One to one relation using entity framework - database

I am working on a group project where an one on one relation in Entity framework is defined like this
builder.Entity<ApprovedAppointment>()
.HasOne(aa => aa.Appointment)
.WithOne(a => a.ApprovedAppointment)
.HasForeignKey<ApprovedAppointment>(a => a.ApprovedAppointmentId);
using fluent api. In the database the appointment primary key is the same as approvedAppointment primary key. For example, if appointmentId 5 is the first appointment to be accepted then the approvedAppointmentId is also 5 even though there are no other approvedAppointments inserted yet. Is this normal behaviour? Does anyone know why it works like this?

Yes, this the default mapping behaviour because you are pointing the FK at the PK of the table. You could remove the .HasForeignKey() altogether in that configuration.
The HasForeignkey() is available in EF Core to allow you to nominate a configured one-to-one relationship key in either of the tables to point at the PK of the other.
For example, you could put an "AppointmentId" in your ApprovedAppointment table, or an "ApprovedAppointmentId" in your Appointment table then map the ForeignKey accordingly:
.HasForeignKey<ApprovedAppointment>(aa => aa.AppointmentId);
or
.HasForeignKey<Appointment>(a => a.ApprovedAppointmentId);
respectively.
This would allow Appointment to have an AppointmentId of 5, while ApprovedAppointment's ApprovedAppointmentId is 1 or 2, but contains an AppointmentId FK of 5 to reference back to the Appointment.
Typically in a 1-to-1 relationship the two tables would just share the same PK to ensure the relationship is 1-to-1. With the alternate FK designated you are mapping either a 1-to-many or many-to-1 relationship that EF will enforce as 1-to-1. I'm not sure if EF Code First will set up a unique constraint on the FK column, but if not, you should add one to enforce it at a data level.

Related

Cannot make relation between composite key of primary key and foreign key

I have two tables:
"Projects", that have three (3) field. One composite key of two (2) fields: Donor_Source & Project_Number and Project title
Please note that Donor_Source field is indexed as Yes(Duplicates OK) and Project_Number field is indexed as Yes(No Duplicates).
It has to be this way because a donor can support multiple projects.
Lastly there is also the PRF_Table, it has many fields but since I want to relate it to the Project table, I made two fields that are used as foreign keys of Projects table:
Please note that both fields of the foreign key are indexed as: NO.
As I was trying to relate the two tables, I managed to relate of project field from both tables but could not relate the donor source field of both tables:
As can be seen from the picture above, I managed to get many:1 relation between PRF_Table & Project, which is correct. PRF_Table can have many records on a specific project, but that project is listed only once in the Project table
The problem rises when trying to relate the Donor_Source field: I always get indeterminate relation (something that I want to avoid). I guess the problem might be because the Donor_Source field in the Project table, although indexed, it still can have duplicates and it of course has duplicates in the PRF_Table.
What should I do in order to get many:1 relation (PRF_Table:Projects)?
All fields in a compound key must be addressed to create referential integrity.
Thus, you must:
Create field Agrmnt_ID in PRF_Table and include that in the relation to the junction table.
Include field Donor_Source in PRF_Table in the relation to table Projects.
You are not required to create a field for Agrmnt_ID in your PRF_Table to have referential integrity. What you are doing so far between PRF_Table and PRF-PO_Junction_Table is fine.
Regarding the link between Projects and PRF_Table, it appears that your intentions are for each record in Projects to be able to relate to multiple records in PRF_Table. If so, then your solution is to change your Primary Key in Projects and consequently your relationship between the two tables.
In table Projects, remove your current composite Primary Key and create a single AutoNumber field (i.e. named ProjectID) as your Primary Key.
Now, in the Projects table, create your unique index on the Donor_Source and Project_Number fields (a composite, unique index), which will give you the same effect as your current composite Primary Key scenario, each Donor can be on multiple Projects, but the same Donor can't be on the same Project more than once.
Now, you will create the same field in PRF_Table that you created as your new Primary Key in Projects from step 1 (i.e. ProjectID)
Create your relationship between your new Primary Key in Projects and your new field in PRF_Table. This will allow every Project/Donor record in Projects to have multiple records in PRF_Table.
Composite Primary Keys are most useful in junction tables, like how you are using one with PRF-PO_Junction_Table. However, in any other link, you want try and have a single Primary Key field and use just a unique composite index to enforce uniqueness in two or more fields.

