With increasing main memory sizes, data processing has significantly shifted from
secondary storage to main memory. However, choosing a good join order is still very …

In this demo, we present PostCENN, an enhanced PostgreSQL database system with an
end-to-end integration of machine learning (ML) models for cardinality estimation. In …

With the increasing complexity of graph queries, query cost estimation has become a key
challenge in graph databases. Accurate estimation results are critical for database …

With the increasing complexity and diversity of query tasks, cardinality estimation has
become one of the most challenging problems in query optimization. In this study, we …

Array database systems offer a declarative language for arraybased access on
multidimensional data. Although ArrayQL formulates the operators for a standardised query …

A variety of query optimization papers have shown the disastrous effect of poor cardinality
estimates on the overall run time for arbitrary select-project-join (SPJ) queries. Especially …