Real Computer Science begins where we almost stop reading ...: Lossless-join Decomposition

Monday 20 May 2013

Lossless-join Decomposition

Can also be called Nonadditive. If you decompose a relation $R$ into relations $R_1$ and $R_2$ you will guarantee a Lossless-Join if $R_1$ ⋈ $R_2$ = $R$ .
Let $R$ be a relation schema.
Let $F$ be a set of functional dependencies on $R$ .
Let $R_1$ and $R_2$ form a decomposition of $R$ .
The decomposition is a lossless-join decomposition of R if at least one of the following functional dependencies are in $F$ ⁺(where $F$ ⁺ stands for the closure for every attribute in $F$ )

$R_1$ ∩ $R_2$ → $R_1 - R_2$
$R_1$ ∩ $R_2$ → $R_2 - R_1$

Example

Let $R = (A, B, C, D)$ be the relation schema, with $A$ , $B$ , $C$ and $D$ attributes.
Let $F = \{ A \rightarrow BC \}$ be the set of functional dependencies.
Decomposition into $R_1 = (A, B, C)$ and $R_2 = (A, D)$ is lossless under $F$ because $R_1 \cap R_2 = (A)$ and $A \rightarrow BC$ so $R_1 \cap R_2 \rightarrow R_1 - R_2$ .

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Monday 20 May 2013

Lossless-join Decomposition

Example

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