Convert Elixir to Scala

Convert Elixir code to idiomatic Scala. This skill extends meta-convert-dev with Elixir-to-Scala specific type mappings, idiom translations, and tooling for translating between BEAM VM's dynamic actors and JVM's statically-typed Akka actors.

This Skill Extends

•meta-convert-dev - Foundational conversion patterns (APTV workflow, testing strategies)

For general concepts like the Analyze → Plan → Transform → Validate workflow, testing strategies, and common pitfalls, see the meta-skill first.

This Skill Adds

•Type mappings: Elixir types (dynamic) → Scala types (static)
•Idiom translations: Elixir patterns → idiomatic Scala with type safety
•Runtime transition: BEAM VM (lightweight processes) → JVM (Akka actors/Futures)
•Concurrency models: GenServer/Supervisor → Akka actors with typed protocols
•OTP patterns: Supervision trees → Akka supervision hierarchies
•Data structures: Elixir maps/structs → Scala case classes
•Error handling: {:ok/:error} tuples → Either/Try monads
•Build tools: Mix → sbt/Mill

This Skill Does NOT Cover

•General conversion methodology - see meta-convert-dev
•Elixir language fundamentals - see lang-elixir-dev
•Scala language fundamentals - see lang-scala-dev
•Reverse conversion (Scala → Elixir) - see convert-scala-elixir
•Phoenix framework specifics - see lang-scala-play-dev for web frameworks

Quick Reference

Elixir	Scala	Notes
`:atom`	Symbol / sealed trait	Atoms → sealed traits for exhaustiveness
`{:ok, value}`	`Right(value)`	Result tuples → Either/Try
`{:error, reason}`	`Left(reason)`	Error tuples → Either
`%{key: value}`	`Map("key" -> value)`	Maps require type parameters
`[1, 2, 3]`	`List(1, 2, 3)`	Lists immutable by default
`defmodule Module`	`object Module`	Module → singleton object
`def func(x)`	`def func(x: Type): ReturnType`	Functions require type signatures
`fn x -> x end`	`(x: Type) => x`	Anonymous functions
`\|>` (pipe)	`.map().flatMap()`	Pipe → method chaining
`GenServer`	`Actor[Protocol]`	Typed actors in Akka
`Supervisor`	`ActorSystem` / `Behaviors.supervise`	Supervision strategies
`Task.async`	`Future { }`	Async execution
Pattern matching	`match/case`	Similar but with static types

8 Pillars Validation

Elixir Coverage

Pillar	Coverage	Status
Module System	✓	defmodule, alias, import, use
Error Handling	✓	{:ok/:error} tuples, pattern matching, try/rescue
Concurrency Model	✓	Processes, GenServer, Supervisor, Task
Metaprogramming	✓	Macros, use directive, compile-time generation
Zero/Default Values	✓	nil, pattern matching with defaults
Serialization	✓	Phoenix params, Jason/Poison, Ecto
Build/Deps	✓	Mix, hex.pm, deps management
Testing Idioms	✓	ExUnit, doctests, Mox for mocking

Score: 8/8 (Green)

Scala Coverage

Pillar	Coverage	Status
Module System	✓	Packages, objects, imports, traits
Error Handling	✓	Either, Try, Option, exceptions
Concurrency Model	✓	Futures, Akka actors, Cats Effect IO
Metaprogramming	✓	Macros (Scala 2), inline/metaprogramming (Scala 3)
Zero/Default Values	✓	Option, default parameters, null (avoid)
Serialization	✓	Play JSON, Circe, uPickle, case classes
Build/Deps	✓	sbt, Mill, Maven Central
Testing Idioms	✓	ScalaTest, ScalaCheck, MUnit, specs2

Score: 8/8 (Green)

Validation Status: ✅ Both languages have comprehensive coverage. Conversion can proceed with confidence.

Key Challenge: Elixir's dynamic typing to Scala's static typing requires careful type inference and explicit type annotations.

