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A multithreaded and single threaded string interner that allows strings to be cached with a minimal memory footprint,
associating them with a unique [key] that can be used to retrieve them at any time. A [Rodeo] allows O(1)
internment and resolution and can be turned into a [RodeoReader] to allow for contention-free resolutions
with both key to str and str to key operations. It can also be turned into a [RodeoResolver] with only
key to str operations for the lowest possible memory usage.
For single-threaded workloads [Rodeo] is encouraged, while multi-threaded applications should use [ThreadedRodeo].
Both of these are the only way to intern strings, but most applications will hit a stage where they are done interning
strings, and at that point is where the choice between [RodeoReader] and [RodeoResolver]. If the user needs to get
keys for strings still, then they must use the [RodeoReader] (although they can still transfer into a [RodeoResolver])
at this point. For users who just need key to string resolution, the [RodeoResolver] gives contention-free access at the
minimum possible memory usage. Note that to gain access to [ThreadedRodeo] the multi-threaded feature is required.
| Interner | Thread-safe | Intern String | str to key | key to str | Contention Free | Memory Usage |
|---|---|---|---|---|---|---|
[Rodeo] |
❌ | ✅ | ✅ | ✅ | N/A | Medium |
[ThreadedRodeo] |
✅ | ✅ | ✅ | ✅ | ❌ | Most |
[RodeoReader] |
✅ | ❌ | ✅ | ✅ | ✅ | Medium |
[RodeoResolver] |
✅ | ❌ | ❌ | ✅ | ✅ | Least |
By default lasso has one dependency, hashbrown, and only [Rodeo] is exposed. Hashbrown is used since the [raw_entry api] is currently unstable in the standard library's hashmap.
The raw hashmap API is used for custom hashing within the hashmaps, which works to dramatically reduce memory usage
To make use of [ThreadedRodeo], you must enable the multi-threaded feature.
multi-threaded - Enables [ThreadedRodeo], the interner for multi-threaded tasksahasher - Use [ahash]'s RandomState as the default hasherno-std - Enables no_std + alloc support for [Rodeo] and [ThreadedRodeo]ahasher - no_std hashing functionserialize - Implements Serialize and Deserialize for all Spur types and all internersinline-more - Annotate external apis with #[inline]use lasso::Rodeo;
let mut rodeo = Rodeo::default();
let key = rodeo.get_or_intern("Hello, world!");
// Easily retrieve the value of a key and find the key for values
assert_eq!("Hello, world!", rodeo.resolve(&key));
assert_eq!(Some(key), rodeo.get("Hello, world!"));
// Interning the same string again will yield the same key
let key2 = rodeo.get_or_intern("Hello, world!");
assert_eq!(key, key2);
use lasso::ThreadedRodeo;
use std::{thread, sync::Arc};
let rodeo = Arc::new(ThreadedRodeo::default());
let key = rodeo.get_or_intern("Hello, world!");
// Easily retrieve the value of a key and find the key for values
assert_eq!("Hello, world!", rodeo.resolve(&key));
assert_eq!(Some(key), rodeo.get("Hello, world!"));
// Interning the same string again will yield the same key
let key2 = rodeo.get_or_intern("Hello, world!");
assert_eq!(key, key2);
// ThreadedRodeo can be shared across threads
let moved = Arc::clone(&rodeo);
let hello = thread::spawn(move || {
assert_eq!("Hello, world!", moved.resolve(&key));
moved.get_or_intern("Hello from the thread!")
})
.join()
.unwrap();
assert_eq!("Hello, world!", rodeo.resolve(&key));
assert_eq!("Hello from the thread!", rodeo.resolve(&hello));
use lasso::Rodeo;
// Rodeo and ThreadedRodeo are interchangeable here
let mut rodeo = Rodeo::default();
let key = rodeo.get_or_intern("Hello, world!");
assert_eq!("Hello, world!", rodeo.resolve(&key));
let reader = rodeo.into_reader();
// Reader keeps all the strings from the parent
assert_eq!("Hello, world!", reader.resolve(&key));
assert_eq!(Some(key), reader.get("Hello, world!"));
// The Reader can now be shared across threads, no matter what kind of Rodeo created it
use lasso::Rodeo;
// Rodeo and ThreadedRodeo are interchangeable here
let mut rodeo = Rodeo::default();
let key = rodeo.get_or_intern("Hello, world!");
assert_eq!("Hello, world!", rodeo.resolve(&key));
let resolver = rodeo.into_resolver();
// Resolver keeps all the strings from the parent
assert_eq!("Hello, world!", resolver.resolve(&key));
// The Resolver can now be shared across threads, no matter what kind of Rodeo created it
Sometimes you want your keys to only inhabit (or not inhabit) a certain range of values so that you can have custom [niches]. This allows you to pack more data into what would otherwise be unused space, which can be critical for memory-sensitive applications.
