학술논문

An xml index advisor for DB2
Document Type
Conference
Source
Proceedings of the 2008 ACM SIGMOD international conference on Management of data. :1267-1270
Subject
automatic physical database design
index advisor
xml databases
Language
English
Abstract
XML database systems are expected to handle increasingly complex queries over increasingly large and highly structured XML databases. An important problem that needs to be solved for these systems is how to choose the best set of indexes for a given workload. We have developed an XML Index Advisor that solves this XML index recommendation problem and is tightly coupled with the query optimizer of the database system. We have implemented our XML Index Advisor for DB2. In this demonstration we showcase the new query optimizer modes that we added to DB2, the index recommendation process, and the effectiveness of the recommended indexes.

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