rdlc data matrix

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rdlc data matrix

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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 19-7, 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 NULL-terminated 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 19-7 with the embedded SQL queries in Figure 17-20 and Figure 17-23: I 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 I 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.

I 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 I With embedded SQL, row-by-row access to query results is provided by special-purpose 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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The dbnextrow() and dbbind() calls shown in Figure 19-7 provide a simple way to retrieve query results, but they do not support NULL values. When a row retrieved by

19:

dbnextrow() includes a column with a NULL value, SQL Server replaces the NULL with a NULL substitution value. By default, SQL Server uses zero as a substitution value for numeric data types, a string of blanks for fixed-length strings, and an empty string for variable-length strings. The application program can change the default value for any data type by calling the API function dbsetnull(). In the program shown in Figure 19-7, if one of the offices had a NULL value in its QUOTA column, the dbnextrow() call for that office would retrieve a zero into the quota_value variable. Note that the program cannot tell from the retrieved data whether the QUOTA column for the row really has a zero value, or whether it is NULL. In some applications, the use of substitution values is acceptable, but in others, it is important to be able to detect NULL values. These latter applications must use an alternative scheme for retrieving query results, described in the next section.