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Each catalog contains one or more schemas. A schema is a set of related objects that are collected under a common namespace. The schema acts as a container for those objects, which in turn store the SQL data or perform other data-related functions. Each schema, the objects contained in the schema, and the SQL data within those objects are owned by the authorization identifier associated with that schema. Unlike catalogs, schemas are widely implemented in RDBMS products. However, as with catalogs, SQL leaves most of the implementation details up to the vendor, although the standard does provide language for the creation and deletion of schemas. For creating a schema, the CREATE SCHEMA statement is used, and for deleting a schema, the DROP SCHEMA statement is used. Creating and deleting schemas are discussed in more detail in the Create a Schema section. The treatment of schemas in an RDBMS can vary widely from the standard, and therefore, it s important that you read the product documentation carefully if you want to create a schema in your SQL environment. For example, the Oracle database architecture combines the concept of a schema and the owning authorization identifier when you create a user in Oracle, you are also implicitly creating a schema for that user. While Oracle 11g does contain a CREATE SCHEMA statement for compatibility with the SQL standard, it merely allows you to execute a batch of specific SQL statements to create tables and views and grant privileges within a schema that already exists (that is, one that was already implicitly created using the CREATE USER statement).

The SQL standard does not directly specify the structure of a system catalog that must be supported by DBMS implementations. In practice, given the widely differing features supported by different DBMS brands and the major differences in the system catalogs that were already being used by commercial SQL products when the SQL2 standard was adopted, it would have been impossible to reach an agreement on a standard catalog definition. Instead, the writers of the SQL standard defined an idealized system catalog that a DBMS vendor might design if it were building a DBMS to support the SQL standard from scratch. Since MySQL was developed after the SQL Information Schema was added to the SQL standard, it was built to conform to the standard. Microsoft added a number of views compliant with the SQL Information Schema to SQL Server 2008. More vendors are likely to follow.

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Each catalog contains a special schema named INFORMATION_SCHEMA. This schema contains definitions for a number of schema objects, mostly views. A view is a virtual table that allows you to view data collected from actual tables. By using these views, you can display the definitions of objects in that catalog as though it were SQL data. You cannot change any of the data if you did you would be changing the object definitions themselves but you can display information simply by querying the appropriate view.

16:

The tables in this idealized system catalog (called the definition schema in the standard) are summarized in Table 16-13.

2:

System Table ASSERTIONS AUTHORIZATIONS CHARACTER_SETS CHECK_COLUMN_USAGE CHECK_CONSTRAINTS CHECK_TABLE_USAGE COLLATIONS COLUMN_PRIVILEGES COLUMNS DATA_TYPE_DESCRIPTOR DOMAIN_CONSTRAINTS DOMAINS KEY_COLUMN_USAGE REFERENTIAL_ CONSTRAINTS SCHEMATA TABLE_CONSTRAINTS TABLE_PRIVILEGES TABLES TRIGGER_COLUMN_USAGE TRIGGER_TABLE_USAGE TRIGGERS USAGE_PRIVILEGES USER_DEFINED_TYPES VIEW_COLUMN_USAGE VIEW_TABLE_USAGE VIEWS

TABLE 16-13

As with most SQL features, the implementation of the information schema and what functions are supported varies from product to product, although these implementations are usually fairly straightforward. For example, SQL Server 2008 includes a view in the information schema named INFORMATION_SCHEMA.COLUMNS. If you query this view, the results will include a list that contains information about every column accessible to the current user within the current database. The results include such information as the column name, the data type assigned to that column, and the owner (authorization identifier) who owns that column.

Contents One row for each assertion One row for each role name and one row for each authorization identifier One row for each character set descriptor One row for each column referenced by a check constraint, domain constraint, or assertion One row for each domain constraint, table check constraint, and assertion One row for each table referenced in the search condition of a check constraint, domain constraint, or assertion One row for each character collation descriptor One row for each column privilege descriptor One row for each column in each table or view definition One row for each domain or column defined with a data type One row for each domain constraint One row for each domain One or more rows for each row in the TABLE_CONSTRAINTS table that participates in a unique, primary key, or foreign key constraint One row for each row in the TABLE_CONSTRAINTS table that participates in a foreign key constraint One row for each schema One row for each table constraint specified in a table definition One row for each table privilege One row for each table or view One row for each column referenced by a trigger One row for each table referenced by a trigger One row for each trigger One row for each usage privilege descriptor One row for each user-defined type One row for each column referenced by a view One row for each table referenced in each view definition (if a view is defined by a query on multiple tables, there will be a row for each table) One row for each table or view

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