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Appendix C:
Advanced Normalization Theory
Reasoning with MVDs
Higher normal forms


Join dependencies and PJNF



DKNF

Database System Concepts

7.1

©Silberschatz, Korth and Sudarshan
Theory of Multivalued Dependencies
Let D denote a set of functional and multivalued dependencies.
The closure D+ of D is the set of all functional and multivalued
dependencies logically implied by D.
Sound and complete inference rules for functional and
multivalued dependencies:
1. Reflexivity rule. If α is a set of attributes and β ⊆ α, then α →β
holds.
2. Augmentation rule. If α → β holds and γ is a set of attributes,
then γ α→γ β holds.
3. Transitivity rule. If α → β holds and γ α→γ β holds, then α →γ
holds.

Database System Concepts

7.2

©Silberschatz, Korth and Sudarshan
Theory of Multivalued Dependencies
(Cont.)
4. Complementation rule. If α
holds.

β holds, then α

5. Multivalued augmentation rule. If α
δ ⊆ γ, then γ α
δ β holds.
6. Multivalued transitivity rule . If α
then α
γ – β holds.
7. Replication rule. If α

R–β–α

β holds and γ ⊆ R and
β holds and β

β holds, then α

γ holds,

β.

8. Coalescence rule. If α
β holds and γ ⊆ β and there is a δ
such that δ ⊆ R and δ ∩ β = ∅ and δ
γ, then α
γ holds.

Database System Concepts

7.3

©Silberschatz, Korth and Sudarshan
Simplification of the Computation of
D+
We can simplify the computation of the closure of D by using the
following rules (proved using rules 1-8).


Multivalued union rule. If α
α
βγ holds.



Intersection rule. If α
holds.



Difference rule. If If α
β holds and α
holds and α
γ – β holds.

Database System Concepts

β holds and α

β holds and α

7.4

γ holds, then

γ holds, then α
γ holds, then α

β∩γ
β–γ

©Silberschatz, Korth and Sudarshan
Example
R = (A, B, C, G, H, I)
D = {A
B
B
HI
CG H}
Some members of D+:


A
CGHI.
Since A
B, the complementation rule (4) implies that
A
R – B – A.
Since R – B – A = CGHI, so A
CGHI.



A
HI.
Since A
B and B
rule (6) implies that B
Since HI – B = HI, A

Database System Concepts

HI, the multivalued transitivity
HI – B.
HI.

7.5

©Silberschatz, Korth and Sudarshan
Example (Cont.)
Some members of D+ (cont.):


B
H.
Apply the coalescence rule (8); B
HI holds.
Since H ⊆ HI and CG
H and CG ∩ HI = Ø the
,
coalescence rule is satisfied with α being B, β being HI, δ being CG,
and γ being H. We conclude that B H.



A
CG.
A
CGHI and A
HI.
By the difference rule, A
Since CGHI – HI = CG, A

Database System Concepts

CGHI – HI.
CG.

7.6

©Silberschatz, Korth and Sudarshan
Normalization Using Join
Dependencies
Join dependencies constrain the set of legal relations over a schema
R to those relations for which a given decomposition is a lossless-join
decomposition.
Let R be a relation schema and R1 , R2 ,..., Rn be a decomposition of R.
If R = R1 ∪ R2 ∪ …. ∪ Rn, we say that a relation r(R) satisfies the join
dependency *(R1 , R2 ,..., Rn) if:
r =∏R1 (r) ⋈ ∏R2 (r) ⋈ …… ⋈ ∏Rn(r)
A join dependency is trivial if one of the Ri is R itself.
A join dependency *(R1, R2) is equivalent to the multivalued
dependency R1 ∩ R2
R2. Conversely, α
β is equivalent to
∪(R - β), α ∪ β)

*(α

However, there are join dependencies that are not equivalent to any
multivalued dependency.

Database System Concepts

7.7

©Silberschatz, Korth and Sudarshan
Project-Join Normal Form (PJNF)
A relation schema R is in PJNF with respect to a set D of functional,
multivalued, and join dependencies if for all join dependencies in D+
of the form
*(R1 , R2 ,..., Rn ) where each Ri ⊆ R
and R =R1∪ R2 ∪ ... ∪ Rn

at least one of the following holds:


*(R1 , R2 ,..., Rn ) is a trivial join dependency.



Every Ri is a superkey for R.

Since every multivalued dependency is also a join dependency,
every PJNF schema is also in 4NF.

