Resource

sealed abstract class Resource[F <: ([_$1] =>> Any), +A]
Resource is a data structure which encodes the idea of executing
an action which has an associated finalizer that needs to be run
when the action completes.
Examples include scarce resources like files, which need to be
closed after use, or concurrent abstractions like locks, which need
to be released after having been acquired.
There are several constructors to allocate a resource, the most
common is make:
{{{
def open(file: File): Resource[IO, BufferedReader] = {
val openFile = IO(new BufferedReader(new FileReader(file)))
Resource.make(acquire = openFile)(release = f => IO(f.close))
}
}}}
and several methods to consume a resource, the most common is
use:
{{{
def readFile(file: BufferedReader): IO[Content]
open(file1).use(readFile)
}}}
Finalisation (in this case file closure) happens when the action
passed to use terminates. Therefore, the code above is not
equivalent to:
{{{
open(file1).use(IO.pure).flatMap(readFile)
}}}
which will instead result in an error, since the file gets closed after
pure, meaning that .readFile will then fail.
Also note that a new resource is allocated every time use is called,
so the following code opens and closes the resource twice:
{{{
val file: Resource[IO, File]
file.use(read) >> file.use(read)
}}}
If you want sharing, pass the result of allocating the resource
around, and call use once.
{{{
file.use { file => read(file) >> read(file) }
}}}
The acquire and release actions passed to make are not
interruptible, and release will run when the action passed to use
succeeds, fails, or is interrupted. You can use makeCase
to specify a different release logic depending on each of the three
outcomes above.
It is also possible to specify an interruptible acquire though
makeFull but be warned that this is an
advanced concurrency operation, which requires some care.
Resource usage nests:
{{{
open(file1).use { in1 =>
open(file2).use { in2 =>
readFiles(in1, in2)
}
}
}}}
However, it is more idiomatic to compose multiple resources
together before use, exploiting the fact that Resource forms a
Monad, and therefore that resources can be nested through
flatMap.
Nested resources are released in reverse order of acquisition.
Outer resources are released even if an inner use or release fails.
{{{
def mkResource(s: String) = {
val acquire = IO(println(s"Acquiring $$s")) *> IO.pure(s)
def release(s: String) = IO(println(s"Releasing $$s"))
Resource.make(acquire)(release)
}
val r = for {
outer <- mkResource("outer")
inner <- mkResource("inner")
} yield (outer, inner)
r.use { case (a, b) =>
IO(println(s"Using $$a and $$b"))
}
}}}
On evaluation the above prints:
{{{
Acquiring outer
Acquiring inner
Using outer and inner
Releasing inner
Releasing outer
}}}
A Resource can also lift arbitrary actions that don't require
finalisation through eval. Actions passed to
eval preserve their interruptibility.
Finally, Resource partakes in other abstractions such as
MonadError, Parallel, and Monoid, so make sure to explore
those instances as well as the other methods not covered here.
Resource is encoded as a data structure, an ADT, described by the
following node types:
Normally users don't need to care about these node types, unless
conversions from Resource into something else is needed (e.g.
conversion from Resource into a streaming data type), in which
case they can be interpreted through pattern matching.
Type Params
A
the type of resource
F
the effect type in which the resource is allocated and released
Companion
object
class Object
trait Matchable
class Any
class Allocate[F, A]
class Bind[F, S, A]
class Pure[F, A]
class Eval[F, A]

