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    <p>Here is how I would do that:</p> <pre><code>/* create table ##order ( ID int, ProdID int, Quantity int, [Date] date, CustID int, StoreID int ); insert into ##order values (1,1,5,'2011-01-10' ,12,1), (2,2,10,'2011-03-10',4 ,1), (3,3,8,'2011-03-10' ,5 ,1), (4,4,11,'2011-05-10',4 ,2), (5,5,5,'2011-05-10' ,14,2), (6,6,8,'2011-06-10' ,3 ,3); create table ##product (ProdID int, ProdName varchar(64), ProdDesc varchar(255), ProdType int); insert into ##product values (1,'Bananas','Chiquita',1), (2,'Apples','Green Apples',1), (3,'Grapes','Green Grapes',1), (4,'Potatoes','Idaho potatoes',2), (5,'Brocolli','Green Brocolli',2), (6,'Plates','Paper Plates',3); create table ##ProdType (TypeID int, Name varchar(64), [Desc] varchar(255)); insert into ##ProdType values (1,'Fruits','Fresh Fruits'),(2,'Vegetables','Fresh Veggies'),(3,'Kitchen','Kitchen stuff'); create table ##loc (loc_id int, city varchar(50), [state] varchar(50)) insert into ##loc values(1, 'Atlanta','GA'), (2, 'New york', 'NY'), (3, 'Chicago', 'IL'); */ declare @cmd varchar(max), @columns varchar(max) set @columns = '' select @columns = @columns + '['+Name+'],' from ##ProdType order by name asc select @columns = substring(@columns, 0, len(@columns)) set @cmd = ' select city, date,'+@columns+' from ( select ct.city, ord.Date, pt.Name, ord.Quantity from ##order ord join ##product pr on ord.ProdID = pr.ProdID join ##ProdType pt on pr.ProdType = pt.TypeID join ##loc ct on ord.StoreID = ct.loc_id )date_to_pivot PIVOT ( SUM(Quantity) for Name in ('+@columns+') )PIVOTED_DATA' exec (@cmd) </code></pre> <p>Here is the extension using the case statements:</p> <pre><code>set @columns = '' select @columns = '' select @columns = @columns + 'sum(case when pt.Name = '''+Name+''' then ord.Quantity else 0 end) as '+Name+'_SUM,' from ##ProdType order by name asc select @columns = @columns + 'count(case when pt.Name = '''+Name+''' then ord.Quantity else 0 end) as '+Name+'_COUNT,' from ##ProdType order by name asc select @columns = substring(@columns, 0, len(@columns)) set @cmd = ' select ct.city, ord.Date, ' +@columns+ ' from ##order ord join ##product pr on ord.ProdID = pr.ProdID join ##ProdType pt on pr.ProdType = pt.TypeID join ##loc ct on ord.StoreID = ct.loc_id group by ct.city, ord.Date' exec (@cmd) </code></pre>
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    1. USMichal Barcik
    1. USMichal Barcik
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    1. COHi Michal Thanks for your reply, I got your suggestion to work for Quantity but I have another question or two :) 1) If I want to display the Sum for another column besides quantity just for example sake say SUM(Store_locID ) how could I do that I tried to do PIVOT ( SUM(Quantity) for Name in ('+@columns+'), SUM(Store_locID) for Name in ('+@columns+') )PIVOTED_DATA' but it doesnt let me add any additional columns I would like to see the sum for? 2) How could I use Alias or rename the Sum quantity columns for ex Veggies(Sum), Fruits(Sum) etc
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    2. COYou can not do that in one PIVOT operator, the limitation is that you can use only one aggregation. What you could do is execute 2 of this statements and then join them based on the date and product type. Or you could revrite the PIVOT operator using the case statement.
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    3. COI added the case stataments, so you only need to add the desired aggregate to the @column variable
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