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he query tree class shown in 10 and the heuristic optimizer shown in 11 form the first two of the three components that make up the DBXP query execution engine. In this chapter, I ll show you how to expand the query tree class to process project, restrict, and join operations. This will give you a glimpse into the world of database query execution. I ll begin by briefly explaining the basic principles of the query execution algorithms and then jump into writing the code. Because the code for some of the methods is quite lengthy, not all of the code examples shown in this chapter include the complete source code. If you are following along by coding the examples, consider loading the source code for this chapter and using it rather than typing in the code from scratch.

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> ajc Home.java TestHome.java HomeSecurityAspect.java SaveEnergyAspect.java HomeSystemCoordinationAspect.java > java TestHome Engaging Switching off lights Exiting

The query execution process is the implementation of the various relational theory operations. These operations include project, restrict, join, cross-product, union, and intersect. Few database systems implement union and intersect.

You have monthly insurance policy counts for your regional offices. You d like to compare canceled policies in each region, for both auto policies and property policies. In your pivot table, Region is in the row area, Policy Type is in the column area, and Sum of Policies is in the data area. Policy Status is in the page area, and Cancel has been selected (see the table at the left in Figure 3-16).

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This is exactly what we wanted. We could have added the declare precedence clause in either HomeSecurityAspect or SaveEnergyAspect and gotten the same result. However, this kind of modification would require the creation of an undesirable coupling between the two. Let s examine more examples of the declare precedence clause to better understand it. Since the clause expects a list of TypePatterns, we can use wildcards in aspect names. The following declaration causes all aspects whose names start with Auth, such as AuthenticationAspect and AuthorizationAspect, to dominate the PoolingAspect:

Note Union and intersect are not the same as the UNION operator in SQL. The union and intersect relational

Use the Index option to show the relative weight of each cell when compared to its row total, its column total, and the grand total.

declare precedence : Auth*, PoolingAspect;

operations are set operations whereas the UNION operator in SQL simply combines the results of two or more SELECT statements that have compatible result columns.

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In this declaration, however, the precedence between two aspects starting with Auth is unspecified. If controlling the precedence between two such aspects is important, you will need to specify both aspects in the desired order. Since declare precedence takes a type list, you can specify a sequence of domination. For example, the following declaration causes aspects whose names start with Auth to dominate both PoolingAspect and LoggingAspect, while also causing PoolingAspect to dominate LoggingAspect:

Writing algorithms to implement these operations is very straightforward and often omitted from relational theory and database systems texts. It is unfortunate that the algorithms are omitted because the join operation is nontrivial. The following sections describe the basic algorithms for the relational operations.

1. Right-click on the Sum of Total button, and choose Field Settings. 2. Click the Options button. 3. From the dropdown list for Show data as, select Index, then click OK.

declare precedence : Auth*, PoolingAspect, LoggingAspect;

The project (or projection) operation is one where the result set contains a subset of the attributes (columns) in the original relation (table).1 Thus, the result set can contain fewer

It is common for certain aspects to dominate all other aspects. You can use a * wildcard to indicate such an intention. The following declaration causes AuthenticationAspect to dominate all the remaining aspects in the system:

In each cell, you can see its index (see the table at the right in Figure 3-16).

1. For simplicity, I ll use the attribute/column, tuple/row, and relation/table terms interchangeably. 489

declare precedence : AuthenticationAspect, *;

attributes than the original relation. Users specify projections in a SQL SELECT command by listing the desired columns in the column list immediately following the SELECT keyword. For example, the following command projects the first_name and last_name columns from the staff table. SELECT first_name, last_name FROM staff The project algorithm to implement this operation is shown in Listing 12-1. Listing 12-1. Project Algorithm begin do get next tuple from relation for each attribute in tuple if attribute.name found in column_list write attribute data to client fi while not end_of_relation end As you can see from the listing, the code to implement this algorithm limits sending data to the client to the data specified in the column list.

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