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Serializing complex EF model over JSON

I have done a lot of searching and experimenting and have been unable to find a workable resolution to this problem.
Environment/Tools
Visual Studio 2013
C#
Three tier web application:
Database tier: SQL Server 2012
Middle tier: Entity Framework 6.* using Database First, Web API 2.*
Presentation tier: MVC 5 w/Razor, Bootstrap, jQuery, etc.
Background
I am building a web application for a client that requires a strict three-tier architecture. Specifically, the presentation layer must perform all data access through a web service. The presentation layer cannot access a database directly. The application allows a small group of paid staff members to manage people, waiting lists, and the resources they are waiting for. Based on the requirements the data model/database design is entirely centered around the people (User table).
Problem
When the presentation layer requests something, say a Resource, it is related to at least one User, which in turn is related to some other table, say Roles, which are related to many more Users, which are related to many more Roles and other things. The point being that, when I query for just about anything EF wants to bring in almost the entire database.
Normally this would be okay because of EF's default lazy-load behavior, but when serializing just about any object to JSON for returning to the presentation layer, the Newtonsoft.Json serializer hangs for a long time then blows a stack error.
What I Have Tried
Here is what I have attempted so far:
Set Newtonsoft's JSON serialier ReferenceLoopHandling setting to Ignore. No luck. This is not cyclic graph issue, it is just the sheer volume of data that gets brought in (there are over 20,000 Users).
Clear/reset unneeded collections and set reference properties to null. This showed some promise, but I could not get around Entity Framework's desire to track everything.
Just setting nav properties to null/clear causes those changes to be saved back to the database on the next .SaveChanges() (NOTE: This is an assumption here, but seemed pretty sound. If anyone knows different, please speak up).
Detaching the entities causes EF to automatically clear ALL collections and set ALL reference properties to null, whether I wanted it to or not.
Using .AsNotTracking() on everything threw some exception about not allowing non-tracked entities to have navigation properties (I don't recall the exact details).
Use AutoMapper to make copies of the object graph, only including related objects I specify. This approach is basically working, but in the process of (I believe) performing the auto-mapping, all of the navigation properties are accessed, causing EF to query and resolve them. In one case this leads to almost 300,000 database calls during a single request to the web service.
What I am Looking For
In short, has anyone had to tackle this problem before and come up with a working and performant solution?
Lacking that, any pointers for at least where to look for how to handle this would be greatly appreciated.
Additional Note: It occurred to me as I wrote this that I could possibly combine the second and third items above. In other words, set/clear nav properties, then automap the graph to new objects, then detach everything so it won't get saved (or perhaps wrap it in a transaction and roll it back at the end). However, if there is a more elegant solution I would rather use that.
Thanks,
Dave

It is true that doing what you are asking for is very difficult and it's an architectural trap I see a lot of projects get stuck in.
Even if this problem were solveable, you'd basically end up just having a data layer which just wraps the database and destroys performance because you can't leverage SQL properly.
Instead, consider building your data access service in such a way that it returns meaningful objects containing meaningful data; that is, only the data required to perform a specific task outlined in the requirements documentation. It is true that an post is related to an account, which has many achievements, etc, etc. But usually all I want is the text and the name of the poster. And I don't want it for one post. I want it for each post in a page. Instead, write data services and methods which do things which are relevant to your application.
To clarify, it's the difference between returning a Page object containing a list of Posts which contain only a poster name and message and returning entire EF objects containing large amounts of irrelevant data such as IDs, auditing data such as creation time.
Consider the Twitter API. If it were implemented as above, performance would be abysmal with the amount of traffic Twitter gets. And most of the information returned (costing CPU time, disk activity, DB connections as they're held open longer, network bandwidth) would be completely irrelevant to what developers want to do.
Instead, the API exposes what would be useful to a developer looking to make a Twitter app. Get me the posts by this user. Get me the bio for this user. This is probably implemented as very nicely tuned SQL queries for someone as big as Twitter, but for a smaller client, EF is great as long as you don't attempt to defeat its performance features.
This additionally makes testing much easier as the smaller, more relevant data objects are far easier to mock.

