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Generics are most often used to implement collection classes. Generic collection classes are more type-safe and can be faster than the alternative nongeneric collection classes relying on handles to Object to represent items in the collection. The main efficiency gain is that the retrieval of items from the collection can be done without the use of casts, which usually requires a dynamic type check when the type is retrieved from the collection, or maybe even when adding elements to the collection. Also, if you are using value types, you can often avoid boxing and unboxing entirely by using a generic collection class. In addition to efficiency gains, if you use a generic type, you automatically force the objects in the collection to be of the appropriate type. Since most collections hold objects of the same type (or perhaps types with a common base type), this helps avoid programmatic errors involving adding objects of the wrong type to the collection. In addition, having the strongly typed collection leaves no doubt as to type needed, which is a relief to anyone who has had to try to figure out what type(s) a poorly documented, weakly typed collection takes. In order to use the for each statement on a generic collection, the collection must implement the IEnumerable interface, and you must implement an enumerator class to walk through each element of the collection. Listing 11-8 shows the use of generics to create a linked list class that supports the for each statement to iterate through the generic collection. The generic collection implements IEnumerable, and an enumerator class implementing the IEnumerator interface is created to allow the for each statement to work.

Internally, the optimizer will convert a predicate like month_no in (6,7,8) to month_no = 6 or month_no = 7 or month_no = 8. If you add the use_concat hint to the query, the optimizer will then transform the plan into a union all of its three component parts at which point 8i suddenly produces the correct cardinality. The error that 8i suffers from is that after splitting the list into three separate predicates, it applies the standard algorithm for multiple disjuncts (the technical term for OR ed predicates). This algorithm generically corrects for rows double-counted where the predicates overlap but of course, the predicates generated from an in-list are guaranteed not to overlap. 8i transforms the SQL to produce a very special case of disjuncts, and then fails to process it correctly.

Click on the Invitations icon to see if you have any pending invitations for connections. You can also press the Menu key and select Compose New Invitation. 1. Type in the e-mail address of the individual you would like to add to your LinkedIn network. Edit the text below the e-mail field. Press the Menu key and select Send.

When an oddity like this shows up, you need to think of two things. First: is the example a special case (Our column has only 12 distinct values would the problem occur, or be so apparent, if there were more distinct values ) Second: are there closely related areas that might produce other oddities Let s spend a little time experimenting around these two questions to see what happens. The code to create the base table was as follows: create table audience as select trunc(dbms_random.value(1,13)) from all_objects where rownum <= 1200 ;

Let s change this to generate 1,000 possible months across 12,000 people (so that the optimizer should calculate 12 rows per month number ). create table audience as select trunc(dbms_random.value(1,1001)) from all_objects where rownum <= 12000 ;

Listing 11-8. Creating a Linked List That Can Be Traversed with for each // generic_list.cpp using namespace System; using namespace System::Collections::Generic; // ListNode represents a single element in a linked list. generic <typename T> ref struct ListNode { ListNode<T>(T t) : item(t) { } // The item field represents the data in the list. T item; // the next node in the list; ListNode<T>^ next; }; // List represents a linked list. generic <typename T> ref class MyList : IEnumerable<ListNode<T>^> { ListNode<T>^ first; public: property bool changed; // Add an item to the end of the list. void Add(T t) { changed = true; if (first == nullptr) { first = gcnew ListNode<T>(t); } else { // Find the end. ListNode<T>^ node = first; while (node->next != nullptr) { node = node->next; } node->next = gcnew ListNode<T>(t); } }

2. 3.

We can then create a simple script that queries the tables with longer and longer in-lists (the online code suite holds separate scripts for the two data sets: in_list.sql uses the original 1,200 rows and in_list_02.sql uses 12,000 rows with 1,000 distinct values): select select select . . . select count(*) from audience where month_no in (1,2); count(*) from audience where month_no in (1,2,3); count(*) from audience where month_no in (1,2,3,4); count(*) from audience where month_no in (1,2,3,4,5,6,7,8,9,10,11,12,13,14);