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default | Rust client | 100 |
Rust client
The OpenSearch Rust client lets you connect your Rust application with the data in your OpenSearch cluster. For the client's complete API documentation and more examples, see the OpenSearch docs.rs documentation.
This getting started guide illustrates how to connect to OpenSearch, index documents, and run queries. For the client source code, see the opensearch-rs repo.
Setup
If you're starting a new project, add the opensearch
crate to Cargo.toml:
[dependencies]
opensearch = "1.0.0"
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Additionally, you may want to add the following serde
dependencies that help serialize types to JSON and deserialize JSON responses:
serde = "~1"
serde_json = "~1"
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The Rust client uses the higher-level reqwest
HTTP client library for HTTP requests, and reqwest uses the tokio
platform to support asynchronous requests. If you are planning to use asynchronous functions, you need to add the tokio
dependency to Cargo.toml:
tokio = { version = "*", features = ["full"] }
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See the Sample program section for the complete Cargo.toml file.
To use the Rust client API, import the modules, structs, and enums you need:
use opensearch::OpenSearch;
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Connecting to OpenSearch
To connect to the default OpenSearch host, create a default client object that connects to OpenSearch at the address http://localhost:9200
:
let client = OpenSearch::default();
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To connect to an OpenSearch host that is running at a different address, create a client with the specified address:
let transport = Transport::single_node("http://localhost:9200")?;
let client = OpenSearch::new(transport);
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Alternatively, you can customize the URL and use a connection pool by creating a TransportBuilder
struct and passing it to OpenSearch::new
to create a new instance of the client:
let url = Url::parse("http://localhost:9200")?;
let conn_pool = SingleNodeConnectionPool::new(url);
let transport = TransportBuilder::new(conn_pool).disable_proxy().build()?;
let client = OpenSearch::new(transport);
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Creating an index
To create an OpenSearch index, use the create
function of the opensearch::indices::Indices
struct. You can use the following code to construct a JSON object with custom mappings:
let response = client
.indices()
.create(IndicesCreateParts::Index("movies"))
.body(json!({
"mappings" : {
"properties" : {
"title" : { "type" : "text" }
}
}
}))
.send()
.await?;
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Indexing a document
You can index a document into OpenSearch using the client's index
function:
let response = client
.index(IndexParts::IndexId("movies", "1"))
.body(json!({
"id": 1,
"title": "Moneyball",
"director": "Bennett Miller",
"year": "2011"
}))
.send()
.await?;
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Performing bulk operations
You can perform several operations at the same time by using the client's bulk
function. First, create the JSON body of a Bulk API call, and then pass it to the bulk
function:
let mut body: Vec<JsonBody<_>> = Vec::with_capacity(4);
// add the first operation and document
body.push(json!({"index": {"_id": "2"}}).into());
body.push(json!({
"id": 2,
"title": "Interstellar",
"director": "Christopher Nolan",
"year": "2014"
}).into());
// add the second operation and document
body.push(json!({"index": {"_id": "3"}}).into());
body.push(json!({
"id": 3,
"title": "Star Trek Beyond",
"director": "Justin Lin",
"year": "2015"
}).into());
let response = client
.bulk(BulkParts::Index("movies"))
.body(body)
.send()
.await?;
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Searching for documents
The easiest way to search for documents is to construct a query string. The following code uses a multi_match
query to search for "miller" in the title and director fields. It boosts the documents where "miller" appears in the title field:
response = client
.search(SearchParts::Index(&["movies"]))
.from(0)
.size(10)
.body(json!({
"query": {
"multi_match": {
"query": "miller",
"fields": ["title^2", "director"]
}
}
}))
.send()
.await?;
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You can then read the response body as JSON and iterate over the hits
