We've got a code first approach in our application. We have a simple hierarchy similar to this:
SuperSpecializedPerson extends SpecializedPerson extends (abstract) Person
We've got two repositories for SuperSpecializedPerson and SpecializedPerson.
When querying for SuperSpecializedPerson, the returned entities are the wanted ones.
When querying for SpecializedPerson, all SpecializedPerson as well as SuperSpecializedPerson (as an instances of SpecializedPerson) are being returned. This is my issue.
Checking the SQL query is see this part of code WHERE ([Extent1].[Discriminator] IN (N''SuperSpecializedPerson '',N''SpecializedPerson'')), where I'd like to have WHERE ([Extent1].[Discriminator] IN (N''SpecializedPerson'')).
How can I get only SpecializedPerson?
[edit] I'll give some more context to my issue to figure out if I am on the wrong track altogether:
I have to return a list of DTOs of the same type from the backend to the frontend. The DTOs are being created with Automapper according to the specified mapping profiles.
First I query for SuperSpecializedPerson, map them to DTO, then the same happens for SpecializedPerson and concatenate both lists. After merging, I get two instances of all SuperSpecializedPerson (once with only the SpecializedPerson properties).
The described model has been defined according to the current knowledge and will probably in future to have a second class extending SpecializedPerson.
This happens because SuperSpecializedPerson is also a SpecializedPerson. This a fundamental aspect of inheritance. A cat is an animal. The keyword is includes derived types.
Query with
context.SpecializedPersons.Where(p => !(p is SuperSpecializedPerson));
Another approach not as performing as this one but also working with additional derived types in future, is to filter with LINQ-to-Objects
context.SpecializedPersons
.Where(p => /* other filters go here */)
.AsEnumerable() // Switches to LINQ to Objects
.Where(p => p.GetType() == typeof(SpecializedPerson));
Your edit says that the problem is the mapping with automapper. See automapper documentation for Mapping Inheritance. Especially the part with Runtime polymorphism.
Related
I have a long-time burning question about how to avoid null errors with data queried via Entity Framework (version 6 - not Core yet, sadly).
Let's say you have a table Employees, and it has a relationship with another table, EmployeePayments (one employee has many employee payments).
On your Employee domain object you create a property TotalPayments which relies on you having loaded the EmployeePayments for that object.
I try to ensure that any time I do a query, I "include" the dependency, for example:
var employees = context.Employees.Include(e => e.EmployeePayments);
The problem is, I have a lot of queries around the place (I use the generic repository pattern, so I call repository functions like GetAll or GetSingle from my service library), and so that's a lot of places to remember to add the includes. If I don't include them, I run the risk of having a null exception if the TotalPayments property is used.
What's the best way to handle this?
Note 1: we have a lot of tables and I don't really want to have to revert to using specific repositories for each one, we take advantage of the generic repository in a lot of ways.... but I will be happy to hear strong arguments for the alternative :)
Note 2: I do not have lazy loading turned on, and don't plan on turning it on, for performance reasons.
This is one reason I consider the Generic Repository an anti-pattern for EF. I use a repository pattern, but scope it like I would a controller. I.e. a CreateOrderController would have a CreateOrderRepository. This repository would provide access to all relevant entities via IQueryable. Common stuff like lookups etc. would have their own secondary repository. Using generic repositories that are geared to working with a single entity type mean adding references to several repositories to do specific things and running into issues like this when attempting to load entities. Sometimes you want related data, sometimes you don't. Simply adding convenient methods in top level entities effectively "breaks" that an object should always be considered complete or complete-able without relying on lazy-loading which brings significant performance costs.
Having repositories return IQueryable avoids many of the problems by giving control to the calling code how entities are consumed. For instance I don't put helper methods in the entities, but rather code needing to populate a view model relies on Linq to build the view model. If my view model wants a sum of payments for an employee, then my repository returning IQueryable can do the following:
public IQueryable<Employee> GetEmployeeById(int employeeId)
{
return Context.Employees.Where(x => x.EmployeeId == employeeId);
}
then in the controller / service:
using (var contextScope = ContextScopeFactory.Create())
{
var employeeViewModel = EmployeeRepository.GetEmployeeById(employeeId)
.Select(x => new EmployeeSummaryViewModel
{
EmployeeId = x.EmployeeId,
EmployeeName = x.LastName + ", " + x.FirstName,
TotalPayments = x.Payments.Where(p => p.IsActive).Sum(p => p.Amount)
}).Single();
}
I use a repository because it is easier to mock out than the DbContext and it's DbSets. For Synchronous code I just have the mock to populate and return List<Employee>().AsQueryable(). For Async code I need to add a wrapper for an Async List.
