Crates.io | rkyv_derive |
lib.rs | rkyv_derive |
version | 0.8.9 |
source | src |
created_at | 2020-11-11 16:14:18.106933 |
updated_at | 2024-11-25 15:48:41.533737 |
description | Derive macro for rkyv |
homepage | |
repository | https://github.com/rkyv/rkyv |
max_upload_size | |
id | 311283 |
size | 124,760 |
rkyv (archive) is a zero-copy deserialization framework for Rust
use rkyv::{deserialize, rancor::Error, Archive, Deserialize, Serialize};
#[derive(Archive, Deserialize, Serialize, Debug, PartialEq)]
#[rkyv(
// This will generate a PartialEq impl between our unarchived
// and archived types
compare(PartialEq),
// Derives can be passed through to the generated type:
derive(Debug),
)]
struct Test {
int: u8,
string: String,
option: Option<Vec<i32>>,
}
fn main() {
let value = Test {
int: 42,
string: "hello world".to_string(),
option: Some(vec![1, 2, 3, 4]),
};
// Serializing is as easy as a single function call
let _bytes = rkyv::to_bytes::<Error>(&value).unwrap();
// Or you can customize your serialization for better performance or control
// over resource usage
use rkyv::{api::high::to_bytes_with_alloc, ser::allocator::Arena};
let mut arena = Arena::new();
let bytes =
to_bytes_with_alloc::<_, Error>(&value, arena.acquire()).unwrap();
// You can use the safe API for fast zero-copy deserialization
let archived = rkyv::access::<ArchivedTest, Error>(&bytes[..]).unwrap();
assert_eq!(archived, &value);
// Or you can use the unsafe API for maximum performance
let archived =
unsafe { rkyv::access_unchecked::<ArchivedTest>(&bytes[..]) };
assert_eq!(archived, &value);
// And you can always deserialize back to the original type
let deserialized = deserialize::<Test, Error>(archived).unwrap();
assert_eq!(deserialized, value);
}
Note: the safe API requires the bytecheck
feature (enabled by default)
Read more about available features.
Thanks to all the sponsors that keep development sustainable. Special thanks to the following sponsors for going above and beyond supporting rkyv:
Climatiq provides an embedded carbon intelligence solution that enables developers to automate GHG emission calculations based on verified scientific models. Its suite of products includes the largest dataset of emission factors, and intelligent APIs that integrate with any software platform for real time monitoring of greenhouse gas emissions.