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Using the embedded SQL features described thus far, you can embed any interactive SQL statement except the SELECT statement in an application program. Retrieving data with an embedded SQL program requires some special extensions to the SELECT statement. The reason for these extensions is that there is a fundamental mismatch between the SQL language and programming languages such as C and COBOL: a SQL query produces an entire table of query results, but most programming languages can manipulate only individual data items or individual records (rows) of data. Embedded SQL must build a bridge between the table-level logic of the SQL SELECT statement and the row-by-row processing of C, COBOL, and other host programming languages. For this reason, embedded SQL divides SQL queries into two groups: I Single-row queries. You expect the query results to contain a single row of data. Looking up a customer s credit limit or retrieving the sales and quota for a particular salesperson are examples of this type of query. I Multirow queries. You expect that the query results may contain zero, one, or many rows of data. Listing the orders with amounts over $20,000 or retrieving the names of all salespeople who are over quota are examples of this type of query. Interactive SQL does not distinguish between these two types of queries; the same interactive SELECT statement handles them both. In embedded SQL, however, the two types of queries are handled very differently. Single-row queries are simpler to handle and are discussed in the next section. Multirow queries are discussed shortly.



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Data Templates................................................................................................... 338 Views .................................................................................................................. 346 Filtering in a View ............................................................................................... 347 Sorting in a View ................................................................................................. 351 Grouping in a View .............................................................................................. 354 Summary ............................................................................................................ 358





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Many useful SQL queries return a single row of query results. Single-row queries are especially common in transaction-processing programs, where a user enters a customer number or an order number and the program retrieves relevant data about the customer or order. In embedded SQL, single-row queries are handled by the singleton SELECT statement, shown in Figure 17-19. The singleton SELECT statement has a syntax much like that of the interactive SELECT statement. It has a SELECT clause, a FROM clause, and an optional WHERE clause. Because the singleton SELECT statement returns a single row of data, there is no need for a GROUP BY, HAVING, or ORDER BY clause. The INTO clause specifies the host variables that are to receive the data retrieved by the statement. Figure 17-20 shows a simple program with a singleton SELECT statement. The program prompts the user for an employee number and then retrieves the name, quota, and sales of the corresponding salesperson. The DBMS places the three retrieved data items into the host variables repname, repquota, and repsales, respectively.

ASCII Value 0110000 0110001 0110010 0110011 0110100 0110101 0110110 0110111 0111000 0111001 1000001 1000010 1000011 1000100 1000101 1000110 1000111

17:

Figure 17-19.

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Recall that the host variables used in the INSERT, DELETE, and UPDATE statements in the previous examples were input host variables. In contrast, the host variables specified in the INTO clause of the singleton SELECT statement are output host variables. Each host variable named in the INTO clause receives a single column from the row of query results. The select list items and the corresponding host variables are paired in sequence, as they appear in their respective clauses, and the number of query results columns must be the same as the number of host variables. In addition, the data type of each host variable must be compatible with the data type of the corresponding column of query results. Most DBMS brands will automatically handle reasonable conversions between DBMS data types and the data types supported by the programming language. For example, most DBMS products will convert MONEY data retrieved from the database into packed decimal (COMP-3) data before storing it in a COBOL variable, or into floating point data before storing it in a C variable. The precompiler uses its knowledge of the host variable s data type to handle the conversion correctly. Variable-length text data must also be converted before being stored in a host variable. Typically, a DBMS converts VARCHAR data into a null-terminated string for C programs and into a variable-length string (with a leading character count) for Pascal

Figure 2-6. Add references to PresentationCore, PresentationFramework, and WindowsBase. When you ve added these references, you should be able to find them in the References folder of the Solution Explorer, as shown in Figure 2-7.

begin declare section; repnum; repname[16]; repquota; repsales; end declare section;

Character H I J K L M N O P Q R S T U V W X Y Z ASCII Value 1001000 1001001 1001010 1001011 1001100 1001101 1001110 1001111 1010000 1010001 1010010 1010011 1010100 1010101 1010110 1010111 1011000 1011001 1011010 Decimal Value 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90

/* /* /* /*

employee number (from user) */ retrieved salesperson name */ retrieved quota */ retrieved sales */

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