rust-crdt/rust-crdt
Rust Crdt
This project provides a collection of conflict-free replicated data types implemented in Rust, designed to enable deterministic state synchronization across distributed systems. It functions as a framework for maintaining data consistency in decentralized environments where central coordination is absent.
The library facilitates distributed state synchronization by tracking causal context and unique actor identifiers for every participant. This approach allows the system to resolve concurrent modifications through mathematical lattice structures, ensuring that all replicas converge to the same state regardless of the order in which updates are received.
Users can manage data replication through either state-based synchronization, which propagates full snapshots, or operation-based propagation, which broadcasts incremental mutation events. These mechanisms support the development of offline-first applications by allowing local modifications to be merged consistently once network connectivity is restored.
Features
- Conflict-Free Replicated Data Types - Provides a collection of conflict-free replicated data types for deterministic state synchronization in distributed systems.
- Rust-Based CRDT Implementations - Offers a high-performance library of serializable conflict-free replicated data types implemented in Rust.
- Lattice-Based Data Merging - Uses mathematical lattice structures to guarantee deterministic state merging across independent system participants.
- Vector Clocks - Implements vector clocks to track causal dependencies and ensure logically consistent state convergence across distributed replicas.
- Data Sync Conflict Resolution - Resolves concurrent data conflicts deterministically by leveraging causal context and actor identifiers.
- Distributed State Synchronization - Maintains consistent distributed state across nodes using conflict-free data types and automated synchronization models.
- Actor Identity Tracking - Provides mechanisms to track unique participant identities to distinguish concurrent modifications in distributed data structures.
- Database State Replication - Facilitates data replication through both full state snapshots and incremental operation logs to optimize network performance.
- Data Synchronization and Consistency - Provides a framework of data structures that resolve concurrent modifications to ensure eventual consistency.
- Consistency Models - Ensures eventual consistency in decentralized environments where network partitions prevent real-time communication.
- Concurrent State Merging - Enables state-based synchronization by propagating full snapshots and merging them using idempotent functions.
- Offline-First Synchronization - Supports offline-first application development by allowing local modifications that merge seamlessly upon reconnection.
- Replicated State Machines - Implements a toolkit for synchronizing distributed state via snapshots or operation logs to maintain consistency.
- CRDT State Propagation - Supports operation-based propagation to broadcast incremental mutation events between distributed peers.
Star history
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