Preamble
In Oracle statement CASE has IF-THEN-ELSE functionality. Starting with Oracle 9i, you can use a CASE statement in an SQL sentence.
Syntax of CASE statement
CASE [ ]
WHEN condition_1 THEN result_1
WHEN condition_2 THEN result_2
…
WHEN condition_n THEN result_n
ELSE result
END
Parameters and arguments of the CASE statement
- expression is not mandatory. It is a value that you compare to conditions (that is: condition_1, condition_2 … condition_n).
- condition_1 … condition_n must be of the same type. Conditions are evaluated in order, one after another. After the condition takes the value TRUE (truth), the CASE operator returns the result and will not evaluate the conditions further.
- result_1 … result_n all must be of the same data type. This value is returned once the condition assumes TRUE (True).
Note:
- If the condition does not accept TRUE, the CASE operator will return the ELSE offer.
- If the ELSE offer is omitted and the condition does not accept TRUE, the CASE operator will return NULL.
- The CASE operator can have up to 255 comparisons. Each WHEN … THEN sentence considers 2 comparisons.
You can use the CASE statement in the following versions of Oracle / PLSQL:
|
Oracle 12c, Oracle 11g, Oracle 10g, Oracle 9i
|
You can use a CASE statement in an SQL sentence as follows:
SELECT table_name,
CASE owner
WHEN 'SYS' THEN 'The owner is SYS'
WHEN 'SYSTEM' THEN 'The owner is SYSTEM'
ELSE 'The owner is another value'.
END
FROM all_tables;
Or you could write an SQL query using the CASE statement as follows: (omitting WHEN … THEN in the sentence). For example:
SELECT table_name,
CASE
WHEN owner='SYS' THEN 'The owner is SYS'
WHEN owner='SYSTEM' THEN 'The owner is SYSTEM'
ELSE 'The owner is another value'.
END
FROM all_tables;
These two examples of CASE statement are equivalent to the following conditional IF-THEN-ELSE statement:
IF owner = 'SYS' THEN
result := 'The owner is SYS';
ELSIF = 'SYSTEM' THEN
result := 'The owner is SYSTEM';
ELSE
result := 'The owner is another value';
END IF;
The CASE operator will compare each value of the owner, one after the other.
The ELSE offer in a CASE operator is optional. It can be omitted. Let’s look at a previous SQL query with the ELSE clause omitted.
The SQL query will look like this:
SELECT table_name,
CASE owner
WHEN 'SYS' THEN 'The owner is SYS'
WHEN 'SYSTEM' THEN 'The owner is SYSTEM'
END
FROM all_tables;
With no ELSE offer, if none of the conditions accept TRUE, the CASE operator will return NULL.
Comparing 2 conditions
Here is an example that shows how to use a CASE operator to compare different conditions:
SELECT
CASE
WHEN a < b THEN 'hello'
WHEN d < e THEN 'goodbye'
END
FROM suppliers;
Comparison of 2 fields in one CASE sentence:
SELECT supplier_id,
CASE
WHEN supplier_name = 'IBM' and supplier_type = 'Hardware' THEN 'North office'
WHEN supplier_name = 'IBM' and supplier_type = 'Software' THEN 'South office'
END
FROM suppliers;
So, if the field supplier_name = ‘IBM’ and field supplier_type = ‘Hardware’, the CASE operator will return ‘North office’. If the field supplier_name = ‘IBM’ and supplier_type = ‘Software’, the CASE operator will return ‘South office’.
CASE STATEMENT(IF THEN ELSE) IN ORACLE SQL WITH EXAMPLE
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
Driving Financial RevOps Efficiency with Enteros: AIOps-Powered Database Performance for Smarter Decision-Making
- 27 October 2025
- Database Performance Management
Introduction In today’s competitive financial ecosystem, where every second and every data point matters, achieving operational agility and revenue precision has become a top priority. Financial institutions — from banks and insurance companies to fintech innovators — are seeking more intelligent ways to manage their data-driven operations. The convergence of Revenue Operations (RevOps), database performance … Continue reading “Driving Financial RevOps Efficiency with Enteros: AIOps-Powered Database Performance for Smarter Decision-Making”
Revolutionizing Healthcare Efficiency with Enteros: SaaS Database Optimization, Generative AI, and Cloud FinOps Synergy
Introduction The healthcare sector has entered a new digital era driven by innovation, patient data analytics, and intelligent automation. From hospital management systems and patient monitoring to clinical research and predictive diagnostics, the industry’s growing dependence on cloud-based data systems has introduced both immense opportunities and operational challenges. As healthcare organizations scale their operations, managing … Continue reading “Revolutionizing Healthcare Efficiency with Enteros: SaaS Database Optimization, Generative AI, and Cloud FinOps Synergy”
⚡ The Hidden Blackout: How Data Lag Triggered a Grid Failure (and What It Taught Us About Energy Resilience)
📍 The Incident In late 2024, a regional utility company in Northern Europe experienced an unexpected power disruption.Not because of a storm.Not because of an overload.But because two monitoring systems were five seconds out of sync. Those five seconds cost the company 19 million euros in operational losses and emergency response. When analysts reconstructed the … Continue reading “⚡ The Hidden Blackout: How Data Lag Triggered a Grid Failure (and What It Taught Us About Energy Resilience)”
How Enteros is Revolutionizing Real Estate RevOps Through Generative AI and Smarter Database Performance
- 26 October 2025
- Database Performance Management
Introduction The real estate sector is no longer confined to property listings and offline transactions—it’s a complex, data-driven industry powered by technology, analytics, and automation. From property valuation and customer engagement to financial forecasting and deal execution, data plays a pivotal role in driving operational efficiency and revenue growth. However, managing this massive influx of … Continue reading “How Enteros is Revolutionizing Real Estate RevOps Through Generative AI and Smarter Database Performance”