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Edit question Garden Glory Project Questions Assume that Garden Glory designs a database with the following tables: OWNER (OwnerID, OwnerName, OwnerEmail, OwnerType) OWNED_PROPERTY (PropertyID, PropertyName,

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Garden Glory Project Questions Assume that Garden Glory designs a database with the following tables:

OWNER (OwnerID, OwnerName, OwnerEmail, OwnerType)

OWNED_PROPERTY (PropertyID, PropertyName, PropertyType, Street, City, State, Zip, OwnerID)

GG_SERVICE (ServiceID, ServiceDescription, CostPerHour);

EMPLOYEE (EmployeeID, LastName, FirstName, CellPhone, ExperienceLevel)

PROPERTY_SERVICE ( PropertyServiceID , PropertyID , ServiceID, ServiceDate , EmployeeID, HoursWorked)

The referential integrity constraints are:

OwnerID in OWNED_PROPERTY must exist in OwnerID in OWNER

PropertyID in PROPERTY_SERVICE must exist in PropertyID in OWNED_PROPERTY

ServiceID in PROPERTY_SERVICE must exist in ServiceID in GG_SERVICE

EmployeeID in PROPERTY_SERVICE must exist in EmployeeID in EMPLOYEE

Assume that OwnerID in OWNER, PropertyID in PROPERTY, and EmployeeID in EMPLOYEE are surrogate keys with values as follows:

OwnerID Start at 1 Increment by 1

PropertyID Start at 1 Increment by 1

ServiceID Start at 1 Increment by 1

EmployeeID Start at 1 Increment by 1

PropertyServiceID Start at 1 Increment by 1

Sample data are shown in Figure 3-38, Figure 3-39, Figure 3-40, Figure 3-41, and Figure 3-42. OwnerType is either Individual or Corporation. PropertyType is one of Office, Apartments, or Private Residence. ExperienceLevel is one of Unknown, Junior, Senior, Master or SuperMaster. These tables, referential integrity constraints, and data are used

Sample Data for Garden Glory OWNER Table OwnerID OwnerName OwnerEmailAddress OwnerType

1 Mary Jones Mary.Jones@somewhere.com Individual

2 DT Enterprises DTE@dte.com Corporation

3 Sam Douglas Sam.Douglas@somewhere.com Individual

4 UNY Enterprises UNYE@unye.com Corporation

5 Doug Samuels Doug.Samuels@somewhere.com Individual

Sample Data for Garden Glory OWNED_PROPERTY Table PropertyID PropertyName PropertyType Street City State ZIP OwnerID

1 Eastlake Building Office 123 Eastlake Seattle WA 98119 2

2 Elm St Apts Apartments 4 East Elm Lynwood WA 98223 1

3 Jefferson Hill Office 42 West 7th St Bellevue WA 98007 2

4 Lake View Apts Apartments 1265 32nd Avenue Redmond WA 98052 3

5 Kodak Heights Apts Apartments 65 32nd Avenue Redmond WA 98052 4

6 Jones House Private Residence 1456 48th St Bellevue WA 98007 1

7 Douglas House Private Residence 1567 51st St Bellevue WA 98007 3

8 Samuels House Private Residence 567 151st St Redmond WA 98052 5

as the basis for the SQL statements you will create in the exercises that follow. If possible, run these statements in an actual DBMS, as appropriate, to obtain your results. Name your database GARDEN_GLORY. Use data types consistent with the DBMS you are using. If you are not using an actual DBMS, consistently represent data types using either the MySQL, Microsoft SQL Server, or Oracle Database data types shown in Figure 3-5. For each SQL statement you write, show the results based on your data. Write SQL statements and answer questions for this database as follows:

Will you please explain and write the instructions how to write on mySQL and thank you

FIGURE 3-40

Sample Data for Garden Glory EMPLOYEE Table EmployeeID LastName FirstName CellPhone ExperienceLevel

1 Smith Sam 206-254-1234 Master

2 Evanston John 206-254-2345 Senior

3 Murray Dale 206-254-3456 Junior

4 Murphy Jerry 585-545-8765 Master

5 Fontaine Joan 206-254-4567 Senior

FIGURE 3-41

Sample Data for Garden Glory GG_SERVICE Table ServiceID ServiceDescription CostPerHour

1 Mow Lawn 25.00

2 Plant Annuals 25.00

3 Weed Garden 30.00

4 Trim Hedge 45.00

5 Prune Small Tree 60.00

6 Trim Medium Tree 100.00

7 Trim Large Tree 125.00

FIGURE 3-42

Sample Data for Garden Glory PROPERTY_SERVICE Table PropertyServiceID PropertyID ServiceID ServiceDate EmployeeID HoursWorked

1 1 2 2019-05-05 1 4.50

2 3 2 2019-05-08 3 4.50

3 2 1 2019-05-08 2 2.75

4 6 1 2019-05-10 5 2.50

5 5 4 2019-05-12 4 7.50

6 8 1 2019-05-15 4 2.75

7 4 4 2019-05-19 1 1.00

8 7 1 2019-05-21 2 2.50

9 6 3 2019-06-03 5 2.50

10 5 7 2019-06-08 4 10.50

11 8 3 2019-06-12 4 2.75

12 4 5 2019-06-15 1 5.00

13 7 3 2019-06-19 2 4.00

D. Write SQL statements to list all columns for all tables.

E. Write an SQL statement to list LastName, FirstName, and CellPhone for all employees having an experience level of Master.

will you please explain thank you

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