How do I display my table data horizontally?
This is my table definition
create table [User]
(
Id int primary key identity(1,1),
Name varchar(50),
Gender varchar(10)
)
This is the data I have in my SQL Server table
+====+=======+========+
| Id | Name | Gender |
+====+=======+========+
| 1 | Fahad | Male |
+----+-------+--------+
| 2 | Saad | Male |
+----+-------+--------+
| 3 | Asif | Male |
+====+=======+========+
and I want to show it horizontally like this
+========+=======+======+======+
| Id | 1 | 2 | 3 |
+========+=======+======+======+
| Name | Fahad | Saad | Asif |
+--------+-------+------+------+
| Gender | Male | Male | Male |
+========+=======+======+======+
Perhaps a combination of UNPIVOT and PIVOT?
(Although your columns need to be of the same type for this to work, which I've changed in your table, or you can just CAST in a SELECT/CTE etc)
CREATE table [User](
Id int primary key identity(1,1),
Name varchar(50),
Gender varchar(50)
)
SET IDENTITY_INSERT [User] ON
INSERT INTO [User](Id,Name,Gender) VALUES
(1, 'Fahad','Male'),
(2,'Saad','Male'),
(3,'Asif','Male')
SELECT * FROM [User]
UNPIVOT ([Value] FOR Cols IN ([Name],[Gender])) Unp
PIVOT (MAX([Value]) FOR Id IN ([1],[2],[3])) Piv
Cols 1 2 3
------ ------ ------ -------
Gender Male Male Male
Name Fahad Saad Asif
(2 row(s) affected)
CASE can also be used to achieve the same - there are tons of examples on SO.
Edit: Excellent example Simple way to transpose columns and rows in Sql?
(and this is probably a dup of that question)
Yes, it seems we might need to do combination of UNPIVOT and PIVOT.
Try below, It may provide you the exact result as what you expect. Please change your design first
Gender varchar(10) to Gender varchar(50)
Try below,
;WITH cte AS(
SELECT *
FROM [User]
UNPIVOT([Value] FOR Cols IN ([Name], [Gender])) Unp
PIVOT(MAX([Value]) FOR Id IN ([1], [2], [3])) Piv
)
SELECT Cols AS Id,
[1],
[2],
[3]
FROM cte
ORDER BY
Id DESC
Here is a stored procedure that works on any given table. It presumes that the table key is in the first column.
IF OBJECT_ID(N'[Invert]','P') IS NOT NULL
DROP PROCEDURE [Invert]
GO
CREATE PROCEDURE dbo.[Invert] #tbl sysname, #top int=1000 AS
DECLARE #key sysname SELECT #key=COLUMN_NAME FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME=#tbl AND ORDINAL_POSITION=1
DECLARE #sql nvarchar(max), #ids varchar(max)
SET #sql='SELECT TOP '+CAST(#top as varchar(9))+' #out=COALESCE(#out+'','','''')+QUOTENAME('
+QUOTENAME(#key)+') FROM '+QUOTENAME(#tbl)+' ORDER BY '+QUOTENAME(#key)
EXECUTE sp_executesql #sql, N'#out varchar(max) OUTPUT', #out=#ids OUTPUT
SET #sql=NULL
SELECT #sql=COALESCE(#sql+' UNION ALL ','')+'SELECT '''+COLUMN_NAME+''' AS '+QUOTENAME(#key)
+ ',* FROM (SELECT TOP '+CAST(#top as varchar(9))+' '+QUOTENAME(#key)+' k,CAST('
+ QUOTENAME(COLUMN_NAME)+'as varchar(8000)) m FROM '+QUOTENAME(#tbl)
+' ORDER BY '+QUOTENAME(#key)+') t PIVOT (MAX(m) FOR k IN ('+#ids+')) x'+CHAR(13)
FROM INFORMATION_SCHEMA.COLUMNS c WHERE TABLE_NAME=#tbl AND c.ORDINAL_POSITION>1
ORDER BY c.ORDINAL_POSITION
EXECUTE(#sql)
GO
The stored procedure uses PIVOT to pivot each column. UNPIVOT is nice, but can only be used if all the columns have the same type (including length). The procedure generates a dynamic SELECT that uses UNION ALL operator to combine PIVOTs for each column (except the key). The list of key values (#ids) is also dynamically generated because the PIVOT command expects an explicit column list.