This pattern may go against more traditional views of a repository and separation of concerns that the calling code needs to "know" about the entities, that EF-isms are leaked. However, no matter what approach you try to rationalize to get around the inefficiencies of trying to "hide" EF behind a repository, either you will be left with very inefficient code where repositories return pre-populated DTOs or contain dozens of near identical methods to return different DTOs (or worse, entities in various degrees of completeness) or you are adding complexities like passing in magic strings or expression trees into your methods to tell EF how to filter, how to sort, what to include, paging, etc. Passing in expressions or strings requires the calling code to "know" about the entities and leaks EF restrictions. (Passed in expressions / strings still have to be able to be ultimately understood by EF)
So this may not be a viable answer to the current state of your project, but it might be worth looking into whether your dependency on the repositories can be better managed without splitting them with the Generic pattern, and/or leveraging EF's excellent IQueryable / Linq capabilities to let your controllers/services project the entities into view models / DTOs rather than embedding these reduce elements in the entities themselves.
I am using Entity Framework 6 DBFirst, MVC5 and AutoMapper.
I have 2 tables, Customers and CustomerContacts
For each class I have in Entity Framework EDMX (auto-generated) I have a Model class with the exact same properties. i.e. Customer => Model.Customer, CustomerContact => Model.CustomerContact. This is why I use AutoMapper.
Question 1: Since my Customer_Get stored procedure returns an auto-generated complex type (Customer_Get_Result) would most people make an additional model class for this also? (Model.Customer_Get_Result.cs) Or are all of the properties supposed to get combined adding everything to Model.Customer?
Question 2: Is the way I am handling mapping for Customer Contacts below correct? Mostly every property in Model.Customer is exactly the same as the AutoGenerated EF6 DBFirst file except for this which I placed in Model.Customer:
public List<CustomerContact> Contacts { get; set; }
In the end I want to be able to use Customer.Contacts to automatically get a list of all that Customer's contacts
In my AutoMapper I am trying to do something like this but don't think this is correct:
CreateMap<Customer, Model.Customer>()
.ForMember(dest => dest.Contacts, opt => opt.MapFrom(src => src.CustomerContact));
//map for customer getlist stored proc which will be returning several fields
//such as TotalCount, RowNumber, fields from a bunch of other tables
CreateMap<Customer_Get_Result, Model.Customer>();
For a stored procedure's complex type (Customer_Get_Result) would most
people make an additional model class for this also?
If it is exactly same properties as Customer, then I probably wouldn't create a model just for it, and just map it to the existing model.
Although it depends on what you are doing with this Model class, and whether the use case for the data mapped from the entity is any different than the data mapped from the stored procedure. Model's are just a fancy term for POCO. Models are often one of two things. A simplification of the entity, that is closer to a POCO than the EF entity is; such as DTO's you might use between your business layer and database layer. Or it is a specialization for a particular context, such as a ViewModel that has only properties needed for a particular view and often includes things like data annotations that are UI specific.
It depends alot on how your application is layered and what part of the application is retrieving data, and what it plans to do with that data. That said, I'd probably start with just using the same Model and see if I feel a need to rafactor later(but you'll still need 2 mappings, one from SP_Complex_Type -> Model, and one Entity -> Model).
Looks like your DB/EF model only has a single related contact from Customer.CustomerContact, but your model has a one-to-many relationship Model.Customer.Contacts. I'm basing this only on the plurality of the property name since you didn't give us any declarations of your entity. Either way there's a mismatch on the relationship your EF entity supports versus the relationship your Model supports. There's alot of different things you can do here with AutoMapper, but you can't make that decision until you figure why one has a list of related contacts, and the other only has a single related contact.
CreateMap<Customer, Model.Customer>()
.ForMember(dest => dest.Contacts, opt => opt.MapFrom(src => src.CustomerContact));
When mapping a list to a list, and the properties are named differently, then the above is exactly what you would do. Additionally if the types in each list are different, then you need to make sure your previously declared a map for those types as well. For example, if you are going from List<CustomerContactEntity> to List<CustomerContactModel> then you need to have already done a CreateMap<CustomerContactEntity,CustomerContactModel> to tell AutoMapper it can convert these types. This way as it encounters each item in the list, it will see that it has a mapping for that child type.
I have inherited a code base that uses DTOs in the business layer, these are populated via a set of mappers from Entity Framework. This has some quite serious limitation in terms of querying so I am working on a new "optimised" querying service.
