Crates.io | kash |
lib.rs | kash |
version | 0.5.0 |
source | src |
created_at | 2024-10-14 12:12:09.350099 |
updated_at | 2024-10-28 15:00:03.284463 |
description | Function and method cache and memoization |
homepage | |
repository | https://github.com/omid/kash |
max_upload_size | |
id | 1408232 |
size | 162,678 |
Function and method cache and memoization library for Rust, using #[kash]
macro.
use kash::kash;
/// Defines a function named `fib` that uses a cache implicitly named `FIB`.
/// By default, the cache will be the function's name in all caps.
#[kash]
fn fib(n: u64) -> u64 {
if n == 0 || n == 1 { return n }
fib(n-1) + fib(n-2)
}
Or if you want to limit the size and time-to-live:
use kash::kash;
const TTL: u64 = 1000;
#[kash(size = "100", ttl = "TTL")]
fn fib(n: u64) -> u64 {
if n == 0 || n == 1 { return n }
fib(n-1) + fib(n-2)
}
default
: Includes ahash
feature.ahash
: Enable ahash
hasher as default hashing algorithm.async
: Include support for async functions.redis_store
: Include Redis cache store.redis_tokio
: Include async Redis support using tokio
and tokio
tls support, implies redis_store
and async
.redis_connection_manager
: Enable the optional connection-manager
feature of redis
. Any async redis caches created
will use a connection manager instead of a MultiplexedConnection
.redis_ahash
: Enable the optional ahash
feature of redis
.disk_store
: Include disk cache store.use std::thread::sleep;
use std::time::Duration;
use kash::kash;
/// Use an explicit cache-type with a custom creation block and custom cache-key generating block
#[kash(
size = "100",
key(ty = "String", expr = r#"{ format!("{}{}", a, b) }"#)
)]
fn keyed(a: &str, b: &str) -> usize {
let size = a.len() + b.len();
sleep(Duration::new(size as u64, 0));
size
}
use kash::{kash, RedisCacheError};
use kash::AsyncRedisCache;
use thiserror::Error;
#[derive(Error, Debug, PartialEq, Clone)]
enum ExampleError {
#[error("error with redis cache `{0}`")]
RedisError(String),
}
impl From<RedisCacheError> for ExampleError {
fn from(e: RedisCacheError) -> Self {
ExampleError::RedisError(format!("{:?}", e))
}
}
/// Cache the results of an async function in redis. Cache
/// keys will be prefixed with `cache_redis_prefix`.
#[kash(redis)]
async fn async_kash_sleep_secs(secs: u64) -> Result<String, ExampleError> {
std::thread::sleep(std::time::Duration::from_secs(secs));
Ok(secs.to_string())
}
use kash::{kash, DiskCacheError};
use kash::DiskCache;
use thiserror::Error;
#[derive(Error, Debug, PartialEq, Clone)]
enum ExampleError {
#[error("error with disk cache `{0}`")]
DiskError(String),
}
impl From<DiskCacheError> for ExampleError {
fn from(e: DiskCacheError) -> Self {
ExampleError::DiskError(format!("{:?}", e))
}
}
/// Cache the results of a function on disk.
/// Cache files will be stored under the system cache dir
/// unless otherwise specified with `dir` or the `create` argument.
#[kash(disk)]
fn kash_sleep_secs(secs: u64) -> Result<String, ExampleError> {
std::thread::sleep(std::time::Duration::from_secs(secs));
Ok(secs.to_string())
}
Functions defined via macros will have their result, cached using the function's arguments as a key by default.
When a macro-defined function is called, the function's cache is first checked for an already computed (and still valid) value before evaluating the function body.
See examples
directory for more examples.
MIT