Type System Mapping

Primitive Types

Elixir	Scala	Notes
`:atom`	`Symbol` / sealed trait	Use sealed traits for ADTs
`integer`	`Int` / `Long` / `BigInt`	Choose based on range needs
`float`	`Double`	64-bit floating point
`true` / `false`	`Boolean`	Direct mapping
`nil`	`None` / `null` (avoid)	Prefer Option[T]
`"string"`	`String`	Immutable strings
`'charlist'`	`List[Char]`	Less common in Scala

Collection Types

Elixir	Scala	Notes
`[1, 2, 3]`	`List(1, 2, 3)`	Immutable linked lists
`{:ok, value}`	`Right(value): Either[Error, Value]`	Tagged tuples → Either
`{a, b, c}`	`(a, b, c): (A, B, C)`	Tuples map directly
`%{a: 1, b: 2}`	`Map("a" -> 1, "b" -> 2)`	Immutable maps
`MapSet.new([1, 2])`	`Set(1, 2)`	Immutable sets
Keyword list	`List[(Symbol, A)]`	Less common in Scala
Range `1..10`	`Range(1, 11)`	Inclusive → exclusive end

Composite Types

Elixir	Scala	Notes
`defstruct [:name, :age]`	`case class User(name: String, age: Int)`	Structs → case classes
`%User{name: "Alice"}`	`User("Alice", 30)`	Constructor syntax
`@type user :: %{name: String.t()}`	`type User = Map[String, Any]`	Type aliases
`@spec func(integer) :: String.t()`	`def func(x: Int): String`	Function signatures required
Protocol	Trait	Polymorphism via traits

Idiom Translation

Pattern: Module Definition

Elixir:

elixir

defmodule MyApp.Users do
  @moduledoc """
  Handles user-related operations.
  """

  alias MyApp.Repo
  import Ecto.Query

  @type user :: %{id: integer, name: String.t()}

  @spec get_user(integer) :: {:ok, user} | {:error, :not_found}
  def get_user(id) do
    case Repo.get(User, id) do
      nil -> {:error, :not_found}
      user -> {:ok, user}
    end
  end

  defp build_query(filters) do
    from u in User, where: ^filters
  end
end

Scala:

scala

package myapp

/**
 * Handles user-related operations.
 */
object Users {
  import myapp.repo.Repo
  import myapp.models.User

  type UserId = Int
  type UserResult = Either[UserError, User]

  sealed trait UserError
  case object NotFound extends UserError

  def getUser(id: UserId): UserResult = {
    Repo.get[User](id) match {
      case Some(user) => Right(user)
      case None => Left(NotFound)
    }
  }

  private def buildQuery(filters: Map[String, Any]): Query = {
    Query.from[User].where(filters)
  }
}

Why this translation:

•defmodule → object (singleton)
•@moduledoc → Scaladoc /** */
•@type → type alias with explicit types
•@spec → method signature with types
•{:ok/:error} tuples → Either[Error, Value]
•Pattern matching on nil → Option.match
•CamelCase modules → package + object structure

Pattern: Pattern Matching to Case Classes

Elixir:

elixir

def process_response({:ok, %{"data" => data, "meta" => meta}}) do
  {:success, data, meta}
end

def process_response({:error, reason}) do
  {:failure, reason}
end

def handle_user(%User{name: name, age: age}) when age >= 18 do
  "Adult: #{name}"
end

Scala:

scala

sealed trait Response
case class Success(data: String, meta: Map[String, Any]) extends Response
case class Error(reason: String) extends Response

def processResponse(response: Response): Result = response match {
  case Success(data, meta) =>
    SuccessResult(data, meta)
  case Error(reason) =>
    FailureResult(reason)
}

case class User(name: String, age: Int)

def handleUser(user: User): Option[String] = user match {
  case User(name, age) if age >= 18 =>
    Some(s"Adult: $name")
  case _ =>
    None
}

Why this translation:

•Multiple function clauses → sealed trait with case classes
•Guards → pattern guards with if in match
•Struct pattern matching → case class pattern matching
•Tag tuples → sealed trait hierarchy for type safety
•Exhaustiveness checking enforced by compiler

Pattern: Pipelines to Method Chaining

Elixir:

elixir

def process_data(input) do
  input
  |> String.trim()
  |> String.downcase()
  |> String.split(",")
  |> Enum.map(&String.trim/1)
  |> Enum.reject(&(&1 == ""))
  |> Enum.join(";")
end

Scala:

scala

def processData(input: String): String = {
  input
    .trim
    .toLowerCase
    .split(",")
    .map(_.trim)
    .filterNot(_.isEmpty)
    .mkString(";")
}