My first issue is that I need to translate my LINQ query on my DTO to work with my Entity object but the calling context has no knowledge of the EF entities. Let's assume we can rely on the properties on each object having matching names.
This is where I have got to in terms of stubbing out what I want:
public static List<TDataObject> GetFiltered<TDataObject(Expression<Func<TDataObject, TDataObject>> projection, Func<TDataObject, bool> filter)
{
// 1. translate the filter parameter to work with my equivalent Entity object
// 2. build the EF query with the modified filter expression and also a Select() projection so we only return the properties we need. (this should generate an optimised SQL query under the hood)
// 3. map the results from the EF query back onto my TDataObject and return (I already have AutoMapper maps in place for this)
}
It is item 1 that I am struggling with so if anyone has any code examples for blogs posts for achieving this I'd appreciate it.
Also if anyone has any alternate suggestions I'd be happy to hear them.
One way to handle this is to build primitives around queries (instead of layers with repositories etc). Here's what we do:
http://lostechies.com/jimmybogard/2013/10/29/put-your-controllers-on-a-diet-gets-and-queries/
The calling code (controller) knows about a query and the result (DTO), but the piece doing the mapping knows exactly about EF Context/NHibernate ISession. Works very well for us and keeps our controllers light and thin.
Alternatively, get rid of your layers, and expose the EF objects directly:
var dtos = context.Employees.Where(e => e.IsActive)
.Project().ToArray<EmployeeShowViewModel>();
Put this in the controller because who cares, layers and abstractions are productivity preventers and time wasters.
I'm using Entity Framework 5 with ObjectContext on a relatively big and complex data model.
I would like to work around big queries generated when chaining multiple IQueryable.Include(Path) to eager load related objects.
For example, I'm doing something like this :
var queryPe = context.Person.Where(p => p.Id == 110).Include(#"AA");
queryPe = queryPe.Include(#"BB.CC.DD");
queryPe = queryPe.Include(#"EE.FF");
It could be made generic by using a string array and chaining each graph at runtime in a foreach loop.
Instead, I would like to do something like this :
Person pe = context.Person.Where(p => p.Id == 110).First();
context.LoadProperty(pe, "AA");
pe.BB.Attach(pe.BB.CreateSourceQuery().Include(#"CC.DD"));
pe.EE.Attach(pe.EE.CreateSourceQuery().Include(#"FF"));
Instead of having one big query we would have 4 smaller queries hitting the database.
Of course I still want to leverage the power of the graph path as a string.
I may be wrong, but this means that I should use relexion to get the navigation properties by name and executing the CreateSourceQuery() on it because there is no such extension method to do this.
Am I correct ?
EDIT 1 : Well, I have an additionnal constraint, that is, I'm using Self Tracking Entities (STE). This means that Related objects are not materialized as EntityCollection or EntityReference. So Attach() and CreateSourceQuery() are not available !
So I'm stuck with Context.LoadProperty to deal with object graphs.
Is it only possible ?
EDIT 2 : Problem exposed in EDIT 1 solved, thanks to the help of DbContext class. See the code below :
Person pe = context.Person.Where(p => p.Id == 110).First();
context.LoadProperty(pe, "AA");
DbContext dbc = new DbContext(context, false);
dbc.Entry(pe).Collection(#"BB").Query().Include(#"CC.DD").Load();
dbc.Entry(pe).Reference(#"EE").Query().Include(#"FF").Load();
EDIT 3 02/11/2013 : There is an issue with the code presented above (EDIT 2). If the last entity in the path is a reference and not a collection, the code doesn't fail but it is not loaded :-(
EDIT 4 : Instead of using reflection, right now, I'm generating the code by looking at the Entity Data Model with the help of a T4 template.
Sometimes stored procedures are best. Write a stored procedure that returns multiple result sets, one for each type of entity you wish to eagerly load. This is highly performant compared to what you're trying to accomplish and the stored procedure will be far more readable than this jumble of includes and separate load statements per reference/collection. And yes, EF will hook up related entities automatically!
Here's a reference for sprocs with multiple result sets for both EDMX and code first:
http://msdn.microsoft.com/en-us/data/jj691402.aspx
Try to separate your aggregates in multiple contexts. Each Bounded context should have a separate context. This way you create a loosely coupled entity framework solution.
Julie Lerman has a good video on plural sight about this concept.
I would prefer to use stored procedures. Easy maintainance, works faster etc.
