SQL / CORE CONCEPTS

Data types, NULL, and three-valued logic

Learn how data types, null, and three-valued logic works in SQL, why the underlying model matters, and how to apply it in a small program without hiding important trade-offs.

What you will learn

Explain data types in SQL using the correct mental model
Trace a focused SQL example and predict its result before execution
Recognize a boundary case involving null and handle it deliberately

Understanding Data types, NULL, and three-valued logic

Data types, NULL, and three-valued logic belongs to the practical core of SQL. Start by identifying the values or state involved and the rule that connects the input to the result.

Trace the example one operation at a time. Keep data types visible in the code rather than hiding it behind an abstraction before the behavior is understood.

Test a normal case and a boundary case. The difference between the prediction and the observed result is the most useful signal for deciding what to review next.

Key idea

Data types, NULL, and three-valued logic is a defining part of practical SQL work. Start by identifying the data or state involved, then trace the operation that changes or interprets it. Pay attention to the rules SQL applies at this boundary, because those rules explain both the useful behavior and the common failure modes. This lesson keeps the example deliberately small, then connects it to filtering, comparison, and pattern matching so the ideas form a coherent progression rather than a list of isolated syntax facts.

Worked examples

EXAMPLE 1

Data types, NULL, and three-valued logic example

Open workspace

A focused SQL example for data types.

CREATE TABLE lessons (name TEXT, minutes INTEGER);
INSERT INTO lessons VALUES ('SQL basics', 20);
SELECT * FROM lessons;

-- Lesson 4: data types. Change one value and predict the result before running it.

Example explained

Line 1Identify where data types appears in the SQL example and name the data it operates on.

Line 2Trace the relevant SQL rule one operation at a time, recording any state, type, or control-flow change.

Line 3Change one input or boundary condition, predict the result, and compare that prediction with the documented outcome.

Important notes

Remember

Keep the first data types example small enough to trace completely.

Good practice

Use the normal SQL toolchain or browser workspace to compare the actual result with your prediction.

Common mistakes

Watch this boundary

Treating data types as punctuation to memorize instead of a SQL behavior to reason about.

Watch this boundary

Ignoring null until it appears in production data or a larger program.

Try it yourself

PRACTICE TASK

Change, predict, then run

Create a small SQL example that demonstrates data types. Add a normal case and a boundary case, write down the expected result for each, then explain which SQL rule produces that result. Lesson 4 should remain small enough to trace without guessing.

Open SQL workspace

Check your understanding

What is the best first step when working with data types?

Identify the data and predict the result
Add more abstraction immediately
Ignore boundary cases
Memorize punctuation only

Show answer

A clear input, operation, and predicted result create a testable mental model.