poptrie 0.1.1

A pure-rust implementation of poptrie
Documentation
Poptrie
====
A pure Rust implementation of [Poptrie](https://dl.acm.org/doi/abs/10.1145/2829988.2787474), a data structure for efficient longest-prefix matching (LPM) lookups.

Poptrie uses bitmaps combined with the popcount instruction to achieve very fast longest-prefix lookups. 
During lookup, the key is consumed in the biggest step that can be represented in a bitmap for which the native popcount instruction exists (i.e. 6-bit steps in a 64-bit bitmap).
It is similar to how a tree-bitmap works, but with a more contiguous use of memory, trading insertion speed for cache locality.

This is particularly useful for IP routing tables, where the longest-prefix matching is a common operation and insertions are comparatively rare.

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### Features

- Pure rust, `no_std`, no external dependencies, no `unsafe` code. Does require `alloc`.
- Generic over key type (e.g. `u32` for IPv4, `u128` for IPv6).
- Supports insertion, deletion, contains, and lookup operations.

## Usage

### Installation

```bash
cargo add poptrie
```
### Example

``` rust
use poptrie::Poptrie;

// Create a routing table for IPv4 addresses
let mut trie = Poptrie::<u32, &str>::new();

// Insert prefixes with their associated values
trie.insert(u32::from_be_bytes([192, 168, 0, 0]), 16, "192.168.0.0/16");
trie.insert(u32::from_be_bytes([192, 168, 1, 0]), 24, "192.168.1.0/24");
trie.insert(u32::from_be_bytes([10, 0, 0, 0]), 8, "10.0.0.0/8");

// Longest prefix match — 192.168.1.x matches the more specific /24
assert_eq!(trie.lookup(u32::from_be_bytes([192, 168, 1, 5])), Some(&"192.168.1.0/24"));
assert_eq!(trie.lookup(u32::from_be_bytes([192, 168, 2, 5])), Some(&"192.168.0.0/16"));
assert_eq!(trie.lookup(u32::from_be_bytes([8, 8, 8, 8])), None);

// Check and remove a prefix
assert!(trie.contains_key(u32::from_be_bytes([192, 168, 1, 0]), 24));
trie.remove(u32::from_be_bytes([192, 168, 1, 0]), 24);

// 192.168.1.x now falls back to the /16
assert_eq!(trie.lookup(u32::from_be_bytes([192, 168, 1, 5])), Some(&"192.168.0.0/16"));
```

### API

| Function | Description |
|---|---|
| `new()` | Construct a new, empty poptrie |
| `insert(key, key_length, value)` | Insert a value associated with the given prefix |
| `lookup(key)` | Longest-prefix match lookup, returns `Option<&V>` |
| `contains_key(key, key_length)` | Returns `true` if the exact prefix is present |
| `remove(key, key_length)` | Remove a prefix and return its value |

### Lookup performance

This crate's lookup performance beats other trie-based implementations, including the original poptrie ([pixos/poptrie](https://github.com/pixos/poptrie)).

Benchmarked with random lookups on tables of 1k, 10k and 100k random prefixes. 
All contenders were built with `RUSTFLAGS="-C target-cpu=native"`, which enables the use of architecture-specific instructions, if available. 
This is critical for performance as the poptrie relies on native `POPCNT` and bit manipulation instructions (e.g. `BEXTR` on x86) to achieve its performance characteristics.

| Implementation | 1k prefixes | 10k prefixes | 100k prefixes |
|---|---|---|---|
| **nicolaskagami/poptrie** (this crate) | 462.9 Mlookups/s | 326.6 Mlookups/s | 171.1 Mlookups/s |
| [pixos/poptrie]https://github.com/pixos/poptrie (with Rust bindings) | 402.9 Mlookups/s | 322.6 Mlookups/s | 161.24 Mlookups/s |
| [tiborschneider/prefix-trie]https://github.com/tiborschneider/prefix-trie | 296.9 Mlookups/s | 292.9 Mlookups/s | 110.5 Mlookups/s |
| [oxidecomputer/poptrie]https://github.com/oxidecomputer/poptrie | 270.1 Mlookups/s | 197.7 Mlookups/s | 86.9 Mlookups/s |

> Benchmarked on an AMD Ryzen 9 7900 (12-core, x86_64), Linux kernel 6.18, rustc 1.93.1.

Running the benchmarks:

``` bash
RUSTFLAGS="-C target-cpu=native" cargo bench
```

### Reference 

Asai, Hirochika, and Yasuhiro Ohara. **[Poptrie: A Compressed Trie with Population Count for Fast and Scalable Software IP Routing Table Lookup](https://doi.org/10.1145/2829988.2787474)** ACM SIGCOMM Computer Communication Review 45.4 (2015): 57-70.

### License 

This project is licensed under either of:

- [MIT License]LICENSE-MIT
- [Apache License, Version 2.0]LICENSE-APACHE