I've already answered an incredibly similar question today, so look at the answer:
http://stackoverflow.com/questions/2341374/sql-comma-delimted-column-to-rows-then-sum-totals/2341510#2341510
but try this:
I prefer the number table approach to split a string in TSQL
For this method to work, you need to do this one time table setup:
SELECT TOP 10000 IDENTITY(int,1,1) AS Number
INTO Numbers
FROM sys.objects s1
CROSS JOIN sys.objects s2
ALTER TABLE Numbers ADD CONSTRAINT PK_Numbers PRIMARY KEY CLUSTERED (Number)
Once the Numbers table is set up, create this split function:
CREATE FUNCTION [dbo].[FN_ListToTable]
(
@SplitOn char(1) --REQUIRED, the character to split the @List string on
,@List varchar(8000)--REQUIRED, the list to split apart
)
RETURNS TABLE
AS
RETURN
(
----------------
--SINGLE QUERY-- --this will not return empty rows
----------------
SELECT
ListValue
FROM (SELECT
LTRIM(RTRIM(SUBSTRING(List2, number+1, CHARINDEX(@SplitOn, List2, number+1)-number - 1))) AS ListValue
FROM (
SELECT @SplitOn + @List + @SplitOn AS List2
) AS dt
INNER JOIN Numbers n ON n.Number < LEN(dt.List2)
WHERE SUBSTRING(List2, number, 1) = @SplitOn
) dt2
WHERE ListValue IS NOT NULL AND ListValue!=''
);
GO
You can now easily split a CSV string into a table and join on it:
select * from dbo.FN_ListToTable(',','1,2,3,,,4,5,6777,,,')
OUTPUT:
ListValue
-----------------------
1
2
3
4
5
6777
(6 row(s) affected)
Your can now use a CROSS APPLY to split every row in your table like:
DECLARE @YourTable table (RowID int, RowValue varchar(200))
INSERT INTO @YourTable VALUES (1,'KEY11:VALUE11;KEY12:VALUE12;KEY13:VALUE13')
INSERT INTO @YourTable VALUES (2,'KEY21:VALUE21;KEY22:VALUE22;KEY23:VALUE23')
INSERT INTO @YourTable VALUES (3,'KEY31:VALUE31;KEY32:VALUE32;KEY33:VALUE33')
SELECT
o.RowID,RIGHT(st.ListValue,LEN(st.ListValue)-CHARINDEX(':',st.ListValue)) AS RowValue
FROM @YourTable o
CROSS APPLY dbo.FN_ListToTable(';',o.RowValue) AS st
OUTPUT:
RowID
----------- -------
1 VALUE11
1 VALUE12
1 VALUE13
2 VALUE21
2 VALUE22
2 VALUE23
3 VALUE31
3 VALUE32
3 VALUE33
(9 row(s) affected)