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Partial dependency means that a nonprime attribute is functionally dependent on part of a candidate key. (a nonprime attribute is an attribute that's not part of any candidate key. ) eg if {a,b} → {c} but also {a} → {c} then {c} is partially functionally dependent on {a,b}. Dependency of one nonprime attribute on another attribute. Charge per hour changes with job classification, charge must be updated.
Most important attribute is its primary key. It gurantees entity integrity. A fd (functional dependency) that holds in a relation is partial when removing one of the determining attributes gives a fd that holds in the relation. A fd that isn't partial is full. If {a,b} → {c} but also {a} → {c} then {c} is partially functionally dependent on {a,b}. Here's a relation value where that example condition holds. Partial dependency means that a nonprime attribute is functionally dependent on part of a candidate key. Here is codd's original definition of full fd in further normalization of the data base relational model: Suppose d,e are two distinct subcollections of the attributes of a.
Normlaization

Normlaization

Normlaization

NORMALIZATION - GATE Overflow

What is the difference between partial and transitive dependency in

Geog 495: GIS Database Design

Lecture 04 normalization

Geog 495: GIS Database Design

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What is the difference between partial and transitive dependency in

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