Key Research Highlights > Databases & Big Data Analytics > Relational Query Processing and Optimisation
Chee Yong CHAN
Kian Lee TAN
Relational Query Processing and Optimisation
To develop efficient algorithms that process and optimise complex database queries
We have met the project’s objectives through the development of efficient algorithms including: 1) a novel interleaved query execution framework that enables shared table scans; 2) a novel self-join algorithm that scans the table once; 3) sort-aware query processing schemes that optimise ordering and processing of multiple sort orders over a table; and 4) new methods for processing multiple analytic functions over a table.