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RIGHT JOIN in MySQL - Cheat Sheet & Quick Revision

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beginner
What does a RIGHT JOIN do in SQL?
A RIGHT JOIN returns all rows from the right table and the matching rows from the left table. If there is no match, the result is NULL on the left side.
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beginner
How is RIGHT JOIN different from LEFT JOIN?
RIGHT JOIN returns all rows from the right table, while LEFT JOIN returns all rows from the left table. Both include matching rows from the other table and NULLs where no match exists.
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beginner
Write a simple RIGHT JOIN query example.
SELECT * FROM employees RIGHT JOIN departments ON employees.department_id = departments.id; This returns all departments and their employees, including departments with no employees.
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beginner
What happens if there is no matching row in the left table for a RIGHT JOIN?
The columns from the left table will contain NULL values for those rows in the result.
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intermediate
Can RIGHT JOIN be replaced by LEFT JOIN?
Yes, by switching the order of the tables and using LEFT JOIN, you can get the same result as RIGHT JOIN.
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What does a RIGHT JOIN return?
AAll rows from the left table and matching rows from the right table
BAll rows from both tables
COnly matching rows from both tables
DAll rows from the right table and matching rows from the left table
If a row in the right table has no matching row in the left table, what will the LEFT table columns show in a RIGHT JOIN?
ANULL values
BEmpty strings
CThe matching values
DZeroes
Which SQL keyword is used to combine rows from two tables based on a related column?
AWHERE
BSELECT
CJOIN
DGROUP BY
How can you get the same result as a RIGHT JOIN using a LEFT JOIN?
AYou cannot get the same result
BSwitch the order of the tables and use LEFT JOIN
CUse FULL JOIN
DUse INNER JOIN instead
Which of these is true about RIGHT JOIN?
AIt returns all rows from the right table
BIt returns all rows from the left table
CIt returns only rows with matches in both tables
DIt excludes rows with NULL values
Explain in your own words what a RIGHT JOIN does and give a simple example.
Think about which table's rows are always included.
You got /5 concepts.
    How can you rewrite a RIGHT JOIN query using a LEFT JOIN? Describe the steps.
    Consider swapping the tables in the FROM clause.
    You got /4 concepts.

      Practice

      (1/5)
      1. What does a RIGHT JOIN do in SQL?
      easy
      A. Returns all rows from the right table and matching rows from the left table.
      B. Returns all rows from the left table and matching rows from the right table.
      C. Returns only rows that have matching values in both tables.
      D. Returns all rows from both tables, matching where possible.

      Solution

      1. Step 1: Understand the direction of RIGHT JOIN

        A RIGHT JOIN returns all rows from the right table regardless of matches in the left table.
      2. Step 2: Identify matching rows from the left table

        It includes matching rows from the left table and fills NULL where no match exists.
      3. Final Answer:

        Returns all rows from the right table and matching rows from the left table. -> Option A
      4. Quick Check:

        RIGHT JOIN = all right table rows + matched left rows [OK]
      Hint: RIGHT JOIN keeps all right table rows, left table may have NULLs [OK]
      Common Mistakes:
      • Confusing RIGHT JOIN with LEFT JOIN
      • Thinking RIGHT JOIN returns only matching rows
      • Assuming RIGHT JOIN returns all rows from left table
      2. Which of the following is the correct syntax for a RIGHT JOIN in MySQL?
      easy
      A. SELECT * FROM table1 RIGHT OUTER JOIN table2 WHERE table1.id = table2.id;
      B. SELECT * FROM table1 JOIN RIGHT table2 ON table1.id = table2.id;
      C. SELECT * FROM table1 RIGHT JOIN table2 ON table1.id = table2.id;
      D. SELECT * FROM table1 RIGHT JOIN table2 USING id;

      Solution

      1. Step 1: Check standard RIGHT JOIN syntax

        The correct syntax is SELECT ... FROM table1 RIGHT JOIN table2 ON condition;.
      2. Step 2: Validate each option

        SELECT * FROM table1 RIGHT JOIN table2 ON table1.id = table2.id; uses correct syntax with ON clause. SELECT * FROM table1 JOIN RIGHT table2 ON table1.id = table2.id; has wrong keyword order. SELECT * FROM table1 RIGHT OUTER JOIN table2 WHERE table1.id = table2.id; uses WHERE instead of ON. SELECT * FROM table1 RIGHT JOIN table2 USING id; uses invalid syntax (parentheses required: USING (id)).
      3. Final Answer:

        SELECT * FROM table1 RIGHT JOIN table2 ON table1.id = table2.id; -> Option C
      4. Quick Check:

