The Raft Consensus Algorithm
Raft is a consensus algorithm designed as a more understandable alternative to Paxos. It ensures that all servers in a distributed system agree on a single, consistent log of commands, even in the presence of failures. Raft simplifies the problem by breaking it down into three sub-problems:
- Leader Election: If the current leader fails or is unreachable, a new leader must be elected.
- Log Replication: The leader accepts new log entries and replicates them to the follower servers.
- Safety: Raft guarantees that committed log entries are consistent across all servers and will never be overwritten or lost.
How Raft Works:
Raft nodes can be in one of three states: Leader, Follower, or Candidate.
Leader Election:
- Each node starts as a follower.
- Followers wait for heartbeats from the leader.
- If a follower doesn’t receive a heartbeat within a timeout period, it becomes a candidate.
- The candidate requests votes from other nodes.
- If a candidate receives a majority of votes, it becomes the new leader.
Log Replication:
- The leader receives client requests and appends them to its log.
- The leader then replicates these entries to the followers.
- Each log entry includes a term number (which increases monotonically with each election) and an index.
Safety:
- Raft ensures safety through several mechanisms:
- Election Restrictions: Only a candidate with an up-to-date log can be elected leader.
- Log Matching: The leader forces followers to match its log before committing entries.
- Committing Entries: An entry is committed once a majority of followers in the current term have replicated it.
- Raft ensures safety through several mechanisms:
Simplified Example (Conceptual JavaScript):
// Server states
const FOLLOWER = 0;
const CANDIDATE = 1;
const LEADER = 2;
// Server object (simplified)
function Server(id) {
this.id = id;
this.state = FOLLOWER;
this.term = 0;
this.log = [];
// ... other properties like votedFor, timeout, etc.
}
// Example of a server receiving a vote request
Server.prototype.onRequestVote = function(term, candidateId) {
if (term > this.term && this.votedFor === null) {
this.votedFor = candidateId;
this.term = term;
// Send vote granted message to candidate
return true;
}
return false;
};
// Example of leader appending an entry
Server.prototype.appendEntry = function(term, entry) {
if (term >= this.term) {
this.term = term;
this.log.push(entry);
// Send append successful message to leader
return true;
}
return false;
};
// Create some servers
const server1 = new Server(1);
const server2 = new Server(2);
const server3 = new Server(3);
// ... election logic, heartbeat logic, client interaction logic, etc. would go here
Key Advantages of Raft:
- Understandability: Raft’s design focuses on understandability, making it easier to implement and reason about.
- Strong Leader: Having a single leader simplifies log replication and other operations.
- Fault Tolerance: Raft can tolerate the failure of a minority of servers.
Raft is a powerful consensus algorithm that provides a robust foundation for building distributed systems. Its simplicity and clarity make it an attractive alternative to more complex algorithms like Paxos.