Then you can call it like this:
EXEC Invert [User]
The second optional parameter is the top clause (the default is 1000). Below is an example that returns a maximum of 5 rows:
EXEC Invert [User], 5
create table [User]
(
Id int primary key identity(1,1),
Name varchar(50),
Gender varchar(50),sal varchar(50)
)SET IDENTITY_INSERT [User] ON
--give same data type and size to all of field
INSERT INTO [User](Id,Name,Gender,sal) VALUES
(1, 'Fahad','Male',10000),
(2,'Saad','Male',20000),
(3,'Asif','Male',30000)
SELECT * FROM [User]
UNPIVOT ([Val] FOR Cols IN (name,gender,sal)) Unp
PIVOT (MAX([Val]) FOR Id IN ([1],[2],[3])) Piv
Cols 1 2 3
------ ------ ------ -------
Gender Male Male Male
Name Fahad Saad Asif
sal 10000 20000 30000
Related
I'm sorry, I didn't fully explain what I'm looking for. Here is whatI am using:
The table contains xml in the following format"
<row>
<POLICYNUMBER>IFH6000258-04</POLICYNUMBER>
<POLICY_NO>CFH6000258</POLICY_NO>
<POLICY_MOD>03</POLICY_MOD>
</row>
declare #mystuff xml;
set #mystuff = (select top 1 * from TMP_APP for xml path)
INSERT INTO [dbo].[FredTest]
(
[xmlstuff]
)
VALUES
(
#mystuff
)
DECLARE #hldit table (ID int not null,xmldata xml)
* set #hldit = (select xmlstuff from FredTest)
Select entr.value('local-name(.)', 'VARCHAR(50)') as nme,
entr.value('(.)[1]', 'varchar(50)') dta
From #hldit
Cross apply
XmlData.nodes('/root/row/*') as xt(entr)
I get an error on the set(see *). I can't seem to populate the table.
I want to insert the output into a table with 2 columns,'name' and 'value' and have a separate record for each pair.
The output should look like;
Name Value
record 1 Policynumber IFH6000258-04
record 2 Policy_no CFH6000258
record 3 Policy_mod. 03
I feel like I am close. Everything runs but I can't populate the #hldit table. I hope this explains my problem.
Thanks
I am new to XML. I have to extract records, store them in an xml data field in a different table, then extract the xml data and store the name/value pairs in another table. I'm good up to creating the xml data. What I can't figure out is how to take the raw xml from the table, create a table with the name/value pairs stored as individual records. I have looked and tried everything out there but still now luck. I'm hoping the final rows in the new table would look like:
name value
--------------------------
firstname Fred
lastname jones
address 123 here street
instead of like this:
firstname="fred" lastname="jones address="123 here street"
I'll even take it in xml PATH format instead of RAW.
Thanks for any help you can give.
It seems I know what you are after.
Please try the following conceptual example.
It will work in MS SQL Server 2005 onwards.
SQL #1, attributes based
-- DDL and sample data population, start
DECLARE #tbl TABLE (ID INT IDENTITY PRIMARY KEY, xmldata XML);
INSERT INTO #tbl (xmldata) VALUES
(N'<root>
<r firstname="fred" lastname="jones" address="123 here street"/>
<r firstname="Laura" lastname="Bush" address="257 somewhere street"/>
</root>');
-- DDL and sample data population, end
SELECT c.value('local-name(.)','VARCHAR(30)') AS [Column]
, c.value('.', 'VARCHAR(100)') AS [Value]
FROM #tbl
CROSS APPLY xmldata.nodes('/root/r/#*') AS t(c);
Output
+-----------+----------------------+
| Column | Value |
+-----------+----------------------+
| firstname | fred |
| lastname | jones |
| address | 123 here street |
| firstname | Laura |
| lastname | Bush |
| address | 257 somewhere street |
+-----------+----------------------+
SQL #2, elements based
-- DDL and sample data population, start
DECLARE #destination TABLE (ID INT, pos INT, [Name] VARCHAR(30), [Value] VARCHAR(100));
DECLARE #tbl TABLE (ID INT IDENTITY PRIMARY KEY, xmldata XML);
INSERT INTO #tbl (xmldata) VALUES
(N'<row>
<POLICYNUMBER>IFH6000258-04</POLICYNUMBER>
<POLICY_NO>CFH6000258</POLICY_NO>
<POLICY_MOD>03</POLICY_MOD>
</row>');
-- DDL and sample data population, end
INSERT INTO #destination (ID, pos, [Name],[Value])
SELECT ID
, c.value('let $n := . return count(../*[. << $n])+1', 'INT') AS pos
, c.value('local-name(.)','VARCHAR(30)') AS [Name]
, c.value('.', 'VARCHAR(100)') AS [Value]
FROM #tbl
CROSS APPLY xmldata.nodes('/row/*') AS t(c);
-- test
SELECT * FROM #destination;
Output
+----+-----+--------------+---------------+
| ID | pos | Name | Value |
+----+-----+--------------+---------------+
| 1 | 1 | POLICYNUMBER | IFH6000258-04 |
| 1 | 2 | POLICY_NO | CFH6000258 |
| 1 | 3 | POLICY_MOD | 03 |
+----+-----+--------------+---------------+
There is a table called 'member' which has 60 columns. Only some of the columns have values; 5 columns have values and the rest of 55 columns are NULL.