Entity Framework won't resolve PK-FK relationship with composite primary key?

I'm trying to set up an EDM on an existing SQL Server infrastructure, and came across a problem.
The EDM will not resolve a PK-FK relationship to a composite foreign key.
My DB table structure looks something like this (names changed to protect the innocent):
I have a PERSONS table containing an INT column called PerID (PK)
I have an OFFICE table containing an INT column called OffID (PK)
I am tying these tables together using a table called OFFICEPERSONS, creating a many-to-many relationship between PERSONS and OFFICE. This table has two INT columns, PerID and OffID, which together form a composite primary key.
I have a table called OFFICELOCATION that contains two INT columns, LocID and OffID. These two columns comprise a composite primary key. Additionally, OffID is also a FK to the OFFICE table.
Finally, I have a table called OFFICEPERSONSLOCATION. This table has three INT columns: PerID, OffID, and LocID. All three columns comprise a composite primary key. LocID and OffID provide a FK relationship to OFFICELOCATION, and OffID and PerID provide a FK relationship to OFFICEPERSONS.
With me so far? Hopefully, I haven't lost you yet. When all is said and done, my structure looks like this:
This structure works great in SQL Server. In EDM? Not so much. It will NOT allow me to construct the relation between OFFICEPERSONSLOCATION and OFFICEPERSONS. I get the following error:
Error 6037: Foreign key constraint 'FK_OFFICEPERSONSLOCATION_OFFICEPERSONS' has been omitted from the storage model. Column 'OffID' of table 'Model.Store.OFFICEPERSONSLOCATION' is a foreign key participating in multiple relationships. A one-to-one Entity Model will not validate since data inconsistency is possible.
Huh? Data inconsistency?!? How?
How do I get my entity framework to recognize this?
I agree that it is the entity framework's problem, and the problem is stupid. Even if you have the UPDATE CASCADE to "no action", it is not like you could create an inconsistency, but no, it claims that you can somehow.
In any case, in this situation, if you are willing to use surrogate keys instead of composite keys, you can get around this, because the only place to change the ID reference is in the main table.
In this case, OffID could be "inconsistent", but by using ID's in the OFFICEPERSONS and OFFICELOCATIONS tables (and therefore reference in OFFICEPERSONSLOCATION), you are forced to have the OffId managed in its primary table.

