I am just starting out with Unit testings and TDD in general. I have dabbled before but now I am determined to add it to my workflow and write better software.
I ask
I like to separate my filters from other portions of the code and test those as I outline on my blog here http://coding.grax.com/2013/08/testing-custom-linq-filter-operators.html
That being said, the filter logic being tested is not identical to the filter logic executed when the program is run due to the translation between the LINQ expression and the underlying query language, such as T-SQL. Still, this allows me to validate the logic of the filter. I don't worry too much about the translations that happen and things such as case-sensitivity and null-handling until I test the integration between the layers.
It is important to test what you are expecting entity framework to do (i.e. validate your expectations). One way to do this that I have used successfully, is using moq as shown in this example (to long to copy into this answer):
https://docs.microsoft.com/en-us/ef/ef6/fundamentals/testing/mocking
However be careful... A SQL context is not guaranteed to return things in a specific order unless you have an appropriate "OrderBy" in your linq query, so its possible to write things that pass when you test using an in-memory list (linq-to-entities) but fail in your uat / live environment when (linq-to-sql) gets used.
If you want to unit test code then you need to isolate your code you want to test (in this case your service) from external resources (e.g. databases). You could probably do this with some sort of in-memory EF provider, however a much more common way is to abstract away your EF implementation e.g. with some sort of repository pattern. Without this isolation any tests you write will be integration tests, not unit tests.
As for testing EF code - I write automated integration tests for my repositories that write various rows to the database during their initialization, and then call my repository implementations to make sure that they behave as expected (e.g. making sure that results are filtered correctly, or that they are sorted in the correct order).
These are integration tests not unit tests, as the tests rely on having a database connection present, and that the target database already has the latest up-to-date schema installed.
So here's the thing, Entity Framework is an implementation so despite the fact that it abstracts the complexity of database interaction, interacting directly is still tight coupling and that's why it's confusing to test.
Unit testing is about testing the logic of a function and each of its potential outcomes in isolation from any external dependencies, which in this case is the data store. In order to do that, you need to be able to control the behavior of the data store. For example, if you want to assert that your function returns false if the fetched user doesn't meet some set of criteria, then your [mocked] data store should be configured to always return a user that fails to meet the criteria, and vice versa for the opposite assertion.
With that said, and accepting the fact that EF is an implementation, I would likely favor the idea of abstracting a repository. Seem a bit redundant? It's not, because you are solving a problem which is isolating your code from the data implementation.
In DDD, the repositories only ever return aggregate roots, not DAO. That way, the consumer of the repository never has to know about the data implementation (as it shouldn't) and we can use that as an example of how to solve this problem. In this case, the object that is generated by EF is a DAO and as such, should be hidden from your application. This another benefit of the repository that you define. You can define a business object as its return type instead of the EF object. Now what the repo does is hide the calls to EF and maps the EF response to that business object defined in the repos signature. Now you can use that repo in place of the DbContext dependency that you inject into your classes and consequently, now you can mock that interface to give you the control that you need in order to test your code in isolation.
It's a bit more work and many thumb their nose at it, but it solves a real problem. There's an in-memory provider that was mentioned in a different answer that could be an option (I have not tried it), and its very existence is evidence of the need for the practice.
I completely disagree with the top answer because it sidesteps the real issue which is isolating your code and then goes on a tangent about testing your mapping. By all means test your mapping if you want to, but address the actual issue here and get some real code coverage.
In short I would say no, the juice is not worth the squeeze to test a service method with a single line that retrieves model data. In my experience people who are new to TDD want to test absolutely everything. The old chestnut of abstracting a facade to a 3rd party framework just so you can create a mock of that frameworks API with which you bastardise/extend so that you can inject dummy data is of little value in my mind. Everyone has a different view of how much unit testing is best. I tend to be more pragmatic these days and ask myself if my test is really adding value to the end product, and at what cost.