MiniRaft-CPP is an implementation of the Raft consensus algorithm using C++20. This project leverages the coroio library for efficient asynchronous I/O operations. It aims to provide a clear and efficient representation of the Raft protocol, ensuring consistency and reliability in distributed systems.

• Leader Election: Manages the election process for choosing a new leader in the cluster.
• Log Replication: Consistently replicates logs across all nodes in the cluster.
• Safety: Guarantees the integrity and durability of committed entries.

• raft.h / raft.cpp: Implementation of the core Raft algorithm.
• messages.h / messages.cpp: Message definitions for node communication.
• timesource.h: Time-related functionalities for Raft algorithm timings.
• server.h / server.cpp: Server-side logic for handling client requests and node communication.
• client.cpp: Client-side implementation for cluster interaction.

• C++20 compatible compiler
• CMake for building the project
• Cmocka for unit testing

1. Clone the repository:

   git clone https://github.com/resetius/miniraft-cpp
   

2. Initialize and update the submodule:

   git submodule init
   git submodule update
   

3. Navigate to the project directory:

   cd miniraft-cpp
   

4. Build the project using CMake:

   cmake .
   make
   

This is a simple application designed to demonstrate log replication in the Raft consensus algorithm.

To start the application, launch the servers with the following commands:

./server --id 1 --node 127.0.0.1:8001:1 --node 127.0.0.1:8002:2 --node 127.0.0.1:8003:3
./server --id 2 --node 127.0.0.1:8001:1 --node 127.0.0.1:8002:2 --node 127.0.0.1:8003:3
./server --id 3 --node 127.0.0.1:8001:1 --node 127.0.0.1:8002:2 --node 127.0.0.1:8003:3

To interact with the system, run the client as follows:

./client --node 127.0.0.1:8001:1

The client expects an input string to be added to the distributed log. If the input string starts with an underscore (_), it should be followed by a number (e.g., _ 3). In this case, the client will attempt to read the log entry at the specified number.

Additionally, there's an example implementing a distributed key-value (KV) store.

To start the KV store servers, use:

./kv --server --id 1 --node 127.0.0.1:8001:1 --node 127.0.0.1:8002:2 --node 127.0.0.1:8003:3
./kv --server --id 2 --node 127.0.0.1:8001:1 --node 127.0.0.1:8002:2 --node 127.0.0.1:8003:3
./kv --server --id 3 --node 127.0.0.1:8001:1 --node 127.0.0.1:8002:2 --node 127.0.0.1:8003:3

To run the KV client, use:

./kv --client --node 127.0.0.1:8001:1

The KV client expects commands as input:

1. set <key> <value> - Adds or updates a value in the KV store.
2. get <key> - Retrieves a value by its key.
3. list - Displays all key/value pairs in the store.
4. del <key> - Deletes a key from the store.

1. Implementation of the Raft Consensus Algorithm Using C++20 Coroutines
2. Разработка сетевой библиотеки на C++20: интеграция асинхронности и алгоритма Raft (часть 1)
3. Разработка сетевой библиотеки на C++20: интеграция асинхронности и алгоритма Raft (часть 2)
4. High-performance network library using C++20 coroutines
5. Simplifying Raft with C++20 coroutines