use lasso::{Key, Rodeo};
// First make our key type, this will be what we use as handles into our interner
#[derive(Copy, Clone, PartialEq, Eq)]
struct NicheKey(u32);
// This will reserve the upper 255 values for us to use as niches
const NICHE: usize = 0xFF000000;
// Implementing `Key` is unsafe and requires that anything given to `try_from_usize` must produce the
// same `usize` when `into_usize` is later called
unsafe impl Key for NicheKey {
fn into_usize(self) -> usize {
self.0 as usize
}
fn try_from_usize(int: usize) -> Option<Self> {
if int < NICHE {
// The value isn't in our niche range, so we're good to go
Some(Self(int as u32))
} else {
// The value interferes with our niche, so we return `None`
None
}
}
}
// To make sure we're upholding `Key`'s safety contract, let's make two small tests
#[test]
fn value_in_range() {
let key = NicheKey::try_from_usize(0).unwrap();
assert_eq!(key.into_usize(), 0);
let key = NicheKey::try_from_usize(NICHE - 1).unwrap();
assert_eq!(key.into_usize(), NICHE - 1);
}
#[test]
fn value_out_of_range() {
let key = NicheKey::try_from_usize(NICHE);
assert!(key.is_none());
let key = NicheKey::try_from_usize(u32::max_value() as usize);
assert!(key.is_none());
}
// And now we're done and can make `Rodeo`s or `ThreadedRodeo`s that use our custom key!
let mut rodeo: Rodeo<NicheKey> = Rodeo::new();
let key = rodeo.get_or_intern("It works!");
assert_eq!(rodeo.resolve(&key), "It works!");
FromIteratoruse lasso::Rodeo;
use core::iter::FromIterator;
// Works for both `Rodeo` and `ThreadedRodeo`
let rodeo = Rodeo::from_iter(vec![
"one string",
"two string",
"red string",
"blue string",
]);
assert!(rodeo.contains("one string"));
assert!(rodeo.contains("two string"));
assert!(rodeo.contains("red string"));
assert!(rodeo.contains("blue string"));
use lasso::Rodeo;
use core::iter::FromIterator;
// Works for both `Rodeo` and `ThreadedRodeo`
let rodeo: Rodeo = vec!["one string", "two string", "red string", "blue string"]
.into_iter()
.collect();
assert!(rodeo.contains("one string"));
assert!(rodeo.contains("two string"));
assert!(rodeo.contains("red string"));
assert!(rodeo.contains("blue string"));
Benchmarks were gathered with Criterion.rs
OS: Windows 10
CPU: Ryzen 9 3900X at 3800Mhz
RAM: 3200Mhz
Rustc: Stable 1.44.1
| Method | Time | Throughput |
|---|---|---|
resolve |
1.9251 μs | 13.285 GiB/s |
try_resolve |
1.9214 μs | 13.311 GiB/s |
resolve_unchecked |
1.4356 μs | 17.816 GiB/s |
get_or_intern (empty) |
60.350 μs | 433.96 MiB/s |
get_or_intern (filled) |
57.415 μs | 456.15 MiB/s |
try_get_or_intern (empty) |
58.978 μs | 444.06 MiB/s |
try_get_or_intern (filled) |
57.421 μs | 456.10 MiB/s |
get (empty) |
37.288 μs | 702.37 MiB/s |
get (filled) |
55.095 μs | 475.36 MiB/s |
| Method | Time | Throughput |
|---|---|---|
try_resolve |
1.9282 μs | 13.264 GiB/s |
resolve |
1.9404 μs | 13.181 GiB/s |
resolve_unchecked |
