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 ...

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 ...

Secondly, the embedded database query optimization algorithm based on an improved particle swarm optimization is given. The main innovations of this paper lie in the following aspects: 1) a high ...

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 ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of an innovative hybrid algorithm that combines the advantages of classical and quantum computing to ...