Preamble
The Oracle/PLSQL LENGTH function returns the length of the specified string.
Syntax of the Oracle/PLSQL LENGTH function
LENGTH( string1_id )
Parameters and function arguments
- string1_id – string whose length the function returns. string1 can be CHAR, VARCHAR2, NCHAR, NVARCHAR2, CLOB, or NCLOB.
The LENGTH function returns a numeric value.
If string1 is NULL, the LENGTH function will return NULL.
The LENGTH function can be used in the following versions of Oracle/PLSQL
|
Oracle 12c, Oracle 11g, Oracle 10g, Oracle 9i, Oracle 8i
|
Let’s consider some examples of the LENGTH function and learn how to use the LENGTH function in Oracle PLSQL.
SQL> SELECT LENGTH(NULL) FROM DUAL;
--Result: NULL
SQL> SELECT LENGTH('') FROM DUAL;
--Result: NULL
SQL> SELECT LENGTH(' ') FROM DUAL;
--Result: 1
SQL> SELECT LENGTH('1') FROM DUAL;
--Result: 1
SQL> SELECT LENGTH('Antiquities Shop') FROM DUAL;
--Result: 16
SQL> SELECT LENGTH('Antiquities Shop ') FROM DUAL;
--Result: 17
Tutorial: How to find the length of column in Oracle SQL – Length 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
Driving Smarter Healthcare IT Operations with AIOps, FinOps, and Database Observability
- 19 August 2026
- Software Engineering
Introduction Healthcare organizations are undergoing a major digital transformation. Electronic health records (EHRs), patient portals, telehealth platforms, healthcare insurance systems, clinical applications, medical imaging, digital pharmacies, revenue-cycle platforms, and data-driven decision systems now depend on complex IT infrastructure. As healthcare becomes increasingly digital, IT teams face a difficult challenge: maintaining reliable, high-performance applications while controlling … Continue reading “Driving Smarter Healthcare IT Operations with AIOps, FinOps, and Database Observability”
How to Optimize Media and Entertainment Operations with Enteros Database Software, AI-Powered Analytics, and Database Observability
Introduction Media and entertainment organizations increasingly depend on digital platforms for streaming, publishing, advertising, subscriptions, content management, audience analytics, and personalization. Every stream, subscription, content search, advertisement, recommendation, and customer interaction depends on databases. Enteros helps media companies optimize these environments through Database Observability, AI-powered Analytics, SQL Performance Intelligence, Operational Intelligence, Predictive Analytics, Root Cause … Continue reading “How to Optimize Media and Entertainment Operations with Enteros Database Software, AI-Powered Analytics, and Database Observability”
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”