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⚡ The Meilisearch API client written for Rust 🦀
Meilisearch Rust is the Meilisearch API client for Rust developers.
Meilisearch is an open-source search engine. Learn more about Meilisearch.
- 📖 Documentation
- ⚡ Supercharge your Meilisearch experience
- 🔧 Installation
- 🚀 Getting started
- 🌐 Running in the Browser with WASM
- 🤖 Compatibility with Meilisearch
- ⚙️ Contributing
This readme contains all the documentation you need to start using this Meilisearch SDK.
For general information on how to use Meilisearch—such as our API reference, tutorials, guides, and in-depth articles—refer to our main documentation website.
Say goodbye to server deployment and manual updates with Meilisearch Cloud. Get started with a 14-day free trial! No credit card required.
To use meilisearch-sdk, add this to your Cargo.toml:
[dependencies]
meilisearch-sdk = "0.24.2"The following optional dependencies may also be useful:
futures = "0.3" # To be able to block on async functions if you are not using an async runtime
serde = { version = "1.0", features = ["derive"] }This crate is async but you can choose to use an async runtime like tokio or just block on futures.
You can enable the sync feature to make most structs Sync. It may be a bit slower.
Using this crate is possible without serde, but a lot of features require serde.
This crate requires a Meilisearch server to run.
There are many easy ways to download and run a Meilisearch instance.
For example,using the curl command in your Terminal:
# Install Meilisearch
curl -L https://install.meilisearch.com | sh
# Launch Meilisearch
./meilisearch --master-key=masterKeyNB: you can also download Meilisearch from Homebrew or APT.
use meilisearch_sdk::client::*;
use serde::{Serialize, Deserialize};
use futures::executor::block_on;
#[derive(Serialize, Deserialize, Debug)]
struct Movie {
id: usize,
title: String,
genres: Vec<String>,
}
fn main() { block_on(async move {
// Create a client (without sending any request so that can't fail)
let client = Client::new(MEILISEARCH_URL, Some(MEILISEARCH_API_KEY));
// An index is where the documents are stored.
let movies = client.index("movies");
// Add some movies in the index. If the index 'movies' does not exist, Meilisearch creates it when you first add the documents.
movies.add_documents(&[
Movie { id: 1, title: String::from("Carol"), genres: vec!["Romance".to_string(), "Drama".to_string()] },
Movie { id: 2, title: String::from("Wonder Woman"), genres: vec!["Action".to_string(), "Adventure".to_string()] },
Movie { id: 3, title: String::from("Life of Pi"), genres: vec!["Adventure".to_string(), "Drama".to_string()] },
Movie { id: 4, title: String::from("Mad Max"), genres: vec!["Adventure".to_string(), "Science Fiction".to_string()] },
Movie { id: 5, title: String::from("Moana"), genres: vec!["Fantasy".to_string(), "Action".to_string()] },
Movie { id: 6, title: String::from("Philadelphia"), genres: vec!["Drama".to_string()] },
], Some("id")).await.unwrap();
})}With the uid, you can check the status (enqueued, canceled, processing, succeeded or failed) of your documents addition using the task.
// Meilisearch is typo-tolerant:
println!("{:?}", client.index("movies_2").search().with_query("caorl").execute::<Movie>().await.unwrap().hits);Output:
[Movie { id: 1, title: String::from("Carol"), genres: vec!["Romance", "Drama"] }]
Json output:
{
"hits": [{
"id": 1,
"title": "Carol",
"genres": ["Romance", "Drama"]
}],
"offset": 0,
"limit": 10,
"processingTimeMs": 1,
"query": "caorl"
}let search_result = client.index("movies_3")
.search()
.with_query("phil")
.with_attributes_to_highlight(Selectors::Some(&["*"]))
.execute::<Movie>()
.await
.unwrap();
println!("{:?}", search_result.hits);Json output:
{
"hits": [
{
"id": 6,
"title": "Philadelphia",
"_formatted": {
"id": 6,
"title": "<em>Phil</em>adelphia",
"genre": ["Drama"]
}
}
],
"offset": 0,
"limit": 20,
"processingTimeMs": 0,
"query": "phil"
}If you want to enable filtering, you must add your attributes to the filterableAttributes
index setting.
let filterable_attributes = [
"id",
"genres",
];
client.index("movies_4").set_filterable_attributes(&filterable_attributes).await.unwrap();You only need to perform this operation once.
Note that Meilisearch will rebuild your index whenever you update filterableAttributes. Depending on the size of your dataset, this might take time. You can track the process using the tasks.
Then, you can perform the search:
let search_result = client.index("movies_5")
.search()
.with_query("wonder")
.with_filter("id > 1 AND genres = Action")
.execute::<Movie>()
.await
.unwrap();
println!("{:?}", search_result.hits);Json output:
{
"hits": [
{
"id": 2,
"title": "Wonder Woman",
"genres": ["Action", "Adventure"]
}
],
"offset": 0,
"limit": 20,
"estimatedTotalHits": 1,
"processingTimeMs": 0,
"query": "wonder"
}This crate fully supports WASM.
The only difference between the WASM and the native version is that the native version has one more variant (Error::Http) in the Error enum. That should not matter so much but we could add this variant in WASM too.
However, making a program intended to run in a web browser requires a very different design than a CLI program. To see an example of a simple Rust web app using Meilisearch, see the our demo.
WARNING: meilisearch-sdk will panic if no Window is available (ex: Web extension).
This package guarantees compatibility with version v1.x of Meilisearch, but some features may not be present. Please check the issues for more info.
Any new contribution is more than welcome in this project!
If you want to know more about the development workflow or want to contribute, please visit our contributing guidelines for detailed instructions!
Meilisearch provides and maintains many SDKs and Integration tools like this one. We want to provide everyone with an amazing search experience for any kind of project. If you want to contribute, make suggestions, or just know what's going on right now, visit us in the integration-guides repository.