spring-rs is application framework written in Rust, inspired by Java's SpringBoot

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spring-rs is an application framework that emphasizes convention over configuration, inspired by Java's SpringBoot. spring-rs provides an easily extensible plug-in system for integrating excellent projects in the Rust community, such as axum, sqlx, sea-orm, etc.

Compared with SpringBoot in java, spring-rs has higher performance and lower memory usage, allowing you to completely get rid of the bloated JVM and travel light.

Features

• ⚡️ High performance: Benefiting from the awesome rust language, spring-rs has the ultimate performance comparable to C/C++
• 🛡️ High security: Compared to C/C++, the Rust language used by spring-rs provides memory safety and thread safety.
• 🔨 Lightweight: The core code of spring-rs does not exceed 5,000 lines, and the binary size of the release version packaged in rust is also small.
• 🔧 Easy to use: spring-rs provides a clear and concise API and optional Procedural Macros to simplify development.
• 🔌 Highly extensible: spring-rs uses a highly extensible plug-in model, and users can customize plug-ins to extend program capabilities.
• ⚙️ Highly configurable: spring-rs uses toml to configure applications and plug-ins to improve application flexibility.

Example

web

use spring::{auto_config, App};
use spring_sqlx::{
    sqlx::{self, Row},
    ConnectPool, SqlxPlugin
};
use spring_web::{get, route};
use spring_web::{
    error::Result, extractor::{Path, Component}, handler::TypeRouter, axum::response::IntoResponse, Router,
    WebConfigurator, WebPlugin,
};
use anyhow::Context;

#[auto_config(WebConfigurator)]
#[tokio::main]
async fn main() {
    App::new()
        .add_plugin(SqlxPlugin)
        .add_plugin(WebPlugin)
        .run()
        .await
}

#[get("/")]
async fn hello_world() -> impl IntoResponse {
    "hello world"
}

#[route("/hello/:name", method = "GET", method = "POST")]
async fn hello(Path(name): Path<String>) -> impl IntoResponse {
    format!("hello {name}")
}

#[get("/version")]
async fn sqlx_request_handler(Component(pool): Component<ConnectPool>) -> Result<String> {
    let version = sqlx::query("select version() as version")
        .fetch_one(&pool)
        .await
        .context("sqlx query failed")?
        .get("version");
    Ok(version)
}

job

use anyhow::Context;
use spring::{auto_config, App};
use spring_job::{cron, fix_delay, fix_rate};
use spring_job::{extractor::Component, JobConfigurator, JobPlugin};
use spring_sqlx::{
    sqlx::{self, Row},
    ConnectPool, SqlxPlugin,
};
use std::time::{Duration, SystemTime};

#[auto_config(JobConfigurator)]
#[tokio::main]
async fn main() {
    App::new()
        .add_plugin(JobPlugin)
        .add_plugin(SqlxPlugin)
        .run()
        .await;

    tokio::time::sleep(Duration::from_secs(100)).await;
}

#[cron("1/10 * * * * *")]
async fn cron_job(Component(db): Component<ConnectPool>) {
    let time: String = sqlx::query("select TO_CHAR(now(),'YYYY-MM-DD HH24:MI:SS') as time")
        .fetch_one(&db)
        .await
        .context("query failed")
        .unwrap()
        .get("time");
    println!("cron scheduled: {:?}", time)
}

#[fix_delay(5)]
async fn fix_delay_job() {
    let now = SystemTime::now();
    let datetime: sqlx::types::chrono::DateTime<sqlx::types::chrono::Local> = now.into();
    let formatted_time = datetime.format("%Y-%m-%d %H:%M:%S");
    println!("fix delay scheduled: {}", formatted_time)
}

#[fix_rate(5)]
async fn fix_rate_job() {
    tokio::time::sleep(Duration::from_secs(10)).await;
    let now = SystemTime::now();
    let datetime: sqlx::types::chrono::DateTime<sqlx::types::chrono::Local> = now.into();
    let formatted_time = datetime.format("%Y-%m-%d %H:%M:%S");
    println!("fix rate scheduled: {}", formatted_time)
}

Supported plugins

• spring-web: Based on axum
• spring-sqlx: Integrated with sqlx
• spring-postgres: Integrated with rust-postgres
• spring-sea-orm: Integrated with sea-orm
• spring-redis: Integrated with redis
• spring-mail: Integrated with lettre
• spring-job: Integrated with tokio-cron-scheduler
• spring-stream: Integrate sea-streamer to implement message processing such as redis-stream and kafka
• spring-opentelemetry: Integrate with opentelemetry to implement full observability of logging, metrics, tracing
• spring-tarpc: Integratetarpc to implement RPC calls

Ecosystem

• spring-sqlx-migration-plugin
• spring-opendal

Project showcase

• Raline
• AutoWDS

Contribution

We also welcome community experts to contribute their own plugins. Contributing →

Help

Click here to view common problems encountered when using spring-rs Help →