A Go library for combining multiple errors into a single error value while maintaining idiomatic Go patterns.
multierr is a Go library that allows developers to combine multiple error values into a single error object, making it easier to handle and propagate multiple failures in Go applications. It solves the problem of tracking multiple errors from concurrent operations or complex workflows where traditional single-error handling is insufficient.
Go developers building applications that require robust error handling, especially those working with concurrent operations, batch processing, or systems where multiple failures need to be collected and reported together.
Developers choose multierr because it provides an idiomatic, performant way to handle multiple errors in Go without breaking standard library compatibility, offering defer-safe APIs and optimization for common patterns while keeping dependencies minimal.
Combine one or more Go errors together
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Keeps the underlying error type hidden, allowing developers to work exclusively with standard error values, which follows Go best practices and maintains code cleanliness.
Provides functions like AppendInvoke to safely append errors from defer statements, preventing common pitfalls like variable scoping issues in error handling.
Minimizes allocations and uses slice resizing semantics to optimize common patterns, such as appending errors in loops, reducing overhead in high-use scenarios.
Seamlessly works with errors.Is and errors.As from Go's standard library, ensuring interoperability without breaking existing error inspection workflows.
Combined errors require unwrapping or iteration to access individual errors, adding extra steps and complexity to error handling code compared to single-error scenarios.
Lacks built-in support for error filtering, prioritization, or transformation, which might necessitate additional custom code in complex error handling situations.
In applications with rare or single errors, using multierr introduces unnecessary complexity and slight performance costs without significant benefits.