Over the last decade, the R-tree has emerged as one of the most robust multidimensional access methods. However, before the R-tree can be integrated as an access method to a commercial strength database management system, efficient techniques to provide transactional access to data via R-trees need to be developed. Concurrent access to data through a multidimensional data structure introduces the problem of protecting ranges specified in the retrieval from phantom insertions and deletions (the phantom problem). Existing approaches to phantom protection in B-trees (namely, key-range locking) cannot be applied to multidimensional data structures since they rely on a total order over the key space on which the B-tree is designed. This paper presents a dynamic granular locking approach to phantom protection in R-trees. To the best of our knowledge, this paper provides the first solution to the phantom problem in multidimensional access methods based on granular locking.<\/p>\n","protected":false},"excerpt":{"rendered":"
Over the last decade, the R-tree has emerged as one of the most robust multidimensional access methods. However, before the R-tree can be integrated as an access method to a commercial strength database management system, efficient techniques to provide transactional access to data via R-trees need to be developed. 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