Recursive Algorithm for Database Programming: A Critical Analysis
Abstract
In the 21st century, computing has evolved to support complex societal and organisational needs through advanced architecture, cloud computing, artificial intelligence, and large-scale data analytics. Programming forms the backbone of these systems, transforming logical problem-solving methods into executable instructions. Central to programming is the concept of the algorithm, which provides systematic procedures for solving computational problems efficiently. Among algorithmic paradigms, recursive algorithms are distinguished by their self- referential approach, enabling elegant solutions for hierarchical and nested data structures. In parallel, databases serve as organised repositories that facilitate efficient storage, retrieval, and management of information, while database programming enables interaction with these data stores through queries, procedures, and advanced operations such as recursive common table expressions . This paper critically analyses recursive algorithms in database programming, examining their theoretical foundations, practical implementation in SQL Server, Hibernate, and Django ORM systems, as well as their advantages and limitations. The study highlights how recursive algorithms simplify hierarchical data manipulation, improve code clarity, and support complex query requirements, while also addressing potential memory and performance challenges. Through examples in organisational hierarchies, component assemblies, and flight connections, the paper demonstrates the practical relevance of recursive algorithms in modern database programming.
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