Preamble
The Oracle IN condition (also called the IN operator) determines whether a value or a list of values corresponds to an expression in the specified resulting SELECT, INSERT, UPDATE or DELETE set.
Syntax for the IN condition in Oracle/PLSQL
expression IN (value1, value2, ... value_n);
Parameters and arguments of the condition
- expression – An expression to check.
- value1, value2, … value_n – Values to check the expression.
Note:
The Oracle IN condition will return records where the value of expression coincides with value1, value2, … or value_n.
No more than 1000 constants are allowed in the IN list.
Example with symbols
Let’s consider an example of the Oracle IN condition, using character values.
Below is the Oracle proposal SELECT, which uses the IN condition to compare character values:
SELECT *
FROM customers
WHERE customer_name IN ('IBM', 'Hewlett Packard', 'Microsoft');
This example of the Oracle IN condition will return all strings where customer_name or ‘IBM’, ‘Hewlett Packard’, or ‘Microsoft’. Since SELECT uses *, all fields from the customer_name table will appear in the resulting set.
The example above is equivalent to the following SELECT query:
SELECT *
FROM customers
WHERE customer_name = 'IBM'
OR customer_name = 'Hewlett Packard'
OR customer_name = 'Microsoft';
As you can see, using the IN condition, the SELECT query becomes more readable and more efficient.
Example with numbers
Let’s consider the example of Oracle’s IN condition, using numeric values.
For example:
SELECT *
FROM orders
WHERE order_id IN (10000, 10001, 10003, 10005);
This Oracle IN condition example will return all orders where order_id is either 10000 or 10001 or 10003 or 10005.
The example above is equivalent to the following SELECT request:
SELECT *
FROM orders
WHERE order_id = 10000
OR order_id = 10001
OR order_id = 10003
OR order_id = 10005;
Example of NOT operator usage
And finally, let us consider an example of the IN condition, using the Oracle NOT operator.
For example:
SELECT *
FROM customers
WHERE customer_name NOT IN ( 'IBM', 'Hewlett Packard', 'Microsoft');
This example of the Oracle IN condition will return all lines where customer_name is not ‘IBM’, ‘Hewlett Packard’, or ‘Microsoft’. Sometimes it is much more efficient to list the values that you do not want to get as a result, as opposed to the values that you want to get.
SQL tutorials: How To CREATE TABLE using enterprise manager 11g
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 Modernize Higher Education Technology Operations with Enteros RevOps Efficiency and Database Analytics
- 15 June 2026
- Database Performance Management
Introduction Higher education institutions are undergoing a significant digital transformation as universities, colleges, online learning providers, and educational technology organizations modernize their operations to support evolving student expectations, hybrid learning environments, and data-driven decision-making. Today’s educational institutions rely on increasingly complex technology ecosystems that support: Student Information Systems (SIS) Learning Management Systems (LMS) Online learning … Continue reading “How to Modernize Higher Education Technology Operations with Enteros RevOps Efficiency and Database Analytics”
The Role of Real-Time SQL Analytics in Reducing Cloud Infrastructure Costs
Cloud infrastructure has transformed how modern enterprises build and scale applications. Organizations now rely heavily on cloud platforms to support digital services, real-time transactions, analytics workloads, and global user demand. While the cloud offers unmatched scalability and flexibility, it also introduces a growing challenge: controlling infrastructure costs without compromising performance. For many enterprises, databases represent … Continue reading “The Role of Real-Time SQL Analytics in Reducing Cloud Infrastructure Costs”
How to Optimize Retail Customer Experiences with Enteros AI SQL Intelligence and Operational Analytics
Introduction Customer experience has become one of the most important competitive differentiators in the retail industry. Whether customers are shopping online, using mobile applications, engaging with loyalty programs, or visiting physical stores, they expect fast, personalized, and seamless interactions across every touchpoint. To meet these expectations, retailers increasingly rely on sophisticated digital ecosystems that include: … Continue reading “How to Optimize Retail Customer Experiences with Enteros AI SQL Intelligence and Operational Analytics”
How AI-Driven Database Observability Improves Multi-Cloud Application Reliability
Modern enterprises increasingly rely on multi-cloud architectures to support scalability, resilience, and global application delivery. By distributing workloads across providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, organizations gain flexibility and avoid vendor lock-in. However, these benefits come with a major challenge: maintaining consistent application reliability across complex, distributed environments. At … Continue reading “How AI-Driven Database Observability Improves Multi-Cloud Application Reliability”