Expand description
static friendly data structures that don’t require dynamic memory allocation
The core principle behind heapless is that its data structures are backed by a static memory
allocation. For example, you can think of heapless::Vec as an alternative version of
std::Vec with fixed capacity and that can’t be re-allocated on the fly (e.g. via push).
All heapless data structures store their memory allocation inline and specify their capacity
via their type parameter N. This means that you can instantiate a heapless data structure on
the stack, in a static variable, or even in the heap.
use heapless::Vec; // fixed capacity `std::Vec`
// on the stack
let mut xs: Vec<u8, 8> = Vec::new(); // can hold up to 8 elements
xs.push(42).unwrap();
assert_eq!(xs.pop(), Some(42));
// in a `static` variable
static mut XS: Vec<u8, 8> = Vec::new();
let xs = unsafe { &mut XS };
xs.push(42);
assert_eq!(xs.pop(), Some(42));
// in the heap (though kind of pointless because no reallocation)
let mut ys: Box<Vec<u8, 8>> = Box::new(Vec::new());
ys.push(42).unwrap();
assert_eq!(ys.pop(), Some(42));Because they have fixed capacity heapless data structures don’t implicitly reallocate. This
means that operations like heapless::Vec.push are truly constant time rather than amortized
constant time with potentially unbounded (depends on the allocator) worst case execution time
(which is bad / unacceptable for hard real time applications).
heapless data structures don’t use a memory allocator which means no risk of an uncatchable
Out Of Memory (OOM) condition while performing operations on them. It’s certainly possible to
run out of capacity while growing heapless data structures, but the API lets you handle this
possibility by returning a Result on operations that may exhaust the capacity of the data
structure.
List of currently implemented data structures:
Arc– Thread-safe reference-counting pointer backed by a memory poolBinaryHeap– priority queueIndexMap– hash tableIndexSet– hash setLinearMapPool– lock-free memory poolStringVecmpmc::Q*– multiple producer multiple consumer lock-free queuespsc::Queue– single producer single consumer lock-free queue
Optional Features
The heapless crate provides the following optional Cargo features:
ufmt-impl: Implementufmt_write::uWriteforString<N>andVec<u8, N>
Minimum Supported Rust Version (MSRV)
This crate is guaranteed to compile on stable Rust 1.51 and up with its default set of features. It might compile on older versions but that may change in any new patch release.
Re-exports
pub use binary_heap::BinaryHeap;pub use indexmap::Bucket;pub use indexmap::Pos;
Modules
- A priority queue implemented with a binary heap.
- A fixed sorted priority linked list, similar to
BinaryHeapbut with different properties onpush,pop, etc. For example, the sorting of the list will nevermemcpythe underlying value, so having large objects in the list will not cause a performance hit.
Structs
- A fixed capacity double-ended queue.
- A “history buffer”, similar to a write-only ring buffer of fixed length.
- Fixed capacity
IndexMap - Fixed capacity
IndexSet. - A fixed capacity map / dictionary that performs lookups via linear search
- An occupied entry which can be manipulated
- An iterator on the underlying buffer ordered from oldest data to newest
- A fixed capacity
String - A view into an empty slot in the underlying map
- A fixed capacity
Vec
Enums
- A view into an entry in the map
Type Aliases
- A
heapless::IndexMapusing the default FNV hasher - A
heapless::IndexSetusing the default FNV hasher. A list of all Methods and Traits available forFnvIndexSetcan be found in theheapless::IndexSetdocumentation.