Value members

Methods

def use[B](f: A => F[B])(F: MonadCancel[F, Throwable]): F[B]
Allocates a resource and supplies it to the given function.
The resource is released as soon as the resulting F[B] is
completed, whether normally or as a raised error.
Value Params
f
the function to apply to the allocated resource
Returns
the result of applying [F] to
def useForever(F: Spawn[F]): F[Nothing]
Allocates a resource with a non-terminating use action.
Useful to run programs that are expressed entirely in Resource.
The finalisers run when the resulting program fails or gets interrupted.
def use_(F: MonadCancel[F, Throwable]): F[Unit]
Allocates a resource and closes it immediately.
def useKleisli[B >: A, C](usage: Kleisli[F, B, C])(F: MonadCancel[F, Throwable]): F[C]
Allocates the resource and uses it to run the given Kleisli.
def useKleisliK[B >: A](F: MonadCancel[F, Throwable]): FunctionK[[_$4] =>> Kleisli[F, B, _$4], F]
Creates a FunctionK that, when applied, will allocate the resource and use it to run the given Kleisli.
def both[B](that: Resource[F, B])(F: Concurrent[F]): Resource[F, (A, B)]
Allocates two resources concurrently, and combines their results in a tuple.
The finalizers for the two resources are also run concurrently with each other,
but within each of the two resources, nested finalizers are run in the usual
reverse order of acquisition.
Note that Resource also comes with a cats.Parallel instance
that offers more convenient access to the same functionality as
both, for example via parMapN:
{{{
def mkResource(name: String) = {
val acquire =
IO(scala.util.Random.nextInt(1000).millis).flatMap(IO.sleep) *>
IO(println(s"Acquiring $$name")).as(name)
val release = IO(println(s"Releasing $$name"))
Resource.make(acquire)(release)
}
val r = (mkResource("one"), mkResource("two"))
.parMapN((s1, s2) => s"I have $s1 and $s2")
.use(msg => IO(println(msg)))
}}}
def race[B](that: Resource[F, B])(F: Async[F]): Resource[F, Either[A, B]]
Races the evaluation of two resource allocations and returns the result of the winner,
except in the case of cancellation.
def flatMap[B](f: A => Resource[F, B]): Resource[F, B]
Implementation for the flatMap operation, as described via the
cats.Monad type class.
def map[B](f: A => B): Resource[F, B]
Given a mapping function, transforms the resource provided by
this Resource.
This is the standard Functor.map.
def mapK[G <: ([_$12] =>> Any)](f: FunctionK[F, G])(F: MonadCancel[F, ], G: MonadCancel[G, ]): Resource[G, A]
Given a natural transformation from F to G, transforms this
Resource from effect F to effect G.
The F and G constraint can also be satisfied by requiring a
MonadCancelThrow[F] and MonadCancelThrow[G] .
def preAllocate(precede: F[Unit]): Resource[F, A]
Runs precede before this resource is allocated.
def onFinalize(finalizer: F[Unit])(F: Applicative[F]): Resource[F, A]
Runs finalizer when this resource is closed. Unlike the release action passed to Resource.make, this will
run even if resource acquisition fails or is canceled.
def onFinalizeCase(f: ExitCase => F[Unit])(F: Applicative[F]): Resource[F, A]
Like onFinalize, but the action performed depends on the exit case.
def allocated[B >: A](F: MonadCancel[F, Throwable]): F[(B, F[Unit])]
Given a Resource, possibly built by composing multiple
Resources monadically, returns the acquired resource, as well
as an action that runs all the finalizers for releasing it.
If the outer F fails or is interrupted, allocated guarantees
that the finalizers will be called. However, if the outer F
succeeds, it's up to the user to ensure the returned F[Unit]
is called once A needs to be released. If the returned
F[Unit] is not called, the finalizers will not be run.
For this reason, this is an advanced and potentially unsafe api
which can cause a resource leak if not used correctly, please
prefer use as the standard way of running a Resource
program.
Use cases include interacting with side-effectful apis that
expect separate acquire and release actions (like the before
and after methods of many test frameworks), or complex library
code that needs to modify or move the finalizer for an existing
resource.
def evalMap[B](f: A => F[B]): Resource[F, B]
Applies an effectful transformation to the allocated resource. Like a
flatMap on F[A] while maintaining the resource context
def evalTap[B](f: A => F[B]): Resource[F, A]
Applies an effectful transformation to the allocated resource. Like a
flatTap on F[A] while maintaining the resource context
def surround[B](gb: F[B])(F: MonadCancel[F, Throwable]): F[B]
Acquires the resource, runs gb and closes the resource once gb terminates, fails or gets interrupted
def surroundK(F: MonadCancel[F, Throwable]): FunctionK[F, F]
Creates a FunctionK that can run gb within a resource, which is then closed once gb terminates, fails or gets interrupted