The problem is that the columns with values are scattered and I find it difficult to search the row to find the ones which have values.
I have tried a few suggestions which I received while posting this question. Below is one of them.
select * from table order by NULLIF(value,'') = '' DESC, value
I tried below
select * from member order by NULLIF(date_of_begin,'')
This doesn't satisfy my requirement when I want something like this. I use a select statement and segregate all columns having values to be displayed first and then all columns with NULL displayed last.
ID Member Name Age Gender Date of begin DOB DOC Extra
1 John 34 M 4/10/2019 NULL NULL NULL
2 Jack NULL M 4/11/2019 NULL NULL NULL
3 David 54 M 4/15/2019 NULL NULL NULL
4 Eric NULL M 4/16/2019 NULL NULL NULL
5 Ivan 45 M 4/10/2019 NULL NULL NULL
I want a select statement which will divide the above example with the below grouping. Age is NULL for Jack, so it should be placed in last column and displayed. This will make my work easier in finding which columns have NULL and which have values sorted.
For example-- >
Select * from member where id =2 IS NOT NULL (I need help here in this statement change)
Desired results:
ID Member Name Gender Date of begin DOB DOC Extra Age
2 Jack M 4/11/2019 NULL NULL NULL NULL
I'm not willing to swear this is worth the effort, but if you only need one ID at a time, or at least only a few, this will return only the non-null column values. If you wanted to go to even greater pain and try to pivot it back into rows, have at it, but this gets you a workable result set.
We're using CROSS APPLY to unpivot your results, and then dispose of the NULL values. You're data doesn't look like a row anymore, but the handful of data points you need are there for you.
Using the CROSS APPLY, in order to get all of the column values into one single column, I CAST them all as NVARCHAR data, so your results are all text fields.
In the example, I returned two ID values, just so you could see how that would look.
Data set up, in case anybody else wants to take a swing at this:
DECLARE #table TABLE(
ID INTEGER NOT NULL PRIMARY KEY
,Member_Name VARCHAR(5) NULL
,Age INTEGER NULL
,Gender VARCHAR(1) NULL
,Date_of_begin DATE NOT NULL
,DOB VARCHAR(4) NULL
,DOC VARCHAR(4) NULL
,Extra VARCHAR(4) NULL
);
INSERT INTO #table(ID,Member_Name,Age,Gender,Date_of_begin,DOB,DOC,Extra) VALUES (1,'John',34,'M','4/10/2019',NULL,NULL,NULL);
INSERT INTO #table(ID,Member_Name,Age,Gender,Date_of_begin,DOB,DOC,Extra) VALUES (2,'Jack',NULL,'M','4/11/2019',NULL,NULL,NULL);
INSERT INTO #table(ID,Member_Name,Age,Gender,Date_of_begin,DOB,DOC,Extra) VALUES (3,'David',54,'M','4/15/2019',NULL,NULL,NULL);
INSERT INTO #table(ID,Member_Name,Age,Gender,Date_of_begin,DOB,DOC,Extra) VALUES (4,'Eric',NULL,'M','4/16/2019',NULL,NULL,NULL);
INSERT INTO #table(ID,Member_Name,Age,Gender,Date_of_begin,DOB,DOC,Extra) VALUES (5,'Ivan',45,'M','4/10/2019',NULL,NULL,NULL);
Here's the query.
