Pivot In Values with dates? - sql

Question

At the end of my sql, I am using the following code. Is there any way of replacing the fixed strings [2011/07/14], [2011/07/16], etc, to GetDate() value?
PIVOT
(
count([AppointmentsBooked])
FOR [date] IN ([2011/07/14], [2011/07/16], [2011/07/17],[2011/07/18],[2011/07/21])
) as pivottable

Answer 1

Can you try to use BETWEEN and DATEADD in following manner:
DECLARE #dates TABLE(value DateTime)
INSERT INTO #dates VALUES
(GETDATE()),
('2011/07/9'),
('2011/07/17'),
('2011/07/18'),
('2011/07/21')
SELECT value FROM #dates
WHERE value BETWEEN GETDATE() AND DATEADD(day, 5, GETDATE())

Answer 2

You can create a string of all dates which is comma seperated with '[' and ']' before and after each date. assign this string to a string variable (#dates) and use the string spit method to split all dates inside the pivot query.

Answer 3

this question was posted about a year ago. i don't care. i have some code that might be exactly what the OP wanted.... i'm sure he'll never come back and chose an answer but still.... all i want to do is count the records by month with a pivot for a few tables and ultimately compare the number of records for each month for each table. however... in this code there is only one table (rt_taco_15m) but that doesn't matter. i just haven't written the rest to completely fit my needs. but i think it fits the needs of the OP or at least gets him on a good start.... if he truly has been waiting a year on this problem. lol.
if object_id('tempdb..#temp') is not null drop table #temp
if object_id('tempdb..#temp2') is not null drop table #temp2
if object_id('tempdb..#temp3') is not null drop table #temp3
declare #start_date as datetime
set #start_date = cast('1-1-2012' as datetime)
declare #end_date as datetime
set #end_date = cast('9-1-2012' as datetime)
;with cte as (
select #start_date as [start],
dateadd(month, 1, #start_date) as [end]
union all
select dateadd(month, 1, [start]) as [start],
dateadd(month, 1, dateadd(month, 1, [start])) as [end]
from cte
where dateadd(month, 1, [start]) <= #end_date
)
(select 'rt_taco_15m' as table_name,
convert(varchar(10), [start], 101) as [start],
convert(varchar(10), [end], 101) as [end],
datename(month, [start]) as month_name,
cast([start] as integer) as orderby,
count(taco.taco_record_id) as [range_count]
into #temp
from cte
left outer join rt_taco_15m as taco
on taco.period >= cte.[start] and
taco.period < cte.[end]
group by cte.[start], cte.[end])
select table_name as table_name,
convert(varchar(10), getdate(), 101) as [start],
convert(varchar(10), getdate(), 101) as [end],
'Total' as month_name,
cast(dateadd(month,2,#end_date) as integer) as orderby,
range_sum as [range_count]
into #temp2
from (select table_name, sum([range_count]) as range_sum
from #temp group by table_name) as summed_up
select *
into #temp3
from (select * from #temp
union all
select * from #temp2) as x
order by orderby
select * from #temp3
declare #cols nvarchar(2000)
select #cols = stuff(
(select '],[' + month_name
from #temp3
order by orderby
for xml path('') )
, 1, 2, '') + ']'
print #cols
if object_id('tempdb..#temp2') is not null drop table #temp2
declare #query varchar(max)
set #query = N'
select table_name, ' + #cols + N'
from (select table_name, month_name, range_count
from #temp3) p
pivot ( sum(range_count) for month_name in ( '+ #cols +' ) ) as pvt'
execute(#query