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SQLquery~30 mins

FULL OUTER JOIN availability across databases in SQL - Mini Project: Build & Apply

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Explore FULL OUTER JOIN Availability Across Databases
📖 Scenario: You are working with two different databases that store customer orders and customer feedback separately. You want to combine this information to see all customers who have either placed an order, given feedback, or both.
🎯 Goal: Build SQL queries to perform a FULL OUTER JOIN between two tables orders and feedback to find all customers with their order and feedback details, and understand how FULL OUTER JOIN works in different database systems.
📋 What You'll Learn
Create two tables named orders and feedback with specified columns and data.
Add a configuration variable to specify the database system (e.g., 'PostgreSQL', 'MySQL').
Write a FULL OUTER JOIN query to combine orders and feedback on customer_id.
Add a final note or query to handle databases that do not support FULL OUTER JOIN natively.
💡 Why This Matters
🌍 Real World
Combining customer orders and feedback data from different sources to get a complete view of customer interactions.
💼 Career
Understanding FULL OUTER JOIN and its availability helps database professionals write compatible queries across different database systems.
Progress0 / 4 steps
1
Create tables orders and feedback with sample data
Create a table called orders with columns customer_id (integer) and order_amount (integer). Insert these rows exactly: (1, 100), (2, 150), (4, 200). Then create a table called feedback with columns customer_id (integer) and comments (text). Insert these rows exactly: (2, 'Good service'), (3, 'Late delivery'), (4, 'Excellent').
SQL
Hint

Use CREATE TABLE statements for both tables and INSERT INTO to add the exact rows.

2
Set the database system variable
Create a variable called db_system and set it to the string 'PostgreSQL' to represent the database you are using.
SQL
Hint

Assign the string 'PostgreSQL' to the variable db_system.

3
Write a FULL OUTER JOIN query to combine orders and feedback
Write a SQL query called full_outer_join_query that selects orders.customer_id, order_amount, and comments from orders FULL OUTER JOIN feedback on orders.customer_id = feedback.customer_id.
SQL
Hint

Use FULL OUTER JOIN to combine the tables on customer_id.

4
Add a query for databases without FULL OUTER JOIN support
Write a SQL query called alternative_query that uses UNION of LEFT JOIN and RIGHT JOIN to simulate a FULL OUTER JOIN between orders and feedback on customer_id.
SQL
Hint

Use LEFT JOIN and RIGHT JOIN combined with UNION to mimic FULL OUTER JOIN.

Practice

(1/5)
1. Which of the following SQL databases natively supports the FULL OUTER JOIN clause?
easy
A. PostgreSQL
B. MySQL (before version 8.0)
C. SQLite
D. MariaDB (before version 10.2)

Solution

  1. Step 1: Understand FULL OUTER JOIN support in popular databases

    PostgreSQL supports FULL OUTER JOIN natively, allowing retrieval of all matching and non-matching rows from both tables.
  2. Step 2: Check other databases' support

    MySQL before 8.0 and SQLite do not support FULL OUTER JOIN natively; MariaDB added support only after version 10.2.
  3. Final Answer:

    PostgreSQL -> Option A
  4. Quick Check:

    PostgreSQL supports FULL OUTER JOIN [OK]
Hint: Remember PostgreSQL supports FULL OUTER JOIN natively [OK]
Common Mistakes:
  • Assuming MySQL supports FULL OUTER JOIN before version 8.0
  • Thinking SQLite supports FULL OUTER JOIN
  • Confusing MariaDB versions for FULL OUTER JOIN support
2. Which of the following is the correct syntax for a FULL OUTER JOIN in SQL?
easy
A. SELECT * FROM table1 FULL OUTER JOIN table2 ON table1.id = table2.id;
B. SELECT * FROM table1 INNER FULL JOIN table2 ON table1.id = table2.id;
C. SELECT * FROM table1 FULL JOIN table2 WHERE table1.id = table2.id;
D. SELECT * FROM table1 OUTER JOIN table2 ON table1.id = table2.id;

Solution

  1. Step 1: Identify correct FULL OUTER JOIN syntax

    The correct syntax uses FULL OUTER JOIN with an ON clause to specify join condition.
  2. Step 2: Analyze incorrect options

    SELECT * FROM table1 INNER FULL JOIN table2 ON table1.id = table2.id; uses invalid keyword INNER FULL JOIN, SELECT * FROM table1 FULL JOIN table2 WHERE table1.id = table2.id; misplaces join condition in WHERE, SELECT * FROM table1 OUTER JOIN table2 ON table1.id = table2.id; uses incomplete OUTER JOIN without FULL.
  3. Final Answer:

    SELECT * FROM table1 FULL OUTER JOIN table2 ON table1.id = table2.id; -> Option A
  4. Quick Check:

    FULL OUTER JOIN syntax = SELECT * FROM table1 FULL OUTER JOIN table2 ON table1.id = table2.id; [OK]
Hint: FULL OUTER JOIN requires ON clause, no INNER keyword [OK]
Common Mistakes:
  • Using INNER FULL JOIN instead of FULL OUTER JOIN
  • Placing join condition in WHERE instead of ON
  • Omitting FULL keyword before OUTER JOIN
3. Given two tables:
Table A: id, name
Table B: id, city
With data:
Table A: (1, 'Alice'), (2, 'Bob')
Table B: (2, 'Paris'), (3, 'London')
What is the result of this query?
SELECT A.id, A.name, B.city FROM A FULL OUTER JOIN B ON A.id = B.id ORDER BY A.id, B.id;
medium
A. (1, 'Alice', NULL), (2, 'Bob', NULL)
B. (1, 'Alice', 'Paris'), (2, 'Bob', 'Paris'), (3, NULL, 'London')
C. (2, 'Bob', 'Paris')
D. (1, 'Alice', NULL), (2, 'Bob', 'Paris'), (3, NULL, 'London')

Solution

  1. Step 1: Understand FULL OUTER JOIN behavior

    It returns all rows from both tables, matching rows where possible, NULL where no match.
  2. Step 2: Match rows by id and fill NULLs

    id=1 only in A, so city NULL; id=2 in both, so matched; id=3 only in B, so name NULL.
  3. Final Answer:

    (1, 'Alice', NULL), (2, 'Bob', 'Paris'), (3, NULL, 'London') -> Option D
  4. Quick Check:

    FULL OUTER JOIN returns all rows with NULLs for missing matches [OK]
Hint: FULL OUTER JOIN keeps all rows, fills NULLs for no match [OK]
Common Mistakes:
  • Expecting only matched rows like INNER JOIN
  • Confusing NULL placement for unmatched rows
  • Ignoring rows unique to one table
4. You run this query on MySQL 5.7:
SELECT * FROM employees FULL OUTER JOIN departments ON employees.dept_id = departments.id;

It returns a syntax error. What is the best fix?
medium
A. Upgrade MySQL to version 8.0 or higher
B. Replace FULL OUTER JOIN with LEFT JOIN and UNION with RIGHT JOIN
C. Use CROSS JOIN instead of FULL OUTER JOIN
D. Add parentheses around the JOIN clause

Solution

  1. Step 1: Identify MySQL 5.7 limitation

    MySQL 5.7 does not support FULL OUTER JOIN syntax, causing syntax error.
  2. Step 2: Use workaround with LEFT JOIN and RIGHT JOIN UNION

    Combine LEFT JOIN and RIGHT JOIN with UNION to simulate FULL OUTER JOIN in MySQL 5.7.
  3. Final Answer:

    Replace FULL OUTER JOIN with LEFT JOIN and UNION with RIGHT JOIN -> Option B
  4. Quick Check:

    MySQL 5.7 needs LEFT JOIN + RIGHT JOIN UNION for FULL OUTER JOIN [OK]
Hint: MySQL < 8.0 lacks FULL OUTER JOIN; use LEFT + RIGHT JOIN UNION [OK]
Common Mistakes:
  • Trying to use FULL OUTER JOIN directly in MySQL 5.7
  • Using CROSS JOIN which returns Cartesian product
  • Thinking parentheses fix syntax error
5. You want to write a query that returns all customers and all orders, matching by customer_id, but your database is SQLite which does not support FULL OUTER JOIN. Which approach correctly simulates FULL OUTER JOIN?
hard
A. Use CROSS JOIN and filter rows where customer_id matches
B. Use INNER JOIN customers to orders and add WHERE clause for unmatched rows
C. Use LEFT JOIN customers to orders UNION ALL RIGHT JOIN orders to customers with filtering duplicates
D. Use LEFT JOIN only from customers to orders

Solution

  1. Step 1: Recognize SQLite limitation

    SQLite does not support FULL OUTER JOIN, so we must simulate it.
  2. Step 2: Simulate FULL OUTER JOIN with UNION of LEFT and RIGHT JOIN

    Use LEFT JOIN customers to orders plus UNION ALL with RIGHT JOIN orders to customers (emulated by LEFT JOIN orders to customers) filtering duplicates to get all rows.
  3. Final Answer:

    Use LEFT JOIN customers to orders UNION ALL RIGHT JOIN orders to customers with filtering duplicates -> Option C
  4. Quick Check:

    Simulate FULL OUTER JOIN with LEFT + RIGHT JOIN UNION [OK]
Hint: Simulate FULL OUTER JOIN with LEFT JOIN UNION RIGHT JOIN [OK]
Common Mistakes:
  • Using INNER JOIN which excludes unmatched rows
  • Using CROSS JOIN which creates all combinations
  • Using only LEFT JOIN missing unmatched rows from right table
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10 questions~5 mineasy hard