SELECT
c.*
FROM #table AS t
CROSS APPLY (VALUES ('ID',CAST(t.ID AS NVARCHAR(30))),
('Member_Name',CAST(t.Member_Name AS NVARCHAR(30))),
('Age',CAST(t.Age AS NVARCHAR(30))),
('Gender',CAST(t.Gender AS NVARCHAR(30))),
('Date_of_begin',CAST(t.Date_of_begin AS NVARCHAR(30))),
('DOB',CAST(t.DOB AS NVARCHAR(30))),
('DOC',CAST(t.DOC AS NVARCHAR(30))),
('Extra',CAST(t.Extra AS NVARCHAR(30)))
) c (ColName,ColValue)
WHERE t.ID IN (2,3)
AND c.ColValue IS NOT NULL
ORDER BY
t.ID,
CASE
WHEN c.ColName = 'ID' THEN 1
WHEN c.ColName = 'Member_Name' THEN 2
ELSE 3
END
Results:
+---------------+------------+
| ColName | ColValue |
+---------------+------------+
| ID | 2 |
| Member_Name | Jack |
| Gender | M |
| Date_of_begin | 2019-04-11 |
| ID | 3 |
| Member_Name | David |
| Age | 54 |
| Gender | M |
| Date_of_begin | 2019-04-15 |
+---------------+------------+
The solution I suggest is to store one record in n rows,
n is the number of columns,
then you can order the result as you wish using order by
or add the criteria based on NULL values
I am using the system sql server tables syscolumns and sysobjects
create table tab_mytable (id int ,colonne varchar(100),valeur varchar(100));
insert into tab_mytable(id,colonne) select c.colid,c.name from sysobjects o inner join
syscolumns c on o.id=c.id where o.name='member' order by c.colid
declare #cmd as varchar(1000)
declare #mytab as table (val varchar(100))
declare mycursor cursor for select colonne from tab_mytable
declare #colonne as varchar(100)
declare #val as varchar(100)
open mycursor
fetch mycursor into #colonne
while ##fetch_status=0
begin
set #cmd= 'select '+#colonne +' from member where id=2'
insert into #mytab exec(#cmd)
select #val=val from #mytab
set #cmd='update tab_mytable set valeur='''+#val+''' where colonne='''+#colonne+''''
exec(#cmd)
print #cmd
delete from #mytab
fetch mycursor into #colonne
end
close mycursor
deallocate mycursor
--Put here your Query to display teh results as you wish
select * from tab_mytable order by valeur
You can use also the UNPIVOT statement
But in that use you have to write all the column names, for the solution above, you won't write them in your script
Imagine I have 200 columns in one INSERT statement, and I occasionally get an "Cannot convert" error for one of columns. Things is, I do not know which column causes this error.
Is there any way in T-SQL or mybatis to check WHICH column has the incorrect format? (I have just date, char, numeric). I can use ISNUMERIC, ISDATE for every column, but this is not so elegant.
I'm using mybatis in Java, so I cannot use any PreparedStatement or so.
You could build a query that tries to convert each of the suspected columns.
And limit the query to where one of the attempts to convert fails.
Mostly the bad data will be in CHAR's or VARCHAR's when trying to cast or convert them to a datetime or number type.
So you can limit your research to those.
Also, from the error you should see which value failed to convert to which type. Which can also help to limit which fields you research.
A simplified example using table variables:
declare #T1 table (id int identity(1,1) primary key, field1 varchar(30), field2 varchar(30), field3 varchar(30));
declare #T2 table (id int identity(1,1) primary key, field1_int int, field2_date date, field3_dec decimal(10,2));
insert into #T1 (field1, field2, field3) values
('1','2018-01-01','1.23'),
('not an int','2018-01-01','1.23'),
('1','not a date','1.23'),
('1','2018-01-01','not a decimal'),
(null,'2018-01-01','1.23'),
('1',null,'1.23'),
('1','2018-01-01',null)
;
select top 1000
id,
case when try_convert(int, field1) is null then field1 end as field1,
case when try_convert(date, field2) is null then field2 end as field2,
case when try_convert(decimal(10,4), field3) is null then field3 end as field3
from #T1
where
try_convert(int, coalesce(field1, '0')) is null
or try_convert(date, coalesce(field2, '1900-01-01')) is null
or try_convert(decimal(10,4), coalesce(field3, '0.0')) is null;
Returns:
id field1 field2 field3
-- ---------- ----------- -------------
2 not an int NULL NULL
3 NULL not a date NULL
4 NULL NULL not a decimal
If the origin data doesn't have to much bad data you could try to fix the origin data first.
Or use the try_convert for the problematic columns with bad data.
