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a high-performance and gc-friendly LRU cache

godoc release goreport codecov

Overview

This package provides LRU and TTL cache implementations for Go services that need predictable cache behavior on hot paths. Cache operations stay simple and synchronous: hits update recency immediately, sets are visible immediately, and the API does not hide background admission queues or delayed write paths.

The implementation is shaped around Go's runtime costs. Fixed-size shards, array-backed lists, compact hash tables, low pointer density, and no per-entry allocation keep classic LRU semantics while reducing heap pressure, pointer chasing, and GC scan work. The tests keep statement coverage at 100% and assert observable cache behavior across eviction, replacement, loading, TTL expiry, and byte-key paths.

BytesCache covers byte-oriented paths where keys and values are already available as []byte. It avoids string conversion, keeps the byte path zero-copy, and assumes cached slices are treated as immutable.

Features

  • Simple
    • No Dependencies.
    • Straightforward API.
  • Fast
    • Outperforms well-known LRU caches.
    • Zero memory allocations.
  • GC friendly
    • Pointerless and continuous data structs.
    • Minimized GC scan times.
  • Memory efficient
    • Adds only 26 extra bytes per entry.
    • Minimized memory usage.
  • Feature optional
    • Using SlidingCache via WithSliding(true) option.
    • Create LoadingCache via WithLoader(func(context.Context, K) (V, time.Duration, error)) option.

Limitations

  1. The TTL is accurate to the nearest second.
  2. Expired items are only removed when accessed again or the cache is full.

Getting Started

package main

import (
	"time"

	"github.com/phuslu/lru"
)

func main() {
	cache := lru.NewTTLCache[string, int](8192)

	cache.Set("a", 1, 2*time.Second)
	println(cache.Get("a"))
	println(cache.Get("b"))

	time.Sleep(1 * time.Second)
	println(cache.Get("a"))

	time.Sleep(2 * time.Second)
	println(cache.Get("a"))

	stats := cache.Stats()
	println("SetCalls", stats.SetCalls, "GetCalls", stats.GetCalls, "Misses", stats.Misses)
}

Throughput benchmarks

Disclaimer: This have been testing on github actions environments and the results may be very different from yours. see #14

A Performance result as below. Check github benchmark action for more results and details.

go1.24 benchmark on keysize=16, itemsize=1000000, cachesize=50%, concurrency=8
// env writeratio=0.05 go test -v -cpu=8 -run=none -bench=. -benchtime=5s -benchmem bench_test.go
package bench

import (
	"crypto/sha1"
	"fmt"
	"math/rand/v2"
	"math/bits"
	"os"
	"runtime"
	"strconv"
	"testing"
	"time"
	_ "unsafe"

	theine "github.com/Yiling-J/theine-go"
	"github.com/cespare/xxhash/v2"
	cloudflare "github.com/cloudflare/golibs/lrucache"
	ristretto "github.com/dgraph-io/ristretto/v2"
	freelru "github.com/elastic/go-freelru"
	hashicorp "github.com/hashicorp/golang-lru/v2/expirable"
	ccache "github.com/karlseguin/ccache/v3"
	lxzan "github.com/lxzan/memorycache"
	otter "github.com/maypok86/otter/v2"
	ecache "github.com/orca-zhang/ecache"
	phuslu "github.com/phuslu/lru"
)

const (
	keysize   = 16
	cachesize = 1000000
)

var writeratio, _ = strconv.ParseFloat(os.Getenv("writeratio"), 64)

type CheapRand struct {
	Seed uint64
}

func (rand *CheapRand) Uint32() uint32 {
	rand.Seed += 0xa0761d6478bd642f
	hi, lo := bits.Mul64(rand.Seed, rand.Seed^0xe7037ed1a0b428db)
	return uint32(hi ^ lo)
}

func (rand *CheapRand) Uint32n(n uint32) uint32 {
	return uint32((uint64(rand.Uint32()) * uint64(n)) >> 32)
}

func (rand *CheapRand) Uint64() uint64 {
	return uint64(rand.Uint32())<<32 ^ uint64(rand.Uint32())
}

var shardcount = func() int {
	n := runtime.GOMAXPROCS(0) * 16
	k := 1
	for k < n {
		k = k * 2
	}
	return k
}()

var keys = func() (x []string) {
	x = make([]string, cachesize)
	for i := range cachesize {
		x[i] = fmt.Sprintf("%x", sha1.Sum([]byte(fmt.Sprint(i))))[:keysize]
	}
	return
}()

func BenchmarkHashicorpSetGet(b *testing.B) {
	cache := hashicorp.NewLRU[string, int](cachesize, nil, time.Hour)
	for i := range cachesize/2 {
		cache.Add(keys[i], i)
	}

