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January 14, 2000
Database Application Design
Handout #2
(C) 2000, The
University of Michigan
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Course information
• Instructor: Dragomir R. Radev
([email protected])
• Office: 305A, WH, Phone: 615-5225
• Office hours: TBD and Friday 1-2
• Course page:
http://www.si.umich.edu/~radev/654w00
• Meeting time:
Fridays, 2:30 - 5:30 PM, 311 WH
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University of Michigan
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Introduction to database
development
(cont’d)
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University of Michigan
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Metadata
• System tables
• Overhead data (indexes)
• Application metadata
(C) 2000, The
University of Michigan
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Components of a DBMS
• Design tools subsystem: design and creation of
databases and applications; creations of tables,
forms, queries, and reports; interfaces to
programming languages
• Run-time subsystem: e.g., for linking forms to
backend
• DBMS engine: translates requests into commands;
transaction management; backup and recovery;
locking
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University of Michigan
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Creating the database
• Database schemas
• Tables:
– CAPTAIN (CaptainName, Phone, Street, City,
State, Zip)
– ITEM (Quantity, Description, DateOut, DateIn)
– Uniqueness?
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University of Michigan
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Creating the database
• Relationships:
– one captain to many items (1:N)
– need to add CAPTAIN_ID to ITEM
• Domains
– sets of values that a column may have
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University of Michigan
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Creating the database
• Business rules (constraints)
– In order to check out any equipment, a captain
must have a local phone
– No captain may have more than 7 balls checked
out at any time
– Captain must return all equipment within five
days after the end of each semester
– No captain may check out any equipment if he
or she has any overdue
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University of Michigan
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Enforcing business rules
• Depends on system
• Stored procedures
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University of Michigan
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Creating tables
•
•
•
•
•
•
•
Relationships
Foreign keys (CAPTAIN_ID)
Forms
Queries
Reports
Menus
Application programs
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University of Michigan
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DB654 database
• Students
• Projects
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University of Michigan
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Database development process
• Top-down development:
–
–
–
–
–
–
general to specific
start with the strategic goals of the organization
means by which they will be accomplished
information requirements
necessary systems
BUILD ABSTRACT DATA MODEL
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University of Michigan
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Database development process
• Bottom-up development:
– Start from needed reports, forms, queries
– analyze existing systems, input & output
– BU design: produces systems more quickly
than TD design
– Other tradeoffs
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University of Michigan
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Data modeling
• Inference process: from users’ statements to
the structure and relationships of items to be
stored in the database
• Reports and forms are shadows on the wall
• Inferencing is more an art than a science
• Multi-user systems: how to resolve
differences; who decides
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University of Michigan
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The entity-relationship
model
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University of Michigan
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E-R model
• Introduced by Peter Chen in 1976 (“The EntityRelationship Model - Towards a Unified View of
Data”) in ACM TODS, January 1976
• Key elements:
–
–
–
–
entities: something that the user wants to track
entity classes
attributes (or properties); e.g, employee name
identifiers (name, but not salary): unique or not;
composite
– relationships: by degree
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University of Michigan
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Binary relationships
•
•
•
•
1:1
1:N
N:M
HAS-A relationships: e.g., a CLUB has
STUDENTS
STUDENT
N:M
CLUB
STUDENT-CLUB
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University of Michigan
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Entity-relationship diagrams
• Maximum cardinality
• Minimum cardinality
DORMITORY O
1:N
STUDENT
DORM-OCCUPANT
• Recursive relationships: examples?
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University of Michigan
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University of Michigan
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