将XmlFile加载到Sql-server中

时间：2016-09-23 23:42:56

标签： c# sql-server xml

我希望将我的XmlFile加载到Sql-Server，我会使用sqlbulkcopy，但我不知道如何将我的XmlFile转换为DataSet，因为它们是很多imbriqued表。这是我的XmlFile，并提前感谢你。

<?xml version="1.0" encoding="utf-8"?>
<data>
<data>
<created_time>2016-09-23T22:37:33+01:00</created_time>
<id>12451</id>    
<message>Cool</message>
<from>
  <id>1</id>
  <name>user1</name>
  <picture>
    <data>
      <is_silhouette>false</is_silhouette>
      <url>https://server.com/pic.jpg</url>
    </data>
  </picture>
</from>
<comments>
  <data>
    <created_time>2016-09-23T22:46:59+01:00</created_time>     
    <id>112</id>        
    <message>ok</message>
    <from>
      <id>1245</id>
      <name>reply user1</name>
      <picture>
        <data>
          <is_silhouette>false</is_silhouette>
          <url>https://server.com/pic2.jpg</url>
        </data>
      </picture>
    </from>
  </data>
  <data>
    <created_time>2016-09-23T22:47:41+01:00</created_time>       
    <id>113</id>        
    <message>nice</message>
    <from>
      <id>1246</id>
      <name>reply user2</name>
      <picture>
        <data>
          <is_silhouette>false</is_silhouette>
          <url>https://server.com/pic3.jpg</url>
        </data>
      </picture>
    </from>
  </data>      
  <paging>
    <cursors>
      <before>sdfdfdsfdfdsfdsf</before>
      <after>dsfdsfdfsfdffdfdf</after>
    </cursors>
  </paging>
</comments>
</data>
<data>
<created_time>2016-09-23T22:35:20+01:00</created_time>    
<id>47854</id>    
<message>Thank you</message>
<from>
  <id>365</id>
  <name>user2</name>
  <picture>
    <data>
      <is_silhouette>false</is_silhouette>
      <url>https://server.com/pic4.jpg</url>
    </data>
  </picture>
</from>
<comments>      
  <data>
    <created_time>2016-09-23T22:47:05+01:00</created_time>
    <id>1285</id>        
    <message>what?</message>
    <from>
      <id>33</id>
      <name>reply user1</name>
      <picture>
        <data>
          <is_silhouette>false</is_silhouette>
          <url>https://server.com/pic5.jpg</url>
        </data>
      </picture>
    </from>
  </data>
  <data>
    <created_time>2016-09-23T22:55:54+01:00</created_time>
    <id>1982</id>        
    <message>No.</message>
    <from>
      <id>102</id>
      <name>reply user2</name>
      <picture>
        <data>
          <is_silhouette>false</is_silhouette>
          <url>https://server.com/pic6.jpg</url>
        </data>
      </picture>
    </from>
   </data>      
  </comments>
 </data>    
</data>

4 个答案:

答案 0 :(得分：0)

您可以在sql server中使用SSIS或读取xml以获取更多信息： Importing and Processing data from XML files into SQL Server tables

sql-server-simple-example-of-reading-xml-file-using-t-sql

答案 1 :(得分：0)

您可以创建varbinary(max)类型的数据库列，该列将映射到域模型中的byte[]属性。然后使用XmlWriter将XML文档存储到此列中。

public virtual void Save(
    XmlWriter w
)

答案 2 :(得分：0)

使用以下查询，您将从派生表格中获取XML中的所有数据。

将其插入适当的表格应该很容易。提示：

SELECT DISTINCT ...
SELECT col1, col2 INTO #tbl ...
INSERT INTO tbl SELECT col1, col2, ...

对于ID的创建，您可以使用ROW_NUMBER() OVER()之类的内容PARTITION BY ...