// Or with explicit types for clarity
def processData(input: String): String = {
  val trimmed: String = input.trim
  val lowercased: String = trimmed.toLowerCase
  val parts: Array[String] = lowercased.split(",")
  val cleaned: Array[String] = parts.map(_.trim).filterNot(_.isEmpty)
  cleaned.mkString(";")
}

Why this translation:

•|> → method chaining (.)
•Enum functions → collection methods
•Capture operator &func/arity → anonymous functions _
•Enum.reject → filterNot
•Enum.join → mkString

Pattern: GenServer to Akka Typed Actor

Elixir:

elixir

defmodule UserCache do
  use GenServer

  # Client API

  def start_link(opts) do
    GenServer.start_link(__MODULE__, opts, name: __MODULE__)
  end

  def get(key) do
    GenServer.call(__MODULE__, {:get, key})
  end

  def put(key, value) do
    GenServer.cast(__MODULE__, {:put, key, value})
  end

  # Server Callbacks

  @impl true
  def init(_opts) do
    {:ok, %{}}
  end

  @impl true
  def handle_call({:get, key}, _from, state) do
    {:reply, Map.get(state, key), state}
  end

  @impl true
  def handle_cast({:put, key, value}, state) do
    {:noreply, Map.put(state, key, value)}
  end
end

Scala (Akka Typed):

scala

import akka.actor.typed._
import akka.actor.typed.scaladsl.Behaviors

object UserCache {
  // Protocol
  sealed trait Command
  final case class Get(key: String, replyTo: ActorRef[Option[String]])
    extends Command
  final case class Put(key: String, value: String)
    extends Command

  // Behavior
  def apply(): Behavior[Command] = {
    behavior(Map.empty[String, String])
  }

  private def behavior(cache: Map[String, String]): Behavior[Command] = {
    Behaviors.receive { (context, message) =>
      message match {
        case Get(key, replyTo) =>
          replyTo ! cache.get(key)
          Behaviors.same

        case Put(key, value) =>
          behavior(cache + (key -> value))
      }
    }
  }
}

// Usage
val system: ActorSystem[UserCache.Command] =
  ActorSystem(UserCache(), "user-cache-system")

implicit val timeout: Timeout = 3.seconds
val futureResult: Future[Option[String]] =
  system.ask(ref => UserCache.Get("key", ref))

Why this translation:

•GenServer → Akka Typed Actor[Protocol]
•Message tuples → sealed trait protocol
•handle_call → synchronous message handling with ask pattern
•handle_cast → asynchronous message handling
•State recursion → immutable state updates
•Type safety enforced at compile time

Pattern: Supervisor to Akka Supervision

Elixir:

elixir

defmodule MyApp.Application do
  use Application

  @impl true
  def start(_type, _args) do
    children = [
      {UserCache, []},
      {MyWorker, name: MyWorker, restart: :transient},
      {Registry, keys: :unique, name: MyApp.Registry}
    ]

    opts = [strategy: :one_for_one, name: MyApp.Supervisor]
    Supervisor.start_link(children, opts)
  end
end

Scala (Akka Typed):

scala

import akka.actor.typed._
import akka.actor.typed.scaladsl._

object MyApp {
  sealed trait RootCommand

  def apply(): Behavior[RootCommand] = {
    Behaviors.setup { context =>
      // Spawn supervised children
      val userCache = context.spawn(
        UserCache(),
        "user-cache"
      )

      val worker = context.spawn(
        Behaviors.supervise(MyWorker())
          .onFailure[Exception](SupervisorStrategy.restart),
        "my-worker"
      )

      // Root behavior
      Behaviors.receiveMessage { message =>
        Behaviors.same
      }
    }
  }
}

// Starting the system
val system = ActorSystem(MyApp(), "my-app-system")

Why this translation:

•Supervision tree → Behaviors.setup with spawned children
•:one_for_one → individual supervision per actor
•:transient restart → SupervisorStrategy.restart.withLimit
•Named processes → named actors via spawn
•Declarative children list → imperative spawn calls

Error Handling

Elixir Error Model → Scala Error Model

Elixir uses tagged tuples:

elixir

def divide(a, b) when b != 0, do: {:ok, a / b}
def divide(_, 0), do: {:error, :division_by_zero}