For three tier applications, especially if you are going to expose your entities "raw" in services, I would recommend that you disable Lazy Load and Proxy generation in EF. Your alternative would be to use DTO's instead of entities, so that the web services are returning a model object tailored to the service instead of the entity (as suggested by jameswilddev)
Either way will work, and has a variety of trade-offs.
If you are using EF in a multi-tier environment, I would highly recommend Julia Lerman's DbContext book (I have no affiliation): http://www.amazon.com/Programming-Entity-Framework-Julia-Lerman-ebook/dp/B007ECU7IC
There is a chapter in the book dedicated to working with DbContext in multi-tier environments (you will see the same recommendations about Lazy Load and Proxy). It also talks about how to manage inserts and updates in a multi-tier environment.

i had such a project which was the stressful one .... and also i needed to load large amount of data and process them from different angles and pass it to complex dashboard for charts and tables.
my optimization was :
1-instead of using ef to load data i called old-school stored procedure (and for more optimization grouping stuff to reduce table as much as possible for charts. eg query returns a table that multiple charts datasets can be extracted from it)
2-more important ,instead of Newtonsoft's JSON i used fastJSON which performance was mentionable( it is really fast but not compatible with complex object. simple example may be view models that have list of models inside and may so on and on or )
better to read pros and cons of fastJSON before
https://www.codeproject.com/Articles/159450/fastJSON
3-in relational database design who is The prime suspect of this problem it might be good to create those tables which have raw data to process in (most probably for analytics) denormalized schema which save performance on querying data.
also be ware of using model class from EF designer from database for reading or selecting data especially when u want serialize it(some times i think separating same schema model to two section of identical classes/models for writing and reading data in such a way that the write models has benefit of virtual collections came from foreign key and read models ignore it...i am not sure for this).
NOTE: in case of very very huge data its better go deeper and set up in-memory table OLTP for the certain table contains facts or raw data how ever in that case your table acts as none relational table like noSQL.
NOTE: for example in mssql you can use benefits of sqlCLR which let you write scripts in c#,vb..etc and call them by t-sql in other words handle data processing from database level.
4-for interactive view which needs load data i think its better to consider which information might be processed in server side and which ones can be handled by client side(some times its better to query data from client-side ... how ever you should consider that those data in client side can be accessed by user) how ever it is situation-wise.
5-in case of large raw data table in view using datatables.min.js is a good idea and also every one suggest using serverside-paging on tables.
6- in case of importing and exporting data from big files oledb is a best choice i think.
how ever still i doubt them to be exact solutions. if any body have practical solutions please mention it ;) .

I have fiddled with a similar problem using EF model first, and found the following solution satisfying for "One to Many" relations:
Include "Foreign key properties" in the sub-entities and use this for later look-up.
Define the get/set modifiers of any "Navigation Properties" (sub-collections) in your EF entity to private.
This will give you an object not exposing the sub-collections, and you will only get the main properties serialized. This workaround will require some restructuring of your LINQ queries, asking directly from your table of SubItems with the foreign key property as your filtering option like this:
var myFitnessClubs = context.FitnessClubs
?.Where(f => f.FitnessClubChainID == myFitnessClubChain.ID);
Note 1:
You may off-cause choose to implement this solution partly, hence only affecting the sub-collections that you strongly do not want to serialize.
Note 2:
For "Many to Many" relations, at least one of the entities needs to have a public representation of the collection. Since the relation cannot be retrieved using a single ID property.

How to save changes with Breeze without EF?

I'm working with repositories and one thing I'm really working hard on is to make things as most decoupled as they can. So, if tomorrow we change from relational databases to something else, like NoSQL and things like that we are good to go, we just have to change our DAL.
I've been trying to find out how to implement the SaveChanges method in my WebAPI controller without needing to use the EFContextProvider. I've found then the Breeze NoDb sample, however this sample uses the Breeze ContextProvider in the repository. This is something that troubles me because Breeze is a JS library, so it is something about the presentation of my application. In that case, making the repository use a component from Breeze will couple the DAL and the presentation, something I don't want to do.
Searching again for how to implement SaveChanges without EF I've found this question where there's one very good answer telling how to convert the SaveBundle to a SaveMap and then tell to use this to implement the saving logic. However I'm stuck in this method because the entries of the SaveMap give just one Type object and the EntityInfo, so I don't see how to use this with my repositories.
So, how to deal with SaveChanges without to refer to EFContextProvider and without coupling the repositories with the ContextProvider?

