Add chapter 2 and 4 labs for 2436 and database prog, respectively

labs/database-programming/lab-2/instructions.md

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+# Lab 2
+
+*UPDATED: 12 Feb. Clarified scenario 6, 7 and 8.*
+
+This lab has you practice advanced queries against tables with aggregates, grouping and subqueries.
+
+For each scenario:
+
+- Include the scenario #
+- The SQL query (properly formatted)
+
+*Note: DO NOT hard code any primary key IDs in your queries.*
+
+This lab uses the `WideWorldImporters` database.
+
+## Scenario 1
+
+Get the lowest (as `LowestTemperature`) and highest temperature (as `HighestTemperature`) recorded for the vehicle temperatures (`Warehouse.VehicleTemperatures`).
+
+Rows: 1
+
+## Scenario 2
+
+Gets the list of `SalesPersonPersonID` and their total sales order counts (as `TotalOrders`) from `Sales.Orders`.
+
+Order the results by the highest total orders.
+
+Rows: 10
+
+## Scenario 3
+
+Get the customer ID and total number of invoices (as `TotalInvoices`) from `Sales.Invoices` for the year 2015.
+
+Group the invoices by the customer ID.
+
+Order the results by the highest number of invoices descending followed by the customer ID.
+
+Rows: 657
+
+## Scenario 4
+
+Get the order ID and total price (as `TotalOrderPrice`) from `Sales.Orders` for the customer `Debbie Molina` for the year 2016.
+The total order price is the `Quantity` x `UnitPrice` of the order lines associated with the order.
+
+Order the results by the total price from highest to lowest.
+
+Rows: 10
+
+## Scenario 5
+
+Get the customer ID and total orders (as `TotalOrders`) from `Sales.Orders` for all customers who have at least 20 orders in 2016.
+
+Order the results by the total orders descending and then by customer ID.
+
+Rows: 87
+
+## Scenario 6
+
+Get the stock item ID, stock item name from and total quantity sold of the top 50 stock items sold (based upon quantity) of all time.
+
+Order the results by the total quantity descending.
+
+This will require two queries. The first query will get the stock items and the total quantity sold from the `OrderLines` table. For example if stock item 1
+is on 3 orders with a quantity of 1, 3 and 5 then the total quantity is 9.
+
+The second query will combine the stock item totals with the stock items from `Warehouse.StockItems` to get the top 50 items.
+
+*Note: This is using `OrdersLines` and not `InvoiceLines`.*
+
+*Note: This requires a subquery or CTE. A join by itself will not work.*
+
+Rows: 50
+
+## Scenario 7
+
+Get the customer ID, customer name and total orders for the top 10 customers who have the LEAST number of orders.
+
+Order the results by total orders and then by customer name.
+
+This will require two queries. The first query will get the customers and their total orders.
+
+The second query will combine the total order query with the remaining customer data to get the top 10.
+
+*Note: Some customers may have no orders so they should show up in the top 10, if they exist.*
+
+*Note: This will require either a subquery or a CTE.*
+
+Rows: 10
+
+## Scenario 8
+
+Get the delivery method ID and name from `Application.DeliveryMethods` that are not used in the `Sales.Customers` table.
+
+Order by the delivery method name.
+
+This will require two queries. The first query should get the delivery methods that are not being used.
+
+The second query should combine the unused methods with the remaining data needed to generate the desired results.
+
+*Note: This will require either a subquery or a CTE.*
+
+Rows: 9

labs/database-programming/lab-2/lab-2.sql

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+USE WideWorldImporters
+
+-- Scenario 1
+SELECT MIN(Temperature) AS LowestTemperature, MAX(Temperature) AS HighestTemperature
+FROM Warehouse.VehicleTemperatures
+
+-- Scenario 2
+SELECT SalesPersonPersonID, COUNT(*) AS TotalOrders
+FROM Sales.Orders
+GROUP BY SalesPersonPersonID
+ORDER BY TotalOrders
+
+-- Scenario 3
+SELECT CustomerID, SUM(InvoiceID) AS TotalInvoices
+FROM Sales.Invoices
+WHERE InvoiceDate BETWEEN '1/1/2015' AND '12/31/2015'
+GROUP BY CustomerID
+ORDER BY TotalInvoices, CustomerID
+
+-- Scenario 4
+SELECT od.OrderID, ol.Quantity * ol.UnitPrice AS TotalOrderPrice
+FROM Sales.Orders od
+    JOIN Sales.OrderLines ol ON ol.OrderID = od.OrderID
+    JOIN Sales.Customers cu ON od.CustomerID = cu.CustomerID
+WHERE cu.CustomerName = 'Debbie Molina' AND od.OrderDate BETWEEN '1/1/2016' AND '12/31/2016'
+ORDER BY TotalOrderPrice
+
+-- Scenario 5
+SELECT *
+FROM (SELECT CustomerID, COUNT(OrderID) AS TotalOrders
+    FROM Sales.Orders
+    WHERE OrderDate BETWEEN '1/1/2016' AND '12/31/2016'
+    GROUP BY CustomerID) Results
+WHERE TotalOrders >= 20
+ORDER BY TotalOrders DESC, CustomerID
+
+-- Scenario 6
+WITH
+    Results
+    AS
+    (
+        SELECT TOP 50
+            ol.StockItemID, SUM(Quantity) TotalQuantity
+        FROM Sales.OrderLines ol
+            JOIN Warehouse.StockItems si ON ol.StockItemID = si.StockItemID
+        GROUP BY ol.StockItemID
+        ORDER BY TotalQuantity DESC
+    )
+SELECT Results.StockItemID, StockItemName, TotalQuantity
+FROM Results JOIN Warehouse.StockItems ON WareHouse.Stockitems.StockItemID = Results.StockItemID
+ORDER BY TotalQuantity DESC
+
+-- Scenario 7
+WITH
+    Results
+    AS
+    (
+        SELECT cu.CustomerID, COUNT(OrderID) OrderCount
+        FROM Sales.Customers cu
+            LEFT JOIN Sales.Orders od ON cu.CustomerID = od.CustomerID
+        GROUP BY cu.CustomerID
+    )
+SELECT TOP 10
+    Results.CustomerID, CustomerName, OrderCount
+FROM Results
+    JOIN Sales.Customers ON Results.CustomerID = Sales.Customers.CustomerID
+
+-- Scenario 8
+SELECT DeliveryMethodID
+FROM Application.DeliveryMethods
+WHERE DeliveryMethodID NOT IN (SELECT DeliveryMethodID
+FROM Sales.Customers)
+ORDER BY DeliveryMethodName