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https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-tables
SQL Server 2016 introduced support for temporal tables (also known as system-versioned temporal tables) as a database feature that brings built-in support for providing information about data stored in the table at any point in time rather than only the data that is correct at the current moment in time.
http://web.cs.ucla.edu/~zaniolo/papers/dexa06.pdf
the efficiency of temporal queries support is the efficiency of supporting some classical difficult queries, such as coalescing and temporal aggregates. Temporal coalescing is a difficult issue of temporal databases. With SQL:1992, it needs nearly 30 lines of code. Performing coalescing in SQL:1992 is exceedingly in-efficient [6].
https://core.ac.uk/download/pdf/29845222.pdf
This paper examines the current state of temporal support in relational databases and the type of situations where we need that support. There has been much research in this area and there were attempts in the American National Standards Institute (ANSI) and the International Organisation for Standardisation (ISO)
https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-table-considerations-and-limitations
Temporal Table Considerations and Limitations. 09/12/2017; 4 minutes to read +1; In this article. APPLIES TO: SQL Server 2016 and later Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse There are some considerations and limitations to be aware of when working with temporal tables, due to the nature of system-versioning.
https://www.amazon.com/Time-Relational-Theory-Databases-Management/dp/0128006315
Time and Relational Theory provides an in-depth description of temporal database systems, which provide special facilities for storing, querying, and updating historical and future data. Traditionally, database management systems provide little or no special support for temporal data at all. This situation is changing because:Author: C.J. Date
https://link.springer.com/chapter/10.1007%2F11827405_66
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.Cited by: 14
https://en.wikipedia.org/wiki/Talk:Temporal_database
Then, when O/R support was finally published in SQL:1999, the new presing requirement for XML support got in the way of any attempt to revive temporal support. A similar comment applies to "the temporal aspects usually include". How can "usually" be justified, given the actual nonexistence of temporal databases, for lack of any technology to ...
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