Are you planning to switch from SQL Server to NoSQL database? why don't you want to do that just now? How often are you planning to switch backing storage? Probably not often, if ever.
I found that database switch, especially from SQL to NoSQL is a big shift in paradigm. In one of my application I've gone through conversion from SQL to RavenDb. Despite of having everything decoupled and with using Repositories everywhere, I still had to rewrite most of the application storage logic.
What you are trying to do - you are not going to need it. So stop making life hard for yourself and get on with implementing features.

The ContextProvider does the work of converting the JObject (which Json.NET gives you in the SaveChanges method), into real, typed .NET objects. The EntityInfo object that the ContextProvider creates for each entity contains the entity object itself, as well as the entityAspect properties that it got from the client: the EntityState (Added, Modified, or Deleted), the original values of all changed properties, and the temporary values for any auto-generated keys. This is the information that you would need to save the entities yourself. The "SaveMap" just organizes them by Type for convenience, but you can manipulate them however you like.
As described in the post you referenced, you could proceed by using a ContextProvider just to convert the JObject to entities, then pass those entities to the appropriate repositories. Your repositories don't need to know anything about the ContextProvider.

Breeze offers an NHibernate provider that you can look at that shows how to talk to a non EF backend that is still a .NET server. The ContextProvider is a convenence that makes implementing any .NET provider substantially easier, but it is by no means a requirement.
As for NoSQL you should take a look at the breeze Node provider and MongoDB sample which is hosted in NodeJs ( which shows that the ContextProvider is obviously not a requirement).
We also expect to have a Breeze server implementation written in Java in the near future, which again has no "ContextProvider" requirement.

How to represent a MySQL database schema in C#?

The title is not so accurate, but I couldn't come up with a better one.
I’m trying to write a MySQL Connector for MS‘ Forefront Identity Manager (FIM is basically a sync engine that synchronizes identities between various data sources using a meta directory). But I’m having difficulties to come up with an appropriate design.
Let’s say I want to import user data from a db into FIM’s metaverse. A user object has various attributes like firstname, lastname, address etc. In the database these attributes can be distributed between multiple tables. FIM ultimately needs these attributes to be merged into one object. So the user needs to configure the connector to tell it how the data is stored in the DB.
I was wondering what would be the “best” way to represent this configuration. Two alternatives come to (my) mind:
I could just save a select query that merges/joins the data, so that the result is a single “table” with all the desired attributes. The problem with this is that I think I would have to do some kind of parsing on this query-string to create a fim-compatible-schema out of it (which is basically the name of the object type (f.e. “person”) and a list of attributes). This schema needs to be creatable from the query-string alone without actually executing the query (I could execute some fake queries if that would simplify the process).
I could create some classes to represent the database schema, i.e. the tables and relationships. Since I’m not that experienced with MySQL (or databases at all for that matter) I’m running the risk of missing some special cases. Also it might be some kind of overkill, since the schema can be assumed as fixed once it's configured.
Does anyone have same advice on which alternative to choose and how to tackle the problems that would come with it? Or is there another – better – alternative I didn’t think of? Any advice would be greatly appreciated!
If something is not clear, please let me know.
Edit: Since there have been some questions on the use case, I'm going to elaborate a bit:
As I've said, I'm developing a Management Agent for FIM. FIM provides a so called Extensible Connectivity Management Agent, which is basically one single class implementing a few interfaces. (See this technet guide for a sample implementation).
Since I want to develop a generic agent for managing identities in a MySQL database, I don't know the database layout at compile time. When the enduser wants to use the management agent, he needs to decide, which attributes of the identities he'd like to manage. So I need to give the user some way to configure the management agent. My main question is, how to design the classes to save this configuration.
Lets look at a simple example:
Say you want to manage employee identities. To keep it simple, we have three attributes:
firstName
lastName
department
In this example case it could be f.e. just one single table with 4 columns (the attributes plus an id). But it could also be the much better design, which uses two tables, one user table and one department table, using a 1:1 relation to define the users department.
FIM requires me to consolidate these attributes in one object. It provides a class CSEntryChange which has an AttributeChanges collection member. I would then create some instances of AttributeChange (which basically contains the attribute name und it's value) and add them to the collection. So the user-editable configuration must tell the management agent how it can get the users with all defined attributes from the db and how to create and modify users in that database.
So ideally I'd have an intance of some "MySQLSchema" class (which is configured by the user up front), that could return a List<CSEntryChange> (I wouldn't actually use the CSEntryChange class for the sake of decoupling, but you should get the point) that contains all users in the db (pagination might be a requirement but I can figure that out later). In addition I'd like to able to pass it a CSEntryChange which would result in the corresponding database entries beeing updated (or created if not yet present).
I hope this clear it up a bit more :)

