Query optimization is the process of finding the most efficient way to execute a query on a database. It involves analyzing various factors, such as the query structure, the data distribution, the ...

Join execution order, suitable copy selection from a query tables, join execution location selection and semijoin strategy are effective agents of a query's execution plan's cost. The selection of an ...

Using a query optimizer for database development can be challenging due to the uncertainty and variability of data characteristics, such as size, distribution, cardinality, and correlation.

Query optimization is an important part of database management system. In this paper, through the research on query optimization technology, based on a number of optimization algorithms commonly used ...

This project involves implementing and evaluating various algorithms for query processing on database systems. The tasks include performing joins using hashing and Yannakakis algorithms, evaluating ...

Contains implementations of various algorithms for database query optimization. The algorithms cover multiple problem variants (e.g., traditional and multi-objective query optimization) and offer ...

Although it's easy to see the potential of query optimization powered by AI, its use in the real world has a number of challenges. A major one is the requirement for large training data. Machine ...

The parametric query optimization problem with linear cost functions has the following property: if the same query plan is optimal at all vertices of a convex polytope in the parameter space then that ...

The Multi-Query Optimization (MQO) problem is a class of data-intensive problems that are NP-hard, and it has applications in many fields such as database query optimization, machine learning ...