INNER JOIN vs OUTER JOIN: Understanding SQL Joins in Depth
What is the Difference Between INNER JOIN and OUTER JOIN?
In SQL, INNER JOIN and OUTER JOIN are used to combine rows from two or more tables based on a related column. The primary difference lies in how these joins handle unmatched rows.
1. INNER JOIN
The INNER JOIN returns only the rows that have matching values in both tables. If there is no match, the row is excluded from the result.
Syntax:
SELECT columns FROM table1 INNER JOIN table2 ON table1.column = table2.column;
Key Characteristics:
- Returns rows where there is a match in both tables.
- Excludes rows with no corresponding match.
Example:
Table: employees
EmployeeID | Name | DepartmentID |
---|---|---|
1 | Alice | 101 |
2 | Bob | 102 |
3 | Charlie | 103 |
Table: departments
DepartmentID | DepartmentName |
---|---|
101 | HR |
102 | IT |
Query:
SELECT employees.Name, departments.DepartmentName FROM employees INNER JOIN departments ON employees.DepartmentID = departments.DepartmentID;
Result:
Name | DepartmentName |
---|---|
Alice | HR |
Bob | IT |
- Only rows with matching DepartmentID are included.
2. OUTER JOIN
The OUTER JOIN includes rows from one or both tables, even if there is no match. There are three types of OUTER JOINs:
- LEFT JOIN (or LEFT OUTER JOIN): Returns all rows from the left table, with matching rows from the right table (or NULL for unmatched rows).
- RIGHT JOIN (or RIGHT OUTER JOIN): Returns all rows from the right table, with matching rows from the left table (or NULL for unmatched rows).
- FULL JOIN (or FULL OUTER JOIN): Returns all rows from both tables, with NULL in place of unmatched columns.
2.1 LEFT JOIN
Returns all rows from the left table, even if there is no match in the right table.
Syntax:
SELECT columns FROM table1 INNER JOIN table2 ON table1.column = table2.column;
Query:
SELECT employees.Name, departments.DepartmentName FROM employees INNER JOIN departments ON employees.DepartmentID = departments.DepartmentID;
Result:
Name | DepartmentName |
---|---|
Alice | HR |
Bob | IT |
Charlie | NULL |
- "Charlie" is included even though there is no matching DepartmentID.
2.2 RIGHT JOIN
Returns all rows from the right table, even if there is no match in the left table.
Syntax:
SELECT columns FROM table1 LEFT JOIN table2 ON table1.column = table2.column;
Query:
SELECT employees.Name, departments.DepartmentName FROM employees LEFT JOIN departments ON employees.DepartmentID = departments.DepartmentID;
Result
Name | DepartmentName |
---|---|
Alice | HR |
Bob | IT |
NULL | Finance |
- "Finance" is included even though there is no matching employee.
2.3 FULL OUTER JOIN
Returns all rows from both tables. Rows without matches are filled with NULL.
Syntax:
SELECT columns FROM table1 RIGHT JOIN table2 ON table1.column = table2.column;
Query:
SELECT employees.Name, departments.DepartmentName FROM employees RIGHT JOIN departments ON employees.DepartmentID = departments.DepartmentID;
Result:
Name | DepartmentName |
---|---|
Alice | HR |
Bob | IT |
Charlie | NULL |
NULL | Finance |
- Includes all rows from both tables, with NULL for non-matching data.
Key Differences
Feature | INNER JOIN | OUTER JOIN | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Returns only matching rows. | Returns all rows from one or both tables. | |||||||||||||||
Unmatched Rows |
Excluded from the result. | Included with NULL values for missing columns. | |||||||||||||||
Performance | Generally faster. | Can be slower due to more data being processed. | |||||||||||||||
Variants |
Single type. | Includes LEFT, RIGHT, and FULL OUTER JOIN. |
Use Cases
INNER JOIN
: Use when you need only matching records, such as finding employees working in specific departments.LEFT JOIN
: Use when you need all records from one table, such as listing all employees with or without department assignments.RIGHT JOIN
: Use when you need all records from the second table, such as listing all departments with or without assigned employees.FULL OUTER JOIN: Use when you need all records from both tables, such as finding mismatched records in data integration.
Conclusion
The above is the detailed content of INNER JOIN vs OUTER JOIN: Understanding SQL Joins in Depth. For more information, please follow other related articles on the PHP Chinese website!

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