Three-valued logic helps databases handle situations where some information is missing or unknown. It adds a third option called UNKNOWN besides TRUE and FALSE.
When you have NULL values in your data and want to check conditions safely.
When filtering rows where some columns might not have values yet.
When you want to avoid wrong results caused by missing information.
When writing queries that involve comparisons with NULLs.
When you want to understand how SQL treats TRUE, FALSE, and UNKNOWN in conditions.
Syntax
SQL
condition
-- condition can evaluate to TRUE, FALSE, or UNKNOWN (NULL involved)
SQL uses NULL to represent unknown or missing values.
Comparisons with NULL result in UNKNOWN, not TRUE or FALSE.
Examples
This returns no rows because 'column = NULL' is UNKNOWN, not TRUE.
SQL
SELECT * FROMtableWHERE column = NULL;
This correctly checks for NULL values and returns rows where column is NULL.
SQL
SELECT * FROMtableWHERE column ISNULL;
If column is NULL, the condition is UNKNOWN, so the row is not returned.
SQL
SELECT * FROMtableWHERE column <> 5;
Sample Program
This query shows how the condition 'age > 20' evaluates to TRUE, FALSE, or UNKNOWN (NULL) for each row.
SQL
CREATETABLE people (id INT, age INT);
INSERTINTO people VALUES (1, 25), (2, NULL), (3, 30);
SELECT id, age, age > 20AS is_adult FROM people;
OutputSuccess
Important Notes
UNKNOWN behaves like FALSE in WHERE clauses, so rows with UNKNOWN conditions are not returned.
Use IS NULL or IS NOT NULL to check for NULL values explicitly.
Logical operators (AND, OR, NOT) follow special rules with UNKNOWN to keep logic consistent.
Summary
SQL uses three-valued logic: TRUE, FALSE, and UNKNOWN (NULL).
Comparisons with NULL result in UNKNOWN, which affects query results.
Use IS NULL to check for unknown values properly.
Practice
(1/5)
1. In SQL's three-valued logic, what is the result of comparing a column value to NULL using the = operator?
easy
A. TRUE
B. NULL
C. FALSE
D. UNKNOWN
Solution
Step 1: Understand comparison with NULL
In SQL, any comparison with NULL using = does not return TRUE or FALSE but UNKNOWN.
Step 2: Recall three-valued logic rules
Since NULL means unknown, the comparison result is UNKNOWN, not TRUE or FALSE.
Final Answer:
UNKNOWN -> Option D
Quick Check:
Comparison with NULL = UNKNOWN [OK]
Hint: Comparing with NULL using '=' always yields UNKNOWN [OK]
Common Mistakes:
Assuming NULL equals NULL returns TRUE
Thinking NULL comparison returns FALSE
Confusing NULL with a string 'NULL'
2. Which of the following SQL WHERE clause conditions correctly checks if a column col contains NULL values?
easy
A. WHERE col = NULL
B. WHERE col != NULL
C. WHERE col IS NULL
D. WHERE col = 'NULL'
Solution
Step 1: Identify correct NULL check syntax
In SQL, to check for NULL values, you must use IS NULL because = NULL does not work.
Step 2: Evaluate each option
WHERE col IS NULL uses IS NULL, which is the correct syntax. Others compare with NULL using = or treat NULL as a string, which is incorrect.
Final Answer:
WHERE col IS NULL -> Option C
Quick Check:
Use IS NULL to check NULL values [OK]
Hint: Use IS NULL, not = NULL, to check for NULL values [OK]
Common Mistakes:
Using = NULL instead of IS NULL
Comparing NULL as a string 'NULL'
Using != NULL to find non-NULL values
3. Given a table Employees with a column Bonus that can be NULL, what will the query SELECT * FROM Employees WHERE Bonus > 1000; return for rows where Bonus is NULL?
medium
A. Rows with NULL Bonus are excluded
B. Rows with NULL Bonus are included
C. Query returns an error
D. Rows with NULL Bonus are returned as FALSE
Solution
Step 1: Understand comparison with NULL in WHERE clause
Comparing NULL with any value using > results in UNKNOWN, which is treated as FALSE in WHERE filtering.
Step 2: Determine which rows are returned
Rows where Bonus is NULL do not satisfy Bonus > 1000 condition, so they are excluded from the result.
Final Answer:
Rows with NULL Bonus are excluded -> Option A
Quick Check:
NULL comparison in WHERE excludes rows [OK]
Hint: WHERE excludes rows with NULL in condition comparisons [OK]
Common Mistakes:
Assuming NULL > 1000 returns TRUE
Expecting NULL rows to appear in results
Thinking query throws error due to NULL
4. You wrote this query: SELECT * FROM Orders WHERE Status = 'Shipped' OR Status <> 'Shipped'; but it returns fewer rows than expected. What is the likely cause?
medium
A. Rows with NULL Status are excluded due to three-valued logic
B. Syntax error in the query
C. The OR operator is invalid here
D. The query returns all rows regardless of Status
Solution
Step 1: Analyze the WHERE clause logic
The condition checks if Status equals 'Shipped' OR Status not equals 'Shipped'.
Step 2: Consider NULL values in Status
For rows where Status is NULL, both comparisons return UNKNOWN, so those rows are excluded.
Final Answer:
Rows with NULL Status are excluded due to three-valued logic -> Option A
Quick Check:
NULL comparisons exclude rows in OR conditions [OK]
Hint: NULL in OR conditions can exclude rows unexpectedly [OK]
Common Mistakes:
Assuming NULL rows satisfy OR condition
Thinking query has syntax error
Believing OR always returns all rows
5. You want to select all rows from Products where Discount is either greater than 20 or unknown (NULL). Which WHERE clause correctly implements this using three-valued logic?
hard
A. WHERE Discount > 20 OR Discount = NULL
B. WHERE Discount > 20 OR Discount IS NULL
C. WHERE Discount > 20 AND Discount IS NULL
D. WHERE Discount >= 20 OR Discount IS NOT NULL
Solution
Step 1: Identify correct NULL check syntax
To check for NULL values, use IS NULL, not = NULL.
Step 2: Combine conditions correctly
You want rows where Discount is greater than 20 OR Discount is NULL, so use OR with Discount > 20 and Discount IS NULL.
Final Answer:
WHERE Discount > 20 OR Discount IS NULL -> Option B
Quick Check:
Use IS NULL with OR for NULL checks [OK]
Hint: Use IS NULL with OR to include NULLs in conditions [OK]
Common Mistakes:
Using = NULL instead of IS NULL
Using AND instead of OR
Checking IS NOT NULL instead of IS NULL
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