Computation Expressions

Analogy categoryAnalogies

What Problem Computation Expressions Solve

Chaining operations that might fail, might be asynchronous, or might produce zero-or-more results tends to produce deeply nested code in most languages. Manually chaining Option.bind calls to validate a form — check the name, then the email, then the age, bailing out at the first failure — quickly turns into a pyramid of nested lambdas. F#'s computation expressions solve this by letting you write a special block, like option { ... }, where let! desugars to a call to that block's Bind member and the whole block reads like ordinary sequential code, even though it's actually threading an effect — optionality, asynchrony, laziness — through every step behind the scenes.

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Cricket analogy: A DRS review process that must pass through umpire's call, then ball-tracking, then edge detection in sequence, with any failure aborting the review, is exactly the kind of nested bail-out logic that a computation expression flattens into readable sequential steps.

The option Computation Expression

F#'s core library ships an option builder out of the box. Inside option { let! name = validateName input.Name; let! email = validateEmail input.Email; let! age = validateAge input.Age; return { Name = name; Email = email; Age = age } }, each let! calls the builder's Bind member — for option, that's essentially Option.bind — so if validateName returns None, the whole block short-circuits to None without evaluating the remaining lines at all. return wraps the final value in Some, matching what Bind expects to unwrap on the next call. The result reads like ordinary imperative code with early returns, but every early exit is handled by the type system rather than by exceptions or manual null checks.

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Cricket analogy: A third-umpire review that stops checking further evidence the instant it finds a clear no-ball, never bothering to check the catch afterward, mirrors how option { } short-circuits to None the instant one let! step fails, skipping the rest of the block.

fsharp

// The built-in `option` computation expression
let validateName (s: string) = if s.Length > 0 then Some s else None
let validateAge (a: int) = if a >= 0 && a < 130 then Some a else None

type Person = { Name: string; Age: int }

let tryMakePerson name age =
    option {
        let! validName = validateName name
        let! validAge = validateAge age
        return { Name = validName; Age = validAge }
    }

printfn "%A" (tryMakePerson "Asha" 29)   // Some { Name = "Asha"; Age = 29 }
printfn "%A" (tryMakePerson "" 29)       // None, short-circuits at validateName

// A minimal hand-rolled computation expression builder
type LoggerBuilder() =
    member _.Bind(x, f) =
        printfn "Binding: %A" x
        f x
    member _.Return(x) = x

let logger = LoggerBuilder()

let traced =
    logger {
        let! a = 5
        let! b = a + 10
        return b * 2
    }

Async and Sequence Expressions

async { ... } is the computation expression for asynchronous workflows: let! data = downloadStringAsync url suspends the workflow until the download completes without blocking a thread, and do! is the equivalent for asynchronous calls whose result you don't need, like do! Async.Sleep 1000. Composed with Async.RunSynchronously or Async.Start, this reads as straightforward sequential code while the underlying Bind implementation handles continuations and thread hand-offs. seq { ... }, by contrast, builds lazy sequences using yield and yield! — seq { for i in 1..1000000 do yield i * i } doesn't compute a million squares eagerly; it produces values on demand as a consumer iterates, which is why seq expressions are often used for large or infinite data sources where list would be far too eager.

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Cricket analogy: A stadium's live-score app that updates asynchronously as each ball is bowled, without freezing the whole app while waiting for the next delivery, mirrors how async { } suspends without blocking, letting other work continue.

Building a Custom Computation Expression

You can define your own computation expression by writing a builder class with the members F# looks for: Bind, Return, and optionally Zero, Combine, Delay, and For. A minimal LoggerBuilder can define Bind(x, f) to print the value before continuing, and Return(x) to hand the final value back unwrapped — enough for the compiler to accept logger { let! a = 5; let! b = a + 10; return b * 2 } and desugar it into nested calls to logger.Bind and logger.Return. Real-world custom builders are common for domains like validation-with-error-accumulation (a Result-based builder), parser combinators, or dependency-injection-style configuration blocks, wherever you want let!-style sequencing over a custom notion of 'what it means to chain two steps.'

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Cricket analogy: A franchise designing its own custom fielding-rotation rulebook, rather than using the generic ICC playing conditions, is like writing a custom Bind/Return builder instead of relying on the built-in option or async computation expressions.

Under the hood, the compiler mechanically rewrites option { let! x = e1; return e2 } into builder.Bind(e1, fun x -> builder.Return(e2)) — there is no magic beyond ordinary method calls. Understanding this desugaring is the fastest way to debug a computation expression that isn't behaving as expected: mentally expand the let!/return sugar back into the Bind/Return calls it represents.

Computation expressions are not the same mechanism as LINQ query syntax or async/await in C#, even though they solve similar problems — a custom F# builder's Bind can implement completely different semantics than you'd expect (short-circuiting, accumulating errors, branching into multiple results), so always check what a given builder's Bind actually does before assuming let! behaves like a plain synchronous assignment.

Computation expressions let you write sequential-looking let!/return code over an effect like optionality, asynchrony, or laziness.
The option { } builder short-circuits to None the instant any let! step fails, skipping the rest of the block.
async { } suspends a workflow at let!/do! points without blocking a thread, enabling non-blocking I/O and concurrency.
seq { } builds lazy sequences with yield/yield!, producing values on demand rather than computing them all eagerly.
A custom computation expression is just a class with members like Bind, Return, Zero, and Combine that the compiler calls.
The compiler desugars let!/return mechanically into calls to the builder's Bind and Return members.
Different builders can give let! very different semantics, so never assume it behaves like a plain synchronous assignment.