Fraud Blocker
  • Solution
    • Solution
      • Enteros – SaaS Database Solution
      • Enteros – Expert Services
    • Use Cases
      • DevOps
      • Monitoring Business Performance
      • IT Production Operations
      • Cloud Migration and Scaling
      • Continuous Delivery
      • NoSQL / MongoDB / Cassandra
    • Industries
      • Insurance
      • Social Media & Entertainment
      • Government
      • Financial Services
      • Healthcare
      • Retail
      • Telecom
    • Roles
      • IT Production Operations
      • CIO
      • Engineering Manager
      • CFO
  • Product
    • UpBeat
      • Database Performance Management SaaS
    • UpBeat Platform
      • Cloud Cost Waste Analyzer (vCore & Credit Optimization)
      • AiOps DB Analytical Engine for Anomaly and Root Causes Detection
      • Deep Workload Diagnostics for Oracle Systems
      • Remediation Engine for Oracle Infrastractures
      • UpBeat Labs
    • DPMDPM is an innovative platform for IT production database performance management. The first of its kind, DPM provides decision support for each stage of the performance problem lifecycle
      • Learn more
  • Company
    •  About
      • Overview
      • Contact Us
      • Support
      • Partners
      • Careers
      • News
      • Blog
      • Management
    • Feature articleNPMD solutions play a key role in helping IT ops support increasingly complex technologies and services with network visibility, detection of performance issues and root cause analysis
      • Read more
    •  
  • Search
  • See Demo
  • Contact
(408) 824-1292

Oracle Varrays.

See Live Demo Start Free Trial

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

Read morePostgreSQL CREATE USER statement

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

Read morePostgreSQL DROP TABLE statement

-- 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);

Read morePostgreSQL condition OR

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 Autonomous Database Performance Management Is Shaping the Future of Enterprise IT

  • 31 July 2026
  • Software Engineering

    Introduction Enterprise IT environments are undergoing a major transformation as organizations adopt cloud-native applications, artificial intelligence, automation, and distributed architectures. Databases remain at the center of this transformation, powering critical business operations across industries such as banking, financial services, healthcare, retail, telecommunications, education, and SaaS. However, managing enterprise databases has become increasingly complex. Modern applications … Continue reading “How Autonomous Database Performance Management Is Shaping the Future of Enterprise IT”

    Continue Reading

    How to Optimize Food and Beverage Manufacturing with Enteros Database Software, AI-Powered Analytics, and Database Observability

    • Database Performance Management

      Introduction The food and beverage manufacturing industry operates in one of the most competitive and highly regulated environments in the world. Manufacturers must consistently produce safe, high-quality products while meeting strict regulatory requirements, managing complex global supply chains, controlling production costs, minimizing waste, and responding quickly to changing consumer demand. Today’s food and beverage companies … Continue reading “How to Optimize Food and Beverage Manufacturing with Enteros Database Software, AI-Powered Analytics, and Database Observability”

      Continue Reading

      The Business Benefits of Combining Database Observability with Cloud FinOps

      • Software Engineering

        Introduction Cloud adoption has transformed how enterprises build, deploy, and scale modern applications. Organizations across banking, financial services, healthcare, retail, telecommunications, education, and SaaS industries are increasingly relying on cloud platforms to support mission-critical workloads, real-time analytics, and customer-facing digital services. However, as cloud environments become more complex, organizations face a growing challenge: maintaining database … Continue reading “The Business Benefits of Combining Database Observability with Cloud FinOps”

        Continue Reading

        How to Optimize Smart City Infrastructure with Enteros Database Software, Operational Intelligence, and AI-Powered Analytics

        • Database Performance Management

          Introduction Smart cities are transforming how governments deliver public services, manage infrastructure, improve sustainability, and enhance the quality of life for citizens. From intelligent traffic management and public transportation to smart utilities, public safety, environmental monitoring, healthcare, and citizen services, every aspect of a smart city relies on real-time data generated from thousands of interconnected … Continue reading “How to Optimize Smart City Infrastructure with Enteros Database Software, Operational Intelligence, and AI-Powered Analytics”

          Continue Reading

          Company

          • Production Database Performance Management
          • Enteros Professional Expert Services
          • NoSQL
          • Contact Us

          Solutions

          • DevOps
          • IT Production Operations
          • CFO: Maximize Financial Efficiency with Augmented FinOps
          • Engineering Manager
          • Retail

          UpBeat SaaS

          • Performance Explorer-i – Oracle Database Performance Management
          • High Load Capture – High Precision Database Performance Management
          • DBAct
          • Grid2Go – Advanced Database Analysis
          • Load2Test for Databases

          Resources

          • Verticals
          • Case Studies
          • UpBeat Access
          • UpBeat Documentation
          • Privacy Policy
          • Terms of Service

          Connect with Us

          Copyright © 2026 | Enteros, Inc. All Rights Reserved

          🎉 Thank you for subscribing!

          You're now on the list for database FinOps strategies and performance insights.