on June 22, 2011 by in Specialist skills, Comments (0)

Essentials of SQL: Exercises

Authors: Georgina Moulton (georgina.moulton@manchester.ac.uk) and Lucy Bridges (lucy.bridges@manchester.ac.uk)

Queries modified from various internet resources including SQLZoo.net

Use the schema below for the AdventureWorksLT database to complete the exercises.

SQL Adventure Works LT Schema

Remember at each stage to comment your query and save it.

Exercise 1

You should have the AdventureWorksLT database schema.  From the information provided can you identify what is a primary key, a foreign key and the type of relationship between the tables.

Exercise 2

Scenario:

AdventureWorks management is attempting to learn more about their customers and they would like to contact each one by email and/or phone to see whether they would complete a survey.  You have been asked to produce a list of customers.

The main tasks in this exercise are:

Identify which table contains the information you require

Check what fields the table holds

Generate a table by using the SELECT statement with the FROM clause.

Exercise 3

Scenario

The marketing department needs a list of the top 15 most expensive items ordered by product number, which includes the fields: product number, list price and product name.

Task 1: Use the ORDER BY clause to format a result set

Identify the correct table in the database that contains the information you need.

Write a SELECT statement that includes, product name, list price and product number.

Sort the row by the list price in descending order column.

Execute the query and browse the result set.

Task 2: Use the ORDER BY and the DESC keyword to sort the list price

Add to the SELECT statement in Task 1, sort by product number in ascending order.

Look at the new result set.

Task 3: Add the TOP statement to get the most expensive items

Add the TOP statement to get the 15 most expensive items.

What is the most expensive item?  What is the 15th most expensive item?

 

 

Exercise 4

Scenario

The marketing department (again!) want a distinct list of customers for their campaign.  In their list they need the their full name and the company they are affiliated to.

Task 1: Identify the table

Task 2: Write the SELECT statement that retrieves the correct fields for marketing

Task 3: Make sure the list is a distinct list of customers

 

Exercise 5a

Scenerio

We wish to contact the company ‘Bike World’ via email.  Get the name and email address for this company.  Retrieve this details from the correct table using a SELECT statement and the WHERE clause.

Exercise 5b

Scenario

Select all customer names that have SalesPersons jillian or jose.

 

Exercise 6

Scenario

The marketing department is conducting an audit of catalog inventory of socks and tights.  In order to increase sales for these products, they have determined that most a willing to spend between £7.00 and £100.00 for these items.  They also think that the most popular sizes bought are M and L.  They have requested a list of all items the company carries within these parameters.

Task 1: Using a Comparison operator

Identify the table that holds the information you want to retrieve.

Generate a table using the SELECT statement using a comparison operator so that the ListPrice must be lower than £100.

Look at your results. How many data entries do you retrieve?

Task 2: Using the AND and LIKE operators

Building on the query in task 1, add that the Product Name column contains the string ‘Sock’.

Look at the results. How many data entries do you retrieve?

Task 3: Using the OR operator

Change the query from Task 2 so that you include rows with the Tights as well as Socks in the Name Column.

Execute the query and look at the results.  Browse the result set and note the additional rows for tights.

Task 4: Using more comparison operators!

Change the query to select rows to display all socks that are now between list prices £7.00 and £100.00.

Browse the results and note the number of rows that have changed and the column data that matches the new search conditions.

Task 5: Adding a condition that limits ‘tights’ to M and L

Add a search condition that limits the tights to sizes ‘M’ and ‘L’.

Execute the query and see how the results have changed. How have they changed?

Exercise 7

Scenario

The Finance department are investigating again, especially the postal charges that are directly related to weight and size of the product.  They would like a list of all products so they can make corrections in the system.

The main task for this exercise are as follows:

  • Generate a table using the SELECT statement with the NULL function
  • Generate a table using the SELECT statement with the IS NULL function
  • Generate a table using the SELECT statement with the ISNULL function to rename values
  • Use the CASE statement to rename values for different items
  • Generate a table using the SELECT statement with the ISNULL function and the COALESCE and CONVERT functions

Task 1: Using the NULL function

Write a query that retrieves rows from the product table that includes, product number, name, size and weight. Use the = operator to check the Size and Weight for a NULL value.

Browse the result set and note the total number of rows.  How many are there?

