Entity Framework 5 Updating a Record

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db.Users.Attach(updatedUser);
var entry = db.Entry(updatedUser);
entry.Property(e => e.Email).IsModified = true;
// other changed properties
db.SaveChanges();

I really like the accepted answer. I believe there is yet another way to approach this as well. Let's say you have a very short list of properties that you wouldn't want to ever include in a View, so when updating the entity, those would be omitted. Let's say that those two fields are Password and SSN.

db.Users.Attach(updatedUser);

var entry = db.Entry(updatedUser);
entry.State = EntityState.Modified;

entry.Property(e => e.Password).IsModified = false;
entry.Property(e => e.SSN).IsModified = false;   

db.SaveChanges();   

This example allows you to essentially leave your business logic alone after adding a new field to your Users table and to your View.

foreach(PropertyInfo propertyInfo in original.GetType().GetProperties()) {
    if (propertyInfo.GetValue(updatedUser, null) == null)
        propertyInfo.SetValue(updatedUser, propertyInfo.GetValue(original, null), null);
}
db.Entry(original).CurrentValues.SetValues(updatedUser);
db.SaveChanges();

I have added an extra update method onto my repository base class that's similar to the update method generated by Scaffolding. Instead of setting the entire object to "modified", it sets a set of individual properties. (T is a class generic parameter.)

public void Update(T obj, params Expression<Func<T, object>>[] propertiesToUpdate)
{
    Context.Set<T>().Attach(obj);

    foreach (var p in propertiesToUpdate)
    {
        Context.Entry(obj).Property(p).IsModified = true;
    }
}

And then to call, for example:

public void UpdatePasswordAndEmail(long userId, string password, string email)
{
    var user = new User {UserId = userId, Password = password, Email = email};

    Update(user, u => u.Password, u => u.Email);

    Save();
}

I like one trip to the database. Its probably better to do this with view models, though, in order to avoid repeating sets of properties. I haven't done that yet because I don't know how to avoid bringing the validation messages on my view model validators into my domain project.

public interface IRepository
{
    void Update<T>(T obj, params Expression<Func<T, object>>[] propertiesToUpdate) where T : class;
}

public class Repository : DbContext, IRepository
{
    public void Update<T>(T obj, params Expression<Func<T, object>>[] propertiesToUpdate) where T : class
    {
        Set<T>().Attach(obj);
        propertiesToUpdate.ToList().ForEach(p => Entry(obj).Property(p).IsModified = true);
        SaveChanges();
    }
}

Just to add to the list of options. You can also grab the object from the database, and use an auto mapping tool like Auto Mapper to update the parts of the record you want to change..

Depending on your use case, all the above solutions apply. This is how i usually do it however :

For server side code (e.g. a batch process) I usually load the entities and work with dynamic proxies. Usually in batch processes you need to load the data anyways at the time the service runs. I try to batch load the data instead of using the find method to save some time. Depending on the process I use optimistic or pessimistic concurrency control (I always use optimistic except for parallel execution scenarios where I need to lock some records with plain sql statements, this is rare though). Depending on the code and scenario the impact can be reduced to almost zero.

For client side scenarios, you have a few options

Use view models. The models should have a property UpdateStatus(unmodified-inserted-updated-deleted). It is the responsibility of the client to set the correct value to this column depending on the user actions (insert-update-delete). The server can either query the db for the original values or the client should send the original values to the server along with the changed rows. The server should attach the original values and use the UpdateStatus column for each row to decide how to handle the new values. In this scenario I always use optimistic concurrency. This will only do the insert - update - delete statements and not any selects, but it might need some clever code to walk the graph and update the entities (depends on your scenario - application). A mapper can help but does not handle the CRUD logic Use a library like breeze.js that hides most of this complexity (as described in 1) and try to fit it to your use case.

Hope it helps

There are some really good answers given already, but I wanted to throw in my two cents. Here is a very simple way to convert a view object into a entity. The simple idea is that only the properties that exist in the view model get written to the entity. This is similar to @Anik Islam Abhi's answer, but has null propagation.

public static T MapVMUpdate<T>(object updatedVM, T original)
{
    PropertyInfo[] originalProps = original.GetType().GetProperties();
    PropertyInfo[] vmProps = updatedVM.GetType().GetProperties();
    foreach (PropertyInfo prop in vmProps)
    {
        PropertyInfo projectProp = originalProps.FirstOrDefault(x => x.Name == prop.Name);
        if (projectProp != null)
        {
            projectProp.SetValue(original, prop.GetValue(updatedVM));
        }
    }
    return original;
}

Pros

Views don't need to have all the properties of the entity.

You never have to update code when you add remove a property to a view.

Completely generic

Cons

2 hits on the database, one to load the original entity, and one to save it.

To me the simplicity and low maintenance requirements of this approach outweigh the added database call.