Abstract
The results of data cube will occupy huge amount of disk space when the base table is of a large number of attributes. A new type of data cube, compact data cube like condensed cube and quotient cube, was proposed to solve the problem. It compresses data cube dramatically. However, its query cost is so high that it cannot be used in most applications. This paper introduces the semi-closed cube to reduce the size of data cube and achieve almost the same query response time as the data cube does. Semi-closed cube is a generalization of condensed cube and quotient cube and is constructed from a quotient cube. When the query cost of quotient cube is higher than a given threshold, semi-closed cube selects some views and picks a fellow for each of them. All the tuples of those views are materialized except those closed by their fellows. To find a tuple of those views, users only need to scan the view and its fellow. Thus, their query performance is improved. Experiments were conducted using a real-world data set. The results show that semi-closed cube is an effective approach of data cube.
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Gray J, Bosworth A, Layman A, Pirahesh H. Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals. In Proc. 12th Int. Conf. Data Engineering, New Orleans, Louisiana, Feb. 26–Mar. 1, 1996, pp.152–159.
Harinarayan V, Rajaraman A, Ullman J D. Implementing data cubes efficiently. In Proc. ACM SIGMOD Int. Conf. Management of Data, Montreal, Canada, June 4–6, 1996, pp.205–216.
Shukla A, Deshpande P M, Naughton J F. Materialized view selection for multidimensional datasets. In Proc. 24th Int. Conf. Very Large Data Base, New York City, NY, August 24–27, 1998, pp.488–499.
Wei Wang, Hongjun Lu, Jianlin Feng, Jeffrey Xu Yu. Condensed cube: An effective approach to reducing data cube size. In Proc. 18th Int. Conf. Data Engineering, San Jose, CA, February 26–March 1, 2002, pp.155–165.
Lakshmanan L V S, Pei Jian, Han Jiawei. Quotient cube: How to summarize the semantics of a data cube. In Proc. 23rd Int. Conf. Very Large Data Bases, Hong Kong, China, August 20–23, 2002, pp.778–789.
Vitter J S, Wang M. Data cube approximation and histogram via wavelets. In Proc. 7th Int. Conf. Information and Knowledge Management, Bethesda, Maryland, November 3–7, 1998, pp.96–104.
Kotidis Y, Roussopoulos N. An alternative storage organization for ROLAP aggregate views based on cubetrees. In Proc. ACM SIGMOD Int. Conf. Management of Data, Seattle, Washington, June 2–4, 1998, pp.249–258.
Sismanis Y, Deligiannakis A, Roussopoulos N, Kotidis Y. Dwarf: Shrinking the PetaCube. In Proc. ACM SIGMOD Int. Conf. Management of Data, Madison, Wisconsin, June 3–6, 2002, pp.464–475.
Lakshmanan L V S, Pei Jian, Zhao Yan. QC-Trees: An efficient summary structure for semantic OLAP. In Proc. ACM SIGMOD Int. Conf. Management of Data, San Diego, California, June 9–12, 2003, pp.64–75.
Li Sheng-En, Wang Shan. Research on closed data cube technology. Journal of Software, 2004, 15(8): 1165–1171.
Beyer K, Ramakrishnan R. Bottom-up computation of sparse and Iceberg CUBEs. In Proc. ACM SIGMOD Int. Conf. Management of Data, Philadelphia, Pennsylvania, June 1–3, 1999, pp.359–370.
Hahn C, Warren S, London J. Edited synoptic cloud reports from ships and land stations over the globe. http://cdiac.esd.ornl.gov/cdiac/ndps/ndp026b.html
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Supported by the National Natural Science Foundation of China under Grant No.604963205, the National High Technology Development 863 Program of China under Grant No.2003AA4Z3030, and the National Basic Research 973 Program of China under Grant No.2001CCA03003.
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Li, SE., Wang, S. Semi-Closed Cube: An Effective Approach to Trading Off Data Cube Size and Query Response Time. J Comput Sci Technol 20, 367–372 (2005). https://doi.org/10.1007/s11390-005-0367-8
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DOI: https://doi.org/10.1007/s11390-005-0367-8