Doublets

LinksPlatform's Rust implementation of Doublets (associative storage links).

Rust port of Data.Doublets library.

Overview

Doublets is an associative data structure that represents a link store where each link consists of:

• Index - unique identifier of the link
• Source - the link's source (can reference itself or another link)
• Target - the link's target (can reference itself or another link)

This simple yet powerful structure can represent any data model, from traditional key-value pairs to complex graph structures. Doublets provide a unified approach to data storage with constant-time lookup operations using size-balanced trees.

Key Features

• File-mapped storage - data persists directly to disk using memory-mapped files
• Generic link types - supports any unsigned integer type (u8, u16, u32, u64, usize)
• Two storage modes:
  • unit::Store - combined data and index storage in a single memory region
  • split::Store - separated data and index storage for optimized memory layouts
• Thread-safe - Send and Sync implementations for concurrent access
• Query system - flexible pattern matching using any constants
• FFI bindings - C-compatible foreign function interface for cross-language integration

Installation

Add to your Cargo.toml:

[dependencies]
doublets = "0.5.0"

Use stable Rust 1.85 or newer. The repository's rust-toolchain.toml selects the stable channel, and the crate declares rust-version = "1.85" in doublets/Cargo.toml.

rustup toolchain install stable
cargo +stable build

Example

Basic CRUD operations with doublets:

use doublets::{mem, unit, Doublets, DoubletsExt, Link, Links};
use data::Flow;

fn main() -> Result<(), doublets::Error<usize>> {
    // Use file as persistent storage for doublets
    let mem = mem::FileMapped::from_path("db.links")?;
    let mut store = unit::Store::<usize, _>::new(mem)?;

    // Create a point link (a link that references itself as both source and target)
    // Point: 1 -> (1, 1)
    let point = store.create_point()?;
    println!("Created point: {}", point);

    // Create a regular link with explicit source and target
    // Link: 2 -> (1, 1)
    let link = store.create_link(point, point)?;
    println!("Created link: {}", link);

    // The `any` constant matches any link in queries
    let any = store.constants().any;

    // Count all links in the store
    println!("Total links: {}", store.count());

    // Iterate over all links using pattern [any, any, any]
    println!("All links:");
    store.each_iter([any, any, any]).for_each(|link| {
        println!("  {}: {} -> {}", link.index, link.source, link.target);
    });

    // Query links by source: find all links where source = point
    println!("Links with source = {}:", point);
    store.each_iter([any, point, any]).for_each(|link| {
        println!("  {}: {} -> {}", link.index, link.source, link.target);
    });

    // Update a link: change the target
    let updated = store.update(link, point, link)?;
    println!("Updated link {} to target {}", link, updated);

    // Delete a link with a callback handler
    store.delete_with(link, |before, after| {
        println!("Deleted: {:?} => {:?}", before, after);
        Flow::Continue
    })?;

    // Clean up: delete all remaining links
    store.delete_all()?;

    Ok(())
}

Using In-Memory Storage

For testing or temporary data, you can use heap-allocated memory instead of file storage:

use doublets::{mem, unit, Doublets, Links};

fn main() -> Result<(), doublets::Error<usize>> {
    // Use global allocator for in-memory storage
    let mem = mem::Global::new();
    let mut store = unit::Store::<usize, _>::new(mem)?;

    // Create some links
    for i in 0..100 {
        store.create_point()?;
    }

    println!("Created {} links", store.count());
    Ok(())
}

Using Split Storage

Split storage separates data and index trees for potentially better cache utilization:

use doublets::{split::Store, Doublets, Links};
use mem::Global;

fn main() -> Result<(), doublets::Error<usize>> {
    let mut store = Store::<usize, _, _>::new(Global::new(), Global::new())?;

    // Create 1 million point links
    for _ in 0..1_000_000 {
        store.create_point()?;
    }

    println!("Total links: {}", store.count());
    Ok(())
}

API Overview

Core Traits

Main Types

Key Operations

// Create operations
store.create()?;                      // Create empty link
store.create_point()?;                // Create self-referencing link
store.create_link(source, target)?;   // Create link with source and target