array to read all the _source
documents:
let response_body = response.json::<Value>().await?;
for hit in response_body["hits"]["hits"].as_array().unwrap() {
// print the source document
println!("{}", serde_json::to_string_pretty(&hit["_source"]).unwrap());
}
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Deleting a document
You can delete a document using the client's delete
function:
let response = client
.delete(DeleteParts::IndexId("movies", "2"))
.send()
.await?;
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Deleting an index
You can delete an index using the delete
function of the opensearch::indices::Indices
struct:
let response = client
.indices()
.delete(IndicesDeleteParts::Index(&["movies"]))
.send()
.await?;
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Sample program
The sample program uses the following Cargo.toml file with all dependencies described in the Setup section:
[package]
name = "os_rust_project"
version = "0.1.0"
edition = "2021"
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[dependencies]
opensearch = "1.0.0"
tokio = { version = "*", features = ["full"] }
serde = "~1"
serde_json = "~1"
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The following sample program creates a client, adds an index with non-default mappings, inserts a document, performs bulk operations, searches for the document, deletes the document, and then deletes the index:
use opensearch::{DeleteParts, OpenSearch, IndexParts, http::request::JsonBody, BulkParts, SearchParts};
use opensearch::{indices::{IndicesDeleteParts, IndicesCreateParts}};
use serde_json::{json, Value};
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = OpenSearch::default();
// Create an index
let mut response = client
.indices()
.create(IndicesCreateParts::Index("movies"))
.body(json!({
"mappings" : {
"properties" : {
"title" : { "type" : "text" }
}
}
}))
.send()
.await?;
let mut successful = response.status_code().is_success();
if successful {
println!("Successfully created an index");
}
else {
println!("Could not create an index");
}
// Index a single document
println!("Indexing a single document...");
response = client
.index(IndexParts::IndexId("movies", "1"))
.body(json!({
"id": 1,
"title": "Moneyball",
"director": "Bennett Miller",
"year": "2011"
}))
.send()
.await?;
successful = response.status_code().is_success();
if successful {
println!("Successfully indexed a document");
}
else {
println!("Could not index document");
}
// Index multiple documents using the bulk operation
println!("Indexing multiple documents...");
let mut body: Vec<JsonBody<_>> = Vec::with_capacity(4);
// add the first operation and document
body.push(json!({"index": {"_id": "2"}}).into());
body.push(json!({
"id": 2,
"title": "Interstellar",
"director": "Christopher Nolan",
"year": "2014"
}).into());
// add the second operation and document
body.push(json!({"index": {"_id": "3"}}).into());
body.push(json!({
"id": 3,
"title": "Star Trek Beyond",
"director": "Justin Lin",
"year": "2015"
}).into());
response = client
.bulk(BulkParts::Index("movies"))
.body(body)
.send()
.await?;
let mut response_body = response.json::<Value>().await?;
successful = response_body["errors"].as_bool().unwrap() == false;
if successful {
println!("Successfully performed bulk operations");
}
else {
println!("Could not perform bulk operations");
}
// Search for a document
println!("Searching for a document...");
response = client
.search(SearchParts::Index(&["movies"]))
.from(0)
.size(10)
.body(json!({
"query": {
"multi_match": {
"query": "miller",
"fields": ["title^2", "director"]
}
}
}))
.send()
.await?;
response_body = response.json::<Value>().await?;
for hit in response_body["hits"]["hits"].as_array().unwrap() {
// print the source document
println!("{}", serde_json::to_string_pretty(&hit["_source"]).unwrap());
}
// Delete a document
response = client
.delete(DeleteParts::IndexId("movies", "2"))
.send()
.await?;
successful = response.status_code().is_success();
if successful {
println!("Successfully deleted a document");
}
else {
println!("Could not delete document");
}
// Delete the index
response = client
.indices()
.delete(IndicesDeleteParts::Index(&["movies"]))
.send()
.await?;
successful = response.status_code().is_success();
if successful {
println!("Successfully deleted the index");
}
else {
println!("Could not delete the index");
}
Ok(())
}
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