Relational Algebra
Relational algebra is a procedural query language. It gives a step by step process to obtain the result of the query. It uses operators to perform queries.
Types of Relational operation
1. Select Operation:
- The select operation selects tuples that satisfy a given predicate.
- It is denoted by sigma (σ).
Where:
σ is used for selection prediction
r is used for relation
p is used as a propositional logic formula which may use connectors like: AND OR and NOT. These relational can use as relational operators like =, ≠, ≥, <, >, ≤.
For example: LOAN Relation
BRANCH_NAME |
LOAN_NO |
AMOUNT |
Downtown |
L-17 |
1000 |
Redwood |
L-23 |
2000 |
Perryride |
L-15 |
1500 |
Downtown |
L-14 |
1500 |
Mianus |
L-13 |
500 |
Roundhill |
L-11 |
900 |
Perryride |
L-16 |
1300 |
Input:
σ BRANCH_NAME="perryride" (LOAN)
Output:
BRANCH_NAME |
LOAN_NO |
AMOUNT |
Perryride |
L-15 |
1500 |
Perryride |
L-16 |
1300 |
2. Project Operation:
- This operation shows the list of those attributes that we wish to appear in the result. Rest of the attributes are eliminated from the table.
- It is denoted by ∏.
Notation: ∏ A1, A2, An (r)
Where
A1, A2, A3 is used as an attribute name of relation r.
Example: CUSTOMER RELATION
NAME |
STREET |
CITY |
Jones |
Main |
Harrison |
Smith |
North |
Rye |
Hays |
Main |
Harrison |
Curry |
North |
Rye |
Johnson |
Alma |
Brooklyn |
Brooks |
Senator |
Brooklyn |
Input:
Output:
NAME |
CITY |
Jones |
Harrison |
Smith |
Rye |
Hays |
Harrison |
Curry |
Rye |
Johnson |
Brooklyn |
Brooks |
Brooklyn |
3. Union Operation:
- Suppose there are two tuples R and S. The union operation contains all the tuples that are either in R or S or both in R & S.
- It eliminates the duplicate tuples. It is denoted by ∪.
A union operation must hold the following condition:
- R and S must have the attribute of the same number.
- Duplicate tuples are eliminated automatically.
Example:
DEPOSITOR RELATION
CUSTOMER_NAME |
ACCOUNT_NO |
Johnson |
A-101 |
Smith |
A-121 |
Mayes |
A-321 |
Turner |
A-176 |
Johnson |
A-273 |
Jones |
A-472 |
Lindsay |
A-284 |
BORROW RELATION
CUSTOMER_NAME |
LOAN_NO |
Jones |
L-17 |
Smith |
L-23 |
Hayes |
L-15 |
Jackson |
L-14 |
Curry |
L-93 |
Smith |
L-11 |
Williams |
L-17 |
Input:
∏ CUSTOMER_NAME (BORROW) ∪ ∏ CUSTOMER_NAME (DEPOSITOR)
Output:
CUSTOMER_NAME |
Johnson |
Smith |
Hayes |
Turner |
Jones |
Lindsay |
Jackson |
Curry |
Williams |
Mayes |
4. Set Intersection:
- Suppose there are two tuples R and S. The set intersection operation contains all tuples that are in both R & S.
- It is denoted by intersection ∩.
Example: Using the above DEPOSITOR table and BORROW table
Input:
∏ CUSTOMER_NAME (BORROW) ∩ ∏ CUSTOMER_NAME (DEPOSITOR)
Output:
CUSTOMER_NAME |
Smith |
Jones |
5. Set Difference:
- Suppose there are two tuples R and S. The set intersection operation contains all tuples that are in R but not in S.
- It is denoted by intersection minus (-).
Example: Using the above DEPOSITOR table and BORROW table
Input:
∏ CUSTOMER_NAME (BORROW) - ∏ CUSTOMER_NAME (DEPOSITOR)
Output:
CUSTOMER_NAME |
Jackson |
Hayes |
Willians |
Curry |
6. Cartesian product
- The Cartesian product is used to combine each row in one table with each row in the other table. It is also known as a cross product.
- It is denoted by X.
Example:
EMPLOYEE
EMP_ID |
EMP_NAME |
EMP_DEPT |
1 |
Smith |
A |
2 |
Harry |
C |
3 |
John |
B |
DEPARTMENT
DEPT_NO |
DEPT_NAME |
A |
Marketing |
B |
Sales |
C |
Legal |
Input:
Output:
EMP_ID |
EMP_NAME |
EMP_DEPT |
DEPT_NO |
DEPT_NAME |
1 |
Smith |
A |
A |
Marketing |
1 |
Smith |
A |
B |
Sales |
1 |
Smith |
A |
C |
Legal |
2 |
Harry |
C |
A |
Marketing |
2 |
Harry |
C |
B |
Sales |
2 |
Harry |
C |
C |
Legal |
3 |
John |
B |
A |
Marketing |
3 |
John |
B |
B |
Sales |
3 |
John |
B |
C |
Legal |
7. Rename Operation:
The rename operation is used to rename the output relation. It is denoted by rho (ρ).
Example: We can use the rename operator to rename STUDENT relation to STUDENT1.
Note: Apart from these common operations Relational algebra can be used in Join operations.
|