Official Rust client for Elasticsearch

Elasticsearch is an official Rust client for Elasticsearch, providing an efficient asynchronous client for all stable Elasticsearch APIs that's easy to use.

Versions and Compatibility

A major version of the client is compatible with the same major version of Elasticsearch. Since Elasticsearch is developed following Semantic Versioning principles, Any minor/patch version of the client can be used against any minor/patch version of Elasticsearch within the same major version lineage. For example,

• A 7.5.0 client can be used against 7.0.0 Elasticsearch
• A 7.4.0 client can be used against 7.5.1 Elasticsearch

In the former case, a 7.5.0 client may contain additional API functions that are not available in 7.0.0 Elasticsearch. In this case, these APIs cannot be used, but for any APIs available in Elasticsearch, the respective API functions on the client will be compatible.

In the latter case, a 7.4.0 client won't contain API functions for APIs that are introduced in Elasticsearch 7.5.0+, but for all other APIs available in Elasticsearch, the respective API functions on the client will be compatible.

No compatibility assurances are given between different major versions of the client and Elasticsearch. Major differences likely exist between major versions of Elasticsearch, particularly around request and response object formats, but also around API urls and behaviour.

Features

The following are a list of Cargo features that can be enabled or disabled:

• native-tls (enabled by default): Enables TLS functionality provided by native-tls.
• rustls-tls: Enables TLS functionality provided by rustls.

Getting started

Add the elasticsearch crate and version to Cargo.toml. Choose the version that is compatible with the version of Elasticsearch you're using

[dependencies]
elasticsearch = "7.11.0-alpha.1"

The following optional dependencies may also be useful to create requests and read responses

serde = "~1"
serde_json = "~1"

Async support with tokio

The client uses reqwest to make HTTP calls, which internally uses the tokio runtime for async support. As such, you may require to take a dependency on tokio in order to use the client. For example, in Cargo.toml, you may need the following dependency

tokio = { version = "*", features = ["full"] }

and to attribute async main function with #[tokio::main]

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
// your code ...
Ok(())
}

and attribute test functions with #[tokio::test]

#[tokio::test]
async fn my_test() -> Result<(), Box<dyn std::error::Error>> {
// your code ...
Ok(())
}

Create a client

To create a client to make API calls to Elasticsearch running on http://localhost:9200

# use elasticsearch::Elasticsearch;
let client = Elasticsearch::default();

Alternatively, you can create a client to make API calls against Elasticsearch running on a specific [url::Url]

# use elasticsearch::{
#     Error, Elasticsearch,
#     http::transport::{Transport, SingleNodeConnectionPool}
# };
# fn main() -> Result<(), Box<dyn std::error::Error>> {
let transport = Transport::single_node("https://example.com")?;
let client = Elasticsearch::new(transport);
# Ok(())
# }

If you're running against an Elasticsearch deployment in Elastic Cloud, a client can be created using a Cloud ID and credentials retrieved from the Cloud web console

# use elasticsearch::{
#     auth::Credentials,
#     Error, Elasticsearch,
#     http::transport::Transport,
# };
# use url::Url;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
let cloud_id = "cluster_name:Y2xvdWQtZW5kcG9pbnQuZXhhbXBsZSQzZGFkZjgyM2YwNTM4ODQ5N2VhNjg0MjM2ZDkxOGExYQ==";
let credentials = Credentials::Basic("<username>".into(), "<password>".into());
let transport = Transport::cloud(cloud_id, credentials)?;
let client = Elasticsearch::new(transport);
# Ok(())
# }

More control over how a Transport is built can be achieved using TransportBuilder to build a transport, and passing it to [Elasticsearch::new] create a new instance of [Elasticsearch]

# use elasticsearch::{
#     auth::Credentials,
#     Error, Elasticsearch,
#     http::transport::{TransportBuilder,SingleNodeConnectionPool},
# };
# use url::Url;
# fn main() -> Result<(), Box<dyn std::error::Error>> {
let url = Url::parse("https://example.com")?;
let conn_pool = SingleNodeConnectionPool::new(url);
let transport = TransportBuilder::new(conn_pool).disable_proxy().build()?;
let client = Elasticsearch::new(transport);
# Ok(())
# }

Making API calls

The client exposes all stable Elasticsearch APIs, either on the root [Elasticsearch] client, or on a namespace client that groups related APIs, such as Cat, which groups the Cat related APIs. All API functions are async and can be awaited.

