asun 1.0.1

ASUN (Array-Schema Unified Notation) - A high-performance, token-efficient serde data format with schema-data separation
Documentation

asun

Crates.io Documentation License: MIT

Rust support for ASUN, a schema-driven format for compact structured data with serde-based encoding and decoding.

中文文档

Why ASUN?

json

Standard JSON repeats every field name in every record. When you send structured data to an LLM, over an API, or across services, that repetition wastes tokens, bytes, and attention:

[
  { "id": 1, "name": "Alice", "active": true },
  { "id": 2, "name": "Bob", "active": false },
  { "id": 3, "name": "Carol", "active": true }
]

asun

ASUN declares the schema once and streams data as compact tuples:

[{id, name, active}]:
  (1,Alice,true),
  (2,Bob,false),
  (3,Carol,true)

Fewer tokens. Smaller payloads. Clearer structure, and faster parsing than repeated-object JSON.


Highlights

  • Serde-based text encoding and decoding
  • Current API uses encode / decode, not the older to_string / from_str names
  • Optional scalar-hint schema output
  • Pretty text output and binary format
  • Works well for structs, vectors, options, enums, nested data, and entry-list based keyed collections

Install

[dependencies]
asun = "*"
serde = { version = "1", features = ["derive"] }

Quick Start

use asun::{decode, encode, encode_typed};
use serde::{Deserialize, Serialize};

#[derive(Debug, Serialize, Deserialize, PartialEq)]
struct User {
    id: i64,
    name: String,
    active: bool,
}

fn main() -> asun::Result<()> {
    let user = User { id: 1, name: "Alice".into(), active: true };

    let text = encode(&user)?;
    let typed = encode_typed(&user)?;
    let decoded: User = decode(&text)?;

    assert_eq!(decoded.id, 1);
    assert_eq!(typed, "{id@int,name@str,active@bool}:(1,Alice,true)");
    Ok(())
}

Encode a vector

let users = vec![
    User { id: 1, name: "Alice".into(), active: true },
    User { id: 2, name: "Bob".into(), active: false },
];

let text = encode(&users)?;
let typed = encode_typed(&users)?;
let decoded: Vec<User> = decode(&text)?;

Pretty and binary output

use asun::{decode_binary, encode_binary, encode_pretty, encode_pretty_typed};

let pretty = encode_pretty(&users)?;
let pretty_typed = encode_pretty_typed(&users)?;
let bin = encode_binary(&users)?;
let decoded: Vec<User> = decode_binary(&bin)?;

Current API

Function Purpose
encode / encode_typed Encode to text
decode Decode from text
encode_pretty / encode_pretty_typed Pretty text output
encode_binary Encode to binary
decode_binary Decode from binary

Run Examples

cargo test
cargo run --example basic
cargo run --example complex
cargo run --example bench

Contributors

Benchmark Snapshot

Run the benchmark example with:

cargo run --example bench --release

The Rust benchmark now uses the same two-line summary style as the Go example:

Flat struct × 1000 (8 fields, vec)
  Serialize:   JSON   411.05ms /   121675 B | ASUN   175.25ms (2.3x) /    56718 B (46.6%) | BIN    41.32ms (9.9x) /    74454 B (61.2%)
  Deserialize: JSON   287.06ms | ASUN   195.57ms (1.5x) | BIN    64.62ms (4.4x)

ASUN / BIN ratios are measured against JSON, and size percentages show the remaining size relative to JSON.

License

MIT