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Reports (Research Report) Year : 1993

An Adaptative algorithm for incremental evaluation of production rules in databases

Mireille Regnier
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Eric Simon
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Abstract

Several incremental algorithms have been proposed ro evaluate database production rule programs. They all derive from existing incremental algorithms, lke RETE and TREAT, developed for rule-based systems in the framework of artificial intelligence. In this paper, we address a specific but crucial problem that arises with these incremental algorithms : how much data should be profitably materialized and maintained in order to speed-up program evaluation ?. We show that the answer exposes to a well known space-time tradeoff. Our major contribution is to propose and adaptive algorithm that takes as input a program of rules and returns for each rule, the set of most profitable relational expressions that should be maintained in order to obtain a good space-time compromise. A notable feature of our algorithm is that it works for both set-oriented and instance-oriented rules. We compare our algorithms with existing incremental algorithms for database production rule programs.

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Other [cs.OH]
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Dates and versions

inria-00074803 , version 1 (24-05-2006)

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  • HAL Id : inria-00074803 , version 1

Cite

Françoise Fabret, Mireille Regnier, Eric Simon. An Adaptative algorithm for incremental evaluation of production rules in databases. [Research Report] RR-1870, INRIA. 1993. ⟨inria-00074803⟩
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