Question 1

How do I sort a slice of custom structs with sorty?

Accepted Answer

You need to write a lesswap() function that combines Less and Swap logic, then pass it to sorty.Sort(). This allows concurrent sorting but requires extra effort compared to standard interfaces.

Question 2

Is sorty faster than Go's standard sort for large arrays?

Accepted Answer

Yes, for large datasets, sorty leverages multiple CPU cores and optimized algorithms, often outperforming the standard library in benchmarks, especially with concurrent execution enabled.

Question 3

Can sorty handle NaN values in float slices?

Accepted Answer

Yes, sorty provides configurable NaN handling through the NaNoption variable, allowing you to specify how NaN values are treated, such as placing them at the beginning or end.

Question 4

How do I tune sorty for my specific CPU?

Accepted Answer

Run 'go test -timeout 3h -tags tuneparam' to benchmark and adjust the MaxLen* parameters, then manually update these constants in the source code for best performance on your hardware.

Question 5

What's the difference between sorty and pdqsort in Go?

Accepted Answer

sorty focuses on concurrent QuickSort with in-place memory, while pdqsort offers pattern-defeating quicksort with better performance on partially sorted data. sorty excels in parallelism but lacks some optimizations.

Question 6

Is sorty safe for concurrent use in Go programs?

Accepted Answer

sorty uses goroutines internally for parallel sorting, and its API supports concurrent calls, but you should manage MaxGor and avoid race conditions when sorting from multiple goroutines.

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