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What is the difference between GROUP BY and ORDER BY in SQL?

sql
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Nikita BarsukovbyNikita Barsukov·Dec 18, 2024
TLDR

In SQL, GROUP BY clumps together rows that share the same value in specified columns into a single row, primarily for data aggregation. Conversely, ORDER BY adjusts the sequence in which the result set is displayed, detailing it by certain columns.

Using GROUP BY, you can condense your data:

-- Who said data can't lift? The gym's this way. SELECT column, AGG_FUNC(column2) FROM table GROUP BY column;

With ORDER BY, you can better organize your results:

-- Avoid the chaos. Sort things out. SELECT column FROM table ORDER BY column;

Here's the crux: GROUP BY is used in conjunction with aggregate functions (SUM(), COUNT(), AVG()) to execute computations over grouped rows. But ORDER BY, it sorts your data, which aesthetically alters data presentation without modifying data. Increasing (ASC) or decreasing (DESC) order, your pick. And remember, ORDER BY doesn't group, only orders.

To filter your groups post GROUP BY, use the HAVING clause, the WHERE for groups. If you've used GROUP BY, but the aggregation needs refinement, simply invoke HAVING.

Finally, to neatly handle duplicates, adopt GROUP BY; it merges all rows with exact values into a single row in the group column. Understanding when to GROUP BY or ORDER BY will significantly boost your data wrangling and analytical skills.

Detailed break-down

Dealing with Duplicates Vs. Sorting

DON'T confuse the fight against data duplication with sorting— they're different battles. In this arena, GROUP BY is the knight that eliminates duplicates. Against a dataset where repetition is rampant, opt for:

-- Knock knock. Who's there? Category. Again? SELECT category FROM items; -- Poof! All duplicate categories Dobbed away. SELECT category FROM items GROUP BY category;

Examples in Action

Dive into examples that combine both ORDER BY and GROUP BY. We'll summarize and sort in a single query, showing you how to wield both swords:

-- Where summarized data meets sorted presentation. SELECT category, SUM(price) AS total_price FROM items GROUP BY category ORDER BY total_price DESC;

Here, we're summarizing and then sorting data—first by price and then by category, both in descending order (highest first).

The Omnipresence in SQL

The takeaway here? GROUP BY and ORDER BY transcend SQL. They're found across different DBMS (MySQL, PostgreSQL, SQL Server etc.), with few tweaks and peculiarities. So, mastering them opens how many doors?

Dictionary of your Database

Often, your database design will point you to whether to group or order. With a well-normalized database, you'd see GROUP BY being used more frequently to synthesize data from different related tables. Here's a typical example:

-- Dissection in progress. Don't disturb. SELECT author_id, COUNT(book_id) FROM books INNER JOIN authors ON books.author_id = authors.id GROUP BY author_id;

Fine-grained data organization

GROUP BY: Handling Advanced Scenarios

Complex queries involving multiple columns or sub-queries bring out the true power of GROUP BY:

-- GROUP BY multiple columns: Double trouble or twice as nice? You decide. SELECT customer_id, category, SUM(price) FROM purchases GROUP BY customer_id, category; -- GROUP BY with sub-query: Now, that's a wrap! SELECT a.category, AVG(b.price) FROM (SELECT * FROM purchases WHERE date > '2023-01-01') AS b GROUP BY a.category;

Expect to see more instances of GROUP BY mingling with other SQL features.

ORDER BY: Presentation Matters

Finally, the unsung hero of data presentation: ORDER BY. It's a finishing touch, offering readability that's often a must for reports:

-- The balancing act of data presentation. SELECT customer_id, purchase_date, total_price FROM orders ORDER BY purchase_date DESC, total_price ASC;