In this article, I will discuss common types of questions in relational algebra which are asked in GATE. Before reading this article, you should have idea about basic and extended operators in relational algebra.

**Type 1:** **Given a relational algebra expression, find the result. Suppose you have a relation **

**Order (Prod_Id, Agent_Id, Order_Month) and you have to find out what will the following algebra expression return.**

∏_{Order1.Prod_Id}(ρ(Order1,Order)_{Order1.Prod_Id=Order2.Prod_Id and Order1.Agent_Id≠Order2.Agent_Id }_{and Order1.Order_Month=Order2.Order_Month }ρ(Order2,Order))

- Process the expression starting from innermost brackets.
- In this example, we have renamed order to Order1 and Order2 (Both represent the same relation order). Then we have applied the conditional join between Order1 and Order2.
- It will return those rows where Product_Id and Order_Month of Order1 and Order2 are same but Agent_Id of Order1 and Order2 is different.
- It implies the rows where same product is ordered by two different agents in the same month.
- Then we are projecting the Prod_Id.
- So the final output will return the Prod_Id of products which are ordered by different agents in the same month. We can do this by taking a sample data. Let Order relation consists of following data.

ORDER

Prod_Id | Agent_Id | Order_Month |

P001 | A001 | JAN |

P002 | A002 | FEB |

P002 | A001 | FEB |

P001 | A002 | FEB |

When we apply the following expression, the rows which are highlighted in blue will be selected.

(ρ(Order1,Order)_{Order1.Prod_Id=Order2.Prod_Id and Order1.Agent_Id≠Order2.Agent_Id and Order1.Order_Month=Order2.Order_Month }ρ(Order2,Order))

Order1.Prod_Id | Order1.Agent_Id | Order1.Order_Month | Order2.Prod_Id | Order2.Agent_Id | Order2.Order_Month |

P001 | A001 | JAN | P001 | A001 | JAN |

P002 | A002 | FEB | P001 | A001 | JAN |

P002 | A001 | FEB | P001 | A001 | JAN |

P001 | A002 | FEB | P001 | A001 | JAN |

P001 | A001 | JAN | P002 | A002 | FEB |

P002 | A002 | FEB | P002 | A002 | FEB |

P002 | A001 | FEB | P002 | A002 | FEB |

P001 | A002 | FEB | P002 | A002 | FEB |

P001 | A001 | JAN | P002 | A001 | FEB |

P002 | A002 | FEB | P002 | A001 | FEB |

P002 | A001 | FEB | P002 | A001 | FEB |

P001 | A002 | FEB | P002 | A001 | FEB |

P001 | A001 | JAN | P001 | A002 | FEB |

P002 | A002 | FEB | P001 | A002 | FEB |

P002 | A001 | FEB | P001 | A002 | FEB |

P001 | A002 | FEB | P001 | A002 | FEB |

After projecting Order1.Prod_Id, the output will be **P002 **which is Prod_Id of products which are ordered by at least two different agents in same month.

**Note:** If we want to find Prod_Id which are ordered by at least three different agents in same month, it can be done as:

∏_{Order1.Prod_Id}(σ_{Order1.Prod_Id=Order2.Prod_Id and Order1.Prod_Id=Order3.Prod_Id and Order1.Agent_Id≠Order2.Agent_Id and Order1.Agent_Id≠Order3.Agent_Id and Order2.Agent_Id≠Order3.Agent_Id and Order1.Order_Month=Order2.Order_Month and Order1.Order_Month=Order3.Order_Month }(ρ(Order1,Order)X ρ(Order2,Order)X ρ(Order3,Order)))

**Type 2:** **Given two relations, what will be the maximum and minimum number of tuples after natural join? Consider the following relation R(A, B,C) and S(B,D,E) with underlined primary key. The relation R contains 200 tuples and the relation S contains 100 tuples. What is the maximum number of tuples possible in the natural Join R and S?**

- To solve this type of question, first we will see that on which attribute natural join will take place.
- Natural join selects those rows which have equal values for common attribute. In this case, expression would be like:

σ_{R.B=S.B }(RX S)

- In relation R, attribute B is primary key. So Relation R will have 200 distinct values of B.
- On the other hand, Relation S has BD as primary key. So attribute B can have 100 distinct values or 1 value for all rows.

**Case 1:** S.B has 100 distinct values and each of these values match to R.B

R |
S |
||

B |
Other Attributes |
B |
Other Attributes |

1 | 1 | ||

2 | 2 | ||

. | . | ||

. | . | ||

. | . | ||

200 | 100 |

In this case, every value of B in S will match to a value of B in R. So natural join will have 100 tuples.

**Case 2:** S.B has 1 values and this values match to R.B

R |
S |
||

B |
Other Attributes |
B |
Other Attributes |

1 | 1 | ||

2 | 1 | ||

. | . | ||

. | . | ||

. | . | ||

200 | 1 |

In this case, every value of B in S will match to a value of B in R. So natural join will have 100 tuples.

**Case 3:** S.B has 100 distinct values and none of these values matches to R.B

R |
S |
||

B |
Other Attributes |
B |
Other Attributes |

1 | 201 | ||

2 | 202 | ||

. | . | ||

. | . | ||

. | . | ||

200 | 300 |

In this case, no value of B in S will match to a value of B in R. So natural join will have 0 tuple.

**Case 4:** S.B has 1 value and it does not match with R.B

R |
S |
||

A | Other Attributes | B | Other Attributes |

1 | 300 | ||

2 | 300 | ||

. | . | ||

. | . | ||

. | . | ||

200 | 300 |

In this case, no value of B in S will match to a value of B in R. So natural join will have 0 tuple.

So the maximum number of tuples will be 100 and min will be 0.

**Note:** If it is explicitly mentioned that S.B is foreign key to R.B, then Case 3 and Case 4 discussed above are not possible because value of S.B will be from the values of R.B. So, minimum and maximum number of tuples in natural join will be 100.

Article contributed by Sonal Tuteja. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above