Abstract
Vertical partitioning is a design technique for reducing the number of disk accesses to execute a given set of queries by minimizing the number of irrelevant instance variables accessed. This is accomplished by grouping the frequently accessed instance variables as vertical class fragments. The complexity of object-oriented database models due to subclass hierarchy and class composition hierarchy complicates the definition and representation of vertical partitioning of the classes, which makes the problem of vertical partitioning in OODBs very challenging. In this paper, we develop a comprehensive analytical cost model for processing of queries on vertically partitioned OODB classes. A set of analytical evaluation results is presented to show the effect of vertical partitioning, and to study the trade-off between the projection ratio versus selectivity factor vis-a-vis sequential versus index access. Furthermore, an empirical experimental prototype supporting vertical class partitioning has been implemented on a commercial OODB tool kit to validate our analytical cost model.
| Original language | English |
|---|---|
| Pages (from-to) | 1095-1118 |
| Number of pages | 24 |
| Journal | IEEE Transactions on Knowledge and Data Engineering |
| Volume | 14 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1 Sept 2002 |
| Externally published | Yes |
Keywords
- Analytical cost model
- Class partitioning
- Object-oriented databases
- Query processing
- Vertical partitioning
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Computational Theory and Mathematics