Cape Codd Database Table Structure: (Tables & Fields) Catalog_SKU_2016 Catalog_SKU_2017 CatalogID (PK, int, not null) SKU (int, not null) SKU_Description (char(35), not null) Department (char(30), not null) CatalogPage (int, null) DateOn Web Site (date, null) CatalogID (PK, int, not null) SKU (int, not null) SKU_Description (char(35), not null) Department (char(30), not null) CatalogPage (int, null) DateOnWebSite (date, null) Catalog_SKU_2018 CatalogID (PK, int, not null) SKU (int, not null) SKU_Description (char(35), not null) Department (char(30), not null) CatalogPage (int, null) DateOnWebSite (date, null) ORDER_ITEM RETAIL_ORDER INVENTORY WarehouseID (PK, FK, int, not null) ? SKU FK, int, not null) SKU_Description (char(35), not null) QuantityOnHand (int, null) QuantityOnOrder (int, null) OrderNumber (PK, FK, int, not null) SKU (PK, FK, int, not null) Quantity (int, not null) Price (money, not null) ExtendedPrice (money, not null) ? OrderNumber (PK, int, not null) StoreNumber (int, null) Store Zip (char(9), null) Order Month (char(12), not null) OrderYear (int, not null) OrderTotal (money, null) SKU_DATA WAREHOUSE ? SKU (PK, int, not null) SKU_Description (char(35), not null) Department (char(30), not null) Buyer (char(35), null) WarehouseID (PK, int, not null) WarehouseCity (char(30), not null) WarehouseState (char(2), not null) Manager (char(35), null) Square Feet (int, null) Pirate Toy Store Tables (Tables & Fields) CUSTOMER INVOICE INVOICE_ITEM CustomerID (PK, int, not null) FirstName (char(25), not null) LastName (char(25), not null) Phone (char(12), not null) Email (char(100), null) InvoiceNumber (PK, int, not null) CustomerNumber (FK, int, not null) SaleDate (datetime, not null) TotalAmount (numeric(8,2), null) InvoiceNumber (PK, FK, int, not null) Item Number (PK, int, not null) Item (char(50), not null) Quantity (int, not null) UnitPrice (numeric(8,2), null) 6. Write an SQL statement to display the Order Number and the sum of Extendederice, grouped and sorted by Order Number: Name the sum of ExtendedPrice as TotalOrdered, 1 2 3 Order Number TotalOrdered 1000 430.00 2000 300.00 3000 450.00