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Query optimization for analytical queries is the process of selecting the most efficient way to execute complex queries that operate on large volumes of data. Analytical queries are commonly used in decision support systems, data warehouses, business intelligence applications, and reporting systems. Unlike transactional queries, which usually access a small number of records and perform frequent updates, analytical queries often involve large scans, multiple joins, aggregations, sorting, grouping, and filtering. Therefore, efficient query optimization is essential for reducing execution time, memory consumption, disk I/O, and overall system cost. The query optimizer is a major component of a Database Management System (DBMS). It examines a SQL query and generates alternative execution plans before selecting an efficient plan. The optimizer considers factors such as table size, available indexes, data distribution, join methods, _________ ________ ______ _____ __________ _____ _________ ________.
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