CS代考 INFO20003 Week 2 Lab

INFO20003 Week 2 Lab
Modelling with MySQL Workbench Objectives:
In this laboratory session you will familiarise yourself with the MySQL Workbench database modelling tool. This is the tool you will use to complete modelling tasks in labs and to complete Assignment 1.
In this lab you will:

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• Launch the MySQL Workbench modelling tool
• Create a simple ER model using MySQL Workbench
• Define relationships between tables
• Create meaningful relationship labels
Creating the model
This section of the lab introduces you to the basic process of creating data models (entity- relationship models, or ER models) in MySQL Workbench.
◆ Task 1 Launch MySQL Workbench.
When you launch MySQL Workbench you will be in the default “MySQL Connections” view.
This is circled in red below:
Figure 1: The default MySQL Workbench window
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You will need to select the “Models” view:
Figure 2: The Models icon
Your window will have changed to a different view:
Figure 4: The full screen of the Models view
◆ Task 2 Click the Add model (+) symbol next to the word “Models” at the top left of the MySQL Workbench window.
This will launch a new modelling window:
Figure 5: The new modelling window
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◆ Task 3 Click the “Add Diagram” icon to add a new diagram:
Figure 6: The add diagram icon
This will bring up a second tab containing an empty diagram window:
Figure 7: The diagram with modelling tools on the left-hand side of the canvas. Note the buttons to hide the side panels in the top-right corner of the canvas.
◆ Task 4 Make more space for your diagram. Hide the left- and right-hand panels of your modelling canvas using the buttons in the top-right corner:
Figure 8: Buttons to minimize the left and right panels of the modelling canvas
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Adding tables to your model
◆ Task 5 Add a new table to your model by clicking on the table icon, then clicking
anywhere in your diagram.
Figure 9: The add table tool
A new table will appear:
Figure 10: The table has now been placed on the diagram canvas
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◆ Task 6 Double click the table.
The table editor appears at the bottom of the window. The table name is highlighted.
Figure 11: The table editor
◆ Task 7 Change the name of the table from ‘table1’ to ‘Song’.
◆ Task 8 Now double-click the area under ‘Column Name’ and enter the following
information for each column:
Song Table:
Column Name
SongID SongTitle Artist AlbumID LastPlayed Genre
Data Type Check Box (select)
INT PK, NN * VARCHAR(45) NN VARCHAR(45) NN
VARCHAR(20)
Table 1: The Music table column names and data types
* Note: PK stands for “primary key”, and NN is short for “NOT NULL” (see below).
To change the column’s data type, double-click in the data type column and select from the
drop-down list.
For VARCHAR you need to type a number in the brackets. This number is the maximum length of the text that can be stored in this column. For DATETIME you do not need to type a number in the brackets. If brackets are shown, simply delete them.
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The finished table should look like this in the table editor:
Figure 12: The Song table in the table editor
And the Song table in the diagram should now look like this:
Figure 13: The Song table as drawn in the diagram
The yellow ‘key’ indicates that the SongID column is a Primary Key. The solid blue diamond indicates that this column must be populated for every row in the table and cannot be empty (or “null”). The blue outlined diamonds indicate the column can contain null or empty values for a row.
◆ Task 9 Repeat Tasks 5 to 8 to add the Album and RecordCompany tables to the diagram:
Album Table
Column Name
AlbumID AlbumTitle
Rating RecordCompanyID
INT VARCHAR(45) INT
Check Box (select)
Check Box (select)
Table 2: The Album table column names and data types
RecordCompany Table
Column Name
RecordCompanyID RecordCompanyName Country
INT VARCHAR(45) VARCHAR(45)
Table 3: The RecordCompany table column names and data types
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After completing Task 9, your diagram should look similar to below:
Figure 14: The three tables (Song, Album and RecordCompany) in your diagram, without relationships
◆ Task 10 Save your changes (File > Save). Relating tables
Now that you have created the tables, it is time to link them with relationships.
When linking tables to each other, make sure you use the “eyedropper” tool that allows you to use existing columns.
Figure 15: The “Place a Relationship Using Existing Columns” or “eyedropper” tool. This tool allows you to define relationships between two entities using an existing column in each entity.
Figure 16: On Windows, this tool might be located in the “overflow” popout at the bottom of the toolbar.
Mac users note: If you cannot find this tool, you might need to close the Table editor section of the window.
In the Music table, the AlbumID column is the attribute that will identify which album each song is found on. In the following tasks, you will learn how to use the “eyedropper” tool to link the two tables together.
HINT: When drawing relationships between two tables, there must be a column of the same data type representing the same information in each entity.
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◆ Task 11 Select the “eyedropper” tool and select the AlbumID column in the Song table.
Figure 17: Select the AlbumID column of the Song table.
◆ Task 12 Then select the AlbumID column in the Album table.
Figure 18: Select the primary key of the Album table.
Note: The two attributes used to create a relationship between the two tables must have exactly the same data type. However, they may have different names.
Figure 19: A relationship is now defined between the AlbumID in the Song table and the AlbumID in the Album table.
Note that the AlbumID diamond in the Song table has changed colour from blue to red. This indicates that this column is a “foreign key”, used in linking the two tables.
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◆ Task 13 Now repeat this task by creating a relationship from the RecordCompanyID column in the Album table to the RecordCompanyID column in the RecordCompany table.
Your end result should look like this:
Figure 20: The finished relationships between the Song, Album and RecordCompany tables
◆ Task 14 Save your changes. Adding relationship labels
We are now going to label the relationship between each pair of tables. Relationship labels substantially improve the readability of the models.
◆ Task 15 From the menu, select Model > Model Options.
Figure 21: The Model Options menu
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◆ Task 16 In the Model Options window, select “Diagram” and uncheck the “Use defaults from global settings” checkbox at the bottom of the window.
Figure 22: The Diagram menu in Model Options
Figure 23: After unchecking the “Use defaults from global settings” checkbox, all the diagram options are now available to be altered.
◆ Task 17 Check the “Show Captions” checkbox in the “Relationship Connections” section of the Diagram Model preferences. Then click OK.
The relationship connections are now labelled with default labels. INFO20003 L-Wk2

Figure 24: The relationships are labelled fk_Song_Album and fk_Album_RecordCompany1.
◆ Task 18 Double-click on the fk_Song_Album relationship label. The Relationship editor appears.
Figure 25: The Relationship editor
◆ Task 19 Change the “Caption” (circled in red in Figure 25) from ‘fk_Song_Album’ to ‘recorded on’ and close the Relationship editor.
The relationship between the Song and Album tables has been renamed.
◆ Task 20 Repeat the process for the other relationship, changing the name to ‘released by’.
Your final diagram should look like this:
Figure 26: The final Music model
You have just modelled a simple music-related scenario with three entities (tables).
The model is not quite complete – it lacks participation constraints (an indication of whether the relationship is mandatory or optional). This will be covered in next week’s lab.
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◆ Task 21 Save your changes to your diagram. You will need this model again next week, so save it in a safe place!
If you are working on a lab PC, save your file to a location where you can retrieve it later, such as your H: drive. Files saved to the lab PC’s C: drive are deleted on machine reboot.
Congratulations, you have created your first ER model! End of Lab 2
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