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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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For most DBMS brands, you can declare hostvar3 as a C floating point variable, and the DBMS will automatically translate the floating point value into the DBMS MONEY format Finally, in the fourth UPDATE statement, the HIRE_DATE column has a DATE data type in the database For most DBMS brands, you should declare hostvar4 as an array of C character data and fill the array with a text form of the date acceptable to the DBMS As Figure 17-18 shows, the data types of host variables must be chosen carefully to match their intended use in embedded SQL statements Table 17-1 shows the SQL data types specified in the ANSI/ISO SQL2 standard and the corresponding data types used in four of the most popular embedded SQL programming languages, as specified in the standard.

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

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The standard specifies data type correspondences and embedded SQL rules for the Ada, C, COBOL, FORTRAN, MUMPS, Pascal, and PL/I languages Note, however, that in many cases, there is not a one-to-one correspondence between data types In addition, each brand of DBMS has its own data type idiosyncrasies and its own rules for data type conversion when using host variables Before counting on a specific data conversion behavior, consult the documentation for your particular DBMS brand and carefully read the description for the particular programming language you are using..

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

Most programming languages do not provide SQL-style support for unknown or missing values. A variable in COBOL, C, or FORTRAN, for example, always has a value. There is no concept of the value being NULL or missing. This causes a problem when you want to store NULL values in the database or retrieve NULL values from the database using programmatic SQL. Embedded SQL solves this problem by allowing each host variable to have a companion host indicator variable. In an embedded SQL statement, the host variable and the indicator variable together specify a single SQL-style value, as follows: I An indicator value of zero means that the host variable contains a valid value and that this value is to be used. I A negative indicator value means that the host variable should be assumed to have a NULL value; the actual value of the host variable is irrelevant and should be disregarded.

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TABLE 16-13

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