Multiple query optimization with depth first branch and bound and dynamic query ordering

1993-09-01
Coşar, Ahmet
Lım, Ee Peng
Srıvastava, Jaıdeep
In certain database applications such as deductive databases, batch query processing, and recursive query processing etc., a single query can be transformed into a set of closely related database queries. Great benefits can be obtained by executing a group of related queries all together in a single unified multi-plan instead of executing each query separately. In order to achieve this, Multiple Query Optimization (MQO) identifies common task(s) (e.g. common subexpressions, joins, etc.) among a set of query plans and creates a single unified plan (multiplan) which can be executed to obtain the required outputs for all queries at once. In this paper, a new heuristic function (fc), dynamic query ordering heuristics, and Depth-First Branch-and-Bound (DFBB) are defined and experimentally evaluated, and compared with existing methods which use A* and static query ordering. Our experiments show that all three of fc, DFBB, and dynamic query ordering help to improve the performance of our MQO algorithm.
Multiple query optimization with depth first branch and bound and dynamic query ordering, CIKM-1993, Amerika Birleşik Devletleri, 1 - 02 Eylül 1993

Suggestions

Integer Linear Programming Solution for the Multiple Query Optimization Problem
Dokeroglu, Tansel; Bayir, Murat Ali; Coşar, Ahmet (2014-10-28)
Multiple Query Optimization (MQO) is a technique for processing a batch of queries in such a way that shared tasks in these queries are executed only once, resulting in significant savings in the total evaluation. The first phase of MQO requires producing alternative query execution plans so that the shared tasks between queries are identified and maximized. The second phase of MQO is an optimization problem where the goal is selecting exactly one of the alternative plans for each query to minimize the tota...
Distributed database design with integer linear programming and evolutionary hybrid algorithms
Tosun, Umut; Coşar, Ahmet; Department of Computer Engineering (2013)
The communication costs of remote access and retrieval of table fragments required in the execution of distributed database queries, are the major factors determining the quality of a distributed database design. Data allocation algorithms try to minimize these costs by dividing database tables into horizontal fragments, then assigning each fragment at or near the database sites they are needed more frequently. In this thesis, we propose efficient optimization algorithms for centralized and distributed data...
Data mining for rule discovery in relatonal databases
Toprak, Serkan; Alpaslan, Ferda Nur; Department of Computer Engineering (2004)
Data is mostly stored in relational databases today. However, most data mining algorithms are not capable of working on data stored in relational databases directly. Instead they require a preprocessing step for transforming relational data into algorithm specified form. Moreover, several data mining algorithms provide solutions for single relations only. Therefore, valuable hidden knowledge involving multiple relations remains undiscovered. In this thesis, an implementation is developed for discovering mul...
Uncertainty in a nested relational database model
Yazıcı, Adnan; Buckles, BP; Petry, FE (1999-07-01)
Some database models have already been developed to deal with complex values but they have constrains that data stored is precise and queries are crisp. However, as many researchers have pointed out, there is a need to present, manipulate, and query complex and uncertain data of various non-traditional database applications such as oceanography, multimedia, meteorology, office automation systems, engineering designs, expert database systems and geographic information systems. In this paper, we present a log...
Normalization and lossless join decomposition of similarity-based fuzzy relational databases
Bahar, O; Yazıcı, Adnan (Wiley, 2004-10-01)
Fuzzy relational database models generalize the classical relational database model by allowing uncertain and imprecise information to be represented and manipulated. In this article, we introduce fuzzy extensions of the normal forms for the similarity-based fuzzy relational database model. Within this framework of fuzzy data representation, similarity, conformance of tuples, the concept of fuzzy functional dependencies, and partial fuzzy functional dependencies are utilized to define the fuzzy key notion, ...
Citation Formats
A. Coşar, E. P. Lım, and J. Srıvastava, “Multiple query optimization with depth first branch and bound and dynamic query ordering,” presented at the Multiple query optimization with depth first branch and bound and dynamic query ordering, CIKM-1993, Amerika Birleşik Devletleri, 1 - 02 Eylül 1993, Washington, DC, USA, 1993, Accessed: 00, 2021. [Online]. Available: http://dl.acm.org/citation.cfm?id=170181.