您的XML 

DECLARE @xml XML=
'<?xml version="1.0" encoding="utf-8"?>
<data>
<data>
<created_time>2016-09-23T22:37:33+01:00</created_time>
<id>12451</id>    
<message>Cool</message>
<from>
  <id>1</id>
  <name>user1</name>
  <picture>
    <data>
      <is_silhouette>false</is_silhouette>
      <url>https://server.com/pic.jpg</url>
    </data>
  </picture>
</from>
<comments>
  <data>
    <created_time>2016-09-23T22:46:59+01:00</created_time>     
    <id>112</id>        
    <message>ok</message>
    <from>
      <id>1245</id>
      <name>reply user1</name>
      <picture>
        <data>
          <is_silhouette>false</is_silhouette>
          <url>https://server.com/pic2.jpg</url>
        </data>
      </picture>
    </from>
  </data>
  <data>
    <created_time>2016-09-23T22:47:41+01:00</created_time>       
    <id>113</id>        
    <message>nice</message>
    <from>
      <id>1246</id>
      <name>reply user2</name>
      <picture>
        <data>
          <is_silhouette>false</is_silhouette>
          <url>https://server.com/pic3.jpg</url>
        </data>
      </picture>
    </from>
  </data>      
  <paging>
    <cursors>
      <before>sdfdfdsfdfdsfdsf</before>
      <after>dsfdsfdfsfdffdfdf</after>
    </cursors>
  </paging>
</comments>
</data>
<data>
<created_time>2016-09-23T22:35:20+01:00</created_time>    
<id>47854</id>    
<message>Thank you</message>
<from>
  <id>365</id>
  <name>user2</name>
  <picture>
    <data>
      <is_silhouette>false</is_silhouette>
      <url>https://server.com/pic4.jpg</url>
    </data>
  </picture>
</from>
<comments>      
  <data>
    <created_time>2016-09-23T22:47:05+01:00</created_time>
    <id>1285</id>        
    <message>what?</message>
    <from>
      <id>33</id>
      <name>reply user1</name>
      <picture>
        <data>
          <is_silhouette>false</is_silhouette>
          <url>https://server.com/pic5.jpg</url>
        </data>
      </picture>
    </from>
  </data>
  <data>
    <created_time>2016-09-23T22:55:54+01:00</created_time>
    <id>1982</id>        
    <message>No.</message>
    <from>
      <id>102</id>
      <name>reply user2</name>
      <picture>
        <data>
          <is_silhouette>false</is_silhouette>
          <url>https://server.com/pic6.jpg</url>
        </data>
      </picture>
    </from>
   </data>      
  </comments>
 </data>    
</data>';

查询

SELECT data.value('created_time[1]','datetime') AS Data_CreatedTime
      ,data.value('id[1]','int') AS Data_Id
      ,data.value('message[1]','nvarchar(max)') AS Data_Message
      ,data.value('(from/id)[1]','int') AS Data_From_Id
      --more values here
      ,data.value('(from/picture/data/url)[1]','nvarchar(max)') AS Data_From_Picture_URL
      --more values here

      ,comment.value('created_time[1]','datetime') AS Comment_CreatedTime
      ,comment.value('id[1]','int') AS Comment_Id
      ,comment.value('message[1]','nvarchar(max)') AS Comment_Message
      ,comment.value('(from/id)[1]','int') AS Comment_From_Id
      --more values here
      ,comment.value('(from/picture/data/url)[1]','nvarchar(max)') AS Comment_From_Picture_URL
      --more values here
FROM @xml.nodes('/data/data') AS A(data)
OUTER APPLY data.nodes('comments/data') AS B(comment)

