| slovo | definícia |
persistent functional language
(foldoc) | Persistent Functional Language
(PFL) A functional database language
developed by Carol Small at Birkbeck College, London, UK and
Alexandra Poulovassilis (now at King's College London).
In PFL, functions are defined equationally and bulk data is
stored using a special class of functions called selectors.
PFL is a lazy language, supports higher-order functions,
has a strong polymorphic type inference system, and allows
new user-defined data types and values. All functions, types
and values persist in a database. Functions can be written
which update all aspects of the database: by adding data to
selectors, by defining new equations, and by introducing new
data types and values.
PFL is "semi-referentially transparent", in the sense that
whilst updates are referentially opaque and are executed
destructively, all evaluation is referentially transparent.
Similarly, type checking is "semi-static" in the sense that
whilst updates are dynamically type checked at run time,
expressions are type checked before they are evaluated and no
type errors can occur during their evaluation.
["{A Functional Approach to Database Updates
(http://web.dcs.bbk.ac.uk/CS/Research/DBPL/papers/INFSYS93.abs.html)}",
C. Small, Information Systems 18(8), 1993, pp. 581-95].
(1995-04-27)
|
| | podobné slovo | definícia |
persistent functional language
(foldoc) | Persistent Functional Language
(PFL) A functional database language
developed by Carol Small at Birkbeck College, London, UK and
Alexandra Poulovassilis (now at King's College London).
In PFL, functions are defined equationally and bulk data is
stored using a special class of functions called selectors.
PFL is a lazy language, supports higher-order functions,
has a strong polymorphic type inference system, and allows
new user-defined data types and values. All functions, types
and values persist in a database. Functions can be written
which update all aspects of the database: by adding data to
selectors, by defining new equations, and by introducing new
data types and values.
PFL is "semi-referentially transparent", in the sense that
whilst updates are referentially opaque and are executed
destructively, all evaluation is referentially transparent.
Similarly, type checking is "semi-static" in the sense that
whilst updates are dynamically type checked at run time,
expressions are type checked before they are evaluated and no
type errors can occur during their evaluation.
["{A Functional Approach to Database Updates
(http://web.dcs.bbk.ac.uk/CS/Research/DBPL/papers/INFSYS93.abs.html)}",
C. Small, Information Systems 18(8), 1993, pp. 581-95].
(1995-04-27)
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