28 KiB
Elixir Core vs Phoenix: Side-by-Side Comparison
How the same concepts are approached differently (or similarly) between Elixir core and Phoenix.
Process Lifecycle
| Aspect | Elixir Core | Phoenix |
|---|---|---|
| Default restart | :permanent (GenServer, Supervisor) |
:temporary (Channel) |
| Hibernation | Not set by default | 15s idle → hibernate (Channel) |
| Process identity | Registry :via tuples |
Topic-based (channels identified by topic) |
| Supervision | Direct supervisor reference | Endpoint supervisor manages all |
Source (Elixir): lib/elixir/lib/gen_server.ex:911-919 (child_spec defaults to :permanent via Supervisor.child_spec)
Source (Phoenix): lib/phoenix/channel.ex:464-472 (explicit restart: :temporary)
When to Use
Triggers:
- You are designing a new process and need to choose lifecycle semantics
- You are deciding between Registry-based identity vs topic-based identity
- You need to choose a supervision strategy for client-bound vs autonomous processes
Example — before:
# Copying Elixir defaults without thinking about the domain
defmodule MyApp.WebSocketSession do
use GenServer
# restart: :permanent (default) — but this is client-bound!
# If it crashes, it restarts without a client → zombie process
def init({user_id, ws_pid}) do
{:ok, %{user_id: user_id, ws_pid: ws_pid}}
end
end
Example — after:
# Choosing lifecycle semantics based on the domain
defmodule MyApp.WebSocketSession do
use GenServer, restart: :temporary, hibernate_after: 15_000
# temporary: client will reconnect if needed
# hibernate: many idle sessions expected
def init({user_id, ws_pid}) do
Process.monitor(ws_pid) # die when client disconnects
{:ok, %{user_id: user_id, ws_pid: ws_pid}}
end
end
When NOT to Use
Don't use this when: You are blindly applying Phoenix's :temporary + hibernation to all processes regardless of their role.
Over-application example:
# Bad: Applying channel-style lifecycle to a stateful worker
defmodule MyApp.OrderFulfillment do
use GenServer, restart: :temporary, hibernate_after: 15_000
# This process processes orders from a queue
# If it crashes, orders are lost (temporary = no restart)
# It's always active processing — hibernate never triggers
end
Better alternative:
# Match lifecycle to the process's role
defmodule MyApp.OrderFulfillment do
use GenServer # restart: :permanent (default) — must survive crashes
# No hibernate_after — always active, processing queue items
def init(state) do
# On restart, resume from last checkpoint
{:ok, recover_state(state)}
end
end
Why: Phoenix's lifecycle choices (temporary, hibernation) are optimized for client-bound, mostly-idle processes. Autonomous workers that own state need permanent restart and don't benefit from hibernation.
Error Handling
| Aspect | Elixir Core | Phoenix |
|---|---|---|
| Exception design | Minimal struct fields | HTTP-aware (plug_status) |
| Bang functions | File.read! raises |
broadcast! raises |
| Failure response | {:error, reason} tuple |
{:error, reason} + HTTP status |
| Recovery | Supervisor restart | Client reconnection |
Source (Elixir): lib/elixir/lib/agent.ex:187 (standard on_start type: {:ok, pid} | {:error, ...})
Source (Phoenix): lib/phoenix/router.ex:2-6 (NoRouteError with plug_status: 404)
When to Use
Triggers:
- You are defining error types for a web application
- You need to decide between
{:error, reason}tuples vs raising exceptions - You want consistent error semantics across HTTP and internal code
Example — before:
# Mixing error strategies inconsistently
defmodule MyApp.Accounts do
def get_user(id) do
case Repo.get(User, id) do
nil -> raise "User not found" # Raises in domain code — forces rescue everywhere
user -> user
end
end
def update_user(user, attrs) do
# Returns tuple here but raised above — inconsistent
User.changeset(user, attrs) |> Repo.update()
end
end
Example — after:
# Elixir-style: tuples in domain, exceptions at boundaries
defmodule MyApp.Accounts do
def get_user(id) do
case Repo.get(User, id) do
nil -> {:error, :not_found}
user -> {:ok, user}
end
end
def get_user!(id) do
Repo.get!(User, id) # Bang version raises — for use at boundaries
end
def update_user(user, attrs) do
User.changeset(user, attrs) |> Repo.update()
end
end
# Controller uses bang (boundary) or handles tuple
defmodule MyAppWeb.UserController do
def show(conn, %{"id" => id}) do
user = Accounts.get_user!(id) # Raises → 404 via ErrorView
render(conn, :show, user: user)
end
end
When NOT to Use
Don't use this when: You're embedding HTTP semantics deep in domain logic, or when you're using exceptions for control flow in non-error paths.
