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import scala.concurrent.duration._ | |
import scala.concurrent.ExecutionContext | |
import scala.concurrent.Future | |
import akka.pattern.after | |
import akka.actor.Scheduler | |
/** | |
* Given an operation that produces a T, returns a Future containing the result of T, unless an exception is thrown, | |
* in which case the operation will be retried after _delay_ time, if there are more possible retries, which is configured through | |
* the _retries_ parameter. If the operation does not succeed and there is no retries left, the resulting Future will contain the last failure. | |
**/ | |
def retry[T](op: => T, delay: FiniteDuration, retries: Int)(implicit ec: ExecutionContext, s: Scheduler): Future[T] = | |
Future(op) recoverWith { case _ if retries > 0 => after(delay, s)(retry(op, delay, retries - 1)) } |
Also with a Future instead of a block of code
def f = Future (... )
trait Retrying {
def retry[T](f: => Future[T], delay: FiniteDuration, retries: Int)(implicit ec: ExecutionContext, s: Scheduler): Future[T] = {
f recoverWith { case _ if retries > 0 => after(delay, s)(retry(f, delay, retries - 1)) }
}
}
Instead of having the uniform delay, it's nice to have a retries with backoff. So:
def retry[T](f: => Future[T], delays: Seq[FiniteDuration])(implicit ec: ExecutionContext, s: Scheduler): Future[T] = {
f recoverWith { case _ if delays.nonEmpty => after(delays.head, s)(retry(f, delays.tail) }
}
and you can call with
retry(Future(1), Seq(1.seconds, 10.seconds, 30.seconds))
@chadselph how about combine both by adding a default delay value
def retry[T](f: => Future[T], delay: Seq[FiniteDuration], retries: Int, defaultDelay: FiniteDuration )(implicit ec: ExecutionContext, s: Scheduler): Future[T] = {
f recoverWith { case _ if retries > 0 => after(delay.headOption.getOrElse(defaultDelay), s)(retry(f, delay.tail, retries - 1 , defaultDelay)) }
}
now you can call
val retries: List[FiniteDuration] = List(200 millis, 200 millis , 500 millis, 1 seconds, 2 seconds)
retry(future, retries , 10, 300 millis)
thanks guys , this is nice !
@123avi if you wanted this behavior I would probably suggest leaving retry
the same but adding some helpers for generating lists of FiniteDurations.
object RetryDelays {
def withDefault(delays: List[FiniteDuration], retries: Int, default: FiniteDuration) = {
if (delays.length > retries) delays take retries
else delays ++ List.fill(retries - delays.length)(default)
}
def withJitter(delays: Seq[FiniteDuration], maxJitter: Double, minJitter: Double) =
delays.map(_ * (minJitter + (maxJitter - minJitter) * Random.nextDouble))
val fibonacci: Stream[FiniteDuration] = 0.seconds #:: 1.seconds #:: (fibonacci zip fibonacci.tail).map{ t => t._1 + t._2 }
}
and use it like
retry(someFuture(), RetryDelays.withJitter(RetryDelays.fibonacci, 0.8, 1.2))
@chadselph thanks !
@chadselph @viktorklang can you license these snippets explicitly? MIT would be nice.
@graingert Apologies, sadly Github doesn't notify when there are comments to Gists.
I don't think my snippet is complex enough to give a license at all.
I might be a bit late to this party, but I felt like it will be a useful contribution.
First of all, a very useful snippet and a nice bunch of follow-ups. However, if it is defined the following way:
def retry[T](f: => Future[T], delays: Seq[FiniteDuration])(implicit ec: ExecutionContext, s: Scheduler): Future[T] = {
f recoverWith { case _ if delays.nonEmpty => after(delays.head, s)(retry(f, delays.tail) }
}
The f
parameter, which is passed by-name, will get evaluated when you call f recoverWith
. After this point, if the future indeed fails, you will just end up passing the same failed future as many times as you have delays. So it won't really retry - it will just waste some time.
The following is a potential work-around:
def retry[T](f: () => Future[T], delays: Seq[FiniteDuration])(implicit ec: ExecutionContext, s: Scheduler): Future[T] = {
f() recoverWith { case _ if delays.nonEmpty => after(delays.head, s)(retry(f, delays.tail)
}
Of course, you'll have to modify the way you call the method accordingly.
Looking at example at https://docs.scala-lang.org/tour/by-name-parameters.html - isn't the by-name parameter evaluated each time when accessed? The condition: => Boolean
would ne er evaluate to false
when it was true
initally. Or am I missing something?
Allow me to agree with Graingert that a license would be great to have.
May I suggest the Beerware license?
"BeerWare: If you have the time and money, send me a bottle of your favourite beer. If not, just send me a mail or something. Copy and use as you wish; just leave the author's name where you find it."
@nikolovivan - As @tadej-mali points out, the call-by-name parameter is evaluated each time it is referenced; it is not a thunk.
Note that the operation parameter (originally op, then f in the comments) should not have any side effects (e.g. logging), since they might be done several times. In some special situations this might not be a problem though.
Terse, terse, terse !