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The advantage of using the FILTER command over Quick Select is that you can create morecomplex filters and save them. To create a filter, type filter on the command line to open the Object Selection Filters dialog box, as shown in Figure 10-42. If you ve already chosen a command, type 'filter at the Select objects: prompt to create the selection filter transparently. The box at the top of the dialog box lists the filters that you specified.

The Shifts table is similar to the TimeEntries table except it doesn t have a PaidDate eld. Its EmployeeId, Date, StartTime, and StopTime elds make up its primary key. EmployeeId is a foreign key constraint referring to the Employees table, so it is completely constrained. The table should also contain the following eld-level sanity check constraints: Date > = some early date such as the date the database is put into use. StartTime > = 6am. StopTime < = 11pm.

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In this method, you create a DocumentFragment object and pass it to the handleAction method of queryAction. The queryAction then appends the results of the query to it. You then append resultFrag to the result node and that outputs the XML to the datagram. But where does the query come from The query comes from the XSQL page, just as with a real xsql:query action. The XSQL below shows an example of this. The SQL query is inside the xsql:action element.

The PixPicturePrintRequest POJO holds the order request that is to be sent by the client that needs to place the print order. Take a look at the listing for this simple POJO:

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times or more as much. Indonesian planners counted more than Dutch, but the difference was not signi cant (x2 4.71; p , 0.19; df 3). No difference between domains was found (x2 2.85; p , 0.82; df 6). 4.3.2.3.4. Amount of Mistakes. The amount of mistakes indicates that we had to correct the planners if they unjustly thought they were nished; that is, they solved the planning problem (Table 4.13). The kind of categorization (in little, medium, and much) used for counting was also used for mistakes. If they corrected the mistakes themselves, it was not scored. There was an overall tendency of making only a few mistakes, showing no differences between countries (x2 4.95; p , 0.17; df 3) or domains (x2 6.79; p , 0.30; df 6). 4.3.2.3.5. Constraint Relaxation. Although the domains were different, the mathematics behind the problem was the same. The reason we manipulated the planning problem in this way was that we wanted to have information on the problem representation of the planners. We argued earlier that we wanted to nd out whether the domain determines the way planners solve a planning problem. We hypothesized that planners from whatever domain use a general (cognitive) planning strategy. The planning problem was created such that the planner was not able to solve the problem within the constraints. The constraints could be relieved in several ways. Table 4.14 enumerates the constraints mentioned by the planners. It reads as follows. In the staff scheduling problem, for example, the ratio of nurses and doctors could be changed from 3:1 into 2:1 for some days. In the production planning problem the service of one of the machines could be postponed, and in the transportation planning problem the properties of the containers with the products could be changed.

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