javaweb基础(30)_EL函数库

一、EL函数库介绍

　　由于在JSP页面中显示数据时，经常需要对显示的字符串进行处理，SUN公司针对于一些常见处理定义了一套EL函数库供开发者使用。
　　这些EL函数在JSTL开发包中进行描述，因此在JSP页面中使用SUN公司的EL函数库，需要导入JSTL开发包，并在页面中导入EL函数库，如下所示：

　　MyEclipse自带的JSTL开发包：

　　fn.tld就是EL函数库的对应的tld描述文件，如下图所示：

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" alt="" width="511" height="243" />
　　在页面中使用JSTL定义的EL函数：<%@taglib uri="http://java.sun.com/jsp/jstl/functions" prefix="fn"%>

二、EL函数使用范例

  1 <%@ page language="java" import="java.util.*" pageEncoding="UTF-8"%>

  2 <%@page import="me.gacl.domain.User"%>

  3 <%--引入EL函数库 --%>

  4 <%@taglib uri="http://java.sun.com/jsp/jstl/functions" prefix="fn" %>

  5 <!DOCTYPE HTML>

  6 <html>

  7   <head>

  8     <title>EL函数库中的方法使用范例</title>

  9   </head>

 10

 11   <body>

 12   <h3>fn:toLowerCase函数使用范例：</h3>

 13       <%--fn:toLowerCase函数将一个字符串中包含的所有字符转换为小写形式，并返回转换后的字符串，

 14       它接收一个字符串类型的参数。fn:toLowerCase("")的返回值为空字符串--%>

 15       <%--fn:toLowerCase("Www.CNBLOGS.COM") 的返回值为字符串“www.cnblogs.com” --%>

 16       fn:toLowerCase("Www.CNBLOGS.COM")的结果是：${fn:toLowerCase("Www.CNBLOGS.COM")}

 17       <hr/>

 18       <h3>fn:toUpperCase函数使用范例：</h3>

 19       <%--fn:toUpperCase函数将一个字符串中包含的所有字符转换为大写形式，并返回转换后的字符串，

 20       它接收一个字符串类型的参数。fn:toUpperCase("")的返回值为空字符串--%>

 21       fn:toUpperCase("cnblogs.com")的结果是：${fn:toUpperCase("cnblogs.com")}

 22       <hr/>

 23       <h3>fn:trim函数使用范例：</h3>

 24       <%--fn:trim函数删除一个字符串的首尾的空格，并返回删除空格后的结果字符串，

 25       它接收一个字符串类型的参数。需要注意的是，fn:trim函数不能删除字符串中间位置的空格。--%>

 26       fn:trim("  cnblogs.com  ")的结果是：${fn:trim("  cnblogs.com  ")}

 27       <hr/>

 28       <h3>fn:length函数使用范例：</h3>

 29       <%--fn:length函数返回一个集合或数组大小，或返回一个字符串中包含的字符的个数，返回值为int类型。

 30       fn:length函数接收一个参数，这个参数可以是<c:forEach>标签的items属性支持的任何类型，

 31       包括任意类型的数组、java.util.Collection、java.util.Iterator、java.util.Enumeration、

 32       java.util.Map等类的实例对象和字符串。

 33       如果fn:length函数的参数为null或者是元素个数为0的集合或数组对象，则函数返回0；如果参数是空字符串，则函数返回0

 34       --%>

 35        <%

 36         List<String> list = Arrays.asList("1","2","3");

 37         request.setAttribute("list",list);

 38     %>

 39     fn:length(list)计算集合list的size的值是：${fn:length(list)}

 40     <br/>

 41       fn:length("cnblogs.com")计算字符串的长度是：${fn:length("cnblogs.com")}

 42       <hr/>

 43       <h3>fn:split函数使用范例：</h3>

 44       <%--

 45       fn:split函数以指定字符串作为分隔符，将一个字符串分割成字符串数组并返回这个字符串数组。

 46     fn:split函数接收两个字符串类型的参数，第一个参数表示要分割的字符串，第二个参数表示作为分隔符的字符串

 47       --%>

 48       fn:split("cnblogs.com",".")[0]的结果是：${fn:split("cnblogs.com",".")[0]}

 49       <hr/>

 50       <h3>fn:join函数使用范例：</h3>

 51       <%--

 52       fn:join函数以一个字符串作为分隔符，将一个字符串数组中的所有元素合并为一个字符串并返回合并后的结果字符串。

 53       fn:join函数接收两个参数，第一个参数是要操作的字符串数组，第二个参数是作为分隔符的字符串。

 54     如果fn:join函数的第二个参数是空字符串，则fn:join函数的返回值直接将元素连接起来。

 55       --%>

 56       <%

 57           String[] StringArray = {"www","iteye","com"};

 58           pageContext.setAttribute("StringArray", StringArray);

 59       %>

 60       <%--fn:join(StringArray,".")返回字符串“www.iteye.com”--%>

 61       fn:join(StringArray,".")的结果是：${fn:join(StringArray,".")}

 62       <br/>

 63       <%--fn:join(fn:split("www,iteye,com",","),".")的返回值为字符串“www.iteye.com”--%>

 64       fn:join(fn:split("www,iteye,com",","),".")的结果是：${fn:join(fn:split("www,iteye,com",","),".")}