How to implement this data structure in SQL tables

I have a problem that can be summarized as follow:
Assume that I am implementing an employee database. For each person depends on his position, different fields should be filled. So for example if the employee is a software engineer, I have the following columns:
Name
Family
Language
Technology
CanDevelopWeb
And if the employee is a business manager I have the following columns:
Name
Family
FieldOfExpertise
MaximumContractValue
BonusRate
And if the employee is a salesperson then some other columns and so on.
How can I implement this in database schema?
One way that I thought is to have some related tables:
CoreTable:
Name
Family
Type
And if type is one then the employee is a software developer and hence the remaining information should be in table SoftwareDeveloper:
Language
Technology
CanDevelopWeb
For business Managers I have another table with columns:
FieldOfExpertise
MaximumContractValue
BonusRate
The problem with this structure is that I am not sure how to make relationship between tables, as one table has relationship with several tables on one column.
How to enforce relational integrity?
There are a few schools of thought here.
(1) store nullable columns in a single table and only populate the relevant ones (check constraints can enforce integrity here). Some people don't like this because they are afraid of NULLs.
(2) your multi-table design where each type gets its own table. Tougher to enforce with DRI but probably trivial with application or trigger logic.
The only problem with either of those, is as soon as you add a new property (like CanReadUpsideDown), you have to make schema changes to accommodate for that - in (1) you need to add a new column and a new constraint, in (2) you need to add a new table if that represents a new "type" of employee.
(3) EAV, where you have a single table that stores property name and value pairs. You have less control over data integrity here, but you can certainly constraint the property names to certain strings. I wrote about this here:
What is so bad about EAV, anyway?
You are describing one ("class per table") of the 3 possible strategies for implementing the category (aka. inheritance, generalization, subclass) hierarchy.
The correct "propagation" of PK from the parent to child tables is naturally enforced by straightforward foreign keys between them, but ensuring both presence and the exclusivity of the child rows is another matter. It can be done (as noted in the link above), but the added complexity is probably not worth it and I'd generally recommend handling it at the application level.
I would add a field called EmployeeId in the EmployeeTable
I'd get rid of Type
For BusinessManager table and SoftwareDeveloper for example, I'll add EmployeeId
From here, you can then proceed to create Foreign Keys from BusinessManager, SoftwareDeveloper table to Employee
To further expand on your one way with the core table is to create a surrogate key based off an identity column. This will create a unique employee id for each employee (this will help you distinguish between employees with the same name as well).
The foreign keys preserve your referential integrity. You wouldn't necessarily need EmployeeTypeId as someone else mentioned as you could filter on existence in the SoftwareDeveloper or BusinessManagers tables. The column would instead act as a cached data point for easier querying.
You have to fill in the types in the below sample code and rename the foreign keys.
create table EmployeeType(
EmployeeTypeId
, EmployeeTypeName
, constraint PK_EmployeeType primary key (EmployeeTypeId)
)
create table Employees(
EmployeeId int identity(1,1)
, Name
, Family
, EmployeeTypeId
, constraint PK_Employees primary key (EmployeeId)
, constraint FK_blahblah foreign key (EmployeeTypeId) references EmployeeType(EmployeeTypeId)
)
create table SoftwareDeveloper(
EmployeeId
, Language
, Technology
, CanDevelopWeb
, constraint FK_blahblah foreign key (EmployeeId) references Employees(EmployeeId)
)
create table BusinessManagers(
EmployeeId
, FieldOfExpertise
, MaximumContractValue
, BonusRate
, constraint FK_blahblah foreign key (EmployeeId) references Employees(EmployeeId)
)
No existing SQL engine has solutions that make life easy on you in this situation.
Your problem is discussed at fairly large in "Practical Issues in Database Management", in the chapter on "entity subtyping". Commendable reading, not only for this particular chapter.
The proper solution, from a logical design perspective, would be similar to yours, but for the "type" column in the core table. You don't need that, since you can derive the 'type' from which non-core table the employee appears in.
What you need to look at is the business rules, aka data constraints, that will ensure the overall integrity (aka consistency) of the data (of course whether any of these actually apply is something your business users, not me, should tell you) :
Each named employee must have exactly one job, and thus some job detail somewhere. iow : (1) no named employees without any job detail whatsoever and (2) no named employees with >1 job detail.
(3) All job details must be for a named employee.
Of these, (3) is the only one you can implement declaratively if you are using an SQL engine. It's just a regular FK from the non-core tables to the core table.
(1) and (2) could be defined declaratively in standard SQL, using either CREATE ASSERTION or a CHECK CONSTRAINT involving references to other tables than the one the CHECK CONSTRAINT is defined on, but neither of those constructs are supported by any SQL engine I know.
One more thing about why [including] the 'type' column is a rather poor choice to make : it changes how constraint (3) must be formulated. For example, you can no longer say "all business managers must be named employees", but instead you'd have to say "all business managers are named employees whose type is <type here>". Iow, the "regular FK" to your core table has now become a reference to a VIEW on your core table, something you might want to declare as, say,
CREATE TABLE BUSMANS ... REFERENCES (SELECT ... FROM CORE WHERE TYPE='BM');
or
CREATE VIEW BM AS (SELECT ... FROM CORE WHERE TYPE='BM');
CREATE TABLE BUSMANS ... REFERENCES BM;
Once again something SQL doesn't allow you to do.
You can use all fields in the same table, but you'll need an extra table named Employee_Type (for example) and here you have to put Developer, Business Manager, ... of course with an unique ID. So your relation will be employee_type_id in Employee table.
Using PHP or ASP you can control what field you want to show depending the employee_type_id (or text) in a drop-down menu.
You are on the right track. You can set up PK/FK relationships from the general person table to each of the specialized tables. You should add a personID to all the tables to use for the relationship as you do not want to set up a relationship on name because it cannot be a PK as it is not unique. Also names change, they are a very poor choice for an FK relationship as a name change could cause many records to need to change. It is important to use separate tables rather than one because some of those things are in a one to many relationship. A Developer for instnce may have many differnt technologies and that sort of thing should NEVER be stored in a comma delimted list.
You could also set up trigger to enforce that records can only be added to a specialty table if the main record has a particular personType. However, be wary of doing this as you wil have peopl who change roles over time. Do you want to lose the history of wha the person knew when he was a developer when he gets promoted to a manager. Then if he decides to step back down to development (A frequent occurance) you would have to recreate his old record.

