Preamble
Oracle REGEXP_LIKE function allows regular expressions in the WHERE sentence in SELECT, INSERT, UPDATE or DELETE queries.
Syntax for REGEXP_LIKE in Oracle/PLSQL
REGEXP_LIKE ( expression_id, pattern_id [, match_parameter _id] )
Parameters and function arguments
- expression – a symbolic expression such as a column or field. These can be the following data types: VARCHAR2, CHAR, NVARCHAR2, NCHAR, CLOB or NCLOB.
The pattern is a template. Regular expression for comparison. It can be a combination of the following values:
| Meaning | Description |
| ^ | Corresponds to the beginning of the line. When using match_parameter with ‘m’, it corresponds to the beginning of the string anywhere within the expression. |
| $ | Corresponds to the end of the line. When using match_parameter with ‘m’, it corresponds to the end of the string anywhere within the expression. |
| * | Corresponds to zero or more occurrences. |
| ? | Corresponds to one or more occurrences. |
| ? | Corresponds to zero or one entry. |
| . | Corresponds to any character except NULL. |
| | | Used as “OR” to specify more than one alternative. |
| [ ] | It is used to specify a list of matches where you try to match any of the characters in the list. |
| [^ ] | It is used to specify a nonmatching list where you try to match any character except for those on the list. |
| ( ) | Used for group expressions as subexpressions. |
| {m} | Corresponds m times. |
| {m,} | Matching at least m times. |
| {m,n} | Matching at least m times, but not more than n times. |
| \n | n is a number between 1 and 9. It corresponds to the n-th subexpression located in ( ) before \n. |
| [..] | Corresponds to a single element mappings that can be more than one character. |
| [::] | Meets the symbol class. |
| [==] | Corresponds to the class of equivalence. |
| \d | Corresponds to the digital symbol. |
| \D | Corresponds to a non-digital symbol. |
| \w | Corresponds to the text symbol. |
| \W | Corresponds to a non-text symbol. |
| \s | Corresponds to the space character. |
| \S | Doesn’t match the space character. |
| \A | Corresponds to the beginning of a line or corresponds to the end of a line before a new line character. |
| \Z | Corresponds to the end of the line. |
| *? | Corresponds to the previous pattern of zero or more occurrences. |
| +? | One or more entries correspond to the previous template. |
| ?? | Corresponds to the previous zero or one entry pattern. |
| {n}? | Corresponds to the previous template n times. |
| {n,}? | Corresponds to the previous template at least n times. |
| {n,m}? | Corresponds to the previous template at least n times, but not more than m times. |
- match_parameter_id – Optional. This allows you to change the compliance behavior for the REGEXP_LIKE condition. This can be a combination of the following values:
| Meaning | Description |
| ‘c’ | Performs register-sensitive alignment. |
| ‘i’ | Performs case insensitive alignment. |
| ‘n’ | Allows a character period (.) to match the character of a new string. By default, the metasymic period. |
| ‘m’ | The expression assumes that there are several lines where ^ is the beginning of a line and $ is the end of a line, regardless of the position of these characters in the expression. By default, the expression is assumed to be on the same line. |
| ‘x’ | The symbols of spaces are ignored. By default, the space characters are the same as any other character. |
Note:
- The condition REGEXP_LIKE uses an input character set for string evaluation.
- If you specify match_parameter as a conflict, the REGEXP_LIKE condition will use the last value to break the conflict.
- If match_parameter is omitted, the condition REGEXP_LIKE will use case sensitivity as defined by parameter NLS_SORT.
Example of matching with more than one alternative
The first Oracle example of the REGEXP_LIKE condition, which we will consider, involves using the | template.
Let us explain how | template works in Oracle condition REGEXP_LIKE. For example:
SELECT last_name
FROM contacts
WHERE REGEXP_LIKE (last_name, 'Anders(o|e|a)n');
This example REGEXP_LIKE returns all contacts whose last_name is either ‘Anderson’, ‘Andersen’ or ‘Andersan’. The | template indicates that the search should be done with an “o”, “e”, or “a”.
Example of a start match
Next, we use the condition REGEXP_LIKE to match the beginning of the string. For example:
SELECT last_name
FROM contacts
WHERE REGEXP_LIKE (last_name, '^A(*)');
This example REGEXP_LIKE returns all the contacts whose last_name starts with ‘A’.
Example of end matching
Next, we use the condition REGEXP_ LIKE to match the end of the string. For example:
SELECT last_name
FROM contacts
WHERE REGEXP_LIKE (last_name, '(*)n$');
This example REGEXP_LIKE will return all the contacts whose last_name ends in ‘n’.
SQL for Beginners; Oracle regular expression: REGEXP_LIKE
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 Enteros Enables High-Performance Retail Platforms Using AI SQL and GenAI
- 18 January 2026
- Database Performance Management
Introduction Retail has become one of the most data-intensive and performance-sensitive industries in the digital economy. From omnichannel commerce and real-time inventory visibility to personalized recommendations, dynamic pricing, loyalty platforms, and fraud prevention, modern retail experiences depend on complex software ecosystems powered by high-volume databases. Customers now expect instant search results, seamless checkout, personalized experiences, … Continue reading “How Enteros Enables High-Performance Retail Platforms Using AI SQL and GenAI”
How Enteros Enables High-Performance, Cost-Efficient Real Estate Technology Platforms
Introduction The real estate industry has evolved into a technology-driven business. From digital property listings and virtual tours to CRM systems, valuation models, transaction platforms, tenant portals, and analytics dashboards, modern real estate enterprises rely on complex software ecosystems powered by data-intensive databases. At the heart of these platforms lies a fundamental challenge: how to … Continue reading “How Enteros Enables High-Performance, Cost-Efficient Real Estate Technology Platforms”
Accurate Healthcare Cloud Cost Estimation with Enteros: An AIOps-Driven FinOps Approach
- 15 January 2026
- Database Performance Management
Introduction Healthcare organizations are undergoing rapid digital transformation. Electronic health records (EHRs), telemedicine platforms, AI-driven diagnostics, patient engagement portals, population health analytics, and regulatory reporting systems now form the backbone of modern healthcare delivery. At the center of all these innovations lies a complex, data-intensive cloud infrastructure powered by mission-critical databases. While cloud adoption has … Continue reading “Accurate Healthcare Cloud Cost Estimation with Enteros: An AIOps-Driven FinOps Approach”
Why Traditional Banking Database Optimization Falls Short, and How Enteros Fixes It with GenAI
Introduction Modern banking has become a real-time, always-on digital business. From core banking systems and payment processing to mobile apps, fraud detection, risk analytics, and regulatory reporting—every critical banking function depends on database performance. Yet while banking technology stacks have evolved dramatically, database optimization practices have not. Most banks still rely on traditional database tuning … Continue reading “Why Traditional Banking Database Optimization Falls Short, and How Enteros Fixes It with GenAI”