- PostgreSQL - Distinct Keyword
- PostgreSQL - Having Clause
- PostgreSQL - With Clause
- PostgreSQL - Group By
- PostgreSQL - Order By Clause
- PostgreSQL - Limit Clause
- PostgreSQL - Like Clause
- PostgreSQL - Delete Query
- PostgreSQL - Update Query
- PostgreSQL - AND & OR Clauses
- PostgreSQL - Where Clause
- PostgreSQL - Expressions
- PostgreSQL - Operators
- PostgreSQL - Select Query
- PostgreSQL - Insert Query
- PostgreSQL - Schema
- PostgreSQL - Drop Table
- PostgreSQL - Create Table
- PostgreSQL - Drop Database
- PostgreSQL - Select Database
- PostgreSQL - Create Database
- PostgreSQL - Data Types
- PostgreSQL - Syntax
- PostgreSQL - Environment Setup
- PostgreSQL - Overview
- PostgreSQL - Home
Advanced PostgreSQL
- PostgreSQL - Useful Functions
- PostgreSQL - Functions
- Date/Time Functions & Operators
- PostgreSQL - Privileges
- PostgreSQL - Auto Increment
- PostgreSQL - Sub Queries
- PostgreSQL - Locks
- PostgreSQL - Transactions
- PostgreSQL - Views
- Truncate Table Command
- PostgreSQL - Alter Table Command
- PostgreSQL - Indexes
- PostgreSQL - Triggers
- PostgreSQL - Alias Syntax
- PostgreSQL - NULL Values
- PostgreSQL - Unions Clause
- PostgreSQL - Joins
- PostgreSQL - Constraints
PostgreSQL Interfaces
PostgreSQL Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
PostgreSQL - Expressions
An expression is a combination of one or more values, operators, and PostgresSQL functions that evaluate to a value.
PostgreSQL EXPRESSIONS are pke formulas and they are written in query language. You can also use to query the database for specific set of data.
Syntax
Consider the basic syntax of the SELECT statement as follows −
SELECT column1, column2, columnN FROM table_name WHERE [CONDITION | EXPRESSION];
There are different types of PostgreSQL expressions, which are mentioned below −
PostgreSQL - Boolean Expressions
PostgreSQL Boolean Expressions fetch the data on the basis of matching single value. Following is the syntax −
SELECT column1, column2, columnN FROM table_name WHERE SINGLE VALUE MATCHTING EXPRESSION;
Consider the table
having records as follows −testdb# select * from COMPANY; id | name | age | address | salary ----+-------+-----+-----------+-------- 1 | Paul | 32 | Capfornia| 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)
Here is the simple example showing usage of PostgreSQL Boolean Expressions −
testdb=# SELECT * FROM COMPANY WHERE SALARY = 10000;
The above given PostgreSQL statement will produce the following result −
id | name | age | address | salary ----+-------+-----+----------+-------- 7 | James | 24 | Houston | 10000 (1 row)
PostgreSQL - Numeric Expression
These expressions are used to perform any mathematical operation in any query. Following is the syntax −
SELECT numerical_expression as OPERATION_NAME [FROM table_name WHERE CONDITION] ;
Here numerical_expression is used for mathematical expression or any formula. Following is a simple example showing usage of SQL Numeric Expressions −
testdb=# SELECT (15 + 6) AS ADDITION ;
The above given PostgreSQL statement will produce the following result −
addition ---------- 21 (1 row)
There are several built-in functions pke avg(), sum(), count() to perform what is known as aggregate data calculations against a table or a specific table column.
testdb=# SELECT COUNT(*) AS "RECORDS" FROM COMPANY;
The above given PostgreSQL statement will produce the following result −
RECORDS --------- 7 (1 row)
PostgreSQL - Date Expressions
Date Expressions return the current system date and time values and these expressions are used in various data manipulations.
testdb=# SELECT CURRENT_TIMESTAMP;
The above given PostgreSQL statement will produce the following result −
now ------------------------------- 2013-05-06 14:38:28.078+05:30 (1 row)Advertisements