Title :
User defined aggregates in object-relational systems
Author :
Wang, Haixun ; Zaniolo, Carlo
Author_Institution :
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
Abstract :
User-defined aggregates are essential in many advanced database applications, particularly in expressing data mining functions, but they find little support in current systems including object-relational databases. Three serious limitations of current systems are (i) the inability to introduce new aggregates (e.g., by coding them in procedural language as originally proposed in SQL3), (ii) the inability to return partial results during the computation (e.g. to support online aggregation), and (iii) the inability to use aggregates in recursive queries (e.g. to express bill of materials and optimized graph searches). In this paper, we presents a unified solution to these problems which realizes the SQL3 original proposal for user-defined aggregates (U-DAs), and adds significant improvements in terms of expressive power and ease of use: in fact our SQL-AG system also supports online aggregation, monotonic aggregation, and a high-level aggregate definition language named SADL. We focus on applications of UDAs and SADL
Keywords :
data mining; object-oriented databases; query processing; relational databases; SADL; SQL3; data mining functions; expressive power; high-level aggregate definition language; monotonic aggregation; object-relational database; online aggregation; partial results; recursive queries; user-defined aggregates; Aggregates; Bayesian methods; Chromium; Data mining; Database systems; Humidity; Proposals; Rain;
Conference_Titel :
Data Engineering, 2000. Proceedings. 16th International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7695-0506-6
DOI :
10.1109/ICDE.2000.839400