use std::time::Duration;
use criterion::{criterion_group, criterion_main, BatchSize, Criterion};
use mlua::prelude::*;
fn collect_gc_twice(lua: &Lua) {
lua.gc_collect().unwrap();
lua.gc_collect().unwrap();
}
fn encode_json(c: &mut Criterion) {
let lua = Lua::new();
let encode = lua
.create_function(|_, t: LuaValue| Ok(serde_json::to_string(&t).unwrap()))
.unwrap();
let table = lua
.load(
r#"{
name = "Clark Kent",
address = {
city = "Smallville",
state = "Kansas",
country = "USA",
},
age = 22,
parents = {"Jonathan Kent", "Martha Kent"},
superman = true,
interests = {"flying", "saving the world", "kryptonite"},
}"#,
)
.eval::<LuaTable>()
.unwrap();
c.bench_function("serialize json", |b| {
b.iter_batched(
|| collect_gc_twice(&lua),
|_| {
encode.call::<LuaString>(&table).unwrap();
},
BatchSize::SmallInput,
);
});
}
fn decode_json(c: &mut Criterion) {
let lua = Lua::new();
let decode = lua
.create_function(|lua, s: String| {
lua.to_value(&serde_json::from_str::<serde_json::Value>(&s).unwrap())
})
.unwrap();
let json = r#"{
"name": "Clark Kent",
"address": {
"city": "Smallville",
"state": "Kansas",
"country": "USA"
},
"age": 22,
"parents": ["Jonathan Kent", "Martha Kent"],
"superman": true,
"interests": ["flying", "saving the world", "kryptonite"]
}"#;
c.bench_function("deserialize json", |b| {
b.iter_batched(
|| collect_gc_twice(&lua),
|_| {
decode.call::<LuaTable>(json).unwrap();
},
BatchSize::SmallInput,
);
});
}
criterion_group! {
name = benches;
config = Criterion::default()
.sample_size(500)
.measurement_time(Duration::from_secs(10))
.noise_threshold(0.02);
targets =
encode_json,
decode_json,
}
criterion_main!(benches);