# Usage
case divide(10, 2) do
  {:ok, result} -> "Result: #{result}"
  {:error, reason} -> "Error: #{reason}"
end

# Or with pattern matching
{:ok, result} = divide(10, 2)

Scala uses Either/Try monads:

scala

sealed trait MathError
case object DivisionByZero extends MathError

def divide(a: Double, b: Double): Either[MathError, Double] = {
  if (b != 0) Right(a / b)
  else Left(DivisionByZero)
}

// Usage with pattern matching
divide(10, 2) match {
  case Right(result) => s"Result: $result"
  case Left(error) => s"Error: $error"
}

// Or with for-comprehension
val result = for {
  x <- divide(10, 2)
  y <- divide(x, 5)
} yield y

// Or with Try for exceptions
import scala.util.{Try, Success, Failure}

def divideWithTry(a: Double, b: Double): Try[Double] = {
  Try(a / b)
}

divideWithTry(10, 0) match {
  case Success(value) => s"Result: $value"
  case Failure(exception) => s"Error: ${exception.getMessage}"
}

Translation strategy:

•{:ok, value} → Right(value): Either[Error, Value]
•{:error, reason} → Left(reason): Either[Error, Value]
•Define error ADT with sealed trait
•Use for-comprehensions for chaining operations
•Consider Try for exception-based code

Concurrency Patterns

Elixir Async → Scala Async

Elixir Task-based async:

elixir

def fetch_user_data(user_id) do
  task1 = Task.async(fn -> fetch_profile(user_id) end)
  task2 = Task.async(fn -> fetch_orders(user_id) end)
  task3 = Task.async(fn -> fetch_preferences(user_id) end)

  profile = Task.await(task1)
  orders = Task.await(task2)
  preferences = Task.await(task3)

  %{profile: profile, orders: orders, preferences: preferences}
end

Scala Future-based async:

scala

import scala.concurrent.{Future, Await}
import scala.concurrent.duration._
import scala.concurrent.ExecutionContext.Implicits.global

def fetchUserData(userId: Int): Future[UserData] = {
  val profileF = Future { fetchProfile(userId) }
  val ordersF = Future { fetchOrders(userId) }
  val preferencesF = Future { fetchPreferences(userId) }

  for {
    profile <- profileF
    orders <- ordersF
    preferences <- preferencesF
  } yield UserData(profile, orders, preferences)
}

// Or with Applicative for parallel execution
import cats.implicits._

def fetchUserDataParallel(userId: Int): Future[UserData] = {
  (
    Future { fetchProfile(userId) },
    Future { fetchOrders(userId) },
    Future { fetchPreferences(userId) }
  ).mapN(UserData.apply)
}

Why this translation:

•Task.async → Future { }
•Task.await → Await.result (avoid) or for-comprehension
•Parallel execution → spawn all Futures immediately
•Sequential composition → for-comprehension
•Use Cats for applicative parallel composition

Process Message Passing → Actor Tell/Ask

Elixir:

elixir

defmodule Counter do
  def start do
    spawn(fn -> loop(0) end)
  end

  defp loop(count) do
    receive do
      {:increment, caller} ->
        send(caller, {:ok, count + 1})
        loop(count + 1)

      {:get, caller} ->
        send(caller, {:ok, count})
        loop(count)

      :stop ->
        :ok
    end
  end
end

# Usage
counter = Counter.start()
send(counter, {:increment, self()})
receive do
  {:ok, new_value} -> IO.puts("New value: #{new_value}")
end

Scala (Akka Typed):

scala

object Counter {
  sealed trait Command
  case class Increment(replyTo: ActorRef[Response]) extends Command
  case class Get(replyTo: ActorRef[Response]) extends Command
  case object Stop extends Command

  sealed trait Response
  case class Value(count: Int) extends Response

  def apply(initialCount: Int): Behavior[Command] = {
    counter(initialCount)
  }

  private def counter(count: Int): Behavior[Command] = {
    Behaviors.receive { (context, message) =>
      message match {
        case Increment(replyTo) =>
          replyTo ! Value(count + 1)
          counter(count + 1)

        case Get(replyTo) =>
          replyTo ! Value(count)
          Behaviors.same

        case Stop =>
          Behaviors.stopped
      }
    }
  }
}

// Usage
val system = ActorSystem(Counter(0), "counter-system")
implicit val timeout: Timeout = 3.seconds

val futureCount: Future[Counter.Value] =
  system.ask(ref => Counter.Get(ref))

