salvo-concurrency-limiter

Name: salvo-concurrency-limiter
Rating: 5 (11 reviews)
Author: salvo-rs

by @salvo-rs in Tools

# Install this skill:

npx skills add salvo-rs/salvo-skills --skill "salvo-concurrency-limiter"

Install specific skill from multi-skill repository

# Description

Limit concurrent requests to protect resources. Use for file uploads, expensive operations, and preventing resource exhaustion.

# SKILL.md

name: salvo-concurrency-limiter
description: Limit concurrent requests to protect resources. Use for file uploads, expensive operations, and preventing resource exhaustion.

Salvo Concurrency Limiter

This skill helps limit concurrent requests in Salvo applications to protect resources and prevent overload.

What is Concurrency Limiting?

Concurrency limiting restricts how many requests can be processed simultaneously for specific endpoints. Unlike rate limiting (requests per time), this limits parallel execution.

Use cases:
- File upload endpoints (limited disk I/O)
- CPU-intensive operations
- External API calls with connection limits
- Database connections management

Setup

Concurrency limiter is built into Salvo core:

[dependencies]
salvo = "1.88.1"

Basic Concurrency Limit

use salvo::prelude::*;

#[handler]
async fn upload(req: &mut Request, res: &mut Response) {
    // Simulate long-running upload
    tokio::time::sleep(tokio::time::Duration::from_secs(10)).await;

    res.render("Upload complete");
}

#[tokio::main]
async fn main() {
    let router = Router::new()
        .push(
            Router::with_path("upload")
                .hoop(max_concurrency(1))  // Only 1 concurrent upload
                .post(upload)
        );

    let acceptor = TcpListener::new("0.0.0.0:8080").bind().await;
    Server::new(acceptor).serve(router).await;
}

Different Limits for Different Routes

use salvo::prelude::*;

#[tokio::main]
async fn main() {
    let router = Router::new()
        // File uploads - limited concurrency
        .push(
            Router::with_path("upload")
                .hoop(max_concurrency(2))  // Max 2 concurrent uploads
                .post(upload_handler)
        )
        // Report generation - very limited
        .push(
            Router::with_path("reports/generate")
                .hoop(max_concurrency(1))  // Only 1 at a time
                .post(generate_report)
        )
        // API endpoints - higher concurrency
        .push(
            Router::with_path("api/{**rest}")
                .hoop(max_concurrency(100))  // Up to 100 concurrent
                .goal(api_handler)
        )
        // No limit for health checks
        .push(Router::with_path("health").get(health_check));

    let acceptor = TcpListener::new("0.0.0.0:8080").bind().await;
    Server::new(acceptor).serve(router).await;
}

Comparing Limited and Unlimited Endpoints

use std::path::Path;
use salvo::prelude::*;

#[handler]
async fn index(res: &mut Response) {
    res.render(Text::Html(r#"
        <!DOCTYPE html>
        <html>
        <body>
            <h1>Upload Test</h1>
            <h3>Unlimited Uploads (can run in parallel)</h3>
            <form action="/unlimit" method="post" enctype="multipart/form-data">
                <input type="file" name="file" />
                <input type="submit" value="Upload" />
            </form>
            <h3>Limited Uploads (max 1 concurrent)</h3>
            <form action="/limited" method="post" enctype="multipart/form-data">
                <input type="file" name="file" />
                <input type="submit" value="Upload" />
            </form>
        </body>
        </html>
    "#));
}

#[handler]
async fn upload(req: &mut Request, res: &mut Response) {
    // Simulate slow processing
    tokio::time::sleep(tokio::time::Duration::from_secs(10)).await;

    if let Some(file) = req.file("file").await {
        let dest = format!("temp/{}", file.name().unwrap_or("file"));
        if let Err(e) = std::fs::copy(file.path(), Path::new(&dest)) {
            res.status_code(StatusCode::INTERNAL_SERVER_ERROR);
            res.render(format!("Error: {e}"));
        } else {
            res.render(format!("File uploaded to {dest}"));
        }
    } else {
        res.status_code(StatusCode::BAD_REQUEST);
        res.render("No file in request");
    }
}

#[tokio::main]
async fn main() {
    std::fs::create_dir_all("temp").unwrap();

    let router = Router::new()
        .get(index)
        // Limited: Only 1 concurrent request
        .push(
            Router::with_path("limited")
                .hoop(max_concurrency(1))
                .post(upload)
        )
        // Unlimited: All requests processed in parallel
        .push(
            Router::with_path("unlimit")
                .post(upload)
        );

    let acceptor = TcpListener::new("0.0.0.0:8080").bind().await;
    Server::new(acceptor).serve(router).await;
}

Combining with Rate Limiting

use salvo::prelude::*;
use salvo::rate_limiter::{BasicQuota, FixedGuard, MokaStore, RateLimiter, RemoteIpIssuer};

#[tokio::main]
async fn main() {
    // Rate limiter: 10 requests per second per IP
    let rate_limiter = RateLimiter::new(
        FixedGuard::new(),
        MokaStore::new(),
        RemoteIpIssuer,
        BasicQuota::per_second(10),
    );

    let router = Router::new()
        .push(
            Router::with_path("api/{**rest}")
                .hoop(rate_limiter)        // Rate limit first
                .hoop(max_concurrency(50)) // Then concurrency limit
                .goal(api_handler)
        );

    let acceptor = TcpListener::new("0.0.0.0:8080").bind().await;
    Server::new(acceptor).serve(router).await;
}

