How to filter the String based on , and delete the duplicates - sql

Question

Let's Assume I have DataTable in Ms sql that represents simple matrix
Existing Table
ids_cloumn
========================
RX ,BX , AS , RX ,BX , AS
XR ,Xs , AS
XR ,Xs , AS,XR ,Xs , AS
RX ,BX , AS ,
RX ,BX , AS ,
I want to filter the duplicated data in string and data is separated by ' , '
ids_column
========================
RX ,BX , AS
XR ,Xs , AS
XR ,Xs , AS
RX ,BX , AS ,
RX ,BX , AS ,
right now i am using this But this approach is unsuccessful
declare #i int
declare #c char
declare #rst varchar(8000)
set #i=1
set #rst=substring(‘aaassrt’,1,1)
set #c=”
while #i<=len(‘aaassrt’)
begin
set #c=substring(‘aaassrt’,#i,1)
if charindex( #c,#rst,1)=0
set #rst=#rst+#c
set #i=#i+1
end
select #rst

Answer 1

i hope this will help you xQuery but i am not able to remove last comma of string :( another thing for my below query you have to keep specific space between character
declare #temp table (Id int,val nvarchar(33))
insert into #temp values (1,'RX ,BX ,AS ,RX ,BX ,AS')
insert into #temp values (2,'XR ,Xs ,AS ')
insert into #temp values (3,'XR ,Xs ,AS ,XR ,Xs ,AS')
insert into #temp values (4,'RX ,BX ,AS ,')
insert into #temp values (5,'RX ,BX ,AS ,')
select Id,
REPLACE(cast(cast('<d>'+ replace(LTRIM(RTRIM(val)), ' ,','</d><d>')+'</d>' as xml)
.query('distinct-values(/d)') as varchar), ' ', ' ,')AS [val]
from #temp;
RESULT

Answer 2

This is one way on doing it:
declare #data table(ids nvarchar(100))
insert into #data(ids) values
('1 , 2 , 4 , 23 , 1 , 2 , 4 , 23 ,')
, ('1 , 3 , 4 , 3 , 4 ')
, ('2 , 3 , 6 ,')
, ('3 , 5 , 8 , 3 , 5 ')
, ('1 , 7 , 9 ')
Select distinct xml.ids, LTRIM(RTRIM(x.id.value('.', 'varchar(5)'))) as id
From (
Select ids
, CAST('<x>'+REPLACE(ids, ',', '</x><x>') + '</x>' as xml) as data
From #data
) as xml
Cross Apply data.nodes('x') as x(id)
Where LTRIM(RTRIM(x.id.value('.', 'varchar(5)'))) <> ''
Like it has been said by everyone else, you should not store comma separated value in one single column.
You should record it in rows in another table and join it to your main table.