结果

+-------------------------+---------+--------------+--------------+-----------------------------+-------------------------+------------+-----------------+-----------------+-----------------------------+
| Data_CreatedTime        | Data_Id | Data_Message | Data_From_Id | Data_From_Picture_URL       | Comment_CreatedTime     | Comment_Id | Comment_Message | Comment_From_Id | Comment_From_Picture_URL    |
+-------------------------+---------+--------------+--------------+-----------------------------+-------------------------+------------+-----------------+-----------------+-----------------------------+
| 2016-09-23 21:37:33.000 | 12451   | Cool         | 1            | https://server.com/pic.jpg  | 2016-09-23 21:46:59.000 | 112        | ok              | 1245            | https://server.com/pic2.jpg |
+-------------------------+---------+--------------+--------------+-----------------------------+-------------------------+------------+-----------------+-----------------+-----------------------------+
| 2016-09-23 21:37:33.000 | 12451   | Cool         | 1            | https://server.com/pic.jpg  | 2016-09-23 21:47:41.000 | 113        | nice            | 1246            | https://server.com/pic3.jpg |
+-------------------------+---------+--------------+--------------+-----------------------------+-------------------------+------------+-----------------+-----------------+-----------------------------+
| 2016-09-23 21:35:20.000 | 47854   | Thank you    | 365          | https://server.com/pic4.jpg | 2016-09-23 21:47:05.000 | 1285       | what?           | 33              | https://server.com/pic5.jpg |
+-------------------------+---------+--------------+--------------+-----------------------------+-------------------------+------------+-----------------+-----------------+-----------------------------+
| 2016-09-23 21:35:20.000 | 47854   | Thank you    | 365          | https://server.com/pic4.jpg | 2016-09-23 21:55:54.000 | 1982       | No.             | 102             | https://server.com/pic6.jpg |
+-------------------------+---------+--------------+--------------+-----------------------------+-------------------------+------------+-----------------+-----------------+-----------------------------+

答案 3 :(得分：0)

最后没关系，解决方法是将XmlFile加载到MS-SQL服务器。在我的C＃程序中，我使用此命令：

cmd.CommandText = "Insert into Table_fileXml(xml) SELECT CONVERT(XML, BulkColumn) AS BulkColumn From OPENROWSET(BULK 'd:\\XmlFile.xml', SINGLE_BLOB) AS X";

cmd.ExecuteNonQuery();

cmd.Parameters.Clear();

最后创建一个触发器，在我将文件XmlFile插入到我的MS-SQL Server数据库之后执行存储过程：

USE [DatabaseName]
GO

SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO

ALTER TRIGGER [dbo].[trigger1]
ON  [dbo].[Table_FileXml] 
AFTER INSERT
AS 
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;

-- Insert statements for trigger here

DECLARE @xml xml
SELECT top(1) @xml=xml FROM Table_fileXml ORDER BY id DESC

SELECT data.value('created_time[1]','datetime') AS Data_CreatedTime
  ,data.value('id[1]','nvarchar(max)') AS Data_Id
  ,data.value('message[1]','nvarchar(max)') AS Data_Message
  ,data.value('(from/id)[1]','nvarchar(50)') AS Data_From_Id
  --more values here
  ,data.value('(from/picture/data/url)[1]','nvarchar(max)') AS Data_From_Picture_URL
  --more values here

  ,comment.value('created_time[1]','datetime') AS Comment_CreatedTime
  ,comment.value('id[1]','nvarchar(max)') AS Comment_Id
  ,comment.value('message[1]','nvarchar(max)') AS Comment_Message
  ,comment.value('(from/id)[1]','nvarchar(50)') AS Comment_From_Id
  --more values here
  ,comment.value('(from/picture/data/url)[1]','nvarchar(max)') AS Comment_From_Picture_URL
  --more values here

FROM @xml.nodes('/data/data') AS A(data)
OUTER APPLY data.nodes('comments/data') AS B(comment) 
BEGIN
DECLARE @xml2 xml
SELECT top(1) @xml2=xml FROM Table_fileXml ORDER BY id DESC
INSERT INTO Table_comment(from_id,from_pic,comment_message)
SELECT DISTINCT comment.value('(from/id)[1]','nvarchar(50)')  AS from_id,
data.value('(from/picture/data/url)[1]','nvarchar(max)') AS from_pic,
comment.value('message[1]','nvarchar(max)') AS comment_message
FROM @xml2.nodes('/data/data') AS A(data)
OUTER APPLY data.nodes('comments/data') AS B(comment) 
END
END

结果是正确的。在没有存储过程的情况下使用just触发器只给我FileXML的最后一行。这就是为什么我必须使用带触发器的存储过程。

感谢“Shnugo”，“Martin Staufcik”和“Abouzar”的宝贵帮助。

相关问题
最新问题