Lane Wagner, Go backend engineer and founder of boot.dev, discusses Go's design and functional programming. Topics include the debate between tabs and spaces for indentation, advantages of functional programming languages, hierarchy of functions in functional programming, rock's concurrency story, breaking protocol and debugging in programming, function purity and IO operations in functional programming, Cgo, static compilation, and hot code loading in Go, and stateful IO in functional programming.
Purely functional languages eliminate the need for synchronous IO and ensure functions are pure without IO side effects.
Purely functional languages simplify code by making all IO operations asynchronous and enabling caching and memoization of non-async functions.
Functional programming concepts and purely functional languages simplify concurrency, allowing developers to write clean and efficient code while avoiding mutable state and imperative programming pitfalls.
Deep dives
Simplifying IO in a Purely Functional Language
In a purely functional language, all IO operations are asynchronous by default, removing the need for synchronous IO. Every function that is not async can be considered pure because async is used to handle IO operations, and therefore non-async functions do not perform any IO side effects. By avoiding the use of global variables and mutation, functions can be guaranteed to always return the same value given the same arguments. The absence of mutation also means that functions can be easily cached and memoized.
The Benefits of a Consistent Approach to IO
A purely functional language reduces duplication by making all IO operations asynchronous, eliminating the need for duplicate synchronous and async versions of the same IO functions. By eliminating synchronous IO and random number generation, and ensuring that functions do not mutate their arguments, the language can guarantee purity. Function calls that are not async can be cached and memoized, leading to simpler and more efficient code.
Embracing Functional Programming and Concurrency
Purely functional languages simplify concurrency by eliminating mutable state and supporting immutability. By learning functional programming concepts and avoiding impure functions, developers gain the ability to write clean and efficient concurrent code. While learning purely functional languages may require a mindset shift, the functional paradigm provides advantages in terms of code clarity, performance, and predictability.
The Power of Functional Programming without the Complexity
Functional languages like Rock and Elm offer the benefits of functional programming without the complexity. By embracing immutability and purity, and using async IO for all IO operations, these languages simplify code and ensure more predictable outcomes. With functional programming techniques and concurrency patterns, developers can write clean and efficient code while avoiding common pitfalls associated with mutable state and imperative programming.
The Benefit of Bundling IO and Purity in Rock
Rock, a programming language, combines IO and purity by using a concept called task, which models both success and error cases. It allows developers to describe IO operations as a chain of tasks similar to async/await in JavaScript. The runtime then executes these tasks potentially concurrently, making the IO non-blocking. Despite the differences in syntax, the code structure in Rock is quite similar to async/await. Rock's approach to concurrency is platform-defined, allowing different platforms to implement different concurrency systems. It offers flexibility for platform authors to choose the best way to handle concurrency depending on the specific requirements of the platform.
The Challenges of Hot Code Loading and Impurities in Rock
Hot code loading, which allows updating code on the fly without restarting the server, is a feature that Rock aims to include. Since Rock applications are essentially bundled as C libraries, dynamically loading and unloading them should be straightforward. However, the challenge lies in correctly managing stateful IO operations during hot code loading. As the platform handles memory management, it could potentially include additional functionality like running arbitrary IO operations. While this may be possible, it is discouraged and considered breaking protocol. The design of Rock explicitly discourages impurities and unsafe operations to maintain the benefits of its type checking and optimizations.