Skills Development Idiomatic Elixir Coding Best Practices

Idiomatic Elixir Coding Best Practices

v20260617
elixir
A comprehensive guide to writing idiomatic and efficient Elixir code. Covers advanced topics like Pattern Matching, the Pipe Operator, OTP process management, robust error handling using tagged tuples, and efficient collection usage (Streams and comprehensions). Essential reading for intermediate to advanced Elixir developers aiming for production-grade stability.
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Overview

Elixir / Erlang: Idiomatic Efficiency Reference

Table of Contents

  1. Pattern Matching & Guards
  2. Pipe Operator & Transforms
  3. Processes & OTP
  4. Error Handling
  5. Collections & Enum
  6. Structs & Protocols
  7. Anti-patterns specific to Elixir/Erlang

1. Pattern Matching & Guards {#patterns}

# ❌ Extracting with Map.get then checking
value = Map.get(map, :key)
if value != nil do
  process(value)
end

# ✅ — pattern match directly
case map do
  %{key: value} -> process(value)
  _ -> :noop
end
# or with if:
if value = map[:key], do: process(value)
# ❌ Nested case for multiple conditions
case fetch_user(id) do
  {:ok, user} ->
    case validate(user) do
      {:ok, valid_user} -> save(valid_user)
      {:error, reason} -> {:error, reason}
    end
  {:error, reason} -> {:error, reason}
end

# ✅ — with clause
with {:ok, user} <- fetch_user(id),
     {:ok, valid_user} <- validate(user) do
  save(valid_user)
end
# ❌ if/else for known shapes
def area(shape) do
  if shape.type == :circle do
    :math.pi() * shape.radius * shape.radius
  else
    shape.width * shape.height
  end
end

# ✅ — multi-clause function with pattern match
def area(%{type: :circle, radius: r}), do: :math.pi() * r * r
def area(%{type: :rect, width: w, height: h}), do: w * h
# ❌ Checking type at runtime
def process(x) do
  if is_integer(x) and x > 0 do
    x * 2
  end
end

# ✅ — guard clause
def process(x) when is_integer(x) and x > 0, do: x * 2
def process(_), do: {:error, :invalid_input}

2. Pipe Operator & Transforms {#pipes}

# ❌ Nested function calls
String.trim(String.downcase(String.replace(input, ~r/\s+/, " ")))

# ✅
input
|> String.replace(~r/\s+/, " ")
|> String.downcase()
|> String.trim()
# ❌ Pipe into anonymous function awkwardly
data
|> (fn x -> x * 2 end).()

# ✅ — use then/1 or named function
data
|> then(&(&1 * 2))
# or better: extract a named function
data |> double()
# ❌ Single-step pipe (no gain in readability)
result = list |> Enum.count()

# ✅ — direct call for single operation
result = Enum.count(list)

Pipe when 2+ transforms. Direct call for single operation. First arg flows through pipe.


3. Processes & OTP {#otp}

# ❌ Raw spawn for stateful process
pid = spawn(fn -> loop(%{count: 0}) end)
send(pid, {:increment})

# ✅ — GenServer for stateful processes
defmodule Counter do
  use GenServer

  def start_link(init \\ 0), do: GenServer.start_link(__MODULE__, init)
  def increment(pid), do: GenServer.call(pid, :increment)

  @impl true
  def init(count), do: {:ok, count}

  @impl true
  def handle_call(:increment, _from, count), do: {:reply, count + 1, count + 1}
end
# ❌ Spawning without linking (orphan process on crash)
spawn(fn -> do_work() end)

# ✅ — Task for fire-and-forget with supervision
Task.start(fn -> do_work() end)
# or for awaitable result:
task = Task.async(fn -> do_work() end)
result = Task.await(task)
# ❌ Manual process registry
Process.register(self(), :my_worker)

# ✅ — use Registry or named GenServer
{:ok, _} = Registry.start_link(keys: :unique, name: MyRegistry)
GenServer.start_link(Worker, arg, name: {:via, Registry, {MyRegistry, :my_worker}})
# ❌ try/catch in GenServer (breaks supervision)
def handle_call(:work, _from, state) do
  try do
    result = risky_operation()
    {:reply, result, state}
  catch
    _ -> {:reply, :error, state}
  end
end

# ✅ — let it crash; supervisor restarts
def handle_call(:work, _from, state) do
  result = risky_operation()
  {:reply, result, state}
end

"Let it crash" — supervisors handle recovery. Don't defensively catch inside GenServers.


