Abstract
Drill-across SOLAP queries (spatial OLAP queries) allow for strategic decision-making through the use of numeric measures from distinct fact tables that share dimensions and by the evaluation of spatial predicates. Despite the importance of these queries in geographic data warehouses (GDWs), there is a lack of research aimed at their study. In this paper, we investigate three challenging aspects related to the efficient processing of drill-across SOLAP queries over GDWs: (i) the design of a GDW schema to enable the performance evaluation of drill-across SOLAP query processing; (ii) the definition of classes of drill-across SOLAP queries to be issued over the proposed GDW schema; and (iii) the analysis of different approaches to process drill-across SOLAP queries, as follows: star-join computation, materialized views and a new proposed approach based on the SB-index, which is named DrillAcrossSB. We conclude that the DrillAcrossSB approach highly speedups the processing of drill-across SOLAP queries from 39% up to 98%.
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.
References
Bellatreche, L., Woameno, K.: Dimension table driven approach to referential partition relational data warehouses. In: DaWaK, pp. 9–16 (2009)
Golfarelli, M., Maniezzo, V., Rizzi, S.: Materialization of fragmented views in multidimensional databases. DKE 49(3), 325–351 (2004)
Gómez, L.I., Vaisman, A.A., Zimányi, E.: Physical design and implementation of spatial data warehouses supporting continuous fields. In: Bach Pedersen, T., Mohania, M.K., Tjoa, A.M. (eds.) DAWAK 2010. LNCS, vol. 6263, pp. 25–39. Springer, Heidelberg (2010)
Gorawski, M., Gorawski, M.: Balanced spatio-temporal data warehouse with R-MVB, STCAT and BITMAP indexes. In: PARELEC, pp. 43–48 (2006)
Malinowski, E., Zimányi, E.: Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications (Data-Centric Systems and Applications). Springer, Heidelberg (2008)
Mateus, R.C., Siqueira, T.L.L., Times, V.C., Ciferri, R.R., Ciferri, C.D.A.: How does the spatial data redundancy affect query performance in geographic data warehouses? JIDM 1(3), 519–534 (2010)
Mohan, P., Wilson, R., Shekhar, S., George, B., Levine, N., Celik, M.: Should SDBMS support a join index?: A case study from CrimeStat. In: ACM GIS, pp. 1–10 (2008)
O’Neil, P., Graefe, G.: Multi-table joins through bitmapped join indices. SIGMOD Record 24(3), 8–11 (1995)
Papadias, D., Kalnis, P., Zhang, J., Tao, Y.: Efficient OLAP operations in spatial data warehouses. In: Jensen, C.S., Schneider, M., Seeger, B., Tsotras, V.J. (eds.) SSTD 2001. LNCS, vol. 2121, pp. 443–459. Springer, Heidelberg (2001)
Poess, M., Floyd, C.: New TPC benchmarks for decision support and web commerce. SIGMOD Record 29(4), 64–71 (2000)
Rao, F., Zhang, L., Yu, X., Li, Y., Chen, Y.: Spatial hierarchy and OLAP-favored search in spatial data warehouse. In: DOLAP, pp. 48–55 (2003)
Siqueira, T.L.L., Ciferri, C.D.A., Times, V.C., Ciferri, R.R.: The SB-index and the HSB-index: efficient indices for spatial data warehouses. To Appear in Geoinformatica (2011) doi:10.1007/s10707-011-0128-5
Siqueira, T.L.L., Ciferri, C.D.A., Times, V.C., Oliveira, A.G., Ciferri, R.R.: The impact of spatial data redundancy on SOLAP query performance. JBCS 15(2), 19–34 (2009)
Siqueira, T.L.L., Ciferri, R.R., Times, V.C., Ciferri, C.D.A.: Benchmarking spatial data warehouses. In: Bach Pedersen, T., Mohania, M.K., Tjoa, A.M. (eds.) DAWAK 2010. LNCS, vol. 6263, pp. 40–51. Springer, Heidelberg (2010)
Stefanovic, N., Han, J., Koperski, K.: Object-based selective materialization for efficient implementation of spatial data cubes. IEEE TKDE 12(6), 938–958 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Brito, J.J., Siqueira, T.L.L., Times, V.C., Ciferri, R.R., de Ciferri, C.D. (2011). Efficient Processing of Drill-across Queries over Geographic Data Warehouses. In: Cuzzocrea, A., Dayal, U. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2011. Lecture Notes in Computer Science, vol 6862. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23544-3_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-23544-3_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23543-6
Online ISBN: 978-3-642-23544-3
eBook Packages: Computer ScienceComputer Science (R0)