In-Memory Concurrent Key-Value Cache

ConcurrentInMemoryCache.scala

object ConcurrentInMemoryCacheImpl {

  trait Cache[K, V] {
    type F
    def put(k: K, v: V): Unit
    def get(k: K): Option[V]
    def remove(k: K): Option[V]
    def update(k: K, v: V): Unit
    def value: F
  }

  object Cache {

    import scala.collection.concurrent.TrieMap

    def apply[K, V]: Cache[K, V] = new Cache[K, V] {

      override type F = TrieMap[K, V]

      private val mapRef = Ref(TrieMap.empty[K, V])

      override def put(k: K, v: V): Unit = mapRef.modify { map =>
        map.put(k, v)

        (map, ())
      }

      override def get(k: K): Option[V] = mapRef.modify { map => (map, map.get(k)) }

      override def remove(k: K): Option[V] = mapRef.modify { map =>
        val removed = map.remove(k)

        (map, removed)
      }

      override def update(k: K, v: V): Unit = mapRef.modify { map =>
        map.update(k, v)

        (map, ())
      }

      override def value: TrieMap[K, V] = mapRef.get
    }

    trait Atomically[A] {
      def get: A

      def modify[B](f: A => (A, B)): B
    }

    import java.util.concurrent.atomic.AtomicReference

    final class Ref[A](ar: AtomicReference[A]) extends Atomically[A] {

      override def modify[B](f: A => (A, B)): B = {

        @scala.annotation.tailrec
        def spin(): B = {
          val oldState = get
          val (newState, b) = f(oldState)

          if (ar.compareAndSet(oldState, newState)) b else spin()
        }

        spin()
      }

      override def get: A = ar.get
    }

    object Ref {
      def apply[A](a: => A): Ref[A] = new Ref[A](new AtomicReference[A](a))
    }

  }
}

Let's try the same on simple mutable @volatile variable:

concurrently {
  @volatile var num = 0

  runThreads(amount = 10, task = num += 1)
  runThreads(amount = 10, task = num -= 1)

  Thread sleep 3000

  println(num)
}

Output: -15173, -4728, 8123, 12421, 5766, 7568, -904, -34940, 1254, 200 - didn't pass even one time.