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Data Interview Question

Differentiating Between Left and Right Joins

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Answer

Understanding Left and Right Joins in SQL

In SQL, joins are utilized to combine rows from two or more tables based on a related column between them. Among the various types of joins, LEFT JOIN and RIGHT JOIN are commonly used, and understanding their differences is crucial for efficient data retrieval.

Left Join

  • Definition: A LEFT JOIN, also known as LEFT OUTER JOIN, returns all records from the left table (table1) and the matched records from the right table (table2). If there is no match, the result is NULL on the side of the right table.

  • Syntax:

    SELECT columns
    FROM table1
    LEFT JOIN table2
    ON table1.common_column = table2.common_column;
    
  • Characteristics:

    • Returns all records from the left table.
    • Matches records from the right table.
    • Fills in NULLs for missing matches from the right table.
  • Example: Suppose you have two tables: Employees and Departments. If you want to list all employees and their respective departments, even if some employees are not assigned to any department, you would use a LEFT JOIN.

    SELECT Employees.name, Departments.department_name
    FROM Employees
    LEFT JOIN Departments
    ON Employees.department_id = Departments.id;
    

Right Join

  • Definition: A RIGHT JOIN, also known as RIGHT OUTER JOIN, returns all records from the right table (table2) and the matched records from the left table (table1). If there is no match, the result is NULL on the side of the left table.

  • Syntax:

    SELECT columns
    FROM table1
    RIGHT JOIN table2
    ON table1.common_column = table2.common_column;
    
  • Characteristics:

    • Returns all records from the right table.
    • Matches records from the left table.
    • Fills in NULLs for missing matches from the left table.
  • Example: Using the same Employees and Departments tables, if you want to list all departments and their respective employees, even if some departments have no employees, you would use a RIGHT JOIN.

    SELECT Employees.name, Departments.department_name
    FROM Employees
    RIGHT JOIN Departments
    ON Employees.department_id = Departments.id;
    

Key Differences

  • Row Inclusion:

    • LEFT JOIN: Includes all rows from the left table, regardless of matching rows in the right table.
    • RIGHT JOIN: Includes all rows from the right table, regardless of matching rows in the left table.
  • NULL Values:

    • LEFT JOIN: Fills NULLs for non-matching rows in the right table.
    • RIGHT JOIN: Fills NULLs for non-matching rows in the left table.

Understanding these differences helps in choosing the appropriate join type based on the desired output, ensuring accurate and efficient data retrieval in SQL queries.