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.Add(keys[i], i)
			} else {
				cache.Get(keys[zipf.Uint64()])
			}
		}
	})
}

func BenchmarkCloudflareSetGet(b *testing.B) {
	cache := cloudflare.NewMultiLRUCache(uint(shardcount), uint(cachesize/shardcount))
	for i := range cachesize/2 {
		cache.Set(keys[i], i, time.Now().Add(time.Hour))
	}
	expires := time.Now().Add(time.Hour)

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.Set(keys[i], i, expires)
			} else {
				cache.Get(keys[zipf.Uint64()])
			}
		}
	})
}

func BenchmarkEcacheSetGet(b *testing.B) {
	cache := ecache.NewLRUCache(uint16(shardcount), uint16(cachesize/shardcount), time.Hour)
	for i := range cachesize/2 {
		cache.Put(keys[i], i)
	}

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.Put(keys[i], i)
			} else {
				cache.Get(keys[zipf.Uint64()])
			}
		}
	})
}

func BenchmarkLxzanSetGet(b *testing.B) {
	cache := lxzan.New[string, int](
		lxzan.WithBucketNum(shardcount),
		lxzan.WithBucketSize(cachesize/shardcount, cachesize/shardcount),
		lxzan.WithInterval(time.Hour, time.Hour),
	)
	for i := range cachesize/2 {
		cache.Set(keys[i], i, time.Hour)
	}

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.Set(keys[i], i, time.Hour)
			} else {
				cache.Get(keys[zipf.Uint64()])
			}
		}
	})
}

func hashStringXXHASH(s string) uint32 {
	return uint32(xxhash.Sum64String(s))
}

func BenchmarkFreelruSetGet(b *testing.B) {
	cache, _ := freelru.NewSharded[string, int](cachesize, hashStringXXHASH)
	for i := range cachesize/2 {
		cache.AddWithLifetime(keys[i], i, time.Hour)
	}

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.AddWithLifetime(keys[i], i, time.Hour)
			} else {
				cache.Get(keys[zipf.Uint64()])
			}
		}
	})
}

func BenchmarkPhusluSetGet(b *testing.B) {
	cache := phuslu.NewTTLCache[string, int](cachesize, phuslu.WithShards[string, int](uint32(shardcount)))
	for i := range cachesize/2 {
		cache.Set(keys[i], i, time.Hour)
	}

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.Set(keys[i], i, time.Hour)
			} else {
				cache.Get(keys[zipf.Uint64()])
			}
		}
	})
}

func BenchmarkNoTTLSetGet(b *testing.B) {
	cache := phuslu.NewLRUCache[string, int](cachesize, phuslu.WithShards[string, int](uint32(shardcount)))
	for i := range cachesize/2 {
		cache.Set(keys[i], i)
	}

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.Set(keys[i], i)
			} else {
				cache.Get(keys[zipf.Uint64()])
			}
		}
	})
}

func BenchmarkCcacheSetGet(b *testing.B) {
	cache := ccache.New(ccache.Configure[int]().MaxSize(cachesize).PercentToPrune(2))
	for i := range cachesize/2 {
		cache.Set(keys[i], i, time.Hour)
	}

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.Set(keys[i], i, time.Hour)
			} else {
				cache.Get(keys[zipf.Uint64()])
			}
		}
	})
}

func BenchmarkRistrettoSetGet(b *testing.B) {
	cache, _ := ristretto.NewCache(&ristretto.Config[string, int]{
		NumCounters: 10 * cachesize, // number of keys to track frequency of (10M).
		MaxCost:     cachesize,      // maximum cost of cache (1M).
		BufferItems: 64,             // number of keys per Get buffer.
	})
	for i := range cachesize/2 {
		cache.SetWithTTL(keys[i], i, 1, time.Hour)
	}

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.SetWithTTL(keys[i], i, 1, time.Hour)
			} else {
				cache.Get(keys[zipf.Uint64()])
			}
		}
	})
}

func BenchmarkTheineSetGet(b *testing.B) {
	cache, _ := theine.NewBuilder[string, int](cachesize).Build()
	for i := range cachesize/2 {
		cache.SetWithTTL(keys[i], i, 1, time.Hour)
	}

