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Figure 8-12. An outer join query searching for employees not booked in July and August 2003.
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As you did in the previous outer join example, include some fields from the tblEmployees table and at least one field from the query that contains reservations only from July and August 2003. In the field from the query, add the special Is Null criterion. When you run this query (the results of which are shown in Figure 8-13), you should find four employees who haven t booked a room in July and August 2003 including the one employee that you found earlier who hasn t booked any room at all. This query is saved as qxmplEmpNotBookedJulAug in the HousingDataCopy.mdb database.
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Figure 8-13. The employees without any bookings in July and August 2003.
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Part 2: Building a Microsoft Access Desktop Application
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Part 1: Part Title
Microsoft Office Access 2003 Inside Out Let s study another example. When you re looking at reservation requests, and each request indicates the particular type of room desired, it might be useful to know either which facilities have this type of room or which facilities do not. (Not all facilities have all the different types of rooms.) You can find a complete list of the room types in the tlkpRoomTypes table in the Housing Reservations application. To find out which room types aren t in a facility, you might try an outer join from tlkpRoomTypes to tblFacilityRooms and look for Null again, but all you d find is that all room types exist somewhere you wouldn t know which room type was missing in what facility. In truth, you need to build a query first that limits room types to one facility. Your query should look something like Figure 8-14.
Part 2: Building a Microsoft Access Desktop Application
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Figure 8-14. A query that lists all the rooms and their room types in Facility number 1.
Now you can build your outer join query to find out which room types aren t in the first housing facility. Start a query on tlkpRoomTypes and add the query qxmplRoomsFacility1. Double-click the join line and ask for all rows from tlkpRoomTypes and any matching rows from the query. Add the RoomType field from tlkpRoomTypes and the FacilityID field from the query to the grid. Under FacilityID, place a criterion of Is Null. Your query should look like Figure 8-15.
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Figure 8-15. A query to find out which room types are not in Facility number 1.
Part 1: Part Title
Building Complex Queries If you run this query, you ll find that Facility number 1 has no one-bedroom suites with king bed and kitchenette, no one-bedroom suites with two queen beds, and no simple rooms with only a king bed. In the sample database, you ll find sample queries that return the room types for the other three facilities, so you can build queries like the one in Figure 8-15 to find out what room types are missing in those facilities.
Using a Query Wizard
Every time you have opened the New Query dialog box, you have seen the tantalizing query wizard entries. You can use query wizards to help you build certain types of tricky queries such as crosstab queries (discussed later in this chapter) and queries to find duplicate or unmatched rows. For example, you could have used a query wizard to build the query shown in Figure 8-9 to locate employees who have no room reservations. Let s use a query wizard to build a query to perform a similar search in the ContactsDataCopy.mdb sample file to find contacts who don t own any products. To try this, click the Queries button in the Database window, and then click the New button. This time, select Find Unmatched Query Wizard in the New Query dialog box, as shown in Figure 8-16.
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Figure 8-16. Selecting a query wizard.
The wizard opens a window with a list of tables from which you can select the initial records, as shown in Figure 8-17 on the next page. If you want to use an existing query instead of a table, select the Queries option. If you want to look at all queries and tables, select the Both option. In this case, you re looking for contacts who haven t purchased any products, so select the tblContacts table and then click the Next button. In the next window, select the table that contains the related information you expect to be unmatched. You re looking for contacts who have purchased no products, so select the tblContactProducts table and then click the Next button to go to the next window, shown in Figure 8-18 on the next page.
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