*Result*: Optimized Database Sharding Techniques for High-Performance MySQL Applications.

*With the ever-growing data-intensive applications, the classical monolithic MySQL databases are usually unable to satisfy the requirements of the high-throughput, lowlatency, and real-time applications. The technique of horizontally dividing data in more than one database is called database sharding, though it has proven to be a strong tool to overcome these problems. The paper provides an extensive overview of optimized forms of database sharding that are specific to MySQL applications. It discusses the basic Sharding concepts, comparisons of various models, and advanced optimization techniques, i.e., consistent hashing, query-aware routing, dynamically re-sharding, and caching. The paper also introduces patterns of deployment of architecture that can be adapted to the cloud-native environment and provides comprehensive results of performance benchmarking that can be used to measure the benefits and drawbacks of diverse approaches. The paper will offer a roadmap to help the architects and engineers create scalable, reliable, and high-performance MySQL infrastructures by combining the existing best practices with scholarly work. The results highlight that sharding used and tuned properly can be of major benefit to a database in terms of performance, operational efficiency, and scalability of the system. [ABSTRACT FROM AUTHOR]

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