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.SetWithTTL(keys[i], i, 1, time.Hour)
			} else {
				cache.Get(keys[zipf.Uint64()])
			}
		}
	})
}

func BenchmarkOtterSetGet(b *testing.B) {
	cache := otter.Must[string, int](&otter.Options[string, int]{MaximumSize: cachesize, InitialCapacity: cachesize})
	for i := range cachesize/2 {
		cache.Set(keys[i], i)
		cache.SetExpiresAfter(keys[i], time.Hour)
	}

	b.ResetTimer()
	b.RunParallel(func(pb *testing.PB) {
		threshold := uint32(float64(^uint32(0)) * writeratio)
		cheaprand := &CheapRand{uint64(time.Now().UnixNano())}
		zipf := rand.NewZipf(rand.New(cheaprand), 1.0001, 10, cachesize-1)
		for pb.Next() {
			if threshold > 0 && cheaprand.Uint32() <= threshold {
				i := int(cheaprand.Uint32n(cachesize))
				cache.Set(keys[i], i)
				// cache.SetExpiresAfter(keys[i], time.Hour)
			} else {
				cache.GetEntry(keys[zipf.Uint64()])
			}
		}
	})
}

Run with 95% zipf reads and 5% randomly writes.

In github actions:

goos: linux
goarch: amd64
cpu: AMD EPYC 9V74 80-Core Processor                
BenchmarkHashicorpSetGet
BenchmarkHashicorpSetGet-8    	12710121	       498.5 ns/op	       1 B/op	       0 allocs/op
BenchmarkCloudflareSetGet
BenchmarkCloudflareSetGet-8   	40197817	       164.0 ns/op	      16 B/op	       1 allocs/op
BenchmarkEcacheSetGet
BenchmarkEcacheSetGet-8       	50372371	       125.9 ns/op	       1 B/op	       0 allocs/op
BenchmarkLxzanSetGet
BenchmarkLxzanSetGet-8        	49560567	       131.3 ns/op	       0 B/op	       0 allocs/op
BenchmarkFreelruSetGet
BenchmarkFreelruSetGet-8      	45481604	       134.2 ns/op	       0 B/op	       0 allocs/op
BenchmarkPhusluSetGet
BenchmarkPhusluSetGet-8       	69294555	        99.67 ns/op	       0 B/op	       0 allocs/op
BenchmarkNoTTLSetGet
BenchmarkNoTTLSetGet-8        	63600603	        96.89 ns/op	       0 B/op	       0 allocs/op
BenchmarkCcacheSetGet
BenchmarkCcacheSetGet-8       	15698938	       408.0 ns/op	      25 B/op	       2 allocs/op
BenchmarkRistrettoSetGet
BenchmarkRistrettoSetGet-8    	51207961	       120.6 ns/op	       8 B/op	       0 allocs/op
BenchmarkTheineSetGet
BenchmarkTheineSetGet-8       	36972397	       173.7 ns/op	       2 B/op	       0 allocs/op
BenchmarkOtterSetGet
BenchmarkOtterSetGet-8        	50816445	       125.3 ns/op	       2 B/op	       0 allocs/op
PASS
ok  	command-line-arguments	95.373s

Run with 50% zipf reads and 50% randomly writes.

In github actions:

goos: linux
goarch: amd64
cpu: AMD EPYC 9V74 80-Core Processor                
BenchmarkHashicorpSetGet
BenchmarkHashicorpSetGet-8    	 7554756	       860.6 ns/op	      19 B/op	       0 allocs/op
BenchmarkCloudflareSetGet
BenchmarkCloudflareSetGet-8   	24251788	       297.0 ns/op	      19 B/op	       1 allocs/op
BenchmarkEcacheSetGet
BenchmarkEcacheSetGet-8       	35366967	       165.8 ns/op	      11 B/op	       0 allocs/op
BenchmarkLxzanSetGet
BenchmarkLxzanSetGet-8        	36468183	       204.7 ns/op	       0 B/op	       0 allocs/op
BenchmarkFreelruSetGet
BenchmarkFreelruSetGet-8      	38325979	       178.6 ns/op	       0 B/op	       0 allocs/op
BenchmarkPhusluSetGet
BenchmarkPhusluSetGet-8       	50458717	       134.1 ns/op	       0 B/op	       0 allocs/op
BenchmarkNoTTLSetGet
BenchmarkNoTTLSetGet-8        	48443700	       129.6 ns/op	       0 B/op	       0 allocs/op
BenchmarkCcacheSetGet
BenchmarkCcacheSetGet-8       	 9978307	       679.4 ns/op	      78 B/op	       3 allocs/op
BenchmarkRistrettoSetGet
BenchmarkRistrettoSetGet-8    	37208272	       172.4 ns/op	      45 B/op	       0 allocs/op
BenchmarkTheineSetGet
BenchmarkTheineSetGet-8       	15435932	       405.6 ns/op	       7 B/op	       0 allocs/op
BenchmarkOtterSetGet
BenchmarkOtterSetGet-8        	20852547	       431.3 ns/op	      24 B/op	       0 allocs/op
PASS
ok  	command-line-arguments	104.895s

