一种新的基于延迟分割和聚类的索引结构R* q树

Pan Jin, Q. Song
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引用次数: 8

摘要

原R*Q-tree是特殊数据库中最常用的查询索引,但由于其构建成本远高于其他查询方法,因此不适合频繁插入和删除的情况。因此,提出了一种新的R*Q-tree拆分技术,以改进原有R*Q-tree的不足。当新R* q树有对象插入时,节点可能溢出。在此过程中,它不是立即分割节点,而是尝试在相邻的相邻节点中插入节点,直到它们被填满。然后利用聚类技术对节点进行拆分,对相邻节点和拆分节点之间的节点进行数据项重组。新颖的R* q树在保证查询性能的前提下,大大降低了结构成本,显著提高了索引结构的空间利用率。最后,分析和实验表明,该算法的效率得到了提高。而且在新的R*Q-tree和启动子区域之间,不存在重复元件,使得新的R*Q-tree结构简化。懒惰的分裂;聚类;R * Q-tree
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A novel index structure R*Q-tree based on lazy splitting and clustering
The original R*Q-tree is the most popular query index of special database, but it is not suitable for the situation of frequent insertion and deletion, because its' construction cost is much more than the other query methods. Therefore, the novel R*Q-tree splitting technology has been proposed as for improving the shortcomings of the original R*Q-tree. When the novel R*Q-tree has objects inserted into it the nodes may overflow. During this, rather than split the node immediately, it attempts to insert nodes in the adjacent neighboring nodes until they were full. Then it uses clustering technology to split the nodes, data items were reorganized the nodes between in the neighboring nodes and spitted nodes. The novel R*Q-tree ensuring the premise of query performance greatly reduced the cost of structure and significantly improve the space utilization of the index structure. Finally, the analysis and experiments show that the efficiency of the novel R*Q-tree is improved. But also among the novel R*Q-tree and the promoter region, there is no duplication elements, which made structure of the novel R*Q-tree simplified. Lazy splitting; Clustering; R*Q-tree
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