DbVisualizer
MySQL
SQL

SQL Operators: A Complete Walkthrough

intro

What are SQL operators and how best to work with them? Find out in this blog!

Tools used in the tutorial
Tool Description Link
Dbvisualizer DBVISUALIZER
TOP RATED DATABASE MANAGEMENT TOOL AND SQL CLIENT
mariadb MARIADB
THE MARIADB DATABASE

Developers working with applications often issue SQL queries to be processed by their database. Those SQL queries are then processed and a result is returned. Do you know what all of them have in common? SQL operators!

What Are SQL Operators?

SQL operators are the components of SQL queries that help us form our queries — they can be arithmetic, used for comparisons (comparison operators), logical operators, compound operators (mixed operators), string operators on string values, or bitwise operators (characters that represent parts of an SQL query.)

Whatever they are, they’re small parts of our SQL queries. Their goal is to impact how our SQL queries work, execute, and what results they return.

To properly understand SQL operators, take any SQL query and split it into parts. We’ll do that now.

Let’s take an SQL query like so:

Copy
        
1 SELECT username, country, (SELECT car_brand FROM car_data WHERE car_data.id = demo_data.id) AS car_brand 2 FROM demo_data;

Provided to an SQL editor, this SQL query returns these results:

Running an SQL query inside DbVisualizer
Running an SQL query inside DbVisualizer

Taken part by part, we can see that this SQL query:

  1. Selects two columns (SELECT username, country)
  2. Has an SQL subquery inside of it (SELECT car_brand FROM car_data WHERE car_data.id = demo_data.id)
  3. Doesn’t limit the number of rows returned (that’s done internally by DbVisualizer.)

Each of these steps has its own remits and impact on the database — add a couple of comparison operations like WHERE car_id BETWEEN 6 AND 17 and you will have a query with a SQL operator that has to be inserted, interpreted, and worked on by your database.

List of SQL Operators

As we’ve already told you, there are six main types of SQL operators:

  1. Arithmetic SQL operators — these are operators that perform mathematical functions such as addition (+), subtraction (-), division (/), multiplication (*), etc.
  2. Comparison SQL operators — these are operators that compare numbers and/or strings. Such operators include the < (less than sign), > (more than sign), and other signs.
  3. Logical SQL operators — these are operators that connect two or more SQL expressions together, such as OR, AND, etc.
  4. Compound or mixed SQL operators — these are operators that are used to execute a query and are used to modify the result. These operators include operators like the “add assignment” operator (+=), “subtract assignment” operator (-=), multiplication assignment (*=), and other operators. These operators are frequently used in the T-SQL language and some examples are available in the SQL Server T-SQL documentation.
  5. String operators — these are operators based on text (string) values like “apple” + “pear” (results in “applepear”), “work” ≤ “word” (words can have comparison operators too), and the like. See the documentation for more examples.
  6. Bitwise operators — bitwise operators include characters that can replace bits and pieces of an SQL query. Such operators include but are not limited to:
    1. The character & which is a bitwise AND operator.
  7. The character | which is a bitwise OR operator.
  8. The character ^ which is a bitwise XOR operator.
  9. The character ~ which is a bitwise NOT operator.
  10. Characters << (left shift) or >> (right shift.)

Each one of the above SQL operators has its specific remit — and all of them combined create a powerful team of helpers for your use case. Such operators are often used together with certain types of indexes that are used to build more “exotic” kinds of queries (e.g. FULLTEXT queries in MariaDB), and to perform corresponding operations on data with SQL queries.

Some use cases of operators may necessitate certain indexes or options to be in place: many of them, however, can be used in a “vanilla” fashion. For example, the SQL BETWEEN operator can be used within an SQL query like so:

Copy
        
1 SELECT 2 `id`,`country`,`country_code`,`username`,`gender`,`ip_address` 3 FROM `demo_data` 4 WHERE `id` BETWEEN 876 AND 890;
The BETWEEN SQL operator in action in DbVisualizer
The BETWEEN SQL operator in action in DbVisualizer

Many other SQL operators will help you in similar situations — turn to the documentation of your database management system of choice for more information.

Summary

The term “SQL operators” refers to six types of characters that can be used for arithmetic, comparison, string, logical, bitwise, or mixed operations involving your data. Each operator has its own goal and we hope that this blog has helped you understand them in detail.

FAQ

What are SQL operators?

SQL operators are characters that are used to interact with data mathematically or to complete a very specific task (i.e. lessen the importance of a result with the tilde (~) character, etc).

Do SQL operators make SQL queries execute faster or slower?

While SQL operators can have an impact on query execution time (i.e. they’d be considered a separate task by your database), the usage of SQL operators alone is unlikely to have a significant downside or upside to your query performance.

Where can I learn more about databases?

To learn more about your database management system of choice, refer to the documentation of your DBMS. Also, attend conferences and workshops to learn from industry experts, read blogs, and read books like Hacking MySQL for MySQL engineers, and others for experts of other database management systems.

Dbvis download link img
About the author
LukasVileikisPhoto
Lukas Vileikis
Lukas Vileikis is an ethical hacker and a frequent conference speaker. He runs one of the biggest & fastest data breach search engines in the world - BreachDirectory.com, frequently speaks at conferences and blogs in multiple places including his blog over at lukasvileikis.com.
The Table Icon
Sign up to receive The Table's roundup
More from the table
Title Author Tags Length Published
title

MySQL NOW Function: Get the Current Date and Time

author Antonello Zanini tags DATETIME MySQL 5 min 2025-02-27
title

A Complete Guide to the MySQL CTE Mechanism

author Antonello Zanini tags MySQL 10 min 2025-02-26
title

How to Truncate Many Tables In SQL at Once

author Antonello Zanini tags MySQL ORACLE POSTGRESQL SQL SQL SERVER 6 min 2025-02-24
title

Clustered vs Non-Clustered Index: Complete SQL Guide

author Antonello Zanini tags MySQL ORACLE POSTGRESQL SQL SQL SERVER 8 min 2025-02-13
title

Queries and Subqueries in SQL: The Definitive Guide

author Lukas Vileikis tags DbVisualizer MySQL POSTGRESQL SQL SQL SERVER 7 min 2025-02-12
title

How to Optimize a Clustered Index Scan in SQL

author Antonello Zanini tags MySQL SQL SQL SERVER 7 min 2025-02-11
title

SQL Derived Table: Everything You Need to Know

author Antonello Zanini tags MySQL POSTGRESQL SQL SQL SERVER 9 min 2025-02-06
title

Understanding MVCC in MySQL

author Lukas Vileikis tags DbVisualizer MySQL SQL 7 min 2025-02-05
title

MySQL UPDATE JOIN Queries: A Complete Guide

author Antonello Zanini tags MySQL 8 min 2025-02-04
title

Postgres Create Array of Numbers: Complete Guide

author Lukas Vileikis tags POSTGRESQL SQL 7 min 2025-02-03

The content provided on dbvis.com/thetable, including but not limited to code and examples, is intended for educational and informational purposes only. We do not make any warranties or representations of any kind. Read more here.