GC scan

The GC scan times as below. Check github gcscan action for more results and details.

GC scan times on keysize=16(string), valuesize=8(int), cachesize in (100000,200000,400000,1000000)
// env GODEBUG=gctrace=1 go run gcscan.go phuslu 1000000 
package main

import (
	"fmt"
	"os"
	"runtime"
	"runtime/debug"
	"strconv"
	"time"

	theine "github.com/Yiling-J/theine-go"
	"github.com/cespare/xxhash/v2"
	cloudflare "github.com/cloudflare/golibs/lrucache"
	ristretto "github.com/dgraph-io/ristretto/v2"
	freelru "github.com/elastic/go-freelru"
	hashicorp "github.com/hashicorp/golang-lru/v2/expirable"
	ccache "github.com/karlseguin/ccache/v3"
	lxzan "github.com/lxzan/memorycache"
	otter "github.com/maypok86/otter/v2"
	ecache "github.com/orca-zhang/ecache"
	phuslu "github.com/phuslu/lru"
)

const keysize = 16
var repeat, _ = strconv.Atoi(os.Getenv("repeat"))

var keys []string

func main() {
	name := os.Args[1]
	cachesize, _ := strconv.Atoi(os.Args[2])

	keys = make([]string, cachesize)
	for i := range cachesize {
		keys[i] = fmt.Sprintf(fmt.Sprintf("%%0%dd", keysize), i)
	}

	map[string]func(int){
		"nottl":      SetupNottl,
		"phuslu":     SetupPhuslu,
		"freelru":    SetupFreelru,
		"ristretto":  SetupRistretto,
		"otter":      SetupOtter,
		"lxzan":      SetupLxzan,
		"ecache":     SetupEcache,
		"cloudflare": SetupCloudflare,
		"ccache":     SetupCcache,
		"hashicorp":  SetupHashicorp,
		"theine":     SetupTheine,
	}[name](cachesize)
}

func SetupNottl(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache := phuslu.NewLRUCache[string, int](cachesize)
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.Set(keys[i], i)
		}
		runtime.GC()
	}
}

func SetupPhuslu(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache := phuslu.NewTTLCache[string, int](cachesize)
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.Set(keys[i], i, time.Hour)
		}
		runtime.GC()
	}
}

func SetupFreelru(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache, _ := freelru.NewSharded[string, int](uint32(cachesize), func(s string) uint32 { return uint32(xxhash.Sum64String(s)) })
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.AddWithLifetime(keys[i], i, time.Hour)
		}
		runtime.GC()
	}
}

func SetupOtter(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache := otter.Must[string, int](&otter.Options[string, int]{MaximumSize: cachesize, InitialCapacity: cachesize})
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.Set(keys[i], i)
			cache.SetExpiresAfter(keys[i], time.Hour)
		}
		runtime.GC()
	}
}

func SetupEcache(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache := ecache.NewLRUCache(1024, uint16(cachesize/1024), time.Hour)
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.Put(keys[i], i)
		}
		runtime.GC()
	}
}

func SetupRistretto(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache, _ := ristretto.NewCache(&ristretto.Config[string, int]{
		NumCounters: int64(10 * cachesize), // number of keys to track frequency of (10M).
		MaxCost:     int64(cachesize),      // maximum cost of cache (1M).
		BufferItems: 64,                    // number of keys per Get buffer.
	})
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.SetWithTTL(keys[i], i, 1, time.Hour)
		}
		runtime.GC()
	}
}

