golang-samber-lo

Type-safe map and filter operations on slices in Go are performed using functional programming helpers that execute declarative transformations, preventing boilerplate loops and ensuring collection elements match expected types.

The best way to group and chunk slice data in Go is using functional collection transforms that handle grouping, chunking, and deduplication declaratively. This removes repetitive loop boilerplate and allows developers to express data transformation intent directly for downstream indexing.

To stop slice iteration early when an error occurs in Go transforms, use error-aware variants with an Err suffix, such as MapErr or FilterErr. These functions halt operations immediately upon encountering an error and return it, preventing silent failures in data pipelines.

Lazy iterators should be used instead of standard slice transforms in Go for large multi-step pipelines on Go 1.23+. The lazy evaluation module processes elements on demand, which optimizes memory consumption and performance across complex sequential data transformation workflows.

Yes, samber/lo supports concurrent processing for CPU-bound slice transformations through its dedicated parallel module. This allows developers to switch from immutable core operations to parallel execution when optimizing performance-heavy batch data workloads.

You should not use in-place mutations for Go collection transforms outside of validated hot paths. The mutation module modifies data directly for performance tuning, which sacrifices the immutable-by-default safety of the core package and risks unintended side effects.