I think that your real question is, "How to access MySQL entities over C#?"
To begin with, I hope you are building this in as a MVC application.
I would suggest sticking to a full Microsoft stack for purposes of learning and ease of implementation.
With this in mind, you will want to create an EntityFramework MySQL data provider in the following steps:
Create a new project and and EntityFramework either through the Nuget package manager UI or package manager console by typing Install-Package EntityFramework -Version 6.0.2 (and add a reference to this project from your web project). Look half way down the page for "Configure EntityFramework to work with a MySQL database".
Install the MySQL provider for entity framework through the Nuget package manager UI or by typing Install-Package MySql.Data.Entity in the package manager console
The next step requires understanding of db configuration changes, that are nicely detailed here - Configure EntityFramework to work with a MySQL database.
You should end up with a nice class structure which will allow you to traverse your entities' navigation properties through EF.
Depending on the level of security your application requires, you may also want to create data transfer objects (DTOs) that contains only the data required for your remote calls - keeping your data calls efficient.
This is by no means a definitive guide on how to do this, but hopefully gives you a start in the right direction.
With regards to your step #1 above:
I could just save a select query that merges/joins the data, so that
the result is a single “table” with all the desired attributes. The
problem with this is that I think I would have to do some kind of
parsing on this query-string to create a fim-compatible-schema out of
it (which is basically the name of the object type (f.e. “person”) and
a list of attributes). This schema needs to be creatable from the
query-string alone without actually executing the query (I could
execute some fake queries if that would simplify the process).
I am slightly confused by this. Are you saying that you want to dynamically update your database schema based application requests?

You can use NHibernate with MySQL, and NHibernate is a full featured ORM, where C# classess maps with your MySQL tables, and the rest will be a breeze, once you get a hang of NHibernate.
A sample is here for your reference.
http://www.codeproject.com/Articles/26123/NHibernate-and-MySQL-A-simple-example

When you use the MySQL Connector/Net you can also use Entity Framework like this example from MSDN:
using (var db = new BloggingContext())
{
// Create and save a new Blog
Console.Write("Enter a name for a new Blog: ");
var name = Console.ReadLine();
var blog = new Blog { Name = name };
db.Blogs.Add(blog);
db.SaveChanges();
}

I have some experience with .NET <-> MySQL communication and I've used Entity Framework in the past for the communication - I had a lot of problems with it and performance issues and soon came to regret using it (this was 1-2 years ago, so may be they fixed it up). Of course, using an ORM framework adds a layer on top of your db communication which in my case proved to be not desired in terms of performance and flexibility.
Finally, I chose to take the following approach:
1) Create models with POCO classes as you would do with Entity Framework. Those models may or may not include relationships - it is up to your preference. I prefer to only add the relationships when I actually need them (so some objects may have their db relationships in the POCO's and some may not). I chose this because it lowers the complexities of when to pre-load the relationships and when not. Basically, if you don't need it - don't add it.
2) Create DAL layer (for example, using the repository pattern) that accepts and works with those objects and fires direct queries to MySQL. No EF required for this - you just need to install the Connector/NET for MySQL and you are ready to go.
A quick example of this would be the following (note: example is of the top of my head and it is just to illustrate the classes. I would use command parameters as well to prevent injection and so on):
public class Person{
public string Name {get;set;}
}
public interface IPersonRepository{
void AddPerson(Person p);
}
public class PersonRepository{
public void AddPerson(Person p){
using(var connection = new MySqlConnection("some connection string"){
connection.Open();
var command = new MySqlCommand(connection);
command.Text = string.Format("insert into Person (Name) values ({0})", p.Name)l
command.ExecuteNonQuery();
}
}
}
The benefits of this approach for me are:
Performance - my application need to insert large amounts of data int MySQL. Entity Framework could not cope with this. If your application doesn't handle a lot of data you might be alright with EF.
Flexibility - writing my own queries allows me to have better control over the communication. You can choose, for example, to use bulk inserts in MySQL (from file - really powerful and fast when you need to handle large amounts of data) for which you will need to bypass Entity Framework. I also found out that EF generates some funky queries
The main drawback is, of course, more work - you will get some things for "free" with the Entity Framework.
So, I can recommend the following:
Consider the amounts of data that you need to handle and make a small exercise application with those amounts. How does EF (or any other ORM) handle it? What about direct queries to the database? That will give you a somewhat accurate idea of how the communication will perform.
Consider how much time you have for building this application - if you are looking for a quick solution and are willing to sacrifice a bit of performance - go for EF or another ORM framework. If you have more time on your hands and would like to make a flexible solution - go for direct queries to the database.
Good luck!