Task 2: Using the IS NULL function

Change the statement to IS NULL to select rows with a value of NULL in either the Size or Weight columns.

Task 3: Using the ISNULL function to rename values

In a new query window, enter and execute a SELECT statement that:

Access the product table

Displays the Product Number, Name, Size and Weight columns

Use the ISNULL() function to display ‘NA’ when a NULL value is encountered in the Size column

Browse the result and note the additional column and values

Also make a note of the column headings

Task 4 Using the CASE statement to substitute size and weight values for products

If the size value is null then substitute the value with NA.

Using the CASE statement, substitute the weights with specific values. If the weight is equal to null then introduce the following weights for these items:

Helmet                         4.00

Fork                             10.00

Socks                            1.00

Jersey                          2.00

Any other item           2.00

Task 5: Generate a table using the SELECT statement with the ISNULL function and the COALESCE and CONVERT functions

 

Rewrite the statement from task 3 using the COALESCE function to create a new column named Measurement so that:

If the Weight column has a value it is shown in the Measurement column

If the Weight column is NULL, but the Size column is not NULL, display the value in the Measurement column

If both columns have NULL values display ‘NA’

Exercise 8

Scenario

The products team are updating the system and need to make sure the sell start date, and discontinued date are in the system for all products that have a defined sell end date.  If there is no discontinued date then they are going to insert the date that is 10 years ahead of today’s date.  In addition, they also want to know the number of days that have elapsed since the sell end date and today.  They have passed the job over to you!  Create a table with headers that matches the requirements defined by the products team.

Exercise 9

Scenario

The Finance department want to know what is the total number of sales (in pounds) they have made each year. Write the SELECT Statement:

Task 1: Identify table for information required

 

Task 2: Identify a function that will allow you to retrieve the Year from the OrderDate

 

Task 3: Use the SUM function to add the TotalDue

 

Task 4: Order by and group by Year

 

Exercise 10

Scenario

You have been asked by the sales department to provide the average price for each product category.

Exercise 11

Scenario

Give the CompanyName of those customers with orders over £100000. Include the subtotal plus tax plus freight.  This query requires a join statement.

Task 1: Identify tables you need to get required information

Task 2: Identify common fields that link the tables together

Task 3: Write SELECT statement that mirrors the tasks above with the joins being in the FROM statement

 

Task 4: Add WHERE statement to make sure orders are over £100000.

Task 5: Group results by Company Name.

Exercise 12

Scenario

Where did the racing socks go? List the product name and the CompanyName for

— all Customers who ordered ProductModel ‘Racing Socks’.

Task 1: Identify tables you need to get required information

Task 2: Work out the common fields that link the tables together

Task 3: Write the SELECT statement that joins the tables together using the common fields

Task 4: Add a WHERE statement to restrict the query to Racing Socks.

Exercise 13

Scenario

Can you show the CompanyName for all customers with an address in City ‘Dallas’?

Exercise 14

Scenario

We have been asked by the Products team for some information about every product and its description for those that have a culture originating in English (En).  This information is required so that they know what is coming from England.  They are not really interested at this stage about other cultures, but they could be in future requests.

Task 1:  Identification of tables for information

As usual, identify the tables that are required for the product information.

Task 2: Identify common fields in tables to link them together

Identify the common fields in the tables identified in task 1 that link them together.

Write the query that joins them together and selects the product identifier, culture, product description, product model name

Task 3 :Filtering for the ‘en’ culture

Adding to the query in task 2, retrieve only products that come from an English (en) culture.

Exercise 15

Scenario

We have been asked by the AdventureWorks Finance Department to find out the total amount due from two customers Walter Brian and Walter Mays on all orders they have placed.  It is worth noting each time a customer places an order they are treated as a new customer, so they get a separate record.

Task 1: Investigating the Customer table for customers who have first name Walter

Using a simple SELECT statement retrieve all customers who have first name Walter.  What do you notice?  How many people have the first name?

Task 2: Grouping the customer records

Change the query from task 1 so that you group the records according to their last name.

Task 3: Identify table that you need to get the TotalDue information and join tables

Having identified the table you need to get the TotalDue information from, identify the common field that links that and the Customer table together.

