Handling Many to Many Relationships. 2 Handling Many:Many Relationships Aims: To explain why M:M...

Handling Many to Many Relationships

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Handling Many:Many Relationships

Aims:

To explain why M:M relationships cannot be implemented in relational database systemsTo demonstrate how to decompose many to many (M:M) relationshipsIntroduce other types of relationships

Entities and Tables

Each entity will become a table in the databaseEach table will have several attributes i.e. A Customer would have, as a minimum ‘forename’, ‘surname’, ‘address’ attributesEach row in every table will be unique

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Row Uniqueness

To ensure that each row is unique we add a primary key to each tableA primary key may be a single attribute in each table i.e. customer ID or it could be composed of several attributes in a table – this is know as a composite primary key

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Primary Keys and Foreign keys

Relationships between entities identified in an ERD are implemented in relational databases through the primary keysTo implement the relationships we ‘post’ the primary key from one table into the other tables – these are known as foreign keysThe only data that is ever repeated in the tables is the primary key as a foreign key in another table 5

NormalisationTo maintain the integrity (the correctness) of the data we apply normalisation techniques to the databaseThere are several levels of normalisation but is sufficient most database applications are normalised to 3rd Normal FormFor the purposes of this module we will cover 1st , 2nd and 3rd normal forms

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1st Normal Form (1NF)

To be in 1NF each attribute value will contain only atomic valuesThe attribute could be composed of several component parts but the value is seen by the DBMS as a single valueFor example, a customer’s address – 22, High Road

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1NF and M:M Relationships

To create a relationship between two tables we ‘post’ the primary key from one table into the other table as a foreign keyThe data types in each table in the relationship must be the same i.e. customerID = IntegerAlso the value of the foreign key of the ‘posted’ table must exist as a primary key value in the ‘posting’ table

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1NF and M:M Relationships

The problem with M:M relationships is deciding which table is the ‘provider’ and which is the ‘recipient’For example, the ERD below has been drawn for an ordering system

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1NF and M:M Relationships

The relationship reads:An Order must be for at least 1 but

could be for many PartsA Part may be used on many orders

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1NF and M:M Relationships

If we decided that the Parts table will be the provider of the primary key and the Orders table will contain the foreign key then the relationship would be implemented using the same data type i.e. PK = PartID (integer) in the Part table FK =PartID (integer) in the Orders table

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1NF and M:M Relationships

OrderNo OrderDate PartID

10 12/10/2007 1

11 14/10/2007 2, 3, 4

12 15/10/2007 1, 4

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PartID Description

1 Wobbly Widget

2 Dog-eared Brob

3 10 mm Dowel

4 Bevel Gear

PartID exists for OrderNo 10 but not for orders 11 & 12 as they are ‘sets’ of integers

1NF and M:M Relationships

Multiple values (or sets) cannot be entered as foreign key values as they do not exist in the same format in the Part tableIt would violate the referential integrity of the dataThe same problem would exist if we tried to post the orderNo from the Orders table to the Parts table as a foreign key 13

1NF and M:M Relationships

The same problem would also exist if the data types were text i.e.

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OrderNo

OrderDate

PartID

10 12/10/2007

PT123

11 14/10/2007

PT123, PT234, PTC245

12 15/10/2007

PT234, PTC245PartI

DDescription

PT123 Wobbly Widget

PT234 Dog-eared Brob

PTB123

10 mm Dowel

PTC245

Bevel Gear

Decomposition of M:M Relationships

The solution to the problem is to decompose the entities by introducing an intermediary table – see belowThe new tables multiplicity is now the Many end of the relationship and the original entities multiplicity becomes ‘1’ The optionality of the new entity is mandatory but the optionality of the original entities remains as before

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Decomposition of M:M Relationships

The new entity, which will eventually become a table in the database would not have been identified in the original systems investigation but it is required to fulfil the business needs and to maintain the referential integrity of the dataWe always ‘post’ the primary keys from the ‘1’ end of the relationship to the ‘many’ end of the relationship

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Decomposition of M:M Relationships – a New Entity

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OrderNo

OrderDate

10 12/10/2007

11 14/10/2007

12 15/10/2007

PartID

Description

PT123 Wobbly Widget

PT234 Dog-eared Brob

PTB123

10 mm Dowel

PTC245

Bevel Gear PartID OrderNo

Qty

PT123 10 2

PT234 11 3

PTB123

11 11

PTC245

11 56

PT234 12 3

PTC245

12 6

Posting from Part to Order Line

Posting from Order to Order Line

Part

Orderline

Order

Other Solutions?

Adding the intermediary table is the only correct solution to the problem of M:M relationshipsHowever, some database designers think that by adding extra columns is the answer

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Adding Extra Columns?

