https://github.com/bve-reborn/switchyard

Real-time compute-focused async executor with job pools, thread-local data, and priorities.
https://github.com/bve-reborn/switchyard

async-await executor rust

Last synced: 5 days ago
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Real-time compute-focused async executor with job pools, thread-local data, and priorities.

• Host: GitHub
• URL: https://github.com/bve-reborn/switchyard
• Owner: BVE-Reborn
• License: apache-2.0
• Created: 2020-08-24T16:31:17.000Z (about 4 years ago)
• Default Branch: trunk
• Last Pushed: 2023-08-25T16:52:40.000Z (about 1 year ago)
• Last Synced: 2024-10-07T09:35:34.017Z (about 1 month ago)
• Topics: async-await, executor, rust
• Language: Rust
• Homepage:
• Size: 107 KB
• Stars: 64
• Watchers: 4
• Forks: 5
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE.APACHE

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README

        
# switchyard

![GitHub Workflow Status](https://img.shields.io/github/workflow/status/BVE-Reborn/switchyard/CI)

[![Crates.io](https://img.shields.io/crates/v/switchyard)](https://crates.io/crates/switchyard)

[![Documentation](https://docs.rs/switchyard/badge.svg)](https://docs.rs/switchyard)

![License](https://img.shields.io/crates/l/switchyard)

Real-time compute-focused async executor with job pools, thread-local data, and priorities.

## Example

```rust

use switchyard::Switchyard;

use switchyard::threads::{thread_info, one_to_one};

// Create a new switchyard without thread local data

let yard = Switchyard::new(one_to_one(thread_info(), Some("thread-name")), ||()).unwrap();

// Spawn a task on priority 10 and get a JoinHandle

let handle = yard.spawn(10, async move { 5 + 5 });

// Spawn a lower priority task

let handle2 = yard.spawn(0, async move { 2 + 2 });

// Wait on the results

assert_eq!(handle.await + handle2.await, 14);

```

## How Switchyard is Different

Switchyard is different from other existing async executors, focusing on situations where

precise control of threads and execution order is needed. One such situation is using

task parallelism to parallelize a compute workload.

### Priorites

Each task has a priority and tasks are ran in order from high priority to low priority.

```rust

// Spawn task with lowest priority.

yard.spawn(0, async move { /* ... */ });

// Spawn task with higher priority. If both tasks are waiting, this one will run first.

yard.spawn(10, async move { /* ... */ });

```

### Thread Local Data

Each yard has some thread local data that can be accessed using [`spawn_local`](Switchyard::spawn_local).

Both the thread local data and the future generated by the async function passed to [`spawn_local`](Switchyard::spawn_local)

may be `!Send` and `!Sync`. The future will only be resumed on the thread that created it.

If the data is `Send`, then you can call [`access_per_thread_data`](Switchyard::access_per_thread_data) to get

a vector of mutable references to all thread's data. See it's documentation for more information.

```rust

// Create yard with thread local data. The data is !Sync.

let yard = Switchyard::new(one_to_one(thread_info(), Some("thread-name")), || Cell::new(42)).unwrap();

// Spawn task that uses thread local data. Each running thread will get their own copy.

yard.spawn_local(0, |data| async move { data.set(10) });

```

## MSRV

1.51

Future MSRV bumps will be breaking changes.

License: MIT OR Apache-2.0 OR Zlib