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Mastering SQL Operators: A Comprehensive Guide

Introduction

SQL (Structured Query Language) operators are the building blocks of database querying. They allow you to perform various operations on data stored within a database. In this comprehensive guide, we will explore every type of SQL operator in detail, providing clear explanations and practical examples to help you become proficient in their usage.


Arithmetic Operators

Arithmetic operators in SQL are used for performing mathematical calculations within queries. They include addition (+), subtraction (-), multiplication (*), division (/), and modulus (%).


Addition (+):

This operator is used to add two or more values together.

SQL Addition Operator

Subtraction (-):

Subtracts one value from another.

SQL Subtraction Operator

Multiplication (*):

Multiplies two or more values.

SQL Multiplication Operators

Division (/):

Divides one value by another.

SQL Division Operators

Modulus (%):

Returns the remainder when one value is divided by another.

SQL Modulus Operator

Comparison Operators

Comparison operators are used to compare values in SQL queries. They include '=', '<>', '<', '>', '<=', and '>='.


Equal to (=):

Checks if two values are equal.

SQL Equal To Operator

Not Equal to (<>):

Checks if two values are not equal.

SQL Not Equal To Operator

Less Than (<):

Checks if one value is less than another.

SQL Less Than Operator

Greater Than (>):

Checks if one value is greater than another.

SQL Greater Than Oprator

Less Than or Equal to (<=):

Checks if one value is less than or equal to another.

SQL Less Than or Equal to Operator

Greater Than or Equal to (>=):

Checks if one value is greater than or equal to another.

SQL Greater Than or Equal to Operator

Logical Operators

Logical operators in SQL are used to combine or modify the results of comparison operators. Part 1 includes 'AND', 'OR', and 'NOT'.


AND:

Returns true if both conditions are true.

SQL AND Operator

OR:

Returns true if at least one condition is true.

SQL OR Operator

NOT:

Returns true if the condition is false and vice versa.

SQL NOT Operator

Logical operators Part 2 includes 'BETWEEN', 'IN', 'LIKE', and 'IS NULL'.


BETWEEN:

Checks if a value falls within a specified range.

SQL BETWEEN Operator

IN:

Checks if a value exists within a specified set of values.

SQL IN Operator

LIKE:

Searches for a specified pattern in a column.

SQL LIKE Operator

IS NULL:

Checks if a value is NULL (empty).

SQL IS NULL Operator

Bitwise Operators

Bitwise operators are used to perform bitwise operations on binary values. They include '&', '|', '^', '~', and '<<'/'>>'.


Bitwise AND (&):

Performs a bitwise AND operation.

SQL Bitwise AND Operator

Bitwise OR (|):

Performs a bitwise OR operation.

SQL Bitwise OR Operator

Bitwise XOR (^):

Performs a bitwise XOR (exclusive OR) operation.

SQL Bitwise XOR Operator

Bitwise NOT (~):

Inverts the bits of a binary value.

SQL Bitwise NOT Operator

Bitwise Shift (<< / >>):

Shifts bits to the left (<<) or right (>>) by a specified number of positions.

SQL Bitwise Shift Operator

Assignment Operators

Assignment operators in SQL are used to assign values to variables within queries. They include '=' and ':='.


Assignment (=):

Assigns a value to a variable.

SQL Assignment Operator

Membership Operators

Membership operators are used to check if a value exists within a specified set of values. They include 'IN' and 'NOT IN'.


IN:

Checks if a value exists within a specified set of values.

SQL Membership IN Operator

SQL Operator Precedence

Operator precedence determines the order in which operators are evaluated within a query. Understanding operator precedence is crucial for writing accurate queries.


Conclusion

In conclusion, SQL operators are essential tools for working with databases. This comprehensive guide has covered every type of SQL operator, providing clear explanations and practical examples. By mastering these operators, you'll have the skills needed to write complex and efficient SQL queries for your data manipulation needs. Whether you're a beginner or an experienced database professional, this knowledge is invaluable in your SQL journey. Happy querying!

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