func SetupLxzan(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache := lxzan.New[string, int](
		lxzan.WithBucketNum(128),
		lxzan.WithBucketSize(cachesize/128, cachesize/128),
		lxzan.WithInterval(time.Hour, time.Hour),
	)
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.Set(keys[i], i, time.Hour)
		}
		runtime.GC()
	}
}

func SetupTheine(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache, _ := theine.NewBuilder[string, int](int64(cachesize)).Build()
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.SetWithTTL(keys[i], i, 1, time.Hour)
		}
		runtime.GC()
	}
}

func SetupCloudflare(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache := cloudflare.NewMultiLRUCache(1024, uint(cachesize/1024))
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.Set(keys[i], i, time.Now().Add(time.Hour))
		}
		runtime.GC()
	}
}

func SetupCcache(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache := ccache.New(ccache.Configure[int]().MaxSize(int64(cachesize)).PercentToPrune(2))
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.Set(keys[i], i, time.Hour)
		}
		runtime.GC()
	}
}

func SetupHashicorp(cachesize int) {
	defer debug.SetGCPercent(debug.SetGCPercent(-1))
	cache := hashicorp.NewLRU[string, int](cachesize, nil, time.Hour)
	runtime.GC()
	for range repeat {
		for i := range cachesize {
			cache.Add(keys[i], i)
		}
		runtime.GC()
	}
}
GCScan 100000 200000 400000 1000000
ristretto 1 ms 2 ms 3 ms 7 ms
nottl 1 ms 2 ms 4 ms 10 ms
phuslu 1 ms 2 ms 4 ms 10 ms
freelru 1 ms 2 ms 4 ms 13 ms
lxzan 1 ms 3 ms 6 ms 14 ms
otter 3 ms 6 ms 11 ms 31 ms
ecache 3 ms 6 ms 12 ms 34 ms
ccache 3 ms 7 ms 14 ms 38 ms
theine 4 ms 8 ms 16 ms 46 ms
cloudflare 4 ms 9 ms 18 ms 49 ms
hashicorp 5 ms 11 ms 23 ms 65 ms

Memory usage

The Memory usage result as below. Check github memory action for more results and details.

memory usage on keysize=16(string), valuesize=8(int), cachesize in (100000,200000,400000,1000000,2000000,4000000)
// memusage.go
package main

import (
	"fmt"
	"os"
	"runtime"
	"time"
	"strconv"

	theine "github.com/Yiling-J/theine-go"
	"github.com/cespare/xxhash/v2"
	cloudflare "github.com/cloudflare/golibs/lrucache"
	ristretto "github.com/dgraph-io/ristretto/v2"
	freelru "github.com/elastic/go-freelru"
	hashicorp "github.com/hashicorp/golang-lru/v2/expirable"
	ccache "github.com/karlseguin/ccache/v3"
	lxzan "github.com/lxzan/memorycache"
	otter "github.com/maypok86/otter/v2"
	ecache "github.com/orca-zhang/ecache"
	phuslu "github.com/phuslu/lru"
)

const keysize = 16

var keys []string

func main() {
	name := os.Args[1]
	cachesize, _ := strconv.Atoi(os.Args[2])

	keys = make([]string, cachesize)
	for i := range cachesize {
		keys[i] = fmt.Sprintf(fmt.Sprintf("%%0%dd", keysize), i)
	}

	var o runtime.MemStats
	runtime.ReadMemStats(&o)

	map[string]func(int){
		"nottl":      SetupNottl,
		"phuslu":     SetupPhuslu,
		"freelru":    SetupFreelru,
		"ristretto":  SetupRistretto,
		"otter":      SetupOtter,
		"lxzan":      SetupLxzan,
		"ecache":     SetupEcache,
		"cloudflare": SetupCloudflare,
		"ccache":     SetupCcache,
		"hashicorp":  SetupHashicorp,
		"theine":     SetupTheine,
	}[name](cachesize)

	var m runtime.MemStats
	runtime.ReadMemStats(&m)

	fmt.Printf("%s\t%d\t%v MB\t%v MB\t%v MB\n",
		name,
		cachesize,
		(m.Alloc-o.Alloc)/1048576,
		(m.TotalAlloc-o.TotalAlloc)/1048576,
		(m.Sys-o.Sys)/1048576,
	)
}

