Skip to main content

Now in Temporal Databases

  • Reference work entry
  • First Online:

Synonyms

Current date; Current time; Current timestamp; Until changed

Definition

The word now is a noun in the English language that means “at the present time.” This notion appears in databases in three guises. The first use of now is as a function within queries, views, assertions, etc. For instance, in SQL, CURRENT_DATE within queries, etc., returns the current date as an SQL DATE value; CURRENT_TIME and CURRENT_TIMESTAMP are also available. These constructs are nullary functions.

In the context of a transaction that contains more than one occurrence of these functions, the issue of which time value(s) to return when these functions are invoked becomes important. When having these functions return the same (or consistent) value, it becomes a challenge to select this time and to synchronize it with the serialization time of the transaction containing the query.

The second use is as a database variable used extensively in temporal data model proposals, primarily as timestamp values...

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Recommended Reading

  1. Ben-Zvi J. The time relational model. PhD Dissertation, University of California, Los Angeles; 1982.

    Google Scholar 

  2. Bliujūtė R, Jensen CS, Šaltenis S, Slivinskas G. Light-weight indexing of bitemporal data. In: Proceedings of the 12th International Conference on Scientific and Statistical Database Management; 2000. p. 125–38.

    Google Scholar 

  3. Chamberlin DD, Astraham MM, Eswaran KP, Griffiths PP, Lorie RA, Mehl JW, Reisner P, Wade BW. SEQUEL 2: a unified approach to data definition, manipulation, and control. IBM J Res Dev. 1976;20(6):560–75.

    Article  MATH  Google Scholar 

  4. Finger M. Handling database updates in two-dimensional temporal logic. J Appl Non Classical Logics. 1992;2(2):201–24.

    Article  MathSciNet  MATH  Google Scholar 

  5. Clifford J, Dyreson CE, Isakowitz T, Jensen CS, Snodgrass RT. On the semantics of “now.”. ACM Trans Database Syst. 1997;22(2):171–214.

    Article  Google Scholar 

  6. Clifford J, Tansel AU. On an algebra for historical relational databases: two views. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1985. p. 247–65.

    Article  Google Scholar 

  7. Lomet D, Snodgrass RT, Jensen CS. Exploiting the lock manager for timestamping. In: Proceedings of the International Conference on Database Engineering and Applications; 2005. p. 357–68.

    Google Scholar 

  8. Lorentzos NA, Johnson RG. Extending relational algebra to manipulate temporal data. Inf Syst. 1988;13(3):289–96.

    Article  MATH  Google Scholar 

  9. Montague R. Formal philosophy: selected papers of Richard Montague. New Haven: Yale University Press; 1974.

    Google Scholar 

  10. Šaltenis S, Jensen CS. Indexing of now-relative spatio-bitemporal data. VLDB J. 2002;11(1):1–16.

    Article  Google Scholar 

  11. Snodgrass RT. The temporal query language TQuel. ACM Trans Database Syst. 1988;12(2):247–98.

    Article  MathSciNet  Google Scholar 

  12. Snodgrass RT, editor. The TSQL2 Temporal Query Language. Norwell: Kluwer; 1995.

    MATH  Google Scholar 

  13. Torp K, Jensen CS, Snodgrass RT. Modification semantics in now-relative databases. Inf Syst. 2004;29(78):653–83.

    Article  Google Scholar 

  14. Wiederhold G, Jajodia S, Litwin W. Integrating temporal data in a heterogeneous environment. In: Tansel A, Clifford J, Gadia SK, Jajodia S, Segev A, Snodgrass RT, editors. Temporal databases: theory, design, and implementation, Chapter 22. Redwood City: Benjamin/Cummings; 1993. p. 563–79.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Curtis E. Dyreson .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Dyreson, C.E., Jensen, C.S., Snodgrass, R.T. (2018). Now in Temporal Databases. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_248

Download citation

Publish with us

Policies and ethics