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Schema Versioning

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Definition

Schema versioning deals with the need to retain current data, and the ability to query and update it, through alternate database structures. (The structure of a database is held in a schema (pl. schemata or schemas). Commonly, particularly in temporal databases, these schemata represent the historical structure of a database but this may not always be the case.) Schema Versioning requires not only that data are not lost in schema transformation but also requires that all data are able to be queried, both retrospectively and prospectively, through user-definable version interfaces. Partial schema versioning is supported when data stored under any historical schema may be viewed through any other schema but may only be updated through one specified schema version – normally the current or active schema. (Schema evolution and schema versioning has been conflated in the literature with the two terms occasionally being used interchangeably.)

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Recommended Reading

  1. Kim W., Ballou N., Chou H.T., Garza J.F., and Woelk D. Features of the orion object-oriented database system. In Object-Oriented Concepts, Databases and Applications. W. Kim and F. Lochovsky (eds.). ACM Press, New York, 1989, pp. 251–282.

    Google Scholar 

  2. Madhavan J. and Halevy A.Y. Composing mappings among data sources. In Proc. 29th Int. Conf. on Very Large Data Bases, 2003, pp. 572–583.

    Google Scholar 

  3. McKenzie L. and Snodgrass R. Schema evolution and the relational algebra. Inf. Syst., 15(2):207–232, 1990.

    Google Scholar 

  4. Melnik S., Rahm E., and Bernstein P.A. Rondo: a programming platform for generic model management. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 2003, pp. 193–204.

    Google Scholar 

  5. Miller R. Ioannidis Y. and Ramakrishnan R. The use of information capacity in schema integration and translation. In Proc. 29th Int. Conf. on Very Large Data Bases, 1993, pp. 120–133.

    Google Scholar 

  6. Osborn S. The role of polymorphism in schema evolution in an object-oriented database. IEEE Trans. Know. Data Eng., 1(3):310–317, 1989.

    Google Scholar 

  7. Penney D. and Stein J. Class modification in the gemstone object-oriented DBMS. In Proc. 1987 Conf. on Object-Oriented Programming Systems, Languages, and Applications, 22(12):111–117, 1987.

    Google Scholar 

  8. Roddick J.F. SQL/SE - a query language extension for databases supporting schema evolution. ACM SIGMOD Rec., 21(3):10–16, 1992.

    Google Scholar 

  9. Roddick J.F., Grandi F., Mandreoli F., and Scalas M.R. Beyond schema versioning: a flexible model for spatio-temporal schema selection. Geoinformatica, 5(1):33–50, 2001.

    MATH  Google Scholar 

  10. Roddick J.F. and Snodgrass R. Schema versioning support, Chapter 22. In The TSQL2 Temporal Query Language. R. Snodgrass (ed.). Kluwer, Boston, 1995, pp. 427–449.

    Google Scholar 

  11. Skyt J., Jensen C.S., and Mark L. A foundation for vacuuming temporal databases. Data Know. Eng., 44(1):1–29, 2003.

    MATH  Google Scholar 

  12. Zdonik S. 1986, Version management in an object-oriented database. In Proc. Int. Workshop on Adv. Programming Env., pp. 405–422. Vol. 244 of LNCS,

    Google Scholar 

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Roddick, J.F. (2009). Schema Versioning. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_323

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