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8.3 An inexperienced database designer suggested the following schema for one of the tables in the antique store database: Sales Item_ID | Description | Price | Date | Customer_Name | Addr | City | St | ZIP | Phone
Is this schema in 1NF yes Is this schema in 2NF No, aside from attributes Description and Price, none of the attributes of the Sales table is functionally dependent on the key Item_ID. Is this schema in 3NF No, several transitive dependencies exist; for instance, Addr, City, St, ZIP, and Phone are dependent upon Customer_Name. If the answer to any of these questions is, No, redesign the table so that the result is in 3NF. Sales Item_ID | Description | Price | Date | Customer_Name
Customer Customer_ID | Customer_Name | Addr | City | St | ZIP | Phone
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8.4 Two of the tables in the antique store database will be a table of Deliveries, and a table of Delivery_Services. Here are the schemas for the two tables: Deliveries Date/Time | Customer_ID | Delivery_Service | Cost | Invoice_No | Driver Delivery_Services Name | Phone | Addr | City | St | ZIP | Contact Write the SQL code to create these tables. Specify which columns may not be NULL, and specify primary and foreign key constraints. Note that the Delivery_Service column in the Deliveries table is meant to have the same meaning as the Name column in the Delivery_Service table. CREATE TABLE DELIVERIES ( DATETIME TIMESTAMP NOT NULL, CUSTOMER_ID INT NOT NULL, DELIVERY_SERVICE VARCHAR(20) NOT NULL, COST NUMERIC(8,2), NOT NULL INVOICE_NO CHAR(8) NOT NULL, DRIVER VARCHAR(20), PRIMARY KEY(DATETIME, CUSTOMER_ID), FOREIGN KEY(DELIVERY_SERVICE) REFERENCES DELIVERY_SERVICES(NAME) ); CREATE TABLE DELIVERY_SERVICES( NAME VARCHAR(20) NOT PHONE CHAR(12) NOT ADDR VARCHAR(30) NOT ST CHAR(2) NOT ZIP CHAR(5) NOT CONTACT VARCHAR(20), PRIMARY KEY(NAME) );
NULL, NULL, NULL, NULL, NULL,
8.5 Here are the schemas for a few more of the tables in one implementation of the antique store database: Item Item_ID | Type | Description | Cost | Consignment_Seller_ID | Price_Sold
Sale Invoice_No | Customer_ID | Date
Line Item Invocie_No | Item_ID | Unit_Price | Quantity | Line_Item_Price
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Consignment_Seller Seller_ID | Name | Addr | City | State | ZIP | Free_Precent Write SQL queries to report the following information: a Report all of the consignment sellers located in NY, and list them in order by their consignment fee percentages. SELECT name, fee_percent FROM CONSIGNMENT_SELLER WHERE state = 'NY' ORDER BY fee_percent; b Find all of the items in the store that are on consignment from Parker Smith . Report only the items for sale (Price_Sold is NULL). SELECT item_id, description FROM ( ITEM JOIN CONSIGNMENT_SELLER ON Consignment_Seller_ID = Seller_ID) WHERE name = 'Parker Smith' AND Price_Sold IS NULL; In all of these examples, the specific syntax may vary by database product. Here is the proper syntax for Microsoft Access: SELECT item_id, description FROM Item INNER JOIN CONSIGNMENT_SELLER ON Item.Consignment_Seller_ID = Consignment_Seller.Seller_ID WHERE name = 'Parker Smith' AND Price_Sold IS NULL; c Report the total of all sales during last March. SELECT SUM (Line_Item_Price) FROM (Sale JOIN Line_Item ON Invoice_No) WHERE Date LIKE '%2007-03%'; In Access: SELECT Sum (Line_item.line_item_price) FROM Sale INNER JOIN Line_item ON Sale.Invoice_no = Line_item.Invoice_No WHERE Sale.date Like "*3/*2007*"; d Find all the items on consignment from Parker Smith that sold this month. SELECT item_id FROM (Sale JOIN Line_Item ON Invoice_No) WHERE Date LIKE '%2007-11%' AND item_id IN (SELECT item_id FROM ( Item JOIN Consignment_seller ON Consignment_Seller_ID = Seller_ID) WHERE name = 'Parker Smith' AND Price_Sold IS NOT NULL);
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In Access: SELECT item_id FROM Sale INNER JOIN Line_Item ON Sale.Invoice_No = Line_Item.Invoice_No WHERE Date LIKE '*11*2007' AND Line_item.item_id IN (SELECT Item.item_id FROM Item INNER JOIN Consignment_Seller ON Item.Consignment_Seller_ID = Consignment_Seller.Seller_ID WHERE name = 'Parker Smith' AND Price_Sold IS NOT NULL); e Report the amount due to Parker Smith for all sales of his items this month. SELECT SUM (Line_Item_Price * fee_percent) as Smith_comission FROM ( ( ( Sale JOIN Line_Item ON Invoice_No ) JOIN Item ON Item_ID ) JOIN Consignment_Seller ON Consignment_Seller_ID = Seller_ID ) WHERE name = 'Parker Smith' AND Date LIKE '%2007-11%'; In Access: SELECT SUM(Line_Item.Line_Item_Price * Consignment_Seller.fee_percent) AS Smith_comission FROM ((Sale INNER JOIN Line_Item ON Sale.Invoice_No = Line_item.Invoice_No) INNER JOIN Item ON Item.Item_ID = Line_Item.Item_Id) INNER JOIN Consignment_Seller ON Consignment_Seller.Seller_ID = Item.Consignment_Seller_ID WHERE Consignment_Seller.name = 'Parker Smith' AND Sale.Date LIKE '*11*2007*'; f Report all sales of items not on consignment (Consignment_Seller_ID is NULL) this month. SELECT Item_ID FROM ( ( Sale JOIN Line_Item ON Invoice_No JOIN Item ON Item_ID ) WHERE Consignment_Seller_ID IS NULL AND Price_sold IS NOT NULL AND Date LIKE '%2007-11%'; In Access: SELECT Line_item.Item_ID FROM (Sale INNER JOIN Line_Item ON Sale.Invoice_No = Line_Item.Invoice_No) INNER JOIN Item ON Line_Item.Item_Id = Item.Item_ID WHERE Item.Consignment_Seller_ID Is Null )
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