned -1, do return -1 ourselves, otherwise call the function on the right". If we had an "operator >>=" that did this thing we could simply write

socket.bind(...) >>= socket.connect(...) >>= socket.send(...)

It would make things more readable and help to abstract out our special way of combining functions, so that we don't need to repeat ourselves over and over again.

And there are many more ways to combine functions/computations that are useful as a general pattern and can be abstracted in a monad, enabling the user of the monad to write much more concise and clear code, since all the book-keeping and management of the used functions is done in the monad.

For example the above ">>=" could be extended to "do the error checking and then call the right side on the socket that we got as input", so that we don't need to explicitly specify socket lots of times:

new socket() >>= bind(...) >>= connect(...) >>= send(...);

The formal definition is a bit more complicated since you have to worry about how to get the result of one function as an input to the next one, if that function needs that input and since you want to make sure that the functions you combine fit into the way you try to combine them in your monad. But the basic concept is just that you formalize different ways to combine functions together.

sth
Great answer! I'm going to throw in a quote by Oliver Steele, trying to relate Monads to operator overloading à la C++ or C#: Monads allow you to overload the ';' operator.
Jörg W Mittag
+3  A: 

It has been a year since I posted this question. After posting it, I delved into Haskell for a couple of months. I enjoyed it tremendously, but I placed it aside just as I was ready to delve into Monads. I went back to work and focused on the technologies my project required.

And last night, I came and re-read these responses. Most importantly, I re-read the specific C# example in the text comments of the Brian Benson video someone mentions above. It was so completely clear and illuminating that I've decided to post it directly here.

Because of this comment, not only do I feel like I understand exactly what Monads are ... I realize I've actually written some things in C# that are Monads ... or at least very close, and striving to solve the same problems.

So, here's the comment, and it is a direct quote from here:

This is pretty cool. It's a bit abstract though. I can imagine people who don't know what monads are already get confused due to the lack of real examples.

So let me try to comply, and just to be really clear I'll do an example in C#, even though it will look ugly. I'll add the equivalent Haskell at the end and show you the cool Haskell syntactic sugar which is where, IMO, monads really start getting useful.

Okay, so one of the easiest Monads it called the "Maybe monad" in Haskell. In C# the Maybe type is called Nullable. It's basically a tiny class that just encapsulates the concept of a value that is either valid and has a value, or is "null" and has no value.

A useful thing to stick inside a monad for combining values of this type is the notion of failure. I.e. we want to be able to look at multiple nullable values and return "null" as soon as any one of them is null. This could be useful if you, for example, look up lots of keys in a dictionary or something, and at the end you want to process all of the results and combine them somehow, but if any of the keys are not in the dictionary, you want to return "null" for the whole thing. It would be tedious to manually have to check each lookup for "null" and return, so we can hide this checking inside the bind operator (which is sort of the point of monads, we hide book-keeping in the bind operator which makes the code easier to use since we can forget about the details).

Here's the program that motivates the whole thing (I'll define the Bind later, this just to show you why it's nice).

 class Program
    {
        static Nullable<int> f(){ return 4; }        
        static Nullable<int> g(){ return 7; }
        static Nullable<int> h(){ return 9; }


        static void Main(string[] args)
        {


            Nullable<int> z = 
                              f().Bind( fval => 
                              g().Bind( gval => 
                              h().Bind( hval =>
                              new Nullable<int>( fval + gval + hval ))));

            Console.WriteLine(
                    "z = {0}", z.HasValue ? z.Value.ToString() : "null" );
            Console.WriteLine("Press any key to continue...");
            Console.ReadKey();
        }
    }

Now, ignore for a moment that there already is support for doing this for Nullable in C# (you can add nullable ints together and you get null if either is null). Let's pretend that there is no such feature, and it's just a user-defined class with no special magic. The point is that we can use the Bind function to bind a variable to the contents of our Nullable value and then pretend that there's nothing strange going on, and use them like normal ints and just add them together. We wrap the result in a nullable at the end, and that nullable will either be null (if any of f, g or h returns null) or it will be the result of summing f, g, and h together. (this is analogous of how we can bind a row in a database to a variable in LINQ, and do stuff with it, safe in the knowledge that the Bind operator will make sure that the variable will only ever be passed valid row values).

You can play with this and change any of f, g, and h to return null and you will see that the whole thing will return null.

So clearly the bind operator has to do this checking for us, and bail out returning null if it encounters a null value, and otherwise pass along the value inside the Nullable structure into the lambda.

Here's the Bind operator:

public static Nullable<B> Bind<A,B>( this Nullable<A> a, Func<A,Nullable<B>> f ) 
    where B : struct 
    where A : struct
{
    return a.HasValue ? f(a.Value) : null;
}

The types here are just like in the video. It takes an "M a" (Nullable<A> in C# syntax for this case), and a function from "a" to "M b" (Func<A, Nullable<B>> in C# syntax), and it returns an "M b" (Nullable<B>).

The code simply checks if the nullable contains a value and if so extracts it and passes it onto the function, else it just returns null. This means that the Bind operator will handle all the null-checking logic for us. If and only if the value that we call Bind on is non-null then that value will be "passed along" to the lambda function, else we bail out early and the whole expression is null. This allows the code that we write using the monad to be entirely free of this null-checking behaviour, we just use Bind and get a variable bound to the value inside the monadic value (fval, gval and hval in the example code) and we can use them safe in the knowledge that Bind will take care of checking them for null before passing them along.

There are other examples of things you can do with a monad. For example you can make the Bind operator take care of an input stream of characters, and use it to write parser combinators. Each parser combinator can then be completely oblivious to things like back-tracking, parser failures etc., and just combine smaller parsers together as if things would never go wrong, safe in the knowledge that a clever implmenetation of Bind sorts out all the logic behind the difficult bits. Then later on maybe someone adds logging to the monad, but the code using the monad doesn't change, because all the magic happens in the definition of the Bind operator, the rest of the code is unchanged.

Finally, here's the implemenation of the same code in Haskell (-- begins a comment line).

-- Here's the data type, it's either nothing, or "Just" a value
-- this is in the standard library
data Maybe a = Nothing | Just a

-- The bind operator for Nothing
Nothing >>= f = Nothing
-- The bind operator for Just x
Just x >>= f = f x

-- the "unit", called "return"
return = Just

-- The sample code using the lambda syntax
-- that Brian showed
z = f >>= ( \fval ->
     g >>= ( \gval ->  
     h >>= ( \hval -> return (fval+gval+hval ) ) ) )

-- The following is exactly the same as the three lines above
z2 = do 
   fval <- f
   gval <- g
   hval <- h
   return (fval+gval+hval)

As you can see the nice "do" notation at the end makes it look like straight imperative code. And indeed this is by design. Monads can be used to encapsulate all the useful stuff in imperative programming (mutable state, IO etc.) and used using this nice imperative-like syntax, but behind the curtains, it's all just monads and a clever implementation of the bind operator! The cool thing is that you can implement your own monads by implemnting >>= and return. And if you do so those monads will also be able to use the do notation, which means you can basically write your own little languages by just defining two functions!

Charlie Flowers
Personally I prefer F#'s version of the monad, but in either case they are awesome.
ChaosPandion
+1  A: 

This article by Tony Morris gives a good description about Monads from Java point of view. (The code examples used are understandable by a C# developer.)

missingfaktor