Why this translation:

•spawn → ActorSystem / context.spawn
•send → actor ! (tell) operator
•receive → Behaviors.receive pattern matching
•Message tuples → sealed trait protocol
•Tail recursion → return new behavior

Common Pitfalls

1. Dynamic Typing → Static Typing

Problem: Elixir allows dynamic typing; Scala requires explicit types.

elixir

# Elixir - dynamic
def process(data) do
  case data do
    x when is_integer(x) -> x * 2
    x when is_binary(x) -> String.length(x)
    x when is_list(x) -> length(x)
  end
end

Solution: Use sealed trait ADT for type safety.

scala

sealed trait Data
case class IntData(value: Int) extends Data
case class StringData(value: String) extends Data
case class ListData[A](values: List[A]) extends Data

def process(data: Data): Int = data match {
  case IntData(x) => x * 2
  case StringData(x) => x.length
  case ListData(xs) => xs.length
}

2. Pattern Match Exhaustiveness

Problem: Elixir warns on non-exhaustive matches; Scala errors.

elixir

# Elixir - warning only
def handle({:ok, value}), do: value
# Missing {:error, _} case

Solution: Always handle all cases or use sealed traits.

scala

sealed trait Result[+A]
case class Success[A](value: A) extends Result[A]
case class Failure(error: String) extends Result[Nothing]

def handle[A](result: Result[A]): A = result match {
  case Success(value) => value
  case Failure(error) => throw new Exception(error)
  // Compiler enforces exhaustiveness
}

3. Nil Safety

Problem: Elixir has nil; Scala should use Option.

elixir

# Elixir
user = Repo.get(User, id)  # Can be nil
name = user.name           # Runtime error if nil

Solution: Use Option type.

scala

val user: Option[User] = Repo.get[User](id)
val name: Option[String] = user.map(_.name)

// Or with for-comprehension
val name = for {
  u <- user
} yield u.name

4. Immutability by Convention → Enforced

Problem: Elixir immutability is by convention; Scala enforces it.

elixir

# Elixir - creates new map
map = %{a: 1}
new_map = Map.put(map, :b, 2)

Solution: Use val and immutable collections.

scala

val map = Map("a" -> 1)
val newMap = map + ("b" -> 2)  // Creates new map

// Avoid var and mutable collections
var mutableMap = scala.collection.mutable.Map("a" -> 1)  // Avoid

5. Process Supervision → Actor Supervision

Problem: Different restart semantics and error handling.

Elixir:

elixir

# Let it crash - supervisor restarts
def handle_call(:dangerous, _from, state) do
  result = do_dangerous_operation()  # Might crash
  {:reply, result, state}
end

Scala:

scala

// Must handle errors explicitly or define supervision strategy
Behaviors.supervise {
  Behaviors.receiveMessage {
    case Dangerous =>
      try {
        val result = doDangerousOperation()
        Behaviors.same
      } catch {
        case e: Exception =>
          throw e  // Supervisor handles via strategy
      }
  }
}.onFailure[Exception](SupervisorStrategy.restart)

Tooling

Category	Elixir	Scala	Notes
Build Tool	Mix	sbt, Mill	Mill is more modern
Package Manager	Hex	Maven Central	sbt resolves dependencies
REPL	iex	scala / ammonite	Ammonite more feature-rich
Formatter	mix format	scalafmt	Both auto-format
Linter	Credo	scalafix, Wartremover	Scala has multiple
Testing	ExUnit	ScalaTest, MUnit	Multiple test frameworks
Property Testing	StreamData	ScalaCheck	Similar concepts
Actor System	OTP	Akka	Akka Typed recommended
Web Framework	Phoenix	Play, Http4s, Akka HTTP	Play most similar
DB	Ecto	Slick, Doobie, Quill	Different approaches
JSON	Jason, Poison	Circe, Play JSON, uPickle	Macro-based derivation
HTTP Client	HTTPoison, Tesla	sttp, http4s-client	Functional HTTP clients

Examples

Example 1: Simple - Data Transformation

Before (Elixir):

elixir

defmodule DataProcessor do
  def transform_user(%{name: name, age: age}) do
    %{
      display_name: String.upcase(name),
      is_adult: age >= 18,
      category: categorize_age(age)
    }
  end

  defp categorize_age(age) when age < 13, do: :child
  defp categorize_age(age) when age < 20, do: :teenager
  defp categorize_age(_), do: :adult
end

