Description: Adaptive query optimization is an advanced technique in the field of database management that dynamically adjusts the execution plan of an SQL query based on statistics collected during its runtime. This approach allows the database management system (DBMS) to reevaluate and modify the execution plan in real-time, which can lead to significantly improved performance. Unlike static optimization techniques, which rely on previous estimates and fixed statistics, adaptive optimization responds to the current conditions of the system and workload, making it a powerful tool for handling complex queries and variable data volumes. Key features of this technique include the ability to learn from previous executions, adaptation to changes in data distribution, and continuous performance improvement. In an environment where data is dynamic and queries can vary in complexity, adaptive query optimization becomes essential to ensure that applications relying on databases operate efficiently and effectively.
