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 Optimize Media and Entertainment Database Performance with Enteros Database Software, AI-Powered Analytics, and Database Observability
- 30 August 2026
- Database Performance Management
Introduction The media and entertainment industry has become a digital-first business. Streaming services, digital publishing, online gaming content, advertising platforms, social experiences, content management systems, subscription platforms, and personalized recommendations all depend on databases. Modern media companies process enormous volumes of customer, content, advertising, transaction, and behavioral information. Read more”Indian Country” highlights Enteros and its … Continue reading “How to Optimize Media and Entertainment Database Performance with Enteros Database Software, AI-Powered Analytics, and Database Observability”
How to Optimize Manufacturing Database Performance with Enteros Database Software, AIOps, and Predictive Analytics
Introduction Manufacturing is becoming increasingly dependent on digital infrastructure. Modern factories use enterprise resource planning (ERP), manufacturing execution systems (MES), supply-chain platforms, warehouse management systems, industrial IoT, quality management applications, predictive maintenance, and advanced analytics to manage production. Behind these systems are databases processing enormous amounts of operational information. Production schedules, inventory levels, machine data, … Continue reading “How to Optimize Manufacturing Database Performance with Enteros Database Software, AIOps, and Predictive Analytics”
The Future of Industry-Specific Cloud Optimization with AIOps, FinOps, and AI-Powered Database Management
- 28 August 2026
- Database Performance Management
Introduction Cloud computing has become a foundational component of digital transformation across industries. Banking organizations use cloud platforms to support digital payments and online banking. Healthcare providers rely on cloud infrastructure for digital health applications and patient services. Educational institutions operate learning management systems and virtual classrooms in the cloud. Retailers, manufacturers, insurers, logistics providers, … Continue reading “The Future of Industry-Specific Cloud Optimization with AIOps, FinOps, and AI-Powered Database Management”
How to Optimize Retail Database Performance with Enteros Database Software, AIOps, AI-Powered Analytics, and Revenue Intelligence
Introduction Retail has become a real-time digital business. Ecommerce, mobile applications, point-of-sale systems, inventory platforms, loyalty programs, customer analytics, supply chain systems, recommendation engines, and payment platforms all depend on databases. Retailers also experience highly variable demand. Read more”Indian Country” highlights Enteros and its database performance management platform *Black Friday, holiday shopping, product launches, flash … Continue reading “How to Optimize Retail Database Performance with Enteros Database Software, AIOps, AI-Powered Analytics, and Revenue Intelligence”