If you know you will have exactly 4 columns, then you can also use this nested CTE version:
;with s1 (name, extra) as
(
select left(data, charindex('/', data)-1),
substring(data, charindex('/', data) +1, len(data))
from yourtable
),
s2 (name, surname, extra) as
(
select name,
left(extra, charindex('/', extra)-1),
substring(extra, charindex('/', extra)+1, len(extra))
from s1
),
s3 (name, surname, [character], company) as
(
select name,
surname,
left(extra, charindex('/', extra)-1),
substring(extra, charindex('/', extra)+1, len(extra))
from s2
)
select *
from s3;
See SQL Fiddle with Demo
The result is:
| NAME | SURNAME | CHARACTER | COMPANY |
-----------------------------------------
| Peter | Parker | Spiderman | Marvel |
| Bruce | Wayne | Batman | DC |
Or you can implement both a CTE that splits the data and then a PIVOT
:
;with cte (item, data, colNum, rn) as
(
select cast(left(data, charindex('/',data+'/')-1) as varchar(50)) item,
stuff(data, 1, charindex('/',data+'/'), '') data,
1 colNum,
row_number() over(order by data) rn
from yourtable
union all
select cast(left(data, charindex('/',data+'/')-1) as varchar(50)) ,
stuff(data, 1, charindex('/',data+'/'), '') data,
colNum+1,
rn
from cte
where data > ''
)
select [1] as Name,
[2] as Surname,
[3] as [character],
[4] as company
from
(
select item, colnum, rn
from cte
) src
pivot
(
max(item)
for colnum in ([1], [2], [3], [4])
) piv
See SQL Fiddle with Demo