Preamble

PostgreSQL DROP TABLE statement allows you to remove a table from a PostgreSQL database.
The simplest syntax for DROP TABLE in PostgreSQL
DROP TABLE table_name;
The full syntax for the PostgreSQL DROP TABLE statement
DROP [ TEMPORARY ] TABLE [ IF EXISTS ]
table_name1, table_name2,...
[ RESTRICT | CASCADE ];
Parameters and arguments of the operator
- TEMPORARY – Optional. It specifies that the DROP TABLE operator should delete only temporary tables.
- table_name – The name of the table to be deleted from the database.
- Table_name1, table_name2 – The tables to be deleted from the database if more than one table in the DROP TABLE operator is deleted.
- IF EXISTS – Optional. If specified, the DROP TABLE statement shall not cause an error if one of the tables does not exist.
- RESTRICT – Optional. If specified, the table will be deleted only if there are no other objects that depend on it.
- CASCADE – Optional. If specified, the table will be deleted and all objects that depend on it will be automatically deleted.
If you use the DROP TABLE operator in PostgreSQL to delete one or more non-existent tables, the database will generate an error (unless you specify the IF EXISTS parameter in the DROP TABLE operator).
Consider an example that shows how to remove a table using the PostgreSQL DROP TABLE operator.
Deleting a single table
First let’s look at a simple DROP TABLE example, which shows how to use DROP TABLE to delete a single table in PostgreSQL.
For example:
DROP TABLE order_details;
This DROP TABLE example will delete the table named order_details.
Deleting multiple tables
Let’s have a look at an example where we want to delete more than one table using the DROP TABLE operator:
For example:
DROP TABLE order_details, products;
This example will delete two tables, order_details, and products. If we are worried that one of the tables doesn’t exist and we don’t want to get an error, we can change our DROP TABLE operator as follows:
DROP TABLE IF EXISTS order_details, products;
This example will delete order_details and product tables and will not generate an error if one of the tables does not exist.
How to Create and Drop Tables in PostgreSQL
Enteros
About Enteros
IT organizations routinely spend days and weeks troubleshooting production database performance issues across multitudes of critical business systems. Fast and reliable resolution of database performance problems by Enteros enables businesses to generate and save millions of direct revenue, minimize waste of employees’ productivity, reduce the number of licenses, servers, and cloud resources and maximize the productivity of the application, database, and IT operations teams.
The views expressed on this blog are those of the author and do not necessarily reflect the opinions of Enteros Inc. This blog may contain links to the content of third-party sites. By providing such links, Enteros Inc. does not adopt, guarantee, approve, or endorse the information, views, or products available on such sites.
Are you interested in writing for Enteros’ Blog? Please send us a pitch!
RELATED POSTS
How to Modernize Financial Infrastructure with Enteros AIOps Platform and Cloud FinOps Intelligence
- 12 March 2026
- Database Performance Management
Introduction The financial sector is undergoing a profound digital transformation. Banks, fintech platforms, payment networks, insurance providers, and investment firms increasingly rely on digital infrastructure to deliver services at scale. From real-time payments and digital banking to fraud detection and AI-driven financial analytics, modern financial institutions operate within highly complex data ecosystems. At the core … Continue reading “How to Modernize Financial Infrastructure with Enteros AIOps Platform and Cloud FinOps Intelligence”
How Healthcare Platforms Improve Cost Attribution with Enteros Database Management, GenAI, and Agentic AI
Introduction The healthcare industry is rapidly transforming through digital innovation. Hospitals, healthcare networks, pharmaceutical companies, and health technology platforms increasingly rely on advanced digital infrastructure to deliver efficient, data-driven care. Electronic health records, telemedicine platforms, medical imaging systems, insurance processing tools, and healthcare analytics platforms all depend on large-scale data environments. Behind these digital systems … Continue reading “How Healthcare Platforms Improve Cost Attribution with Enteros Database Management, GenAI, and Agentic AI”
What Drives Growth in Technology Platforms: Enteros AI SQL, Database Management, and Performance Metrics
- 11 March 2026
- Database Performance Management
Introduction Technology platforms have become the backbone of the modern digital economy. From SaaS products and cloud-native applications to AI-powered analytics and global digital marketplaces, technology enterprises rely on robust infrastructure to deliver reliable, scalable services to millions of users. At the center of these digital ecosystems lies one of the most critical components of … Continue reading “What Drives Growth in Technology Platforms: Enteros AI SQL, Database Management, and Performance Metrics”
How to Modernize Fashion Data Platforms with Enteros Database Management and Generative AI
Introduction The global fashion industry has transformed dramatically in the digital era. Once driven primarily by seasonal collections and physical retail, fashion brands today rely heavily on digital platforms, e-commerce marketplaces, data analytics, and AI-powered customer experiences. From trend forecasting and inventory management to real-time customer engagement, modern fashion businesses are powered by complex data … Continue reading “How to Modernize Fashion Data Platforms with Enteros Database Management and Generative AI”