 65       <hr/>

 66

 67       <h3>fn:indexOf函数使用范例：</h3>

 68       <%--

 69       fn:indexOf函数返回指定字符串在一个字符串中第一次出现的索引值，返回值为int类型。

 70       fn:indexOf函数接收两个字符串类型的参数，如果第一个参数字符串中包含第二个参数字符串，

 71       那么，不管第二个参数字符串在第一个参数字符串中出现几次，fn:indexOf函数总是返回第一次出现的索引值；

 72       如果第一个参数中不包含第二个参数，则fn:indexOf函数返回-1。如果第二个参数为空字符串，则fn:indexOf函数总是返回0。

 73       --%>

 74       fn:indexOf("www.iteye.com","eye")的返回值为：${fn:indexOf("www.iteye.com","eye")}

 75       <hr/>

 76

 77       <h3>fn:contains函数使用范例：</h3>

 78       <%--

 79       fn:contains函数检测一个字符串中是否包含指定的字符串，返回值为布尔类型。

 80       fn:contains函数在比较两个字符串是否相等时是大小写敏感的。

 81     fn:contains函数接收两个字符串类型的参数，如果第一个参数字符串中包含第二个参数字符串，则fn:contains函数返回true，否则返回false。

 82     如果第二个参数的值为空字符串，则fn:contains函数总是返回true。

 83     实际上，fn:contains(string, substring)等价于fn:indexOf(string, substring) != -1

 84     忽略大小的EL函数：fn:containsIgnoreCase

 85       --%>

 86         <%

 87         User user = new User();

 88         String likes[] = {"sing","dance"};

 89         user.setLikes(likes);

 90         //数据回显

 91         request.setAttribute("user",user);

 92     %>

 93     <%--使用el函数回显数据 --%>

 94    <input type="checkbox" name="like"

 95                vlaue="sing" ${fn:contains(fn:join(user.likes,","),"sing")?'checked':''}/>唱歌

 96    <input type="checkbox" name="like"

 97                value="dance"  ${fn:contains(fn:join(user.likes,","),"dance")?'checked':''}/>跳舞

 98    <input type="checkbox" name="like"

 99                value="basketball" ${fn:contains(fn:join(user.likes,","),"basketball")?'checked':''}/>蓝球

100    <input type="checkbox" name="like"

101                value="football"  ${fn:contains(fn:join(user.likes,","),"football")?'checked':''}/>足球

102       <hr/>

103

104       <h3>fn:startsWith函数和fn:endsWith函数使用范例：</h3>

105       <%--

106       fn:startsWith函数用于检测一个字符串是否是以指定字符串开始的，返回值为布尔类型。

107     fn:startsWith函数接收两个字符串类型的参数，如果第一个参数字符串以第二个参数字符串开始，则函数返回true，否则函数返回false。

108     如果第二个参数为空字符串，则fn:startsWith函数总是返回true。

109     与fn:startsWith函数对应的另一个EL函数为：fn:endsWith，用于检测一个字符串是否是以指定字符串结束的，返回值为布尔类型。

110       --%>

111       fn:startsWith("www.iteye.com","iteye")的返回值为：${fn:startsWith("www.iteye.com","iteye")}

112       <br/>

113       fn:endsWith("www.iteye.com","com")的返回值为：${fn:endsWith("www.iteye.com","com")}

114       <hr/>

115

116       <h3>fn:replace使用范例：</h3>

117       <%--

118       fn:replace函数将一个字符串中包含的指定子字符串替换为其它的指定字符串，并返回替换后的结果字符串。

119       fn:replace方法接收三个字符串类型的参数，第一个参数表示要操作的源字符串，第二个参数表示源字符串中要被替换的子字符串，

120       第三个参数表示要被替换成的字符串。

121       --%>

122       fn:replace("www   iteye   com   ", " ", ".")的返回值为字符串：${fn:replace("www iteye com", " ", ".")}

123       <hr/>

124

125       <h3>fn:substring使用范例：</h3>

126       <%--

127       fn:substring函数用于截取一个字符串的子字符串并返回截取到的子字符串。

128       fn:substring函数接收三个参数，第一个参数是用于指定要操作的源字符串，第二个参数是用于指定截取子字符串开始的索引值，

129       第三个参数是用于指定截取子字符串结束的索引值，第二个参数和第三个参数都是int类型，其值都从0开始。

130       --%>

131       fn:substring("www.it315.org", 4, 9) 的返回值为字符串：${fn:substring("www.it315.org", 4, 9)}

132

133       <h3>fn:substringAfter函数和fn:substringBefore函数使用范例：</h3>

134       <%--

135       fn:substringAfter函数用于截取并返回一个字符串中的指定子字符串第一次出现之后的子字符串。

136       fn:substringAfter函数接收两个字符串类型的参数，第一个参数表示要操作的源字符串，第二个参数表示指定的子字符串

137       与之对应的EL函数为：fn:substringBefore

138       --%>

139       fn:substringAfter("www.it315.org",".")的返回值为字符串：${fn:substringAfter("www.it315.org",".")}

140       <br/>

141       fn:substringBefore("www.it315.org",".")的返回值为字符串：${fn:substringBefore("www.it315.org",".")}

142       <hr/>

143   </body>

144 </html>

　　jsp页面中使用到的me.gacl.domain.User类的代码如下：

 1 package me.gacl.domain;

 2

 3 public class User {

 4

 5     /**

 6      * 兴趣爱好

 7      */

 8     private String likes[];

 9

10     public String[] getLikes() {

11         return likes;

12     }

13

14     public void setLikes(String[] likes) {

15         this.likes = likes;

16     }

17 }

运行结果如下：

巴特西

javaweb基础(30)_EL函数库

一、EL函数库介绍

二、EL函数使用范例

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