Preamble
The CREATE SCHEMA operator does not actually create the circuit in Oracle. (Learn how to create a schema in Oracle.)
The CREATE SCHEMA statement is only used to create objects (i.e. tables, views) in your schema in one SQL statement instead of running the individual CREATE TABLE and CREATE VIEW statements.
If an error occurs when creating any of the objects in the CREATE SCHEMA statement, the Oracle database rolls back all creation operations (i.e. tables and views) in the CREATE SCHEMA statement.
Syntax of the CREATE SCHEMA operator
CREATE SCHEMA AUTHORIZATION schema_name
[create_table_statement]
[create_view_statement]
[grant_statement];
Parameters and arguments of the operator
- schema_name – the name of the schema (which is the same as the Oracle user you logged on with).
- create_table_statement – optional. This is a valid CREATE TABLE operator.
- create_view_statement is optional. This is a valid CREATE VIEW operator.
- grant_statement is optional. This is a valid GRANT operator.
Below is the CREATE SCHEMA operator (creating one table in the schematic):
CREATE SCHEMA AUTHORIZATION samvel
CREATE TABLE products
( product_id number(10) not null,
product_name varchar2(50) not null,
category varchar2(50),
CONSTRAINT products_pk PRIMARY KEY (product_id)
);
In this example, a scheme called samvel is created. In this new scheme, one table is created, called products.
You can also create multiple tables using the CREATE SCHEMA operator as follows:
CREATE SCHEMA AUTHORIZATION samvel
CREATE TABLE products
( product_id number(10) not null,
product_name varchar2(50) not null,
category varchar2(50),
CONSTRAINT products_pk PRIMARY KEY (product_id)
)
CREATE TABLE suppliers
( supplier_id number(10) not null,
supplier_name varchar2(50) not null,
city varchar2(25),
CONSTRAINT suppliers_pk PRIMARY KEY (supplier_id)
);
This CREATE SCHEMA operator will create two tables, the products and the suppliers. If an error occurs when creating any of these tables, no table will be created.
Alternatively, you could create these 2 tables using two separate CREATE TABLE operators as follows (as long as you are a samvel user):
CREATE TABLE products
( product_id number(10) not null,
product_name varchar2(50) not null,
category varchar2(50),
CONSTRAINT products_pk PRIMARY KEY (product_id)
);
CREATE TABLE suppliers
( supplier_id number(10) not null,
supplier_name varchar2(50) not null,
city varchar2(25),
CONSTRAINT suppliers_pk PRIMARY KEY (supplier_id)
);
What is an Oracle Schema; Database Tutorial – Oracle DBA Tutorial
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
Transforming Healthcare and E-commerce Efficiency: How Enteros Leverages Generative AI to Optimize SaaS Database Performance and Drive Digital Innovation
- 10 November 2025
- Database Performance Management
Introduction In an era defined by data-driven transformation, both the healthcare and e-commerce sectors stand as two of the most dynamic and fast-evolving industries. While their missions differ — one saves lives and the other shapes consumer experiences — both share a common foundation: data.Every patient interaction, online purchase, diagnostic scan, or personalized recommendation depends … Continue reading “Transforming Healthcare and E-commerce Efficiency: How Enteros Leverages Generative AI to Optimize SaaS Database Performance and Drive Digital Innovation”
Driving RevOps Excellence in the Technology Sector: How Enteros Combines AIOps Intelligence and Database Performance Management for Superior Operational Efficiency
Introduction The technology sector thrives on innovation, speed, and precision. As organizations accelerate digital transformation, the pressure to maintain database performance, system reliability, and cost efficiency intensifies. With expanding workloads, hybrid cloud infrastructures, and distributed databases, achieving seamless performance management across platforms becomes increasingly complex. This complexity directly impacts Revenue Operations (RevOps) — the strategic … Continue reading “Driving RevOps Excellence in the Technology Sector: How Enteros Combines AIOps Intelligence and Database Performance Management for Superior Operational Efficiency”
Why AI Projects Fail Before They Start — Data Quality First
Insight for CIOs, FinOps and IT Leaders in 2025 Introduction AI is everywhere in boardroom conversations: promises of automation, predictive insights, and competitive advantage. Yet behind the hype lies a sobering reality — most AI projects stall before they deliver measurable value. The paradox is striking: the algorithms are powerful, but the data feeding them … Continue reading “Why AI Projects Fail Before They Start — Data Quality First”
Revolutionizing the BFSI Sector: How Enteros Harnesses Generative AI and AIOps for Next-Generation Performance Management
- 9 November 2025
- Database Performance Management
Introduction In the fast-evolving Banking, Financial Services, and Insurance (BFSI) sector, digital transformation is not just a competitive advantage—it’s an operational necessity. Every second of downtime, lagging transaction, or database bottleneck can translate into millions in lost revenue, compliance risks, and diminished customer trust. The BFSI industry depends on robust, scalable, and intelligent systems that … Continue reading “Revolutionizing the BFSI Sector: How Enteros Harnesses Generative AI and AIOps for Next-Generation Performance Management”