ae2e07e626
- Python: pyproject.toml, pytest suite (unit + integration), README, examples - JavaScript: package.json, TypeScript definitions, node:test suite, README, examples - Nim: integration tests, examples, README, improved nimble tasks - Rust: fixed nodelay/localhost IPv6 bug, integration tests, examples, README - Added GitHub Actions CI for all 4 clients against Docker server - Added docker-compose.test.yml for local integration testing - Added .gitignore for each client
BaraDB Rust Client
Official Rust client for BaraDB — a multimodal database engine written in Nim.
Features
- Binary wire protocol — fast TCP communication using only
std - Zero dependencies — no external crates required
- Sync API — blocking I/O suitable for most applications
- Query builder — fluent SQL construction
- Vector & JSON support — first-class multimodal types
Installation
Add to your Cargo.toml:
[dependencies]
baradb = "1.0"
Or from source:
git clone https://github.com/barabadb/baradadb.git
cd clients/rust
cargo build
Quick Start
use baradb::Client;
fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut client = Client::connect("localhost", 9472)?;
let result = client.query("SELECT name, age FROM users WHERE age > 18")?;
for row in result.rows() {
println!("{:?}", row);
}
client.close();
Ok(())
}
Parameterized Queries
use baradb::{Client, WireValue};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut client = Client::connect("localhost", 9472)?;
let result = client.query_params(
"SELECT * FROM users WHERE age > $1 AND country = $2",
&[WireValue::Int64(18), WireValue::String("BG".to_string())],
)?;
for row in result.rows() {
println!("{:?}", row);
}
client.close();
Ok(())
}
Query Builder
use baradb::Client;
fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut client = Client::connect("localhost", 9472)?;
let result = baradb::QueryBuilder::new(&mut client)
.select(&["name", "email"])
.from("users")
.where_clause("active = true")
.order_by("name", "ASC")
.limit(10)
.exec()?;
for row in result.rows() {
println!("{:?}", row);
}
client.close();
Ok(())
}
Vector Search
use baradb::{Client, WireValue};
fn main() -> Result<(), Box<dyn std::error::Error>> {
let mut client = Client::connect("localhost", 9472)?;
let result = client.query_params(
"SELECT id, name FROM products ORDER BY embedding <-> $1 LIMIT 5",
&[WireValue::Vector(vec![0.1, 0.2, 0.3])],
)?;
client.close();
Ok(())
}
Running Tests
Unit tests (no server):
cargo test --lib
Integration tests (requires server on localhost:9472):
# Start server
docker run -d -p 9472:9472 baradb:latest
# Run all tests
cargo test
API Reference
Client::connect(host, port)
Creates a new client connected to the given host and port.
Methods
query(sql) -> Result<QueryResult>— execute SELECT-like queryquery_params(sql, params) -> Result<QueryResult>— parameterized queryexecute(sql) -> Result<usize>— execute DDL/DML, returns affected rowsauth(token) -> Result<()>— JWT authenticationping() -> Result<bool>— health checkclose()— close connection
License
Apache-2.0