Why Avoid Comma Joins in SQL?
New SQL developers often use comma joins, a less explicit way to join tables:
SELECT a.someRow, b.someRow FROM tableA AS a, tableB AS b WHERE a.ID=b.ID AND b.ID= $someVar
While functional (equivalent to an INNER JOIN
), this method has potential performance drawbacks.
The Inefficiency of Comma Joins
Consider this example:
SELECT * FROM people p, companies c WHERE p.companyID = c.id AND p.firstName = 'Daniel'
The database might initially create a full Cartesian product (every combination of people
and companies
rows), then filter based on the WHERE
clause. This is significantly less efficient than alternative methods.
The Superiority of Keyword-Based Joins
Using explicit JOIN
keywords and the ON
clause offers a more efficient and readable approach:
SELECT * FROM people p JOIN companies c ON p.companyID = c.id WHERE p.firstName = 'Daniel'
This clearly indicates the join condition to the database, optimizing the join process and avoiding the unnecessary creation of a large intermediate Cartesian product. This leads to faster query execution and reduced resource consumption, especially with large datasets.
Best Practice: Always Use JOIN Keywords
For better performance, readability, and maintainability, always prefer JOIN
keywords (INNER JOIN
, LEFT JOIN
, RIGHT JOIN
, etc.) over comma joins. While existing comma joins might not immediately need rewriting, adopting this best practice consistently improves your SQL code.
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