Combining with Timeout

use std::time::Duration;
use salvo::prelude::*;

#[tokio::main]
async fn main() {
    let router = Router::new()
        .push(
            Router::with_path("process")
                .hoop(Timeout::new(Duration::from_secs(30)))  // Timeout
                .hoop(max_concurrency(5))                      // Concurrency
                .post(process_handler)
        );

    let acceptor = TcpListener::new("0.0.0.0:8080").bind().await;
    Server::new(acceptor).serve(router).await;
}

Use Cases

CPU-Intensive Operations

// Limit image processing to prevent CPU exhaustion
let router = Router::new()
    .push(
        Router::with_path("resize")
            .hoop(max_concurrency(num_cpus::get()))  // One per CPU core
            .post(resize_image)
    );

Database Connection Protection

// Match concurrency to database pool size
let db_pool_size = 10;

let router = Router::new()
    .push(
        Router::with_path("heavy-query")
            .hoop(max_concurrency(db_pool_size))
            .get(heavy_query_handler)
    );

External API Limits

// External API allows only 5 concurrent connections
let router = Router::new()
    .push(
        Router::with_path("external")
            .hoop(max_concurrency(5))
            .get(call_external_api)
    );

Memory-Intensive Operations

// Large file processing - limit to prevent OOM
let router = Router::new()
    .push(
        Router::with_path("analyze")
            .hoop(max_concurrency(2))  // Only 2 concurrent analyses
            .post(analyze_large_file)
    );

What Happens When Limit is Reached

When concurrency limit is reached, additional requests receive 503 Service Unavailable:

use salvo::prelude::*;
use salvo::catcher::Catcher;

#[handler]
async fn handle_503(res: &mut Response, ctrl: &mut FlowCtrl) {
    if res.status_code() == Some(StatusCode::SERVICE_UNAVAILABLE) {
        res.render(Json(serde_json::json!({
            "error": "Server busy",
            "message": "Too many concurrent requests. Please try again.",
            "retry_after": 5
        })));
        ctrl.skip_rest();
    }
}

#[tokio::main]
async fn main() {
    let router = Router::new()
        .push(
            Router::with_path("process")
                .hoop(max_concurrency(2))
                .post(process_handler)
        );

    let service = Service::new(router).catcher(
        Catcher::default().hoop(handle_503)
    );

    let acceptor = TcpListener::new("0.0.0.0:8080").bind().await;
    Server::new(acceptor).serve(service).await;
}

Complete Example with Monitoring

use salvo::prelude::*;
use std::sync::atomic::{AtomicUsize, Ordering};
use std::sync::Arc;

// Track active requests for monitoring
static ACTIVE_UPLOADS: AtomicUsize = AtomicUsize::new(0);
static TOTAL_UPLOADS: AtomicUsize = AtomicUsize::new(0);

#[handler]
async fn upload(req: &mut Request, res: &mut Response) {
    // Track active requests
    ACTIVE_UPLOADS.fetch_add(1, Ordering::Relaxed);
    TOTAL_UPLOADS.fetch_add(1, Ordering::Relaxed);

    // Simulate processing
    tokio::time::sleep(tokio::time::Duration::from_secs(5)).await;

    // Process upload...
    res.render("Upload complete");

    ACTIVE_UPLOADS.fetch_sub(1, Ordering::Relaxed);
}

#[handler]
async fn metrics() -> Json<serde_json::Value> {
    Json(serde_json::json!({
        "active_uploads": ACTIVE_UPLOADS.load(Ordering::Relaxed),
        "total_uploads": TOTAL_UPLOADS.load(Ordering::Relaxed),
        "max_concurrent": 3
    }))
}

#[tokio::main]
async fn main() {
    let router = Router::new()
        .push(Router::with_path("metrics").get(metrics))
        .push(
            Router::with_path("upload")
                .hoop(max_concurrency(3))
                .post(upload)
        );

    let acceptor = TcpListener::new("0.0.0.0:8080").bind().await;
    Server::new(acceptor).serve(router).await;
}

Recommended Concurrency Limits

Operation Type	Recommended Limit
File uploads	1-5
Image processing	CPU cores
Report generation	1-2
Database heavy queries	DB pool size
External API calls	API limit
General API endpoints	50-200
WebSocket connections	Memory-based

Best Practices

Set based on resource constraints: Match limits to actual resource capacity
Consider downstream limits: Database pools, external API limits
Combine with timeout: Prevent stuck requests from blocking slots
Monitor active requests: Track usage to tune limits
Return meaningful errors: Tell clients to retry later
Different limits per endpoint: Not all endpoints need same limits
Test under load: Verify limits work as expected
Leave headroom: Don't set limit exactly at resource maximum

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

⚡ Amp 🚀 Antigravity 🤖 Claude Code 🦀 Clawdbot 📝 Codex ▶️ Cursor 🤖 Droid 💎 Gemini CLI 🐙 GitHub Copilot 🪿 Goose 📊 Kilo Code 🔧 Kiro CLI 💻 OpenCode 🦘 Roo Code 🌲 Trae 🏄 Windsurf

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.