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A concurrent and recoverable restructuring method for R-tree

机译:R树的并行且可恢复的重组方法

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R-tree is multidimensional index structure used in spatial database systems. In R-trees, a spatial object is indexed by a minimum-bounding box that contains the object. R-tree structure modifications such as page split or deletion, and minimum-bounding-box resizing arc still presenting a challenge to concurrency and recovery. We present a new restructuring method for R-tree to enhance concurrency and to simplify recovery. In our method, we assume that fetching and updating transactions use latch-coupling protocol with S latches to traverse the R-tree from the root node to reach leaf-level nodes, and we employ a strict and relaxed index consistency approaches to handle R-tree structure modifications.
机译:R树是空间数据库系统中使用的多维索引结构。在R树中,空间对象由包含该对象的最小边界框索引。 R-tree结构修改(例如页面拆分或删除)以及最小边界框调整大小仍然对并发和恢复提出了挑战。我们提出了一种新的R-tree重组方法,以增强并发性并简化恢复。在我们的方法中,我们假设获取和更新事务使用带有S锁存器的锁存耦合协议从根节点遍历R树到达叶级节点,并且我们采用严格且宽松的索引一致性方法来处理R-树结构修改。

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