Awesome
A QP-Trie implementation for Rust
API documentation
A qp-trie is a fast and compact associative array.
It is similar to a crit-bit trie, with a larger fan-out per internal node to save memory and reduce lookup costs.
It supports the following operations at high speed:
- See whether a key is in the trie and retrieve an optional associated value
- Add a
(key, value)
pair to the trie - Remove a key from the trie
- Find all keys matching a given prefix
This implementation uses 4 bits per index and doesn't require keys to be zero-terminated.
Example
use qptrie::Trie;
let mut trie = Trie::new();
trie.insert("key number one", 1);
trie.insert("key number two", 2);
for (k, v) in trie.prefix_iter(&"key").include_prefix() {
println!("{} => {}", k, v);
}
trie.remove(&"key number one");
let v = trie.get(&"key number two").unwrap();
Benchmarks
~500,000 4-bytes keys accessed in random order
(source),
using rustc 1.15.0-dev (d9aae6362 2016-12-08)
:
test test::bench_btreemap_get ... bench: 112,349,209 ns/iter (+/- 9,450,753)
test test::bench_btreemap_insert ... bench: 115,952,204 ns/iter (+/- 7,066,195)
test test::bench_hashmap_get ... bench: 52,239,122 ns/iter (+/- 2,225,861)
test test::bench_hashmap_insert ... bench: 60,889,965 ns/iter (+/- 27,314,557)
test test::bench_qptrie_get ... bench: 51,843,861 ns/iter (+/- 18,878,702)
test test::bench_qptrie_insert ... bench: 67,449,566 ns/iter (+/- 16,887,173)
qp-tries are more than twice as fast as Rust's BTreeMap
, and roughly as
fast as Rust's excellent HashMap
implementation while being more
compact and allowing range queries.