For example:
insert into #T2 (field1_int, field2_date, field3_dec)
select
try_convert(int, field1),
try_convert(date, field2),
try_convert(decimal(10,4), field3)
from #T1;
With larger imports - especially when you expect issues - a two-stepped approach is highly recommended.
import the data to a very tolerant staging table (all NVARCHAR(MAX))
check, evaluate, manipulate, correct whatever is needed and do the real insert from here
Here is a generic approach you might adapt to your needs. It will check all tables values against a type-map-table and output all values, which fail in TRY_CAST (needs SQL-Server 2012+)
A table to mockup the staging table (partly borrowed from LukStorms' answer - thx!)
CREATE TABLE #T1 (id INT IDENTITY(1,1) PRIMARY KEY
,fldInt VARCHAR(30)
,fldDate VARCHAR(30)
,fldDecimal VARCHAR(30));
GO
INSERT INTO #T1 (fldInt, fldDate, fldDecimal) values
('1','2018-01-01','1.23'),
('blah','2018-01-01','1.23'),
('1','blah','1.23'),
('1','2018-01-01','blah'),
(null,'2018-01-01','1.23'),
('1',null,'1.23'),
('1','2018-01-01',null);
--a type map (might be taken from INFORMATION_SCHEMA of an existing target table automatically)
DECLARE #type_map TABLE(ColumnName VARCHAR(100),ColumnType VARCHAR(100));
INSERT INTO #type_map VALUES('fldInt','int')
,('fldDate','date')
,('fldDecimal','decimal(10,2)');
--The staging table's name
DECLARE #TableName NVARCHAR(100)='#T1';
--dynamically created statements for each column
DECLARE #columnSelect NVARCHAR(MAX)=
(SELECT
' UNION ALL SELECT id ,''' + tm.ColumnName + ''',''' + tm.ColumnType + ''',' + QUOTENAME(tm.ColumnName)
+ ',CASE WHEN TRY_CAST(' + QUOTENAME(tm.ColumnName) + ' AS ' + tm.ColumnType + ') IS NULL THEN 0 ELSE 1 END ' +
'FROM ' + QUOTENAME(#TableName)
FROM #type_map AS tm
FOR XML PATH('')
);
-The final dynamically created statement
DECLARE #cmd NVARCHAR(MAX)=
'SELECT tbl.*
FROM
(
SELECT 0 AS id,'''' AS ColumnName,'''' AS ColumnType,'''' AS ColumnValue,0 AS IsValid WHERE 1=0 '
+ #columnSelect +
') AS tbl
WHERE tbl.IsValid = 0;'
--Execution with EXEC()
EXEC(#cmd);
The result:
+----+------------+---------------+-------------+---------+
| id | ColumnName | ColumnType | ColumnValue | IsValid |
+----+------------+---------------+-------------+---------+
| 2 | fldInt | int | blah | 0 |
+----+------------+---------------+-------------+---------+
| 5 | fldInt | int | NULL | 0 |
+----+------------+---------------+-------------+---------+
| 3 | fldDate | date | blah | 0 |
+----+------------+---------------+-------------+---------+
| 6 | fldDate | date | NULL | 0 |
+----+------------+---------------+-------------+---------+
| 4 | fldDecimal | decimal(10,2) | blah | 0 |
+----+------------+---------------+-------------+---------+
| 7 | fldDecimal | decimal(10,2) | NULL | 0 |
+----+------------+---------------+-------------+---------+
The statement created is like here:
SELECT tbl.*
FROM
(
SELECT 0 AS id,'' AS ColumnName,'' AS ColumnType,'' AS ColumnValue,0 AS IsValid WHERE 1=0
UNION ALL SELECT id
,'fldInt'
,'int'
,[fldInt]
,CASE WHEN TRY_CAST([fldInt] AS int) IS NULL THEN 0 ELSE 1 END
FROM [#T1]
UNION ALL SELECT id
,'fldDate'
,'date',[fldDate]
,CASE WHEN TRY_CAST([fldDate] AS date) IS NULL THEN 0 ELSE 1 END
FROM [#T1]
UNION ALL SELECT id
,'fldDecimal'
,'decimal(10,2)'
,[fldDecimal]
,CASE WHEN TRY_CAST([fldDecimal] AS decimal(10,2)) IS NULL THEN 0 ELSE 1 END
FROM [#T1]
) AS tbl
WHERE tbl.IsValid = 0;
I have a table in which I copy the data based on an condition and I insert it into the same table with a different ID.As follows:
SET IDENTITY_INSERT Table ON
INSERT INTO Table (ID,GroupID,Name,link,etc..)
