phuslu / lru

High performance LRU cache

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a high-performance and gc-friendly LRU cache

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Features

  • Simple
    • No Dependencies.
    • Straightforward API and codes.
  • Fast
    • Outperforms well-known LRU caches.
    • Zero memory allocations .
  • GC friendly
    • Pointerless data structs.
    • Continuous memory layout.
  • Memory efficient
    • Adds only 26 extra bytes per cache item.
    • Minimized memory usage compared to others.
  • Feature optional
    • Using SlidingCache via WithSliding(true) option.
    • Create LoadingCache via WithLoader(func(key K) (v V, ttl time.Duration, err error)) option.

Limitation

  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

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

go1.22 benchmark on keysize=16, itemsize=1000000, cachesize=50%, concurrency=8
// env writeratio=0.1 zipfian=false 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"
	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"
	ecache "github.com/orca-zhang/ecache"
	phuslu "github.com/phuslu/lru"
	"github.com/aclements/go-perfevent/perfbench"
)

const (
	keysize   = 16
	cachesize = 1000000
)

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

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 := 0; i < cachesize; i++ {
		x[i] = fmt.Sprintf("%x", sha1.Sum([]byte(fmt.Sprint(i))))[:keysize]
	}
	return
}()

func BenchmarkHashicorpSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache := hashicorp.NewLRU[string, int](cachesize, nil, time.Hour)
	for i := 0; i < cachesize/2; i++ {
		cache.Add(keys[i], i)
	}

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

func BenchmarkCloudflareSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache := cloudflare.NewMultiLRUCache(uint(shardcount), uint(cachesize/shardcount))
	for i := 0; i < cachesize/2; i++ {
		cache.Set(keys[i], i, time.Now().Add(time.Hour))
	}
	expires := time.Now().Add(time.Hour)

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

func BenchmarkEcacheSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache := ecache.NewLRUCache(uint16(shardcount), uint16(cachesize/shardcount), time.Hour)
	for i := 0; i < cachesize/2; i++ {
		cache.Put(keys[i], i)
	}

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

func BenchmarkLxzanSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache := lxzan.New[string, int](
		lxzan.WithBucketNum(shardcount),
		lxzan.WithBucketSize(cachesize/shardcount, cachesize/shardcount),
		lxzan.WithInterval(time.Hour, time.Hour),
	)
	for i := 0; i < cachesize/2; i++ {
		cache.Set(keys[i], i, time.Hour)
	}

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

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

func BenchmarkFreelruSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache, _ := freelru.NewSharded[string, int](cachesize, hashStringXXHASH)
	for i := 0; i < cachesize/2; i++ {
		cache.AddWithLifetime(keys[i], i, time.Hour)
	}

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

func BenchmarkPhusluSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache := phuslu.NewTTLCache[string, int](cachesize, phuslu.WithShards[string, int](uint32(shardcount)))
	for i := 0; i < cachesize/2; i++ {
		cache.Set(keys[i], i, time.Hour)
	}

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

func BenchmarkNoTTLSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache := phuslu.NewLRUCache[string, int](cachesize, phuslu.WithShards[string, int](uint32(shardcount)))
	for i := 0; i < cachesize/2; i++ {
		cache.Set(keys[i], i)
	}

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

func BenchmarkCcacheSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache := ccache.New(ccache.Configure[int]().MaxSize(cachesize).ItemsToPrune(100))
	for i := 0; i < cachesize/2; i++ {
		cache.Set(keys[i], i, time.Hour)
	}

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

func BenchmarkRistrettoSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache, _ := ristretto.NewCache(&ristretto.Config{
		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 := 0; i < cachesize/2; i++ {
		cache.SetWithTTL(keys[i], i, 1, time.Hour)
	}

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

func BenchmarkTheineSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache, _ := theine.NewBuilder[string, int](cachesize).Build()
	for i := 0; i < cachesize/2; i++ {
		cache.SetWithTTL(keys[i], i, 1, time.Hour)
	}

