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We still needed a way to quickly get back to the dashboard side, so we created a fullwidth button at the bottom of these screens for switching back. While a back button is typically placed top-left within an application s design, this back button was different. The user wasn t moving back within the structural flow but was navigating between the two sides of the application. Another reason for my decision to place the button at the bottom of the screen was that it corresponded with the tab bar on its alternate side (see Figure 4-8). I designed the button to look very different from the default tab bar by using a light blue. I found this color difference important, because my button was functionally different than a typical tab bar and better suited to be a custom UI element. I also used this area to show the project and client name, in that order. There were extra benefits from the switch as well, which we soon discovered. As the tab bar is restricted to five items, our custom element meant projects could hold more than five items, which was useful when we added project-specific Recent Items and began considering to add time tracking (a feature of higher level Basecamp plans). To polish off the button, we also added a flip animation when going between the two states. In regard to user experience, I think this animation really helped explain the alternating state of the application. We also modified the header color for projects to be a tinge lighter than that of dashboard screens.

If the single-table access path estimates are incorrect (see the section Generating 10053 Cost-Based Optimizer Traces in 9 to determine how to obtain the single-table access estimates for all tables involved), then the optimizer might start the join with the wrong table/row source, causing the joins to process more rows than expected When an underestimate of cardinality is encountered, check the object statistics and predicates applied In particular, when using functions in predicates, the default of 1 percent or 5 percent selectivity depending on the comparison method (equality or inequality comparisons such as ranges, respectively) is used by the optimizer, which might be significantly different from the actual selectivity of the function General inefficient join order: Estimating the correct join selectivity/cardinality is one of the biggest challenges to the optimizer If the join selectivity/cardinality estimate is wrong, the effects of the miscalculation will echo through the remaining plan.

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// Source file name Assembly2.cs using System; using BaseClassNS; Namespace containing declaration of base class namespace UsesBaseClass { Base class in other assembly class DerivedClass: MyBaseClass { // Empty body } class Program { static void Main( ) { DerivedClass mdc = new DerivedClass(); mdc.PrintMe(); } } } This code produces the following output: I am MyBaseClass

Next up is a pair of functions for adding or subtracting timeval values, shown in Listing 6-24.

This potentially leads to an inefficient overall join order used by the optimizer, which then results in more rows being processed than necessary The objective here is to eliminate rows as early as possible Multicolumn joins: When joining tables on multiple columns, the optimizer might significantly underestimate the resulting join cardinality if the join columns are correlated If the number of distinct values of the combined join columns is less than the multiplied number of distinct values for each individual column (for example, 20 distinct values in COL1 and 10 distinct values in COL2, but only 30 distinct values for COL1, COL2 instead of 20 10 = 200), then you have identified.

Finally, to use Web Services, the configuration would look like this: < xml version="1.0" encoding="utf-8" > <configuration> <appSettings> <add key="CslaAuthentication" value="Csla" />

To Save or Copy a graphic, touch and hold the picture or image until you see the popup asking if you would like to Save or Copy the image.

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