Jsf 排序和数据模型–;CollectionDataModel,setRowIndex()的用途是什么?
每个集合(Jsf 排序和数据模型–;CollectionDataModel,setRowIndex()的用途是什么?,jsf,datatable,jsf-2.2,datamodel,Jsf,Datatable,Jsf 2.2,Datamodel,每个集合(List,HashMap等等)都由JSF包装在一个DataModel类中(或者,在一个子类中,如ArrayDataModel,CollectionDataModel,ListDataModel,ResultDataModel,ResultDataModel,或者ScalarDataModel)。JSF在呈现/解码表数据时将调用表DataModelclass'方法 我正在尝试构建Anghel Leonard的书中给出的一个示例—精通Java服务器Faces 2.2 这个bean很简单,如
List
,HashMap
等等)都由JSF包装在一个DataModel
类中(或者,在一个子类中,如ArrayDataModel
,CollectionDataModel
,ListDataModel
,ResultDataModel
,ResultDataModel
,或者ScalarDataModel
)。JSF在呈现/解码表数据时将调用表DataModel
class'方法
我正在尝试构建Anghel Leonard的书中给出的一个示例—精通Java服务器Faces 2.2
这个bean很简单,如下所示:
@Named
@ViewScoped
public class PlayersBean implements Serializable {
private HashSet<Players> dataHashSet = new HashSet<>();
private SortDataModel<Players> sortDataModel;
final SimpleDateFormat sdf = new SimpleDateFormat("dd.MM.yyyy");
private String sortType = "asc";
public PlayersBean() {
try {
dataHashSet.add(new Players(2, "NOVAK DJOKOVIC", (byte) 26, "Belgrade, Serbia", "Monte Carlo, Monaco", (short) 188, (byte) 80, "Boris Becker, Marian Vajda", sdf.parse("22.05.1987")));
dataHashSet.add(new Players(1, "RAFAEL NADAL", (byte) 27, "Manacor, Mallorca, Spain", "Manacor, Mallorca, Spain", (short) 185, (byte) 85, "Toni Nadal", sdf.parse("03.06.1986")));
dataHashSet.add(new Players(7, "TOMAS BERDYCH", (byte) 28, "Valasske Mezirici, Czech", "Monte Carlo, Monaco", (short) 196, (byte) 91, "Tomas Krupa", sdf.parse("17.09.1985")));
dataHashSet.add(new Players(8, "STANISLAS WAWRINKA", (byte) 28, "Lausanne, Switzerland", "St. Barthelemy, Switzerland", (short) 183, (byte) 81, "Magnus Norman", sdf.parse("28.03.1985")));
dataHashSet.add(new Players(4, "ANDY MURRAY", (byte) 26, "Dunblane, Scotland", "London, England", (short) 190, (byte) 84, "Ivan Lendl", sdf.parse("15.05.1987")));
dataHashSet.add(new Players(5, "JUAN MARTIN DEL POTRO", (byte) 25, "Tandil, Argentina", "Tandil, Argentina", (short) 198, (byte) 97, "Franco Davin", sdf.parse("23.09.1988")));
dataHashSet.add(new Players(10, "JO-WILFRIED TSONGA", (byte) 28, "Le Mans, France", "Gingins, Switzerland", (short) 188, (byte) 91, "Nicolas Escude & Thierry Ascione", sdf.parse("17.04.1985")));
dataHashSet.add(new Players(6, "ROGER FEDERER", (byte) 32, "Basel, Switzerland", "Bottmingen, Switzerland", (short) 185, (byte) 85, "Stefan Edberg, Severin Luthi", sdf.parse("08.08.1981")));
dataHashSet.add(new Players(9, "RICHARD GASQUET", (byte) 27, "Beziers, France", "Neuchatel, Switzerland", (short) 185, (byte) 75, "Sergi Bruguera and Sebastien", sdf.parse("18.06.1986")));
dataHashSet.add(new Players(3, "DAVID FERRER", (byte) 31, "Javea, Spain", "Valencia, Spain", (short) 175, (byte) 73, "Jose Francisco Altur", sdf.parse("02.04.1982")));
sortDataModel = new SortDataModel<Players>(new CollectionDataModel<Players>(dataHashSet));
} catch (ParseException ex) {
Logger.getLogger(PlayersBean.class.getName()).log(Level.SEVERE, null, ex);
}
}
public SortDataModel<Players> getSortDataModel() {
return sortDataModel;
}
public String sortDataByRanking() {
sortDataModel.sortThis(new Comparator<Players>() {
@Override
public int compare(Players key_1, Players key_2) {
if (sortType.equals("asc")) {
return key_1.getRanking() - key_2.getRanking();
} else {
return (-1) * (key_1.getRanking() - key_2.getRanking());
}
}
});
sortType = (sortType.equals("asc")) ? "dsc" : "asc";
return null;
}
}
调试后,我知道rows integer数组将由从0到要排序的集合大小(本例中为行)减1的整数填充
接下来,我看到他重写了setRowIndex
方法来替换默认的行索引
触发GET请求会导致从中多次调用此被重写的方法
到0,1,2,3…。最后还是-1最后,
<h:dataTable value="#{playersBean.sortDataModel}" var="t" border="1">
<h:column>
<f:facet name="header">
<h:commandLink action="#{playersBean.sortDataByRanking()}">
Ranking
</h:commandLink>
</f:facet>
#{t.ranking}
</h:column>.....
....
</h:dataTable>
排名
#{t.ranking}
.....
....
<h:dataTable value="#{playersBean.sortDataModel}" var="t" border="1">
<h:column>
<f:facet name="header">
<h:commandLink action="#{playersBean.sortDataByRanking()}">
Ranking
</h:commandLink>
</f:facet>
#{t.ranking}
</h:column>.....
....
</h:dataTable>