![6
• For better understanding, the following table to perform various operations.
• Example[Use equal to]:
SELECT * FROM Students
WHERE Age = 20;
• Output:
2. Comparison Operators : Example
StudentID FirstName LastName Age
1 Atul Mishra 23
2 Priya Kapoor 21
3 Rohan Singhania 21
4 Akanksha Jain 20
5 Vaibhav Gupta 25
StudentID FirstName LastName Age
4 Akanksha Jain 20](https://image.slidesharecdn.com/0102postgresqlmathematicaloperators-250806070333-8237e68b/85/PostgreSQL-PostgreSQL-is-a-versatile-open-source-object-relational-database-system-Mathematical-Operators-pptx-6-320.jpg)
![3. Logical Operators : Examples
8
SELECT * FROM Students WHERE Age > ANY (SELECT Age FROM Students WHERE Age > 21);
StudentID FirstName LastName Age
1 Atul Mishra 23
5 Vaibhav Gupta 25
Example[ANY]
Output:](https://image.slidesharecdn.com/0102postgresqlmathematicaloperators-250806070333-8237e68b/85/PostgreSQL-PostgreSQL-is-a-versatile-open-source-object-relational-database-system-Mathematical-Operators-pptx-8-320.jpg)
![9
3. Logical Operators : Examples
SELECT * FROM Students WHERE Age BETWEEN 22 AND 25;
StudentID FirstName LastName Age
1 Atul Mishra 23
Example[BETWEEN & AND]
Output:](https://image.slidesharecdn.com/0102postgresqlmathematicaloperators-250806070333-8237e68b/85/PostgreSQL-PostgreSQL-is-a-versatile-open-source-object-relational-database-system-Mathematical-Operators-pptx-9-320.jpg)
![10
3. Logical Operators : Examples
SELECT * FROM Students WHERE Age IN('23', '20');
StudentID FirstName LastName Age
1 Atul Mishra 23
4 Akanksha Jain 20
Example[IN]
Output:](https://image.slidesharecdn.com/0102postgresqlmathematicaloperators-250806070333-8237e68b/85/PostgreSQL-PostgreSQL-is-a-versatile-open-source-object-relational-database-system-Mathematical-Operators-pptx-10-320.jpg)
![11
• When you query data from a table, PostgreSQL returns the rows in an unspecified order.
• To sort the result set, you use the ORDER BY clause in the SELECT statement.
• The ORDER BY clause allows you to sort rows returned from a SELECT statement in
ascending or descending order based on the specified criteria.
• The following illustrates the syntax of the ORDER BY clause:
4. ORDER BY clause
SELECT
column_1,
column_2
FROM
table_name
ORDER BY
column_1 [ASC | DESC],
column_2 [ASC | DESC];](https://image.slidesharecdn.com/0102postgresqlmathematicaloperators-250806070333-8237e68b/85/PostgreSQL-PostgreSQL-is-a-versatile-open-source-object-relational-database-system-Mathematical-Operators-pptx-11-320.jpg)
PostgreSQL (PostgreSQL is a versatile, open-source object-relational database system) Mathematical Operators.pptx
- 2. 2 • SQL operators are reserved keywords used in the WHERE clause of a SQL statement to perform arithmetic, logical and comparison operations. • Operators act as conjunctions in SQL statements to fulfill multiple conditions in a statement. What are SQL operators?
- 3. 3 • While handling data in databases, we often tend to perform different kinds of operations to manipulate and retrieve data. • SQL being the base of database management systems, offers various operators to perform such operations. • The various operators used in SQL, in the following sequence: • Types of Operators: 1) Arithmetic Operators 2) Comparison Operators 3) Logical Operators What are SQL Operators and how do they work?
