Preamble
PostgreSQL INSERT statement is used to insert one or more records into a table in PostgreSQL.
The syntax for the INSERT statement
The syntax for PostgreSQL INSERT statement when inserting a record(s) using VALUES keyword
INSERT INTO table
(column1, column2,... )
VALUES
(expression1 | DEFAULT, expression2 | DEFAULT,... ),
(expression1 | DEFAULT, expression2 | DEFAULT,... ),
…;
Or:
The syntax for INSERT statement when inserting a single record using the DEFAULT VALUES keyword in PostgreSQL
INSERT INTO table
(column1, column2,... )
DEFAULT VALUES;
Or:
The syntax for INSERT statement when inserting multiple records using a subquery in PostgreSQL
INSERT INTO table
(column1, column2,... )
SELECT expression1, expression2,...
FROM source_table
[WHERE conditions];
Parameters and arguments of the statement
- table – A table for inserting records.
- column1, column2 – Columns in the table for inserting values.
- expression1 | DEFAULT, expression2 | DEFAULT – Used in the first syntax. These values are assigned to the columns in the table. If expression1 is specified then column1 will be assigned the value expression1, column2 will be assigned the value expression2, and so on. If DEFAULT is specified then the corresponding column will be filled with the default value.
- DEFAULT VALUES – Used in the second syntax. All columns will be filled with their default values.
- source_table – To be used in the third syntax. This is the source table when inserting data from another table.
- WHERE conditions – Optional. Used in the third syntax. These are the conditions that must be met to insert the records.
Note:
- When inserting records into a table using PostgreSQL, the INSERT operator must specify the value for each column NOT NULL.
- You can omit a column in PostgreSQL operator INSERT if the column allows NULL values.
Example using VALUES keyword
The easiest way to create a PostgreSQL INSERT query to get a list of values using the VALUES keyword.
For example:
INSERT INTO contacts
(contact_id, last_name, first_name, country)
VALUES
(250, 'Abramova', 'Irina', DEFAULT);
This PostgreSQL statement INSERT will cause a single record to be inserted into the contacts table. This new record will have contact_id 250, last_name ‘Abramova’, first_name ‘Irina’, and any default value for the country field.
You can use the above syntax to insert more than one record at a time.
For example:
INSERT INTO contacts
(contact_id, last_name, first_name, country)
VALUES
(250, 'Abramova', 'Irina', DEFAULT),
(251, 'Arbatova', 'Vitalina', 'Russia');
This PostgreSQL operator INSERT will insert two records into the contacts table. The first record will have contact_id 250, last_name ‘Abramova’, first_name ‘Irina’ and any default value for the country field . The second entry will have contact_id 251, last_name ‘Arbatova’, first_name ‘Vitalina’ and country ‘Russia’.
This will be equivalent to the next two INSERT operators:
INSERT INTO contacts
(contact_id, last_name, first_name, country)
VALUES
(250, 'Abramova', 'Irina', DEFAULT);
INSERT INTO contacts
(contact_id, last_name, first_name, country)
VALUES
(251, 'Arbatova', 'Vitalina', 'Russia');
Example using the DEFAULT VALUES keyword
In PostgreSQL, you can also insert a record into a table using DEFAULT VALUES syntax.
For example:
INSERT INTO contacts
(contact_id, last_name, first_name, country)
DEFAULT VALUES;
This PostgreSQL statement INSERT will cause one record to be inserted into the contacts table. This new record will be created with default values for the fields contact_id, last_name, first_name, and country.
Example using a subquery
You can also create more complex PostgreSQL statements INSERT using subqueries.
For example:
INSERT INTO contacts
(last_name, first_name)
SELECT last_name, first_name
FROM customers
WHERE customer_id > 3500;
By placing the SELECT operator in the INSERT operator, you can quickly perform several insertion operations.
With this type of insertion, you can check the number of lines to be inserted. You can define the number of rows to be inserted by executing the next PostgreSQL SELECT operator before inserting it.
SELECT count(*)
FROM customers
WHERE customer_id > 3500;
PostgreSQL: Insert Into | Course
About Enteros
Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of clouds, RDBMS, NoSQL, and machine learning database platforms.
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 Enable Intelligent Wealth Growth with Enteros Database Analytics, RevOps Automation, and Gen AI
- 24 June 2026
- Software Engineering
Introduction Wealth management and investment organizations are entering a new era defined by data-driven decision-making, AI-powered advisory systems, and highly automated operational environments. As client expectations grow and financial markets become more dynamic, firms must continuously improve performance, efficiency, and personalization to remain competitive. Modern wealth organizations now operate complex ecosystems that include: Portfolio management … Continue reading “How to Enable Intelligent Wealth Growth with Enteros Database Analytics, RevOps Automation, and Gen AI”
How to Improve Financial Cost Visibility with Enteros Database Management Platform and Cost Attribution Analytics
Introduction The financial services industry is rapidly evolving as banks, insurance companies, fintech platforms, and investment firms modernize their digital infrastructure to support real-time transactions, data-driven decision-making, and highly personalized customer experiences. Modern financial organizations operate complex ecosystems that include: Core banking systems Digital payment platforms Investment and trading systems Risk management applications Fraud detection … Continue reading “How to Improve Financial Cost Visibility with Enteros Database Management Platform and Cost Attribution Analytics”
How AI-Driven Database Monitoring Enhances Business Continuity and Resilience
In today’s always-on digital economy, business continuity and operational resilience have become essential for enterprise success. Organizations depend heavily on digital systems to support customer interactions, financial transactions, supply chain operations, analytics, internal workflows, and real-time decision-making. Any disruption to these systems can lead to significant financial loss, operational inefficiencies, and reputational damage. At the … Continue reading “How AI-Driven Database Monitoring Enhances Business Continuity and Resilience”
Reducing Application Latency with Intelligent Database Performance Management
In today’s digital economy, application speed is directly tied to business success. Whether users are shopping online, using banking applications, streaming content, accessing SaaS platforms, or interacting with enterprise systems, they expect fast and seamless experiences. Even minor delays can impact user satisfaction, engagement, and revenue. Application latency has become one of the most important … Continue reading “Reducing Application Latency with Intelligent Database Performance Management”