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Like the other parts of the SQL language, dynamic SQL varies from one brand of DBMS to another. In fact, the differences in dynamic SQL support are more serious than for static SQL, because dynamic SQL exposes more of the nuts and bolts of the underlying DBMS data types, data formats, and so on. As a practical matter, these differences make it impossible to write a single, general-purpose database front-end that is portable across different DBMS brands using dynamic SQL. Instead, database front-end programs must include a translation layer, often called a driver, for each brand of DBMS that they support, to accommodate the differences. The early front-end products usually shipped with a separate driver for each of the popular DBMS brands. The introduction of ODBC as a uniform SQL API layer made this job simpler, since an ODBC driver could be written once for each DBMS brand, and the frontend program could be written to solely use the ODBC interface. In practice, however, ODBC s least-common-denominator approach meant that the front-end programs couldn t take advantage of the unique capabilities of the various supported DBMS systems, and it limited the performance of the application. As a result, most modern front-end programs and tools still include a separate, explicit driver for each of the popular DBMS brands. An ODBC driver is usually included to provide access to the others. A detailed description of the dynamic SQL features supported by all of the major DBMS brands is beyond the scope of this book. However, it is instructive to examine the dynamic SQL support provided by SQL/DS and by Oracle as examples of the kinds of differences and extensions to dynamic SQL that you may find in your particular DBMS.

Dynamic SQL in Oracle*

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dbsqlexec() or dbresults() and dblib receives the error message from SQL Server, it upcalls the msg_rtn() routine in the program, passing it five parameters: I dbproc. The connection on which the error occurred I msgno. The SQL Server error number identifying the error I msgstate. A parameter providing information about the error context I severity. A number indicating the seriousness of the error I msgtext. An error message corresponding to msgno The msg_rtn() function in this program handles the message by printing it and saving the error number in a program variable for use later in the program. When the message-handling function returns to dblib (which called it), dblib completes its own processing and then returns to the program with a FAIL status. The program can detect this return value and perform further error processing, if appropriate. The program excerpt in the figure actually presents a simplified view of SQL Server error handling. In addition to SQL statement errors detected by SQL Server, errors can also occur within the dblib API itself. For example, if the network connection to the SQL Server is lost, a dblib call may time out waiting for a response from SQL Server, resulting in an error. The API handles these errors by upcalling a separate error-handling function, which operates much like the message-handling function described here.

The Oracle DBMS preceded DB2 into the market and based its dynamic SQL support on IBM s System/R prototype. (Actually, the entire original Oracle DBMS was independently developed from the publicly available specifications for System/R.) For this reason, the Oracle support for dynamic SQL differs somewhat from the IBM SQL standard. Although Oracle and DB2 are broadly compatible, they differ substantially at the detail level.

A comparison of Figure 19-6 with Figures 17-10 and 17-13 illustrates the differences in error-handling techniques between dblib and embedded SQL: I In embedded SQL, the SQLCA structure is used to signal errors and warnings to the program. SQL Server communicates errors and warnings by upcalling special functions within the application program and returning a failure status for the API function that encountered the error. I In embedded SQL, error processing is synchronous. The embedded SQL statement fails, control returns to the program, and the SQLCODE or SQLSTATE value is tested. SQL Server error processing is asynchronous. When an API call fails, SQL Server calls the application program s error-handling or messagehandling function during the API call. It returns to the application program with an error status later. I Embedded SQL has only a single type of error and a single mechanism for reporting it. The SQL Server scheme has two types of errors and two parallel mechanisms. In summary, error handling in embedded SQL is simple and straightforward, but the application program can make only a limited number of responses when an error occurs. A SQL Server program has more flexibility in handling errors. However, the upcall scheme used by dblib is more sophisticated, and while it is familiar to systems programmers, it may be unfamiliar to application programmers.

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