Description: Adaptive Query Processing is a technique that allows a database to modify its query execution strategy based on runtime conditions. This adaptability is crucial in environments where data characteristics and workloads can vary significantly. Unlike traditional database systems that use static execution plans, adaptive processing enables the database to dynamically adjust its approach to optimize performance. This is achieved by re-evaluating execution plans as data is received or changes occur in the environment, such as resource availability or data distribution. Key features of this technique include the ability to learn from previous queries, real-time optimization, and continuous performance improvement. The relevance of adaptive query processing lies in its ability to handle large volumes of data and complex queries, making it a valuable tool in various database management systems, where flexibility and scalability are essential for efficient information management.
