I'd like to know what should be the signature of my methods so that I handle different kind of failures elegantly.
This question is somehow the summary of many questions I already had about error handling in Scala. You can find some questions here:
For now, I understand the following:
Repository layer
Now please consider that I have a UserRepository
. The UserRepository
stores the users and defines a findById
method. The following failures could happen:
OutOfMemoryError
)Additionally, the user could be missing, leading to an Option[User]
result
Using a JDBC implementation of the repository, SQL, non-fatal exceptions (constraint violation or others) can be thrown so it can make sense to use Try.
As we are dealing with IO operations, then the IO monad also makes sense if we want pure functions.
So the result type could be:
Try[Option[User]]
IO[Option[User]]
Service layer
Now let's introduce a business layer, UserService
, which provides some method updateUserName(id,newUserName)
that uses the previously defined findById
of the repository.
The following failures could happen:
Then the result type could be:
Try[Either[BusinessError,User]]
IO[Either[BusinessError,User]]
BusinessError here is not a Throwable because it is not an exceptional failure.
Using for-comprehensions
I would like to keep using for-comprehensions to combine method calls.
We can't easily mix different monads on a for-comprehension, so I guess I should have some kind of uniform return type for all my operations right?
I just wonder how do you succeed, in your real world Scala applications, to keep using for-comprehensions when different kind of failures can happen.
For now, for-comprehension works fine for me, using services and repositories which all return Either[Error,Result]
but all different kind of failures are melted together and it becomes kind of hacky to handle these failures.
Do you define implicit conversions between different kind of monads to be able to use for-comprehensions?
Do you define your own monads to handle failures?
By the way perhaps I'll be using an asynchronous IO driver soon.
So I guess my return type could be even more complicated: IO[Future[Either[BusinessError,User]]]
Any advice would be welcome because I don't really know what to use, while my application is not fancy: it is just an API where I should be able to make a distinction between business errors that can be shown to the client side, and technical errors. I try to find an elegant and pure solution.
This is what Scalaz's EitherT
monad transformer is for. A stack of IO[Either[E, A]]
is equivalent to EitherT[IO, E, A]
, except that the former must be handled as multiple monads in sequence, whereas the latter is automatically a single monad that adds Either
capabilities to the base monad IO
. You can likewise use EitherT[Future, E, A]
to add non-exceptional error handling to asynchronous operations.
Monad transformers in general are the answer to a need to mix multiple monads in a single for
-comprehension and/or monadic operation.
EDIT:
I will assume you are using Scalaz version 7.0.0.
In order to use the EitherT
monad transformer on top of the IO
monad, you first need to import the relevant parts of Scalaz:
import scalaz._, scalaz.effect._
You also need to define your error types: RepositoryError
, BusinessError
, etc. This works as usual. You just need to make sure that you can, e.g., convert any RepositoryError
into a BusinessError
and then pattern match to recover the exact type of error.
Then the signatures of your methods become:
def findById(id: ID): EitherT[IO, RepositoryError, User]
def updateUserName(id: ID, newUserName: String): EitherT[IO, BusinessError, User]
Within each of your methods, you can use the EitherT
-and-IO
-based monad stack as a single, unified monad, available in for
-comprehensions as usual. EitherT
will take care of threading the base monad (in this case IO
) through the whole computation, while also handling errors the way Either
usually does (except already right-biased by default, so you don't have to constantly deal with all the usual .right
junk). When you want to do an IO
operation, all you have to do is raise it into the combined monad stack by using the liftIO
instance method on IO
.
As a side note, when working this way, the functions in the EitherT
companion object can be very useful.