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After creating the table viewer, the column headers and lines are made visible by calling the setHeaderVisible() and setLinesVisible() methods in the table viewer s underlying table Four columns are then added to the table with different alignments The header text and width of each column are set with the setText() and setWidth() methods (see Section 78, Auto-sizing Table Columns, on page 348)

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The label provider is set using the setLabelProvider() method and the content provider is set with the setContentProvider() method The label provider, PersonTableLabelProvider, returns a text label for each column in the table and does not return an icon The class looks like this:

import orgeclipsejfaceviewers*; import orgeclipseswtgraphics*; public class PersonTableLabelProvider extends LabelProvider implements ITableLabelProvider { public Image getColumnImage(Object element, int index) { return null; } public String getColumnText(Object element, int index) { Person person = (Person) element; switch (index) { case 0 : return personfirstName; case 1 : return personlastName; case 2 : return IntegertoString(personage); case 3 : return IntegertoString(personchildrenlength); default : return "unknown " + index; } } }

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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.

Always override hashCode when you override equals (Item 8) Don't try to be too clever If you simply test fields for equality, it's not hard to adhere to the equals contract If you are overly aggressive in searching for equivalence, it's easy to get into trouble It is generally a bad idea to take any form of aliasing into account For example, the File class shouldn't attempt to equate symbolic links referring to the same file Thankfully, it doesn't

The TreeViewer class wraps the Tree widget A tree viewer displays a hierarchical list of objects in a parent child relationship This viewer needs to be configured with label and content providers The CheckboxTreeViewer enhances this further by adding support for graying out individual items and toggling on and off an associated checkbox with each item Useful APIs include:

add(Object, Object) Adds the given child element to this viewer as a child of the given parent element add(Object, Object[]) Adds the given child elements to this viewer

This chapter presents several programming examples that use maps to write compact and efficient look-up-intensive programs

addTreeListener(ITreeViewerListener) Adds a listener for expanding and collapsing events in this viewer collapseAll() Collapses all nodes of the viewer s tree, starting with

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