If you run into any problems upgrading in your own open source projects feel free to open up an issue and we'll give you a hand. The goal is definitely to offer a stable API eventually.

Build Status

Platform	Channel	Status (`master`)
Linux / macOS	Stable/Nightly
Windows	Nightly

Documentation

Version	Docs
current (`master`)

Example

Add elastic to your Cargo.toml:

[dependencies]
elastic = "0.21.0-pre.5"
elastic_derive = "0.21.0-pre.5"
serde_json = "1"

Create a SyncClient and start making requests:

#[macro_use]
extern crate elastic_derive;
#[macro_use]
extern crate serde_json;
extern crate elastic;

use serde_json::Value;
use elastic::prelude::*;

// A reqwest HTTP client and default parameters.
// The builder includes the base node url (http://localhost:9200).
let client = SyncClient::builder().build()?;

let query = "some query string";

// A search request with a freeform body.
let res = client.search::<Value>()
                .index("_all")
                .body(json!({
                    "query": {
                        "query_string": {
                            "query": query
                        }
                    }
                }))
                .send()?;

// Iterate through the hits in the response.
for hit in res.hits() {
    println!("{:?}", hit);
}

elastic also offers an AsyncClient for use with the tokio asynchronous io stack. See the examples folder for complete samples.

Building documents

Document mapping is derived at compile-time from your Plain Old Rust Structures. Just add a #[derive(ElasticType)] attribute:

#[derive(ElasticType, Serialize, Deserialize)]
struct MyDocument {
	#[elastic(id)]
	pub id: String,
	pub title: String,
	pub timestamp: Date<DefaultDateMapping<EpochMillis>>,
	pub content: Text<DefaultTextMapping>,
}

And you can start using MyDocument in Client request methods.

See the docs for more details.

Alternatives

elastic.co released an official client, elasticsearch. Although it is still in an alpha stage (as of 2020-02-10), it is very comprehensive and generates most of its code from the official REST API specifications.

Additionally, if you'd like to use a strongly-typed Query DSL builder see rs-es. This client does the hard work of providing an idiomatic Rust API for interacting with Elasticsearch. It has the advantage of letting you know your queries will parse at compile-time instead of runtime.

Goals

To provide a full-featured and efficient Elasticsearch client for Rust over asynchronous io. Rust gives us a lot of tools for building super-performant but highly accessible libraries, which we aim to continue. elastic is aimed at people who need to work with Elasticsearch and are considering using Rust, as well as users that are already using Rust. We want to offer a solution to interacting with Elasticsearch that's compelling from both within and outside the Rust ecosystem.

The REST API is covered by a simple inline JSON macro like serde_json's json! so it's always possible to build any query. This means you don't need to learn another API for interacting with Elasticsearch; queries mocked in Dev Tools could just be copy+pasted into your Rust source.

The core focus of this project is on strong typing over your document types and query responses in Elasticsearch, rather than trying to map the entire Query DSL.

Support for Elastic's plugin products, like watcher and graph could be added as feature-gated modules as necessary.

License

Licensed under either of these:

Apache License, Version 2.0 (LICENSE-APACHE or http://apache.org/licenses/LICENSE-2.0)
MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

Dependencies

~5MB
~97K SLoC