Abstract
Over the past generation, data warehousing and OLAP applications have become the cornerstone of contemporary decision support environments. Typically, OLAP servers are implemented on top of either proprietary array-based storage engines (MOLAP) or as extensions to conventional relational DBMSs (ROLAP). While MOLAP systems do indeed provide impressive performance on common analytics queries, they tend to have limited scalability. Conversely, ROLAP’s table oriented model scales quite nicely, but offers mediocre performance at best relative to the MOLAP systems. In this paper, we describe a storage and indexing framework that aims to provide both MOLAP like performance and ROLAP like scalability by essentially combining some of the best features of both. Based upon a combination of R-trees and bitmap indexes, the storage engine has been integrated with a robust OLAP query engine prototype that is able to fully exploit the efficiency of the proposed storage model. Experimental results demonstrate that not only does the framework improve upon more naive approaches, but that it does indeed offer the potential to optimize both query performance and scalability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Abouzeid, A., Bajda-Pawlikowski, K., Abadi, D., Silberschatz, A., Rasin, A.: Hadoopdb: an architectural hybrid of mapreduce and dbms technologies for analytical workloads. Proc. VLDB Endow. 2, 922–933 (2009)
Berkeley db (2011), http://www.oracle.com/technetwork/database/berkeleydb/overview/index.html
Dean, J., Ghemawat, S.: Mapreduce: a flexible data processing tool. Commununications of the ACM 53, 72–77 (2010)
Dehne, F., E.T., Rau-Chaplin, A.: Rcube: Parallel multi-dimensional rolap indexing. Journal of Data Warehousing and Mining 4, 1–14 (2008)
Eavis, T., Cueva, D.: The lbf r-tree: Efficient multidimensional indexing with graceful degradation. In: 22nd International Database Engineering and Applications Symposium, IDEAS 2007 (2007)
Eavis, T., Taleb, A.: Mapgraph: efficient methods for complex olap hierarchies. In: Conference on Information and Knowledge Management, pp. 465–474 (2007)
Zimanyi, E., Malinowski, E.: Hierarchies in a conceptual mode, from conceptual modeling to logical representation. In: Data & KNowledge Engineering (2005)
Fastbit (2011), https://sdm.lbl.gov/fastbit/
Gray, J., Bosworth, A., Layman, A., Pirahesh, H.: Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-total. In: International Conference on Data Engineering (ICDE), pp. 152–159. IEEE Computer Society, Washington, DC (1996)
Gupta, H., Harinarayan, V., Rajaraman, A., Ullman, J.D.: Index selection for olap. In: Proceedings of the Thirteenth International Conference on Data Engineering, ICDE 1997, pp. 208–219. IEEE Computer Society, Washington, DC (1997)
Lakshmanan, L.V.S., Pei, J., Zhao, Y.: Qc-trees: an efficient summary structure for semantic olap. In: Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, SIGMOD 2003, pp. 64–75. ACM, New York (2003)
Microsoft analysis services (2011), http://www.microsoft.com/sqlserver/2008/en/us/analysis-services.aspx
Mondrian (2011), http://www.mondrian.pentaho.org
Morfonios, K., Ioannidis, Y.: Cure for cubes: cubing using a rolap engine. In: Proceedings of the 32nd International Conference on Very Large Data Bases, VLDB 2006, pp. 379–390. VLDB Endowment (2006)
Oracle olap (2011), http://www.oracle.com/technology/products/bi/olap/index.html
Plattner, H.: A common database approach for oltp and olap using an in-memory column database. In: Proceedings of the 35th SIGMOD International Conference on Management of Data, SIGMOD 2009, pp. 1–2 (2009)
Roussopoulos, N., Kotidis, Y., Roussopoulos, M.: Cubetree: organization of and bulk incremental updates on the data cube. In: Proceedings of the 1997 ACM SIGMOD International Conference on Management of Data, SIGMOD 1997, pp. 89–99. ACM, New York (1997)
Sismanis, Y., Deligiannakis, A., Roussopoulos, N., Kotidis, Y.: Dwarf: shrinking the PetaCube. In: Proceedings of the 2002 ACM SIGMOD Conference, pp. 464–475 (2002)
Stonebraker, M., Abadi, D., DeWitt, D.J., Madden, S., Paulson, E., Pavlo, A., Rasin, A.: Mapreduce and parallel dbmss: friends or foes? Commun. ACM 53, 64–71 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Eavis, T., Taleb, A. (2012). Towards a Scalable, Performance-Oriented OLAP Storage Engine. In: Lee, Sg., Peng, Z., Zhou, X., Moon, YS., Unland, R., Yoo, J. (eds) Database Systems for Advanced Applications. DASFAA 2012. Lecture Notes in Computer Science, vol 7239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29035-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-29035-0_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29034-3
Online ISBN: 978-3-642-29035-0
eBook Packages: Computer ScienceComputer Science (R0)