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This is a Rust implementation of a distributed messaging system. It uses a simple design inspired by Apache Kafka. It simply records messages to local files.
Features
- Topic-based pub/sub model
- Scalability through partitioning
- Persistent messages (log file based)
- Leader/Follower Replication
- Fault Detection and Automatic Recovery
- Delivery guaranteed by acknowledgement (ACK)
- Fully implemented leader selection mechanism
- Partition Replication
- Persistent messages
- Schema Registry for managing message schemas and ensuring compatibility
- Automatic Scaling
- Broker Clustering
- Message processing in parallel
- Authentication and Authorization Mechanisms
- Data Encryption
Usage
Dependency
- Rust 1.51.0 or later
Functionality Implemented
- Message Queue: Efficient message queue implementation using
MutexandVecDeque. - Broker: Core broker functionality including message handling, node management, and leader election.
- Consumer Groups: Support for consumer groups to allow multiple consumers to read from the same topic.
- Leader Election: Mechanism for electing a leader among brokers to manage partitions and replication.
- Storage: Persistent storage of messages using local files.
- Replication: Replication of messages across multiple brokers for fault tolerance.
- Schema Registry: Management of message schemas to ensure compatibility between producers and consumers.
- Benchmarking: Comprehensive benchmarking tests to measure performance of various components.
- Automatic Scaling: Automatically scale the number of instances based on load.
- Log Compressions: Compress and optimize logs.
Basic usage
use ;
use ;
Multi-threaded message processing
use Broker;
use Arc;
use thread;
Fault Detection and Automatic Recovery
The system includes mechanisms for fault detection and automatic recovery. Nodes are monitored using heartbeat signals, and if a fault is detected, the system will attempt to recover automatically.
use Broker;
use ;
use thread;
use Duration;
Examples
- Simple message sending and receiving
- Sending and receiving multiple messages
- Sending and receiving messages in multiple threads
- Authentication processing example
- Sending and receiving messages as an authenticated user
License
MIT
Examples
To execute a basic example, use the following command:
Bench
If the allocated memory is small, it may fail.
cargo bench
Version increment on release
- The commit message is parsed and the version of either major, minor or patch is incremented.
- The version of Cargo.toml is updated.
- The updated Cargo.toml is committed and a new tag is created.
- The changes and tag are pushed to the remote repository.
The version is automatically incremented based on the commit message. Here, we treat feat as minor, fix as patch, and BREAKING CHANGE as major.