Database System Concepts

7.8

©Silberschatz, Korth and Sudarshan
Example
Consider Loan-info-schema = (branch-name, customer-name, loannumber, amount).
Each loan has one or more customers, is in one or more branches
and has a loan amount; these relationships are independent, hence
we have the join dependency
*(=(loan-number, branch-name), (loan-number, customer-name),
(loan-number, amount))
Loan-info-schema is not in PJNF with respect to the set of
dependencies containing the above join dependency. To put Loaninfo-schema into PJNF, we must decompose it into the three
schemas specified by the join dependency:


(loan-number, branch-name)



(loan-number, customer-name)



(loan-number, amount)

Database System Concepts

7.9

©Silberschatz, Korth and Sudarshan
Domain-Key Normal Form (DKNY)
Domain declaration. Let A be an attribute, and let dom be a
set of values. The domain declaration A ⊆ dom requires that the
A value of all tuples be values in dom.
Key declaration. Let R be a relation schema with K ⊆ R. The
key declaration key (K) requires that K be a superkey for
schema R (K → R). All key declarations are functional
dependencies but not all functional dependencies are key
declarations.
General constraint. A general constraint is a predicate on the
set of all relations on a given schema.
Let D be a set of domain constraints and let K be a set of key
constraints for a relation schema R. Let G denote the general
constraints for R. Schema R is in DKNF if D ∪ K logically imply
G.

Database System Concepts

7.10

©Silberschatz, Korth and Sudarshan
Example
Accounts whose account-number begins with the digit 9 are
special high-interest accounts with a minimum balance of 2500.
General constraint: ``If the first digit of t [account-number] is 9,
then t [balance] ≥ 2500.''
DKNF design:
Regular-acct-schema = (branch-name, account-number, balance)
Special-acct-schema = (branch-name, account-number, balance)

Domain constraints for {Special-acct-schema} require that for
each account:


The account number begins with 9.



The balance is greater than 2500.

Database System Concepts

7.11

©Silberschatz, Korth and Sudarshan
DKNF rephrasing of PJNF Definition
Let R = (A1 , A2 ,..., An) be a relation schema. Let dom(Ai ) denote
the domain of attribute Ai, and let all these domains be infinite.
Then all domain constraints D are of the form Ai ⊆ dom (Ai ).
Let the general constraints be a set G of functional, multivalued,
or join dependencies. If F is the set of functional dependencies in
G, let the set K of key constraints be those nontrivial functional
dependencies in F+ of the form α → R.
Schema R is in PJNF if and only if it is in DKNF with respect to
D, K, and G.

