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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Efficient evaluation of ad-hoc range aggregates
Organization Unit
Authors
  • Christian Ammendola
  • Michael Hanspeter Böhlen
  • Johann Gamper
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 978-3-642-40130-5
ISSN 0302-9743
Page Range 46 - 59
Event Title DaWaK
Event Type conference
Event Location Prague, Czech Republic
Event Start Date August 26 - 2013
Event End Date August 29 - 2013
Series Name Lecture Notes in Computer Science
Publisher Springer
Abstract Text θ-MDA is a flexible and efficient operator for complex ad-hoc multi-dimensional aggregation queries. It separates the specification of aggregation groups for which aggregate values are computed (base table b) and the specification of aggregation tuples from which aggregate values are computed. Aggregation tuples are subsets of the detail table r and are defined by a general θ-condition. The θ-MDA requires one scan of r, during which the aggregates are incrementally updated. In this paper, we propose a two-step evaluation strategy for θ-MDA to optimize the computation of ad-hoc range aggregates by reducing them to point aggregates. The first step scans r and computes point aggregates as a partial intermediate result x̃, which can be done efficiently. The second step combines the point aggregates to the final aggregates. This transformation significantly reduces the number of incremental updates to aggregates and reduces the runtime from (∣∣r∣∣⋅∣∣b∣∣) to (∣∣r∣∣) , provided that ∣∣b∣∣<∣∣r∣∣‾‾‾√ and |x̃| ≈ |b|, which is common for OLAP. An empirical evaluation confirms the analytical results and shows the effectiveness of our optimization: range queries are evaluated with almost the same efficiency as point queries.
Digital Object Identifier 10.1007/978-3-642-40131-2_5
Other Identification Number merlin-id:8372
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