extractvalue处理XMLTYPE类型超过4000字节ORA-01706的解决方法

发布时间:2020-08-14 15:40:17 作者:guocun09
来源:ITPUB博客 阅读:854

extractvalue在处理XMLTYPE类型运算时非常方便,但在处理超过4000字节column就力不从心了。

问题:

一位朋友在Oracle中使用extractvalue处理XMLTYPE类型时,发现column值超过4000字节时就会报错ORA-01706.

是否真会这样呢?

通过实验重现问题:

1.创建XML table

Create TABLE testxml(
id NUMBER,
data XMLTYPE
);

2.创建目录

CREATE OR REPLACE DIRECTORY 
EXPDP_DIR AS 
'/data/expdp_dir/';

3.在目录/data/expdp_dir/ 中建立11.xml文件, 模拟Data2长度为4001字节,文件内容如下:

<Workbook>
<Row>
<Data1>MES</Data1>
<Data2>01234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340123401234012340</Data2>
</Row>
</Workbook>

4.通过bfile方式insert数据

insert into testxml(id,data)
values(6,xmltype(bfilename('EXPDP_DIR','11.xml'),nls_charset_id('AL32UTF8')));
commit;

5.查看insert后数据

select *from testxml

extractvalue处理XMLTYPE类型超过4000字节ORA-01706的解决方法

6.使用extractvalue查询小于4000字节column Data1,可以正常返回结果

select  extractvalue(data,'/Workbook/Row/Data1') from testxml;

extractvalue处理XMLTYPE类型超过4000字节ORA-01706的解决方法

7 . 使用 extractvalue 查询大于4000字节column Data2,出现报错 ORA-01706

select  extractvalue(data,'/Workbook/Row/Data2') from testxml;

extractvalue处理XMLTYPE类型超过4000字节ORA-01706的解决方法

以上证实extractvalue无法处理大于4000字节column

解决:

查看Oracle官方文档对extractvalue函数的介绍

  https://docs.oracle.com/cd/E11882_01/server.112/e41084/functions061.htm#SQLRF06173

  The EXTRACTVALUE function is deprecated. It is still supported for backward compatibility. However, Oracle recommends that you use the XMLTABLE function, or the XMLCAST and XMLQUERY functions instead. See XMLTABLE , XMLCAST , and XMLQUERY for more information.

原来官方已建议不要再使用extractvalue,而建议使用XMLTABLE,XMLCASE,XMLQUERY函数

继续查阅XMLTABLE使用文档 

https://docs.oracle.com/cd/E11882_01/server.112/e41084/functions253.htm#SQLRF06232

利用XMLTABLE函数处理大于4000字节column:

SELECT * FROM testxml,XMLTABLE('/Workbook' PASSING testxml.data COLUMNS CON clob PATH '/Workbook/Row/Data2' )

在XMLTABLE可以自定义字符类型,这里指定clob类型可成功获取超过4000字节数据

extractvalue处理XMLTYPE类型超过4000字节ORA-01706的解决方法

推荐阅读:
  1. 初识Oracle的XMLType
  2. hive中对多字节的处理

免责声明:本站发布的内容(图片、视频和文字)以原创、转载和分享为主,文章观点不代表本网站立场,如果涉及侵权请联系站长邮箱:is@yisu.com进行举报,并提供相关证据,一经查实,将立刻删除涉嫌侵权内容。

4000字节 ora-01706 xmltype

上一篇:oracle监听文件listener.ora for 10g/11g

下一篇:2019百度阿里Java面试题(基础+框架+数据库+分布式+JVM+多线程)

相关阅读

您好,登录后才能下订单哦!

密码登录
登录注册
其他方式登录
点击 登录注册 即表示同意《亿速云用户服务条款》