For example, let’s migrate a table from owner to sales schema in the AdventureWorks database following these steps: We can transfer objects to different schemas, as well. Ĭhange SQL schema of an existing object in SQL Server If we connect to SQL instance using the demo user and create objects without specifying a schema name, it still takes default schema as. The demo user is the schema owner of the customer schema as well. Note: Earlier, we created a demo user with a default schema. We specify a schema owner using the AUTHORIZATION keyword in the CREATE SCHEMA commandĮxecute the command and refresh the schema list (right-click on schemas and refresh). is the new schema name that we want to create in the AdventureWorks database :Īlternatively, we can run the script by specifying a schema name. We can see it creates the table in the default schema for the user, i.e. Execute the create table statement without specifying a SQL Schema. We can see that the new login is having access to the AdventureWorks database and its default schema is :Ĭlick OK, and it creates the SQL login, database user in the AdventureWorks database. Let’s select schema as a default schema for this user:Ĭlick OK and return to the user-mapping page. Navigate to the User Mapping page and put a check on the AdventureWorks database:Ĭlick on eclipse for default schema and browse available schema in the database. Provide the following inputs on the general page:Ĭhoose SQL Server authentication method and enter a password for the user Let’s create a new SQL login and database user with a default schema other than dbo. Specify default SQL schema while creating a new login It automatically uses dbo schema for the table because the current user default schema is dbo: We did not specify any schema in the CREATE TABLE statement. We can verify the default schema for a user using the following system function: If we do not define any default schema for a user, SQL Server assumes dbo as the default schema. We define default SQL Schema for a database user in the create database user window: We get more control over database objects access and security It allows you to move database objects among the schemas We can share a schema among multiple users We can quickly transfer ownership of a SQL schema to another user We can have a single or multiple schema owners. Now, the database object owner is a schema, and we define schema owners. Starting from SQL Server 2005, we have different meanings of user and schema. We do not have any restrictions on the number of objects in a schema. It is a useful mechanism to segregate database objects for different applications, access rights, managing the security administration of databases. A user owns that owns the schema is known as schema owner. We define SQL Schema as a logical collection of database objects. This article gives an overview of SQL Schema and its usage in SQL Server.Ī SQL database contains multiple objects such as tables, views, stored procedures, functions, indexes, triggers.
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