International Business Machines Corporation

Fei Yen Chiang

Daniele Costante Zilio

Calisto Paul Zuzarte

Kevin Scott Beyer

Andrey Balmin

Ashraf Aboulnaga

Iman Elghandour

Sam Sampson Lightstone

Leslie Anne Cranston

A method, computer-implemented system, and computer program product for creating indexes over XML data managed by a database system are provided. The method, computer-implemented system, and computer program product provide for receiving a workload for the XML data, the workload including one or more database statements, utilizing an optimizer of the database system to enumerate a set of one or more path expressions by creating a virtual universal index based on the workload received and matching a path expression to the virtual universal index, and recommending one or more path expressions from the set of one or more candidate path expressions to create the indexes over the XML data.

Index selection for XML database systems

A method, system, and computer program product for selecting indexes to be created over XML data are provided. The method, system, and computer program product provide for receiving a workload for the XML data, the workload including one or more database statements, and utilizing an optimizer to recommend a set of one or more path expressions based on the workload received, wherein the set of one or more path expressions is to be used to create one or more indexes over the XML data.

A method, apparatus, and computer instructions for selecting and recommending of clustering indexes are provided. Baseline run time cost estimates are calculated based on database designs. Workload benefit of a candidate clustering design is calculated and compared to the baseline costs. If the workload benefit outweighs the baseline costs, clustering dimension solutions originated from the record identifier (RID) based index are identified. A clustering design is selected based on the identified clustering dimension solutions and the total number of recommended clustering dimensions for a given table. Based on the number of dimensions observed, either a multidimensional clustering solution or a RID based clustering index is recommended.

Method and apparatus for automatic recommendation and selection of clustering indexes

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Fei Yen Chiang