METHOD FOR ESTIMATING THE COST OF QUERY PROCESSING

Provided is a method for modeling the cost of XML as well as relational operators. As with traditional relational cost estimation, a set of system catalog statistics that summarizes the XML data is exploited; however, the novel use of a set of simple path statistics is also proposed. A new statistical learning technique called transform regression is utilized instead of detailed analytical models to predict the overall cost of an operator. Additionally, a query optimizer in a database is enabled to be self-tuning, automatically adapting to changes over time in the query workload and in the system environment.