Preamble
PostgreSQL SELECT LIMIT statement is used to extract records from one or more tables in PostgreSQL and limit the number of records to be returned based on the Limit limit.
Syntax for SELECT LIMIT in PostgreSQL
SELECT_id
FROM tabs
[WHERE conds]
[ORDER BY expression_id [ ASC | DESC ]].
LIMIT row_count;
Parameters and arguments of the statement
- expressions_id – The table or calculations that you want to get.
- tabs – The tables from which you want to get the records. The FROM operator must specify at least one table.
- WHERE conds – Optional. The conditions that must be met for the entries to be selected.
- ORDER BY expression_id – Optional. It is used in the SELECT LIMIT operator so that you can organize the results and select the records you want to return.
- LIMIT row_count – Sets a limited number of rows in the result set to be returned based on row_count. For example, LIMIT 10 will return the first 10 rows that meet the SELECT criteria. This is where the sort order is important, so be sure to use the ORDER BY operator.
Use the keyword LIMIT
Let’s see how to use the SELECT statement with LIMIT in PostgreSQL.
For example:
SELECT order_id, quantity, price
FROM order_details
WHERE website = 'Google.com'.
ORDER BY order_id DESC
LIMIT 8;
In this PostgreSQL example, SELECT LIMIT will select the first 8 entries from the order_details table, where the website is ‘Google.com’. Note that the results are sorted by order_id in descending order, so this means that the 8 largest order_id values will be returned by SELECT LIMIT.
If there are other entries in the order_details table with the value ‘Google.com’, they will not be returned by the SELECT LIMIT operator in PostgreSQL.
If we wanted to select the 8 smallest order_id values instead of the largest, we could change the sort order as follows:
SELECT order_id, quantity, price
FROM order_details
WHERE website = 'Google.com'.
ORDER BY order_id ASC
LIMIT 8;
Now the results will be sorted by order_id in ascending order, so the first 8 smallest order_id records that have a website – ‘Google.com’, will be returned by this operator SELECT LIMIT. No other entries will be returned by this request.
SQL Limit Clause
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
Cloud FinOps for Healthcare: How Enteros Database Software and AI SQL Drive RevOps Efficiency
- 19 March 2026
- Database Performance Management
Introduction The healthcare industry is undergoing a rapid digital transformation driven by electronic health records (EHRs), telemedicine, AI-powered diagnostics, patient engagement platforms, and real-time data analytics. Hospitals, healthcare providers, and life sciences organizations are increasingly relying on data-intensive applications and cloud-based infrastructure to deliver high-quality care and operational efficiency. At the heart of these systems … Continue reading “Cloud FinOps for Healthcare: How Enteros Database Software and AI SQL Drive RevOps Efficiency”
Database Optimization for Finance: How Enteros AI SQL and AIOps Enable Cloud FinOps Efficiency
Introduction The financial sector is undergoing a profound digital transformation driven by cloud adoption, real-time data processing, AI-powered analytics, and customer-centric digital services. From online banking and trading platforms to fraud detection systems and regulatory reporting engines, modern financial institutions depend heavily on high-performance database environments. As these systems scale, they introduce a dual challenge:How … Continue reading “Database Optimization for Finance: How Enteros AI SQL and AIOps Enable Cloud FinOps Efficiency”
Cost Attribution for Marketing Platforms: How Enteros AI SQL and AIOps Deliver Data Intelligence
- 18 March 2026
- Database Performance Management
Introduction The marketing sector has evolved into one of the most data-intensive domains in modern business. From digital advertising and customer segmentation to real-time personalization and omnichannel campaigns, marketing platforms today rely on complex technology ecosystems powered by massive volumes of data. Every click, impression, conversion, and interaction generates data that must be processed, analyzed, … Continue reading “Cost Attribution for Marketing Platforms: How Enteros AI SQL and AIOps Deliver Data Intelligence”
How Media Platforms Optimize Growth Management with Enteros Performance Management and Cost Attribution
Introduction The media industry has undergone a massive transformation in the past decade. From traditional broadcasting to digital-first ecosystems, media platforms now operate in a world driven by streaming services, real-time content delivery, personalized recommendations, and global audience engagement. Whether it’s video streaming, music platforms, online publishing, or digital advertising networks, modern media organizations rely … Continue reading “How Media Platforms Optimize Growth Management with Enteros Performance Management and Cost Attribution”