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.
| Autorius: | Michael Jaedicke |
| Serija: | Lecture Notes in Computer Science |
| Leidėjas: | Springer Berlin Heidelberg |
| Išleidimo metai: | 2001 |
| Knygos puslapių skaičius: | 180 |
| ISBN-10: | 3540427813 |
| ISBN-13: | 9783540427810 |
| Formatas: | Knyga minkštu viršeliu |
| Kalba: | Anglų |
| Žanras: | Databases / Data management |
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