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With the histograms in place, I achieved reasonable, though not fantastic, accuracy over a wide range of overlaps. With the histograms I chose initially, the computed cardinality went back to 1,000,000 when the low value on t1 went below 22 or above 77. You will notice that in the 99 row, I have shown a join cardinality of 10,615 in parentheses. When I changed my histogram definitions, the optimizer got accurate figures, as t1.join1 varied all the way from 99 to +99, before flipping back to a computed cardinality of 1,000,000 when t1.join1 hit +/ 100. Histograms look helpful although they do introduce a new problem when the data sets don t overlap at all. So what was special about my final choice of histograms, and why did one set of histogram definitions give better results than another After all, given the way I have been generating my data using the dbms_random.value() procedure, there aren t likely to be any extreme values. The answer is that one set of histograms was built with 85 buckets, the other was built with a nominal 254.

Speed dialing is a great way to call your frequent contacts quickly. Just assign them a one-digit number key (or character key) that you hold, and their number is automatically dialed. You have up to 26 speed dial entries.

Recall that 254 buckets is (currently) the maximum number of buckets you can request for a histogram. The histogram will be a frequency histogram when the number of buckets exceeds the number of different values. If a histogram on a column is going to be beneficial, you may as well ask for the maximum bucket count as a first guess at the best number of buckets the marginal cost of the extra buckets (the default is 75) is not significant for the potential benefit you could gain from the extra precision.

There are a few ways to set up speed dialing on your BlackBerry. TIP: The easiest way to set a speed dial letter on your keyboard is to press and hold it from your Home screen. You will be asked if you want to set it as a speed dial. Select Yes and select the person from your contacts list to assign.

Listing 5-34. Using an ArrayList // arraylist.cpp using namespace System; using namespace System::Collections; int main() { ArrayList^ array_list = gcnew ArrayList(); array_list->Add("apple"); array_list->Add("banana"); // Iterate using the for each operator. for each (String^ s in array_list) { Console::WriteLine( s ); } // Iterate using indexing. for (int i = 0; i < array_list->Count; i++) { Console::WriteLine("{0} {1}", i, array_list[i]); } } The output of Listing 5-34 is as follows: apple banana 0 apple 1 banana The problem with the ArrayList class is that it represents an untyped collection. Unlike an array, which forces its elements to be of the specified type, the ArrayList used in the previous example has no such enforcement. Fortunately, there is a solution in the form of the generic ArrayList class. As you saw briefly in 2, it is possible in C++/CLI to use a generic class that contains an unknown type parameter. In the .NET Framework generic List class, in the namespace System::Collections::Generic, the element type is the generic type parameter. Using this generic List class, you can have a strongly typed version of the ArrayList (see Listing 5-35). For more information on generics, see 11.

Since I had only 100 different values in the columns, the histograms with 254 buckets actually collapsed to become high-precision frequency histograms with 100 endpoints and an exact picture of the current data content so the optimizer was able to make very good use of them, even in the join. The histograms with 85 buckets were the more common height balanced histograms, and the critical feature was that one of them (in fact the one at the t2 end of the join) did show a popular value. It seems that if You are running 9i or 10g, And you have histograms at both ends of an equality join, And at least one histogram either is a frequency histogram or shows a popular value, then the optimizer has some method (somehow comparing the histogram data to estimate the number of rows and distinct values in each table in the overlap) that makes it possible to allow for joins where there is only a partial overlap in the ranges of values in the columns being joined. Don t take this as a directive to build histograms all over the place, though. It is useful to know, however, so that you can test the effects, when you find those few critical pieces of SQL where you can see a join cardinality going badly wrong.

1. 2. Press the Green Phone key to see your call logs. Highlight the call log entry (either phone number or name) that you want to add to speed dial and press the Menu key. Select Add Speed Dial.