PostgreSQL Commands and Data Types – A Complete Overview

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PostgreSQL Commands and Data Types – A Complete Overview

Introduction
PostgreSQL is a powerful, open-source relational database management system widely used in modern applications. It is known for its reliability, performance, and rich support for advanced data types. Understanding SQL commands and PostgreSQL data types is essential for anyone working with databases, backend development, or data engineering.
This article provides a clear and structured explanation of SQL command categories and PostgreSQL data types, supported by practical examples.
SQL Commands Overview
SQL commands are grouped based on their purpose in database operations.

 

1. Data Definition Language (DDL)
DDL commands are used to define, modify, and remove database structures.
Key DDL Commands
CREATE – Creates database objects such as tables, views, indexes
ALTER – Modifies the structure of an existing object
DROP – Permanently deletes a database object
TRUNCATE – Removes all records from a table without logging individual row deletions
Example

 

2. Data Manipulation Language (DML)
DML commands are used to manipulate data stored in database tables.
Key DML Commands
INSERT – Adds new records
UPDATE – Modifies existing records
DELETE – Removes records
CALL – Executes stored procedures
LOCK – Controls concurrent access
Example

 

3. Data Query Language (DQL)
DQL focuses on retrieving data from the database.

 

4. Data Control Language (DCL)
DCL commands control access and permissions.
GRANT – Assigns privileges
REVOKE – Removes privileges

 

5. Transaction Control Language (TCL)
TCL commands manage transactions to maintain consistency.
COMMIT
ROLLBACK
SAVEPOINT
SET TRANSACTION
These commands ensure ACID properties (Atomicity, Consistency, Isolation, Durability).
PostgreSQL Numeric Data Types: PostgreSQL provides several numeric data types for storing integers and decimal values.
Numeric Data Types: Numeric data types store whole numbers and decimal values.
Type
Storage
Description
smallint
2 bytes
Small integers
integer
4 bytes
Typical integers
bigint
8 bytes
Large integers
decimal / numeric
Variable
Exact precision
real
4 bytes
Floating-point (6 digits)
double precision
8 bytes
Floating-point (15 digits)
serial
4 bytes
Auto-increment
bigserial
8 bytes
Large auto-increment
Character Data Types: Character data types store text.
Type
Description
char(n)
Fixed-length string
character(n)
Same as char
varchar(n)
Variable-length string
character varying(n)
Same as varchar
text
Unlimited length
PostgreSQL internally treats varchar and text similarly, making text a popular choice.
Date and Time Data Types: PostgreSQL provides advanced support for date and time operations.
Type
Description
timestamp
Date and time without time zone
timestamptz
Date and time with time zone
date
Date only
time
Time only
interval
Time interval
Boolean and Enumerated Types
Boolean Type
Stores logical values:
TRUE or FALSE
 
Enumerated (ENUM) Type
Defines a fixed set of allowed values.
CREATE TYPE week AS ENUM (‘Mon’,’Tue’,’Wed’,’Thu’,’Fri’,’Sat’,’Sun’);
ENUM improves data consistency and readability.
Geometric Data Types
Used for spatial and geometric data.
Type
Description
point
Point on a plane
line
Infinite line
lseg
Line segment
box
Rectangular box
path
Open or closed path
polygon
Polygon
circle
Circle
These are useful in GIS and spatial applications.
 
Network Address Types
Used to store network-related information.
Type
Description
cidr
IPv4 / IPv6 networks
inet
IPv4 / IPv6 hosts
macaddr
MAC addresses
They provide built-in validation and network operators.
Bit String Types
Used to store binary values.
bit(n) – Fixed-length
bit varying(n) – Variable-length
Often used for bit masks and flags.
Text Search Types
PostgreSQL supports full-text search
Type
Description
tsvector
Stores searchable document
tsquery
Stores search query
Used in search engines and document indexing systems.

 

UUID Type: UUIDs ensure global uniqueness.
Example:
550e8400-e29b-41d4-a716-446655440000
Ideal for distributed systems and microservices.

 

XML Data Type
Used to store XML documents.
XMLPARSE(DOCUMENT ‘<tutorial><title>PostgreSQL</title></tutorial>’)
Allows structured XML storage and querying.

 

JSON Data Type
Stores JSON data with validation and operators.

 

Array Data Type
Allows columns to store multiple values.
Example:

 

Composite Types
Composite types represent structured records.
Example:

 

Range Types
Range types store intervals of values.
Built-in Range Types
int4range
int8range
numrange
tsrange
tstzrange
daterange
Example

Conclusion
PostgreSQL is a feature-rich database system that goes beyond traditional relational databases. Its extensive SQL command support and powerful data types enable developers to model real-world data efficiently and accurately. Mastering these concepts equips learners and professionals with the skills needed to build scalable, reliable, and high-performance applications.

 

Author    : Geethika Bandaru

LinkedIn  : http://linkedin.com/in/bandaru-geethika

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