// Read operations
store.count();                        // Count all links
store.count_by([any, source, any]);   // Count by pattern
store.get_link(index);                // Get link by index
store.search(source, target);         // Find link by source and target
store.iter();                         // Iterate all links
store.each_iter(query);               // Iterate by pattern

// Update operations
store.update(index, source, target)?; // Update link

// Delete operations
store.delete(index)?;                 // Delete link
store.delete_all()?;                  // Delete all links

Decorators

Optional policy layers, ported from Platform.Data.Doublets. Each one is a generic struct that owns the store below it, so a chosen stack is a single concrete type that the optimiser fuses into one create / update / delete / each:

use doublets::{decorators::{DecoratorsExt, Resolve}, mem, unit, Doublets};

fn main() -> Result<(), doublets::Error<usize>> {
    let mut store = unit::Store::<usize, _>::new(mem::Global::new())?
        .with_uniqueness(Resolve)
        .with_usages_validation();

    let a = store.create_point()?;
    let b = store.create_point()?;

    // Creating the same doublet twice returns the existing link instead of a duplicate.
    assert_eq!(store.create_link(a, b)?, store.create_link(a, b)?);
    Ok(())
}

See doublets/examples/uniqueness.rs for a before/after comparison.

Sequences and Unicode strings

doublets::sequences provides the store-backed converter pipeline from Platform.Data.Doublets.Sequences 0.6.5. It is available with all feature configurations and adds no dependencies. Use converters, walkers and unicode submodules or import their types directly from sequences.

The pipeline stores each UTF-16 code unit as (raw number, symbol marker), pairs adjacent symbols into a balanced sequence, and wraps the root as (root, sequence marker). The sequence marker represents the empty string. Supply your own marker addresses and enable external references when opening the store with LinksConstants::external().

See doublets/examples/unicode_strings.rs for a complete encoding, decoding and caching example:

cargo run -p doublets --example unicode_strings

The character converters use u16, matching C# char. String conversion uses UTF-16, including surrogate pairs; convert_utf16 methods also preserve lone surrogates that cannot form a Rust String. Numeric overflow, missing links, wrong markers and cyclic sequences return typed errors. The sequence walker offers both a lazy iterator and a collected result, preserves repeated subtrees, and uses a heap stack. Clear conversion caches when modifying or deleting their underlying links.

Architecture

doublets-rs/
├── doublets/           # Core library
│   ├── src/
│   │   ├── data/       # Core data structures (Link, Doublet, traits)
│   │   └── mem/        # Memory management and storage
│   │       ├── unit/   # Combined storage implementation
│   │       └── split/  # Split storage implementation
│   └── benches/        # Performance benchmarks
├── doublets-ffi/       # C FFI bindings
├── dev-deps/           # Platform dependencies
│   ├── data-rs/        # Data primitives (LinkType, Flow, etc.)
│   ├── mem-rs/         # Memory abstractions (RawMem, FileMapped)
│   └── trees-rs/       # Tree structures (size-balanced trees)
└── integration/        # Integration tests

Features

Performance

The library is optimized for high-throughput operations:

• Size-balanced trees for O(log n) search, insert, and delete operations
• Memory-mapped files for efficient disk I/O
• Optional parallel iteration with rayon feature
• Benchmarks show creation of 1 million points in ~1 second on modern hardware

Run benchmarks:

cargo bench --all-features

Related Projects

• Data.Doublets - C# implementation
• Comparisons.SQLiteVSDoublets - Performance comparison with SQLite

Documentation

• API Documentation (when published)
• LinksPlatform Overview

Dependencies

• platform-data - Core data types
• platform-mem - Memory abstractions
• platform-trees - Tree implementations

Support

• Ask questions at stackoverflow.com/tags/links-platform (use tag links-platform)
• Join our Discord server for real-time support
• Open issues on GitHub

License

This project is released into the public domain under the Unlicense.