Sql Code

13 Jun Sql Code

HIT 234 Assignment 1

Submission Details:

For Internal and External students: submission is via Learnline. Instructions on how to submit the assignment is located under Assessments / Guidelines.

Please answer all questions.

Part A – Single and multiple table queries

Value: 6%

For the first five questions you have to provide your answer in the form of a SQL statement, with description before as necessary. For example:

1. Example Question: Select all columns from the `Customer` table

Example Answer:

— This answer will select out all the columns from the Customer table

SELECT * from Customer;

Questions 1 – 5:

Worth 3% of the total marks

1. List in ascending order the Last Names of all borrowers with Card Number less than 150.

2. What are the records of those loans between 3 June 2014 and 8 Mar 2018?

◦ The output should include the name of the cardholder, and title of the book

◦ List in ascending order by last name and first name

3. Find the total numbers of loans with last name beginning with D through E (including E); include last name beginning with Q as well as Z also.

4. Find all borrowers for a loan that have the Date-in before 15-March-15 and the Card number between 100 and 300 in Karama or Darwin.

5. Find the number of loans, which have been made from each branch?

◦ Note all branches need to be included even those with no loans

Question 6:

Worth 3% of the total marks

6. Create your own question based on the library database, and also provide a SQL Statement to answer your question.

Part B – Table and Advanced Queries

Value: 4%

The questions are broken into: Q1 (4 marks), Q2 (3 marks), Q3 and Q4 (3 marks). For all questions, provide the answer in the form of a SQL statement, with description before as necessary.

Questions

 

NOTES

 

Questions 1 and 2 require you to answer in the form of a   SQL statement to create a table and insert data into it. The question and   answer is only about the statements to create and put data into the   `Occurrence_Exercise` table, however it is recommended that you create the   statements to create and insert data into all 3 tables, so that you can test   that your statements are correct. Please only provide in your answer the SQL   statement for the `Occurrence_Exercise` table.

 

To understand the terminology:

• A   rep is a number of times you do an attempted weight.

• A   set is an attempt and in this case, there are 3 attempts (attempt 1,   attempt 2, attempt 3).

• An   attempt contains the weight.

So to understand the weight you would lift for a single   exercise in the Exercise attempt table you would need to consider the rep   multiplied by attempts by the weight. So for a single attempt:

e.g. for 9001

rep multiplied by attempts by the weight

8 reps x 3 attempts x 15kg = 360 total kg’s lifted

1. The following Gym application database for weight session recording is as follows. Write and run SQL statements for creating the Occurrence_Exercise table.

◦ Include constraint values for the Condition Column: Heavy, Medium, Light

2. Write an SQL statement that will insert the data into Occurrence_Exercise table only.

◦ Definition of rep stands for repetition.

◦ Each exercise attempt has the rep number as indicated in the occurrence table.

Occurrence Table

 

OccurrenceID

Occ_Date

Occ_Place

Occ_Start_Time

Occ_Finish_Time

 

1

14/03/18

University_Gym

16:00:00

16:30:00

 

2

15/03/18

University_Gym

16:30:00

17:00:00

 

3

16/03/18

University_Gym

16:10:00

17:20:00

 

4

17/03/18

Home

07:00:00

08:00:00

 

5

17/03/18

University_Gym

17:00:00

18:00:00

Occurrence_Exercise Table

 

OccExID

ExerciseNo

OccurrenceID

Rep

Attempt1

Attempt2

Attempt3

Condition

 

9001

001A

1

8

15

15

15

Light

 

9002

002A

1

8

70

75

70

Medium

 

9003

003A

2

12

90

95

90

Heavy

 

9004

004A

3

12

200

200

200

Medium

 

9005

006A

3

8

110

110

115

Heavy

 

9006

005A

4

10

20

25

Medium

 

9007

001A

4

8

10

12

10

Medium

 

9008

002A

5

8

85

90

115

Heavy

Exercise Table

 

ExerciseNo

ExerciseDescription

ExerciseType

 

001A

Situps

Abs

 

002A

Bench Press

Chest

 

003A

Dead Lifts

Back

 

004A

Leg Press

Legs

 

005A

Seated Shoulder Press

Shoulders

 

006A

Squats

Legs

 

007A

Lat pull downs

Lats

Create the following queries:

3. Find the exercise which contains the maximum total weight lifted

◦ Show: Exercise, Maximum weight

◦ Ensure you show captions for each of the columns

◦ Hint: you would need to consider the number of times the weight is lifted and weight e.g. rep multiplied by attempt multiplied by the weight

4. Find the exercise that the user was not able to complete 3 attempts in, or the exercise that the user has not attempted.

◦ Show appropriate columns

◦ List in ascending order exercise type

◦ Do not show repeated names

◦ Ensure you show captions for each of the columns

Part C – All Topics

Value: 10%

For the first four questions refer to the Library Database. For question 5 refer to CDU Customer Invoice Database.

The questions are broken into: Q1-4 (6 marks) and Q5 (4 marks).

For all questions, provide the answer in the form of a SQL statement, with description before as necessary.

Questions Using the Library Database

1. What are the 5 most popular books?

◦ Show ASBN, Title.

◦ HINT: To limit results use ROWNUM.

2. Which branches currently have no loans out?

◦ Show all branch names.

◦ List in ascending order by branch.

3. Find the longest time a book has been loaned out for each branch

◦ Show only branch name and number of days.

◦ List in ascending order by branch name.

◦ Show all branches, even if there are no loaned out books. Therefore, a branch may have a null value for the longest loaded out book.

◦ Format the number of days to one decimal place.

4. Find the borrower that has returned a book on the dated 16 December 2010 and 8 May 2012

◦ Show two different methods.

Question Using the CDU Customer Invoice Database

5. Devise a delete query, which will eliminate duplicates for customer columns `ID`, `CustomerLastName`, `CustomerFirstName` and invoice columns `Invoice_Date` and `Invoice_No`.

◦ Ensure the query removes all duplicate data.