CITS1402 Project

CITS1402 Project
Gordon Royle
2020 Semester Two
So far in this unit, the labs have been focussed on writing SQL queries learning how the SQL \row-
processing-machine” can be used to select, manipulate and summarise data contained in multiple rela-
tional tables.
This project, really a mini-project, is going to focus on some of the other aspects of databases.
A database designer builds the database schema and possibly enters the initial data, but over time the
data evolves as rows are inserted, updated and deleted during the day-to-day use of the database. An
important role of the database designer is to make the database resistant to data corruption caused by
careless users.
This project explores some of the steps that a database designer can take to enhance the long-term
integrity of the database.
The questions may require you to undertake your own research into how certain SQLite features are
implemented. The ocial documentation is located at https://www.sqlite.org/docs.html/index.
html, and there are numerous SQLite tutorial sites with examples.
Project Rules
For the duration of the project, di erent (stricter) rules apply for obtaining help from the facilitators
and help1402 for the duration of the project.
1. Absolutely no \pre-marking” requests
Do not show your code to a facilitator and say \Is this right?”
Firstly, this is not fair to the facilitator, who is there to provide general assistance about SQL
and not to judge whether code meets the speci cations.
Secondly, from previous experience, such requests often degenerate into the situation where
the facilitator \helps out” with the rst line of code, then the student returns ve minutes
later and asks for help with the second line of code, and so on, until the nal query is mostly
written line-by-line by the facilitator and not the student.
Facilitators are there to gently nudge you in the right direction, not by just \giving the answer”
and supplying code that works, but by making general suggestions on SQL features, reminders
about what concepts might be useful, and advice on how you might investigate and resolve
problems yourself.
2. No validation requests for your submission
Please do not ask the facilitators anything about the mechanics of making a valid submission
such as le names, due dates etc. This is not their job and it leads to awkward situations where
a student submits something that is obviously incorrect, but then claims that \the facilitator
said it was ok”.
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You are responsible for writing, testing, formatting and submitting your code correctly, and if
you have any doubts about what is required, then please ask on help1402.
3. Avoid low-quality help1402 posts
Before the mid-semester test, there was a huge spike of activity on help1402. While I encourage
thoughtful questions and try to answer them promptly, the sheer volume of questions almost
overwhelmed me.
Even without help1402, this unit is already consuming far more time than I am meant to
spend on it, so I have to cut back. A lot of my time earlier in semester was spent dealing with
repeated or low-quality questions, so I’d like to eliminate (or at least reduce) these. Ideally
help1402 should be a lower-volume but higher-quality forum.
So before you post, please ensure that:
• Your question is actually new
Don’t ask a question that has already been answered in another thread. You can either
monitor help1402 daily so you always know what has been discussed, or use the search
facility.
• You actually need external help
Quite a few posts have asked for con rmation that the output of a SQL query is \correct”,
even though it would be straightforward for the user to check this themselves.
Given access to an actual database, you should normally be able to tell how many rows of
output there should be by using SQLiteStudio to examine the data directly or manually
running a few simpler queries.
So just make sure that you have made reasonable e orts to test your query yourself before
posting to help1402
• Your question is precise
Please don’t post vague or overly general requests for assistance such as: \I tried using
<random SQL> but it didn’t work. Any help”.
All coding starts by forming a logical plan for extracting the required information from
the database. Of course you have to keep the general overall structure of an SQL query
in mind in terms of the sorts of things that SQL can and cannot do, but try to get a clear
idea of what you want to do before you start actually coding it.
While forming the plan, you may notice that you need a table or a value that is not
actually stored in the existing tables, but needs to be computed. This is when you think
about how you can use subqueries to create the table or compute the value.
When it is time to implement your plan in SQL, remember that very few people can
just sit down and code an entire complicated SQL query from rst line to last line, partly
because the order in which the keywords occur is not the order in which the actual steps of
the row-processing are conducted. So write and test small portions of the code separately
and then put them together. For example, if counting parking tickets for black and white
cars has to be done for every state, then rst write the query for just one state and one
of black options, and then gradually extend it.
Finally, remember that you are in control | you are the coder and the machine is doing
exactly what you tell it to do. If you accidentally tell it to do the wrong thing, then work
out why it is doing the wrong thing (by mentally going through the process) and change
it.
While coding certainly requires experimentation and testing, it should be a systematic
process. In other words, just randomly changing one SQL keyword to another or shuing
around the lines of code is not an e ective method of coding.
