Posted
by: Iqbal M. Khan; Alachisoft; www.alachisoft.com
If you are developing an object oriented .NET application that has to talk to a database, you'll inevitably map objects to a relational model. And, most likely you'll face situations where many-to-many relationships exist in your database. This article describes how you can handle many-to-many relationships in O/R mapping.
Most .NET applications are object oriented and at the same time they have to deal with relational databases. This creates a difficulty for the developers because they have to figure out how to map their objects to the tables in the database. Sometime, there is a one to one mapping between an object and a table and at other times, one object may consist of data from multiple tables or subset of data from one table.
The most important thing one can achieve in O/R Mapping is to capture the logical data model design in the object model of the application. This makes it really easy to design, develop, and later maintain this object model. We'll try to follow this rule when mapping many-to-many relationships to objects.
Data
Model
So, what does a many-to-many relationship look like in the database. Here is an example:

Here you can see a many-to-many relationship between t_course and t_student tables via a bridge table called t_course_taken. The bridge table's primary key consists of two foreign keys coming from each of the corresponding tables. Additionally, the bridge table has additional attributes for the many-to-many relationship itself.
Domain Object Model
First of all, let's see how this would be captured in the object model in C#.
public class
Course
{ // Some of the private
data members
// ...
public
Course() {}
// Properties for
Course object public
String CourseId {
get {return _courseId;}
set {_courseId = value;}}
public String Name {
get {return
_name;}
set {_name = value;}}
public int
CreditHours
{ get {return
_creditHours;} set {_creditHours =
value;}}
// 1-n relationship properties
public ArrayList
CourseTakenList
{ get {return
_courseTakenList;} set {_courseTakenList =
value;}}
}
public class
CourseTaken
{ // Some of the private
data members
// ...
public
CourseTaken() {}
// Properties for
CourseTaken object public
String CourseId {
get {return _courseId;}
set {_courseId = value;}} public
long StudentId
{
get {return _studentId;}
set {_studentId = value;}}
public int
Semester {
get {return
_semester;}
set {_semester = value;}}
public int
AcademicYear
{ get {return
_academicYear;} set {_academicYear =
value;}}
public float
Grade { get {return
_grade;} set {_grade =
value;}}
// n-1 relationship properties
public Student
Student { get {return
_student;} set {_student =
value;}}
public Course
Course { get {return
_course;} set {_course =
value;}}
}public class
Student
{ // Some of the private
data members
// ...
public
Student() {}
// Properties for
Course object public
long StudentId {
get {return _studentId;}
set {_studentId = value;}}
public String
Name {
get {return
_name;}
set {_name = value;}}
public DateTime
BirthDate { get {return
_birthDate;} set {_birthDate =
value;}}
// 1-1 relationship properties
public ArrayList
CourseTakenList
{ get {return
_courseTakenList;} set {_courseTakenList =
value;}}
}
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As you can see, Course and Student objects both keep a collection of CourseTaken objects. Now, if t_course_taken table did not have any attributes other than the primary key, we could have simply kept a collection of Student objects in Course and a collection of Course objects in Student. However, to have a consistent design, we should always keep a collection of the object mapped to the bridge table. That way, if you decide to add attributes to the bridge table later, you won't have completely redo your object model and hence your application. You could simply add attributes to the object mapped to the bridge table.
Persistence Code
Now that we have mapped an object model to the data model, the next question to address is how the persistence code should look. First of all, let's see the code for loading objects from the database.
public class CourseFactory : DbObject,
ICourseFactory {
// ...
public CourseFactory() {}
public void
Load (Course course,
int depth)
{
try
{
//
Load the Course record from the database.
_LoadFromDb(course);
// Now, load
all related CourseTaken objects
ICourseTakenFactory ctf = ServiceProvider.getCourseTakenFactory();
course.CourseTakenList = ctf.FindWithStudent(course.CourseId,
depth);
}
catch (Exception
ex) { throw ex; }
}
}
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In the load method of CourseFactory, you see that the Course object is loaded from the database in a normal fashion. I didn't include the detailed code for this to keep things short. Then, another database call is made through ICourseTakenFactory called FindWithStudent. This call returns a collection (ArrayList) of CourseTaken objects. And, the interesting thing to note here is that each CourseTaken object also points to its related (n-1) Student object. Please see the code for FindWithStudent below.
public class CourseTakenFactory : DbObject,
ICourseTakenFactory {
// ...
public CourseTakenFactory() {}
public ArrayList
FindWithStudent (String
courseId, int depth)
{
try
{
String sql = "SELECT
course_id, t_course_taken.student_id, semester,
academic_year, grade, name, birth_date
FROM t_student INNER JOIN t_course_taken
ON t_student.student_id = t_course_taken.student_id
WHERE course_id = ?";
ArrayList ctList =
new ArrayList();
PrepareSql(sql);
BeginTransaction();
AddCmdParameter("@courseId",
EDataType.eInteger, courseId, EParamDirection.eInput);
ExecuteReader();
while (Read())
{
CourseTaken ct = new
CourseTaken();
FillCourseTaken(ct); // Copy
values from the Reader to ct
Student student = new
Student();
FillStudent(student); // Copy
values from the Reader to student
ct.Student = student; // ct now
references its related (n-1) Student
ctList.Add(ct);
}
ReleaseReader();
CommitTransaction();
ReleaseCommand();
return ctList;
}
catch (Exception
ex)
{
Rollback();
throw
ex;
}
}
}
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Note in the FindWithStudent method that a single database call is made to fetch a collection of both CourseTaken and Student objects. Although, a cleaner design would have been to load all the CourseTaken objects first and then from within each CourseTaken object call the Student object to load itself. But, that would have been much slower performance because we would be making "n" trips to the database, once for each CourseTaken to find its corresponding Student object. Therefore, this approach has been taken.
Conclusion
Many to many relationships are frequently used in the database. However, they are not often mapped correctly in the object model and this leads to a poor object design and application performance. This article attempts to explain how to map many to many relationships in your objects in a somewhat efficient manner and at the same time keeping the object oriented design principles true.
Author:
Iqbal M. Khan works for Alachisoft, a leading
software company providing O/R Mapping and
Clustered Object Caching solutions for .NET.
You can reach him at
iqbal@alachisoft.com or visit Alachisoft
at www.alachisoft.com.
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