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  • Rank 274,205 (Top 6 %)
  • Language
    Go
  • License
    Mozilla Public Li...
  • Created almost 6 years ago
  • Updated 6 months ago

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Repository Details

โšก Fast Concurrent / Parallel Sorting in Go

sorty go report card go.dev ref

sorty is a type-specific, fast, efficient, concurrent / parallel sorting library. It is an innovative QuickSort implementation, hence in-place and does not require extra memory. You can call:

import "github.com/jfcg/sorty/v2"

sorty.SortSlice(native_slice) // []int, []float64, []string etc. in ascending order
sorty.SortLen(len_slice)      // []string or [][]T 'by length' in ascending order
sorty.Sort(n, lesswap)        // lesswap() based

If you have a pair of Less() and Swap(), then you can trivially write your lesswap() and sort your generic collections using multiple CPU cores quickly.

sorty natively sorts any type equivalent to

[]int, []int32, []int64, []uint, []uint32, []uint64,
[]uintptr, []float32, []float64, []string, [][]byte,
[]unsafe.Pointer, []*T // for any type T

sorty also natively sorts any type equivalent to []string or [][]T (for any type T) by length.

sorty is stable (as in version), well-tested and pretty careful with resources & performance:

  • lesswap() operates faster than sort.Interface on generic collections.
  • For each Sort*() call, sorty uses up to MaxGor (3 by default, including caller) concurrent goroutines and up to one channel.
  • Goroutines and channel are created/used only when necessary.
  • MaxGor=1 (or a short input) yields single-goroutine sorting: no goroutines or channel will be created.
  • MaxGor can be changed live, even during an ongoing Sort*() call.
  • MaxLen* parameters are tuned to get the best performance, see below.
  • sorty API adheres to semantic versioning.

sorty does not yet recognize partially sorted (sub-)slices to sort them faster (like pdqsort).

Benchmarks

See Green tick > QA / Tests > Details. Testing and benchmarks are done with random inputs via jfcg/rng library.

Testing & Parameter Tuning

Run tests with:

go test -timeout 1h -v

You can tune MaxLen* for your platform/CPU with:

go test -timeout 3h -tags tuneparam

Now you can update MaxLen* in maxc.go and run tests again to see the improvements. The parameters are already set to give good performance over different CPUs. Also see Green tick > QA / Tuning > Details.

Support

See Contributing, Security and Support guides. Also if you use sorty and like it, please support via Github Sponsors or:

  • BTC:bc1qr8m7n0w3xes6ckmau02s47a23e84umujej822e
  • ETH:0x3a844321042D8f7c5BB2f7AB17e20273CA6277f6