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index data structure

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索引数据结构
The tree index data structure includes a directory node having a descendent node and a leaf node without having a descendent node.
树形索引数据结构包括具有后继节点的目录节点和没有后继节点的叶节点。
The present disclosure relates to a node search using a tree index; and, more particularly, to a method and apparatus for searching nodes by traversing the nodes from a root node to leaf nodes according to a tree index data structure.
本发明涉及一种使用树形索引的节点搜索,特别涉及一种根据树形索引数据结构从根节点到叶节点遍历节点的节点搜索方法和装置。
The inverted index data structure is a central component of a typical search engine indexing algorithm.
应用 [ 编辑 ] 反向索引数据结构是典型的搜索引擎 检索 算法 重要的部分。
As well known in the art, an index is a data structure that increases an operating speed for a table in the field of database, and a tree index refers to an index data structure organized in a tree architecture.
在本领域中,众所周知的是,索引是一种数据结构,能增加数据库字段中表格的运算速度,树形索引指以树形结构组织的索引数据结构。
In a conventional tree index data structure, when there is a process causing a change to the structure of a tree index, it has been required to protect data compatibility of the tree index using a lock in order to compare the tree index while maintaining the data compatibility in another process.
在常规树形索引数据结构中,有改变树形索引的结构的过程时,要求按顺序用锁保护树形索引的数据兼容性,以在保持数据在另一个过程中的兼容性的同时对树形索引进行比较。
The node searching method then includes a process of searching descendent nodes to perform a traversing from a root node to leaf nodes according to a tree index data structure (S320).
节点搜索方法还包括搜索后继节点,以根据树形索引数据结构从根节点到叶节点进行遍历的过程(S320)。
In computer science, an inverted index (also referred to as postings file or inverted file) is an index data structure storing a mapping from content, such as words or numbers, to its locations in a database file, or in a document or a set of documents (named in contrast to a Forward Index, which maps from documents to content).
倒排索引 (英语:Inverted index ) , 也常被称为反向索引 、置入档案 或反向档案 ,是一种索引 方法,被用来存储 在全文搜索 下某个单词在一个文档或者一组文档中的存储位置 的映射 。
Instead of listing the words per document in the forward index, the inverted index data structure is developed which lists the documents per word. With the inverted index created, the query can now be resolved by jumping to the word id (via random access) in the inverted index.
为了替代正向索引的每个文档的单词列表,能列出每个查询的单词所有所在文档的列表的反向索引数据结构开发了出来。 随着反向索引的创建,如今的查询能通过立即的单词标示迅速获取结果(经过随机存储 ) 。
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