Sql:
select distinct DateAdd(Day, DateDiff(Day, 0, m.Receive_date), 0) as Date,
(select count(*) from Raw_Mats A where DateAdd(Day, DateDiff(Day, 0, A.Receive_date), 0)=DateAdd(Day, DateDiff(Day, 0, m.Receive_date), 0)) as Total,
(select count(*) from Raw_Mats B where DateAdd(Day, DateDiff(Day, 0, B.Receive_date), 0)=DateAdd(Day, DateDiff(Day, 0, m.Receive_date), 0) and B.status='Solved') as Delivered,
(select count(*) from Raw_Mats C where DateAdd(Day, DateDiff(Day, 0, C.Receive_date), 0)=DateAdd(Day, DateDiff(Day, 0, m.Receive_date), 0) and C.status='Pending') as UnDelivered
from Raw_Mats m where m.Receive_date between '2011-07-01' and '2011-07-21'
How to increase the performance of the above query. It is taking 44 secs . wanna make it less than 10 secs
Thanks
Do you have an index on both
Receive_dateandstatus? (not an index on each, combined)Also:
By using COUNT(CASE) you can remove
DeliveredandUnDeliveredsubqueries>=and<=which isn’t the usually correct for dates with timesI’ve used a subquery here for clarity but it doesn’t matter:
Edit, without subquery.
I started with a subquery because I thought it’s be more complex than expected and didn’t bother taking it out…