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PART V
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if (sqlca.sqlcode < 0) goto error_routine; . . . error_routine: printf("SQL error: %ld\n, sqlca.sqlcode); exit(); . . .
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Part V:
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FIGURE 19-9 A C embedded SQL program excerpt with GET DIAGNOSTICS error checking (from Figure 17-14)
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. . . /* execute the DELETE statement & check for errors */ exec sql delete from salesreps where quota < 150000; if (strcmp(sqlca.sqlstate,"00000")) goto error_routine; /* DELETE successful; check how many rows deleted */ exec sql get diagnostics :numrows = ROW_COUNT; printf("%ld rows deleted\n",numrows); . . . error_routine: /* Determine how many errors reported */ exec sql get diagnostics :count = NUMBER; for (i=1; i<count; i++) { exec sql get diagnostics EXCEPTION :I :err = RETURNED_SQLSTATE, :msg = MESSAGE_TEXT; printf("SQL error # %d: code: %s message: %s\n", I, err, msg); } exit(); . . .
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The SQL Server technique for handling programmatic queries is very similar to its technique for handling other SQL statements. To perform a query, a program sends a SELECT statement to SQL Server and uses dblib to retrieve the query results row by row. The program in Figure 19-10 illustrates the SQL Server query-processing technique. 1. The program uses the dbcmd() and dbsqlexec() calls to pass a SELECT statement to SQL Server and request its execution. 2. When the program calls dbresults() for the SELECT statement, dblib returns the completion status for the query and also makes the query results available for processing.
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19:
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3. The program calls dbbind() once for each column of query results, telling dblib where it should return the data for that particular column. The arguments to dbbind() indicate the column number, the expected data type, the size of the buffer, and the buffer to receive its data. 4. The program loops, calling dbnextrow() repeatedly to obtain the rows of query results. The API places the returned data into the data areas indicated in the previous dbbind() calls. 5. When no more rows of query results are available, the dbnextrow() call returns the value NO_MORE_ROWS. If more statements were in the statement batch following the SELECT statement, the program could call dbresults() to advance to the next statement. Two of the dblib calls in Figure 19-10, dbbind() and dbnextrow(), support processing of the SQL Server query results. The dbbind() call sets up a one-to-one correspondence between each column of query results and the program variable that is to receive the retrieved data. This process is called binding the column. In the figure, the first column (NAME) is bound to a 16-byte character array and will be returned as a NULLterminated string. The second and third columns, QUOTA and SALES, are both bound to floating point numbers. It is the programmer s responsibility to make sure that the data type of each column of query results is compatible with the data type of the program variable to which it is bound. Once again, it is useful to compare the SQL Server query processing in Figure 19-10 with the embedded SQL queries in Figure 17-20 and Figure 17-23, reproduced here as Figures 19-11 and 19-12, respectively: Embedded SQL has two different query-processing techniques one for single-row queries (singleton SELECT) and one for multirow queries (cursors). The dblib API uses a single technique, regardless of the number of rows of query results. To specify the query, embedded SQL replaces the interactive SELECT statement with the singleton SELECT statement or the DECLARE CURSOR statement. With SQL Server, the SELECT statement sent by the program is identical to the interactive SELECT statement for the query. With embedded SQL, the host variables that receive the query results are named in the INTO clause of the singleton SELECT or the FETCH statement. With SQL Server, the variables to receive query results are specified in the dbbind() calls. With embedded SQL, row-by-row access to query results is provided by specialpurpose embedded SQL statements (OPEN, FETCH, and CLOSE). With SQL Server, access to query results is through dblib function calls (dbresults() and dbnextrow()), which keep the SQL language itself more streamlined. Because of its relative simplicity and its similarity to the interactive SQL interface, many programmers find the SQL Server interface easier to use for query processing than the embedded SQL interface.
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