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Modern applications often manage time-varying data. Despite decades ofresearch on temporal databases, which culminated in the addition of temporaldata operations into the SQL:2011 standard, temporal data query andmanipulation operations are unavailable in most mainstream database managementsystems, leaving developers with the unenviable task of implementing suchfunctionality from scratch. In this paper, we extend \emph{language-integratedquery} to support writing temporal queries and updates in a uniform hostlanguage, with the language performing the required rewriting to emulatetemporal capabilities automatically on any standard relational database. Weintroduce two core languages, $\lambda_{\mathsf{TLINQ}}$ and$\lambda_{\mathsf{VLINQ}}$, for manipulating transaction time and valid timedata respectively, and formalise existing implementation strategies by givingprovably correct semantics-preserving translations into a non-temporal corelanguage, $\lambda_{\mathsf{LINQ}}$. We show how existing work on querynormalisation supports a surprisingly simple implementation strategy for\emph{sequenced joins}. We implement our approach in the Links programminglanguage, and describe a non-trivial case study based on curating COVID-19statistics.

Language-Integrated Query for Temporal Data (Extended version)