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Achieving a Sequenced, Relational Query Language with Log-Segmented Timestamps

Authors Curtis E. Dyreson , M. A. Manazir Ahsan

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Author Details

Curtis E. Dyreson
  • Department of Computer Science, Utah State University, Logan, UT, USA
M. A. Manazir Ahsan
  • Department of Computer Science, Utah State University, Logan, UT, USA

Acknowledgements

The open access publication of this article was supported by the Alpen-Adria-Universität Klagenfurt, Austria.

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Curtis E. Dyreson and M. A. Manazir Ahsan. Achieving a Sequenced, Relational Query Language with Log-Segmented Timestamps. In 28th International Symposium on Temporal Representation and Reasoning (TIME 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 206, pp. 14:1-14:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.TIME.2021.14

Abstract

In a period-timestamped, relational temporal database, each tuple is timestamped with a period. The timestamp records when the tuple is "alive" in some temporal dimension. Sequenced semantics is a special semantics for evaluating a query in a temporal database. The semantics stipulates that the query must, in effect, be evaluated simultaneously in each time instant using the tuples alive at that instant. Previous research has proposed changes to the query evaluation engine to support sequenced semantics. In this paper we show how to achieve sequenced semantics without modifying a query evaluation engine. Our technique has two pillars. First we use log-segmented timestamps to record a tuple’s lifetime. A log-segmented timestamp divides the time-line into segments of known length. Any temporal period can be represented by a small number of such segments. Second, by taking advantage of the properties of log-segmented timestamps, we translate a sequenced relational algebra query to a non-temporal relational algebra query, using the operations already present in an unmodified, non-temporal query evaluation engine. The primary contribution of this paper is how to implement sequenced semantics using log-segmented timestamped tuples in a generic DBMS, which, to the best of our knowledge, has not been previously shown.

Subject Classification

ACM Subject Classification
  • Information systems → Temporal data
  • Information systems → Relational database query languages
Keywords
  • Temporal databases
  • sequenced semantics
  • query evaluation
  • relational algebra

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References

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