- 4. 4 • These operators are used to perform operations such as addition, multiplication, subtraction etc. Example: • SELECT 40 + 20; • SELECT 40 - 20; • SELECT 40 * 20; • SELECT 40 / 20; • SELECT 40 % 20; 1. Arithmetic Operators Operator Operation Description + Addition Add values on either side of the operator – Subtraction Used to subtract the right hand side value from the left hand side value * Multiplication Multiples the values present on each side of the operator / Division Divides the left hand side value by the right hand side value % Modulus Divides the left hand side value by the right hand side value; and returns the remainder
- 5. 5 • These operators are used to perform operations such as equal to, greater than, less than etc. 2. Comparison Operators Operator Operation Description = Equal to Used to check if the values of both operands are equal or not. If they are equal, then it returns TRUE. > Greater than Returns TRUE if the value of left operand is greater than the right operand. < Less than Checks whether the value of left operand is less than the right operand, if yes returns TRUE. >= Greater than or equal to Used to check if the left operand is greater than or equal to the right operand, and returns TRUE, if the condition is true. <= Less than or equal to Returns TRUE if the left operand is less than or equal to the right operand. <> or != Not equal to Used to check if values of operands are equal or not. If they are not equal then, it returns TRUE. !> Not greater than Checks whether the left operand is not greater than the right operand, if yes then returns TRUE. !< Not less than Returns TRUE, if the left operand is not less than the right operand.
- 6. 6 • For better understanding, the following table to perform various operations. • Example[Use equal to]: SELECT * FROM Students WHERE Age = 20; • Output: 2. Comparison Operators : Example StudentID FirstName LastName Age 1 Atul Mishra 23 2 Priya Kapoor 21 3 Rohan Singhania 21 4 Akanksha Jain 20 5 Vaibhav Gupta 25 StudentID FirstName LastName Age 4 Akanksha Jain 20
- 7. 7 • The logical operators are used to perform operations such as ALL, ANY, NOT, BETWEEN etc. 3. Logical Operators Operator Description ALL Used to compare a specific value to all other values in a set ANY Compares a specific value to any of the values present in a set. IN Used to compare a specific value to the literal values mentioned. BETWEEN Searches for values within the range mentioned. AND Allows the user to mention multiple conditions in a WHERE clause. OR Combines multiple conditions in a WHERE clause. NOT A negate operators, used to reverse the output of the logical operator. EXISTS Used to search for the row’s presence in the table. LIKE Compares a pattern using wildcard operators. SOME Similar to the ANY operator, and is used compares a specific value to some of the values present in a set.
- 8. 3. Logical Operators : Examples 8 SELECT * FROM Students WHERE Age > ANY (SELECT Age FROM Students WHERE Age > 21); StudentID FirstName LastName Age 1 Atul Mishra 23 5 Vaibhav Gupta 25 Example[ANY] Output:
- 9. 9 3. Logical Operators : Examples SELECT * FROM Students WHERE Age BETWEEN 22 AND 25; StudentID FirstName LastName Age 1 Atul Mishra 23 Example[BETWEEN & AND] Output:
- 10. 10 3. Logical Operators : Examples SELECT * FROM Students WHERE Age IN('23', '20'); StudentID FirstName LastName Age 1 Atul Mishra 23 4 Akanksha Jain 20 Example[IN] Output:
- 11. 11 • When you query data from a table, PostgreSQL returns the rows in an unspecified order. • To sort the result set, you use the ORDER BY clause in the SELECT statement. • The ORDER BY clause allows you to sort rows returned from a SELECT statement in ascending or descending order based on the specified criteria. • The following illustrates the syntax of the ORDER BY clause: 4. ORDER BY clause SELECT column_1, column_2 FROM table_name ORDER BY column_1 [ASC | DESC], column_2 [ASC | DESC];
- 12. 12 • In this syntax: • First, specify a column or an expression that you want to sort in the ORDER BY clause. • If you sort the result set based on multiple columns or expressions, you use a comma to separate two columns or expressions. • Second, use ASC to sort the result set in ascending order and DESCto sort the result set in descending order. • If skip the ASC or DESC option, the ORDER BY uses ASC by default. • Example : SELECT * FROM COMPANY ORDER BY AGE ASC; 4. ORDER BY clause