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Member summary

Write a mixed report with FULL JOIN.

Member summary

To see the full loan history of members you use FULL OUTER JOIN. Members with no loans also appear.

SELECT m.name, l.book_id
FROM members m
FULL OUTER JOIN loans l ON l.member_id = m.id;

This query lists all members and loans.

m.name, l.book_id is selected from members m. loans l is joined on l.member_id = m.id, keeping every row of both tables.

Member summary — details

FULL OUTER JOIN keeps both sides. Unmatched members and loans come as NULL.

This way one report shows both members who never borrowed a book and faulty loan records without a member.

Practice Member summary

Join members with loans using FULL OUTER JOIN.

Starter code

query.sql
-- member summary
SELECT m.name, l.book_id
FROM members m

Sample solution

query.sql
SELECT m.name, l.book_id
FROM members m
FULL OUTER JOIN loans l ON l.member_id = m.id;

Expected output

name    book_id
Ayşe    1
Fatma   NULL

Questions and answers

Review the lesson questions together with their answers. To test yourself, solve the lesson interactively.

1 Add FULL OUTER JOIN

Question 
SELECT m.name, l.book_id
FROM members m
____ loans l ON l.member_id = m.id;
Answer 
SELECT m.name, l.book_id
FROM members m
FULL OUTER JOIN loans l ON l.member_id = m.id;

Explanation: FULL OUTER JOIN is the right answer.

2 Member summary: match the terms

Term Meaning
members member
loans loan
FULL OUTER both
NULL empty

3 What does FULL OUTER JOIN keep?

  • Only the right
  • Both sides Correct answer
  • Only the left
  • Only the matching ones

Explanation: FULL OUTER JOIN keeps both sides.

All lessons in Intermediate

1 INNER JOIN in depth

  1. INNER JOIN logic
  2. Choosing the join column
  3. Three-table INNER JOIN
  4. Self JOIN
  5. Filtering joins
  6. Summary - INNER JOIN

2 LEFT and RIGHT JOIN

  1. LEFT JOIN
  2. RIGHT JOIN
  3. Unmatched rows
  4. JOINs with NULL
  5. LEFT vs RIGHT
  6. Summary - LEFT and RIGHT JOIN

3 FULL and CROSS JOIN

  1. FULL OUTER JOIN
  2. CROSS JOIN
  3. When to CROSS JOIN
  4. Comma JOIN
  5. Choosing a JOIN type
  6. Summary - FULL and CROSS JOIN

4 Project: Library database

  1. Library design
  2. Books and authors
  3. List loans with LEFT JOIN
  4. Find overdue loans
  5. Member summary

5 GROUP BY

  1. What is GROUP BY?
  2. Single-column grouping
  3. Multi-column grouping
  4. GROUP BY with aggregates
  5. Ordering grouped results
  6. Summary - GROUP BY

6 HAVING

  1. What is HAVING?
  2. HAVING vs WHERE
  3. HAVING with aggregates
  4. Multiple conditions
  5. HAVING with aliases
  6. Summary - HAVING

7 Aggregate functions

  1. COUNT
  2. SUM
  3. AVG
  4. MIN and MAX
  5. NULL and aggregates
  6. Summary - Aggregates

8 Project: Sales report

  1. Sales design
  2. Daily revenue
  3. Best sellers
  4. Customer segments
  5. Low performers

9 Subquery

  1. What is a subquery?
  2. Scalar subquery
  3. Subquery with IN
  4. ANY and ALL
  5. Correlated subquery
  6. Summary - Subquery

10 EXISTS

  1. What is EXISTS?
  2. NOT EXISTS
  3. EXISTS vs IN
  4. EXISTS performance
  5. Multiple EXISTS
  6. Summary - EXISTS

11 UNION and INTERSECT

  1. UNION
  2. UNION ALL
  3. INTERSECT
  4. EXCEPT
  5. Set rules
  6. Summary - UNION and INTERSECT

12 CASE

  1. What is CASE?
  2. Searched CASE
  3. Simple CASE
  4. The ELSE branch
  5. CASE with aggregates
  6. Summary - CASE

13 VIEW

  1. What is a VIEW?
  2. CREATE VIEW
  3. Querying a VIEW
  4. DROP VIEW
  5. Updatable VIEWs
  6. Summary - VIEW

14 INDEX basics

  1. What is an INDEX?
  2. CREATE INDEX
  3. Composite INDEX
  4. DROP INDEX
  5. When to index
  6. Summary - INDEX

15 Project: Blog database

  1. Blog design
  2. Post list
  3. Tag search
  4. Author stats
  5. Search index

16 Normalization

  1. What is normalization?
  2. First normal form
  3. Second normal form
  4. Third normal form
  5. BCNF
  6. Summary - Normalization

17 Data integrity

  1. What is integrity?
  2. Entity integrity
  3. Referential integrity
  4. Domain integrity
  5. Integrity with triggers
  6. Summary - Data integrity

18 Transaction basics

  1. What is a transaction?
  2. BEGIN and COMMIT
  3. ROLLBACK
  4. SAVEPOINT
  5. ACID
  6. Summary - Transaction

19 ALTER and DROP

  1. ALTER TABLE
  2. Adding a column
  3. Dropping a column
  4. Changing a column type
  5. DROP TABLE
  6. Summary - ALTER and DROP

20 Intermediate final

  1. Multi-JOIN report
  2. Aggregate analysis
  3. Subquery challenge
  4. Transaction scenario