The use of inaccurate or outdated database statistics by the query optimizer in a relational DBMS often results in a poor choice of query execution plans and hence unacceptably lo...
Ashraf Aboulnaga, Peter J. Haas, Sam Lightstone, G...
Query processing in traditional information management systems has moved from an exact match model to more flexible paradigms allowing cooperative retrieval by aggregating the dat...
Wolf-Tilo Balke, Wolfgang Nejdl, Wolf Siberski, Uw...
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
While traditional database systems optimize for performance on one-shot queries, emerging large-scale monitoring applications require continuous tracking of complex aggregates and...
Graham Cormode, Minos N. Garofalakis, S. Muthukris...
Complex database queries require the use of memory-intensive operators like sort and hashjoin. Those operators need memory, also referred to as SQL memory, to process their input ...