Composite keys in a Multi-tenant database

I'm designing a database for pure multi-tenancy (one database, one schema) and I'd like to keep a Tenant_Id in most of my tables as a security measure to ensure that data doesn't fall into the wrong tenant's hands. It seems like this would require a composite key on every table.
Example:
Under single-tenant circumstances, I would have a single primary key:
Animal_Id (PK)
Animal_Type
Animal_Name
Under Multi-tenant circumstances, I would add another primary key for Tenant_Id:
Animal_Id (PK)
Tenant_Id (PK)
Animal_Type
Animal_Name
Does adding a Tenant_Id column to every table mean that I will need to have a composite key in every table, or is there a secure way to avoid this? Composite keys are ok, but I'd like to avoid them if I can.
If all your ids are autoincremented integers, you can add tenant_id which is not a part of the primary key and just check for it in all your queries.
However, this has several side effects which you may or may not see as drawbacks:
You can possibly link two entities from different tenants in a many-to-many link table and the FOREIGN KEY constraint won't prevent you from doing this (as it would in case tenant_id were a part of the PRIMARY KEY)
Your users can evaluate how many other tenants are there from the ids
You will have to additionally join the entity tables to the searches which could possibly be done only from many-to-many link tables (to check the tenant)
In other words, if you really don't like composite keys for entities, it is possible to design the database without them.
Unless you are repeating the other id per customer (you could have two or more animal_id = 1) there is no real reason to make it a composite key. You can just add the field. That's works for us.
Do you really need to support two different tenants having the same ANIMAL_ID value? Whatever mechanism you're using to generate what appear to be synthetic primary key values should be able to generate values that are unique across tenants. Adding a TENANT_ID column to the table would potentially make sense but it's not obvious that adding it to the primary key would be beneficial.

