🗄️ SQL examples

ORDER BY Examples in SQL

Sort query results by one or more columns. This page gives you the syntax, five practical examples, common mistakes, and copy-ready SQL you can adapt.

Updated 2026-06-125 practical examplesCopy-ready SQL

What ORDER BY does

Sort query results by one or more columns. SQL syntax can vary by database, but the pattern below is a useful starting point for reports and analysis.

Syntax or pattern

SELECT * FROM table_name ORDER BY column_name DESC;
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5 practical examples

1

Sort newest orders first

Put recent rows at the top.

SELECT order_id, order_date, total_amount FROM orders ORDER BY order_date DESC;

DESC sorts largest or newest values first.

2

Sort customers alphabetically

Sort by last name and first name.

SELECT customer_id, last_name, first_name FROM customers ORDER BY last_name, first_name;

Multiple sort columns create stable ordering.

3

Sort high-value products

Show highest-priced products first.

SELECT product_name, price FROM products ORDER BY price DESC;

Useful for price audits and product reviews.

4

Sort grouped results

Sort categories by total sales.

SELECT category, SUM(amount) AS sales FROM sales GROUP BY category ORDER BY sales DESC;

You can sort by an aggregate alias in many SQL engines.

5

Sort nulls intentionally

Put missing dates last where supported.

SELECT ticket_id, due_date FROM tickets ORDER BY due_date NULLS LAST;

Some databases support NULLS FIRST or NULLS LAST.

Common mistakes to avoid

  • Forgetting that SQL dialects vary across PostgreSQL, SQL Server, MySQL, BigQuery and SQLite.
  • Using SELECT * in production reports when only a few columns are needed.
  • Not checking join keys, duplicate rows or NULL values before trusting results.

FAQ

Will this SQL work in every database?

The idea is portable, but function names and date syntax may vary. Check your database dialect if a function is not recognized.

Should I use this in a report query?

Yes, if the pattern matches the business question and you have checked filters, joins and row counts.

Why does my result have too many rows?

The most common reasons are duplicate join keys, missing filters or grouping at the wrong level of detail.

💡 Useful resources

Here are some ideas for you

Optional resources that may help if you are learning SQL, building reports, writing queries or improving your data workflow.

  • 📘
    SQL books for beginners

    Practice query patterns with structured examples and exercises.

    See ideas
  • 🧱
    Database design books

    Understand tables, keys, relationships and why joins behave the way they do.

    See ideas
  • ⌨️
    Mechanical keyboards

    Useful if you write queries, code and documentation for long work sessions.

    See ideas
  • 🖥️
    External monitors

    View query editor, result grid and documentation side by side.

    See ideas
  • 📒
    Developer notebooks

    Sketch table relationships, query logic and report ideas before coding.

    See ideas
  • 💡
    Desk lamps

    Keep your workspace comfortable while studying or debugging queries.

    See ideas

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