consider below table and its records
create table dbo.test
(
id numeric(4),
vals nvarchar(1000)
);
insert into dbo.test values (1,'1,2,3,4,5');
insert into dbo.test values (2,'6,7,8,9,0');
insert into dbo.test values (3,'11,54,76,23');
I am going to use below function to split CSVs, you can use any method to help in select
syntax
CREATE FUNCTION [aml].[Split](@String varchar(8000), @Delimiter char(1))
returns @temptable TABLE (items varchar(8000))
as
begin
declare @idx int
declare @slice varchar(8000)
select @idx = 1
if len(@String)<1 or @String is null return
while @idx!= 0
begin
set @idx = charindex(@Delimiter,@String)
if @idx!=0
set @slice = left(@String,@idx - 1)
else
set @slice = @String
if(len(@slice)>0)
insert into @temptable(Items) values(@slice)
set @String = right(@String,len(@String) - @idx)
if len(@String) = 0 break
end
return
end
I want to select id
and max
and min
values from vals
against each record.
Update Though i am writing the query on SQL Server 2008 but i need to support SQL Server 2005 and above
You can CROSS APPLY
to the table projected by the function and then apply normal aggregation functions on each group of id
:
SELECT t.id, MIN(CAST(x.items AS INT)) AS MinItem, MAX(CAST(x.items AS INT)) AS MaxItem
FROM dbo.test t
CROSS APPLY dbo.Split(t.vals, ',') x
GROUP BY t.id;
(Edit - since these appear to be integers, you'll want to cast before applying the MIN / MAX
aggregates otherwise you'll get an alphanumeric sort)
SqlFiddle example here
Another option is to persist the comma separated list in a normalized table structure before applying queries over them - it isn't useful storing non-normalized data in an RDBMS :)
Without function, just plain sql
:
SELECT t.id,
Max(Split.a.value('.', 'VARCHAR(100)')) AS MaxVal,
Min(Split.a.value('.', 'VARCHAR(100)')) AS MinVal
FROM
(
SELECT id,
CAST ('<M>' + REPLACE(vals, ',', '</M><M>') + '</M>' AS XML) AS Data
FROM test
) AS t CROSS APPLY Data.nodes ('/M') AS Split(a)
group by t.id
Fiddle http://sqlfiddle.com/#!3/22321/6
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