After (Scala):

scala

object DataProcessor {
  case class User(name: String, age: Int)

  sealed trait AgeCategory
  case object Child extends AgeCategory
  case object Teenager extends AgeCategory
  case object Adult extends AgeCategory

  case class TransformedUser(
    displayName: String,
    isAdult: Boolean,
    category: AgeCategory
  )

  def transformUser(user: User): TransformedUser = {
    TransformedUser(
      displayName = user.name.toUpperCase,
      isAdult = user.age >= 18,
      category = categorizeAge(user.age)
    )
  }

  private def categorizeAge(age: Int): AgeCategory = age match {
    case a if a < 13 => Child
    case a if a < 20 => Teenager
    case _ => Adult
  }
}

Example 2: Medium - Error Handling Pipeline

Before (Elixir):

elixir

defmodule UserRegistration do
  def register(params) do
    with {:ok, validated} <- validate_params(params),
         {:ok, user} <- create_user(validated),
         {:ok, _email} <- send_welcome_email(user) do
      {:ok, user}
    else
      {:error, :invalid_email} -> {:error, "Email is invalid"}
      {:error, :user_exists} -> {:error, "User already exists"}
      {:error, reason} -> {:error, "Registration failed: #{reason}"}
    end
  end

  defp validate_params(%{email: email, password: password})
    when byte_size(password) >= 8 do
    if valid_email?(email) do
      {:ok, %{email: email, password: password}}
    else
      {:error, :invalid_email}
    end
  end
  defp validate_params(_), do: {:error, :invalid_params}
end

After (Scala):

scala

object UserRegistration {
  case class UserParams(email: String, password: String)
  case class User(id: Int, email: String)

  sealed trait RegistrationError
  case object InvalidEmail extends RegistrationError
  case object UserExists extends RegistrationError
  case class GeneralError(message: String) extends RegistrationError

  type RegistrationResult = Either[RegistrationError, User]

  def register(params: UserParams): RegistrationResult = {
    for {
      validated <- validateParams(params)
      user <- createUser(validated)
      _ <- sendWelcomeEmail(user)
    } yield user
  }

  private def validateParams(
    params: UserParams
  ): Either[RegistrationError, UserParams] = {
    if (params.password.length < 8) {
      Left(GeneralError("Password too short"))
    } else if (!validEmail(params.email)) {
      Left(InvalidEmail)
    } else {
      Right(params)
    }
  }

  private def createUser(
    params: UserParams
  ): Either[RegistrationError, User] = {
    // Database logic
    Right(User(1, params.email))
  }

  private def sendWelcomeEmail(
    user: User
  ): Either[RegistrationError, Unit] = {
    // Email logic
    Right(())
  }

  private def validEmail(email: String): Boolean = {
    email.contains("@")
  }
}

Example 3: Complex - GenServer to Akka Actor with State

Before (Elixir):

elixir

defmodule RateLimiter do
  use GenServer
  require Logger

  defstruct requests: %{}, window_ms: 60_000, max_requests: 100

  # Client API

  def start_link(opts) do
    GenServer.start_link(__MODULE__, opts, name: __MODULE__)
  end

  def check_rate(user_id) do
    GenServer.call(__MODULE__, {:check_rate, user_id})
  end

  def reset(user_id) do
    GenServer.cast(__MODULE__, {:reset, user_id})
  end

  # Server Callbacks

  @impl true
  def init(opts) do
    state = %__MODULE__{
      window_ms: Keyword.get(opts, :window_ms, 60_000),
      max_requests: Keyword.get(opts, :max_requests, 100)
    }
    {:ok, state}
  end

  @impl true
  def handle_call({:check_rate, user_id}, _from, state) do
    now = System.system_time(:millisecond)
    requests = Map.get(state.requests, user_id, [])

    # Filter out expired requests
    valid_requests =
      Enum.filter(requests, fn ts ->
        now - ts < state.window_ms
      end)

    count = length(valid_requests)

    if count < state.max_requests do
      new_requests = [now | valid_requests]
      new_state = put_in(state.requests[user_id], new_requests)
      {:reply, {:ok, state.max_requests - count - 1}, new_state}
    else
      {:reply, {:error, :rate_limit_exceeded}, state}
    end
  end

