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Using dblib for a dynamic query
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SQL APIs
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/* Query the SQL Server system catalog to get column names */ dbcmd(dbproc, select name from syscolumns ); dbcmd(dbproc, where id = (select id from sysobjects ); dbcmd(dbproc, where type = U and name = ); dbcmd(dbproc, querytbl); dbcmd(dbproc, ) ); dbsqlexec(dbproc); /* Process the results of the query */ dbresults(dbproc); dbbind(dbproc, querycol); while (status = dbnextrow(dbproc) == SUCCEED) { printf( Include column %s (y/n) , querycol); gets(inbuf); if (inbuf[0] == y ) { /* User wants the column; add it to the select list */ if (first_col++ > 0) strcat(stmbuf, , ); strcat(stmbuf, querycol); } } /* Finish the SELECT statement with a FROM clause */ strcat(stmbuf, from ); strcat(stmbuf, querytbl); /* Execute the query and advance to the query results */ dbcmd(dbproc, stmbuf); dbsqlexec(dbproc); dbresults(dbproc); /* Ask dblib to describe each column, allocate memory & bind it */ colcount = dbnumcols(dbproc); for (i = 0; i < colcount; i++) { item_name[i] = dbcolname(dbproc, i); type = dbcoltype(dbproc, i); switch(type) { case SQLCHAR: case SQLTEXT:
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case SQLDATETIME: length = dbcollen(dbproc, i) + 1; item_data[i] = address = malloc(length); item_type[i] = NTBSTRINGBIND; dbind(dbproc, i, NTBSTRINGBIND, length, address); break; case SQLINT1: case SQLINT2: case SQLINT4: item_data[i] = item_type[i] = dbbind(dbproc, break; case SQLFLT8: case SQLMONEY: item_data[i] = item_type[i] = dbbind(dbproc, break; } } /* Fetch and display the rows of query results */ while (status = dbnextrow(dbproc) == SUCCEED) { /* Loop, printing data for each column of the row */ printf( \n ); for (i = 0; i < colcount; i++) { /* Find the SQLVAR for this column; print column label */ printf( Column # %d (%s): , i+1, item_name[i]; /* Handle each data type separately */ switch(item_type[i]) { case NTBSTRINGBIND: /* Text data just dispay it */ puts(item_data[i]); break;
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address = malloc(sizeof(long)): INTBIND; i, INTBIND, sizeof(long), address);
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address = malloc(sizeof(double)); FLT8BIND; i, FLT8BIND, sizeof(double), address);
Figure 19-10.
Using dblib for a dynamic query (continued)
19:
SQL APIs
case INTBIND: /* Four-byte integer data convert & display it */ printf( %lf , *((double *) (item_data[i]))); break; case FLT8BIND: /* Floating-point data convert & display it */ printf( %lf , *((double *) (item_data[i]))); break; } } } printf( \nEnd of data.\n ); /* Clean up allocated storage */ for (i = 0; i < colcount; i++) { free(item_data[i]); } dbexit(dbproc); exit(); }
Figure 19-10.
Using dblib for a dynamic query (continued)
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.
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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.
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