Use Entity Framework Code First.
http://msdn.microsoft.com/en-us/data/jj193542.aspx
It is still a lot of work, but I think this is the quickest approach.
Create a C# classes according to the user and create the DB schema from those classes.

Dynamic Custom Attributes with Entity Framework

OK,
This is probably not simple but I figured I would throw it out there:
I get the idea of extending an Model-First entity in EF with a partial class to add data annotation elements somthing like this:
[Required]
string MyString {get;set;}
However, if I am in a multi-tenant system where I may want to customize which fields are actually required when passed to the end client can I dynamically set the annotation depending on how the client has configured the setting, say in another table for instance?
Update: In the multi-tenant system there are at least two databases. One that stores system configuration information. In addition each customer would have their own individual database. The system DB controls routing and selecting the proper customer database from there.
Any insights or ideas anyone has on how to accomplish this would be great!
Thanks,
Brent

If you are using EF 4.1, you could create different DbContexts, referencing the same entities, but provide different mappings using the Fluent Api.
Here is a link to a video that describes using the api.
Fluent Api
Note: Your database would need to be setup to accommodate all the different configurations. For example, if in one context, "FirstName" is required, and in another it is not, your db should allow NULL in order to cope with both situations.

You can't change attributes dynamically.
One option would be to crate the types dynamically, probably inheriting some class (or implementing an interface), that you actually work with. Although I'm not sure this would work with EF.
Another possibility is if EF had another way you could tell it the same thing, but I don't know EF much, so I can't tell if something like that exists.

Exposing EF Model to a variety of clients

Hey guys, I hope everyone is doing well.
I have (more-less) a broad question referring to exposing a model to various clients.
Here is my situation: I have a model (sitting on top of Oracle) that is created using EF 4.0 and 3rd party Oracle provider. The model resides in a library so it can be easily referenced by multiple projects.
My goal is to make the model consumable by as many types of clients as possible:
.Net client code (Silverlight, WPF and ASP.Net, services, etc.).
MS Office apps (Excel)
Now, I don’t want to get into the business of creating custom methods over the Model (e.g. GetCustomersWhoAreVeryUpsetOrderedByUpsetRank()). I’d like to be able to expose the model in such way that the client code can decide (at run time) how to construct the queries. Should I take in IQueriable, execute it in a service and return the result data set? Or do I let the client do all the work via the model?
I did give oData a shot but it appears that the client side library used to write Linq queries against the model is rather limiting. In addition the protocol does not support updates.
So my question is what is the best approach/technology/implementation in exposing the Model based on the above mentioned criteria?
Many thanks in advance.

I'd advice you not to share your model 1:1 with your clients or reuse it 1:1 for different clients.
To share with stakeholders, use some simple DTOs. The mapping code can be created automatically with a CASE tool, T4 transformation or any other source code creation. If you share your own model, you run into problems as soon as you have to / want to refactor something or if one client has some specific requirements.
Almost same depends on the query methods from EF (the DAL). Define some DataMappers interfaces with common requirements and implement a default behavior. If you ever need your GetCustomersWhoAreVeryUpsetOrderedByUpsetRank(), you are sill fine since you can add this query to a data mapper deriving from the default mapper. With this approach the core system stays clear and reusable and each client is able to get her/his custom features.