Abstract
Cache groups are a powerful concept for database caching, which is used to relieve the backend database load and to keep referenced data close to the application programs at the “edge of the Web”. Such cache groups consist of cache tables containing a subset of the backend database’s data, guided by cache constraints. If certain query types are anticipated in the application workload, specifically designed cache groups can directly process parts of incoming declarative queries. The main class of such queries, project-select-join queries, can be supported by specifying a proper set of referential cache constraints.
Cache groups should be managed in the most cost-effective way. Hence, redundant constraints should not be respected during cache loading and consistency maintenance to avoid unnecessary overhead. On the other hand, because as much queries as possible should be processable in the cache, all redundant relationships implied by the set of specified cache constraints should be made explicit to help the query optimizer.
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
Podlipinig, S., Böszörmenyi, L.: A survey of web cache replacement strategies. ACM Computing Surveys 35(4), 374–398 (2003)
Larson, P., Goldstein, J., Zhou, J.: MTCache: Transparent mid-tier database caching in SQL server. In: ICDE Conference, pp. 177–189. IEEE Computer Society, Los Alamitos (2004)
Altinel, M., Bornhövd, C., Krishnamurthy, S., Mohan, C., Pirahesh, H., Reinwald, B.: Cache tables: Paving the way for an adaptive database cache. In: VLDB Conference, pp. 718–729 (2003)
Härder, T., Bühmann, A.: Value complete, column complete, predicate complete – Magic words driving the design of cache groups. VLDB Journal (Accepted for publication, 2006)
Scholl, W.: Cache-Group-Optimierung zur Effizienzsteigerung von Datenbank-Caches. Project thesis, TU Kaiserslautern (2006), http://wwwdvs.informatik.uni-kl.de/pubs/DAsPAs/Sch06.PA.pdf
Bühmann, A., Härder, T., Merker, C.: A Middleware-Based Approach to Database Caching. In: Manolopoulos, Y., Pokorný, J., Sellis, T.K. (eds.) ADBIS 2006. LNCS, vol. 4152, pp. 184–199. Springer, Heidelberg (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bühmann, A., Härder, T. (2007). Making the Most of Cache Groups. In: Kotagiri, R., Krishna, P.R., Mohania, M., Nantajeewarawat, E. (eds) Advances in Databases: Concepts, Systems and Applications. DASFAA 2007. Lecture Notes in Computer Science, vol 4443. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71703-4_31
Download citation
DOI: https://doi.org/10.1007/978-3-540-71703-4_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71702-7
Online ISBN: 978-3-540-71703-4
eBook Packages: Computer ScienceComputer Science (R0)