I'm using an ORM (SQLAlchemy, but my question is quite implementation-agnostic) to model a many-to-many relationship between a parent class and its children.. I was wondering, what would be a simple way to express the concept "one of the children is the default/main one"?
For example, I'd need to persist the following:
This Person instance has Address X and Y, the main one is Y.
I saw this implemented using a "middle" class like "PersonAddressRelation" that would contain "Person", "Address" and the "main" flag, but I think it looks a bit cumbersome.. Is there a better way?
The simplest way would be to have a join table, PersonAddressRelation, and also a DefaultAddress column on the Person table that keys to the Address table.
A couple of remarks.
M:N relationships don't specify 'parent' and 'child', as there's no parent nor a child: there are simply two entities having an m:n relationship via a 3rd entity (the intermediate entity).
'Address' is in general not a valid entity type, as semantically it has no identity, similar to a 'name' has no identity (first name, last name). You'll see this when you look at re-using an entity instance of type Address: you won't do that in general. (though you will re-use a Customer entity instance for example, when the customer has multiple orders)
You want to specify an attribute on the M:N relationship (default), as it belongs there. This means that the relationship itself forms an entity (which is the intermediate entity, often it has just two FK fields forming the PK). This is called an 'objectified relationship', as the relationship itself is seen as an entity. Other examples of this are Employee m:n Department and you want to specify the StartDate an employee started for a department the employee works for.
So in general: create the intermediate entity, as it in general should be there, and add the attribute there. In this particular case with Address, be really sure you are re-using Address instances among related entities (Person). If not, merge Address with Person OR if a person can have multiple addresses, create a simple 1:n relationship between Person - Address, to normalize it out, though don't be afraid to merge address data into the entity it is related to, as often address data is really not re-used (so your m:n relationship is really not there: there's no Address instance which is related to multiple person instances.
Related
I have the following problem that I have multiple scenarios that might be right or wrong, I've been searching on this for a while and I didn't find a specific answer for my problem:
Doctor Clinic Example:
We have doctor, patient, treatment, treatment-type
Doctor: id, name....
Patient: id, name...
Treatment: date, cost
Treatment-Type: id, name
Doctor can do multiple treatments, and Patient can also do multiple treatments, so they are connected with Treatment with(1-N) relationship.
Treatment entity is a weak entity, as it cannot be defined in the absence of Doctor or Patient, so my question is, when we convert this ERD to actual tables, which is the correct (or the best-practice) scenario?
1 - doctor-id, patient-id cannot define the Treatment table uniquely, so we add to Treatment table the treatment-id field, and the PK is (doctor-id, patient-id, treatment-id).
2 - We add treatment-id field, and the PK is(treatment-id).
3 - The PK will be (doctor-id, patient-id, date).
I struggled finding if 'date' can be part of PK or not, and also I struggled if I can create an unique ID for weak entity
Thanks in advance.
Weak entity sets are entity sets that are partially identified by a parent entity set's primary key. A weak entity set necessarily depends on its parent entity set for existence (we say it participates totally in its identifying relationship), but not everything with an existence dependency is a weak entity set. Regular entity sets can also participate totally in one or more relationships. So, it depends on how you identify an entity set. See also my answer to the question "is optionality (mandatory, optional) and participation (total, partial) are same?"
An entity set that is uniquely identified by its own attributes is a regular entity set. An entity set that is partially identified by a parent entity set's primary key is a weak entity set. An entity set that is fully identified by a parent entity set's primary key is a subtype.
You should also note that weak entity sets can only have one parent entity set according to the entity-relationship model as Chen described it. Being identified by multiple parent entity sets would make it a relationship rather than an entity set.
In some schema design tools, a different interpretation is used where tables are equated to entity sets and relationships equated to FK constraints, and an identifying relationship would be an FK that is part of the PK of a table. This approach is closer to the network data model than the entity-relationship model, despite having adopted much of ER's terminology.
Let's take a look at your examples:
In example 1, we should consider whether treatment-id is identifying on its own (i.e. a surrogate key) or only in combination with doctor-id and patient-id (i.e. an ordinal number). If it's a surrogate key, it would be a mistake to include doctor-id and patient-id in the PK, example 2 would be the right way of handling it. If it's an ordinal number, then it's basically the same as example 3 - two foreign entity keys and a value set in a primary key. I'll say more about that in my comments on example 3.
In example 2, treatment-id is a surrogate key which means Treatment is a regular entity set which participates totally in its relationships with Patient and Doctor. This would be my recommended solution, since it's the simplest.
In example 3, you have a primary key consisting of two foreign entity keys and a value set.
The entity-relationship model doesn't cover such relations - relations with a single entity key are called entity relations, and relations with multiple entity keys are called relationships relations. Value sets are only described as the codomains of attributes, not the domains. The ER model's inability to handle arbitrary relations are a consequence of artificial distinctions between entity sets vs value sets, and between attributes vs relationships. Other data modeling disciplines like the relational model and object-role modeling are complete and can handle any kinds of relations.
