Treating hierarchical data structures in the SDC Time-Shared Data Management System (TDMS)

Robert E. Bleier
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引用次数: 48

Abstract

An important consideration in the design of programming systems for the management of large files of data is the method of treating hierarchical data (that is, data among which logical relationships exist at more than two levels). Recent systems have accomplished this by simply duplicating some essential item of data at several levels. Such duplication makes the storage of even small data bases inefficient; for large masses of data, storage becomes economically unfeasible. Other systems have provided the means to specify and construct hierarchies, but none have provided language that affords control over retrieval and output levels, and control over the scope of output. Within the Time-Shared Data Management System (TDMS), currently being produced at System Development Corporation, a method has been devised for maintaining hierarchical associations within logical entries of a data base. Basically, the technique permits the automatic association of related data through a device known as a repeating group. The term “repeating group” is not new, but the TDMS treatment of the repeating group concept is. This paper describes how this technique is implemented in the language and tables of TDMS.
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SDC分时数据管理系统(TDMS)中分层数据结构的处理
在设计用于管理大型数据文件的编程系统时,一个重要的考虑因素是处理分层数据(即逻辑关系存在于两个以上级别的数据)的方法。最近的系统通过简单地在几个层次上复制一些重要的数据项来实现这一点。这种重复使得即使是小型数据库的存储效率也很低;对于大量的数据,存储在经济上是不可行的。其他系统已经提供了指定和构造层次结构的方法,但是没有一个系统提供了能够控制检索和输出级别以及控制输出范围的语言。在系统开发公司目前正在制作的分时数据管理系统(TDMS)内,已经设计了一种方法,用于在数据库的逻辑条目内维持分层关联。基本上,该技术允许通过称为重复组的设备自动关联相关数据。术语“重复基团”并不新鲜,但TDMS对重复基团概念的处理却是新鲜的。本文描述了该技术是如何用TDMS的语言和表实现的。
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