Designing a conditional database relationship in SQL Server

I have three basic types of entities: People, Businesses, and Assets. Each Asset can be owned by one and only one Person or Business. Each Person and Business can own from 0 to many Assets. What would be the best practice for storing this type of conditional relationship in Microsoft SQL Server?
My initial plan is to have two nullable foreign keys in the Assets table, one for People and one for Businesses. One of these values will be null, while the other will point to the owner. The problem I see with this setup is that it requires application logic in order to be interpreted and enforced. Is this really the best possible solution or are there other options?
Introducing SuperTypes and SubTypes
I suggest that you use supertypes and subtypes. First, create PartyType and Party tables:
CREATE TABLE dbo.PartyType (
PartyTypeID int NOT NULL identity(1,1) CONSTRAINT PK_PartyType PRIMARY KEY CLUSTERED
Name varchar(32) CONSTRAINT UQ_PartyType_Name UNIQUE
);
INSERT dbo.PartyType VALUES ('Person'), ('Business');
SuperType
CREATE TABLE dbo.Party (
PartyID int identity(1,1) NOT NULL CONSTRAINT PK_Party PRIMARY KEY CLUSTERED,
FullName varchar(64) NOT NULL,
BeginDate smalldatetime, -- DOB for people or creation date for business
PartyTypeID int NOT NULL
CONSTRAINT FK_Party_PartyTypeID FOREIGN KEY REFERENCES dbo.PartyType (PartyTypeID)
);
SubTypes
Then, if there are columns that are unique to a Person, create a Person table with just those:
CREATE TABLE dbo.Person (
PersonPartyID int NOT NULL
CONSTRAINT PK_Person PRIMARY KEY CLUSTERED
CONSTRAINT FK_Person_PersonPartyID FOREIGN KEY REFERENCES dbo.Party (PartyID)
ON DELETE CASCADE,
-- add columns unique to people
);
And if there are columns that are unique to Businesses, create a Business table with just those:
CREATE TABLE dbo.Business (
BusinessPartyID int NOT NULL
CONSTRAINT PK_Business PRIMARY KEY CLUSTERED
CONSTRAINT FK_Business_BusinessPartyID FOREIGN KEY REFERENCES dbo.Party (PartyID)
ON DELETE CASCADE,
-- add columns unique to businesses
);
Usage and Notes
Finally, your Asset table will look something like this:
CREATE TABLE dbo.Asset (
AssetID int NOT NULL identity(1,1) CONSTRAINT PK_Asset PRIMARY KEY CLUSTERED,
PartyID int NOT NULL
CONSTRAINT FK_Asset_PartyID FOREIGN KEY REFERENCES dbo.Party (PartyID),
AssetTag varchar(64) CONSTRAINT UQ_Asset_AssetTag UNIQUE
);
The relationship the supertype Party table shares with the subtype tables Business and Person is "one to zero-or-one". Now, while the subtypes generally have no corresponding row in the other table, there is the possibility in this design of having a Party that ends up in both tables. However, you may actually like this: sometimes a person and a business are nearly interchangeable. If not useful, while a trigger to enforce this will be fairly easily done, the best solution is probably to add the PartyTypeID column to the subtype tables, making it part of the PK & FK, and put a CHECK constraint on the PartyTypeID.
The beauty of this model is that when you want to create a column that has a constraint to a business or a person, then you make the constraint to the appropriate table instead of the party table.
Also, if desired, turning on cascade delete on the constraints can be useful, as well as an INSTEAD OF DELETE trigger on the subtype tables that instead delete the corresponding IDs from the supertype table (this guarantees no supertype rows that have no subtype rows present). These queries are very simple and work at the entire-row-exists-or-doesn't-exist level, which in my opinion is a gigantic improvement over any design that requires checking column value consistency.
Also, please notice that in many cases columns that you would think should go in one of the subtype tables really can be combined in the supertype table, such as social security number. Call it TIN (taxpayer identification number) and it works for both businesses and people.
ID Column Naming
The question of whether or not to call the column in the Person table PartyID, PersonID, or PersonPartyID is your own preference, but I think it's best to call these PersonPartyID or BusinessPartyID—tolerating the cost of the longer name, this avoids two types of confusion. E.g., someone unfamiliar with the database sees BusinessID and doesn't know this is a PartyID, or sees PartyID and doesn't know it is restricted by foreign key to just those in the Business table.
If you want to create views for the Party and Business tables, they can even be materialized views since it's a simple inner join, and there you could rename the PersonPartyID column to PersonID if you were truly so inclined (though I wouldn't). If it's of great value to you, you can even make INSTEAD OF INSERT and INSTEAD OF UPDATE triggers on these views to handle the inserts to the two tables for you, making the views appear completely like their own tables to many application programs.
Making Your Proposed Design Work As-Is
Also, I hate to mention it, but if you want to have a constraint in your proposed design that enforces only one column being filled in, here is code for that:
ALTER TABLE dbo.Assets
ADD CONSTRAINT CK_Asset_PersonOrBusiness CHECK (
CASE WHEN PersonID IS NULL THEN 0 ELSE 1 END
+ CASE WHEN BusinessID IS NULL THEN 0 ELSE 1 END = 1
);
However, I don't recommend this solution.
Final Thoughts
A natural third subtype to add is organization, in the sense of something that people and businesses can have membership in. Supertype and subtype also elegantly solve customer/employee, customer/vendor, and other problems similar to the one you presented.
