kingshard is a high-performance proxy developed in Go designed to optimize MySQL database interactions. It functions as an intermediary, allowing for the splitting of read and write operations and providing advanced sharding capabilities. Kingshard addresses the need for scalable and efficient MySQL solutions, achieving approximately 80% the performance of direct MySQL connections.
Kingshard distinguishes itself through its focus on high performance and comprehensive sharding features. Unlike simpler proxies, it supports multiple sharding methods (hash, range, date) and commonly used SQL functions within the proxy layer. Its dynamic configuration and support for MySQL HA further enhance its adaptability and reliability.
- Sharding: Supports hash, range, and date-based sharding across multiple nodes, routing queries to specific backend servers.
- Performance: Achieves approximately 80% of the performance of connecting directly to MySQL.
- HA Support: Provides high availability for backend MySQL databases.
- SQL Features: Supports prepared statements, multi-slave setups, and common SQL functions (max, min, count, sum, join, limit, order by, group by).
- Configuration: Dynamically changes configuration values without restarting the proxy.
- Security: Offers client IP ACL control to manage access.
- SQL Blacklist: Allows defining SQL statements to be blocked.
Kingshard is an actively maintained project with a history dating back to 2015. Recent commits indicate ongoing development and bug fixes. The project has a substantial number of stars and forks, suggesting a degree of community interest and usage. Comprehensive documentation is available, supporting ease of integration and operation.
Kingshard benefits database administrators and developers seeking to enhance MySQL performance and scalability. It's particularly valuable for applications requiring high read/write throughput and distributed database architectures. Kingshard offers advantages over traditional MySQL setups by simplifying sharding and optimizing query routing, reducing latency and improving overall efficiency.