What is a JOIN? Explain types.

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In SQL, a JOIN is used to combine data from two or more tables based on a related column (usually a primary key–foreign key relationship). Joins help retrieve meaningful information spread across multiple tables.

🔑 Types of Joins in SQL

  1. INNER JOIN

    • Returns only the rows that have matching values in both tables.

    • Example:

      SELECT employees.name, departments.dept_name FROM employees INNER JOIN departments ON employees.dept_id = departments.id;
    • ✅ Output: Only employees who belong to an existing department.

  2. LEFT JOIN (LEFT OUTER JOIN)

    • Returns all rows from the left table and matching rows from the right.

    • If no match, NULLs are returned for right table columns.

    • Example: Show all employees, even those without a department.

  3. RIGHT JOIN (RIGHT OUTER JOIN)

    • Returns all rows from the right table and matching rows from the left.

    • If no match, NULLs are returned for left table columns.

    • Example: Show all departments, even if no employees exist in them.

  4. FULL JOIN (FULL OUTER JOIN)

    • Returns all rows when there is a match in either left or right table.

    • Non-matching rows from both sides are filled with NULLs.

    • Example: List all employees and departments, even if they don’t match.

  5. CROSS JOIN

    • Produces the Cartesian product of both tables (every row of A with every row of B).

    • Example: If table A has 3 rows and table B has 4, result = 12 rows.

  6. SELF JOIN

    • A table joined with itself.

    • Useful for hierarchical or recursive data (e.g., employees with their managers).

⚡ Summary Table

JOIN Type  Description           Returns           
INNER JOIN   Matching rows only   Intersection
LEFT JOINAll rows from left + matches    Left + matches
RIGHT JOINAll rows from right + matches    Right + matches
FULL JOINAll rows from both     Union
CROSS JOINCartesian product  All combinations
SELF JOINTable with itself  Hierarchical data

👉 In short: JOINs help combine relational data. Choose INNER for exact matches, LEFT/RIGHT/FULL for outer coverage, CROSS for all combinations, and SELF for hierarchical relationships.

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