• Your question includes no (or minimal) actual code
As usual, don’t post actual code to help1402, instead giving just a verbal description or
posting a redacted screenshot (i.e., with key parts blurred or otherwise obscured).
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(Actually, almost everyone is already doing the right thing with obscuring their posted
code, so this is just a reminder to keep doing it properly rather than a change in policy.)
Dodgey Brothers Auto Rentals
Wayne and Arthur Dodgey run a car rental business called Dodgey Brothers Auto Rentals and
want a database to keep a record of their cars, customers and rentals.
They have implemented a SQLite database themselves that is adequate, but after a few months use they
have noticed some problems. Some data is clearly incorrect, while the data in some tables is inconsistent
with the data in others.
You are given the schema of the current database and discuss the requirements with Wayne and Arthur.
The database has four tables, namely Car, Vehicle, rental and Customer which have the following
structure:
The table Car has data for types of car
The table stores data about types of car (not individual vehicles).
CREATE TABLE Car (carMake TEXT,
carModel TEXT,
carYear INTEGER,
dailyCost INTEGER,
kmCost REAL )
A typical row in this table would be something like:
( Hyundai , i30 ,2020,30,0.10)
The rst three elds describe a type of car, in this case a 2020 Hyundai i30, and the last two elds
indicate that Dodgey Brothers Auto Rentals rents a car of this type for $30 per day plus $0.10
per km.
Wayne and Arthur indicate that the combination of make, model and year uniquely determines a car
type, and that the daily and per-km costs depend only on this car type.
If a customer rents a 2020 Hyundai i30 for 3 days and drives 200km, then the cost of this rental will be
3  30 + 200  0:10 = 110:
Wayne and Arthur may not have actual vehicles of every type listed in Car.
The table Vehicle has data for actual vehicles
This table stores data about the individual vehicles in the Dodgey Brothers Auto Rentals eet.
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CREATE TABLE Vehicle (carMake TEXT,
carModel TEXT,
carYear INTEGER,
VIN TEXT,
odometer INTEGER)
A typical row in this table would be something like
( Hyundai , i30 ,2020, WDCGG5GB8AF429863 , 15199)
The elds carMake, carMode and carYear have the same meaning as in Car while VIN is the car’s Vehicle
Identi cation Number which is a unique code stamped onto a metal plate and riveted to the car’s frame
by its manufacturer. The code is a 17-digit string containing letters and numbers in a format similar to
the example above. Dodgey Brothers Auto Rentals may have several cars of the same type, but
it is impossible for two di erent vehicles to have the same VIN.
The odometer eld lists the number of kilometres on this vehicle’s odometer, so this particular vehicle
has been driven for a total of 15199 kilometres since it was new.
The table rental has data for each rental
This records the details for each individual rental of a vehicle.
CREATE TABLE rental (customerId INTEGER,
VIN TEXT,
odo_out INTEGER,
odo_back INTEGER,
date_out TEXT,
date_back TEXT)
A rental is made by a customer, identi ed by a unique customer ID. The customer rents a speci c vehicle
(identi ed by the VIN).
A new tuple is entered into the table rental at the time that the customer picks up the vehicle. The elds
odo_out and date_out record the odometer reading on the vehicle, and the date. The elds odo_back
and date_back are set to NULL (because these values will not be known until the car is returned.)
When the car is returned, an UPDATE statement completes the tuple by setting odo_back and date_back
to the actual odometer reading on the car and the actual date that the car is returned.
This rental is now completed and the rental cost can be calculated from the costs for that type of car,
the number of days in the rental (including both the start day and nish day of the rental), and number
of kilometres travelled (the value odo_back – odo_out).
Dates are given in the YYYY-MM-DD string format used by SQLite, and you may need to look at the
date and time functions supplied by SQLite, which are documented in https://www.sqlite.org/lang_
datefunc.html. I’d look closely at julianday() to start with.
At this stage, the rental desk clerk is meant to update the odometer eld in the tuple in the Vehicle
table for this particular car, but sometimes the clerk is busy, puts this o until later, and then forgets
to do it.
A vehicle can be entered into the database before it is rented to anyone, and obviously over its lifetime
a vehicle will be involved in many di erent rentals.
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You may assume without testing that the information about rentals is sensible. The test data will not
create rentals that end before they start, or that overlap with other rentals for the same car, and so you
do not need to check this.
