The document contains SQL scripts that query various tables in the FAA_Project_JDRI database, including scripts to select data from tables like Aircraft, Airport_Codes, Customers, and Flights. It also includes scripts that join data from multiple tables, order results, and perform aggregate functions like counting and summing data. The scripts are exploring the structure and data in the database designed for an FAA project tracking airports, aircraft, flights, passengers, and other related information.
1. :i5ataliaJe
I I
0 0 0 0
I _I
I -
0 0 0 0
tfSreJ'en ec{Jjy:
$effiry i1£,.vara
~ummeT ~arteT
~()1()
.. -. ,. -------------_. __ ...
. .
- -----------
2. countvacHours.sql
USE Adventureworks
GO
select count (vacationHours)
From HumanResources.Employee
USE Adventureworks
GO
select COUNT (*)
FROM HumanResources.Employee
Go
USE Adventureworks
GO
select Employeelo, Hireoate, Title
From HumanResources.Employee
USE Adventureworks
Go
select *
From HumanResources.Employee
Where EmployeeID < 5
Go
USE Adventureworks
Go
select ~
From HumanResources.Employee
Where EmployeeID <= 5
Go
USE Adventureworks
Go
Select FirstName, LastName
From Person.Contact. HumanResources.Employee
Where Person.contact.contactID = HumanResources.Employee.contactID
AND EmployeeID < 5
USE Adventureworks
GO
select EmployeeID, HireDate. Title
From HumanResources.Employee
Order By Hiredate DeS(
USE Adventureworks
GO
select EmployeeID, HireDate, Title
From HumanResources.Employee
order By Hiredate
USE Adventureworks
Go
select Sum (vacat;onHours)
From HumanResources.Employee
page 1
4. -
Dear Customer,
The ways we store are Data makes you more money. We store such Customer
Data as meals served, First Class vs. Coach, number offlights in the last year. With all businesses the
major concern is net profit. Net profit is income minus cost. The way to improve profit is to increase
income, reduce cost or both. Data mining can do both. An example of increasing income is making sure
all seats are full. To reduce cost you can reduce waist. Data mining allows you give the customer what
they want when they want it, thereby reducing wasted time and materials. Time is money and time is
where data mining can make the biggest difference. You don't want workers just standing around
waiting, they need a set schedule of tasks. To make the schedule you need to know what is happening
and when. Data mining can improve production and customer satisfaction. We can have a monthly flyer
sent to valid customers using their personal information to keep them coming back.
In the long run your Customer base will be happier. Marketing is a way to reduce
material cost by only advertising to your customers or perspective customers. It's important to only
make what will be bought, everything else is waist. You don't want too many meals on a flight, too many
flight attendants per customers, or too much of anything that's going to cost the company money.
Therefore your Business will be very successful.
Thank You for the opportunity to forward your Company.
5. FAA Project JDRJ
Airport codes
• PK Airport code
• City
• State
Aircraft
• PK Aircraft codes
• Aircraft Description
• First Class Seats
• Coach Seats
Customers
• PK Customer 10
• Customer Name
• Customer Address
• Customer City
• Customer State
• Customer Zip
• Customer Phone
Tickets
• FK Customer 10
• Customer Name
• • FK Airport code
• FK Seat
• FK Departure time
• FK Flight
• FK Airport Code for destination
Luggage
• FKAirport code for destination
• FK Customer 10
Seats
• First class (tickets)
• Coach (tickets)
6. Security
Compare relative keys (luggage destination = Customer destination, Flights have proper flight
attendants, pilots, customers and luggage)
Flights
• PK Flight Number
• Airport Code for destination
• Departure time
• Arrival time
• Number of stops
• Meal served
• Aircraft code
• Flight distance in miles
• Movie
Pilots
• PK Pilot id
• Pilot name
• Pilot address
• Pilot city
• Pilot state
• Pilot zip
• Pilot phone
Flight attendants
• PK'FA id
.- FA Name
• FA address
• FA city
• FA state
• FA Zip
• FA phone
Food
• Customer id
• Meal type
7. Airport
Customers PK 1 Airport Code
Flights
PK 1 Customer ID Airport City
Airoort State PK I Fliaht ID
Customer Name
Tickets
Customer Address Airport Codes of Destination