Back to example 3, despite the ER model's shortcomings, it's not invalid to create such a table/relation in an actual database. However, think about what the primary key means - can a patient receive only one treatment per day from the same doctor? I would think multiple treatments should be possible, in which case you might need to add another ordinal number, e.g. (doctor-id, patient-id, date, treatment-id). In that case, it might be simpler just to do (doctor-id, patient-id, treatment-id).
One argument against such composite/natural keys is that they add up - a many-to-many association between two relations, each with 3 columns in their primary keys, could have up to 6 columns in its primary key! That gets inconvenient quickly, but on the other hand, those columns are relevant related info that would otherwise need to be retrieved from joined tables if the association was identified by a surrogate key.
Sorry about the long answer, but I hope this covers all the fine points. Let me know if you have any questions.
I have a design problem with regards to Entity Framework model relationship
I have this model in the edmx
Business Rule:
A Participant can have multiple Roles so I create a relationship table ParticipantRoles that has 1-to-Many relationship on the Participant and the Role table
The Problem:
In order to get the Participant's Role value, I have to drill down through Participant->ParticipantRole->Role (see JSON output below)
The Question:
In EF, how to design the table relationship to bypass the ParticipantsRole table. I want to access the Role in something like this Particant.Role and not Participant.ParticipantsRole.Role
You say A Participant can have multiple Roles. And of course, a Role can have multiple Participants. So basically this is a many-to-many association.
Entity Framework will only map pure many-to-many associations (without connecting class) when the junction table only has two foreign keys. In your case, if the table ParticipantsRole only would have had a primary key consisting of ParticipantId and RoleId at the time of generating the model the class ParticipantsRole would not have been created. You would have had Participant.Roles and Role.Participants as navigation properties.
However, the model has been generated with ParticipantsRole and you want to get rid of it. (Or not, I'll get back to that).
This is what you can do:
Remove ParticipantRoles from the class diagram.
Modify the database table ParticipantRoles so it only has the two FK columns, that both form the primary key.
Update the model from the database and select ParticipantsRole in the Add tab.
This should give you a model with a pure many-to-many association.
However, think twice before you do this. M2m associations have a way of evolving into 1-m-1association (as you've got now). The reason is that sooner or later the need is felt to record data about the association, so the junction table must have more fields and stops being a pure junction table. In your case I can imagine that one day participant's roles must have a fixed order, or one marked as default. It can be a major overhaul to change a m2m association into 1-m-1 in a production environment. - Something to consider...
I have two entities:
Patient
- firstName
- lastName
- scheduledAppointments <---->> Appointment
Appointment
- date
- times
- scheduledPatient <<----> Patient
Basically I have one Patient with many appointments. How do I set the scheduledPatient in the Appointments entity? I've tried this so far:
[self.appointment setScheduledPatient:[self.patientArray objectAtIndex:indexPath.row]];
self.appointment.scheduledPatient = [self.patientArray objectAtIndex:indexPath.row];
They work when I'm editing an appointment. But it returns a SIGBRT when I'm adding a new appointment.
Your code seems to be correct.
Therefore I suppose that most likely you have not defined the inverse relation properly in the .xcdatamodel file.
For what I understand you have a one-to-many relationships. That is, one Patient may have a number of Appointments. Therefore, an appointment belongs to one patient. In order for this relation to be semantically correct, you need to let it know how they relate to each other. In order to do so you need to specify what is the inverse element of each of the elements in the relation.
In the picture below you can see how a Region may have a number of states, and a state belongs uniquely to a region. Notice the arrow connecting the elements of the relation, how the "many" has a double arrow and the "one" has a single arrow.
I believe that you most likely forgot to specify this in the xcdatamodel file.
Check out this link for more information:https://developer.apple.com/library/mac/#documentation/Cocoa/Conceptual/CoreData/Articles/cdRelationships.html
Inverse Relationships
Most relationships are inherently bi-directional. If a Department has a to-many relationship to the Employees that work in a Department, there is an inverse relationship from an Employee to the Department. The major exception is a fetched property, which represents a weak one-way relationship—there is no relationship from the destination to the source (see “Fetched Properties”).
You should typically model relationships in both directions, and specify the inverse relationships appropriately. Core Data uses this information to ensure the consistency of the object graph if a change is made (see “Manipulating Relationships and Object Graph Integrity”). For a discussion of some of the reasons why you might not want to model a relationship in both directions, and some of the problems that might arise if you don’t, see “Unidirectional Relationships.”
Me and a database architect were having argument over if a table with a compound primary key with subtypes made sense relationally and if it was a good practice.
Say we have two tables Employee and Project. We create a composite table Employee_Project with a composite primary key back to Employee and Project.
Is there a valid way for Employee_Project to have subtypes? Or can you think of any scenario where a composite key table can have subtypes?
