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FreeCache - A cache library for Go with zero GC overhead and high concurrent performance.

Long lived objects in memory introduce expensive GC overhead, With FreeCache, you can cache unlimited number of objects in memory without increased latency and degraded throughput.

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Features

Performance

Here is the benchmark result compares to built-in map, Set performance is about 2x faster than built-in map, Get performance is about 1/2x slower than built-in map. Since it is single threaded benchmark, in multi-threaded environment, FreeCache should be many times faster than single lock protected built-in map.

BenchmarkCacheSet        3000000               446 ns/op
BenchmarkMapSet          2000000               861 ns/op
BenchmarkCacheGet        3000000               517 ns/op
BenchmarkMapGet         10000000               212 ns/op

Example Usage

// In bytes, where 1024 * 1024 represents a single Megabyte, and 100 * 1024*1024 represents 100 Megabytes.
cacheSize := 100 * 1024 * 1024
cache := freecache.NewCache(cacheSize)
debug.SetGCPercent(20)
key := []byte("abc")
val := []byte("def")
expire := 60 // expire in 60 seconds
cache.Set(key, val, expire)
got, err := cache.Get(key)
if err != nil {
    fmt.Println(err)
} else {
    fmt.Printf("%s\n", got)
}
affected := cache.Del(key)
fmt.Println("deleted key ", affected)
fmt.Println("entry count ", cache.EntryCount())

Notice

How it is done

FreeCache avoids GC overhead by reducing the number of pointers. No matter how many entries stored in it, there are only 512 pointers. The data set is sharded into 256 segments by the hash value of the key. Each segment has only two pointers, one is the ring buffer that stores keys and values, the other one is the index slice which used to lookup for an entry. Each segment has its own lock, so it supports high concurrent access.

TODO

License

The MIT License