Preamble
The Oracle/PLSQL DUMP function returns a value of varchar2, which includes data type code, length in bytes, and the internal representation of the expression.
Oracle/PLSQL DUMP function syntax
DUMP( expression, [return_format_id], [start_position_id], [length_id] )
Parameters and function arguments
- expression – expression for analysis.
- return_format_id – is not obligatory. It defines the format of the returned value. This parameter can be any of the following values:
| Meaning | Description |
| 8 | octal notation |
| 10 | decimal notation |
| 16 | hexadecimal notation |
| 17 | single characters |
| 1008 | octal notation with the character set name |
| 1010 | decimal notation with the character set name |
| 1016 | hexadecimal notation with the character set name |
- start_position and length are optional. They determine which part of the internal view will be displayed. If these parameters are not specified, the DUMP function will show the entire internal representation of the decimal number system.
The DUMP function returns VARCHAR2.
If return_format, start_position and length parameters are omitted, the DUMP function will return the entire internal representation in decimal notation.
The DUMP function can be used in the following versions of Oracle/PLSQL
Oracle 12c, Oracle 11g, Oracle 10g, Oracle 9i, Oracle 8i
Let’s look at some examples of the DUMP function and learn how to use the DUMP function in Oracle PLSQL.
SQL> SELECT DUMP('abc') FROM DUAL;
--Result: Typ=96 Len=3: 97.98.99
SQL> SELECT DUMP('abc', 10) FROM DUAL;
--Result: Typ=96 Len=3: 97.98.99
SQL> SELECT DUMP('abc', 16) FROM DUAL;
--Result: Typ=96 Len=3: 61,62,63.
SQL> SELECT DUMP('abc', 1016) FROM DUAL;
--Result: Typ=96 Len=3 CharacterSet=CL8MSWIN1251: 61.62.63
SQL> SELECT DUMP('abc', 1017) FROM DUAL;
--Result: Typ=96 Len=3 CharacterSet=CL8MSWIN1251: a,b,c
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 Aerospace and Defense Operations with Enteros Database Software, Database Observability, and AI-Powered Analytics
- 26 July 2026
- Database Performance Management
Introduction The aerospace and defense (A&D) industry operates some of the world’s most sophisticated and mission-critical technology environments. Aircraft manufacturers, defense contractors, space organizations, satellite operators, maintenance providers, and government defense agencies manage enormous volumes of engineering, manufacturing, logistics, operational, and security data every day. From aircraft design and production to fleet maintenance, mission planning, … Continue reading “How to Optimize Aerospace and Defense Operations with Enteros Database Software, Database Observability, and AI-Powered Analytics”
How to Optimize Automotive Manufacturing with Enteros Database Software, AI-Powered Analytics, and Operational Intelligence
Introduction The automotive industry is undergoing its most significant transformation in decades. Traditional vehicle manufacturing is rapidly evolving with electric vehicles (EVs), autonomous driving technologies, connected cars, smart factories, robotics, Industrial Internet of Things (IIoT), artificial intelligence (AI), and cloud computing. Automotive manufacturers and suppliers must manage increasingly complex operations while maintaining production efficiency, product … Continue reading “How to Optimize Automotive Manufacturing with Enteros Database Software, AI-Powered Analytics, and Operational Intelligence”
How AI-Powered Database Observability Strengthens Enterprise Cyber Resilience
Introduction Cyberattacks have evolved dramatically over the past decade. Modern enterprises face increasingly sophisticated ransomware attacks, insider threats, supply chain compromises, credential theft, and advanced persistent threats (APTs). As organizations continue adopting cloud-native architectures, hybrid environments, and distributed applications, protecting enterprise databases has become one of the highest cybersecurity priorities. Databases store an organization’s most … Continue reading “How AI-Powered Database Observability Strengthens Enterprise Cyber Resilience”
How Database Observability and AIOps Work Together to Improve Business Continuity
- 24 July 2026
- Software Engineering
Introduction In today’s digital-first economy, business continuity depends heavily on the availability, reliability, and performance of enterprise applications. Organizations across banking, financial services, healthcare, education, retail, telecommunications, SaaS, and e-commerce rely on complex technology ecosystems where databases serve as the foundation for critical operations. Every customer transaction, online service request, healthcare record update, financial operation, … Continue reading “How Database Observability and AIOps Work Together to Improve Business Continuity”