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

func BenchmarkOtterSetGet(b *testing.B) {
	c := perfbench.Open(b)
	cache, _ := otter.MustBuilder[string, int](cachesize).WithVariableTTL().Build()
	for i := 0; i < cachesize/2; i++ {
		cache.Set(keys[i], i, time.Hour)
	}

	b.ResetTimer()
	c.Reset()
	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 if zipfian {
				cache.Get(keys[zipf.Uint64()])
			} else {
				cache.Get(keys[cheaprand.Uint32n(cachesize)])
			}
		}
	})
}

with randomly read (90%) and randomly write(10%)

goos: linux
goarch: amd64
cpu: AMD EPYC 7763 64-Core Processor                
BenchmarkHashicorpSetGet
BenchmarkHashicorpSetGet-8    	13146066	       553.3 ns/op	      11 B/op	       0 allocs/op
BenchmarkCloudflareSetGet
BenchmarkCloudflareSetGet-8   	36612316	       208.6 ns/op	      16 B/op	       1 allocs/op
BenchmarkEcacheSetGet
BenchmarkEcacheSetGet-8       	47435138	       138.0 ns/op	       2 B/op	       0 allocs/op
BenchmarkLxzanSetGet
BenchmarkLxzanSetGet-8        	48343774	       153.5 ns/op	       0 B/op	       0 allocs/op
BenchmarkFreelruSetGet
BenchmarkFreelruSetGet-8      	56105211	       137.8 ns/op	       0 B/op	       0 allocs/op
BenchmarkPhusluSetGet
BenchmarkPhusluSetGet-8       	66522236	       114.7 ns/op	       0 B/op	       0 allocs/op
BenchmarkCcacheSetGet
BenchmarkCcacheSetGet-8       	21252092	       369.4 ns/op	      34 B/op	       2 allocs/op
BenchmarkRistrettoSetGet
BenchmarkRistrettoSetGet-8    	35511078	       152.7 ns/op	      29 B/op	       1 allocs/op
BenchmarkTheineSetGet
BenchmarkTheineSetGet-8       	21374548	       311.4 ns/op	       5 B/op	       0 allocs/op
BenchmarkOtterSetGet
BenchmarkOtterSetGet-8        	51896601	       159.1 ns/op	       8 B/op	       0 allocs/op
PASS
ok  	command-line-arguments	113.829s

with zipfian read (99%) and randomly write(1%)

goos: linux
goarch: amd64
cpu: AMD EPYC 7763 64-Core Processor                
BenchmarkHashicorpSetGet
BenchmarkHashicorpSetGet-8    	14631464	       418.5 ns/op	       0 B/op	       0 allocs/op
BenchmarkCloudflareSetGet
BenchmarkCloudflareSetGet-8   	48996306	       129.3 ns/op	      16 B/op	       1 allocs/op
BenchmarkEcacheSetGet
BenchmarkEcacheSetGet-8       	61667361	       101.6 ns/op	       0 B/op	       0 allocs/op
BenchmarkLxzanSetGet
BenchmarkLxzanSetGet-8        	59331700	        99.66 ns/op	       0 B/op	       0 allocs/op
BenchmarkFreelruSetGet
BenchmarkFreelruSetGet-8      	57392088	       113.7 ns/op	       0 B/op	       0 allocs/op
BenchmarkPhusluSetGet
BenchmarkPhusluSetGet-8       	78875428	        81.73 ns/op	       0 B/op	       0 allocs/op
BenchmarkCcacheSetGet
BenchmarkCcacheSetGet-8       	23366601	       270.9 ns/op	      21 B/op	       2 allocs/op
BenchmarkRistrettoSetGet
BenchmarkRistrettoSetGet-8    	44893608	       114.3 ns/op	      20 B/op	       1 allocs/op
BenchmarkTheineSetGet
BenchmarkTheineSetGet-8       	32717158	       172.2 ns/op	       0 B/op	       0 allocs/op
BenchmarkOtterSetGet
BenchmarkOtterSetGet-8        	70170547	        85.62 ns/op	       1 B/op	       0 allocs/op
PASS
ok  	command-line-arguments	96.989s