1.4328 μs | 17.851 GiB/s |
get_or_intern (empty) |
38.029 μs | 688.68 MiB/s |
get_or_intern (filled) |
33.650 μs | 778.30 MiB/s |
try_get_or_intern (empty) |
39.392 μs | 664.84 MiB/s |
try_get_or_intern (filled) |
33.435 μs | 783.31 MiB/s |
get (empty) |
12.565 μs | 2.0356 GiB/s |
get (filled) |
26.545 μs | 986.61 MiB/s |
| Method | Time | Throughput |
|---|---|---|
resolve |
1.9014 μs | 13.451 GiB/s |
try_resolve |
1.9278 μs | 13.267 GiB/s |
resolve_unchecked |
1.4449 μs | 17.701 GiB/s |
get_or_intern (empty) |
32.523 μs | 805.27 MiB/s |
get_or_intern (filled) |
30.281 μs | 864.88 MiB/s |
try_get_or_intern (empty) |
31.630 μs | 828.00 MiB/s |
try_get_or_intern (filled) |
31.002 μs | 844.78 MiB/s |
get (empty) |
12.699 μs | 2.0141 GiB/s |
get (filled) |
29.220 μs | 896.28 MiB/s |
| Method | Time (1 Thread) | Throughput (1 Thread) | Time (24 Threads) | Throughput (24 Threads) |
|---|---|---|---|---|
resolve |
54.336 μs | 482.00 MiB/s | 364.27 μs | 71.897 MiB/s |
try_resolve |
54.582 μs | 479.82 MiB/s | 352.67 μs | 74.261 MiB/s |
get_or_intern (empty) |
266.03 μs | 98.447 MiB/s | N\A | N\A |
get_or_intern (filled) |
103.04 μs | 254.17 MiB/s | 441.42 μs | 59.331 MiB/s |
try_get_or_intern (empty) |
261.80 μs | 100.04 MiB/s | N\A | N\A |
try_get_or_intern (filled) |
102.61 μs | 255.25 MiB/s | 447.42 μs | 58.535 MiB/s |
get (empty) |
80.346 μs | 325.96 MiB/s | N\A | N\A |
get (filled) |
92.669 μs | 282.62 MiB/s | 439.24 μs | 59.626 MiB/s |
| Method | Time (1 Thread) | Throughput (1 Thread) | Time (24 Threads) | Throughput (24 Threads) |
|---|---|---|---|---|
resolve |
22.261 μs | 1.1489 GiB/s | 265.46 μs | 98.658 MiB/s |
try_resolve |
22.378 μs | 1.1429 GiB/s | 268.58 μs | 97.513 MiB/s |
get_or_intern (empty) |
157.86 μs | 165.91 MiB/s | N\A | N\A |
get_or_intern (filled) |
56.320 μs | 465.02 MiB/s | 357.13 μs | 73.335 MiB/s |
try_get_or_intern (empty) |
161.46 μs | 162.21 MiB/s | N\A | N\A |
try_get_or_intern (filled) |
55.874 μs | 468.73 MiB/s | 360.25 μs | 72.698 MiB/s |
get (empty) |
43.520 μs | 601.79 MiB/s | N\A | N\A |
get (filled) |
53.720 μs | 487.52 MiB/s | 360.66 μs | 72.616 MiB/s |
| Method | Time (1 Thread) | Throughput (1 Thread) | Time (24 Threads) | Throughput (24 Threads) |
|---|---|---|---|---|
try_resolve |
17.289 μs | 1.4794 GiB/s | 238.29 μs | 109.91 MiB/s |
resolve |
19.833 μs | 1.2896 GiB/s | 237.05 μs | 110.48 MiB/s |
get_or_intern (empty) |
130.97 μs | 199.97 MiB/s | N\A | N\A |
get_or_intern (filled) |
42.630 μs | 614.35 MiB/s | 301.60 μs | 86.837 MiB/s |
try_get_or_intern (empty) |
129.30 μs | 202.55 MiB/s | N\A | N\A |
try_get_or_intern (filled) |
42.508 μs | 616.12 MiB/s | 337.29 μs | 77.648 MiB/s |
get (empty) |
28.001 μs | 935.30 MiB/s | N\A | N\A |
get (filled) |
37.700 μs | 694.68 MiB/s | 292.15 μs | 89.645 MiB/s |
| Method | Time (1 Thread) | Throughput (1 Thr
$ claude mcp add lasso \
-- python -m otcore.mcp_server <graph>