SELECT
(SELECT MAX(ID) FROM Table) + ROW_NUMBER()OVER (ORDER BY ID),
10500,
Name,
link
FROM Table
WHERE GroupID =10400
SET IDENTITY_INSERT Table OFF
this gives me the following table
**ID | GroupID | Link**
3 | 10400 |/testsDatas/10400/Uploads
4 | 10500 |/testsDatas/10400/Uploads //this is a new entry that the above query will enter.
The question I have is when the above query copies a row how can I change /testsDatas/10400/ to /testsDatas/10500/?
so that it looks like the following
**ID | GroupID | Link**
3 | 10400 |/testsDatas/10400/Uploads
4 | 10500 |/testsDatas/10500/Uploads //desired output
there is mulitple rows of data,with more columns that I did not add.How do I achieve this?
Would using REPLACE work for you? A simple example:]
DECLARE #table TABLE ( ID INT, name VARCHAR(50), link VARCHAR(50) )
INSERT INTO #table
VALUES
( 3, '10400', '/testsDatas/10400/Uploads' )
INSERT INTO #table
SELECT
(
SELECT MAX(ID)
FROM #table
) + ROW_NUMBER() OVER (ORDER BY ID),
10500,
REPLACE( link, name, 10500 )
FROM #table
SELECT *
FROM #table
My results:
In a SQL Server table, I have a XML column where status are happened (first is oldest, last current status).
I have to write a stored procedure that returns the statuses: newest first, oldest last.
This is what I wrote:
ALTER PROCEDURE [dbo].[GetDeliveryStatus]
#invoiceID nvarchar(255)
AS
BEGIN
SET NOCOUNT ON;
DECLARE #xml xml
SET #xml = (SELECT statusXML
FROM Purchase
WHERE invoiceID = #invoiceID )
SELECT
t.n.value('text()[1]', 'nvarchar(50)') as DeliveryStatus
FROM
#xml.nodes('/statuses/status') as t(n)
ORDER BY
DeliveryStatus DESC
END
Example of value in the statusXML column:
<statuses>
<status>A</status>
<status>B</status>
<status>A</status>
<status>B</status>
<status>C</status>
</statuses>
I want the procedure to return:
C
B
A
B
A
with ORDER BY .... DESC it return ALPHABETIC reversed (C B B A A)
How should I correct my procedure ?
Create a sequence for the nodes based on the existing order then reverse it.
WITH [x] AS (
SELECT
t.n.value('text()[1]', 'nvarchar(50)') as DeliveryStatus
,ROW_NUMBER() OVER (ORDER BY t.n.value('..', 'NVARCHAR(100)')) AS [Order]
FROM
#xml.nodes('/statuses/status') as t(n)
)
SELECT
DeliveryStatus
FROM [x]
ORDER BY [x].[Order] DESC
... results ...
DeliveryStatus
C
B
A
B
A
There is no need to declare a variable first. You can (and you should!) read the needed values from your table column directly. Best was an inline table valued function (rather than a SP just to read something...)
Better performance
inlineable
You can query many InvoiceIDs at once
set-based
Try this (I drop the mock-table at the end - carefull with real data!):
CREATE TABLE Purchase(ID INT IDENTITY,statusXML XML, InvocieID INT, OtherValues VARCHAR(100));
INSERT INTO Purchase VALUES('<statuses>
<status>A</status>
<status>B</status>
<status>A</status>
<status>B</status>
<status>C</status>
</statuses>',100,'Other values of your row');
GO
WITH NumberedStatus AS
(
SELECT ID
,InvocieID
, ROW_NUMBER() OVER(ORDER BY (SELECT NULL)) AS Nr
,stat.value('.','nvarchar(max)') AS [Status]
,OtherValues
FROM Purchase
CROSS APPLY statusXML.nodes('/statuses/status') AS A(stat)
WHERE InvocieID=100
)
SELECT *
FROM NumberedStatus
ORDER BY Nr DESC
GO
--Clean-Up
--DROP TABLE Purchase;
The result
+---+-----+---+---+--------------------------+
| 1 | 100 | 5 | C | Other values of your row |
+---+-----+---+---+--------------------------+
| 1 | 100 | 4 | B | Other values of your row |
+---+-----+---+---+--------------------------+
| 1 | 100 | 3 | A | Other values of your row |
+---+-----+---+---+--------------------------+
| 1 | 100 | 2 | B | Other values of your row |
+---+-----+---+---+--------------------------+
| 1 | 100 | 1 | A | Other values of your row |
+---+-----+---+---+--------------------------+