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Cross join (CROSS JOIN) and inner join (INNER JOIN) in SQL: Comprehensive comparison
SQL provides two distinct connection types: CROSS JOIN and INNER JOIN, each connection type has its own application scenarios. This article takes an in-depth look at the differences between these two types of connectivity, highlighting their benefits and use cases.
CROSS JOIN: Cartesian product
A cross join, also known as a Cartesian product, combines every row in the first table with every row in the second table. This will generate a new table containing all possible combinations of rows from the joined table.
Grammar:
<code class="language-sql">SELECT * FROM Table1 CROSS JOIN Table2</code>
Example:
Consider a cross join between the 'Customers' table and the 'Movies' table:
<code class="language-sql">SELECT Movies.CustomerID, Movies.Movie, Customers.Age, Customers.Gender, Customers.[Education Level], Customers.[Internet Connection], Customers.[Marital Status], FROM Customers CROSS JOIN Movies</code>
This query will return every possible pairing of customer and movie, resulting in a large number of rows.
INNER JOIN: Limit results
The inner join returns only rows that satisfy the conditions specified in the ON
clause. It selects only those rows in both tables that have matching values.
Grammar:
<code class="language-sql">SELECT * FROM Table1 INNER JOIN Table2 ON Table1.Column = Table2.Column</code>
Example:
Using the same table as before, let’s create an inner join using the CustomerID
column:
<code class="language-sql">SELECT Movies.CustomerID, Movies.Movie, Customers.Age, Customers.Gender, Customers.[Education Level], Customers.[Internet Connection], Customers.[Marital Status] FROM Customers INNER JOIN Movies ON Customers.CustomerID = Movies.CustomerID</code>
This query will only return CustomerID
matching rows from the 'Customers' table and the 'Movies' table, providing more relevant and filtered results.
Select connection type
The choice of cross joins and inner joins depends on the specific requirements of the query.
Generally, it is recommended to use inner joins due to its greater efficiency and ability to filter results, while cross joins are useful in specific scenarios where a Cartesian product is required.
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