___________ 1_ Departure Time
Customer City PK Ticket Number
Customer State 1 Arvial Time
1-
Customer Zip FK1 Customer 10 Number of Stops
Customer Phone FK2 MealiO Meal Served
FK3 Airport Code Movie
Meal Flight Distant in Miles
FK1 Pilot 10
PK I MealiD FK2 FAIO
~------------------~--
I
I
I
1
FK3 Ticket Number
Menu 1 1
FK4 Aircraft Code
1 1
1 1
1 1
Aircraft 1 1
1 1
1 1
PK I Aircraft Code
____, 1
1
1
~---------J---------L----J
1
1
I
1
1
1
1
1
L~gga!;1e Aircraft Description I 1 1 1
First Class Seats 1
I
1
1
1
1
1
I
PK I Luggage ID Coach Seats 1 1 1 1
1 I
1
FK1 I Customer 10
FK2 Flight 10 Flight Attendents
Security Pilots
PK I Security ID PK FAID PK I Pilot 10
1 --------------------
FA Name
FK1 Customer ID - FA Address
Pilot Name
FK2 LuggagelD - FA City
Pilot Address
FK3 Flight 10 - FA Zip
Pilot City
FK4 FA 10 - FA Phone
Pilot State
FK5 Pilot 10 - Pilot Zip
FK6 Aircraft Code Pilot Phone
L I
8. FAA Project RDRJEnterprises
Airport codes
• PK Airport code nvarchar(SO)
• City nvarchar(SO)
• State nvarchar(SO)
Aircraft
• PK Aircraft codes nvarchar(SO)
• Aircraft Description nvarchar(SO)
• First Class Seats nvarchar(SO)
• Coach Seats nvarchar(SO)
Customers
• PK Customer ID nvarchar(SO)
• Customer Name nvarchar(SO)
• Customer Address nvarchar(SO)
• Customer City nvarchar(SO)
• Customer State nvarchar(SO)
• Customer Zip nvarchar(SO)
• Customer Phone nvarchar(SO)
Tickets
• FK Customer ID nvarchar(SO)
• FK MealiD nvarchar(SO)
• .FKAirport Code nvarchar(SO)
• PK Ticket Number nvarchar(SO)
Luggage
• FK Airport code for destination nvarchar(SO)
• FK Customer ID nvarchar(SO)
• PK Luggage ID nvarchar(SO)
Security
• PK Security ID nvarchar(SO)
• FK Customer ID nvarchar(SO)
• FK Luggage ID nvarchar(SO)
• FK Flight ID nvarchar(SO)
• FK FA ID nvarchar(6)
9. • FK Pilot ID nvarchar(6)
• FK Aircraft Code nvarchar(SO)
Flights
• PK Flight ID nvarchar(SO)
• Airport Code for destination nvarchar(SO)
• Departure time nvarchar(SO)
• Arrival time nvarchar(50)
• Number of stops nvarchar(SO)
• Meal served nvarchar(SO)
• FK Aircraft code nvarchar(SO)
• FK Ticket Number nvarchar(SO)
• FK FA ID nvarchar(6)
• FK Pilot ID nvarchar(6)
• Flight distance in miles nvarchar(SO)
• Movie nvarchar(SO)
Pilots
• PK Pilot id nvarchar(6)
• Pilot name nvarchar(50)
• Pilot address nvarchar(SO)
• Pilot city nvarchar(SO)
• Pilot state nvarchar(SO)
• Pilot zip nvarchar(SO)
• Pilot phone nvarchar(SO)
Flight attendants
• PK FA id nvarchar(SO)
• FA Name nvarchar{SO)
• FA address nvarchar(SO)
• FA city nvarchar(SO)
• FA state nvarchar(50)
• FA Zip nvarchar{SO)
• FA phone nvarchar{SO)
Meal
• PK MealiD nvarchar(50)
• Menu nvarchar(SO)
10. ~ Mkro,iftSQ.l SeNE'W..~i~.;.ailldJO &jir!5,T ~ ,~~:'~~:i~~~~~;:~:~r!i-;'4.~:
..~~f;·
i j~:;t~,r::;~-'trir '''''''':;-
~~.ir<,-'~jr;~;:';jJt~~l~~1;,:J: 5!1~~ itE:Jl::V~
File Ed~ view Que.)' Tool> Winde,1V Community Help
:j,J_r~'VlQU"'f 1],1 I [i I~ Q_~ r.!~ IIiII'III ~ 1m i!{I. iIJ ~ .iii
: ~l' !1M I FMJmjat_!DRI -I P EME,c1. ,./ ill ~31.e.1 ~'ii r ~ ~ @[j]eu I ~ ~ 1~ 1~ iI
Ob~tct~P~o ••,_ ... 11 X / IEFf,P~:.Wat.ba ... Q"_ri6~2, I "J~FF-PCSQL[XPRE5_JDIU ·.db<,Piots VJEFF-PCSQlEllPRL- SQ.LQ.u")'l.sql'~ T )( II Prop.rtie< • • .. A X
~ ,~~ r. " CS,E TIlA_ProJ_co_JIRJ '"? Currentqu,,),wrndowcptl.II>
Go
8 to IEFf·P:::SQlEXPRESS(5qlS.Ner9.n,4053· I, ~elect •
~HI,J
8 EJ 0.1,& ,
ase lIon Illtcra:cl
8 Status
HI D Syst.m ilattb eses C-o
B (ij FAA_Projert)DiU Clrre.,tStatJ"S QJerl .,.cu:td 'lCC'
Ii CJj Ditat~. Di'~"m; E;;ecuticn 1im! C(;)l:~O
ED Iebles RJw,F<1trr,d <J.
ffi U 5),m.nT.tje< Sever JEFf-~C'.SQlEJ.P~S
HI 1:1 dbo.Airmft ·111 IPID .,
e-
HI 1:1 d.o.Airport.C.d., User Jef·PCi,ff
ill iii db",(ustom,,, lJ!fsicn (£]11053
IlJ Ll dbo.Flight
III I] db"'Flight_.tten~Er'ts
IlJ Ll db",Pilllt.
III CI db", 'ick.I,
Ii J:] '~i<"i'
It L;j) "flo"yo"
It Cl2 Pr"!lrammabiliiy
It t.:I Security
I!I U Security
I!I tl S.M' 0Ilj.:1,
•L IQ
III [;J E'pi,,,ion liD Ib.JI. lfi V."",es I
!llU MaNgem.nI Armat._Cod. .llur<f._DalOi)TJon fIrn_a.,,_s .... Cca ch_S.~.
1 r.~L:,·:·,'.:.,~:·]
3~ng 13,·700 12 112
2 731- 3";119 ,j,.fIll 16 144
;) 747 9:.ang ,4.-41JJ fili 303
~ i52 3~ng >5'.;m 2. 159
10 ie,S
24 2:;&
SO 218
IS 108
16 131
32 21·
NULL i[l
NUll .1
fJUll 5!j
fJUll ;6
fJUll ",
IS
( 111- JF:'PCS~lEXPR6~ is,O5"31 .l!fl..:cJelf 52) FM_""jed_JDP~ ml)}OO 2', ~""
R.. ~y Lr,~ C0114 Ch14 iNS
