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Echo 📣


Echo 📣 A Resilient, High-Performance Task Scheduler for Rust

License: CC0-1.0 Crates.io Tokio Version Crossbeam Version

Welcome to Echo! This crate provides a powerful, structured concurrency runtime for Rust applications, built on a high-performance work-stealing scheduler. It is designed to be the core execution engine for application backends like Mountain, integrating seamlessly with declarative systems like the ActionEffect pattern. Echo moves beyond simple task spawning (tokio::spawn) to provide a robust framework for managing, prioritizing, and executing complex asynchronous workflows with resilience and efficiency.

Echo is engineered to:

  1. Provide High-Performance Concurrency: Utilizes a lock-free, work-stealing queue (crossbeam-deque) to ensure all worker threads remain busy, maximizing CPU utilization and application throughput.
  2. Enable Structured Task Management: Offers a clean API for submitting tasks with different priorities, allowing critical, UI-blocking operations to pre-empt background work.
  3. Integrate Natively with Effect Systems: Designed from the ground up to be the execution backend for systems like the ActionEffect pattern, providing a bridge between declarative task definitions and their concrete execution.

Key Features 🔐

  • Work-Stealing Scheduler: Implements a modern, priority-aware work-stealing algorithm to efficiently distribute tasks across a pool of worker threads.
  • Task Prioritization: Supports submitting tasks with High, Normal, or Low priority, ensuring that latency-sensitive operations are handled immediately.
  • Fluent Builder API: A clean SchedulerBuilder allows for easy configuration of the worker pool size.
  • Graceful Shutdown: Provides a Stop() method to ensure all worker threads complete their current tasks and exit cleanly, preventing orphaned threads.
  • Decoupled Architecture: A generic Queue module provides the core work-stealing logic, which is consumed by the application-specific Scheduler.

Core Architecture Principles 🏗️

Principle Description Key Components Involved
Performance Use lock-free data structures (crossbeam-deque) and a high-performance work-stealing algorithm to achieve maximum throughput and low-latency task execution. Queue::StealingQueue, Scheduler::Worker
Structured Concurrency Manage all asynchronous operations within a supervised pool of workers, providing graceful startup and shutdown, unlike fire-and-forget tokio::spawn. Scheduler::Scheduler, Scheduler::SchedulerBuilder
Decoupling Separate the generic Queueing Logic from the application-specific Scheduler Implementation. The scheduler uses the queue to run its tasks. Queue::StealingQueue<TTask>, Scheduler::Scheduler, Task::Task
Resilience The scheduler's design is inherently resilient; the failure of one task (if it panics) is contained within its tokio task and does not crash the worker pool. Scheduler::Worker::Run
Composability Provide a simple Submit API that accepts any Future<Output = ()>, making it easy to integrate with any asynchronous Rust code. Task::Task, Scheduler::Scheduler::Submit

Deep Dive & Component Breakdown 🔬

To understand how Echo's internal components interact to provide these services, please refer to the detailed technical breakdown in docs/Deep Dive.md. This document explains the roles of the Task, StealingQueue, Worker, and Scheduler in detail.


Echo in the Land Ecosystem 📣 + 🏞️

This diagram illustrates Echo's role as the core execution engine within the Mountain backend.

graph LR
    classDef common fill:#9cf,stroke:#333,stroke-width:2px;
    classDef mountain fill:#f9f,stroke:#333,stroke-width:2px;
    classDef echo fill:#ffc,stroke:#333,stroke-width:2px;
    classDef rust fill:#f9d,stroke:#333,stroke-width:1px;

	subgraph "Common (Abstract Core)"
		ActionEffect["ActionEffect (Task Definition)"]:::common
	end

	subgraph "Mountain (Application Logic)"
        ApplicationRunTime["Mountain ApplicationRunTime"]:::mountain
        MountainEnvironment["MountainEnvironment (Service Impls)"]:::mountain
        Track["Track (Request Dispatcher)"]:::mountain
	end

	subgraph "Echo (Execution Engine)"
		Scheduler["Echo Scheduler"]:::echo
		WorkStealingQueue["Work-Stealing Queue"]:::echo
        WorkerPool["Worker Pool (Tokio Threads)"]:::rust

