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All the containers that we have used until now have been sequential containers, whose elements remain in the sequence that we choose for them When we use push_back or insert to add elements to a sequential container, each element will stay where we put it until we do something to the container that reorders the elements Some kinds of programs are hard to write efficiently if we restrict ourselves to sequential containers For example, if we have a container of integers, and we wish to write a program that determines whether any element of the container has the value 42, we have two plausible strategies neither of which is ideal One alternative is to inspect every element of the container until we find 42 or run out of elements This approach is straightforward, but potentially slow especially if the container has many elements The other alternative is for us to keep the container in an appropriate order and devise an efficient algorithm to find the element we seek This approach can yield fast searches, but such algorithms are not easy to devise In other words, we must live with a slow program, or come up with our own sophisticated algorithm Fortunately, as we'll see in this chapter, the library offers a third alternative

addSelectionChangedListener(ISelectionChangedListener)

Effective Java: Programming Language Guide /** * A college degree, such as B.S., M.S. or * Ph.D */ public class Degree { }

addPostSelectionChangedListener(ISelectionChangedListener) Adds a listener for post-selection in this viewer getSelection() The StructuredViewer implementation of this method returns the result as an IStructuredSelection refresh() Refreshes this viewer completely with information freshly obtained from this viewer s model refresh(boolean) Refreshes this viewer with information freshly

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refresh(Object) Refreshes this viewer starting with the given element refresh(Object, boolean) Refreshes this viewer starting with the

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resetFilters() Discards this viewer s filters and triggers refiltering and resorting of the elements setComparer(IElementComparer) Sets the comparator to use for comparing elements, or null to use the default equals and hashCode methods on the elements themselves setContentProvider(IContentProvider) The implementation, StructuredViewer, of this method checks to ensure that the content provider is an IStructuredContentProvider setData(String, Object) Sets the value of the property with the given name to the given value, or to null if the property is to be removed setInput(Object) The ContentViewer implementation of this viewer method invokes inputChanged on the content provider and then the inputChanged hook method The content provider s getElements(Object) method is called later with this input object as its argument to determine the root-level elements in the viewer

Instead of storing data in a sequential container, we can use an associative container Such containers automatically arrange their elements into a sequence that depends on the values of the elements themselves, rather than the sequence in which we inserted them Moreover, associative containers exploit this ordering to let us locate particular elements much more quickly than do the sequential containers, without our having to keep the container ordered by ourselves Associative containers offer efficient ways to find an element that contains a particular value, and might contain additional information as well The part of each container element that we can use for these efficient searches is called a key For example, if we were keeping track of information about students, we might use the student's name as the key, so that we could find students efficiently by name In the sequential containers, the closest that we have seen to a key is the integer index that accompanies every element of a vector However, even these indices are not really keys, because every time we insert or delete a vector element, we implicitly change the index of every element after the one that we touched The most common kind of associative data structure is one that stores key-value pairs, associating a value with each key, and that lets us insert and retrieve elements quickly based on their keys When we put a particular key-value pair into the data structure, that key will continue to be associated with the same value until we delete the pair Such a data structure is called an associative array Many languages, such as AWK, Perl, and Sno-bol, have associative arrays built in In C++, associative arrays are part of the library The most common kind of associative array in C++ is called a map, and, analogous with other containers, it is defined in the <map> header In many ways, maps behave like vectors One fundamental difference is that the index of a map need not be an integer; it can be a string, or any other type with values that we can compare so as to keep them ordered Another important difference between associative and sequential containers is that, because associative containers are self-ordering, our own programs must not do anything that changes the order of the elements For that reason, algorithms that change the contents of containers often don't work for associative containers In exchange for that restriction, associative containers offer a variety of useful operations that are impossible to implement efficiently for sequential containers.

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