The selectivity factor of relational operations is a critical parameter for determining the cost function of query processing. Good estimates of these parameters allow the optimizers to choose the least expensive path in the query execution. A method for estimating the join and projection selectivity factors based on the orthogonal polynomial series is presented. Experimental results on real data are also reported which show the good performance of the approach
A relational ranking query uses a scoring function to limit the re-sults of a conventional query to ...
An advantage of relational database languages is that they allow "declarative" query specification: ...
Since relational database management systems typically support only diadic join operators as primiti...
The selectivity factor of relational operations is a critical parameter for determining the cost fun...
Abstract: - In this paper, a method for estimating the size of relational query results is proposed....
Selectivity estimation refers to the ability of the SQL query optimizer to estimate the size of the ...
We compare the performance of sampling-based procedures for estimating the selectivity of a join. Wh...
ISBN 978-3-662-62385-5International audienceRelational query optimisers rely on cost models to choos...
This dissertation focuses on supporting ranking in relational database systems through a rank-aware ...
Query optimization is an integral part of relational database management systems. One important task...
AbstractWe compare the performance of sampling-based procedures for estimating the selectivity of a ...
AbstractThis article applies range query theory to develop join algorithms that run inO(IlogdI+U) ti...
Abstract—This paper will introduce the reader to the basic concepts of query processing and query op...
The aim of query optimizers in relational database systems is to select the most ecient way among al...
The join operation, which combines tuples from multiple relations, is the most fundamental and, typi...
A relational ranking query uses a scoring function to limit the re-sults of a conventional query to ...
An advantage of relational database languages is that they allow "declarative" query specification: ...
Since relational database management systems typically support only diadic join operators as primiti...
The selectivity factor of relational operations is a critical parameter for determining the cost fun...
Abstract: - In this paper, a method for estimating the size of relational query results is proposed....
Selectivity estimation refers to the ability of the SQL query optimizer to estimate the size of the ...
We compare the performance of sampling-based procedures for estimating the selectivity of a join. Wh...
ISBN 978-3-662-62385-5International audienceRelational query optimisers rely on cost models to choos...
This dissertation focuses on supporting ranking in relational database systems through a rank-aware ...
Query optimization is an integral part of relational database management systems. One important task...
AbstractWe compare the performance of sampling-based procedures for estimating the selectivity of a ...
AbstractThis article applies range query theory to develop join algorithms that run inO(IlogdI+U) ti...
Abstract—This paper will introduce the reader to the basic concepts of query processing and query op...
The aim of query optimizers in relational database systems is to select the most ecient way among al...
The join operation, which combines tuples from multiple relations, is the most fundamental and, typi...
A relational ranking query uses a scoring function to limit the re-sults of a conventional query to ...
An advantage of relational database languages is that they allow "declarative" query specification: ...
Since relational database management systems typically support only diadic join operators as primiti...