Preamble
Oracle condition LIKE allows to use wildcards which will be used in WHERE operator in SELECT, INSERT, UPDATE or DELETE queries. This allows comparison with a pattern.
LIKE syntax in Oracle/PLSQL
expression LIKE pattern [ ESCAPE 'escape_character' ]
Parameters and arguments of the condition
- expression – a symbolic expression, such as a field or a column.
- pattern – A symbolic expression that contains a pattern matching. pattern that you can choose:
| wildcard symbol | explanatory note |
| % | Corresponds to any string of any length (including zero length) |
| _ | Meets one symbol |
- escape_character – Optional. Allows checking for literals of wildcards, such as % or _.
Example of % usage (percentage symbol)
The first Oracle example of the LIKE operator that we will look at involves the use of the % wildcard.
Let’s look at how % works in Oracle of the LIKE operator. We want to find all the customers whose last_name starts with ‘Ar’.
SELECT last_name
FROM customers
WHERE last_name LIKE 'Ap%';
You can also use multiple % characters within a single line.
For example:
SELECT last_name
FROM customers
WHERE last_name LIKE '%er%';
In this example of the Oracle LIKE operator, we search for all customers whose last_name contains ‘er’ characters.
Example of using _ (underscore character)
Next, let’s take a look at how the _ (underscore character) wildcard works in the Oracle LIKE operator. Remember that _ only looks for one character.
For example:
SELECT supplier_name
FROM suppliers
WHERE supplier_name LIKE 'Sm_th';
In this example Oracle LIKE will return all suppliers whose supplier_name is 5 characters long, where the first two characters are ‘Sm’ and the last two characters are ‘th’. For example it can return suppliers whose supplier_name is ‘Smith’, ‘Smyth’, ‘Smath’ or ‘Smeth’ etc.
Here is another example:
SELECT *
FROM suppliers
WHERE account_number LIKE '92314_';
Looking for an account number, you may find that you have only 5 of 6 digits. In the above example, potentially 10 last entries will be returned (where the missing value may be from 0 to 9). For example, a query may return a supplier whose account_number is:
923140, 923141, 923142, 923143, 923144, 923145, 923146, 923147, 923148, 923149
Example of NOT operator usage
Next, let’s look at how you will use the Oracle NOT operator with wildcards.
Let’s use % with the NOT operator. You can also use Oracle’s LIKE operator to search for suppliers (suppliers) whose names do not start with ‘W’.
For example:
SELECT supplier_name
FROM suppliers
WHERE supplier_name NOT LIKE 'W%';
By placing the NOT operator before LIKE, you can get all suppliers whose supplier_name does not start with ‘W’.
Example of ESCAPE usage
It is important to understand how escape_character works when it matches a pattern. These examples refer specifically to character skipping in Oracle.
Let’s say you want to find % or _ (a percentage character or an underscore) in a LIKE operator. You can do this with ESCAPE characters.
Oracle Tutorial; Like Operator
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
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”
Smarter BFSI Database Operations: How Enteros Applies GenAI to Cloud FinOps and RevOps
- 14 January 2026
- Database Performance Management
Introduction Banks, financial institutions, insurers, and fintech organizations operate in one of the most complex and regulated technology environments in the world. Digital banking platforms, real-time payments, core transaction systems, fraud detection engines, regulatory reporting platforms, and customer engagement channels all depend on highly reliable database operations. As BFSI organizations modernize their technology stacks, database … Continue reading “Smarter BFSI Database Operations: How Enteros Applies GenAI to Cloud FinOps and RevOps”
How Enteros Uses AIOps to Transform Database Performance Management and Cloud FinOps
Introduction As enterprises accelerate cloud adoption, digital transformation has fundamentally reshaped how applications are built, deployed, and scaled. At the center of this transformation lies a critical but often overlooked layer: databases. Every transaction, customer interaction, analytics workflow, and AI model ultimately depends on database performance. Yet for many organizations, database performance management and cloud … Continue reading “How Enteros Uses AIOps to Transform Database Performance Management and Cloud FinOps”