Preamble
In Oracle PL/SQL, the COUNT method is a function that returns the number of items in a collection (ignoring the deleted items even if DELETE stores fillers for them).
Syntax of COUNT collection method in Oracle PL/SQL
collection_name.COUNT;
Parameters or arguments
- collection_name – the name of the collection.
- COUNT – returns the number of elements in the collection.
Consider some examples to understand how to use the COUNT collection method in Oracle PL/SQL.
For Varray COUNT, it is always LAST. If you increase or decrease the size of Varray (using the EXTEND or TRIM method), the value of COUNT will be changed.
The example below shows the COUNT and LAST values for Varray after initialization by four elements after EXTEND (3) and after TRIM (5).
DECLARE
TYPE NumList IS VARRAY(10) OF INTEGER;
n NumList := NumList(1,3,5,7);
PROCEDURE print_count_and_last IS
BEGIN
DBMS_OUTPUT.PUT('n.COUNT = ' || n.COUNT || ', ');
DBMS_OUTPUT.PUT_LINE('n.LAST = ' || n.LAST);
END print_count_and_last;
BEGIN
print_count_and_last;
n.EXTEND(3);
print_count_and_last;
n.TRIM(5);
print_count_and_last;
END;
Result:
n.COUNT = 4, n.LAST = 4
n.COUNT = 7, n.LAST = 7
n.COUNT = 2, n.LAST = 2
COUNT method for Nested Tables
For Nested Tables, COUNT is LAST unless you remove items from the middle of the Nested Tables, in which case COUNT is less than LAST.
The example below shows the COUNT and LAST values for Nested Tables after four elements are initialized, after the third element is removed, and after two zero elements are added to the end. The example shows the state of elements 1 to 8.
DECLARE
TYPE NumList IS TABLE OF INTEGER;
n NumList := NumList(1,3,5,7);
PROCEDURE print_count_and_last IS
BEGIN
DBMS_OUTPUT.PUT('n.COUNT = ' || n.COUNT || ', ');
DBMS_OUTPUT.PUT_LINE('n.LAST = ' || n.LAST);
END print_count_and_last;
BEGIN
print_count_and_last;
n.DELETE(3); -- Delete the third element
print_count_and_last;
n.EXTEND(2); -- Adds two zero elements to the end
print_count_and_last;
FOR i IN 1...8 LOOP
IF n.EXISTS(i) THEN
IF n(i) IS NOT NULL THEN
DBMS_OUTPUT.PUT_LINE('n(' || i || ') = ' || n(i));
ELSE
DBMS_OUTPUT.PUT_LINE('n(' || i || ') = NULL);
END IF;
ELSE
DBMS_OUTPUT.PUT_LINE('n(' || i || ') does not exist');
END IF;
END LOOP;
END;
Result:
n.COUNT = 4, n.LAST = 4
n.COUNT = 3, n.LAST = 4
n.COUNT = 5, n.LAST = 6
n(1) = 1
n(2) = 3
n(3) does not exist
n(4) = 7
n(5) = NULL
n(6) = NULL
n(7) does not exist
n(8) does not exist
PL/SQL tutorial: PL/SQL Collection Method COUNT 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 Optimize Logistics and Transportation Operations with Enteros Database Software, AI-Powered Analytics, and Database Observability
- 18 August 2026
- Database Performance Management
Introduction Logistics and transportation companies operate in an environment where timing, visibility, and data accuracy are critical. Every shipment, delivery, warehouse transaction, route update, fleet event, and customer interaction generates data. Modern logistics organizations rely on Transportation Management Systems (TMS), Warehouse Management Systems (WMS), ERP, fleet management, order management, customer portals, supply chain analytics, and … Continue reading “How to Optimize Logistics and Transportation Operations with Enteros Database Software, AI-Powered Analytics, and Database Observability”
Optimizing Banking Cloud Infrastructure with AIOps, FinOps, and Intelligent Database Analytics
Introduction Banking has become increasingly dependent on cloud infrastructure. Digital banking applications, mobile banking, payment gateways, loan platforms, fraud detection systems, customer portals, and real-time transaction services all rely on infrastructure that must deliver high performance around the clock. At the same time, banks face a difficult operational challenge: they must increase technology capacity without … Continue reading “Optimizing Banking Cloud Infrastructure with AIOps, FinOps, and Intelligent Database Analytics”
How AIOps and FinOps Reduce Cloud Costs While Improving Financial Application Performance
Introduction Financial applications operate in one of the most demanding digital environments. Banking platforms, payment gateways, digital wallets, lending applications, insurance systems, trading platforms, and financial services applications must process large transaction volumes while delivering fast, secure, and reliable experiences. As financial organizations move more workloads to cloud and hybrid environments, they gain scalability and … Continue reading “How AIOps and FinOps Reduce Cloud Costs While Improving Financial Application Performance”
How to Optimize Automotive Operations with Enteros Database Software, AI-Powered Analytics, and Database Observability
Introduction The automotive industry is transforming into a software- and data-driven ecosystem. Connected vehicles, electric vehicles, autonomous technologies, manufacturing automation, digital sales, predictive maintenance, and intelligent supply chains are creating unprecedented database workloads. Automotive organizations must connect vehicle data, manufacturing systems, customer platforms, suppliers, dealers, finance, and logistics. Enteros helps automotive organizations improve database performance … Continue reading “How to Optimize Automotive Operations with Enteros Database Software, AI-Powered Analytics, and Database Observability”