SQLite Expression
An expression is a combination of one or more values, operators, and SQL functions that evaluate to a value.
SQL expressions are similar to formulas and are written in query languages. You can also use specific datasets to query the database.
Syntax
Assuming the basic syntax of a SELECT statement is as follows:
SELECT column1, column2, columnN
FROM table_name
WHERE [CONDITION | EXPRESSION];
There are different types of SQLite expressions, explained as follows:
SQLite - Boolean Expression
SQLite's Boolean expression fetches data based on matching a single value. The syntax is as follows:
SELECT column1, column2, columnN
FROM table_name
WHERE SINGLE VALUE MATCHING EXPRESSION;
Suppose the COMPANY table has the following records:
ID NAME AGE ADDRESS SALARY
---------- ---------- ---------- ---------- ----------
1 Paul 32 California 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
The following example demonstrates the usage of SQLite Boolean expressions:
sqlite> 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 operations in the query. The syntax is as follows:
SELECT numerical_expression as OPERATION_NAME
[FROM table_name WHERE CONDITION] ;
Here, numerical_expression is used for mathematical expressions or any formula. The following example demonstrates the usage of SQLite numeric expressions:
sqlite> SELECT (15 + 6) AS ADDITION
ADDITION = 21
There are several built-in functions like avg(), sum(), count(), etc., that perform aggregate data calculations on a table or a specific table column.
sqlite> SELECT COUNT(*) AS "RECORDS" FROM COMPANY;
RECORDS = 7
SQLite - Date Expression
Date expressions return the current system date and time values, which are used for various data manipulations.
sqlite> SELECT CURRENT_TIMESTAMP;
CURRENT_TIMESTAMP = 2013-03-17 10:43:35