2 releases

0.4.0-alpha.5 Mar 6, 2023
0.4.0-alpha.4 Feb 6, 2023
0.4.0-alpha.2 Feb 1, 2023

#364 in Caching

37 downloads per month
Used in 3 crates

MIT/Apache

60KB
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Basteh



Note The main branch includes many breaking changes, switch to v0.3 branch for the released version.


Basteh(previously actix-storage) is a type erased wrapper around some key-value storages to provide common operations.

Install

Basteh is meant to be used alongside one the implementer crates, ex:

# Cargo.toml
[dependencies]
basteh = "0.4.0-alpha.5"
basteh-memory = "0.4.0-alpha.5"

Usage

After you picked a backend:

use basteh::{Basteh, BastehError};
use basteh_memory::MemoryBackend;

async fn handler() -> Result<String, BastehError> {
   // Intialize the implementer according to its docs
   let store = MemoryBackend::start_default();

   // Give it to the Storage struct
   let basteh = Basteh::build().store(store).finish();

   // Set a key, value can be stringy, bytes or numbers
   basteh.set("key", "value").await;

   // And make it expire after 5 seconds
   basteh.expire("key", Duration::from_secs(5)).await;

   // Or just do both in one command(usually faster)
   basteh.set_expiring("key", "value", Duration::from_secs(5)).await;

   basteh.get::<String>("key").await
}

Implementations

basteh-memory docs.rs docs

basteh-redb docs.rs docs

basteh-redis docs.rs docs

There is also an implementation based on sled, but because of sled's situation, it has not been released to crates.io

What does basteh mean?

The word basteh is persian for box/package, that simple! Does it sound like some other words in english? sure! But I'm bad at naming packages and my other option was testorage as in type-erased storage... so... basteh is cool.

Use cases

The main idea for having a kv storage around while developing applications, came from my love for django framework and how it makes your life easier. There is a cache framework in django that does just that! Basteh is a bit more, it is not just for a cache but also for persistent values which is why there will always be some persistent implementations around.

Although it is designed to work with small, mostly temporary data, I don't have any plans to make it less effecient for other workflows, and pull requests are always welcome.

It can be usefull when:

  1. You don't know which key-value database you'll need later.
  2. You can't afford the long time compilation of some dbs while developing.
    • memory store compiles pretty fast
  3. You're writing an extension library and need to support multiple storage backends.

Examples

There are bunch of examples in the examples folder, very basic ones thought, but it will give you the idea.

License

This project is licensed under either of

at your option.

Dependencies

~0.5–2.2MB
~42K SLoC