Question[SQL]：Can you create a crosstab report in my SQL Server!

Question：Can you create a cross-tab report in my SQL Server!
How can I get the report about sale quality for each store and each quarter and the total sale quality for each quarter at year 1993?

　　You can use the table sales and stores in datatabase pubs.
Table Sales record all sale detail item for each store. Column store_id is the id of each store, ord_date is the order date of each sale item, and column qty is the sale qulity. Table stores record all store information.
I want to get the result look like as below:
Output:

stor_name  Total Qtr1  Qtr2  Qtr3  Qtr4 
---------------------------------------- ----------- ----------- ----------- ----------- -----------
Barnum's   50 0  50 0  0
Bookbeat   55 25 30 0  0
Doc-U-Mat: Quality Laundry and Books  85 0  85 0  0
Fricative Bookshop  60 35 0  0  25
Total   250   60 165   0  25

Answer：

use [pubs]
go
with arg1 as
(
    --分区统计总数及范围限定
    select t.stor_name, a.stor_id, a.ord_date, a.qty, SUM(a.qty) over(partition by t.stor_name) as totalqty
    from [sales] a
    inner join [stores] t 
        on t.stor_id = a.stor_id
    where a.ord_date between CAST('1993-01-01' as datetime) and cast('1994-01-01' as datetime)
),
arg2 as
(
    --行转列Pivot
    select MAX(stor_name) as stor_name, MAX(totalqty) as totalqty,
    SUM(case when ord_date between CAST('1993-01-01' as datetime) and 
        DATEADD(mm, 3, CAST('1993-01-01' as datetime)) then qty else 0 end) as [Qtr1],
    SUM(case when ord_date between CAST('1993-04-01' as datetime) and 
        DATEADD(mm, 3, CAST('1993-04-01' as datetime)) then qty else 0 end) as [Qtr2],
    SUM(case when ord_date between CAST('1993-07-01' as datetime) and 
        DATEADD(mm, 3, CAST('1993-07-01' as datetime)) then qty else 0 end) as [Qtr3],
    SUM(case when ord_date between CAST('1993-10-01' as datetime) and 
        DATEADD(mm, 3, CAST('1993-10-01' as datetime)) then qty else 0 end) as [Qtr4]
    from ( select  stor_name, stor_id, ord_date, qty, totalqty
                from arg1) as D        --派生表
    group by stor_id                --以stor_id分组
)
select * from arg2

注意：
SUM(a.qty) over(partition by t.stor_name) 可以进行分区统计，并且性能进行了优化。

另外注意coalesce的用法，虽然这里没有用到，但是十分实用，
coalesce(a.qty, 0) 表示(接合)，如果a.qty返回null时，则使用默认传0