Why is ristretto using so much memory? about ristretto

[caofengl]

I used ristretto in our company's project, and I really need help!

[caofengl]

Can the author help give the correct code example(use 200M memory)? My English is very poor, thank you very much!

[caofengl]

package main

import (
	"fmt"
	"math/rand"
	"strconv"
	"sync"
	"time"

	"github.com/dgraph-io/ristretto"
)

const (
	maxLoop = 1e8
	maxCnt  = 1e7
)

func main() {
	cost := int64(100 * 1024 * 1024)
	cache, err := ristretto.NewCache(&ristretto.Config{
		NumCounters: cost / 8,
		MaxCost:     cost / 88,  // key+value size
		BufferItems: 64,
	})

	if err != nil {
		panic(err)
	}

	key := `def48b5abb6388d3cbbb18e550f47b4cYB6eRI3cK1VN2qCEHp8kvuMuH20dq10cYDcG2e

	var wg sync.WaitGroup
 
	for i := 0; i < maxLoop/maxCnt; i++ {
		wg.Add(1)
		go func() {
			now := time.Now()
			for i := 0; i < maxCnt; i++ {
				val := strconv.Itoa(rand.Intn(maxCnt))
				cache.Set(key+val, val, 1)
			}
			fmt.Println(time.Since(now).Seconds())
			wg.Done()
		}()
	}
	wg.Wait()

	cnt := 0
	now := time.Now()
	for i := 0; i < maxCnt; i++ {
		_, found := cache.Get(key + strconv.Itoa(i))
		if found {
			cnt++
		}
	}
	fmt.Println(time.Since(now).Seconds())
	fmt.Println(cnt)
	time.Sleep(10 * 60 * time.Second)
}

write
196.145246674
196.594516091
198.114088657
198.93801043
201.966241441
202.236675922
204.914710305
204.955456302
205.115802574
205.308419901
read
24.981067788
count
1191525

[caofengl]

package main

import (
	"fmt"
	"math/rand"
	"strconv"
	"sync"
	"time"

	"github.com/coocood/freecache"
)

const (
	maxLoop = 1e8
	maxCnt  = 1e7
)

func main() {
	cacheSize := 100 * 1024 * 1024 // 1GB
	cache := freecache.NewCache(cacheSize)
	expire := 60 * 60 // expire in 60 seconds

	key := `def48b5abb6388d3cbbb18e550f47b4cYB6eRI3cK1VN2qCEHp8kvuMuH20dq10cYDcG2e

	var wg sync.WaitGroup
	for i := 0; i < maxLoop/maxCnt; i++ {
		wg.Add(1)
		go func() {
			now := time.Now()
			for i := 0; i < maxCnt; i++ {
				val := strconv.Itoa(rand.Intn(maxCnt))
				cache.Set([]byte(key+val), []byte(val), expire)
			}
			fmt.Println(time.Since(now).Seconds())
			wg.Done()
		}()
	}
	wg.Wait()

	cnt := 0
	now := time.Now()
	for i := 0; i < maxCnt; i++ {
		_, err := cache.Get([]byte(key + strconv.Itoa(i)))
		if err == nil {
			cnt++
		}
	}
	fmt.Println(time.Since(now).Seconds())
	fmt.Println("entry count ", cnt, cache.EntryCount())
	time.Sleep(10 * 60 * time.Second)
}
write
143.327503682
144.094319665
144.148188694
145.014152054
145.317289531
146.429781022
146.803659841
146.842320393
146.899385914
146.907347694
read
9.807717003
count
entry count  868063 868063

[caofengl]

memory contrash
freecache: 300M // keep 300M
ristretto: 1.7G        // up to 1.7G,  time.Sleep(10 * 60 * time.Second) -> 660M

[martinmr]

Hi.

Sorry for not answering your question more promptly. We have been at work trying to release Dgraph 2.0.0.

I am not really sure why the differences in memory exist but I suspect you might have run into the bug described in #107.

The key in your examples are very big so if they escape to the heap they will use a lot more memory. For now, I suggest using smaller keys (uint64 for example).

[minhaj-shakeel]

Re-open the issue to test github-issue porting task.

[minhaj-shakeel]

Github issues have been deprecated.
This issue has been moved to discuss. You can follow the conversation there and also subscribe to updates by changing your notification preferences.