In memory of Anna Harren, who coined the term turbofish - which you'll see a lot of if you use this crate.
The main purpose of this crate is the HarrenVec
type - a Vec
-like data structure that can store items of different types and sizes from each other.
```rust use hvec::hvec;
// Make a list that can contain any type let list = hvec![ 1usize, 2usize, 999usize, "Wow, big number!".tostring(), 3_usize, ];
// Make an iterator (unfortunately can't use for
loops)
let mut iter = list.into_iter();
// Use next
with the turbofish to step through elements of different types
let mut total = 0;
while let Some(number) = iter.next::
The sum_with_optionals
benchmark in this repo measures the relative time taken to iterate over a collection of small pieces of data with larger pieces of data sparsely distributed within the same collection.
This is accomplished three ways:
HVec
(so there is no indirection and minimal storage overhead)```rust // 128 bytes struct Extra { array: [f32; 32], }
// 136 bytes (including the tag for the Option enum)
struct BigStruct {
number: f32,
extra: Option
// 12 bytes on the stack (plus 128 on the heap)
struct BoxStruct {
number: f32,
extra: Option
// 8 bytes, bool indicates whether an Extra
will be packed next to it
struct BareStruct {
number: f32,
has_extra: bool,
}
```
The BigStruct
and BoxStruct
structures encode within the struct whether the Extra
data is included, thus either inflating the size of the struct, or adding a layer of indirection to the heap.
The BareStruct
just has a flag that indicates whether the Extra
data will follow it in-band.
| Benchmark | When ~50% have Extra | When ~10% have Extra | When ~1% have Extra | | - | - | - | - | | BigStruct, 1000x | 38.910µs | 24.111µs | 19.717µs | | BoxStruct, 1000x | 49.197µs | 15.292µs | 2.6134µs | | HVec, 1000x | 27.757µs | 11.132µs | 5.6643µs | | - | - | - | - | | BigStruct, 4000x | 156.29µs | 95.310µs | 79.063µs | | BoxStruct, 4000x | 220.69µs | 62.703µs | 10.651µs | | HVec, 4000x | 114.26µs | 45.898µs | 22.677µs | | - | - | - | - | | BigStruct, 16000x | 676.91µs | 399.65µs | 339.60µs | | BoxStruct, 16000x | 928.10µs | 266.41µs | 41.443µs | | HVec, 16000x | 460.43µs | 181.65µs | 90.787µs |
If you were to judge by these benchmarks: unless the larger data included in your collection is very rare, HVec
can be a more time and space efficient way to store and iterate over it.