Column data types (INT, VARCHAR, DATE, DECIMAL) in SQL

Introduction

Column data types tell the database what kind of information each column will hold, like numbers, text, or dates. This helps keep data organized and accurate.

When creating a table to store customer information like names and birthdates.

When saving product prices that need decimal points for cents.

When recording dates for events or transactions.

When storing whole numbers like quantities or IDs.

Syntax

SQL

column_name DATA_TYPE(size)

DATA_TYPE defines what kind of data the column holds, like INT for whole numbers or VARCHAR for text.

Size is optional and usually used with VARCHAR to limit text length or DECIMAL to set precision and scale.

Examples

Stores whole numbers like age.

SQL

age INT

Stores text up to 50 characters long.

SQL

name VARCHAR(50)

Stores a date value like a birthday.

SQL

birthdate DATE

Stores numbers with up to 8 digits total and 2 digits after the decimal point, like money.

SQL

price DECIMAL(8,2)

Sample Program

This creates a Products table with different column types, adds two products, and then shows all the data.

SQL

CREATE TABLE Products (
  ProductID INT,
  ProductName VARCHAR(100),
  ReleaseDate DATE,
  Price DECIMAL(10,2)
);

INSERT INTO Products VALUES (1, 'Coffee Maker', '2023-05-10', 79.99);
INSERT INTO Products VALUES (2, 'Blender', '2022-11-20', 49.50);

SELECT * FROM Products;

Important Notes

INT is for whole numbers without decimals.

VARCHAR needs a size to limit how many characters it can hold.

DATE stores year-month-day format.

DECIMAL is great for exact numbers like money, where decimals matter.

Summary

Column data types define what kind of data each column holds.

Use INT for whole numbers, VARCHAR for text, DATE for dates, and DECIMAL for precise decimal numbers.

Choosing the right data type helps keep your data clean and useful.

Practice

1. Which SQL data type is best suited to store a person's full name?

easy

A. DECIMAL

B. INT

C. DATE

D. VARCHAR

Solution

1. Step 1: Understand the data type purpose

   VARCHAR is used to store text or strings, like names.

2. Step 2: Match data type to data

   A person's full name is text, so VARCHAR fits best.

3. Final Answer:

   VARCHAR -> Option D

4. Quick Check:

   Text data = VARCHAR [OK]

Hint: Use VARCHAR for any text data like names or addresses [OK]

Common Mistakes:

• Choosing INT for text
• Using DATE for names
• Using DECIMAL for text

2. Which of the following is the correct way to declare a column for storing a price with two decimal places in SQL?

easy

A. price DATE(10,2)

B. price DECIMAL(10,2)

C. price INT(10,2)

D. price VARCHAR(10,2)

Solution

1. Step 1: Identify the data type for decimal numbers

   DECIMAL is used for numbers with fixed decimal places, like prices.

2. Step 2: Check syntax correctness

   DECIMAL(10,2) means total 10 digits, 2 after decimal point, which is correct.

3. Final Answer:

   price DECIMAL(10,2) -> Option B

4. Quick Check:

   Decimal numbers = DECIMAL(precision, scale) [OK]

Hint: Use DECIMAL(precision, scale) for money or precise decimals [OK]

Common Mistakes:

• Using VARCHAR for numbers
• INT with decimals
• DATE for numeric values

3. Given the table definition:
CREATE TABLE Orders (OrderID INT, OrderDate DATE, CustomerName VARCHAR(50), TotalAmount DECIMAL(8,2));
What will be the result of this insert?
INSERT INTO Orders VALUES (101, '2024-05-10', 'Alice', 123.456);

medium

A. The TotalAmount will store 123.46, rounding to 2 decimals

B. The TotalAmount will store 123.456 exactly

C. The insert will fail due to decimal precision error

D. The TotalAmount will store 123

Solution

1. Step 1: Understand DECIMAL(8,2) behavior

   DECIMAL(8,2) stores numbers with 2 decimal places, rounding if needed.

2. Step 2: Analyze the inserted value 123.456

   Since only 2 decimals allowed, 123.456 rounds to 123.46.

3. Final Answer:

   The TotalAmount will store 123.46, rounding to 2 decimals -> Option A

4. Quick Check:

   DECIMAL rounds to defined decimals [OK]

Hint: DECIMAL rounds extra decimals to defined scale [OK]

Common Mistakes:

• Expecting exact 3 decimals stored
• Thinking insert fails
• Assuming truncation without rounding

4. You have this table creation statement:
CREATE TABLE Employees (ID INT, JoinDate VARCHAR(10));
Why might storing dates as VARCHAR cause problems?

medium

A. Because VARCHAR does not enforce date format, leading to inconsistent data

B. Because INT is better for dates

C. Because VARCHAR cannot store text

D. Because DATE type is slower than VARCHAR

Solution

1. Step 1: Understand VARCHAR vs DATE for dates

   VARCHAR stores text without checking if it is a valid date.

2. Step 2: Identify problems with VARCHAR for dates

   Data can be inconsistent or invalid, causing errors in date operations.

3. Final Answer:

   Because VARCHAR does not enforce date format, leading to inconsistent data -> Option A

4. Quick Check:

   Use DATE type to enforce valid dates [OK]

Hint: Use DATE type to keep dates consistent and valid [OK]

Common Mistakes:

• Thinking INT stores dates
• Believing VARCHAR can't store text
• Assuming DATE is slower

5. You want to create a table to store product details including:
- Product ID as a whole number
- Product name up to 100 characters
- Release date
- Price with up to 7 digits total and 2 decimals

Which is the best SQL column definition for the Price column?

hard

A. Price VARCHAR(7)

B. Price INT

C. Price DECIMAL(7,2)

D. Price DATE

Solution

1. Step 1: Understand the requirements for Price

   Price needs to store numbers with 2 decimal places and up to 7 digits total.

2. Step 2: Match data type to requirements

   DECIMAL(7,2) fits perfectly: 7 digits total, 2 after decimal point.

3. Step 3: Eliminate wrong options

   INT stores whole numbers only, VARCHAR stores text, DATE is for dates.

4. Final Answer:

   Price DECIMAL(7,2) -> Option C

5. Quick Check:

   Use DECIMAL for precise decimal numbers [OK]

Hint: Use DECIMAL(total_digits, decimals) for prices [OK]

Common Mistakes:

• Using INT for prices with decimals
• Using VARCHAR for numbers
• Confusing DATE with price