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METU Object-Oriented DBMS

  • Asuman Dogac
  • Cetin Ozkan
  • Budak Arpinar
  • Tansel Okay
  • Cem Evrendilek
Conference paper
Part of the NATO ASI Series book series (volume 130)

Abstract

METU Object-Oriented DBMS1 includes the implementation of a database kernel, an object-oriented SQL-like language and a graphical user interface. Kernel functions are divided between a SQL Interpreter and a C++ compiler. Thus the interpretation of functions are avoided increasing the efficiency of the system. The compiled by C++ functions are used by the system through the Function Manager. The system is realized on Exodus Storage Manager (ESM), thus exploiting some of the kernel functions readily provided by ESM. The additional functions provided by the MOOD kernel are the optimization and interpretation of SQL statements, dynamic linking of functions, and catalog management.

An original query optimization strategy based on the object-oriented features of the language is developed. For this purpose formulas for the selectivity of a path expression, and for the cost of forward and backward path traversals are derived, and join sizes are estimated. New strategies for ordering the joins and path expressions are also developed.

A graphical user interface, namely MoodView is implemented on the MOOD kernel. MoodView provides the database programmer with tools and functionalities for every phase of OODBMS application development. Current version of MoodView allows a database user to design, browse, and modify database schema interactively. MoodView can automatically generate graphical displays for complex and multimedia database objects which can be updated through the object browser. Furthermore, a database administration tool, a full screen text-editor, a SQL based query manager, and a graphical indexing tool for the spatial data, i.e., R Trees are also implemented.

Keywords

Query Language Boolean Expression Execution Plan Query Optimization Class Hierarchy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • Asuman Dogac
    • 1
  • Cetin Ozkan
    • 1
  • Budak Arpinar
    • 1
  • Tansel Okay
    • 1
  • Cem Evrendilek
    • 1
  1. 1.Software Research and Development Center, Scientific and Technical Research Council of TurkeyMiddle East Technical UniversityAnkaraTurkey

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