Abstract
The interest in, and user demand for, temporal databases have only increased with time; unfortunately, DBMS vendors and standard groups have not moved aggressively to extend their systems with support for transaction-time or valid-time. This can be partially attributed to the expected major R&D costs to add temporal support to RDBMS by directly extending the database engine. The newly introduced SQL:2003 standards have actually significantly enhanced our ability to support temporal applications in commercial database systems. The long recognized problem of coalescing, which is difficult to support in the framework of SQL:1992, can now be effectively supported in RDBMS. In this paper, we investigate alternatives of temporal coalescing queries under temporal data models in RDBMS. We provide an SQL:2003-based query algorithm and a native relational user defined aggregates (UDA) approach – both approaches only require a single scan of the database. We conclude that temporal queries can be best supported by OLAP functions supported in the current SQL:2003 standards. These new findings demonstrate that the current RDBMS are mature enough to directly support efficient temporal queries, and provide a new paradigm for temporal database research and implementation.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ozsoyoglu, G., Snodgrass, R.T.: Temporal and Real-Time Databases: A Survey. TKDE 7(4), 513–532 (1995)
Grandi, F.: An Annotated Bibliography on Temporal and Evolution Aspects in the World Wide Web. TimeCenter Technique Report (2003)
Snodgrass, R.T.: The TSQL2 Temporal Query Language. Kluwer, Dordrecht (1995)
Snodgrass, R.T., Böhlen, M.H., Jensen, C.S., Steiner, A.: Transitioning Temporal Support in TSQL2 to SQL3. In: Etzion, O., Jajodia, S., Sripada, S. (eds.) Dagstuhl Seminar 1997. LNCS, vol. 1399, pp. 150–194. Springer, Heidelberg (1998)
Wang, F., Zaniolo, C., Zhou, X.: Temporal XML? SQL Strikes Back!. Time (2005)
Böhlen, M.H., Snodgrass, R.T., Soo, M.D.: Coalescing in Temporal Databases. In: VLDB (1996)
Zaniolo, C., Ceri, S., Faloutsos, C., Snodgrass, R.T., Subrahmanian, V.S., Zicari, R.: Advanced Database Systems. Morgan Kaufmann Publishers, San Francisco (1997)
Toman, D.: Point-based Temporal Extensions of SQL. In: Bry, F., Ramamohanarao, K. (eds.) DOOD 1997. LNCS, vol. 1341, pp. 103–121. Springer, Heidelberg (1997)
Snodgrass, R.T.: Developing Time-Oriented Database Applications in SQL. Morgan Kaufmann, San Francisco (1999)
Leung, T.Y., Pirahesh, H.: Querying Historical Data in IBM DB2 C/S DBMS Using Recursive SQL. Recent Advances in Temporal Databases (1995)
SQL 2003 Standard Support in Oracle Database 10g, http://otn.oracle.com/products/database/application_development/pdf/SQL_2003_TWP.pdf
Zaniolo, C., Luo, R., Wang, H., et al.: Stream Mill: Bringing Power and Generality to Data Stream Management Systems. World Wide Web, http://wis.cs.ucla.edu/stream-mill/index.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhou, X., Wang, F., Zaniolo, C. (2006). Efficient Temporal Coalescing Query Support in Relational Database Systems. In: Bressan, S., Küng, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2006. Lecture Notes in Computer Science, vol 4080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11827405_66
Download citation
DOI: https://doi.org/10.1007/11827405_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37871-6
Online ISBN: 978-3-540-37872-3
eBook Packages: Computer ScienceComputer Science (R0)