The table Customer has data for each customer
This table records the details for each Dodgey Brothers Auto Rentals customer.
CREATE TABLE Customer (
id INTEGER,
name TEXT,
email TEXT);
Each customer has a unique id, and Dodgey Brothers Auto Rentals only keeps the name and
email address of their customers. An account can be created for a customer before they rent a car.
The tasks
As a database developer, you have been called in to improve the integrity of the database. You will not
be changing any of the column names or data types of the tables, but just adding database features to
improve the integrity and usability of the database.
You are asked to submit four les
ERD.png
DB.sql
DBTrigger.sql
DBView.sql
according to the following speci cations:
1. An entity-relationship diagram cssubmit ERD.png (5 marks)
The rst task is to get a visual representation of the database. This requires you to \reverse
engineer” the actual database to produce the corresponding entity-relationship diagram.
Do not invent additional entities or attributes in the ERD, but also remember that|in certain
situations|not all of the relations in the ERD will be represented as tables in the database. In
this situation, you will need to name a relationship in the ERD that is not present as a table in
the relational schema. Video 31 should clarify what is required.
You must use ERDPlus.com to prepare your ERD and then use the \Export Image” selection from
the \Menu” button at the top-left of a diagram to save it to a PNG le. The le will be saved
under some generic name like image.png, but you should rename it to ERD.png and submit it as
the rst le to cssubmit.
Include all of the relevant cardinality and participation constraints of the improved database ac-
cording to the speci cations above, using your real-world knowledge of how car rentals work for
anything not explicitly speci ed.
Once again, do not submit anything that is produced by a di erent ER diagramming tool, or
produced as a gure in Microsoft Word, or drawn in a drawing/painting program, or is hand-
drawn and photographed/scanned.
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(The reason for this is that there are literally hundreds of diagramming tools / conventions, and it
would be impossible for the markers to know them all.)
2. A database schema cssubmit DB.sql (2 + 2 + 2 = 6 marks as speci ed below)
You should prepare a le called DB.sql that creates an improved database. It should contain code
to create the four tables Car, Vehicle, rental and Customer, with exactly the same attributes
and data types as described above, but with additional features (as described below).
You should only include the DDL statements (the statements that create the tables, views and
triggers) but do not include any statements to insert data into the tables.
Of course, you should test your improved database by populating it your own synthetic (made-up)
sample data, and running various insert, update and delete commands, but do not include this in
your submission.
The additional features you should incorporate into DB.sql are:
(a) Key columns (2 marks)
The tables written by Wayne and Arthur Dodgey contain no information about keys, so noth-
ing prevents the accidental insertion of inconsistent data (for example, two di erent vehicles
with the same VIN).
Give improved CREATE TABLE statements for the tables Car, Vehicle and Customer, ensuring
that the uniqueness constraints speci ed above are enforced by the database.
(b) Referential integrity (2 marks)
One problem for Wayne and Arthur is that the desk clerk often enters a new tuple into rental
in a hurry, and mistypes either the VIN or the customerId. If the VIN is incorrect, then it
is impossible to calculate the cost of a rental, and if the customerId is incorrect, then it is
impossible to know which customer to charge, so this is a major problem.
Give an improved CREATE TABLE rental statement to incorporate referential integrity con-
straints ensuring that the VIN and customerId refer to actual vehicles and customers in the
Vehicle and Customer tables.
Wayne and Arthur tell you that a customer is never deleted from the table, but occasionally a
customerId might change (via an UPDATE statement). If this happens, then the tuples in the
rental table for this customer’s previous rentals should automatically be altered to re ect
this change.
For vehicles, Wayne and Arthur tell you that the VIN for a vehicle can never change, and a
vehicle is never deleted from the database.
(c) Data entry validation (2 marks)
A vehicle’s VIN is very important for any and all paperwork, such as lease agreements, insur-
ance details, servicing schedule etc.
However it is easy to mistype a long sequence of characters, and so we’d like to add some validation to ensure
that anything entered into this eld at least has the right format to be a VIN.
• A VIN is a string of exactly 17 characters
• Each character in a VIN is a digit or an uppercase letter
• A VIN can contain any of the digits 0 to 9
• A VIN can contain any uppercase letter except I, O and Q
• The 9th character of a VIN is either a digit from 0 to 9 or the letter X.