Over-application example:
# Bad: Using exceptions for expected business outcomes
defmodule MyApp.Checkout do
def apply_coupon(cart, code) do
case Coupons.validate(code) do
{:ok, coupon} -> {:ok, apply_discount(cart, coupon)}
{:error, :expired} -> raise %CouponExpiredError{plug_status: 422}
{:error, :invalid} -> raise %CouponInvalidError{plug_status: 422}
# Expired/invalid coupons are expected outcomes, not exceptions!
end
end
end
Better alternative:
# Return tuples for expected outcomes — only raise for truly exceptional cases
defmodule MyApp.Checkout do
def apply_coupon(cart, code) do
case Coupons.validate(code) do
{:ok, coupon} -> {:ok, apply_discount(cart, coupon)}
{:error, reason} -> {:error, reason} # Let controller decide HTTP response
end
end
end
Why: Exceptions should be exceptional. Expected business outcomes (invalid coupon, insufficient funds, duplicate email) are not bugs — they're normal paths that should return tuples. Reserve exceptions for truly unexpected states.
Behaviour Design
| Aspect | Elixir Core | Phoenix |
|---|---|---|
| Required callbacks | Most are optional | Only join/3 required (Channel) |
__using__ generates |
child_spec/1 + @behaviour |
child_spec + behaviour + config + imports |
| Configuration | Via use Module, opts |
Via use Module, opts + module attributes |
| Before-compile | Rarely used | Heavily used (routes, intercepts) |
Source (Elixir): lib/elixir/lib/gen_server.ex:899-919 (using generates child_spec + @behaviour)
Source (Phoenix): lib/phoenix/channel.ex:450-485 (using generates child_spec + behaviour + DSL setup)
When to Use
Triggers:
- You are designing a callback-based module (plugin system, handler framework)
- You need to decide which callbacks should be required vs optional
- You are choosing between minimal
__using__(Elixir-style) vs rich__using__(Phoenix-style)
Example — before:
# Over-specifying required callbacks — burdens implementers
defmodule MyApp.Handler do
@callback init(opts :: keyword()) :: {:ok, state :: term()}
@callback handle_event(event :: term(), state :: term()) :: {:ok, state :: term()}
@callback handle_error(error :: term(), state :: term()) :: {:ok, state :: term()}
@callback terminate(reason :: term(), state :: term()) :: :ok
@callback format_status(state :: term()) :: term()
# All required — implementers must define 5 functions even for simple cases
end
Example — after:
# Minimal required callbacks + sensible defaults (Phoenix-style)
defmodule MyApp.Handler do
@callback handle_event(event :: term(), state :: term()) :: {:ok, state :: term()}
# Only the essential callback is required
@optional_callbacks [handle_error: 2, terminate: 2]
defmacro __using__(opts) do
quote do
@behaviour MyApp.Handler
# Default implementations — override only what you need
def handle_error(error, state) do
Logger.error("Unhandled error: #{inspect(error)}")
{:ok, state}
end
def terminate(_reason, _state), do: :ok
defoverridable handle_error: 2, terminate: 2
end
end
end
When NOT to Use
Don't use this when: Every implementation genuinely needs all callbacks (no sensible defaults exist), or when __using__ would generate so much code that the user can't understand what their module does.
Over-application example:
# Bad: __using__ that generates everything — user's module is empty
defmodule MyApp.MagicModule do
defmacro __using__(_opts) do
quote do
# Generates 200 lines of functions, imports, attributes
# The user's module is just `use MyApp.MagicModule` with nothing else
# Impossible to understand, debug, or customize
end
end
end
Better alternative:
# Generate only the boilerplate; leave the interesting code to the user
defmodule MyApp.Handler do
defmacro __using__(opts) do
quote do
@behaviour MyApp.Handler
@impl true
def child_spec(init_arg) do
# Only generating the standard boilerplate
%{id: __MODULE__, start: {__MODULE__, :start_link, [init_arg]}}
end
defoverridable child_spec: 1
end
end
end
Why: __using__ should reduce boilerplate, not hide architecture. If a user can't tell what their module does without reading the macro source, the abstraction has gone too far.
Macro Usage
| Aspect | Elixir Core | Phoenix |
|---|---|---|
| Philosophy | Minimal, prefer functions | Justified by performance |
__using__ |
Generates 1-2 functions | Generates functions + sets up DSL |
| DSL creation | Avoided (except Kernel/SpecialForms) | Embraced (Router DSL) |
| Attribute accumulation | Rare | Central pattern (routes, sockets) |
Source (Elixir): lib/elixir/lib/gen_server.ex:899 — simple __using__ (behaviour + child_spec + defaults)
Source (Phoenix): lib/phoenix/router.ex:288-312 — complex DSL setup with attribute accumulation, imports, and @before_compile
When to Use
Triggers:
- You need compile-time code generation for performance (hot path optimization)
- You are building a user-facing DSL where macros enable a natural syntax
- The alternative (runtime dispatch, dynamic functions) has measurable performance cost
Example — before:
# Runtime dispatch — acceptable for most code
defmodule MyApp.Serializer do
@formats %{json: Jason, msgpack: Msgpax, csv: NimbleCSV}
def encode(data, format) do
module = Map.fetch!(@formats, format)
module.encode!(data)
end
end
Example — after:
# Compile-time dispatch — justified if called millions of times/sec
defmodule MyApp.Serializer do
@formats %{json: Jason, msgpack: Msgpax, csv: NimbleCSV}
for {format, module} <- @formats do
def encode(data, unquote(format)) do
unquote(module).encode!(data)
end
end
end
When NOT to Use
Don't use this when: A function would work fine, the code path isn't hot, or the macro makes error messages and stack traces harder to understand.
