Preamble
The Oracle/PLSQL EXTRACT function extracts a value from a date or interval value.
Oracle/PLSQL syntax of EXTRACT function
EXTRACT (
{ YEAR | MONTH | DAY | HOUR | MINUTE | SECOND }
| { TIMEZONE_HOUR | TIMEZONE_MINUTE }
| { TIMEZONE_REGION | TIMEZONE_ABBR }
FROM { date_value | interval_value } )
The EXTRACT function returns a numeric value when the following parameters are provided: YEAR, MONTH, DAY, HOUR, MINUTE, SECOND, TIMEZONE_HOUR, TIMEZONE_MINUTE, TIMEZONE_REGION, TIMEZONE_MINUTE.
- Function EXTRACT returns VARCHAR2 when parameters TIMEZONE_REGION or TIMEZONE_ABBR are provided (because time zone name or abbreviation information is returned).
- You can only extract YEAR, MONTH, and DAY from the date.
- You can only extract TIMEZONE_HOUR and TIMEZONE_MINUTE from date/time with time zone data type.
EXTRACT function can be used in the following versions of Oracle/PLSQL
|
Oracle 12c, Oracle 11g, Oracle 10g, Oracle 9i
|
Let’s consider some examples of EXTRACT function and learn how to use EXTRACT function in Oracle.
SELECT EXTRACT (YEAR FROM DATE '2019-08-22') FROM DUAL;
--Result: 2019
SELECT EXTRACT (MONTH FROM DATE '2019-08-22') FROM DUAL;
--Result: 8
SELECT EXTRACT (DAY FROM DATE '2019-08-22') FROM DUAL;
--Result: 22
SQL: Extract function
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
From Performance to Profitability: Enteros Database Intelligence for Real Estate Enterprises
- 8 February 2026
- Database Performance Management
Introduction The real estate sector has undergone a dramatic transformation over the past decade. What was once an asset-heavy, relationship-driven industry is now deeply digital, data-intensive, and platform-centric. Property listing portals, smart building platforms, tenant experience apps, valuation engines, AI-driven pricing models, IoT-enabled facilities management systems, and digital transaction platforms all rely on complex, always-on … Continue reading “From Performance to Profitability: Enteros Database Intelligence for Real Estate Enterprises”
Running Retail on Data: How Enteros Transforms Database Performance Management
Introduction Retail has evolved far beyond physical stores and point-of-sale systems. Today’s retail enterprises operate complex, always-on digital ecosystems that span e-commerce platforms, mobile apps, omnichannel order management, supply chain systems, loyalty programs, personalization engines, and real-time analytics. Every product search, cart update, inventory check, price change, promotion, and payment depends on high-performing databases working … Continue reading “Running Retail on Data: How Enteros Transforms Database Performance Management”
Scaling Digital Banking with Confidence: AI SQL and Performance Intelligence by Enteros
- 5 February 2026
- Database Performance Management
Introduction Digital banking has moved from being a competitive differentiator to a baseline expectation. Customers now demand real-time payments, instant account access, personalized financial insights, always-on mobile experiences, and seamless digital onboarding—without delays, downtime, or friction. Behind these experiences lies an increasingly complex technology foundation. Core banking modernization, cloud-native digital platforms, open banking APIs, AI-powered … Continue reading “Scaling Digital Banking with Confidence: AI SQL and Performance Intelligence by Enteros”
Turning Database Performance into Revenue Intelligence: Enteros for US Financial Enterprises
Introduction In the US financial services market, technology performance is no longer just an IT concern—it is a direct driver of revenue, customer trust, and competitive advantage. Banks, fintechs, capital markets firms, insurers, and payments providers all operate in an environment defined by real-time transactions, digital-first customer expectations, regulatory scrutiny, and relentless pressure to improve … Continue reading “Turning Database Performance into Revenue Intelligence: Enteros for US Financial Enterprises”