Extracting Attributes from XML Fields in SQL Server 2008 Table

Question

I have a table with several columns, one of which is a xml column. I do not have a namespace to use in the query. The XML data is always the same structure fo

Answer 1

Just after I posted the question, I stumbled across this answer. Don't know why I couldn't find it in prior searches. It was the answer I was looking for. Here is the query that works:

Query

select Name
      ,xml_data.value('(/data/info/@x)[1]', 'int') as [Info.x]
      ,xml_data.value('(/data/info/@y)[1]', 'int') as [Info.y]
      ,xml_data.value('(/data/info/.)[1]', 'varchar(10)') as [Info]
from   #temp

Result

Name     Info.x    Info.y    Info
-------  --------  --------  ---------
one         42        99     Red
two         27        72     Blue
three       16        51     Green
four        12        37     Yellow

.

------ Edit [2014-01-29] ------

I found another case that is worth adding to this answer. Given multiple <info> elements within the <data> element, it is possible to return all <info> nodes by using cross apply:

create table #temp (id int, name varchar(32), xml_data xml)

insert into #temp values
(1, 'one',   '<data><info x="42" y="99">Red</info><info x="43" y="100">Pink</info></data>'),
(2, 'two',   '<data><info x="27" y="72">Blue</info><info x="28" y="73">Light Blue</info></data>'),
(3, 'three', '<data><info x="16" y="51">Green</info><info x="17" y="52">Orange</info></data>'),
(4, 'four',  '<data><info x="12" y="37">Yellow</info><info x="13" y="38">Purple</info></data>')

select Name
      ,C.value('@x', 'int') as [Info.x]
      ,C.value('@y', 'int') as [Info.y]
      ,C.value('.', 'varchar(10)') as [Info]
from #temp cross apply
     #temp.xml_data.nodes('data/info') as X(C)

drop table #temp

This example returns the following dataset:

Name      Info.x      Info.y      Info
--------- ----------- ----------- ----------
one       42          99          Red
one       43          100         Pink
two       27          72          Blue
two       28          73          Light Blue
three     16          51          Green
three     17          52          Orange
four      12          37          Yellow
four      13          38          Purple