| ISBN: 0-89791-995-5
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| |
| description |
Nowadays parallel object-relational DBMS are envisioned as the next
great wave, but there is still a lack of efficient implementation
concepts for some parts of the proposed functionality. Thus one of
the current goals for parallel object-relational DBMS is to move
towards higher performance. In this paper we develop a framework
that allows to process user-defined functions with data parallelism.
We will describe the class of partitionable functions that can be
processed parallelly. We will also propose an extension which allows
to speed up the processing of another large class of functions by
means of parallel sorting. Functions that can be processed by means
of our techniques are often used in decision support queries on
large data volumes, for example. Hence a parallel execution is
indispensable.
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| publisher |
ACM Press
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| type |
Text
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| Article in Proceedings
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| source |
In: Proceedings ACM SIGMOD International Conference on Management of
Data, Seattle, Washington, USA, June 2-4, 1998, pp. 379-389
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| contributor |
Anwendersoftware (IPVR)
|
| Bernhard Mitschang
| subject |
Database Management Systems (CR H.2.4)
| | relation |
ACM SIGMOD International Conference on Management of
Data
| |