Preamble
Oracle LOCAL TEMPORARY TABLES are different inside modules and embedded SQL programs within Oracle sessions.
LOCAL TEMPORARY TABLE syntax
DECLARE LOCAL TEMPORARY TABLE table_name
( column1 datatype [ NULL | NOT NULL ],
column2 datatype [ NULL | NOT NULL ],
…
column_n datatype [ NULL | NOT NULL ]
);
Parameters or arguments
- table_name – The name of the table you want to create.
- column1, column2, … column_n – The column that you want to create in the local time table. Each column must have a data type. The column must be defined as either NULL or NOT NULL, and if this value is left blank, the database takes the default value of NULL.
DECLARE LOCAL TEMPORARY TABLE suppliers_temp
( supplier_id number(10) NOT NULL,
supplier_name varchar2(50) NOT NULL,
contact_name varchar2(50)
);
This example will allow you to create a local temporary table in Oracle with the name suppliers_temp.
Oracle: New Feature Private Temporary Table
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 Can Banks Improve Database Resilience During Peak Transaction Volumes?
- 10 September 2026
- Database Performance Management
Banks can improve banking database resilience by continuously monitoring transaction workloads, optimizing SQL, detecting abnormal behavior, reducing locking and resource contention, analyzing peak-demand patterns and forecasting capacity requirements. Database observability helps teams identify performance risks before customers experience failures. Enteros combines workload intelligence, anomaly detection, predictive analytics and root cause analysis to support resilient banking … Continue reading “How Can Banks Improve Database Resilience During Peak Transaction Volumes?”
How Can Healthcare IT Teams Prepare EHR Databases for Growth and Peak Demand?
Healthcare IT teams can prepare EHR databases for growth by monitoring workload trends, forecasting CPU, memory and storage requirements, optimizing high-impact SQL, analyzing concurrency, establishing performance baselines and testing future workloads. Healthcare database capacity planning helps organizations identify resource constraints before they disrupt clinical systems. Enteros provides database observability and predictive intelligence to support proactive … Continue reading “How Can Healthcare IT Teams Prepare EHR Databases for Growth and Peak Demand?”
What Is the Best Way for Telecom Companies to Monitor Database Performance in Real Time?
- 9 September 2026
- Database Performance Management
The best approach to telecom database performance monitoring is continuous, real-time observability across databases, applications, infrastructure, and workloads. Telecom companies should track query latency, resource utilization, waits, connections, anomalies, and configuration changes from a centralized platform. Intelligent telecom database monitoring helps teams identify performance degradation earlier, accelerate root cause analysis, reduce service disruptions, and maintain … Continue reading “What Is the Best Way for Telecom Companies to Monitor Database Performance in Real Time?”
Why Does Database Performance Matter for Faster E-commerce and In-Store Transactions?
Strong ecommerce database performance helps retailers process online and in-store transactions quickly, maintain accurate inventory, and deliver responsive customer experiences. When databases operate efficiently, product searches, checkout requests, payment workflows, and stock updates can complete with fewer delays. Effective database performance for ecommerce also helps businesses handle traffic spikes, identify bottlenecks, maintain availability, and support … Continue reading “Why Does Database Performance Matter for Faster E-commerce and In-Store Transactions?”