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SQL Pocket Guide, 4th Edition
book

SQL Pocket Guide, 4th Edition

by Alice Zhao
August 2021
Beginner to intermediate
354 pages
4h 59m
English
O'Reilly Media, Inc.
Content preview from SQL Pocket Guide, 4th Edition

Chapter 6. Data Types

In a SQL table, each column can only include values of a single data type. This chapter covers commonly used data types, as well as how and when to use them.

The following statement specifies three columns along with the data type for each column: id holds integer values, name holds values containing up to 30 characters, and dt holds date values:

CREATE TABLE my_table (
   id INT,
   name VARCHAR(30),
   dt DATE
);

INT, VARCHAR, and DATE are just three of the many data types in SQL. Table 6-1 lists four categories of data types, along with common subcategories. Data type syntax varies widely by RDBMS, and the differences are detailed out in each section of this chapter.

Table 6-1. Data types in SQL
Numeric String Datetime Other

Integer (123)

Decimal (1.23)

Floating Point (1.23e10)

Character ('hello')

Unicode ('西瓜')

Date ('2021-12–01')

Time ('2:21:00')

Datetime ('2021-12-01 2:21:00')

Boolean (TRUE)

Binary (images, documents, etc.)

Table 6-2 lists example values of each data type to show how they are represented in SQL. These values are often referred to as literals or constants.

Table 6-2. Literals in SQL
Category Subcategory Example Values

Numeric

Integer

123

+123

-123

Decimal

123.45

+123.45

-123.45

Floating Point

123.45E+23

123.45e−23

String

Character

'Thank you!'

'The combo is 39-6-27.'

Unicode

N'Amélie'

N'♥♥♥'

Datetime

Date

'2022-10-15'

'15-OCT-2022' (Oracle)

Time

'10:30:00'

'10:30:00.123456'

'10:30:00 -6:00'

Datetime

'2022-10-15 ...

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Publisher Resources

ISBN: 9781492090397Errata Page