11. The method as recited in claim 10 wherein said determining feature vectors for a plurality of historical database queries from said group of historical database queries further comprises: extracting historical query features from an historical database query of said plurality of historical database queries; and utilizing a plurality of said historical query features to develop a query plan vector for said historical query.
11. The method as recited in claim 10 wherein said determining feature vectors for a plurality of historical database queries from said group of historical database queries further comprises: extracting historical query features from an historical database query of said plurality of historical database queries; and utilizing a plurality of said historical query features to develop a query plan vector for said historical query. 12. The method as recited in claim 11 , wherein said utilizing a plurality of said historical query features to develop a query plan vector for said historical query comprises: utilizing a plurality of said historical query features selected from the group of historical query features consisting of: a measure of bushiness, a measure of disk partition parallelism, a total input/output cardinality, an input/output cost, a measure of process parallelism, a total join cardinality, a non-input/output cost, a total number of inputs/outputs, a total number of joins, a total number of probes, a total number of sorts, a total cardinality of sorts, a total number of tables, an optimizer cost, a total estimated cardinality, a total number of operators, and a total operator cost.