#cache #lru #distributed

xfetch

Optimal probabilistic cache refresh algorithm

3 releases (stable)

1.0.1 Jul 15, 2020
1.0.0 Nov 16, 2019
0.1.0 Jun 22, 2019

#220 in Caching

25 downloads per month

MIT/Apache

19KB
136 lines

xfetch-rs

Documentation Crates.io Test

About

Rust crate for Optimal Probabilistic Cache Stampede Prevention aka XFetch algorithm

It can be used in conjunction with cache containers like LRU cache to implement cache expiration and re-computation in parallel environment like multi-thread / multi-process computing.

It is very efficient because the algorithm does not need coordination (no locks) between processes.

Examples

Create a single cache entry and test it's expiration:

# struct SomeValue { value: u64, ttl: u64 };
# fn expensive_computation() -> SomeValue { SomeValue { value: 42, ttl: 10000 } }
use xfetch::CacheEntry;
use std::time::Duration;

let entry = CacheEntry::builder(|| {
    expensive_computation()
})
.with_ttl(|value| {
    Duration::from_millis(value.ttl)
})
.build();

assert!(!entry.is_expired());

The CacheEntry can be used with any cache library. For example the lru crate:

use lru::LruCache;
use xfetch::CacheEntry;
use std::time::Duration;

struct SomeValue {
    value: u64,
    ttl: u64
};

fn recompute_value(n: u64) -> SomeValue {
    SomeValue { value: n, ttl: 10000 }
}

fn main() {
    let mut cache = LruCache::new(2);

    cache.put("apple", CacheEntry::builder(|| recompute_value(3))
        .with_ttl(|v| Duration::from_millis(v.ttl))
        .build());
    cache.put("banana", CacheEntry::builder(|| recompute_value(2))
        .with_ttl(|v| Duration::from_millis(v.ttl))
        .build());

    if let Some(entry) = cache.get(&"apple") {
        if !entry.is_expired() {
            assert_eq!(entry.get().value, 3);
        } else {
            cache.put("apple", CacheEntry::builder(|| recompute_value(3))
                .with_ttl(|v| Duration::from_millis(v.ttl))
                .build());
        }
    }
}

Plot showing the simulated probability of early expiration of different system:

Probability Plot

References

License

Licensed under either of

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

Dependencies

~525KB