Be careful not to confuse "Is-A" with "Acts-As-A". You can tell a party is a customer by looking in your order table or viewing the order count, and may not need a Customer table at all. Also don't confuse identity with life cycle: a rental car may eventually be sold, but this is a progression in life cycle and should be handled with column data, not table presence--the car doesn't start out as a RentalCar and get turned into a ForSaleCar later, it's a Car the whole time. Or perhaps a RentalItem, maybe the business will rent other things too. You get the idea.
It may not even be necessary to have a PartyType table. The party type can be determined by the presence of a row in the corresponding subtype table. This would also avoid the potential problem of the PartyTypeID not matching the subtype table presence. One possible implementation is to keep the PartyType table, but remove PartyTypeID from the Party table, then in a view on the Party table return the correct PartyTypeID based on which subtype table has the corresponding row. This won't work if you choose to allow parties to be both subtypes. Then you would just stick with the subtype views and know that the same value of BusinessID and PersonID refer to the same party.
Further Reading On This Pattern
Please see A Universal Person and Organization Data Model for a more complete and theoretical treatment.
I recently found the following articles to be useful for describing some alternate approaches for modeling inheritance in a database. Though specific to Microsoft's Entity Framework ORM tool, there's no reason you couldn't implement these yourself in any DB development:
Table Per Hierarchy
Table Per Type (this is what I advocate above as the only fully normalized method of implementing inheritance in a database)
Table Per Concrete Class
Or a more brief overview of these three ways: How to choose an inheritance strategy
P.S. I have switched, more than once, my opinion on column naming of IDs in subtype tables, due to having more experience under my belt.
You don't need application logic to enforce this. The easiest way is with a check constraint:
(PeopleID is null and BusinessID is not null) or (PeopleID is not null and BusinessID is null)
You can have another entity from which Person and Business "extend". We call this entity Party in our current project. Both Person and Business have a FK to Party (is-a relationship). And Asset may have also a FK to Party (belongs to relationship).
With that said, if in the future an Asset can be shared by multiple instances, is better to create m:n relationships, it gives flexibility but complicates the application logic and the queries a bit more.
ErikE's answer gives a good explanation on how to go about the supertype / subtype relationship in tables and is likely what I'd go for in your situation, however, it doesn't really address the question(s) you've posed which are also interesting, namely:
What would be the best practice for storing this type of conditional relationship in Microsoft SQL Server?
...are there other options?
For those I recommend this blog entry on TechTarget which has an excerpt from excerpt from "A Developer's Guide to Data Modeling for SQL Server, Covering SQL Server 2005 and 2008" by Eric Johnson and Joshua Jones which addresses 3 possible options.
In summary they are:
Supertype Table - Almost matches what you've proposed, have a table with some fields that will always be null when others are filled. Good when only a couple of fields aren't shared. So depending on how different Business and People are you could possibly combine them into one table, Owners perhaps, and then just have OwnerID in your Asset table.
Subtype Tables - Basically the opposite of what Supertype tables are and is what you have just now. Here we have lots of unique fields and maybe one or two the same so we just have the repeated fields appear in each table. As you are finding this isn't really suitable for your situation.
Supertype and Subtype Tables - A combination of both of the above where the matching fields are placed in a single table and the unique ones in separate tables and matching IDs are used to join the record from one table to the other. This matches ErikE's proposed solution and, as mentioned, is the one I would favour as well.
Sadly it doesn't go on to explain which, if any, are best practice but it is certainly a good read to get an idea of the options that are out there.
YOu can enforce the logic with a trigger instead. Then no matter how the record is changed, only one of the fileds will be filled in.
You could also have a PeopleAsset table and a BusinessAsset table, but stillwould have the problem of enforcing that only one of them has a record.
An asset would have a foreign key to the owning person, and you should setup an association table to link assets and businesses. As said in other comments, you can use triggers and/or constraints to ensure that the data stays in a consistent state. ie. when you delete a business, delete the lines in your association table.
Table People, Businesses both can use UUID as primary key, and union both to a view for sql join purpose.
so you can simply use one foreign key column in Assets relation to both People and Businesses, because UUID is nearly unique. And you can simply query like:
select * from Assets
join view_People_Businesses as v on v.id = Assets.fk

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