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Why Swift's type checker is so slow

June 12, 2024・5 minute read

The Swift compiler can take an absurdly long time to compile expressions due to how types are inferred1. Here’s an explanation by the creator of Swift, Chris Lattner (from from his Mojo talk and edited for clarity):

My experience with Swift is we tried to make a really fancy bi-directional Hindley-Milner type checker and it’s really great because you can have very beautiful minimal syntax but the problem is that A) compile times are really bad (particularly if you have complicated expressions) and B) the error messages are awful because now you have a global constraint system and when something goes wrong you have to infer what happened and the user can’t know that something over there made it so something over here can’t type check. In my experience it sounds great but it doesn’t work super well.

Let me explain what he means with an example:

enum ThreatLevel {
    case normal
    case midnight
}

enum KeyTime {
    case midnight
    case midday
}

func setThreatLevel(_ level: ThreatLevel) {...}

func setThreatLevel(_ level: Int) {...}

setThreatLevel(.midnight)

On the last line, setThreatLevel could refer to one of two functions, and .midnight could represent ThreatLevel.midnight or KeyTime.midnight. The Swift compiler uses a constraint solver to find the valid combination is setThreatLevel(_ level: ThreatLevel) and ThreatLevel.midnight. On longer expressions with many more possible combinations the constraint solver can get bogged down. Often the ExpressibleBy protocols and operator overloading create high combination counts, like in this example:

let address = "127.0.0.1"
let username = "steve"
let password = "1234"
let channel = 11

let url = "http://" + username 
            + ":" + password 
            + "@" + address 
            + "/api/" + channel 
            + "/picture"

print(url)

Swift 6 spends 42 seconds on these 12 lines on an M1 Pro, only to spit out the notorious error: the compiler is unable to type-check this expression in reasonable time; try breaking up the expression into distinct sub-expressions. In the same amount of time, Clang can perform a clean build of my 59,000 line C project 38 times. The Swift standard library has 17 overloads of + and 9 types adopting the ExpressibleByStringLiteral Protocol. This leads to an exponential combination of types and operators for the constraint solver to try. Unfortunately for the solver, I included a type error in the expression. The + operator cannot add the channel Int to a String literal. No matter how many combinations the solver tries, none of them resolve this error. In this case the compiler gives up before trying them all and fails to point out the type mismatch.

You can fix the problem by converting channel to String:

let url = "http://" + username 
            + ":" + password 
            + "@" + address 
            + "/api/" + String(channel) 
            + "/picture"

This successfully compiles in 0.19 seconds! The constraint solver is designed to try the most likely combinations first — that strategy pays off now that the code doesn’t have an error. It is possible to write expressions that successfully compile, but take a long time:

let result: Double = -(1 + 1) + -(1 + 1) - 1

Swift 6 takes 6.2 seconds to compile this one line2. Even toy languages compile equivalent expressions faster.

The nature of constraint solvers is that they may find unexpected solutions, or have unpredictable performance. For example, appending “+ 1” to the previous example makes it compile in 0.7 seconds. Very strange. Tweaking the expression in other ways gave me the unable to type-check this expression in reasonable time error.

What can be done?

You may have expressions in your code slowing down compile times. To find the worst offenders, run:

xcodebuild clean build -project <YOUR PROJECT FILE NAME>.xcodeproj/ OTHER_SWIFT_FLAGS="-Xfrontend -debug-time-expression-type-checking" | grep -Ei '^\d+\.\d+ms\t/.+$' | sort -r

Use temporary variables to break the slow expressions into multiple statements. In addition, it might be worth adding -Xfrontend and -warn-long-expression-type-checking=100 to your project’s “Other swift flags” build setting to be warned when an expression takes longer than 100 milliseconds to compile.

My friends within Apple tell me that they have learned to limit expression length to try to control compile times. I’ve heard similar stories from friends at Delta Air Lines and other companies.

The Swift team is aware of the issue, and lists the following item under known problem areas:

Expression type inference solves constraints inefficiently, and can sometimes behave super-linearly or even exponentially.

Unfortunately the current approach’s exponential worst case is unavoidable. A different approach to type checking is required to fix it. I think it’s worth considering this course of action:

  1. Add a compiler flag that switches to a new type checker that doesn’t use a constraint solver and instead requires type annotations in complicated situations. There are many ways this could be done, requiring varying degrees of changes to end-user code. My point is that I’m willing to write some type annotations in exchange for fast, predictable performance.
  2. Make a tool to add type annotations, casts, and full enum names to existing code where necessary so it compiles with the new type checker
  3. Update all sample code to compile with the new type checker
  4. Make an Xcode feature to hide/collapse/de-emphasize the now-required type annotations to ease the transition
  5. Enable the flag by default for new Xcode projects
  6. Deprecate the old type checker

To learn more about Swift’s type checker, start by reading Type Checker Design and Implementation. The type checker source code is located in the swift/lib/Sema folder

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  1. In larger projects, some compile time slowness is due to the Swift/Xcode/SwiftPM build system, but that’s a different story. ↩︎

  2. Example from Exponential time complexity in the Swift type checker ↩︎