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DBMS Theoryknowledge~10 mins

Candidate key finding using closure in DBMS Theory - Step-by-Step Execution

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Concept Flow - Candidate key finding using closure
Start with attribute set S
Compute closure S+ using FDs
Check if S+ contains all attributes
Candidate key
End
Start with a set of attributes, find its closure using functional dependencies, check if closure covers all attributes to identify candidate keys.
Execution Sample
DBMS Theory
Attributes: {A,B,C,D}
FDs: A->B, B->C, C->D
Check closure of {A}
Find closure of attribute set {A} to see if it covers all attributes, indicating a candidate key.
Analysis Table
StepCurrent ClosureFD AppliedNew Attributes AddedClosure After Step
1{A}A->BB{A,B}
2{A,B}B->CC{A,B,C}
3{A,B,C}C->DD{A,B,C,D}
4{A,B,C,D}No more FDsNone{A,B,C,D}
💡 Closure contains all attributes {A,B,C,D}, so {A} is a candidate key.
State Tracker
VariableStartAfter 1After 2After 3Final
Closure{A}{A,B}{A,B,C}{A,B,C,D}{A,B,C,D}
Key Insights - 2 Insights
Why do we add new attributes to the closure only when the left side of an FD is in the closure?
Because only when the FD's left side attributes are in the closure can we infer the right side attributes, as shown in steps 1-3 of the execution_table.
What if the closure does not contain all attributes after applying all FDs?
Then the attribute set is not a candidate key; we must try a different set, as indicated by the 'No' branch in the concept_flow.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table, what is the closure after step 2?
A{A,B}
B{A,B,C}
C{A,B,C,D}
D{A}
💡 Hint
Check the 'Closure After Step' column for step 2 in the execution_table.
At which step does the closure first include attribute D?
AStep 1
BStep 2
CStep 3
DStep 4
💡 Hint
Look at the 'New Attributes Added' column to see when D is added.
If the FD C->D was missing, what would be the final closure of {A}?
A{A,B,C}
B{A,B}
C{A,B,C,D}
D{A}
💡 Hint
Consider the closure steps without applying C->D from the execution_table.
Concept Snapshot
Candidate key finding using closure:
- Start with attribute set S
- Compute closure S+ by applying FDs repeatedly
- If S+ contains all attributes, S is a candidate key
- Otherwise, try different attribute sets
- Closure helps find minimal keys covering all attributes
Full Transcript
To find candidate keys using closure, start with a set of attributes. Compute its closure by adding attributes that can be functionally determined using the given functional dependencies. Repeat until no new attributes can be added. If the closure contains all attributes of the relation, the starting set is a candidate key. If not, try another set. For example, with attributes A,B,C,D and FDs A->B, B->C, C->D, the closure of {A} is computed stepwise adding B, then C, then D, resulting in {A,B,C,D}. Since this closure contains all attributes, {A} is a candidate key.