-- Given a CSV string like this:
declare @roles varchar(800)
select @roles = 'Pub,RegUser,ServiceAdmin'
-- Question: How to get roles into a table view like this:
select 'Pub'
union
select 'RegUser'
union
select 'ServiceAdmin'
After posting this, I started playing with some dynamic SQL. This seems to work, but seems like there might be some security risks by using dynamic SQL - thoughts on this?
declare @rolesSql varchar(800)
select @rolesSql = 'select ''' + replace(@roles, ',', ''' union select ''') + ''''
exec(@rolesSql)
See my answer from here
But basically you would:
Create this function in your DB:
CREATE FUNCTION dbo.Split(@origString varchar(max), @Delimiter char(1))
returns @temptable TABLE (items varchar(max))
as
begin
declare @idx int
declare @split varchar(max)
select @idx = 1
if len(@origString )<1 or @origString is null return
while @idx!= 0
begin
set @idx = charindex(@Delimiter,@origString)
if @idx!=0
set @split= left(@origString,@idx - 1)
else
set @split= @origString
if(len(@split)>0)
insert into @temptable(Items) values(@split)
set @origString= right(@origString,len(@origString) - @idx)
if len(@origString) = 0 break
end
return
end
and then call the function and pass in the string you want to split.
Select * From dbo.Split(@roles, ',')
If you're working with SQL Server compatibility level 130 then the STRING_SPLIT function is now the most succinct method available.
Reference link: https://msdn.microsoft.com/en-gb/library/mt684588.aspx
Usage:
SELECT * FROM string_split('Pub,RegUser,ServiceAdmin',',')
RESULT:
value
-----------
Pub
RegUser
ServiceAdmin
Here's a thorough discussion of your options:
- Arrays and Lists in SQL Server
Using SQL Server's built in XML parsing is also an option. Of course, this glosses over all the nuances of an RFC-4180 compliant CSV.
-- Given a CSV string like this:
declare @roles varchar(800)
select @roles = 'Pub,RegUser,ServiceAdmin'
-- Here's the XML way
select split.csv.value('.', 'varchar(100)') as value
from (
select cast('<x>' + replace(@roles, ',', '</x><x>') + '</x>' as xml) as data
) as csv
cross apply data.nodes('/x') as split(csv)
If you are using SQL 2016+, using string_split
is better, but this is a common way to do this prior to SQL 2016.
Using BULK INSERT you can import a csv file into your sql table -
http://blog.sqlauthority.com/2008/02/06/sql-server-import-csv-file-into-sql-server-using-bulk-insert-load-comma-delimited-file-into-sql-server/