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...Solutions Possible for Hw3 ** See the clarification for e and g a. List the Order# and Ship_date for all orders shipped from Warehouse# "W2". select Order#, Ship_date from Shipment where Warehouse# = 'W2' b. List the Warehouse information from which the Customer named "Jose Lopez" was supplied his orders. Produce a listing of Order#, Warehouse#. select Order.Order#, Shipment.Warehouse# from Customer, Shipment, Order where Order.Order# = Shipment.Order# and Customer.Cust# = Order.Cust# and Customer.Cname...
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Solutions Possible for Hw3 ** See the clarification for e and g a. List the Order# and Ship_date for all orders shipped from Warehouse# "W2". select Order#, Ship_date from Shipment where Warehouse# = 'W2' b. List the Warehouse information from which the Customer named "Jose Lopez" was supplied his orders. Produce a listing of Order#, Warehouse#. select Order.Order#, Shipment.Warehouse# from Customer, Shipment, Order where Order.Order# = Shipment.Order# and Customer.Cust# = Order.Cust# and Customer.Cname = 'Jose Lopez' c. Produce a listing: Cname, #ofOrders, Avg_Order_Amt, where the middle column is the total number of orders by the customer and the last column is the average order amount for that customer. (Use aggregate functions -- Figure 2.29 on page 64 (5th ed) is a good example for incorporating multiple aggregate functions on different attributes but using the same attribute to group results)) select Cname, count(*) as #ofOrders, avg(Ord_Amt) as Avg_Order_Amt from Customer, Order where Customer.Cust# = Order.Cust# group by Cname d. List the Order# for orders that were shipped from warehouses in New York. select Shipment.Order# from Shipment, Warehouse where Shipment.Warehouse# = Warehouse.Warehouse# and Warehouse.City = "New York" e. Delete all orders for customer named "Jose Lopez" Note: the order is important; delete from Order last. Delete from Order_Item where Order# in (select Order.Order# from Customer, Order where Customer.Cname = "Jose Lopez" and Customer.Cust# = Order.Cust#) Delete from Shipment where in Order# (select Order.Order# from Customer, Order where Customer.Cname = "Jose Lopez" and Customer.Cust# = Order.Cust#) Delete from Order where Order# in (select Order.Order# from Customer, Order where Customer.Cname = "Jose Lopez" and Customer.Cust# = Order.Cust#) f. Move the shipping date by a week for all those orders originating from warehouses in Baltimore. update Shipment set Ship_date = Ship_date + 7 where Shipment.Warehouse# in (select Warehouse.Warehouse# from Warehouse where City = "Baltimore") g. List all items that have a price greater than the average price. select Item# from Item where Unit_Price > all (select avg(Unti_Price) as Unit_Price from Item) Note: we are using > all construct here and the word "all" is needed and not optional, even though the subquery results in a single value relation. h. Find out the maximum number of orders shipped out of warehouses in Baltimore. select max(Num_Orders) from (Select Warehouse#, count(#Orders) from Shipment as S, Warehouse as W where S.Warehouse# = W.Warehouse# and W.City = "Baltimore" group by Warehouse#) as WOrders (Warehouse#, Num_Orders) i. Find the item with the maximum unit price. Select Item# from Item where Unit_Price in (select max(Unit_Price) as Unit_Price from Item) j. List all customer names whose orders were shipped from a warehouse in the same city as they live in. Select Cname from Customer as C, Order as O, Shipment as S, Warehouse as W where C.Cust# = O.Cust# and O.Order# = S.Order# and S.warehouse# = W.warehouse# and C.City = W.City
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UMBC >> CMSC >> 461 (Spring, 2008)
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UMBC >> CMSC >> 461 (Spring, 2008)
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UMBC >> CMSC >> 691 (Summer, 1998)
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UMBC >> CMSC >> 691 (Summer, 1998)
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UMBC >> CMSC >> 691 (Summer, 1998)
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Department of Computer Science Southern Illinois University Carbondale, Carbondale, IL 62901, USA E-mail: kemal@cs.siu.edu *Corresponding author Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Balti...
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