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"
	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"
	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 := 0; i < cachesize; i++ {
		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 := 0; i < cachesize; i++ {
		cache.Set(keys[i], i)
	}
}

func SetupPhuslu(cachesize int) {
	cache := phuslu.NewTTLCache[string, int](cachesize)
	for i := 0; i < cachesize; i++ {
		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 := 0; i < cachesize; i++ {
		cache.AddWithLifetime(keys[i], i, time.Hour)
	}
}

func SetupOtter(cachesize int) {
	cache, _ := otter.MustBuilder[string, int](cachesize).WithVariableTTL().Build()
	for i := 0; i < cachesize; i++ {
		cache.Set(keys[i], i, time.Hour)
	}
}

func SetupEcache(cachesize int) {
	cache := ecache.NewLRUCache(1024, uint16(cachesize/1024), time.Hour)
	for i := 0; i < cachesize; i++ {
		cache.Put(keys[i], i)
	}
}

func SetupRistretto(cachesize int) {
	cache, _ := ristretto.NewCache(&ristretto.Config{
		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 := 0; i < cachesize; i++ {
		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 := 0; i < cachesize; i++ {
		cache.Set(keys[i], i, time.Hour)
	}
}

func SetupTheine(cachesize int) {
	cache, _ := theine.NewBuilder[string, int](int64(cachesize)).Build()
	for i := 0; i < cachesize; i++ {
		cache.SetWithTTL(keys[i], i, 1, time.Hour)
	}
}

func SetupCloudflare(cachesize int) {
	cache := cloudflare.NewMultiLRUCache(1024, uint(cachesize/1024))
	for i := 0; i < cachesize; i++ {
		cache.Set(keys[i], i, time.Now().Add(time.Hour))
	}
}

func SetupCcache(cachesize int) {
	cache := ccache.New(ccache.Configure[int]().MaxSize(int64(cachesize)).ItemsToPrune(100))
	for i := 0; i < cachesize; i++ {
		cache.Set(keys[i], i, time.Hour)
	}
}

func SetupHashicorp(cachesize int) {
	cache := hashicorp.NewLRU[string, int](cachesize, nil, time.Hour)
	for i := 0; i < cachesize; i++ {
		cache.Add(keys[i], i)
	}
}
100000 200000 400000 1000000 2000000 4000000
nottl* 3 MB 7 MB 13 MB 39 MB 78 MB 155 MB
phuslu 4 MB 8 MB 16 MB 46 MB 93 MB 185 MB
lxzan 8 MB 17 MB 35 MB 95 MB 190 MB 379 MB
ristretto* 14 MB 15 MB 34 MB 89 MB 213 MB 412 MB
otter 13 MB 22 MB 54 MB 104 MB 209 MB 419 MB
freelru* 6 MB 14 MB 27 MB 112 MB 224 MB 448 MB
ecache 11 MB 22 MB 44 MB 123 MB 238 MB 468 MB
theine 15 MB 31 MB 62 MB 178 MB 357 MB 714 MB
cloudflare 15 MB 33 MB 64 MB 183 MB 358 MB 717 MB
ccache 16 MB 33 MB 65 MB 183 MB 365 MB 730 MB
hashicorp 18 MB 37 MB 57 MB 242 MB 484 MB 968 MB
  • nottl saves 20% memory usage compared to phuslu by removing its ttl functionality, resulting in a slight increase in throughput.
  • ristretto employs a questionable usage pattern due to its rejection of items via a bloom filter, resulting in a lower hit ratio.
  • freelru overcommits the cache size to the next power of 2, leading to higher memory usage particularly at larger cache sizes.

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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High performance LRU cache

License:MIT License


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Language:Go 100.0%