irevoire

#[derive(Debug)]
pub struct Machin {
    pub s: String,
    pub a: String,
}

fn main() {
    let machin = Machin { s: String::from("s"), a: String::from("a") };
    let s = machin.s;
    let a = machin.a;

irevoire

use std::marker::PhantomData;

use serde::{Deserialize, Serialize};

#[derive(Debug, Deserialize)]
struct A;
#[derive(Debug, Serialize)]
struct B;

#[derive(Debug, Clone, Default, Serialize, Deserialize)]

irevoire

MeiliSearch

Hello there, future contributors. If you are here and see this code, it's probably because you want to add a super new fancy feature in MeiliSearch or fix a bug and first of all, thank you for that!

To help you in this task, we'll try to do a little overview of the project.

Milli

Milli is the core library of MeiliSearch, it's where we actually index documents and perform searches. It's aim is to do theses two tasks as fast as possible. You can give an update to milli and it'll uses as many cores as provided to perform it as fast as possible. Nothing more. You can perform searches at the same time (search only use one core). As you can see we're missing quite a lot of features here, milli does not handle multiples indexes, it can't queue updates, it doesn't provide any web / API frontend, it doesn't implements dumps or snapshots, etc...

Index module

The index module is what encapsulate one milli index. It abstracts over its transaction an