The following makes an API call to the cat indices API

# use elasticsearch::{auth::Credentials, Elasticsearch, Error, cat::CatIndicesParts};
# use url::Url;
# use serde_json::{json, Value};
# #[tokio::main]
# async fn main() -> Result<(), Box<dyn std::error::Error>> {
# let client = Elasticsearch::default();
let response = client
.cat()
.indices(CatIndicesParts::Index(&["*"]))
.send()
.await?;

let response_body = response.json::<Value>().await?;
for record in response_body.as_array().unwrap() {
// print the name of each index
println!("{}", record["index"].as_str().unwrap());
}
# Ok(())
# }

For APIs that contain parts of the Url path to be provided by the consumer, the Url path variants are modelled as an enum, such as CatIndicesParts in the above example, which models the variants of the CatIndices API.

Indexing

Indexing a single document can be achieved with the index API

# use elasticsearch::{auth::Credentials, Elasticsearch, Error, SearchParts, IndexParts};
# use url::Url;
# use serde_json::{json, Value};
# #[tokio::main]
# async fn main() -> Result<(), Box<dyn std::error::Error>> {
# let client = Elasticsearch::default();
let response = client
.index(IndexParts::IndexId("tweets", "1"))
.body(json!({
"id": 1,
"user": "kimchy",
"post_date": "2009-11-15T00:00:00Z",
"message": "Trying out Elasticsearch, so far so good?"
}))
.send()
.await?;

let successful = response.status_code().is_success();
# Ok(())
# }

For indexing multiple documents, the bulk API is a better option, allowing multiple operations to be sent in one API call

# use elasticsearch::{auth::Credentials, Elasticsearch, Error, IndexParts, BulkParts, http::request::JsonBody};
# use url::Url;
# use serde_json::{json, Value};
# #[tokio::main]
# async fn main() -> Result<(), Box<dyn std::error::Error>> {
# let client = Elasticsearch::default();
let mut body: Vec<JsonBody<_>> = Vec::with_capacity(4);

// add the first operation and document
body.push(json!({"index": {"_id": "1"}}).into());
body.push(json!({
"id": 1,
"user": "kimchy",
"post_date": "2009-11-15T00:00:00Z",
"message": "Trying out Elasticsearch, so far so good?"
}).into());

// add the second operation and document
body.push(json!({"index": {"_id": "2"}}).into());
body.push(json!({
"id": 2,
"user": "forloop",
"post_date": "2020-01-08T00:00:00Z",
"message": "Bulk indexing with the rust client, yeah!"
}).into());

let response = client
.bulk(BulkParts::Index("tweets"))
.body(body)
.send()
.await?;

let response_body = response.json::<Value>().await?;
let successful = response_body["errors"].as_bool().unwrap() == false;
# Ok(())
# }

Searching

The following makes an API call to tweets/_search with the json body {"query":{"match":{"message":"Elasticsearch"}}}

# use elasticsearch::{auth::Credentials, Elasticsearch, Error, SearchParts};
# use url::Url;
# use serde_json::{json, Value};
# #[tokio::main]
# async fn main() -> Result<(), Box<dyn std::error::Error>> {
# let client = Elasticsearch::default();
let response = client
.search(SearchParts::Index(&["tweets"]))
.from(0)
.size(10)
.body(json!({
"query": {
"match": {
"message": "Elasticsearch rust"
}
}
}))
.send()
.await?;

let response_body = response.json::<Value>().await?;
let took = response_body["took"].as_i64().unwrap();
for hit in response_body["hits"]["hits"].as_array().unwrap() {
// print the source document
println!("{:?}", hit["_source"]);
}
# Ok(())
# }

Request bodies

For APIs that expect JSON, the body associated function of the API constrains the input to a type that implements [serde::Serialize] trait. An example of this was the indexing a single document example above.

Some APIs expect newline delimited JSON (NDJSON) however, so the body associated for these APIs constrain the input to a vector of types that implement Body trait. An example of this was the bulk indexing multiple documents above.

The Body trait represents the body of an API call, allowing for different body implementations. As well as those to represent JSON and NDJSON, a few other types also have implementations for Body, such as byte slice. Whilst these can't be passed to the API functions directly, [Elasticsearch::send] can be used

# use elasticsearch::{auth::Credentials, http::{Method,headers::HeaderMap}, Elasticsearch, Error, SearchParts};
# use url::Url;
# use serde_json::{json, Value};
# #[tokio::main]
# async fn main() -> Result<(), Box<dyn std::error::Error>> {
# let client = Elasticsearch::default();
let body = b"{\"query\":{\"match_all\":{}}}";

let response = client
.send(Method::Post,
SearchParts::Index(&["tweets"]).url().as_ref(),
HeaderMap::new(),
Option::<&Value>::None,
Some(body.as_ref()),
None,
)
.await?;

# Ok(())
# }