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About New Concepts for Parallel Object-Relational Query Processing
During the last few years, parallel object-relational database management systems have emerged as the leading data management technology on the market. These systems are extensible by user-defined data types and user-defined functionality for the data. This work focuses on the efficient parallel execution of user-defined functionality. The main contributions describe techniques to support data parallelism for user-defined scalar and aggregate functions and intra-function parallelism for the execution of a scalar function on a large object, and a new technology to provide extensibility with regard to new set-oriented database operations that can efficiently implement user-defined functionality in parallel object-relational database management systems.
Detailed Information
| Author: | Michael Jaedicke (auth.) |
|---|---|
| Publication Year: | 2001 |
| ISBN: | 9783540427810 |
| Pages: | 165 |
| Language: | English |
| File Size: | 0.885 |
| Format: | |
| Price: | FREE |
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