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内存数据库系统SwiftMMDB索引机制的设计与实现
引用本文:赵艳梅,郑鑫福,徐立臻.内存数据库系统SwiftMMDB索引机制的设计与实现[J].计算机应用,2011,31(9):2395-2398.
作者姓名:赵艳梅  郑鑫福  徐立臻
作者单位:1. 国家自然科学基金委员会 信息中心,北京 1000852. 东南大学 计算机科学与工程学院,南京 210096
基金项目:国家自然科学基金资助项目(M1021003)
摘    要:T树结合了平衡二叉树(AVL树)和B树的优点,可以有效地组织索引数据,从而为内存数据库提供优良的存储效率和查询性能。结合自主开发的一个内存数据库系统SwiftMMDB介绍T树索引的设计与实现,并通过节点分裂、填充等方法改进了经典T树的插入和删除操作,减少了T树中平衡旋转的次数,从而进一步提高内存数据库检索的效率和性能。

关 键 词:内存数据库  索引  T树  平衡二叉树  B    
收稿时间:2011-03-10
修稿时间:2011-04-26

Design and implementation of index in main memory database system named SwiftMMDB
ZHAO Yan-mei,ZHENG Xin-fu,XU Li-zhen.Design and implementation of index in main memory database system named SwiftMMDB[J].journal of Computer Applications,2011,31(9):2395-2398.
Authors:ZHAO Yan-mei  ZHENG Xin-fu  XU Li-zhen
Affiliation:1. Information Center, National Natural Science Foundation of China, Beijing 100085, China2. School of Computer Science and Engineering, Southeast University, Nanjing Jiangsu 210096, China
Abstract:T tree, combining the advantages of AVL tree and B tree, can organize index data efficiently, thus providing good storage efficiency and search performance for main memory database. The design and implementation of T tree index was presented in the main memory database system named SwiftMMDB which was developed by the authors' research group recently. The insert and delete operations of traditional T tree were improved through node splitting and node populating method. The rotation number for balance in T tree was reduced. As a result, the retrieve efficiency and performance of main memory database system are improved.
Keywords:main memory database                                                                                                                          index                                                                                                                          T tree                                                                                                                          AVL tree                                                                                                                          B  tree
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