Preamble
In Oracle PL/SQL Varray (an array with variable size) is an array whose number of elements can vary from zero (empty) to the declared maximum size.
To access a Varray element, use the variable_name(index) syntax:
- The lower boundary of the index is 1; the upper boundary is the current number of elements.
- The upper limit changes when the elements are added or removed, but it cannot exceed the maximum size.
When you store and extract a varray from the database, its indexes and the order of the elements remain stable.
Syntax to define and then declare a Varrays type variable in Oracle PL/SQL
TYPE type_varray IS {VARRAY | VARYING ARRAY} (size_limit) OF element_type [NOT NULL];
v_arr type_varray;
Parameters and arguments of the array
- type_varray – name of type Varray
- element_type – any PL/SQL data type, except for REF CURSOR
- size_limit is a positive integer literal representing the maximum number of elements in the array.
- v_arr – the name of a variable of the Varray type
Note:
- When defining a Varray type, you must specify its maximum size.
An example of how to use Varray in Oracle PL/SQL
DECLARE
TYPE Foursome IS VARRAY(4) OF VARCHAR2(15); -- Varray type
-- is a varray variable initialized by the constructor:
team Foursome := Foursome('John', 'Mary', 'Alberto', 'Juanita');
PROCEDURE print_team (heading VARCHAR2) IS
BEGIN
DBMS_OUTPUT.PUT_LINE(heading);
FOR i IN 1..4 LOOP
DBMS_OUTPUT.PUT_LINE(i) || '.' || team(i));
END LOOP;
DBMS_OUTPUT.PUT_LINE('---');
END;
BEGIN
print_team('2001 Team:');
team(3) := 'Pierre'; -- Change the values of the two elements
team(4) := 'Yvonne';
print_team('2005 Team:');
-- Call the constructor to assign new values to the Varray variable:
team := Foursome('Arun', 'Amitha', 'Allan', 'Mae');
print_team('2009 Team:');
END;
As a result, we get:
2001 Team:
1.John
2.Mary
3.Alberto
4.Juanita
---
2005 Team:
1.John
2.Mary
3.Pierre
4.Yvonne
---
2009 Team:
1.Arun
2.Amitha
3.Allan
4.Mae
---
In this example we defined Foursome as a local Varray type, declared a team variable of this type (initialized by the constructor) and defined the print_team procedure which printed Varray. The example calls the procedure three times:
- after initializing the variable,
- after changing values of two elements separately,
- and after using the constructor to change the value of all elements.
Using Varray
Varray should be used when:
- You know the maximum number of elements.
- You access the elements in sequence.
- Since you must store or retrieve all elements simultaneously, Varray may not be practical for a large number of elements.
PL/SQL tutorial: VARRAYs in Oracle Database
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 Drive eCommerce Revenue Growth with Enteros Growth Management, RevOps Efficiency, and Cloud FinOps
- 8 April 2026
- Database Performance Management
Introduction The eCommerce sector has witnessed explosive growth over the past decade, fueled by digital transformation, mobile shopping, AI-driven personalization, and global online marketplaces. From startups to enterprise retailers, businesses are scaling rapidly to meet rising customer expectations for speed, convenience, and seamless experiences. However, this rapid growth introduces a critical challenge:how to increase revenue … Continue reading “How to Drive eCommerce Revenue Growth with Enteros Growth Management, RevOps Efficiency, and Cloud FinOps”
How to Drive Healthcare Sector Performance Growth with Enteros Database Management and AI SQL Optimization
Introduction The healthcare sector is undergoing a significant digital transformation driven by electronic health records (EHRs), telemedicine, AI-powered diagnostics, and real-time patient monitoring systems. Healthcare organizations are increasingly relying on data to deliver better patient outcomes, improve operational efficiency, and ensure regulatory compliance. However, with the exponential growth of healthcare data comes a major challenge:how … Continue reading “How to Drive Healthcare Sector Performance Growth with Enteros Database Management and AI SQL Optimization”
What to Know About Enteros Cost Attribution and AI Performance Management for Media Sector Growth with Generative AI
- 7 April 2026
- Database Performance Management
Introduction The media sector is undergoing a massive transformation fueled by digital streaming, real-time content delivery, AI-driven personalization, and data-intensive production workflows. From OTT platforms and digital publishing to gaming and broadcasting, media companies are handling enormous volumes of data while striving to deliver seamless user experiences. However, with this rapid growth comes a pressing … Continue reading “What to Know About Enteros Cost Attribution and AI Performance Management for Media Sector Growth with Generative AI”
How to Transform Financial Sector Operations with Enteros Database Management Platform, AIOps, and Cloud FinOps
Introduction The financial sector is undergoing rapid digital transformation driven by mobile banking, real-time payments, algorithmic trading, and AI-powered services. Financial institutions must deliver seamless, secure, and high-performance digital experiences while managing rising infrastructure costs and strict regulatory requirements. At the center of this transformation lies a critical challenge:how to optimize database performance, control cloud … Continue reading “How to Transform Financial Sector Operations with Enteros Database Management Platform, AIOps, and Cloud FinOps”