Getting Started
Add the following to your build.sbt:
libraryDependencies += "org.typelevel" %% "cats-effect" % "3.5.7"
Naturally, if you're using ScalaJS, you should replace the double %%
with a triple %%%
. If you're on Scala 2, it is highly recommended that you enable the better-monadic-for plugin, which fixes a number of surprising elements of the for
-comprehension syntax in the Scala language:
addCompilerPlugin("com.olegpy" %% "better-monadic-for" % "0.3.1")
It is recommended to enable warnings for non-unit statements (see FAQ):
scalacOptions += "-Wnonunit-statement"
Alternatively, you can use the Cats Effect 3 Giter8 template, which sets up some basic project infrastructure:
$ sbt new typelevel/ce3.g8
To create a new Cats Effect application, place the following contents into a new Scala file within your project:
import cats.effect.{IO, IOApp}
object HelloWorld extends IOApp.Simple {
val run = IO.println("Hello, World!")
}
Once you have saved this file, you should be able to run your application using sbt run
, and as expected, it will print Hello, World!
to standard out. Applications written in this style have full access to timers, multithreading, and all of the bells and whistles that you would expect from a full application. For example, here's a very silly version of FizzBuzz which runs four concurrent lightweight threads, or fibers, one of which counts up an Int
value once per second, while the others poll that value for changes and print in response:
import cats.effect.{IO, IOApp}
import scala.concurrent.duration._
// obviously this isn't actually the problem definition, but it's kinda fun
object StupidFizzBuzz extends IOApp.Simple {
val run =
for {
ctr <- IO.ref(0)
wait = IO.sleep(1.second)
poll = wait *> ctr.get
_ <- poll.flatMap(IO.println(_)).foreverM.start
_ <- poll.map(_ % 3 == 0).ifM(IO.println("fizz"), IO.unit).foreverM.start
_ <- poll.map(_ % 5 == 0).ifM(IO.println("buzz"), IO.unit).foreverM.start
_ <- (wait *> ctr.update(_ + 1)).foreverM.void
} yield ()
}
We will learn more about constructs like start
and *>
in later pages, but for now notice how easy it is to compose together concurrent programs based on simple building blocks. Additionally, note the reuse of the wait
and poll
programs. Because we're describing our program as a value (an IO
), we can reuse that value as part of many different programs, and it will continue to behave the same regardless of this duplication.
REPL
Of course, the easiest way to play with Cats Effect is to try it out in a Scala REPL. We recommend using Ammonite for this kind of thing. To get started, run the following lines (if not using Ammonite, skip the first line and make sure that Cats Effect and its dependencies are correctly configured on the classpath):
import $ivy.`org.typelevel::cats-effect:3.5.7`
import cats.effect.unsafe.implicits._
import cats.effect.IO
val program = IO.println("Hello, World!")
program.unsafeRunSync()
Congratulations, you've just run your first IO
within the REPL! The unsafeRunSync()
function is not meant to be used within a normal application. As the name suggests, its implementation is unsafe in several ways, but it is very useful for REPL-based experimentation and sometimes useful for testing.
Cancelling a long-running REPL task
unsafeRunCancelable()
is another variant to launch a task, that allows a long-running task to be cancelled. This can be useful to clean up long or infinite tasks that have been spawned from the REPL.
import cats.effect.unsafe.implicits._
import cats.effect.IO
lazy val loop: IO[Unit] = IO.println("loop until cancel..") >> IO.sleep(2.seconds) >> loop
val cancel = loop.unsafeRunCancelable()
unsafeRunCancelable
starts the loop task running, but also emits an invocable handle value which when invoked (ie cancel()
) cancels the loop. This can be useful when running in SBT with the console
command, where by default terminating the REPL doesn't terminate the process, and thus the task will remain executing in the background.
Testing
Munit
The easiest way to write unit tests which use Cats Effect is with MUnit and MUnit Cats Effect. To get started, add the following to your build.sbt:
libraryDependencies += "org.typelevel" %% "munit-cats-effect-3" % "1.0.6" % Test
With this dependency, you can now write unit tests which directly return IO
programs without being forced to run them using one of the unsafe
functions. This is particularly useful if you're either using ScalaJS (where the fact that the unsafe
functions block the event dispatcher would result in deadlock), or if you simply want your tests to run more efficiently (since MUnit can run them in parallel):
import cats.effect.{IO, SyncIO}
import munit.CatsEffectSuite
class ExampleSuite extends CatsEffectSuite {
test("make sure IO computes the right result") {
IO.pure(1).map(_ + 2) flatMap { result =>
IO(assertEquals(result, 3))
}
}
}
Weaver-test
Weaver is a test-framework built directly on top of Cats Effect. It is designed specifically to handle thousands of tests exercising I/O layers (http, database calls) concurrently. Weaver makes heavy use of the concurrency constructs and abstractions provided by Cats Effect to safely share resources (clients) across tests and suite, and runs all tests in parallel by default.
To get started, add the following to your build.sbt:
libraryDependencies += "com.disneystreaming" %% "weaver-cats" % "0.7.6" % Test
testFrameworks += new TestFramework("weaver.framework.CatsEffect")
Similarly to MUnit, this setup allows you to write your tests directly against IO
.
import cats.effect.IO
import weaver._
object ExampleSuite extends SimpleIOSuite {
test("make sure IO computes the right result") {
IO.pure(1).map(_ + 2) map { result =>
expect.eql(result, 3)
}
}
}
Other Testing Frameworks
If neither MUnit nor Weaver are your speed, the Cats Effect Testing library provides seamless integration with most major test frameworks. Specifically:
- ScalaTest
- Specs2
- µTest
- MiniTest
Simply add a dependency on the module which is appropriate to your test framework of choice. For example, Specs2:
libraryDependencies += "org.typelevel" %% "cats-effect-testing-specs2" % "1.2.0" % Test
Once this is done, you can write specifications in the familiar Specs2 style, except where each example may now return in IO
:
import cats.effect.IO
import cats.effect.testing.specs2.CatsEffect
import org.specs2.mutable.Specification
class ExampleSpec extends Specification with CatsEffect {
"my example" should {
"make sure IO computes the right result" in {
IO.pure(1).map(_ + 2) flatMap { result =>
IO(result mustEqual 3)
}
}
}
}
ScalaCheck
Special support is available for ScalaCheck properties in the form of the ScalaCheck Effect project. This library makes it possible to write properties using a special forAllF
syntax which evaluate entirely within IO
without blocking threads.