# Relational algebra

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== Practice == | == Practice == | ||

− | Thus, in contrast to direct SQL text manipulation, [[Libraries and tools/Database interfaces |database | + | Thus, in contrast to direct SQL text manipulation, [[Libraries and tools/Database interfaces|database management]] systems can be approached also in declarative, type safe ways. More specifically, they may be implemented as domain specific embedded languages -- using e.g. Haskell for their host language. See the examples of |

* [[Libraries and tools/Database interfaces/HaskellDB|HaskellDB]] | * [[Libraries and tools/Database interfaces/HaskellDB|HaskellDB]] | ||

* [[Libraries and tools/Database interfaces/CoddFish|CoddFish]] | * [[Libraries and tools/Database interfaces/CoddFish|CoddFish]] | ||

[[Category:Theoretical foundations]] | [[Category:Theoretical foundations]] |

## Revision as of 15:19, 21 April 2007

## Contents |

## 1 Pointfree

José Nuno Oliveira: First Steps in Pointfree Functional Dependency Theory. A concise and deep approach, it is pointfree. See also the author's homepage and also his many other papers -- many materials related to in this topic can be found.

## 2 Just a thought

An early, immature thought of mine to represent relational algebra expressions:

data Query :: * -> * -> * where Identity :: Scheme a => Query a a Restrict :: (Scheme a, Scheme b) => Expr b Bool -> Query a b -> Query a b Project :: (Scheme a, Scheme b, Scheme b', Sub b' b) => b' -> Query a b -> Query a b' Rename :: (Scheme a, Scheme b, Scheme b', Iso b b') => Query a b -> Query a b' Product :: (Scheme a, Scheme b1, Scheme b2, Scheme b, Sum b1 b2 b) => Query a b1 -> Query a b2 -> Query a b Union :: (Scheme a, Scheme b, Id b) => Query a b -> Query a b -> Query a b Difference :: (Scheme a, Scheme b, Id b) => Query a b -> Query a b -> Query a b

... using the concepts / ideas of

- generalised algebraic datatype
- a sort of differential approach (I think I took it from Zipper). Can be regarded as an arrow, and if so, is it worth of doing so?Query
- extensible record and more generally, type arithmetic

*inside*approach (making the relational algebra -- regarded as an embedded language -- richer, more autonome from the host language, but also more restricted):

data Expr :: * -> * -> * where Constant :: (Scheme sch, Literal a) => a -> Expr sch a Attribute :: (Scheme sch, Match attr a, Context attr sch) => attr -> Expr sch a Not :: Scheme sch => Expr sch Bool -> Expr sch Bool And :: Scheme sch => Expr sch Bool -> Expr sch Bool -> Expr sch Bool Or :: Scheme sch => Expr sch Bool -> Expr sch Bool -> Expr sch Bool Equal :: (Scheme sch, Eq a) => Expr sch a -> Expr sch a -> Expr sch Bool Less :: (Scheme sch, Ord a) => Expr sch a -> Expr sch a -> Expr sch Bool

Maybe an *outside* approach (exploiting the host language more, thus enjoying more generality) would be also appropriate:

data Query :: * -> * -> * where ... Restrict :: (Scheme a, Scheme b, Record br, On b br) => (br -> Bool) -> Query a b -> Query a b ... Rename :: (Scheme a, Scheme b, Scheme b', Iso b b') => (b -> b') -> Query a b -> Query a b'

## 3 Practice

Thus, in contrast to direct SQL text manipulation, database management systems can be approached also in declarative, type safe ways. More specifically, they may be implemented as domain specific embedded languages -- using e.g. Haskell for their host language. See the examples of