Complex data types and a data manipulation language for scientific and statistical databases
Existing database management systems (DBMSs) support only a few primitive data types: simple numerics and character strings. For scientific and statistical databases (SSDs), which require extensive data manipulation, many more data types need to be recognized. Currently, an SSD user must perform the necessary operations through application programs outside of the DBMS. Not only is this a burden to the user, but the system has no control over whether the operations performed are semantically valid. A solution to this problem is to directly support an extended set of data types. A complex data type (CDT) is a structured data type which corresponds to an abstract object commonly found in the user's view of data. We propose that a DBMS for SSD processing should recognize the following CDTs: set, vector, ordered set, matrix, time, time series, text, and generalized relation. In this thesis CDTs are defined and a language is developed specifically for SSD processing using CDTs as a basis.
- Research Organization:
- Florida Univ., Gainesville (USA)
- DOE Contract Number:
- AS05-81ER10977
- OSTI ID:
- 6730016
- Report Number(s):
- DOE/ER/10977-T5; ON: DE84015335
- Country of Publication:
- United States
- Language:
- English
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