Preamble
The SELECT FOR UPDATE command allows you to lock entries in the resulting cursor set. The blocking of records is removed when the following commit or rollback commands are executed.
Syntax of SELECT FOR UPDATE operator
CURSOR_cursor name
IS
select_statement
FOR UPDATE [OF column_list] [NOWAIT];
Parameters and arguments of the operator
- cursor name – cursor name.
- select_statement – command SELECT, which will fill the resulting set of cursors.
- column_list – of columns in the cursor of the resulting set of cursors that you want to update.
- NOWAIT – is optional. The cursor will not wait for resources.
For example, you could use the Oracle SELECT FOR UPDATE operator in the following way:
CURSOR c1
IS
SELECT course_number, instructor
FROM courses_tbl
FOR UPDATE OF instructor;
If you plan to update or delete records referred to by the SELECT FOR UPDATE operator, you can use the WHERE CURRENT OF operator.
Basics of Oracle SQL Select Update Alter Operators WildCard
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 Transform Financial Operations with Enteros Database Software and Growth Intelligence
- 17 June 2026
- Database Performance Management
Introduction Financial institutions operate in one of the most data-intensive and highly regulated environments in the world. Banks, insurance companies, investment firms, fintech organizations, and financial service providers rely heavily on digital platforms to process transactions, manage risk, deliver customer experiences, and drive business growth. Today’s financial ecosystems support: Digital banking platforms Payment processing systems … Continue reading “How to Transform Financial Operations with Enteros Database Software and Growth Intelligence”
How to Modernize Telecom Cost Attribution with Enteros Database Management Platform and Growth Analytics
Introduction Telecommunications companies operate some of the most complex technology environments in the world. Every call, message, video stream, internet session, billing transaction, and customer interaction generates enormous amounts of operational and financial data. As telecom providers continue expanding 5G networks, cloud services, digital platforms, IoT offerings, and AI-driven customer experiences, infrastructure complexity and operational … Continue reading “How to Modernize Telecom Cost Attribution with Enteros Database Management Platform and Growth Analytics”
How Intelligent Database Monitoring Helps Prevent Costly Application Downtime
In today’s always-on digital economy, application availability is directly tied to business success. Whether supporting e-commerce transactions, financial services, SaaS platforms, healthcare systems, or enterprise operations, modern applications are expected to deliver seamless performance around the clock. Even brief outages can result in lost revenue, damaged customer trust, operational disruption, and reputational harm. At the … Continue reading “How Intelligent Database Monitoring Helps Prevent Costly Application Downtime”
Improving Enterprise IT Efficiency with AI-Powered Database Anomaly Detection
In today’s digital-first enterprise environment, IT teams are under constant pressure to maintain high application availability, optimize infrastructure costs, and ensure seamless performance across increasingly complex systems. Enterprises rely on databases to power critical workloads such as customer transactions, analytics, reporting, automation, and business intelligence. As data volumes and workload complexity grow, even small database … Continue reading “Improving Enterprise IT Efficiency with AI-Powered Database Anomaly Detection”