  @impl true
  def handle_cast({:reset, user_id}, state) do
    new_state = put_in(state.requests[user_id], [])
    {:noreply, new_state}
  end

  @impl true
  def handle_info(:cleanup, state) do
    now = System.system_time(:millisecond)

    new_requests =
      state.requests
      |> Enum.map(fn {user_id, requests} ->
        valid = Enum.filter(requests, fn ts ->
          now - ts < state.window_ms
        end)
        {user_id, valid}
      end)
      |> Enum.into(%{})

    Process.send_after(self(), :cleanup, 60_000)
    {:noreply, %{state | requests: new_requests}}
  end
end

After (Scala with Akka Typed):

scala

import akka.actor.typed._
import akka.actor.typed.scaladsl._
import scala.concurrent.duration._

object RateLimiter {
  // Protocol
  sealed trait Command
  final case class CheckRate(
    userId: String,
    replyTo: ActorRef[RateResponse]
  ) extends Command
  final case class Reset(userId: String) extends Command
  private case object Cleanup extends Command

  // Responses
  sealed trait RateResponse
  final case class Allowed(remaining: Int) extends RateResponse
  case object RateLimitExceeded extends RateResponse

  // Configuration
  case class Config(
    windowMs: Long = 60000,
    maxRequests: Int = 100
  )

  // State
  private case class State(
    requests: Map[String, List[Long]],
    config: Config
  )

  def apply(config: Config = Config()): Behavior[Command] = {
    Behaviors.setup { context =>
      Behaviors.withTimers { timers =>
        timers.startTimerWithFixedDelay(Cleanup, 60.seconds)
        active(State(Map.empty, config), context)
      }
    }
  }

  private def active(
    state: State,
    context: ActorContext[Command]
  ): Behavior[Command] = {
    Behaviors.receiveMessage {
      case CheckRate(userId, replyTo) =>
        val now = System.currentTimeMillis()
        val requests = state.requests.getOrElse(userId, List.empty)

        // Filter expired requests
        val validRequests = requests.filter { ts =>
          now - ts < state.config.windowMs
        }

        val count = validRequests.length

        if (count < state.config.maxRequests) {
          val newRequests = now :: validRequests
          val newState = state.copy(
            requests = state.requests + (userId -> newRequests)
          )
          replyTo ! Allowed(state.config.maxRequests - count - 1)
          active(newState, context)
        } else {
          replyTo ! RateLimitExceeded
          Behaviors.same
        }

      case Reset(userId) =>
        val newState = state.copy(
          requests = state.requests - userId
        )
        active(newState, context)

      case Cleanup =>
        val now = System.currentTimeMillis()
        val cleaned = state.requests.map { case (userId, requests) =>
          val valid = requests.filter { ts =>
            now - ts < state.config.windowMs
          }
          userId -> valid
        }.filter(_._2.nonEmpty)

        active(state.copy(requests = cleaned), context)
    }
  }
}

// Usage
val system: ActorSystem[RateLimiter.Command] =
  ActorSystem(RateLimiter(RateLimiter.Config()), "rate-limiter")

implicit val timeout: Timeout = 3.seconds
val futureResponse: Future[RateLimiter.RateResponse] =
  system.ask(ref => RateLimiter.CheckRate("user123", ref))

convert-elixir-scala

Convert Elixir to Scala

This Skill Extends

This Skill Adds

This Skill Does NOT Cover

Quick Reference

8 Pillars Validation

Elixir Coverage

Scala Coverage

Type System Mapping

Primitive Types

Collection Types

Composite Types

Idiom Translation

Pattern: Module Definition

Pattern: Pattern Matching to Case Classes

Pattern: Pipelines to Method Chaining

Pattern: GenServer to Akka Typed Actor

Pattern: Supervisor to Akka Supervision

Error Handling

Elixir Error Model → Scala Error Model

Concurrency Patterns

Elixir Async → Scala Async

Process Message Passing → Actor Tell/Ask

Common Pitfalls

1. Dynamic Typing → Static Typing

2. Pattern Match Exhaustiveness

3. Nil Safety

4. Immutability by Convention → Enforced

5. Process Supervision → Actor Supervision

Tooling

Examples

Example 1: Simple - Data Transformation

Example 2: Medium - Error Handling Pipeline

Example 3: Complex - GenServer to Akka Actor with State

See Also