I'm reading about the Entity Framework 4.0 and I was wondering why should I create a complex type and not a new Entity (Table) and a relation between them?
The perfect example is an address. Using a complex type for an address is much easier to deal with than a new entity. With complex types you do not have to deal with the Primary Key. Think about accessing an address how many common types of entities would have an address (Business Units, People, Places). Imagine populating many peoples addresses and needing to set a key for each one. With complex types you simply access the internal properties of they type and you're done. Here is an MSDN link of an example. http://msdn.microsoft.com/en-us/library/bb738613.aspx
This question has been here a while already, but I'm going to add an answer anyway in the hopes that the next poor sob that comes along knows what he's in for.
Complex types do not support lazy loading, at least not in EF 4.3. Let's take the address situation as an example. You have a Person table with 15 columns, 5 of which contain address information for certain individuals. It has 50k records. You create entity Person for the table with a complex type Address.
If you need a list of names of all individuals in your database you would do
var records = context.Persons;
which also includes addresses, pumping 5*50k values into your list for no reason and with noticeable delay. You could opt to only load the values you need in an anonymous type with
var records = from p in context.Persons
select new {
LastName = p.LastName,
FirstName = p.FirstName,
}
which works well for this case, but if you needed a more comprehensive list with, say, 8 non-address columns you would either need to add each one in the anonymous type or just go with the first case and go back to loading useless address data.
Here's the thing about anonymous types: While they are very useful within a single method, they force you to use dynamic variables elsewhere in your class or class children, which negate some of Visual Studio's refactoring facilities and leave you open to run-time errors. Ideally you want to circulate entities among your methods, so those entities should carry as little baggage as possible. This is why lazy loading is so important.
When it comes to the above example, the address information should really be in a table of its own with a full blown entity covering it. As a side benefit, if your client asks for a second address for a person, you can add it to your model by simply adding an extra Address reference in Person.
If unlike the above example you actually need the address data in almost every query you make and really want to have those fields in the Person table, then simply add them to the Person entity. You won't have the neat Address prefix any more, but it's not exactly something to lose sleep over.
But wait, there's more!
Complex types are a special case, a bump on the smooth landscape of plain EF entities. The ones in your project may not be eligible to inherit from your entity base class, making it impossible to put them through methods dealing with your entities in general.
Assume that you have an entity base class named EntityModel which defines a property ID. This is the key for all your entity objects, so you can now create
class EntityModelComparer<T> : IEqualityComparer<T> where T : EntityModel
which you then can use with Distinct() to filter duplicates from any IQueryable of type T where T is an entity class. A complex type can't inherit from EntityModel because it doesn't have an ID property, but that's fine because you wouldn't be using distinct on it anyway.
Further down the line you come across a situation where you need some way to go through any entity and perform an operation. Maybe you want to dynamically list the properties of an entity on the UI and let the user perform queries on them. So you build a class that you can instantiate for a particular type and have it take care of the whole thing:
public class GenericModelFilter<T> : where T : EntityModel
Oh wait, your complex type is not of type EntityModel. Now you have to complicate your entity inheritance tree to accommodate complex types or get rid of the EntityModel contract and reduce visibility.
Moving along, you add a method to your class that based on user selections can create an expression that you can use with linq to filter any entity class
Expression<Func<T, bool>> GetPredicate() { ... }
so now you can do something like this:
personFilter = new GenericModelFilter<Person>();
companyFilter = new GenericModelFilter<Company>();
addressFilter = new GenericModelFilter<Address>(); //Complex type for Person
...
var query = from p in context.Persons.Where(personFilter.GetPredicate())
join c in context.Companies.Where(companyFilter.GetPredicate()) on p.CompanyID = c.ID
select p;
This works the same for all entity objects... except Address with its special needs. You can't do a join for it like you did with Company. You can navigate to it from Person, but how do you apply that Expression on it and still end up with Person at the end? Now you have to take moment and figure out this special case for a simple system that works easily everywhere else.
This pattern repeats itself throughout the lifetime of a project. Do I speak from experience? I wish I didn't. Complex types keep stopping your progress, like a misbehaved student at the back of the class, without adding anything of essence. Do yourself a favor and opt for actual entity objects instead.
Based on Domain Driven Design Concepts, Aggregate root could have one or more internal objects as its parts. In this case, Internal objects - inside the boundary of Aggregate Root - does not have any KEY. The parent key will be applied to them or somehow like this. Your answer returns to the benefit of keeping all Parts inside Aggregate root that makes your model more robust and much simpler.