func SetupNottl(cachesize int) {
	cache := phuslu.NewLRUCache[string, int](cachesize)
	for i := range cachesize {
		cache.Set(keys[i], i)
	}
}

func SetupPhuslu(cachesize int) {
	cache := phuslu.NewTTLCache[string, int](cachesize)
	for i := range cachesize {
		cache.Set(keys[i], i, time.Hour)
	}
}

func SetupFreelru(cachesize int) {
	cache, _ := freelru.NewSharded[string, int](uint32(cachesize), func(s string) uint32 { return uint32(xxhash.Sum64String(s)) })
	for i := range cachesize {
		cache.AddWithLifetime(keys[i], i, time.Hour)
	}
}

func SetupOtter(cachesize int) {
	cache := otter.Must[string, int](&otter.Options[string, int]{MaximumSize: cachesize, InitialCapacity: cachesize})
	for i := range cachesize {
		cache.Set(keys[i], i)
		cache.SetExpiresAfter(keys[i], time.Hour)
	}
}

func SetupEcache(cachesize int) {
	cache := ecache.NewLRUCache(1024, uint16(cachesize/1024), time.Hour)
	for i := range cachesize {
		cache.Put(keys[i], i)
	}
}

func SetupRistretto(cachesize int) {
	cache, _ := ristretto.NewCache(&ristretto.Config[string, int]{
		NumCounters: int64(10 * cachesize), // number of keys to track frequency of (10M).
		MaxCost:     int64(cachesize),      // maximum cost of cache (1M).
		BufferItems: 64,             // number of keys per Get buffer.
	})
	for i := range cachesize {
		cache.SetWithTTL(keys[i], i, 1, time.Hour)
	}
}

func SetupLxzan(cachesize int) {
	cache := lxzan.New[string, int](
		lxzan.WithBucketNum(128),
		lxzan.WithBucketSize(cachesize/128, cachesize/128),
		lxzan.WithInterval(time.Hour, time.Hour),
	)
	for i := range cachesize {
		cache.Set(keys[i], i, time.Hour)
	}
}

func SetupTheine(cachesize int) {
	cache, _ := theine.NewBuilder[string, int](int64(cachesize)).Build()
	for i := range cachesize {
		cache.SetWithTTL(keys[i], i, 1, time.Hour)
	}
}

func SetupCloudflare(cachesize int) {
	cache := cloudflare.NewMultiLRUCache(1024, uint(cachesize/1024))
	for i := range cachesize {
		cache.Set(keys[i], i, time.Now().Add(time.Hour))
	}
}

func SetupCcache(cachesize int) {
	cache := ccache.New(ccache.Configure[int]().MaxSize(int64(cachesize)).PercentToPrune(2))
	for i := range cachesize {
		cache.Set(keys[i], i, time.Hour)
	}
}

func SetupHashicorp(cachesize int) {
	cache := hashicorp.NewLRU[string, int](cachesize, nil, time.Hour)
	for i := range cachesize {
		cache.Add(keys[i], i)
	}
}
100000 200000 400000 1000000 2000000 4000000
nottl 3 MB 6 MB 13 MB 38 MB 77 MB 154 MB
phuslu 4 MB 8 MB 16 MB 46 MB 92 MB 185 MB
ristretto 8 MB 12 MB 28 MB 79 MB 152 MB 292 MB
otter 7 MB 14 MB 28 MB 79 MB 158 MB 314 MB
lxzan 8 MB 17 MB 35 MB 101 MB 202 MB 403 MB
freelru 6 MB 13 MB 27 MB 112 MB 224 MB 448 MB
ecache 11 MB 22 MB 45 MB 128 MB 256 MB 505 MB
theine 14 MB 28 MB 58 MB 156 MB 314 MB 620 MB
ccache 14 MB 29 MB 59 MB 161 MB 329 MB 658 MB
cloudflare 15 MB 31 MB 62 MB 180 MB 352 MB 705 MB
hashicorp 16 MB 27 MB 55 MB 228 MB 455 MB 910 MB
  • nottl is the phuslu/lru version without ttl functionality, resulting in 20% memory saving and a slight increase in throughput.

Hit ratio

It is a classic sharded LRU implementation, so the hit ratio is comparable to or slightly lower than a regular LRU.

License

LRU is licensed under the MIT License. See the LICENSE file for details.

Contact

For inquiries or support, contact phus.lu@gmail.com or raise github issues.

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