Java正则表达式匹配字符串并提取中间值的方法实例

<saml:AttributeStatement>
    <saml:Attribute Name="mail">
        <saml:AttributeValue xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:type="xs:string">zhengkai.blog.csdn.net</saml:AttributeValue>
    </saml:Attribute>
    <saml:Attribute Name="cn">
        <saml:AttributeValue xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:type="xs:string">amAdmin</saml:AttributeValue>
    </saml:Attribute>
</saml:AttributeStatement>

public static void main(String[] args) {
        String content = "";
        content = "<saml:AttributeStatement>";
        content  = "    <saml:Attribute Name=\"mail\">";
        content  = "        <saml:AttributeValue xmlns:xs=\"http://www.w3.org/2001/XMLSchema\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" xsi:type=\"xs:string\">zhengkai.blog.csdn.net</saml:AttributeValue>";
        content  = "    </saml:Attribute>";
        content  = "    <saml:Attribute Name=\"cn\">";
        content  = "        <saml:AttributeValue xmlns:xs=\"http://www.w3.org/2001/XMLSchema\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" xsi:type=\"xs:string\">amAdmin</saml:AttributeValue>";
        content  = "    </saml:Attribute>";
        content  = "</saml:AttributeStatement>";
        String pattern = "\\<saml\\:Attribute Name=\\\"(?<scope>.*?)\\\"\\>[\\s\\S]*?\\<saml\\:AttributeValue[\\s\\S]*?\\>(?<value>.*?)\\<\\/saml\\:AttributeValue\\>[\\s\\S]*?\\<\\/saml\\:Attribute\\>";
        Pattern r = Pattern.compile(pattern);
        Matcher matcher = r.matcher(saml2attributeString);
        while (matcher.find()){
            String attributeName = matcher.group("scope");
            String attributeValue = matcher.group("value");
            System.out.println("attributeName->" attributeName  ",attributeValue->" attributeValue );
        }
    }

\\<saml\\:Attribute Name=\\\"(?<scope>.*?)\\\"\\>[\\s\\S]*?\\<saml\\:AttributeValue[\\s\\S]*?\\>(?<value>.*?)\\<\\/saml\\:AttributeValue\\>[\\s\\S]*?\\<\\/saml\\:Attribute\\>

    //匹配整个ddl，将ddl分为表名，列sql部分，表注释
    private static final Pattern DDL_PATTERN = Pattern.compile("\\s*create\\s table\\s (?<tableName>\\S )[^\\(]*\\((?<columnsSQL>[\\s\\S] )\\)[^\\)] ?(comment\\s*(=|on\\s table)\\s*'(?<tableComment>.*?)'\\s*;?)?$", Pattern.CASE_INSENSITIVE);
    //匹配列sql部分，分别解析每一列的列名 类型 和列注释
    private static final Pattern COL_PATTERN = Pattern.compile("\\s*(?<fieldName>\\S )\\s (?<fieldType>\\w )\\s*(?:\\([\\s\\d,] \\))?((?!comment).)*(comment\\s*'(?<fieldComment>.*?)')?\\s*(,|$)", Pattern.CASE_INSENSITIVE);

    public static void parse(String sql){
        Matcher matcher = DDL_PATTERN.matcher(sql);
        if (matcher.find()){
            String tableName = matcher.group("tableName");
            String tableComment = matcher.group("tableComment");
            System.out.println(tableName   "\t\t"   tableComment);
            System.out.println("==========");
            String columnsSQL = matcher.group("columnsSQL");
            if (columnsSQL != null && columnsSQL.length() > 0){
                Matcher colMatcher = COL_PATTERN.matcher(columnsSQL);
                while (colMatcher.find()){
                    String fieldName = colMatcher.group("fieldName");
                    String fieldType = colMatcher.group("fieldType");
                    String fieldComment = colMatcher.group("fieldComment");
                    if (!"key".equalsIgnoreCase(fieldType)){
                        System.out.println(fieldName   "\t\t"   fieldType   "\t\t"   fieldComment);
                    }
                }
            }
        }
    }

    public static void main(String[] args){
        System.out.println(">>>>>>>>>>>>>>>>>>>>>>>>>>>>>");
        parse("CREATE TABLE `userinfo` (\n"  
                "  `user_id` int(11) NOT NULL AUTO_INCREMENT COMMENT '用户ID',\n"  
                "  `username` varchar(255) NOT NULL COMMENT '用户名',\n"  
                "  `addtime` datetime NOT NULL COMMENT '创建时间',\n"  
                "  PRIMARY KEY (`user_id`)\n"  
                ") ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='用户信息'");
        System.out.println(">>>>>>>>>>>>>>>>>>>>>>>>>>>>>");
        parse("CREATE TABLE `USER` (\n"  
                "`ID` varchar(32) PRIMARY KEY COMMENT '主键',\n"  
                "`password` varchar(32) NOT NULL COMMENT '密码',\n"  
                "`username` varchar(32) NOT NULL COMMENT '用户'\n"  
                ") ENGINE=InnoDB DEFAULT CHARSET=utf8;");
        System.out.println(">>>>>>>>>>>>>>>>>>>>>>>>>>>>>");
        parse("CREATE TABLE `tb_amount` (\n"  
                "`ID` int(10) NOT NULL AUTO_INCREMENT,\n"  
                "`PRODUCT_CODE` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '产品代码',\n"  
                "`GENDER` varchar(10) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '性别(male,female)',\n"  
                "`MIN_INSURED_AGE` int(3) NULL DEFAULT NULL COMMENT '最小投保年龄',\n"  
                "`MAX_INSURED_AGE` int(3) NULL DEFAULT NULL COMMENT '最大投保年龄',\n"  
                "`AMOUNT` double(10, 2) NULL DEFAULT NULL COMMENT '基本保额',\n"  
                "`PREMIUM_RATE` double(10, 2) NULL DEFAULT NULL COMMENT '基本保费',\n"  
                "`YEAR_NUM` int(3) NULL DEFAULT NULL COMMENT '缴费年限',\n"  
                "`PREMIUM_TYPE` varchar(10) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '费率类型',\n"  
                "`INSURANCE_PERIOD` varchar(10) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '保险期间(30年，60年)',\n"  
                "`INSURANCE_PERIOD_TYPE` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '保险期间类型(如定期年0,定期岁1,终身2,以后终身对应值：200)',\n"  
                "`PAY_MODE` varchar(10) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '交费方式',\n"  
                "PRIMARY KEY (`ID`) USING BTREE\n"  
                ") ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;");
    }