| ISBN: 1-55860-566-5
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| |
| description |
Currently the key problems of query optimization are extensibility
imposedby object-relational technology, as well as query complexity
caused by forthcoming applications, such as OLAP. We propose a
generic approach to parallelization, called TOPAZ. Different forms
of parallelism are exploited to obtain maximum speedup combined with
lowest resource consumption. The necessary abstractions w.r.t.
operator characteristics and system architecture are provided by
rules that are used by a cost-based, top-down search engine. A
multi-phase pruning based on a global analysis of the plan
efficiently guides the search process, thus considerably reducing
complexity and achieving optimization performance. Since TOPAZ
solely relies on the widespread concepts of iterators and datarivers
common to (parallel) execution models, it fits as an enabling
technology into most state-of-the-art (object-) relational systems.
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| publisher |
Morgan Kaufmann
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| type |
Text
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| Article in Proceedings
|
| source |
In: VLDB'98, Proceedings of 24rd International Conference on
Very Large Data Bases, New York City, New York, USA, August 24-27,
1998, pp. 251-262
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| contributor |
Anwendersoftware (IPVR)
|
| Bernhard Mitschang
| subject |
Database Management Systems (CR H.2.4)
| | relation |
International Conference on Very Large Data Bases
| |