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This sequence of statements accomplishes the goal: SET CONSTRAINTS quota_totals DEFERRED INSERT INTO SALESREPS (EMPL_NUM, NAME, REP_OFFICE, HIRE_DATE, QUOTA, SALES) VALUES (:num, :name, :office_num, :date, :amount, 0) UPDATE OFFICES SET TARGET = TARGET + :amount WHERE (OFFICE = :office_num) COMMIT After the COMMIT statement ends the transaction, the quota_totals constraint is reset.

Fixed part COUNT TYPE LENGTH OCTET_LENGTH RETURNED_LENGTH RETURNED_OCTET_LENGTH PRECISION SCALE DATETIME_INTERVAL_CODE DATETIME_INTERVAL_PRECISION NULLABLE INDICATOR DATA NAME UNNAMED Figure 18-18. number of items described data type of item length of item length of item (in 8-bit octets) length of returned data item length of returned data (in 8-bit octets) precision of data item scale of data item type of date/time interval data precision of date/time interval data can item be NULL is data item NULL (indicator value) data item itself

18:

Variable part one occurrence per item (parameter or query results column):

Dynamic SQL*

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After building the UPDATE statement text in its buffer, the program asks the DBMS to compile it with the PREPARE statement. The program then enters a loop, prompting the user to enter pairs of parameter values to perform a sequence of table updates. This user dialog shows how you could use the program in Figure 18-4 to update the quotas for selected salespeople:

them, placing data items into them, extracting data from them via a new set of dynamic SQL statements specially designed for that purpose. Figure 18-19 summarizes these SQL2 descriptor management statements. To understand how the SQL2 descriptor management statements work, it s instructive to reexamine the dynamic SQL update program in Figure 18-8. This program illustrates the use of a DB2-style SQLDA in an EXECUTE statement. The flow of the program remains identical if a SQL2 descriptor is used instead, but the specifics change quite a lot. Before using the descriptor, the program must create it, using the statement:

Enter name of table to be updated: staff Enter name of column to be searched: empl_num Enter name of column to be updated: quota Enter search value for empl_num: 106 Enter new value for quota: 150000.00 Another (y/n) y Enter search value for empl_num: 102 Enter new value for quota: 225000.00 Another (y/n) y Enter search value for empl_num: 107 Enter new value for quota: 215000.00 Another (y/n) n Updates complete.

ALLOCATE DESCRIPTOR parmdesc WITH MAX :parmcnt;

- 230 -

This program is a good example of a situation where two-step dynamic execution is appropriate. The DBMS compiles the dynamic UPDATE statement only once, but executes it three times, once for each set of parameter values entered by the user. If the program had been written using EXECUTE IMMEDIATE instead, the dynamic UPDATE statement would have been compiled three times and executed three times. Thus, the two-step dynamic execution of PREPARE and EXECUTE helps to eliminate some of the performance disadvantage of dynamic SQL. As mentioned earlier, this same two-step approach is used by all of the callable SQL APIs described in 19.

This statement replaces the allocation of storage for the parmda data structure at callout 1 in Figure 18-8. The descriptor (named parmdesc) will perform the same functions as the parmda. Note that the program in Figure 18-8 had to calculate how much storage would be required for the parmda structure before allocating it. With the

The PREPARE statement, shown in Figure 18-5, is unique to dynamic SQL. It accepts a host variable containing a SQL statement string and passes the statement to the DBMS. The DBMS compiles the statement text and prepares it for execution by generating an application plan. The DBMS sets the SQLCODE/SQLSTATE variables to indicate any errors detected in the statement text. As described previously, the statement string can contain a parameter marker, indicated by a question mark, anywhere that a constant can appear. The parameter marker signals the DBMS that a value for the parameter will be supplied later, when the statement is actually executed.

Figure 18-19.

FIGURE 18-5

18:

Part V:

Dynamic SQL *

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