        RIGHT JOIN syntax = FROM table1 RIGHT JOIN table2 ON condition [OK]
      Hint: RIGHT JOIN needs ON clause, USING only if columns match exactly [OK]
      Common Mistakes:
      • Using WHERE instead of ON for join condition
      • Incorrect keyword order like JOIN RIGHT
      • Confusing RIGHT JOIN with RIGHT OUTER JOIN (both valid but syntax matters)
      3. Given these tables:

      Employees
      id | name
      1 | Alice
      2 | Bob

      Departments
      id | dept_name
      2 | Sales
      3 | Marketing

      What is the result of:
      SELECT Employees.name, Departments.dept_name FROM Employees RIGHT JOIN Departments ON Employees.id = Departments.id;
      medium
      A. [('Bob', 'Sales')]
      B. [('Alice', NULL), ('Bob', 'Sales')]
      C. [('Alice', NULL), ('Bob', 'Sales'), (NULL, 'Marketing')]
      D. [('Bob', 'Sales'), (NULL, 'Marketing')]

      Solution

      1. Step 1: Identify RIGHT JOIN behavior with given tables

        RIGHT JOIN keeps all rows from Departments (right table). Departments have ids 2 and 3.
      2. Step 2: Match Employees.id to Departments.id

        Employees with id=2 is Bob, matches Sales. No employee with id=3, so NULL for name and Marketing for dept_name.
      3. Final Answer:

        [('Bob', 'Sales'), (NULL, 'Marketing')] -> Option D
      4. Quick Check:

        RIGHT JOIN keeps all right rows, unmatched left = NULL [OK]
      Hint: RIGHT JOIN shows all right rows, NULL for unmatched left [OK]
      Common Mistakes:
      • Expecting all employees instead of all departments
      • Including unmatched left rows only
      • Confusing LEFT JOIN with RIGHT JOIN results
      4. Consider this query:

      SELECT a.id, b.value FROM tableA a RIGHT JOIN tableB b ON a.id = b.id;

      It returns no rows even though tableB has data. What is the most likely cause?
      medium
      A. The join condition is incorrect or mismatched column names.
      B. RIGHT JOIN does not return any rows if left table is empty.
      C. RIGHT JOIN requires WHERE clause to filter rows.
      D. The query syntax is invalid and causes an error.

      Solution

      1. Step 1: Understand RIGHT JOIN behavior

        RIGHT JOIN returns all rows from right table even if left table has no matching rows.
      2. Step 2: Analyze why no rows returned

        If no rows appear, likely the join condition a.id = b.id does not match any rows due to wrong column names or data mismatch.
      3. Final Answer:

        The join condition is incorrect or mismatched column names. -> Option A
      4. Quick Check:

        No rows means join condition mismatch [OK]
      Hint: No rows? Check join condition and column names first [OK]
      Common Mistakes:
      • Assuming RIGHT JOIN needs WHERE clause
      • Thinking RIGHT JOIN returns no rows if left table empty
      • Believing syntax error causes no rows instead of error
      5. You have two tables:

      Orders
      order_id | customer_id
      1 | 101
      2 | 102

      Customers
      customer_id | name
      101 | John
      103 | Alice

      You want to list all customers and their orders if any. Which query using RIGHT JOIN gives the correct result?
      hard
      A. SELECT Customers.name, Orders.order_id FROM Customers RIGHT JOIN Orders ON Customers.customer_id = Orders.customer_id;
      B. SELECT Customers.name, Orders.order_id FROM Orders RIGHT JOIN Customers ON Orders.customer_id = Customers.customer_id;
      C. SELECT Customers.name, Orders.order_id FROM Orders LEFT JOIN Customers ON Orders.customer_id = Customers.customer_id;
      D. SELECT Customers.name, Orders.order_id FROM Customers LEFT JOIN Orders ON Customers.customer_id = Orders.customer_id;

      Solution

      1. Step 1: Identify which table is right to keep all customers

        We want all customers, so Customers must be the right table in RIGHT JOIN.
      2. Step 2: Check join condition and table order

        SELECT Customers.name, Orders.order_id FROM Orders RIGHT JOIN Customers ON Orders.customer_id = Customers.customer_id; uses Orders RIGHT JOIN Customers ON matching customer_id, so all Customers appear with matching Orders or NULL.
      3. Final Answer:

        SELECT Customers.name, Orders.order_id FROM Orders RIGHT JOIN Customers ON Orders.customer_id = Customers.customer_id; -> Option B
      4. Quick Check:

        RIGHT JOIN keeps all right table rows (Customers) [OK]
      Hint: Put table with all rows as right table in RIGHT JOIN [OK]
      Common Mistakes:
      • Swapping table order and losing all customers
      • Using LEFT JOIN instead of RIGHT JOIN incorrectly
      • Confusing join condition direction
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