Using the query from task 2, add the join statement that joins the two tables together

Task 4: Adding the TotalDue information using the SUM function

For each customer sales order, there is a total due, thus we need to add the total due figures together to produce one figure for the finance department.

Introduce in the SELECT statement a clause that adds the total due figures together and displays this figure.

Exercise 16

Scenario

The AdventureWorks team have been rung up by a customer ‘Mary’ and have jotted down a message that she would like a catalogue.  Unfortunately, the customer’s last name was not recorded, thus they do not know where to send the catalogue!  We have been asked to produce a list of all customers and their addresses with first name Mary. They need the information that will allow them to send a catalogue; for example, title, full name, company name and full address, including postal code etc. in alphabetical order for the last name.

Task 1:Investigating the tables to use

Identify the tables that contain the customer and address information for the mailing labels.

Conduct a query that will allow you to see all contents of each of the tables.

Task 2: Identifying customers that have first name ‘Mary’ and order according to last name

Using the Customer table, identify all customers that have first name ‘Mary’

Restrict the query to the information you require for mailing labels and make sure they are alphabetically ordered by last name.

Task 3: Retrieving the customer addresses

Look at how the address and customer tables can be linked together (hint: it may require the link of another table – remember you are looking for common fields).

Identify the fields that you require for the mailing list and note which table they come from.

Using the query from task 2, change it so, it can include the address fields.

Hint: this will require joining tables together!

Use aliases when possible to refer to the tables as it makes the query easier to read.

Task 4: Format the result by concatenating strings and assign column new names

Using the query above, concatenate the name together for one column called ‘Customer Name’and a column for each of the following information:

Address line 1

Address line 2

City, State Province, Postal Code as AddressLine3

CountryRegion

Task 5: Alter the query and use the SUBSTRING function

Instead of displaying the first name in full as Mary, we now just want to display the first name as initial.  Using the query form the previous task, modify it by using the substring function, to just pick out the initial M for Mary.

Exercise 17

Scenario

AdventureWorks have asked you to find all products with a minimum standard cost (that is equal to the product standard cost) for products in colours Blue, Yellow and Black.  This exercise is about writing subqueries, so we will write the query in two sections.

Part 1:  Inner query

Write a SELECT statement that retrieves the minimum standard cost for products grouped in colour as Blue, Yellow and Black.  Make sure the standard cost is above 0.0.

Part 2: Outer query

Write a SELECT statement that retrieves the product name, list price, colour from the product table and minimum standard cost (which will come from the inner query of part 1).

Now add an inner join statement that has the part 1 query as the table as the first part of the expression. Make sure this is in brackets. Give this statement and alias, such as msc.

For the ON part of the join statement, make sure the colour from the inner query is the same as the colour from the outer query AND the minimum standard cost of the msc table, is the same as the standard cost of the product.

Exercise 18

Scenario

For each product category in each colour, the products department want to know how many products come in each colour and the average list price.  Again this is a subquery exercise that includes both joins, group by and aggregate functions.

Part 1: Inner query 1 – (Derived table col)

Write a SELECT statement that retrieves the product category identifier, colour count and average list price for each product category identifier and colour from the SalesLT.Product table.  Also in your statement, make sure that if the colour is not recorded than substitute with ‘N/A’.

Part 2: Outer query

In this outer query we are to join the product category table onto the derived table col using an inner join on product category identifiers.

Write a SELECT statement that retrieves the product category name, colour, colour count and average list price.  In the FROM statement insert inner query 1 in brackets and make sure you give it the alias as col.

Now do an inner join linking to the product category table, on the fields product category identifier.

Order the results by product category name and colour.

Hard Exercise 19

Scenario

How many products in ProductCategory ‘Cranksets’ have been sold to an address in ‘London’?

 

Hard Exercise 20

Use the SubTotal value in SaleOrderHeader to list orders from the largest to the smallest. For each order show the CompanyName and the SubTotal and the total weight of the order.

Optional Exercises

Can you answer the following question?

How many items with ListPrice more than $1000 have been sold?

A “Single Item Order” is a customer order where only one item is ordered.  Show the SalesOrderID and the UnitPrice for every Single Item Order.

Answers

The answers to the exercises can be be found in the document SQL Exercise Answers . Do try to work them out for yourself before looking at them. However, if you are having difficulty it can be useful to work backwards from the answer.

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