4.7. Schemas

A EnterpriseDB database cluster contains one or more named databases. Users and groups of users are shared across the entire cluster, but no other data is shared across databases. Any given client connection to the server can access only the data in a single database, the one specified in the connection request.

Note: Users of a cluster do not necessarily have the privilege to access every database in the cluster. Sharing of user names means that there cannot be different users named, say, joe in two databases in the same cluster; but the system can be configured to allow joe access to only some of the databases.

A schema is a collection of database objects as well as logical structures of data. A schema is owned by a database user and has the same name as that user. Schema objects can be created and manipulated with SQL provided that the user doing so has the required privileges.

A database contains one or more named schemas, which in turn contain tables. Schemas also contain other kinds of named objects, including data types, functions, and operators. The same object name can be used in different schemas without conflict; for example, both schema1 and myschema may contain tables named mytable. Unlike databases, schemas are not rigidly separated: a user may access objects in any of the schemas in the database he is connected to, if he has privileges to do so.

There are several reasons why one might want to use schemas:

Schemas are analogous to directories at the operating system level, except that schemas cannot be nested.

4.7.1. Creating a Schema

To create a separate schema, use the command CREATE SCHEMA. Give the schema a name of your choice. For example:

CREATE SCHEMA myschema;

To create or access objects in a schema, write a qualified name consisting of the schema name and table name separated by a dot:

schema.table

(For brevity we will speak of tables only, but the same ideas apply to other kinds of named objects, such as types and functions.)

Actually, the even more general syntax

database.schema.table

can be used too, but at present this is just for pro-forma compliance with the SQL standard. If you write a database name, it must be the same as the database you are connected to.

So to create a table in the new schema, use

CREATE TABLE myschema.mytable (
 ...
);

This works anywhere a table name is expected, including the table modification commands and the data access commands discussed in the following chapters.

To drop a schema if it's empty (all objects in it have been dropped), use

DROP SCHEMA myschema;

To drop a schema including all contained objects, use

DROP SCHEMA myschema CASCADE;

See Section 4.9 for a description of the general mechanism behind this.

Often you will want to create a schema owned by someone else (since this is one of the ways to restrict the activities of your users to well-defined namespaces). The syntax for that is:

CREATE SCHEMA schemaname AUTHORIZATION username;

You can even omit the schema name, in which case the schema name will be the same as the user name. See Section 4.7.5 for how this can be useful.

4.7.2. The Public Schema

In the previous sections we created tables without specifying any schema names. By default, such tables (and other objects) are automatically put into a schema named "public". Every new database contains such a schema. Thus, the following are equivalent:

CREATE TABLE emp ( ... );

and

CREATE TABLE public.emp ( ... );

4.7.3. The Schema Search Path

Qualified names are tedious to write, and it's often best not to wire a particular schema name into applications anyway. Therefore tables are often referred to by unqualified names, which consist of just the table name. The system determines which table is meant by following a search path, which is a list of schemas to look in. The first matching table in the search path is taken to be the one wanted. If there is no match in the search path, an error is reported, even if matching table names exist in other schemas in the database.

The first schema named in the search path is called the current schema. Aside from being the first schema searched, it is also the schema in which new tables will be created if the CREATE TABLE command does not specify a schema name.

To show the current search path, use the following command:

SHOW search_path;

In the default setup this returns:

 search_path
--------------
 $user,public

The first element specifies that a schema with the same name as the current user is to be searched. If no such schema exists, the entry is ignored. The second element refers to the public schema that we have seen already.

The first schema in the search path that exists is the default location for creating new objects. That is the reason that by default objects are created in the public schema. When objects are referenced in any other context without schema qualification (table modification, data modification, or query commands) the search path is traversed until a matching object is found. Therefore, in the default configuration, any unqualified access again can only refer to the public schema.

To put our new schema in the path, we use

SET search_path TO myschema,public;

(We omit the $user here because we have no immediate need for it.) And then we can access the table without schema qualification:

DROP TABLE mytable;

Also, since myschema is the first element in the path, new objects would by default be created in it.

We could also have written

SET search_path TO myschema;

Then we no longer have access to the public schema without explicit qualification. There is nothing special about the public schema except that it exists by default. It can be dropped, too.

See also Section 8.14 for other ways to access the schema search path.

The search path works in the same way for data type names, function names, and operator names as it does for table names. Data type and function names can be qualified in exactly the same way as table names. If you need to write a qualified operator name in an expression, there is a special provision: you must write

OPERATOR(schema.operator)

In practice one usually relies on the search path for operators, so as not to have to write anything so ugly as that.

4.7.4. Schemas and Privileges

By default, users cannot access any objects in schemas they do not own. To allow that, the owner of the schema needs to grant the USAGE privilege on the schema. To allow users to make use of the objects in the schema, additional privileges may need to be granted, as appropriate for the object.

A user can also be allowed to create objects in someone else's schema. To allow that, the CREATE privilege on the schema needs to be granted. Note that by default, everyone has CREATE and USAGE privileges on the schema public. This allows all users that are able to connect to a given database to create objects in its public schema. If you do not want to allow that, you can revoke that privilege:

REVOKE CREATE ON SCHEMA public FROM PUBLIC;

(The first "public" is the schema, the second "public" means "every user". In the first sense it is an identifier, in the second sense it is a reserved word, hence the different capitalization; recall the guidelines from Section 3.1.1.)

4.7.5. Usage Patterns

Schemas can be used to organize your data in many ways. There are a few usage patterns that are recommended and are easily supported by the default configuration:

4.7.6. Portability

In the SQL standard, the notion of objects in the same schema being owned by different users does not exist. Moreover, some implementations do not allow you to create schemas that have a different name than their owner. In fact, the concepts of schema and user are nearly equivalent in a database system that implements only the basic schema support specified in the standard. Therefore, many users consider qualified names to really consist of username.tablename. This is how EnterpriseDB will effectively behave if you create a per-user schema for every user.

Also, there is no concept of a public schema in the SQL standard. For maximum conformance to the standard, you should not use (perhaps even remove) the public schema.

Of course, some SQL database systems might not implement schemas at all, or provide namespace support by allowing (possibly limited) cross-database access. If you need to work with those systems, then maximum portability would be achieved by not using schemas at all.