Scala中的闭包内存管理如何工作？

Question

Scala allows closure like

def newCounter = {
  var a=0
  () => {a+=1;a}
}

which defines a function that on every call returns a new independent counter function starting at 1 :

scala> val counter1 = newCounter
counter1: () => Int = <function0>

scala> counter1()
res0: Int = 1

scala> counter1()
res1: Int = 2

scala> val counter2 = newCounter
counter2: () => Int = <function0>

scala> counter2()
res2: Int = 1

scala> counter1()
res3: Int = 3

This is quite impressive as usually a would be a representative of a memory address on the stack frame of newCounter. I've just read the closure chapter of "Programming in Scala" and it only has the following to say on that matter (p. 155):

The Scala compiler rearranges things in cases like this so that the captured parameter lives out on the heap, instead of the stack, and thus can outlive the method call that created it. This rearrangement is all taken care of automatically, so you don't have to worry about it.

Can anyone elaborate on how this works on byte code level? Is the access similar to a member variable of a class with all the associated synchronization and performance implications?

Answer 1

You could use scalac -Xprint:lambdalift <scala-file-name> to investigate this.

Your code is actually something like this:

def newCounter = {
  val a: runtime.IntRef = new runtime.IntRef(0);
  new Function0 {
    private[this] val a$1 = a
    def apply() = {
      a$1.elem = a$1.elem + 1
      a$1.elem
    }
  }
}

There is a wrapper for any var used by lambda. Other vars (not used in closures) are common locale variables.

The link to this wrapper is stored as field in the instance of function.

lambdalift in -Xprint:lambdalift is the compiler phase . You can get all phases with -Xshow-phases . You could use phase number instead of name, it's useful when you are not sure which phase you need.