- SQLite - DISTINCT Keyword
- SQLite - HAVING Clause
- SQLite - GROUP By Clause
- SQLite - ORDER By Clause
- SQLite - LIMIT Clause
- SQLite - GLOB Clause
- SQLite - LIKE Clause
- SQLite - DELETE Query
- SQLite - UPDATE Query
- SQLite - AND & OR Clauses
- SQLite - WHERE Clause
- SQLite - Expressions
- SQLite - Operators
- SQLite - SELECT Query
- SQLite - INSERT Query
- SQLite - DROP Table
- SQLite - CREATE Table
- SQLite - DETACH Database
- SQLite - ATTACH Database
- SQLite - CREATE Database
- SQLite - Data Type
- SQLite - Syntax
- SQLite - Commands
- SQLite - Installation
- SQLite - Overview
- SQLite - Home
Advanced SQLite
- SQLite - Useful Functions
- SQLite - Date & Time
- SQLite - VACUUM
- SQLite - EXPLAIN
- SQLite - Injection
- SQLite - AUTOINCREMENT
- SQLite - Subqueries
- SQLite - Transactions
- SQLite - Views
- SQLite - TRUNCATE Command
- SQLite - ALTER Command
- SQLite - INDEXED By Clause
- SQLite - Indexes
- SQLite - Triggers
- SQLite - ALIAS Syntax
- SQLite - NULL Values
- SQLite - UNIONS Clause
- SQLite - JOINS
- SQLite - Constraints
- SQLite - PRAGMA
SQLite Interfaces
SQLite Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
SQLite - Expressions
An expression is a combination of one or more values, operators, and SQL functions that evaluate to a value.
SQL expressions are pke formulas and they are written in query language. You can also use to query the database for a 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];
Following are the different types of SQLite expressions.
SQLite - Boolean Expressions
SQLite 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 COMPANY table with the following records −
ID NAME AGE ADDRESS SALARY ---------- ---------- ---------- ---------- ---------- 1 Paul 32 Capfornia 20000.0 2 Allen 25 Texas 15000.0 3 Teddy 23 Norway 20000.0 4 Mark 25 Rich-Mond 65000.0 5 David 27 Texas 85000.0 6 Kim 22 South-Hall 45000.0 7 James 24 Houston 10000.0
Following is a simple examples showing the usage of SQLite Boolean Expressions −
sqpte> SELECT * FROM COMPANY WHERE SALARY = 10000; ID NAME AGE ADDRESS SALARY ---------- ---------- ---------- ---------- ---------- 4 James 24 Houston 10000.0
SQLite - 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 the usage of SQLite Numeric Expressions.
sqpte> SELECT (15 + 6) AS ADDITION ADDITION = 21
There are several built-in functions such as avg(), sum(), count(), etc., to perform what is known as aggregate data calculations against a table or a specific table column.
sqpte> SELECT COUNT(*) AS "RECORDS" FROM COMPANY; RECORDS = 7
SQLite - Date Expressions
Date Expressions returns the current system date and time values. These expressions are used in various data manipulations.
sqpte> SELECT CURRENT_TIMESTAMP; CURRENT_TIMESTAMP = 2013-03-17 10:43:35Advertisements