Does Column Order Matter In Sql

SQL Programming

As a SQL enthusiast, I have often found myself pondering over the question of whether column order truly matters in SQL. After diving deep into the topic, I can confidently say that the answer is both yes and no. Let’s explore this further.

Understanding the Basics of SQL Column Order

In SQL, a table consists of columns that define the structure and characteristics of the data stored within it. Each column has a specific data type, such as INTEGER, VARCHAR, or DATE, and serves a particular purpose in organizing and retrieving data. The order in which the columns are defined in a SQL statement may not seem like a significant factor, but it can have implications in certain scenarios.

When creating a table, the column order determines the default display order of the columns when querying the data. This default order can be overridden by explicitly specifying the desired column order in the SELECT statement. However, it is important to note that column order does not affect the way data is stored internally or impact the performance of queries.

Column Order and SELECT Statements

In most cases, the column order does not matter when writing SELECT statements. SQL is designed to be a declarative language, meaning that you specify what you want to retrieve, not how to retrieve it. Therefore, you can choose to display the columns in any order you prefer without affecting the results of the query.

For example, consider a table with columns A, B, and C. If you write a SELECT statement like “SELECT A, B, C FROM my_table,” the columns will be displayed in the order specified. However, if you write “SELECT C, B, A FROM my_table,” the columns will be displayed in that order instead. The query will retrieve the same data regardless of the column order specified in the statement.

Exceptions to the Rule

While column order generally does not matter, there are a few exceptions to be aware of. One such exception is when using the SELECT INTO statement to create a new table based on the results of a query. In this case, the column order in the new table will match the order of the columns in the SELECT statement.

Another scenario where column order can make a difference is when dealing with queries that involve joins or unions. When combining data from multiple tables or queries, it is essential to match the column order in order to correctly associate the corresponding data.


In conclusion, while column order does not have a significant impact in most SQL scenarios, there are instances where it can make a difference. Understanding when and how column order matters can help you write more efficient and maintainable queries. Whether you prefer to follow conventions or prioritize readability, remember that SQL is a powerful language that allows flexibility in organizing and retrieving data.