create table Product_Price
(
id int,
dt date,
SellerName varchar(20),
Product varchar(10),
ShippingTime varchar(20),
Price money
)
insert into Product_Price values (1, '2012-01-16','Sears','AA','2 days',32)
insert into Product_Price values (2, '2012-01-16','Amazon', 'AA','4 days', 40)
insert into Product_Price values (3, '2012-01-16','eBay','AA','1 days', 27)
insert into Product_Price values (4, '2012-01-16','Walmart','AA','Same day', 28)
insert into Product_Price values (5, '2012-01-16','Target', 'AA','3-4 days', 29)
insert into Product_Price values (6, '2012-01-16','Flipcart','AA',NULL, 30)
select *
from
(select dt, product, SellerName, sum(price) as price
from product_price group by dt, product, SellerName) t1
pivot (sum(price) for SellerName in ([amazon],[ebay]))as bob
)
I want 2 more columns in output (One is AmazonShippinTime
another is eBayshippintime
). How can I get these? Fiddle : http://sqlfiddle.com/#!3/2210d/1
Since you need to pivot on two columns and use different aggregates on both columns, I would use aggregate functions with a CASE expression to get the result:
select
dt,
product,
sum(case when SellerName = 'amazon' then price else 0 end) AmazonPrice,
max(case when SellerName = 'amazon' then ShippingTime end) AmazonShippingTime,
sum(case when SellerName = 'ebay' then price else 0 end) ebayPrice,
max(case when SellerName = 'ebay' then ShippingTime end) ebayShippingTime
from product_price
group by dt, product;
See SQL Fiddle with Demo . This gives a result:
| DT | PRODUCT | AMAZONPRICE | AMAZONSHIPPINGTIME | EBAYPRICE | EBAYSHIPPINGTIME |
|------------|---------|-------------|--------------------|-----------|------------------|
| 2012-01-16 | AA | 40 | 4 days | 27 | 1 days |
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