OrderNo OrderDate PartID-1 PartID-2 PartID-3

10 12/10/2007 PT123

11 14/10/2007 PT123 PT234 PTC245

12 15/10/2007 PT234 PTC24519

•The problem here is that the database designer does not know the maximum parts required for future orders and extra columns cannot be added by the user as and when needed

•It also introduces redundant data in the form of NULL values

Adding Extra Rows?Adding extra rows is not an option as we would be repeating primary key values which would violate the entity integrity rule whereby all rows are uniquely identified by the primary keyIt would also introduce redundant data i.e. dates

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OrderNo

OrderDate

PartID

10 12/10/2007

PT123

11 14/10/2007

PT123

11 14/10/2007

PT234

11 14/10/2007

PTC245

12 15/10/2007

PT234

12 15/10/2007

PTC245

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M:M Relationships

A M:M relationship between 2 entity types must be decomposed into two 1:M relationships.

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M:M Relationships

Student Modulechooses

M M

Becomes

ModuleStudentModuleChoicemakes

isfor

MM1 1

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The Decomposition Rules

A Br

M M

Becomes

A B

MM1 1

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Or -

A Br

M M

Becomes

A B

MM1 1

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Naming

Naming the new entity type and the new relationships is sometimes not easy

Consider what it is representing

If all else fails, concatenate/ join the names of the 2 original entity types (e.g. Student Module).

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Exercise

Decompose this M:M relationship to form two 1:M relationships:

Assign the new entity and relationship types suitable names.

Doctor PatientexaminesMM

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Solution

Table TypesWhen we have modelled our entities we could then design the tables by adding the attributes of the proposed tableWe describe the tables using table types whereby the table name is appended with an attribute list in parenthesesThe primary key is shown emboldened and underlinedForeign keys are shown in italics

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Table Types cont.The table types for the following ERD could be:

Customer (customerNo, surname, address…)Orders (orderNo, orderDate, customerNo…)

The ellipses (…) denote other possible attributes

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Identifiers

We have seen that an entity must have an Identifier – Primary KeyThe new entity type created by decomposition needs an identifierStart with a composite of the Identifiers of the 2 original entity types Need to consider carefully whether this will

uniquely identify every occurrence of the new entity type.

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Identifiers cont.

For the second example:

Doctor (doctor#, . . . . )Patient (patient#, . . . )

Appointment (Doctor#patient#, ..)

Is this a suitable identifier?.

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Identifiers cont.

To decide if an identifier is suitable:

Think of some other attributes for the entity:Is one pair of doctor#, patient# values associated with just one value of each of these attributes?.

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To decide if an identifier is suitable:

Think of some other attributes for the entity:Is one pair of doctor#, patient# values associated with just one value of each of these attributes?. No

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Could a patient see the same doctor more than once?

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Could a patient see the same doctor more than once? Yes – So add date

Appointment (doctor#,patient#date, …)

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Could a patient see the doctor more than once in a day?

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Could a patient see the doctor more than once in a day? Yes ( not common) so add time

Appointment (doctor#,patient#date,time..)

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This is getting a little complicated maybe we should add a new key field appointment number

Appointment (AppointmentNo doctorNo, patientNo, date, time, ..)

Note patientNo and doctorNo are now foreign keys

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Why Decompose?

Student (studentNo, name, . . .)Module (moduleNo, description, . . .)How do we know which students are taking

which modules?. We don’t

Student ModulechoosesM M

Back to the first exampleLook at the original M:M relationship:

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Why Decompose? cont.

Decomposing gives us a new table:

Student Module (studentNo, moduleNo, ...................)

Is this a suitable identifier ?Now we can list which student has

chosen which module.

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Exercise

Actor (actorNo, name, . . .)Play (playNo, title, . . .) Decompose this M:M relationshipAssign the new entity type an appropriate name and think of some additional attributes for it

Assign the new entity type a suitable identifier.

Actor Playappears

_inM M

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Solution

Actor (actorNo, name …)Play ( playNo, name, writer, length…)Production (actorNo, playNo,

first_performance_date, director, venue/theatre_name . . . etc!)

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Common Decomposition problem

Many decomposition entities represent business transactions ( or pieces of paper)

For example, booking, order etc They may be very difficult to name

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Common decomposition problem- example

Orderline (product#,order#, …)

The orderline represents each line of the order

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Other types of relationships

Recursive relationshipsAn individual entity can have a relationship with an entity of the same type

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Another example- Estate agents

It is possible to have more than one relationship between two entities

Exercise

Write the table types for the following ERD

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Summary

We have looked at decomposition of m:m relationships.Discussed how to identify a unique identifierIntroduced recursive relationshipsIntroduced multiple relationships between entities

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References

Data Analysis for database Design By D R Howe