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In the Order Date and Employee dimensions, you have nongranularity attributes available for specification of a partition count. With Order Date, the Year and Fiscal Year attributes are available because they are each top-level attributes of user hierarchies. In the case of Employee, the Employees attribute is the parent attribute for this parent-child dimension. 7. Click Next. 8. With the current setting to design for a performance gain of 100%, click Start. The number of aggregations is increased to 19 because the number of rows for each granularity attribute is relatively low compared to the large fact table. In this type of situation, query performance can be improved considerably by a large number of aggregations to save the time of computing the aggregated values on demand. 9. Click Back, and then change the Partition Count for both Date and Product to 100,000. 10. Click Next, and then click Start. Notice when one or more of your attributes has a large partition count relative to the fact table, the number of aggregations designed is different from what the number would be if the attribute had a low partition count. Generally speaking, this aggregation count, while lower than the previous example, has a greater number of aggregations than that produced by using just the estimated count. In practice, you should rely on the 30% performance gain method of designing aggregations after you specify reasonably close estimates of the counts you expect in the

This is very stupid code. It s completely legal and would compile and run, but it s still very stupid, because the 100-element array that was created in the second statement is immediately made useless in the third, where pressedKeys is made to refer to another, larger array. This approach is like building a brand-new office and then destroying the only copy of the telephone number that could be used to contact it. The garbage collector would eventually notice that the array object had no references referring to it and would destroy it, but until this happened, a large chunk of memory would be unusable. The Great Programmer makes sure that when she writes a program, it does not repeatedly create and destroy objects in this way; as a result, her software runs quickly and uses only the minimum amount of memory.

Part II:

You can see that reference variables are quite different from ordinary variables that simply hold values. It s important that you understand the difference. A reference variable holds the telephone number of an instance of an object. A value variable holds a particular value, like this:

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fact and dimension tables after six months or so. The wizard will design a basic set of aggregations that will help queries perform better until the cube has been in production long enough for you to tune the aggregations by using the Usage-Based Optimization Wizard. You ll learn how to use that wizard later in this chapter. 11. Click Finish twice to complete the wizard without processing the partition.

int myAge; myAge = 21;

What if you want to make other attributes available for consideration in the aggregation design Currently, only the granularity attribute and the top-level attributes in any user hierarchies are available for consideration by the Aggregation Design Wizard. The AggregationUsage property can be set for each attribute of a dimension. Most of the time you can leave the default value of Default for this property and get adequate aggregation designs. However, when you have certain attributes that are used frequently, and have a relatively small number of members, you might consider adding them to the pool of potential candidates for aggregation. In the Product dimension, for example, there are a lot of Products, but only a few colors. If Color is queried frequently, then it might be a good candidate for aggregations. In this procedure, you ll add the Color attribute to the aggregation design pool. Set the AggregationUsage property for an attribute 1. Click the Cube Structure tab of the Cube Designer for the SSAS 7 cube, and then click the Attributes tab in the Dimensions pane. 2. Expand Product. 3. Click Color, and then in the Properties window, select Full in the AggregationUsage property s drop-down list. After changing this property, you ll need to run the Aggregation Design Wizard to have the attribute considered for aggregations. 4. Click the Partitions tab, click in the Aggregations column for Fact Reseller Sales partition, and then click the ellipsis button to launch the wizard. Tip

These statements declare an int variable called myAge and set it to the rather optimistic (in my case) value of 21. You can think of myAge as a piece of paper with space to write a single integer value on it. When a value is assigned to the variable, it s equivalent to writing a new number on the paper. If I assign the value in myAge to another int variable, the value on the paper is copied across.