To me a composite key relationship is a 'Is A' relationship (Employee_Project is a Employee and a Project). Subtypes are also a 'Is A' relationship. So if you have a composite key with a subtype its two 'Is A' relationships in one sentence which makes me believe this is a bad practice.
Employee-project is a bit hard, but one can imagine something like this -- although I'm not much of a chemist.
Or something like this, which would require different legal forms (fields) for single person ownership vs joint (time-share).
Or like this, providing that different forms are needed for full time and temp.
Employee projects have subtypes if the candidate subtypes are
not utterly different, but
not exactly alike
That means that
Every employee project has some
attributes (columns) in common. So they're not utterly different.
Some employee projects have different
attributes than others. So they're not exactly alike.
The determination has to do with common and distinct attributes. It doesn't have anything to do with the number of columns in a candidate key. Do you have employee projects that are not utterly different, but not exactly alike?
The most common business supertype/subtype example concerns organizations and individuals. They're not utterly different.
Both have addresses.
Both have phone numbers.
Both can be plaintiffs and defendants
in court.
But they're not exactly alike.
Individuals can go to college.
Organizations can have a CEO.
Individuals can get married.
Individuals can have children.
Organizations (in the USA) can be liquidated.
So you can express individuals and organizations as subtypes of a supertype called, say, "Parties". The attributes all the subtypes have in common relate to the supertype.
Parties have addresses.
Parties have phone numbers.
Parties can be plaintiffs and defendants
in court.
Again, this has to do with attributes that are held in common, and attributes that are distinct. It has nothing to do with the number of columns in a candidate key.
To me a composite key relationship is
a 'Is A' relationship
(Employee_Project is a Employee and a
Project).
Database designers don't think that way. We think in terms of a table's predicate.
If an employee can have many projects and a project can have many employees it is a many-to-many join that RDBM's can only represent easily in one way (the way you have outlined above.) You can see in the ER diagram below (employee / departments is one of the classic many-to-many examples) that it does not have a separate ER component. The separate table is a leaky abstraction of RDBMS's (which is probably why you are having a hard time modeling it).
http://www.library.cornell.edu/elicensestudy/dlfdeliverables/fallforum2003/ERD_final.doc
Bridge Entities
When an instance of an entity may be related to multiple instances of another entity and vice versa, that is called a “many-to-many relationship.” In the example below, a supplier may provide many different products, and each type of product may be offered by many suppliers:
While this relationship model is perfectly valid, it cannot be translated directly into a relational database design. In a relational database, relationships are expressed by keys in a table column that point to the correct instance in the related table. A many-to-many relationship does not allow this relationship expression, because each record in each table might have to point to multiple records in the other table.
http://users.csc.calpoly.edu/~jdalbey/205/Lectures/ERD_image004.gif
Here they do not event bother with a separate box although they add in later (at this step it is a 'pure' ER diagram). It can also be explicitly represented with a box and a diamond superimposed on each other.
I'm reading Pro JPA 2. The book talks begins by talking about ORM in the first few pages.
It talks about mapping a single Java class named Employee with the following instance variables - id,name,startDate, salary.
It then goes on to the issue of how this class can be represented in a relational database and suggests the following scheme.
table A: emp
id - primary key
startDate
table B: emp_sal
id - primary key in this table, which is also a foreign key referencing the 'id' column in table A.
It thus seems to suggest that persisting an Employee instance to the database would require operations on two(multiple) tables.
Should the Employee class have an instance variable 'salary' in the first place?
I think it should possibly belong to a separate class (Class salary maybe?) representing salary and thus the example doesn't seem very intuitive.
What am I missing here?
First, the author explains that there are multiples ways to represent a class in a database: sometimes the mapping of a class to a table is straightforward, sometimes you don't have a direct correspondence between attributes and columns, sometimes a single class is represented by multiples tables:
In scenario (C), the EMP table has
been split so that the salary
information is stored in a separate
EMP_SAL table. This allows the
database administrator to restrict
SELECT access on salary information to
those users who genuinely require it.
With such a mapping, even a single
store operation for the Employee class
now requires inserts or updates to two
different tables.
So even storing the data from a single class in a database can be a challenging exercise.
Then, he describes how relationships are different. At the object level model, you traverse objects via their relations. At the relational model level, you use foreign keys and joins (sometimes via a join table that doesn't even exist at the object model level).
Inheritance is another "problem" and can be "simulated" in various ways at the relational model level: you can map an entire hierarchy into a single table, you can map each concrete class to its own table, you can map each class to its own table.
In other words, there is no direct and unique correspondence between an object model and a relational model. Both rely on different paradigms and the fit is not perfect. The difference between both is known as the impedance mismatch, which is something ORM have to deal with (allowing the mapping between an object model and the many possible representations in a relation model). And this is what the whole section you're reading is about. This is also what you missed :)