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Raft Consensus Algorithm Implementation

Overview

This project is an implementation of the Raft consensus algorithm in Python. Raft is a consensus algorithm designed as an alternative to Paxos, aiming to be more understandable and easier to implement.

Features

  • Leader Election: Handles the election of a leader among nodes.
  • Log Replication: Ensures that the logs are consistently replicated across the nodes.
  • Fault Tolerance: Continues to operate correctly even if some nodes fail.
  • Multithreading: Uses multithreading for efficient processing.
  • gRPC Communication: Employs gRPC for robust communication between server-server and client-server nodes.

Tech Stack

  • Python: Core language for implementation.
  • gRPC: For communication between nodes.
  • Multithreading: For concurrent operations.

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/raft-consensus-algorithm.git
cd raft-consensus-algorithm

  2. Install dependencies:

    pip install -r requirements.txt

Usage

  1. Start the server nodes:

    python server.py --id <node_id>

  2. Start the client:

    python client.py

  3. Interacting with the system:

    • Use the client to send commands to the Raft cluster.
    • Monitor logs to observe the consensus process.

Code Structure

  • server.py: Contains the implementation of the server nodes.
  • client.py: Contains the client-side code to interact with the Raft cluster.
  • raft.py: Core implementation of the Raft algorithm.
  • logs/: Directory where logs are stored for each node.