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The dblib-based program in Figure 19-10 performs exactly the same function as the dynamic embedded SQL program in Figure 18-9. It s instructive to compare the two programs and the techniques they use: I For both embedded SQL and dblib, the program builds a SELECT statement in its buffers and submits it to the DBMS for processing. With dynamic SQL, the special PREPARE statement handles this task; with the SQL Server API, the standard dbcmd() and dbsqlexec() functions are used. I For both interfaces, the program must request a description of the columns of query results from the DBMS. With dynamic SQL, the special DBNUMCOLS() statement handles this task, and the description is returned in a SQLDA data structure. With dblib, the description is obtained by calling API functions. Note that the program in Figure 19-10 maintains its own arrays to keep track of the column information.

I For both interfaces, the program must allocate buffers to receive the query results and must bind individual columns to those buffer locations. With dynamic SQL, the program binds columns by placing the buffer addresses into the SQLVAR structures in the SQLDA. With SQL Server, the program uses the dbbind() function to bind the columns. I For both interfaces, the query results are returned into the program s buffers, row by row. With dynamic SQL, the program retrieves a row of query results using a special version of the FETCH statement that specifies the SQLDA. With SQL Server, the program calls dbnextrow() to retrieve a row. Overall, the strategy used to handle dynamic queries is very similar for both interfaces. The dynamic SQL technique uses special statements and data structures that are unique to dynamic SQL; they are quite different from the techniques used for static SQL queries. In contrast, the dblib techniques for dynamic queries are basically the same as those used for all other queries. The only added features are the dblib functions that return information about the columns of query results. This tends to make the callable API approach easier to understand for the less-experienced SQL programmer.

In an ideal world, SQL that complied with the ISO/ANSI standard would run on any database that supported SQL. While that is not quite the case, the good news is that very few (if any) modi cations have to be made for the most popular DBMSs on the market today. For most DBMSs, you ll need to create a database and/or a schema to hold the database objects as well as a database user account that will be used to access the database. The DBMS architecture varies from one vendor to another, so consult your DBMS documentation for the steps required to do this. Here are the modi cations required for three of the most popular DBMSs.

Open Database Connectivity (ODBC) is a database-independent callable API suite originally developed by Microsoft. Although Microsoft plays an important role as a database software vendor, its development of ODBC was motivated even more by its role as a major operating system developer. Microsoft wanted to make it easier for developers of Windows applications to incorporate database access. But the large differences between the various database systems and their APIs made this very difficult. If an application developer wanted a program to work with several different DBMS brands, it had to provide a separate, specially written database interface module (usually called a driver) for each one. Each application program that wanted to provide access to multiple databases had to provide a set of drivers. Microsoft s solution to this problem was to create ODBC as a uniform, standardized database access interface, and incorporate it into the Windows operating system. For application developers, ODBC eliminated the need to write custom database drivers. For database vendors, ODBC provided a way to gain support from a broader range of application programs.

ODBC would have been important even as a Microsoft-only standard. However, Microsoft worked to make it a vendor-independent standard as well. A database vendor association called the SQL Access Group was working on standardizing client/server protocols for remote database access at about the same time as Microsoft s original development of ODBC. Microsoft persuaded the SQL Access Group to expand their

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