futures-intrusive 0.5.0

Futures based on intrusive data structures - for std and no-std environments.
Documentation
Synchronization primitives and utilities based on intrusive collections. This crate provides a variety of `Futures`-based and `async/await` compatible types that are based on the idea of intrusive collections: - Channels in a variety of flavors: - Oneshot - Multi-Producer Multi-Consumer (MPMC) - State Broadcast - Synchronization Primitives: - Manual Reset Event - Mutex - Semaphore - A timer ## Intrusive collections? In an intrusive collection, the elements that want to get stored inside the collection provide the means to store themselves inside the collection. E.g. in an intrusive linked list, each element that gets stored inside the list contains a pointer field that points to the next list element. E.g. ``` // The element which is intended to be stored inside an intrusive container struct ListElement { data: u32, next: *mut ListElement, } // The intrusive container struct List { head: *mut ListElement, } ``` The advantage here is that the intrusive collection (here: the list) requires only a fixed amount of memory. In this case it only needs a pointer to the first element. The list container itself has a fixed size of a single pointer independent of the number of stored elements. Intrusive lists are often used in low-level code like in operating system kernels. E.g. they can be used for storing elements that represent threads that are blocked and waiting on queue. In that case the stored elements can be on the call stack of the caller of each blocked thread, since the call stack won't change as long as the thread is blocked. ### Application in Futures This library brings this idea into the world of Rusts `Future`s. Due to the addition of `Pin`ning, the address of a certain `Future` is not allowed to change between the first call to `poll()` and when the `Future` is dropped. This means the data inside the `Future` itself can be inserted into an intrusive container. If the the call to `Future::poll()` is not immedately ready, some parts of the `Future` itself are registered in the type which yielded the `Future`. Each `Future` can store a `Waker`. When the original type becomes ready, it can iterate through the list of registered `Future`s, wakeup associated tasks, and potentially remove them from its queue. The result is that the future-yielding type is not required to copy an arbitrary number of `Waker` objects into itself, and thereby does not require dynamic memory for this task. When a `Future` gets destructed/dropped, it must make sure to remove itself from any collections that refer to it to avoid invalid memory accesses. This library implements common synchronization primitives for the usage in asychronous code based on this concept. The implementation requires the usage of a fair chunk of `unsafe` annotations. However the provided user-level API is intended to be fully safe. ## Features of this library The following types are currently implemented: - Channels (oneshot and multi-producer-multi-consumer) - Synchronization primitives (async mutexes and events) - Timers ## Design goals for the library - Provide implementations of common synchronization primitives in a platform independent fashion. - Support `no-std` environments. As many types as possible are also provided for `no-std` environments. The library should boost the ability to use async Rust code in environments like: - Microcontrollers (RTOS and bare-metal) - Kernels - Drivers - Avoid dynamic memory allocations at runtime. After objects from this library have been created, they should not require allocation of any further memory at runtime. E.g. they should not need to allocate memory for each call to an asynchronous function or each time a new task accesses the same object in parallel. - Offer familiar APIs. The library tries to mimic the APIs of existing Rust libraries like the standard library and `futures-rs` as closely as possible. ## Non goals - Provide IO primitives (like sockets), or platform specific implementations. - Reach the highest possible performance in terms of throughput and latency. While code in this library is optimized for performance, portability and deterministic memory usage are more important goals. - Provide future wrappers for platform-specific APIs. ## Local, Non-local and shared flavors The library provides types in a variety of flavors: - A local flavor (e.g. [`channel::LocalChannel`]) - A non-local flavor (e.g. [`channel::Channel`]) - A shared flavor (e.g. [`channel::shared::Sender`]) - A generic flavor (e.g. [`channel::GenericChannel`] and [`channel::shared::GenericSender`]) The difference between these types lie in their thread-safety. The non-local flavors of types can be accessed from multiple threads (and thereby also futures tasks) concurrently. This means they implement the `Sync` trait in addition to the `Send` trait. The local flavors only implement the `Send` trait. ### Local flavor The local flavors will require no internal synchronization (e.g. internal Mutexes) and can therefore be provided for all platforms (including `no-std`). Due the lack of required synchronization, they are also very fast. It might seem counter-intuitive to provide synchronization primitives that only work within a single task. However there are a variety of applications where these can be used to coordinate sub-tasks (futures that are polled on a single task concurrently). The following example demonstrates this use-case: ``` # use futures::join; # use futures_intrusive::sync::LocalManualResetEvent; async fn async_fn() { let event = LocalManualResetEvent::new(false); let task_a = async { // Wait for the event event.wait().await; // Do something with the knowledge that task_b reached a certain state }; let task_b = async { // Some complex asynchronous workflow here // ... // Signal task_a event.set(); }; join!(task_a, task_b); } ``` ### Non-local flavor The non-local flavors can be used between arbitrary tasks and threads. They use internal synchronization for this in form of an embedded `Mutex` of [`parking_lot::Mutex`] type. The non-local flavors are only available in `alloc` environments. ### Shared flavor For some types a shared flavor is provided. Non-local flavors of types are `Sync`, but they still can only be shared by reference between various tasks. Shared flavors are also `Sync`, but the types additionally implement the `Clone` trait, which allows duplicating the object, and passing ownership of it to a different task. These types allow avoiding references (and thereby lifetimes) in some scenarios, which makes them more convenient to use. The types also return `Future`s which do not have an associated lifetime. This allows using those types as implementations of traits without the need for generic associated types (GATs). Due to the requirement of atomic reference counting, these types are currently only available for `alloc` environments. ### Generic flavor The generic flavors of provided types are parameterized around a [`lock_api::RawMutex`] type. These form the base for the non-local and shared flavors which simply parameterize the generic flavor in either a non-thread-safe or thread-safe fashion. Users can directly use the generic flavors to adapt the provided thread-safe types for use in `no-std` environments. E.g. by providing a custom [`lock_api::RawMutex`] implementation, the following platforms can be supported: - For RTOS platforms, RTOS-specific mutexes can be wrapped. - For kernel development, spinlock based mutexes can be created. - For embedded development, mutexes which just disable interrupts can be utilized. ## Relation to types in other libraries Other libraries (e.g. `futures-rs` and `tokio`) provide many primitives that are comparable feature-wise to the types in this library. The most important differences are: - This library has a bigger focus on `no-std` environments, and does not only try to provide an implementation for `alloc` or `std`. - The types in this library do not require dynamic memory allocation for waking up an arbitrary number of tasks waiting on a particular `Future`. Other libraries typically require heap-allocated nodes of growing vectors for handling a varying number of tasks. - The `Future`s produced by this library are all `!Unpin`, which might make them less ergonomic to use.