goraft/raftArchived
Raft
Raft is a Go library implementing the Raft consensus protocol for coordinating reliable state machine replication across a cluster. It functions as a distributed systems library for building applications that require strongly consistent replicated state, keeping distributed nodes synchronized and fault-tolerant through automated node elections and log distribution.
The library conducts periodic node elections using majority votes to designate a single data authority and prevent split-brain conflicts, while distributing deterministic command logs from leaders to follower nodes using a multi-phase commit process to ensure identical state machines cluster-wide. It handles cluster topology by modifying active node membership dynamically through added or removed instances without interrupting consensus operations. Additionally, it truncates historical log entries and saves storage snapshots to reclaim disk space and accelerate node recovery times, transmitting cluster coordination messages and consensus traffic between distributed nodes using standard network communication protocols.
Features
- Raft Consensus Implementations - Implements the Raft consensus protocol in Go applications to keep distributed nodes synchronised and fault-tolerant.
- Distributed Leader Election - Executes majority-vote leader elections to designate a single active data authority and prevent split-brain conflicts.
- Consensus Log Replication - Distributes state change entries from the leader to follower nodes to maintain consistent data across the cluster.
- Leader Election - Conducts periodic node elections using majority votes to designate a single data authority.
- Quorum-Based Elections - Runs automated node elections with majority voting to elect a single active data authority.
- Application State Machines - Applies committed transaction logs sequentially to local state machines for consistent cluster-wide storage.
- Replicated State Machines - Maintains identical state across all nodes by applying an ordered sequence of replicated transaction logs.
- Dynamic Cluster Membership Management - Coordinates the addition and removal of cluster nodes dynamically without interrupting active operations.
- Log Compaction - Truncates historical log entries and saves storage snapshots to accelerate node recovery times.
- Snapshot-Based Compactions - Captures full state machine snapshots and truncates historical logs to reclaim disk space.
