What's the Scala way to implement a retry-able call like this one?

Recursion + first class functions by-name parameters == awesome.

def retry[T](n: Int)(fn: => T): T = {
  try {
    fn
  } catch {
    case e =>
      if (n > 1) retry(n - 1)(fn)
      else throw e
  }
}

Usage is like this:

retry(3) {
  // insert code that may fail here
}

Edit: slight variation inspired by @themel's answer. One fewer line of code :-)

def retry[T](n: Int)(fn: => T): T = {
  try {
    fn
  } catch {
    case e if n > 1 =>
      retry(n - 1)(fn)
  }
}

Edit Again: The recursion bothered me in that it added several calls to the stack trace. For some reason, the compiler couldn't optimize tail recursion in the catch handler. Tail recursion not in the catch handler, though, optimizes just fine :-)

@annotation.tailrec
def retry[T](n: Int)(fn: => T): T = {
  val r = try { Some(fn) } catch { case e: Exception if n > 1 => None }
  r match {
    case Some(x) => x
    case None => retry(n - 1)(fn)
  }
}

Edit yet again: Apparently I'm going to make it a hobby to keep coming back and adding alternatives to this answer. Here's a tail-recursive version that's a bit more straightforward than using Option, but using return to short-circuit a function isn't idiomatic Scala.

@annotation.tailrec
def retry[T](n: Int)(fn: => T): T = {
  try {
    return fn
  } catch {
    case e if n > 1 => // ignore
  }
  retry(n - 1)(fn)
}

Scala 2.10 update. As is my hobby, I revisit this answer occasionally. Scala 2.10 as introduced Try, which provides a clean way of implementing retry in a tail-recursive way.

// Returning T, throwing the exception on failure
@annotation.tailrec
def retry[T](n: Int)(fn: => T): T = {
  util.Try { fn } match {
    case util.Success(x) => x
    case _ if n > 1 => retry(n - 1)(fn)
    case util.Failure(e) => throw e
  }
}

// Returning a Try[T] wrapper
@annotation.tailrec
def retry[T](n: Int)(fn: => T): util.Try[T] = {
  util.Try { fn } match {
    case util.Failure(_) if n > 1 => retry(n - 1)(fn)
    case fn => fn
  }
}

There is a method in scalaz.concurrent.Task[T]: http://docs.typelevel.org/api/scalaz/nightly/#scalaz.concurrent.Task

def retry(delays: Seq[Duration], p: (Throwable) ⇒ Boolean = _.isInstanceOf[Exception]): Task[T]

Given a Task[T], you can create a new Task[T] which will retry a certain number of times, where the delay between retries is defined by the delays parameter. e.g.:

// Task.delay will lazily execute the supplied function when run
val myTask: Task[String] =
  Task.delay(???)

// Retry four times if myTask throws java.lang.Exception when run
val retryTask: Task[String] =
  myTask.retry(Seq(20.millis, 50.millis, 100.millis, 5.seconds))

// Run the Task on the current thread to get the result
val result: String = retryTask.run

Here is one possible implementation:

def retry[T](times: Int)(fn: => T) = 
    (1 to times).view flatMap (n => try Some(fn) catch {case e: Exception => None}) headOption

You can use it like this:

retry(3) {
    getClient.putObject(request)
}

retry also returns Some[T] if body was processed successfully and None if body was only throwing exceptions.

---

Update

If you want to bobble up last exception, then you can take very similar approach but use Either instead of Option:

def retry[T](times: Int)(fn: => T) = {
    val tries = (1 to times).toStream map (n => try Left(fn) catch {case e: Exception => Right(e)}) 

    tries find (_ isLeft) match {
        case Some(Left(result)) => result
        case _ => throw tries.reverse.head.right.get
    }
}

Also, as you can see, at the end, instead of having only last exception, I have them all. So you can also wrap them in some AggregatingException if you want and then throw it. (for simplicity, I just throw last exception)