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2823 Relationship Sets Designation
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We now return to the rudimentary design scheme of Section 2822 and specify the following relationship sets and mapping cardinalities In the process, we also re ne some of the decisions we made earlier regarding attributes of entity sets borrower, a many-to-many relationship set between customer and loan loan-branch, a many-to-one relationship set that indicates in which branch a loan originated Note that this relationship set replaces the attribute originatingbranch of the entity set loan loan-payment, a one-to-many relationship from loan to payment, which documents that a payment is made on a loan depositor, with relationship attribute access-date, a many-to-many relationship set between customer and account, indicating that a customer owns an account cust-banker, with relationship attribute type, a many-to-one relationship set expressing that a customer can be advised by a bank employee, and that a bank employee can advise one or more customers Note that this relationship set has replaced the attribute banker-name of the entity set customer works-for, a relationship set between employee entities with role indicators manager and worker; the mapping cardinalities express that an employee works for only one manager and that a manager supervises one or more employees Note that this relationship set has replaced the manager attribute of employee
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2824 E-R Diagram
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Drawing on the discussions in Section 2823, we now present the completed E-R diagram for our example banking enterprise Figure 222 depicts the full representation of a conceptual model of a bank, expressed in terms of E-R concepts The diagram includes the entity sets, attributes, relationship sets, and mapping cardinalities arrived at through the design processes of Sections 2821 and 2822, and re ned in Section 2823
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Silberschatz Korth Sudarshan: Database System Concepts, Fourth Edition
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branch-city branch-name branch assets
loan-branch customer-name customer-id customer-street loan-number customer-city amount loanpayment
payment-date payment-number payment-amount
customer
borrower
loan
payment
access-date account-number cust-banker type depositor manager employee worker employee-id
dependent-name
balance
account
works-for
employee-name telephone-number start-date
savings-account
checking-account
employmentlength
interest-rate
overdraft-amount
E-R diagram for a banking enterprise
29 Reduction of an E-R Schema to Tables
We can represent a database that conforms to an E-R database schema by a collection of tables For each entity set and for each relationship set in the database, there is a unique table to which we assign the name of the corresponding entity set or relationship set Each table has multiple columns, each of which has a unique name Both the E-R model and the relational-database model are abstract, logical representations of real-world enterprises Because the two models employ similar design principles, we can convert an E-R design into a relational design Converting a database representation from an E-R diagram to a table format is the way we arrive at a relational-database design from an E-R diagram Although important differences
Silberschatz Korth Sudarshan: Database System Concepts, Fourth Edition
I Data Models
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The McGraw Hill Companies, 2001
Reduction of an E-R Schema to Tables
exist between a relation and a table, informally, a relation can be considered to be a table of values In this section, we describe how an E-R schema can be represented by tables; and in 3, we show how to generate a relational-database schema from an E-R schema The constraints speci ed in an E-R diagram, such as primary keys and cardinality constraints, are mapped to constraints on the tables generated from the E-R diagram We provide more details about this mapping in 6 after describing how to specify constraints on tables
291 Tabular Representation of Strong Entity Sets
Let E be a strong entity set with descriptive attributes a1 , a2 , , an We represent this entity by a table called E with n distinct columns, each of which corresponds to one of the attributes of E Each row in this table corresponds to one entity of the entity set E As an illustration, consider the entity set loan of the E-R diagram in Figure 28 This entity set has two attributes: loan-number and amount We represent this entity set by a table called loan, with two columns, as in Figure 223 The row (L-17, 1000) in the loan table means that loan number L-17 has a loan amount of $1000 We can add a new entity to the database by inserting a row into a table We can also delete or modify rows Let D1 denote the set of all loan numbers, and let D2 denote the set of all balances Any row of the loan table must consist of a 2-tuple (v1 , v2 ), where v1 is a loan (that is, v1 is in set D1 ) and v2 is an amount (that is, v2 is in set D2 ) In general, the loan table will contain only a subset of the set of all possible rows We refer to the set of all possible rows of loan as the Cartesian product of D1 and D2 , denoted by D1 D2 In general, if we have a table of n columns, we denote the Cartesian product of D1 , D2 , , Dn by D1 D2 Dn 1 Dn loan-number L-11 L-14 L-15 L-16 L-17 L-23 L-93 Figure 223 amount 900 1500 1500 1300 1000 2000 500
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