Preamble
Oracle/PLSQL LNNVL function is used in the WHERE SQL query sentence to evaluate the state when one of the operands may contain the value NULL.
Oracle/PLSQL syntax of LNNVL function
LNNVL( condition_id )
The LNNVL function will return to the following:
| The condition is assessed as | LNNVL will return the value |
| TRUE | FALSE |
| FALSE | TRUE |
| UNKNOWN | TRUE |
So, if we had two columns called qty and reorder_level, where qty = 20 and reorder_level IS NULL, the function LNNVL would return the following:
| Condition | The condition is assessed as | LNNVL will return the value |
| qty = reorder_level | UNKNOWN | TRUE |
| qty IS NULL | FALSE | TRUE |
| reorder_level IS NULL | TRUE | FALSE |
| qty = 20 | TRUE | FALSE |
| reorder_level = 20 | UNKNOWN | TRUE |
LNNVL function in the following versions of Oracle/PLSQL
Oracle 12c, Oracle 11g, Oracle 10g
The LNNVL function can be used in Oracle PLSQL.
Let’s have a look at an example. If we had a product table containing the following data:
| PROD_ID | QTY_ID | REORDER_LEVEL_ID |
| 1000 | 20 | NULL |
| 2000 | 15 | 8 |
| 3000 | 8 | 10 |
| 4000 | 12 | 6 |
| 5000 | 2 | 2 |
| 6000 | 4 | 5 |
And we wanted to find all the products whose QTY was below REORDER_LEVEL, let’s run the next SQL query:
SELECT *
FROM prods
WHERE QTY < REORDER_LEVEL;
The request will return the following result:
| PROD_ID | QTY_ID | REORDER_LEVEL_ID |
| 3000 | 8 | 10 |
| 6000 | 4 | 5 |
However, if we wanted to consider products that were lower than REORDER_LEVEL and REORDER_LEVEL had the value NULL, we would use the function LNNVL as follows:
SELECT *
FROM prods
WHERE LNNVL(QTY >= REORDER_LEVEL);
This will return the next result:
| PROD_ID | QTY_ID | REORDER_LEVEL_ID |
| 1000 | 20 | NULL |
| 3000 | 8 | 10 |
| 6000 | 4 | 5 |
In this example, the resulting set also contains prod_id 1000, which has REORDER_LEVEL NULL.
LNNVL FUNCTION IN ORACLE SQL
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
Cloud FinOps for Healthcare: How Enteros Database Software and AI SQL Drive RevOps Efficiency
- 19 March 2026
- Database Performance Management
Introduction The healthcare industry is undergoing a rapid digital transformation driven by electronic health records (EHRs), telemedicine, AI-powered diagnostics, patient engagement platforms, and real-time data analytics. Hospitals, healthcare providers, and life sciences organizations are increasingly relying on data-intensive applications and cloud-based infrastructure to deliver high-quality care and operational efficiency. At the heart of these systems … Continue reading “Cloud FinOps for Healthcare: How Enteros Database Software and AI SQL Drive RevOps Efficiency”
Database Optimization for Finance: How Enteros AI SQL and AIOps Enable Cloud FinOps Efficiency
Introduction The financial sector is undergoing a profound digital transformation driven by cloud adoption, real-time data processing, AI-powered analytics, and customer-centric digital services. From online banking and trading platforms to fraud detection systems and regulatory reporting engines, modern financial institutions depend heavily on high-performance database environments. As these systems scale, they introduce a dual challenge:How … Continue reading “Database Optimization for Finance: How Enteros AI SQL and AIOps Enable Cloud FinOps Efficiency”
Cost Attribution for Marketing Platforms: How Enteros AI SQL and AIOps Deliver Data Intelligence
- 18 March 2026
- Database Performance Management
Introduction The marketing sector has evolved into one of the most data-intensive domains in modern business. From digital advertising and customer segmentation to real-time personalization and omnichannel campaigns, marketing platforms today rely on complex technology ecosystems powered by massive volumes of data. Every click, impression, conversion, and interaction generates data that must be processed, analyzed, … Continue reading “Cost Attribution for Marketing Platforms: How Enteros AI SQL and AIOps Deliver Data Intelligence”
How Media Platforms Optimize Growth Management with Enteros Performance Management and Cost Attribution
Introduction The media industry has undergone a massive transformation in the past decade. From traditional broadcasting to digital-first ecosystems, media platforms now operate in a world driven by streaming services, real-time content delivery, personalized recommendations, and global audience engagement. Whether it’s video streaming, music platforms, online publishing, or digital advertising networks, modern media organizations rely … Continue reading “How Media Platforms Optimize Growth Management with Enteros Performance Management and Cost Attribution”