Database System Concepts

7.12

©Silberschatz, Korth and Sudarshan

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App c

  • 1. Appendix C: Advanced Normalization Theory Reasoning with MVDs Higher normal forms  Join dependencies and PJNF  DKNF Database System Concepts 7.1 ©Silberschatz, Korth and Sudarshan
  • 2. Theory of Multivalued Dependencies Let D denote a set of functional and multivalued dependencies. The closure D+ of D is the set of all functional and multivalued dependencies logically implied by D. Sound and complete inference rules for functional and multivalued dependencies: 1. Reflexivity rule. If α is a set of attributes and β ⊆ α, then α →β holds. 2. Augmentation rule. If α → β holds and γ is a set of attributes, then γ α→γ β holds. 3. Transitivity rule. If α → β holds and γ α→γ β holds, then α →γ holds. Database System Concepts 7.2 ©Silberschatz, Korth and Sudarshan
  • 3. Theory of Multivalued Dependencies (Cont.) 4. Complementation rule. If α holds. β holds, then α 5. Multivalued augmentation rule. If α δ ⊆ γ, then γ α δ β holds. 6. Multivalued transitivity rule . If α then α γ – β holds. 7. Replication rule. If α R–β–α β holds and γ ⊆ R and β holds and β β holds, then α γ holds, β. 8. Coalescence rule. If α β holds and γ ⊆ β and there is a δ such that δ ⊆ R and δ ∩ β = ∅ and δ γ, then α γ holds. Database System Concepts 7.3 ©Silberschatz, Korth and Sudarshan
  • 4. Simplification of the Computation of D+ We can simplify the computation of the closure of D by using the following rules (proved using rules 1-8).  Multivalued union rule. If α α βγ holds.  Intersection rule. If α holds.  Difference rule. If If α β holds and α holds and α γ – β holds. Database System Concepts β holds and α β holds and α 7.4 γ holds, then γ holds, then α γ holds, then α β∩γ β–γ ©Silberschatz, Korth and Sudarshan
  • 5. Example R = (A, B, C, G, H, I) D = {A B B HI CG H} Some members of D+:  A CGHI. Since A B, the complementation rule (4) implies that A R – B – A. Since R – B – A = CGHI, so A CGHI.  A HI. Since A B and B rule (6) implies that B Since HI – B = HI, A Database System Concepts HI, the multivalued transitivity HI – B. HI. 7.5 ©Silberschatz, Korth and Sudarshan
  • 6. Example (Cont.) Some members of D+ (cont.):  B H. Apply the coalescence rule (8); B HI holds. Since H ⊆ HI and CG H and CG ∩ HI = Ø the , coalescence rule is satisfied with α being B, β being HI, δ being CG, and γ being H. We conclude that B H.  A CG. A CGHI and A HI. By the difference rule, A Since CGHI – HI = CG, A Database System Concepts CGHI – HI. CG. 7.6 ©Silberschatz, Korth and Sudarshan
  • 7. Normalization Using Join Dependencies Join dependencies constrain the set of legal relations over a schema R to those relations for which a given decomposition is a lossless-join decomposition. Let R be a relation schema and R1 , R2 ,..., Rn be a decomposition of R. If R = R1 ∪ R2 ∪ …. ∪ Rn, we say that a relation r(R) satisfies the join dependency *(R1 , R2 ,..., Rn) if: r =∏R1 (r) ⋈ ∏R2 (r) ⋈ …… ⋈ ∏Rn(r) A join dependency is trivial if one of the Ri is R itself. A join dependency *(R1, R2) is equivalent to the multivalued dependency R1 ∩ R2 R2. Conversely, α β is equivalent to ∪(R - β), α ∪ β) *(α However, there are join dependencies that are not equivalent to any multivalued dependency. Database System Concepts 7.7 ©Silberschatz, Korth and Sudarshan
  • 8. Project-Join Normal Form (PJNF) A relation schema R is in PJNF with respect to a set D of functional, multivalued, and join dependencies if for all join dependencies in D+ of the form *(R1 , R2 ,..., Rn ) where each Ri ⊆ R and R =R1∪ R2 ∪ ... ∪ Rn at least one of the following holds:  *(R1 , R2 ,..., Rn ) is a trivial join dependency.  Every Ri is a superkey for R. Since every multivalued dependency is also a join dependency, every PJNF schema is also in 4NF. Database System Concepts 7.8 ©Silberschatz, Korth and Sudarshan
  • 9. Example Consider Loan-info-schema = (branch-name, customer-name, loannumber, amount). Each loan has one or more customers, is in one or more branches and has a loan amount; these relationships are independent, hence we have the join dependency *(=(loan-number, branch-name), (loan-number, customer-name), (loan-number, amount)) Loan-info-schema is not in PJNF with respect to the set of dependencies containing the above join dependency. To put Loaninfo-schema into PJNF, we must decompose it into the three schemas specified by the join dependency:  (loan-number, branch-name)  (loan-number, customer-name)  (loan-number, amount) Database System Concepts 7.9 ©Silberschatz, Korth and Sudarshan
  • 10. Domain-Key Normal Form (DKNY) Domain declaration. Let A be an attribute, and let dom be a set of values. The domain declaration A ⊆ dom requires that the A value of all tuples be values in dom. Key declaration. Let R be a relation schema with K ⊆ R. The key declaration key (K) requires that K be a superkey for schema R (K → R). All key declarations are functional dependencies but not all functional dependencies are key declarations. General constraint. A general constraint is a predicate on the set of all relations on a given schema. Let D be a set of domain constraints and let K be a set of key constraints for a relation schema R. Let G denote the general constraints for R. Schema R is in DKNF if D ∪ K logically imply G. Database System Concepts 7.10 ©Silberschatz, Korth and Sudarshan
  • 11. Example Accounts whose account-number begins with the digit 9 are special high-interest accounts with a minimum balance of 2500. General constraint: ``If the first digit of t [account-number] is 9, then t [balance] ≥ 2500.'' DKNF design: Regular-acct-schema = (branch-name, account-number, balance) Special-acct-schema = (branch-name, account-number, balance) Domain constraints for {Special-acct-schema} require that for each account:  The account number begins with 9.  The balance is greater than 2500. Database System Concepts 7.11 ©Silberschatz, Korth and Sudarshan
  • 12. DKNF rephrasing of PJNF Definition Let R = (A1 , A2 ,..., An) be a relation schema. Let dom(Ai ) denote the domain of attribute Ai, and let all these domains be infinite. Then all domain constraints D are of the form Ai ⊆ dom (Ai ). Let the general constraints be a set G of functional, multivalued, or join dependencies. If F is the set of functional dependencies in G, let the set K of key constraints be those nontrivial functional dependencies in F+ of the form α → R. Schema R is in PJNF if and only if it is in DKNF with respect to D, K, and G. Database System Concepts 7.12 ©Silberschatz, Korth and Sudarshan