(These are all true facts about a VIN, but in real VINs the 9th character acts a check digit and must satisfy
an equation involving the other 16 characters.)
The code needed to check a 17-digit VIN can be very cumbersome. So instead, we’ll use a
simplifed version of a VIN for this project, which is de ned as follows:
• A VIN is a string of exactly 5 characters
• Each character in a VIN is a digit or an uppercase letter
• A VIN can contain any of the digits 0 to 9
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• A VIN can contain any uppercase letter except I, O and Q
• The 3rd character of a VIN is either a digit from 0 to 9 or the letter X.
SQLite implements SQL check constraints. A check constraint is a boolean expression asso-
ciated with a single column using the keyword CHECK. Every time the value in that column is
altered (or inserted) the system will check that the boolean expression is still true with the
new value.
For example, consider a table BankAccount for an account where the balance is never allowed
to drop below 0. This could be de ned with
CREATE TABLE BankAccount(
accountNumber INTEGER,
accountBalance REAL CHECK(accountBalance >= 0));
The system will then check the condition when any UPDATE statement is attempted, and pro-
hibit the operation if the changed value violates the condition.
Add a CHECK constraint to the table Vehicle to ensure that the VIN always meets the basic
requirements above. You may need to look up the documentation for CHECK on sqlite.org
to double-check the exact syntax.
This can be done in a naive way using string functions such as substr to extract characters
from the string that is meant to be a VIN, combined with operators such as IN and/or BETWEEN
to make sure they are allowable characters. Or it can be done in a more sophisticated way
using operators such as GLOB. If you choose to investigate GLOB then you will need to carefully
read the documentation and understand (or teach yourself) the basic principles underlying
pattern matching, UNIX wildcards and regular expressions). This is only recommended for
con dent students.
3. Triggers to improve data consistency cssubmit DBTrigger.sql (2 marks)
Wayne and Arthur constantly have problems keeping the odometer elds in Vehicle and rental
consistent.
As mentioned previously, when the customer rents a vehicle, a tuple is created in the rental table.
At this point, the clerk checks the actual vehicle’s odometer and enters this value into odo_out.
When the customer returns the vehicle, the clerk again checks the vehicle’s odometer, and enters
this value into the odo_back eld for this rental.
At this point, the clerk is also meant to update the odometer eld in the Vehicle table, so that
both Vehicle.odometer and rental.odo_back have the same value.
However, relying on the desk clerk to transfer values correctly when busy helping customers is not
realistic. You advise Wayne and Arthur that having the same data stored in two di erent places
is poor relational database design. Wayne and Arthur say that they are unwilling to change the
schema because too many other systems rely on it, and ask if you can work around this design aw
some other way.
You realise that this is an ideal situation for the use of triggers.
Write the code for two triggers on the table rental that maintains consistency between the two
odometer elds in the following manner:
• When the desk clerk inserts a new tuple into rental, he or she enters the actual values for
the VIN, customerId and date_out, but enters NULL for the other three values.
A trigger should intercept this operation, look up the odometer reading for this car in the
Vehicle table, and enter this value into the odo_out column for the newly-created tuple in
rental.
• When the desk clerk updates a tuple in rental (because the customer has returned the car)
he or she updates the date_back and odo_back elds with the current date and the actual
reading on the vehicle’s odometer.
A second trigger should intercept this operation and update the correct row of Vehicle with
the new odometer reading.
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This ensures that the desk clerk cannot accidentally enter an incorrect odo_out value at the start
of the rental, and cannot forget to update the odometer reading in Vehicle at the end of the rental.
4. A view to improve usability cssubmit DBView.sql (2 marks)
For tax purposes, customers often want a list of all of their rentals together with the cost of each
rental. The necessary SQL command to extract this information in the right format is a little
complicated and too easy for Wayne and Arthur to get wrong.
Write the SQL code that de nes a view name CustomerSummary that should behave as though it
were a table with each row containing just the essential information about a completed rental.
So the view should have the following schema:
CustomerSummary (
customerId INTEGER,
rental_date_out TEXT,
rental_date_back TEXT,
rental_cost REAL);
Write the code to create the view CustomerSummary with the speci cations as above.
Remember that you should not include incomplete rentals in this data; these can be identi ed by
the fact that the eld rental.date_back is NULL.
Wayne and Arthur Dodgey, also known as \The Dodgey Brothers” were characters on the Australian TV Comedy
Show \Australia You’re Standing In It” from the early 1990s.
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