kubukoz / slick-effect   0.5.0


Making Slick more functional with cats-effect.

Scala versions: 2.13 2.12 2.11


Continuous Integration Maven Central License

Compatibility tools for Slick + cats-effect. Released for Scala 2.12 and 2.13.


Add the dependency. SBT:

"com.kubukoz" %% "slick-effect" % "0.4.0",
// for the LiftIO instance
"com.kubukoz" %% "slick-effect-catsio" % "0.4.0"






Import the instances:

import slickeffect.implicits._

//an implicit EC is needed for cpu-bound work on DBIOs (map, flatMap)
import scala.concurrent.ExecutionContext.Implicits.global

//the instances will be in implicit scope
scala> Sync[slick.dbio.DBIO]
res0: Sync[slick.dbio.package.DBIO] = slickeffect.DBIOSync@434c179e

Cats Effect 1.x/2.x -> 3.x migration guide

Cats Effect 3 changes the hierarchy of the type classes that are available, in a way that only lets us implement Sync and LiftIO. This means we're losing the old Async.

To work around that limitation and ensure you can still combine Async with DBIO somehow, you can do one of these two things:

  • Given an Async[F] for some F[_] (like IO), use slickeffect.liftEffectToDBIO to get a Resource[F, F ~> DBIO], which you can .use and pass the value inside it whenever you need a conversion
  • Use LiftIO[DBIO] from the new catsio module, which serves as a IO ~> DBIO without a resource. This one requires an IORuntime, a non-implicit one is provided inside IOApp, so you can pass that when defining this instance.

These should be useful to anyone who was using Async[DBIO] previously - for example, if you were instantiating a Tagless Final algebra that required Async:

trait Client[F[_]] {
  def call: F[Unit]

def asyncClient[F[_]: Async]: Client[F] = ...

It is now impossible to directly get a Client[DBIO], because of the Async constraint. However, it is still possible to get to that instance through IO or any other type that you have a ~> DBIO for:

val ioClient: Client[IO] = asyncClient[IO]

implicit val clientFunctorK: FunctorK[Client] = Derive.functorK

val dbioClient: Client[DBIO] = ioClient.mapK(slickeffect.liftToDBIO[IO])

FunctorK and Derive come from cats-tagless (Derive.functorK is a macro from the macros module). A manually written instance of FunctorK would also work (these are usually trivial to write). For more complicated interfaces, such as ones that have methods taking F[_]-shaped arguments, check out other type classes in cats-tagless (InvariantK, ContravariantK, etc.).

For a full usage of this pattern, check the examples.

[EXPERIMENTAL] Transactor (from 0.3.0-M2 onwards)

You can use slick-effect to run your DBIOs. This functionality is experimental, and the API may change.

If you still want to use it, add a dependency on the transactor module:

"com.kubukoz" %% "slick-effect-transactor" % "0.4.0"

Create a transactor:

val transactorResource: Resource[IO, Transactor[IO]]
  .fromDatabase[IO](IO(Database.forURL("jdbc:h2:mem:"))) //or .fromDatabaseConfig
  .map(_.configure(config.transactionally)) //or any DBIO ~> DBIO

val result: DBIO[Int] = ???

transactorResource.use { tx =>
  tx.transact(result): IO[Int]