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database management system must keep track of a great deal of information about the structure of a database to perform its data management functions. In a relational database, this information is typically stored in the system catalog, a collection of system tables that the DBMS maintains for its own use. The information in the system catalog describes the tables, views, columns, privileges, and other structural features of the database. Although the DBMS maintains the system catalog primarily for its own internal purposes, the system tables or views based on them are usually accessible to database users as well, through standard SQL queries or special commands supported by the DBMS. A relational database is thus self-describing; using queries against the system tables, you can ask the database to describe its own structure. General-purpose database front-ends, such as query tools and report writers, use this self-describing feature to generate lists of tables and columns for user selection, simplifying database access. This chapter describes the system catalogs provided by several popular SQL-based DBMS products and the information that the catalogs contain. It also describes the system catalog capabilities specified by the ANSI/ISO SQL standard.

11:

The system catalog is a collection of special database tables that are owned, created, and maintained by the DBMS itself. These system tables contain data that describes the structure of the database. The tables in the system catalog are automatically created when the database is created. They are usually gathered under a special system user-id with a name like SYSTEM, SYSIBM, MASTER, or DBA. The DBMS constantly refers to the data in the system catalog while processing SQL statements. For example, to process a two-table SELECT statement, the DBMS must Verify that the two named tables actually exist. Ensure that the user has permission to access them. Check whether the columns referenced in the query exist. Resolve any unqualified column names to one of the tables. Determine the data type of each column.

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I Application program interface In this approach, the program communicates with the DBMS through a set of function calls called an application program interface, or API The program passes SQL statements to the DBMS through the API calls and uses API calls to retrieve query results This approach does not require a special precompiler The initial IBM SQL products used an embedded SQL approach, and most commercial SQL products adopted it in the 1980s The original ANSI/ISO SQL standard specified only an awkward module language for programmatic SQL, but commercial SQL products continued to follow the IBM de facto standard In 1989, the ANSI/ISO standard was extended to include a definition of how to embed SQL statements within the Ada, C, COBOL, FORTRAN, Pascal, and PL/I programming languages, this time following the IBM approach The SQL2 standard continued this specification.

The multi-row INSERT statement adds zero or more rows to a table. The values for the new rows come from a query, specified as part of the INSERT statement. The DELETE statement deletes zero or more rows of data from a table. The rows to be deleted are specified by a search condition. The UPDATE statement modifies the values of one or more columns in zero or more rows of a table. The rows to be updated are specified by a search condition. The columns to be updated, and the expressions that calculate their new values, are specified in the UPDATE statement. Unlike the SELECT statement, which can operate on multiple tables, the INSERT, DELETE, and UPDATE statements work on only a single table at a time. The search condition used in the DELETE and UPDATE statements has the same form as the search condition for the SELECT statement.

Part IV:

In parallel with this evolution of embedded SQL, several DBMS vendors who were focused on minicomputer systems introduced callable database APIs in the 1980s When the Sybase DBMS was introduced, it offered only a callable API Microsoft s SQL Server, derived from the Sybase DBMS, also used the API approach exclusively Soon after the debut of SQL Server, Microsoft introduced Open Database Connectivity (ODBC), another callable API ODBC is roughly based on the SQL Server API, but with the additional goals of being database independent and permitting concurrent access to two or more different DBMS brands through a common API More recently, Java Database Connectivity (JDBC) has emerged as an important API for accessing a relational database from within programs written in Java With the growing popularity of callable APIs, the callable and embedded approaches are both in active use today.

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