New Concepts for Parallel Object-Relational Query Processing - Michael Jaedicke
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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 f ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Michael Jaedicke |
|---|---|
| Izdevējs | Springer Berlin Heidelberg |
| Series | Lecture Notes in Computer Science |
| Izlaides gads | 2001 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783540427810 |