Projection Operator-
- Projection Operator (π) is a unary operator in relational algebra that performs a projection operation.
- It displays the columns of a relation or table based on the specified attributes.
- It is a fundamental / Basic operator
- It is a unary operator
Syntax-
π<attribute list>(R) |
Example-
Consider the following Student relation-
ID | Name | Subject | Age |
100 | Ashish | Maths | 19 |
200 | Rahul | Science | 20 |
300 | Naina | Physics | 20 |
400 | Sameer | Chemistry | 21 |
Student
Result for Query πName, Age(Student)-
Name | Age |
Ashish | 19 |
Rahul | 20 |
Naina | 20 |
Sameer | 21 |
Result for Query πID , Name(Student)-
ID | Name |
100 | Ashish |
200 | Rahul |
300 | Naina |
400 | Sameer |
Important Points-
Point-01:
- The degree of output relation (number of columns present) is equal to the number of attributes mentioned in the attribute list.
Point-02:
- Projection operator automatically removes all the duplicates while projecting the output relation.
- So, cardinality of the original relation and output relation may or may not be same.
- If there are no duplicates in the original relation, then the cardinality will remain same otherwise it will surely reduce.
Point-03:
- If attribute list is a super key on relation R, then we will always get the same number of tuples in the output relation.
- This is because then there will be no duplicates to filter.
Point-04:
- Projection operator does not obey commutative property i.e.
π <list2> (π <list1> (R)) ≠ π <list1> (π <list2> (R))
Point-05:
- Selection Operator performs horizontal partitioning of the relation.
- Projection operator performs vertical partitioning of the relation.
Point-06:
- There is only one difference between projection operator of relational algebra and SELECT operation of SQL.
- Projection operator does not allow duplicates while SELECT operation allows duplicates.
- To avoid duplicates in SQL, we use “distinct” keyword and write SELECT distinct.
- Thus, projection operator of relational algebra is equivalent to SELECT operation of SQL.
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