MySQL CROSS JOIN Explained
A CROSS JOIN in MySQL creates a combination of all rows from two tables. This is called a Cartesian product. If one table has n
rows and another has m
rows, the result will have n × m
rows.
CROSS JOIN Syntax
sql
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SELECT select_list
FROM table1
CROSS JOIN table2;
This generates every possible pairing of rows from table1
and table2
. Note: Unlike other joins like INNER JOIN
or LEFT JOIN
, the CROSS JOIN does not use an ON
condition.
Practical Example Using Products
and Stores
Create the Tables
sql
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CREATE TABLE products (
product_id INT,
product_name VARCHAR(100)
);
CREATE TABLE stores (
store_id INT,
store_name VARCHAR(100)
);
Insert Data into the Tables
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INSERT INTO products (product_id, product_name) VALUES
(1, 'iPhone'),
(2, 'iPad'),
(3, 'Macbook Pro');
INSERT INTO stores (store_id, store_name) VALUES
(1, 'North Store'),
(2, 'South Store');
Perform a CROSS JOIN
To combine all products with all stores:
sql
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SELECT
product_name,
store_name
FROM
products
CROSS JOIN
stores;
Output:
product_name | store_name |
iPhone | North Store |
iPhone | South Store |
iPad | North Store |
iPad | South Store |
Macbook Pro | North Store |
Macbook Pro | South Store |
Here, every product is paired with every store, creating a total of 3 × 2 = 6
rows.
Example with Additional Filtering
If you want to make the CROSS JOIN behave like an INNER JOIN
, you can add a WHERE
clause. For example:
sql
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SELECT
product_name,
store_name
FROM
products
CROSS JOIN
stores
WHERE
store_id = product_id;
This filters the rows where store_id
matches product_id
.
Use Case: Find Unsold Products
You can use a CROSS JOIN to determine which products were not sold in any store.
Combine Stores and Products
sql
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SELECT
store_name,
product_name
FROM
stores
CROSS JOIN
products;
Check Sales Data
To include sales data and find unsold products, use a LEFT JOIN with the CROSS JOIN
:
sql
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SELECT
p.product_name,
s.store_name,
IFNULL(SUM(sales.quantity), 0) AS quantity_sold
FROM
products p
CROSS JOIN
stores s
LEFT JOIN
sales
ON
p.product_id = sales.product_id
AND s.store_id = sales.store_id
GROUP BY
p.product_name,
s.store_name;
This query ensures even unsold products are displayed, with their quantities set to 0
.
Summary of CROSS JOIN
- CROSS JOIN creates a Cartesian product of two tables.
- Use it when you need all possible combinations of rows.
- Add a
WHERE
clause to filter results or mimicINNER JOIN
. - Combine with
LEFT JOIN
to solve advanced queries like identifying unsold items or unused combinations.
You said:
I have still not under stand the purpose of cross join
ChatGPT said:
ChatGPT
Let me explain CROSS JOIN in a simpler way with examples to help you understand its purpose and use.
What is the Purpose of a CROSS JOIN?
A CROSS JOIN combines every row from one table with every row from another table. Its primary purpose is to generate all possible combinations of the two tables' rows.
Think of it as creating a "grid" of all combinations where:
- Table 1 has
n
rows - Table 2 has
m
rows - The result will have
n × m
rows.
When Would You Use a CROSS JOIN?
- Generate All Combinations:
- You use a CROSS JOIN when you need all possible pairings of two sets of data.
- Example: Create a deck of playing cards, pair all products with all stores, or combine months with employees to plan schedules.
- Find Missing Data:
- Pair everything (e.g., products and stores) and then check which combinations are missing in another table (e.g., unsold products in a sales table).
Example 1: Generating All Combinations of Products and Stores
Tables
Products Table:
product_id | product_name |
1 | iPhone |
2 | iPad |
3 | Macbook Pro |
Stores Table:
store_id | store_name |
1 | North Store |
2 | South Store |
CROSS JOIN Query
sql
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SELECT
product_name,
store_name
FROM
products
CROSS JOIN
stores;
Output:
product_name | store_name |
iPhone | North Store |
iPhone | South Store |
iPad | North Store |
iPad | South Store |
Macbook Pro | North Store |
Macbook Pro | South Store |
Why Use CROSS JOIN Here?
- You now have all combinations of products and stores.
- For instance, if you want to calculate the revenue or check which store sold a particular product, this result can be useful.
Example 2: Checking Unsold Products in Stores
If you want to find out which products were not sold in a particular store, you can start with a CROSS JOIN to generate all possible combinations.
Add Sales Data
Sales Table:
product_id | store_id | quantity |
1 | 1 | 10 |
2 | 1 | 5 |
Query to Find Unsold Products
sql
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SELECT
p.product_name,
s.store_name,
IFNULL(SUM(s.quantity), 0) AS total_quantity_sold
FROM
products p
CROSS JOIN
stores s
LEFT JOIN
sales s ON p.product_id = s.product_id AND s.store_id = s.store_id
GROUP BY
p.product_name, s.store_name;
Output:
product_name | store_name | total_quantity_sold |
iPhone | North Store | 10 |
iPad | North Store | 5 |
Macbook Pro | North Store | 0 |
iPhone | South Store | 0 |
iPad | South Store | 0 |
Macbook Pro | South Store | 0 |
Here, the CROSS JOIN ensures that all products and stores are paired. The LEFT JOIN
ensures that combinations without sales are also shown (with 0
sales).
Summary of Purpose
The main purposes of CROSS JOIN are:
- All Possible Combinations:
- Use it to pair every row of one table with every row of another.
- Problem Solving:
- Solve questions about combinations that don't exist in other data (e.g., missing sales).
- Data Generation:
- Generate data combinations for testing, simulations, or creating synthetic datasets (like a deck of cards).
Would you like more examples or clarification on a specific use case?