
- PostgreSQL - Home
- PostgreSQL - Overview
- PostgreSQL - Environment Setup
- PostgreSQL - Syntax
- PostgreSQL - Data Types
- PostgreSQL - Operators
- PostgreSQL - Expressions
- PostgreSQL Database
- PostgreSQL - Create Database
- PostgreSQL - ALTER DATABASE
- PostgreSQL - Drop Database
- PostgreSQL - Loading Database
- PostgreSQL - Rename Database
- PostgreSQL - Select Database
- PostgreSQL - Show Database
- PostgreSQL Query Operations
- PostgreSQL - SELECT
- PostgreSQL - CREATE
- PostgreSQL - INSERT
- PostgreSQL - UPDATE
- PostgreSQL - DELETE
- PostgreSQL - ALTER TABLE Command
- PostgreSQL - WHERE Clause
- PostgreSQL - ORDER BY Clause
- PostgreSQL - GROUP BY
- PostgreSQL - HAVING Clause
- PostgreSQL - DISTINCT Keyword
- PostgreSQL - LIMIT Clause
- PostgreSQL - LIKE Clause
- PostgreSQL - WITH Clause
- PostgreSQL - AND & OR Clauses
- PostgreSQL - DROP TABLE
- PostgreSQL - Upsert
- TRUNCATE TABLE Command
- PostgreSQL JOINS & Schemas
- PostgreSQL Schemas
- PostgreSQL Joins
- PostgreSQL Data Integrity & Transaction
- PostgreSQL - Constraints
- PostgreSQL - Transactions
- PostgreSQL - Commit
- PostgreSQL - Rollback
- PostgreSQL - Views
- PostgreSQL Functions
- PostgreSQL - ALIAS Syntax
- PostgreSQL - Functions
- PostgreSQL - Useful Function
- PostgreSQL - MAX() Function
- PostgreSQL - MIN() Function
- PostgreSQL - SUM() Function
- PostgreSQL - COUNT() Function
- PostgreSQL - Array Function
- PostgreSQL - String Function
- PostgreSQL - Numeric Function
- PostgreSQL Operators
- PostgreSQL - UNION Operator
- PostgreSQL - INTERSECT Operator
- PostgreSQL - EXCEPT Operator
- PostgreSQL - ANY Operator
- PostgreSQL - ALL Operator
- PostgreSQL - EXISTS Operator
- PostgreSQL Interface
- PostgreSQL - C / C++
- PostgreSQL - Java
- PostgreSQL - PHP
- PostgreSQL - Perl
- PostgreSQL - Python
- Advanced PostgreSQL
- PostgreSQL - NULL Values
- PostgreSQL - Triggers
- PostgreSQL - Indexes
- PostgreSQL - Locks
- PostgreSQL - Sub Queries
- PostgreSQL - Auto Increment
- PostgreSQL - Privileges
- PostgreSQL - Date/Time Functions & Operators
- PostgreSQL - Errors & Messages
- PostgreSQL - Assert
PostgreSQL - AND and OR Operators
The PostgreSQL AND and OR operators are used to combine multiple conditions to narrow down selected data in a PostgreSQL statement. The AND operator is called logical conjunction/conjunctive operator, while OR operator is known as logical disjunction.
These operators provide a means to make multiple comparisons with different operators in the same PostgreSQL statement.
The AND Operator
The AND operator allows the existence of multiple conditions in a PostgreSQL statement's WHERE clause. While using AND operator, complete condition will be assumed true when all the conditions are true. For example [condition1] AND [condition2] will be true only when both condition1 and condition2 are true.
Syntax
The basic syntax of AND operator with WHERE clause is as follows −
SELECT column1, column2, columnN FROM table_name WHERE [condition1] AND [condition2]...AND [conditionN];
You can combine N number of conditions using AND operator. For an action to be taken by the PostgreSQL statement, whether it be a transaction or query, all conditions separated by the AND must be TRUE.
Example
Consider the table COMPANY having records as follows −
id | name | age | address | salary |
---|---|---|---|---|
1 | Paul | 32 | California | 20000 |
2 | Allen | 25 | Texas | 15000 |
3 | Teddy | 23 | Norway | 20000 |
4 | Mark | 25 | Rich-Mond | 65000 |
5 | David | 27 | Texas | 85000 |
6 | Kim | 22 | South-Hall | 45000 |
7 | James | 24 | Houston | 10000 |
(7 rows) |
Below is the query to get the table records −
testdb# select * from COMPANY;
Now, SELECT statement lists down all the records where AGE is greater than or equal to 25 AND salary is greater than or equal to 65000.00 −
testdb=# SELECT * FROM COMPANY WHERE AGE >= 25 AND SALARY >= 65000;
The above given PostgreSQL statement will produce the following result −
id | name | age | address | salary |
---|---|---|---|---|
4 | Mark | 25 | Rich-Mond | 65000 |
5 | David | 27 | Texas | 85000 |
(2 rows) |
The OR Operator
The OR operator is also used to combine multiple conditions in a PostgreSQL statement's WHERE clause. While using OR operator, complete condition will be assumed true when at least any of the conditions is true. For example [condition1] OR [condition2] will be true if either condition1 or condition2 is true.
Syntax
The basic syntax of OR operator with WHERE clause is as follows −
SELECT column1, column2, columnN FROM table_name WHERE [condition1] OR [condition2]...OR [conditionN]
You can combine N number of conditions using OR operator. For an action to be taken by the PostgreSQL statement, whether it be a transaction or query, only any ONE of the conditions separated by the OR must be TRUE.
Example
Consider the COMPANY table, having the following records −
select * from COMPANY;
id | name | age | address | salary |
---|---|---|---|---|
1 | Paul | 32 | California | 20000 |
2 | Allen | 25 | Texas | 15000 |
3 | Teddy | 23 | Norway | 20000 |
4 | Mark | 25 | Rich-Mond | 65000 |
5 | David | 27 | Texas | 85000 |
6 | Kim | 22 | South-Hall | 45000 |
7 | James | 24 | Houston | 10000 |
(7 rows) |
The following SELECT statement lists down all the records where AGE is greater than or equal to 25 OR salary is greater than or equal to 65000.00 −
testdb=# SELECT * FROM COMPANY WHERE AGE >= 25 OR SALARY >= 65000;
The above given PostgreSQL statement will produce the following result −
id | name | age | address | salary |
---|---|---|---|---|
1 | Paul | 32 | California | 20000 |
2 | Allen | 25 | Texas | 15000 |
4 | Mark | 25 | Rich-Mond | 65000 |
5 | David | 27 | Texas | 85000 |
(4 rows) |