EDUCBA Logo

EDUCBA

MENUMENU
  • Explore
    • EDUCBA Pro
    • PRO Bundles
    • All Courses
    • All Specializations
  • Blog
  • Enterprise
  • Free Courses
  • All Courses
  • All Specializations
  • Log in
  • Sign Up
Home Data Science Data Science Tutorials PostgreSQL Tutorial PostgreSQL DDL
 

PostgreSQL DDL

Sohel Sayyad
Article bySohel Sayyad
EDUCBA
Reviewed byRavi Rathore

Updated May 12, 2023

PostgreSQL DDL

 

 

Introduction to PostgreSQL DDL

The PostgreSQL DDL is the acronym for Data Definition Language. The Data Definition Language is used to handle the database descriptions and schemas, and it is used to define as well as modify the structure of the data. With the help of the Data Definition Language, we decide how the data should be stored in the database. We can perform operations on the database by creating a new one, altering the existing one, and removing, truncating, or renaming the existing database.

Watch our Demo Courses and Videos

Valuation, Hadoop, Excel, Mobile Apps, Web Development & many more.

How does the DDL Statement work in PostgreSQL?

  • The Data Definition Language is used to define as well as modify the structure of the data.
  • The Data Definition Language commands can be used to create, drop or modify tables within a database.

List of PostgreSQL DDL Statement

The Data Definition Language consists of the following statements:

  • CREATE
  • ALTER
  • TRUNCATE
  • DROP

1. CREATE Statement

The CREATE statement is used to create objects like (database, table, index, views, store procedure, function, and triggers).

Syntax:

CREATE TABLE <table_name>
(column_name_1 datatype,
column_name_2 datatype,
.
.
column_name_n datatype
);

Example:

Code:

CREATE TABLE student
(
student_id INT,
student_name VARCHAR(30),
student_age INT,
student_address VARCHAR(25),
student_phone_no VARCHAR(20)
);

Illustrate the result of the above Statement by using the following SQL statement and a snapshot:

Code:

Select * from student;

Output:

PostgreSQL DDL 1

2. ALTER Statement

The ALTER statement allows modifying the existing database objects. We can alter or modify the database structure by using an ALTER statement.

We can perform the following operations by using an ALTER statement:

  • Add a column in the table.
  • Drop the existing column.
  • Change the data type of the column.

a. Consider the following ALTER statement syntax for adding a PRIMARY KEY on a column in the existing table.

Syntax:

ALTER TABLE
<tableName>
ADD PRIMARY KEY (<columnName>);

Example:

Code:

ALTER TABLE
student
ADD PRIMARY KEY (student_id);

b. Consider the following ALTER statement syntax for setting NOT NULL on a column in the existing table.

Syntax:

ALTER TABLE
<tableName>
ALTER COLUMN
<columnName>
SET NOT NULL;

Example:

Code:

ALTER TABLE
student
ALTER COLUMN
student_name
SET NOT NULL;

Output:

for setting NOT NULL

c. Consider the following ALTER statement syntax for dropping NOT NULL on a column in the existing table.

Syntax:

ALTER TABLE
<tableName>
ALTER COLUMN
<columnName>
DROP NOT NULL;

Example:

Code:

ALTER TABLE
student
ALTER COLUMN
student_name
DROP NOT NULL;

Output:

dropping NOT NULL

d. Consider the following ALTER statement syntax for adding a new column in the existing table.

Syntax:

ALTER TABLE
<tableName>
ADD <columnName data-type>;

Example:

Code:

ALTER TABLE
student
ADD email varchar(50);

Illustrate the result of the above Statement by using the following SQL statement and a snapshot:

Code:

Select * from student;

Output:

PostgreSQL DDL 4

Consider the following ALTER statement syntax for renaming an existing column name to a new column name.

Syntax:

ALTER TABLE
<tableName>
RENAME COLUMN
<oldColumnName> TO <newColumnName>;

Example:

Code:

ALTER TABLE
student
RENAME COLUMN
Email TO email_id;

Illustrate the result of the above Statement by using the following SQL statement and a snapshot:

Code:

Select * from student;

Output:

PostgreSQL DDL 5

Consider the following ALTER statement syntax for removing an existing column from the table.

Syntax:

ALTER TABLE
<tableName>
DROP COLUMN
<columnName>;

Example:

Code:

ALTER TABLE
student
DROP COLUMN
Email_id;

Illustrate the result of the above Statement by using the following SQL statement and a snapshot:

Code:

Select * from student;

Output:

postgreSQL DDL 6

We can rename the database objects. RENAME statement is used to rename the tables within the database.

Consider the following RENAME statement syntax for renaming the existing column from the table.

Syntax:

ALTER TABLE <oldName>
RENAME
TO
<newName>;

Example:

Code:

ALTER TABLE
student
RENAME TO
studentInfo;

3. TRUNCATE Statement

We can remove all rows from a table, including all spaces allocated for the rows.

Consider the following TRUNCATE statement syntax for removing all of the rows from the table.

Syntax:

TRUNCATE TABLE
<tableName>;

Example:

Code:

TRUNCATE TABLE studentInfo;

Output:

TRUNCATE statement

4. DROP statement

We can delete database objects by using a DROP statement such as a table, index, view, etc.

Consider the following DROP statement syntax for removing the entire database object structure.

Syntax:

DROP TABLE
<tableName>;

OR

DROP DATABASE
<databaseName>;

Example:

Code:

DROP TABLE studentInfo;

Output:

DROP statement

Conclusion

In this article, we saw how to use the PostgreSQL DDL and how the PostgreSQL DDL works. Also, we have added several examples of each PostgreSQL DDL.

Recommended Articles

We hope that this EDUCBA information on “PostgreSQL DDL” was beneficial to you. You can view EDUCBA’s recommended articles for more information.

  1. PostgreSQL UPDATE JOIN
  2. PostgreSQL Variables
  3. GRANT PostgreSQL
  4. PostgreSQL round
Primary Sidebar
Footer
Follow us!
  • EDUCBA FacebookEDUCBA TwitterEDUCBA LinkedINEDUCBA Instagram
  • EDUCBA YoutubeEDUCBA CourseraEDUCBA Udemy
APPS
EDUCBA Android AppEDUCBA iOS App
Blog
  • Blog
  • Free Tutorials
  • About us
  • Contact us
  • Log in
Courses
  • Enterprise Solutions
  • Free Courses
  • Explore Programs
  • All Courses
  • All in One Bundles
  • Sign up
Email
  • [email protected]

ISO 10004:2018 & ISO 9001:2015 Certified

© 2025 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

By continuing above step, you agree to our Terms of Use and Privacy Policy.
*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA Login

Forgot Password?

🚀 Limited Time Offer! - 🎁 ENROLL NOW