How to use variable in SQL query?

MySQL, SQL Server, Oracle, PostgreSQL

How to use variable in SQL query?

In SQL, variables are used to store data that can be used and manipulated throughout a program. They are essential for dynamic SQL queries, where the values of the variables can be determined at runtime.

The syntax for declaring and using variables is different in different SQL databases.

Here are some examples:

MySQL variable in SQL query

In MySQL, you can declare a variable using the SET or SELECT statement.

Example of MySQL variable

SQL Server variable in SQL query

In SQL Server, you can declare a variable using the DECLARE statement and set its value using the SET statement.

SQL server leverage the DECLARE/SET statement rather than SET/SELECT


Oracle variable in SQL query

In Oracle, you can declare a variable in a PL/SQL block.

Oracle's leveraging a PL/SQL block.


PostgreSQL variable in SQL query

In PostgreSQL, you can use variables in functions, and the syntax is similar to Oracle's PL/SQL.

With PostgreSQL you can use functions

In all cases, once a variable is declared and assigned a value, it can be used in a query like this:

or

Remember to check the documentation of the SQL database you are using for the exact syntax and usage of variables.

Conclusion

Navigating through the intricacies of SQL variables across different databases can be challenging. With CastorDoc, you gain access to an intuitive platform that simplifies managing, querying, and analyzing your data across any SQL database. Whether you're working with MySQL, SQL Server, Oracle, or PostgreSQL, our SQL Assistant can help you write and optimize your SQL queries faster.

New Release
Share

Get in Touch to Learn More

See Why Users Love CastorDoc
Fantastic tool for data discovery and documentation

“[I like] The easy to use interface and the speed of finding the relevant assets that you're looking for in your database. I also really enjoy the score given to each table, [which] lets you prioritize the results of your queries by how often certain data is used.” - Michal P., Head of Data