4. Error Handling {#errors}

# ❌ Raising for expected failures
def find_user(id) do
  case Repo.get(User, id) do
    nil -> raise "User not found"
    user -> user
  end
end

# ✅ — tagged tuples for expected outcomes
def find_user(id) do
  case Repo.get(User, id) do
    nil -> {:error, :not_found}
    user -> {:ok, user}
  end
end
# ❌ Ignoring error tuple
{:ok, result} = might_fail()  # crashes on {:error, _}

# ✅ — handle both cases
case might_fail() do
  {:ok, result} -> process(result)
  {:error, reason} -> Logger.error("Failed: #{inspect(reason)}")
end
# ❌ String errors
{:error, "something went wrong"}

# ✅ — atom or struct errors (matchable, cheap)
{:error, :timeout}
{:error, %ValidationError{field: :email, reason: :invalid_format}}
# ❌ Deep nesting of ok/error checks
case step1() do
  {:ok, a} ->
    case step2(a) do
      {:ok, b} ->
        case step3(b) do
          {:ok, c} -> {:ok, c}
          error -> error
        end
      error -> error
    end
  error -> error
end

# ✅
with {:ok, a} <- step1(),
     {:ok, b} <- step2(a),
     {:ok, c} <- step3(b) do
  {:ok, c}
else
  {:error, reason} -> {:error, reason}
end

5. Collections & Enum {#collections}

# ❌ Multiple passes when one suffices
items
|> Enum.filter(&(&1.active))
|> Enum.map(&(&1.name))

# ✅ — for comprehension when filter + transform
for %{active: true, name: name} <- items, do: name
# ❌ Enum.count for empty check (traverses whole list)
if Enum.count(list) == 0, do: :empty

# ✅
if Enum.empty?(list), do: :empty
# or pattern match:
case list do
  [] -> :empty
  _ -> :has_items
end
# ❌ Building map with Enum.reduce when Map.new works
Enum.reduce(users, %{}, fn user, acc -> Map.put(acc, user.id, user) end)

# ✅
Map.new(users, &{&1.id, &1})
# ❌ Enum on large dataset (eager — builds intermediate lists)
huge_list
|> Enum.map(&transform/1)
|> Enum.filter(&valid?/1)
|> Enum.take(10)

# ✅ — Stream for lazy evaluation
huge_list
|> Stream.map(&transform/1)
|> Stream.filter(&valid?/1)
|> Enum.take(10)

Use Stream when chaining transforms on large/infinite collections. Enum for small or final step.


6. Structs & Protocols {#structs}

# ❌ Plain map for domain entities
user = %{name: "Alice", email: "a@b.com", age: 30}
# typo in key goes unnoticed: user.emaail

# ✅ — struct enforces keys
defmodule User do
  @enforce_keys [:name, :email]
  defstruct [:name, :email, age: 0]
end
user = %User{name: "Alice", email: "a@b.com"}
# ❌ Protocol with only one implementation (over-abstraction)
defprotocol Renderable do
  def render(data)
end
defimpl Renderable, for: HtmlPage do ... end

# ✅ — just a function until you need polymorphism
def render(%HtmlPage{} = page), do: ...
# ❌ Updating nested struct manually
updated = %{user | address: %{user.address | city: "NYC"}}

# ✅
updated = put_in(user.address.city, "NYC")
# or Kernel.update_in/3 for transforms

7. Anti-patterns specific to Elixir/Erlang {#antipatterns}

Anti-pattern Preferred
spawn without link/monitor Task.start_link or GenServer
try/catch inside GenServer let it crash; supervisor restarts
String error reasons atom or struct errors
Enum.count(x) == 0 Enum.empty?(x) or match?([], x)
Mutable-style accumulator Enum.reduce / recursion
if/else chain on data shape multi-clause function + pattern match
Nested case for ok/error with expression
IO.inspect left in prod Logger with levels
Single-step pipe direct function call
Enum on huge/infinite data Stream
Raw PID passing named processes / Registry
Boolean returns for success/fail {:ok, val} / {:error, reason} tuples
length(list) > 0 (O(n)) pattern match `[_
Shared mutable state via ETS without wrapper GenServer or Agent as access layer

Limitations

  • These are language-specific guidelines and do not cover overall architectural decisions.
  • Over-compression might reduce readability; apply judgement.
Info
Category Development
Name elixir
Version v20260617
Size 8.06KB
Updated At 2026-06-18
Language