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In a hierarchical file system (that is, one in which files and directories are organized in a manner that resembles a tree), a directory contained inside another directory is called a subdirectory. The terms parent and child are often used to describe the relationship between a subdirectory and the directory in which it is cataloged, the latter ...
The hierarchical file system was used instead of simply expanding the flat directory for performance reasons. "A flat DOS file structure with a single directory and 10 times as many files would logically require 10 times as long to search." [2] OS/2 and Windows also support a hierarchical file system, using the same path syntax as DOS.
Traditional hierarchical file-systems tend to impose a burden, for example when a sub-directory layout is contradicting a user's perception of where files would be stored. Having a tag-based interface alleviates this hierarchy problem and enables users to query for data in an intuitive fashion.
In computer science, a tree is a widely used abstract data type that represents a hierarchical tree structure with a set of connected nodes. Each node in the tree can be connected to many children (depending on the type of tree), but must be connected to exactly one parent, [ 1 ] [ 2 ] except for the root node, which has no parent (i.e., the ...
In CP/M, DOS, Windows, and OS/2, the root directory is "drive:\", for example on modern systems, the root directory is usually "C:\". The directory separator is usually a "\", but many operating systems also internally recognize a "/". Physical and virtual drives are named by a drive letter, as opposed to being combined as one. [1]
The following examples show MS-DOS/Windows-style paths, with backslashes used to match the most common syntax: A:\Temp\File.txt This path points to a file with the name File.txt, located in the directory Temp, which in turn is located in the root directory of the drive A:. C:..\File.txt
The nested set model is a technique for representing nested set collections (also known as trees or hierarchies) in relational databases.. It is based on Nested Intervals, that "are immune to hierarchy reorganization problem, and allow answering ancestor path hierarchical queries algorithmically — without accessing the stored hierarchy relation".
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