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 primary key

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

Modernizing Insurance IT: Enteros’ AIOps-Driven Performance Management for High-Velocity SaaS Database Environments

  • 18 November 2025
  • Database Performance Management

    Introduction The insurance industry is undergoing one of the most significant digital transformations of the modern era. Carriers, brokers, underwriting firms, and claims-processing companies are rapidly migrating to SaaS platforms, cloud-native applications, digital underwriting engines, and AI-driven risk assessment tools. This shift is fueled by rising customer expectations, evolving regulatory requirements, and the pressure to … Continue reading “Modernizing Insurance IT: Enteros’ AIOps-Driven Performance Management for High-Velocity SaaS Database Environments”

    Continue Reading

    Driving Banking Agility: How Enteros Enhances Cloud FinOps Governance Through an Intelligent Observability Platform

    • Database Performance Management

      Introduction The banking and financial services industry (BFSI) is experiencing rapid digital acceleration as institutions migrate core services to the cloud, modernize infrastructure, and adopt real-time analytics for risk, compliance, payment processing, and customer experience. With this shift, cloud complexity and data volume have grown exponentially, introducing new challenges around system performance, operational visibility, and … Continue reading “Driving Banking Agility: How Enteros Enhances Cloud FinOps Governance Through an Intelligent Observability Platform”

      Continue Reading

      Driving Retail Operational Excellence: How Enteros Uses Cost Estimation and Attribution to Elevate Performance Management

      • 17 November 2025
      • Database Performance Management

        Introduction The modern retail landscape is undergoing a massive digital and operational restructuring. With e-commerce expansion, omnichannel platforms, dynamic inventory environments, and complex supply chains, retailers today manage more data than ever before. Every transaction, promotion, logistics event, customer interaction, and product movement contributes to a growing volume of operational data—data that must be optimized, … Continue reading “Driving Retail Operational Excellence: How Enteros Uses Cost Estimation and Attribution to Elevate Performance Management”

        Continue Reading

        Advancing Healthcare Efficiency: How Enteros Combines AIOps, Cost Estimation, and Database Performance Intelligence to Transform Healthcare Operations

        • Database Performance Management

          Introduction The healthcare sector is undergoing a seismic transformation driven by the rapid adoption of digital technologies, SaaS platforms, AI analytics, and cloud-first strategies. Electronic Health Records (EHR), telemedicine platforms, patient engagement applications, diagnostic AI systems, and connected medical devices all contribute to an ecosystem that generates vast amounts of real-time data. While this digital … Continue reading “Advancing Healthcare Efficiency: How Enteros Combines AIOps, Cost Estimation, and Database Performance Intelligence to Transform Healthcare Operations”

          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 © 2025 | Enteros, Inc. All Rights Reserved

          🎉 Thank you for subscribing!

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