ACM SIGMOD Anthology ACM SIGMOD dblp.uni-trier.de

An Array-Based Algorithm for Simultaneous Multidimensional Aggregates.

Yihong Zhao, Prasad Deshpande, Jeffrey F. Naughton: An Array-Based Algorithm for Simultaneous Multidimensional Aggregates. SIGMOD Conference 1997: 159-170
@inproceedings{DBLP:conf/sigmod/ZhaoDN97,
  author    = {Yihong Zhao and
               Prasad Deshpande and
               Jeffrey F. Naughton},
  editor    = {Joan Peckham},
  title     = {An Array-Based Algorithm for Simultaneous Multidimensional Aggregates},
  booktitle = {SIGMOD 1997, Proceedings ACM SIGMOD International Conference
               on Management of Data, May 13-15, 1997, Tucson, Arizona, USA},
  publisher = {ACM Press},
  year      = {1997},
  pages     = {159-170},
  ee        = {http://doi.acm.org/10.1145/253260.253288, db/conf/sigmod/ZhaoDN97.html},
  crossref  = {DBLP:conf/sigmod/97},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Computing multiple related group-bys and aggregates is one of the core operations of On-Line Analytical Processing (OLAP) applications. Recently, Gray et al. [GBLP95] proposed the "Cube" operator, which computes group-by aggregations over all possible subsets of the specified dimensions. The rapid acceptance of the importance of this operator has led to a variant of the Cube being proposed for the SQL standard. Several efficient algorithms for Relational OLAP (ROLAP) have been developed to compute the Cube. However, to our knowledge there is nothing in the literature on how to compute the Cube for Multidimensional OLAP (MOLAP) systems, which store their data in sparse arrays rather than in tables. In this paper, we present a MOLAP algorithm to compute the Cube, and compare it to a leading ROLAP algorithm. The comparison between the two is interesting, since although they are computing the same function, one is value-based (the ROLAP algorithm) whereas the other is position-based (the MOLAP algorithm.) Our tests show that, given appropriate compression techniques, the MOLAP algorithm is significantly faster than the ROLAP algorithm. In fact, the difference is so pronounced that this MOLAP algorithm may be useful for ROLAP systems as well as MOLAP systems, since in many cases, instead of cubing a table directly, it is faster to first convert the table to an array, cube the array, then convert the result back to a table.

Copyright © 1997 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Joan Peckham (Ed.): SIGMOD 1997, Proceedings ACM SIGMOD International Conference on Management of Data, May 13-15, 1997, Tucson, Arizona, USA. ACM Press 1997 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML, SIGMOD Record 26(2), June 1997
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References

[AADN96]
Sameet Agarwal, Rakesh Agrawal, Prasad Deshpande, Ashish Gupta, Jeffrey F. Naughton, Raghu Ramakrishnan, Sunita Sarawagi: On the Computation of Multidimensional Aggregates. VLDB 1996: 506-521 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[AS]
...
[CCS93]
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[DKOS84]
David J. DeWitt, Randy H. Katz, Frank Olken, Leonard D. Shapiro, Michael Stonebraker, David A. Wood: Implementation Techniques for Main Memory Database Systems. SIGMOD Conference 1984: 1-8 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[GBLP95]
Jim Gray, Adam Bosworth, Andrew Layman, Hamid Pirahesh: Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total. ICDE 1996: 152-159 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[GC96]
George Colliat: OLAP, Relational, and Multidimensional Database Systems. SIGMOD Record 25(3): 64-69(1996) CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[IA]
...
[MC]
...
[MS]
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[OC]
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[PSW]
...
[RJ]
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[SM94]
Sunita Sarawagi, Michael Stonebraker: Efficient Organization of Large Multidimensional Arrays. ICDE 1994: 328-336 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[Wel84]
Terry A. Welch: A Technique for High-Performance Data Compression. IEEE Computer 17(6): 8-19(1984) CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[ZTN]
...

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