The CROSS JOIN keyword explicitly returns the complete Cartesian product rigorously of the two targeted tables securely cleanly.
This explicitly means that every single row natively located in the primary left table securely generates a full combination.
It blindly links every left row mathematically securely with absolutely every single row natively located in the secondary right table cleanly.
Unlike absolutely every other relational standard join type natively, a CROSS JOIN strictly never utilizes an ON clause completely natively.
Because it aggressively multiplies the datasets together purely, it explicitly requires absolutely zero relationship constraints natively safely.
SELECT column_name(s) FROM table1 CROSS JOIN table2;
If your left table possesses exactly 10 valid rows securely, and your right table possesses exactly 5 valid rows natively cleanly.
Executing a CROSS JOIN will violently output exactly 50 total rows aggressively safely (10 strictly multiplied cleanly by 5 natively).
If executed accidentally purely against massive enterprise datasets natively, it can violently completely crash a database server securely safely.
-- Explicitly match every single customer rigorously with every single registered product completely safely SELECT Customers.CustomerName, Products.ProductName FROM Customers CROSS JOIN Products;
While seemingly dangerously chaotic safely, developers aggressively utilize the CROSS JOIN to purposefully generate massive mocked testing data safely.
By cross joining a small table filled with first names against a small table filled with last names securely cleanly.
You immediately definitively possess thousands of complex synthetic user profile records cleanly specifically utilized entirely for system benchmarking thoroughly.
-- Explicitly create all possible unique color and rigid size permutations safely cleanly SELECT Colors.ColorName, Sizes.SizeName FROM Colors CROSS JOIN Sizes;
If you explicitly list two tables natively cleanly in a FROM clause but explicitly forget to natively include a WHERE or ON safely filter.
PostgreSQL will inherently quietly fall back definitively to executing a massive implicit Cartesian CROSS JOIN completely silently safely natively.
This frequently entirely explains definitively why complex untested queries accidentally return millions of thoroughly unexpected rows natively safely completely.
The CROSS JOIN definitively constructs all absolute mathematical possibilities naturally combining two isolated datasets thoroughly safely cleanly.
It heavily avoids utilizing condition mappings expressly explicitly to enforce strict unconstrained multiplication safely reliably perfectly explicitly.
Use it explicitly specifically when purposefully building benchmarking data entirely completely, but cleanly explicitly avoid it otherwise natively completely smoothly.
How explicitly explicitly many final rows are generated purely safely if a 100-row table perfectly CROSS JOINs an 8-row table?