        Scheduler -- Manages --> WorkStealingQueue;
        Scheduler -- Spawns --> WorkerPool;
        WorkerPool -- Pull tasks from --> WorkStealingQueue;
	end

    Track -- Dispatches to --> ApplicationRunTime;
    ApplicationRunTime -- Creates Future from --> ActionEffect;
    ApplicationRunTime -- Submits Future to --> Scheduler;
    WorkerPool -- Executes Future using --> MountainEnvironment;
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Project Structure Overview 🗺️

The Echo repository is organized into a few core modules with a clear separation of concerns:

Echo/
└── Source/
    ├── Library.rs               # Crate root, declares all modules.
    ├── Scheduler/               # The main public API: Scheduler and SchedulerBuilder.
    ├── Queue/                   # The generic, high-performance work-stealing queue library.
    └── Task/                    # The concrete definition of a Task and its Priority.

Getting Started 🚀

Installation

To add Echo to your project, add the following to your Cargo.toml:

[dependencies]
Echo = { git = "https://github.com/CodeEditorLand/Echo.git", branch = "Current" }

Key Dependencies:

  • tokio = { version = "*", features = ["full"] }
  • crossbeam-deque = "*"
  • rand = "*"
  • log = "*"
  • num_cpus = "*"

Usage

Echo is designed to be integrated into an application's main entry point and used throughout the application, often via a shared context or runtime.

  1. Initialize the Scheduler: Create and start the scheduler when your application starts. It is typically wrapped in an Arc to be shared safely across your application.

    // In your application's main function
    use std::sync::Arc;
    use Echo::Scheduler::SchedulerBuilder;
    use Echo::Task::Priority;
    
    // Use the fluent builder to configure and build the scheduler
    let Scheduler = Arc::new(SchedulerBuilder::Create().WithWorkerCount(8).Build());
  2. Submit Tasks: Use the Scheduler instance to submit asynchronous work from anywhere in your application.

    // An example async block to be run by the scheduler
    let MyTask = async {
        println!("This is running on an Echo worker thread!");
        // ... perform some work ...
    };
    
    // Submit the task with a desired priority
    Scheduler.Submit(MyTask, Priority::Normal);
    
    // Another example with high priority
    Scheduler.Submit(async { /* critical work */ }, Priority::High);
  3. Graceful Shutdown: Before your application exits, ensure a clean shutdown of all worker threads.

    // In your application's shutdown sequence
    // Note: Arc::try_unwrap requires the Arc to have only one strong reference.
    if let Ok(mut Scheduler) = Arc::try_unwrap(Scheduler) {
        Scheduler.Stop().await;
    }

Help Us Boost Performance: A Call for Contributions! 🫱🏻‍🫲🏿

Echo is built on a high-performance foundation, but there's always room to push the boundaries of speed and efficiency. We maintain a detailed roadmap of features and performance optimizations, with tasks suitable for all skill levels.

Contribution Level Example Tasks
Quick Wins Implement faster random number generation for stealing.
Architectural Add a true sleep/notification system for idle workers.
Expert Tuning Build a criterion benchmark suite; implement CPU pinning.
Advanced Logic Introduce an anti-starvation mechanism for tasks.

Interested in tackling one of these challenges? 👉🏻


License ⚖️

This project is released into the public domain under the Creative Commons CC0 Universal license. You are free to use, modify, distribute, and build upon this work for any purpose, without any restrictions. For the full legal text, see the LICENSE file.


Changelog 📜

Stay updated with our progress! See CHANGELOG.md for a history of changes specific to Echo.


Funding & Acknowledgements 🙏🏻

Echo is a core element of the Land ecosystem. This project is funded through NGI0 Commons Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet program. Learn more at the NLnet project page.

Land PlayForm NLnet NGI0 Commons Fund
Land PlayForm NLnet NGI0 Commons Fund

Project Maintainers: Source Open (Source/Open@Editor.Land) | GitHub Repository | Report an Issue | Security Policy

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