Exploring Monad-based Error Handling Techniques

Aug 18, 2024

WTF is Monetic Error Handling

Introduction

  • Overview of error handling in different programming languages.
  • Highlight the use of monads as a data structure to handle errors in a type-safe manner.

JavaScript Error Handling

  • Example: Reading a non-existent file using readFileSync from Node's file system module.
  • JavaScript error handling issues:
    • No indication of potential errors in IDE or documentation.
    • Inconsistent behavior with libraries (e.g., some throw errors, some return null/undefined).

Java Error Handling

  • Java uses checked exceptions that are checked at compile time.
  • Methods that can throw exceptions must either catch them or continue throwing them.
  • Example: Reading a file using readAllBytes.
    • Uses throws IOException for checked exceptions.

Rust Error Handling

  • No exceptions, only panics in exceptional circumstances.
  • Uses monads like Result and Option to indicate success or failure.
  • Example: Reading a file with read_to_string, using unwrap and unwrap_or.
    • unwrap: Accesses result if successful; otherwise, it causes a panic.
    • unwrap_or: Provides a default value if the operation fails.
  • Use map for chaining and transformations.

Rust's Option Type

  • Used in cases where a value may or may not exist.
  • Example with find_user_by_id function:
    • Return Some(user) if found, None if not.
    • Use unwrap_or for default values.

Monads in Java

  • Java has Optional but no Result type.
  • Example: getOptional method using Optional<String>.
    • Use map and orElse for transformations and default values.

Monads in JavaScript

  • JavaScript lacks monads in the standard library.
  • Use libraries like fp-ts to implement monads.
  • Example: getOption function using Option from fp-ts.
    • Use pipe, map, and default handling for operations.

Conclusion

  • Monads provide a type-safe way to handle errors and indicate success or failure without relying on documentation.
  • Monads can make code more reliable and easier to read by providing consistent error handling mechanisms.