外部索引数据结构

Iliya Tronkov
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引用次数: 0

摘要

w树是B+树的自然推广。B+-tree中的操作是同步执行的(一个接一个),而W-tree中的操作是异步执行的(分组)。当操作进入B+树时,它“下沉”到相应的叶子。当一个操作进入W-tree时,它在第一个没有过载的节点“停止”。w树中的操作累加在其内部节点上。当某个内部节点的操作过载时,选择与其相邻的操作数量最多的分支,并将其“倒”到树中。W-tree数据结构解决了用随机键索引记录时速度下降的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WaterfallTree — External indexing data structure
W-tree is a natural generalization of B+-tree. Operations in B+-tree are executed synchronously (one by one), while in W-tree, operations are executed asynchronously (in groups). When an operation enters B+-tree it ”sinks” up to its respective leaf. When an operation enters W-tree, it ”stops” in the first node which is not overloaded. Operations in W-tree accumulate in its internal nodes. When a certain internal node overloads with operations, the branch with the greatest number of operations adjacent to it is selected and they are ”poured down” the tree. The W-tree data structure solves the problem of speed degradation when indexing records with random keys.
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