Over-application example:
# Bad: Macro for something called once at startup
defmacro configure(opts) do
quote do
@config unquote(opts)
def config, do: @config
end
end
# Used once:
configure(database: "myapp", pool_size: 10)
Better alternative:
# A function — simpler, debuggable, no compile-time complexity
def config do
%{database: "myapp", pool_size: 10}
end
Why: Every macro is a bet that compile-time complexity pays for itself in runtime performance or developer ergonomics. If neither benefit materializes (cold path, simple structure), the macro just adds confusion.
Module Organization
| Aspect | Elixir Core | Phoenix |
|---|---|---|
| File naming | gen_server.ex (snake_case) |
controller.ex (snake_case) |
| Nesting | 2 levels max (Task.Supervised) |
2-3 levels (Phoenix.Channel.Server) |
| Internal modules | @moduledoc false |
@moduledoc false |
| Public API | Functions on the main module | Functions + macros on the main module |
Both follow the same convention: public API on the parent module, implementation details in nested submodules with @moduledoc false.
When to Use
Triggers:
- You are organizing a library or application into modules
- You need to decide what's public API vs internal implementation
- You are choosing module nesting depth
Example — before:
# Flat structure — everything exposed, no clear boundaries
defmodule MyApp.Auth do ... end
defmodule MyApp.AuthToken do ... end
defmodule MyApp.AuthSession do ... end
defmodule MyApp.AuthHelpers do ... end
defmodule MyApp.AuthPasswordReset do ... end
# Which ones are public API? Which are implementation details?
Example — after:
# Nested with clear public/private boundaries
defmodule MyApp.Auth do
@moduledoc "Public authentication API"
# Public: login/2, logout/1, current_user/1
end
defmodule MyApp.Auth.Token do
@moduledoc false # Internal — used by Auth, not called directly
end
defmodule MyApp.Auth.Session do
@moduledoc false # Internal
end
When NOT to Use
Don't use this when: Nesting creates deeply nested modules (4+ levels) that are hard to reference, or when flat organization genuinely reflects the lack of hierarchy.
Over-application example:
# Bad: Excessive nesting — hard to type, hard to alias
defmodule MyApp.Accounts.Users.Authentication.Strategies.OAuth.Google.Callback do
# 7 levels deep — unmanageable
end
Better alternative:
# 2-3 levels max — clear but manageable
defmodule MyApp.Accounts.OAuth do
@moduledoc "OAuth authentication strategies"
def google_callback(params), do: # ...
def github_callback(params), do: # ...
end
Why: Module nesting should reflect logical containment, not directory structure. Beyond 3 levels, the module names become unwieldy and the hierarchy stops communicating useful information.
State Management
| Aspect | Elixir Core | Phoenix |
|---|---|---|
| Agent | Simple state, function-based access | Socket assigns (assign/2) |
| GenServer | Full control, handle_call/cast/info | Channel handles (same callbacks) |
| State shape | Any term (developer's choice) | %Socket{} struct (framework-defined) |
| State access | Direct in callbacks | Via socket.assigns |
Source (Elixir): lib/elixir/lib/agent.ex:62-82 (compute in server vs client pattern)
Source (Phoenix): lib/phoenix/channel.ex:463 (import Phoenix.Socket, only: [assign: 3, assign: 2])
When to Use
Triggers:
- You are choosing a state management approach for a new process
- You need to decide between free-form state vs structured assigns
- You are designing a framework/library that manages state on behalf of users
Example — before:
# Unstructured state — grows into a mess
defmodule MyApp.ChatRoom do
use GenServer
def init(_) do
{:ok, %{}} # What goes here? Nobody knows until they read all handlers
end
def handle_call(:get_users, _from, state) do
{:reply, state.users, state} # Hope `users` key exists...
end
def handle_cast({:add_message, msg}, state) do
messages = [msg | state[:messages] || []]
{:noreply, Map.put(state, :messages, messages)}
end
end
Example — after:
# Structured state with assigns pattern (Phoenix-style)
defmodule MyApp.ChatRoom do
use GenServer
defstruct [:room_id, users: MapSet.new(), messages: []]
def init(room_id) do
{:ok, %__MODULE__{room_id: room_id}}
end
def handle_call(:get_users, _from, %{users: users} = state) do
{:reply, MapSet.to_list(users), state}
end
def handle_cast({:add_message, msg}, state) do
{:noreply, %{state | messages: [msg | state.messages]}}
end
end
When NOT to Use
Don't use this when: The state is genuinely simple (a counter, a single value) and a struct adds unnecessary ceremony.
Over-application example:
# Bad: Over-engineering state for a simple counter
defmodule MyApp.Counter do
use GenServer
defstruct [:name, :namespace, :created_at, value: 0, history: [], metadata: %{}]
def init(opts) do
{:ok, %__MODULE__{
name: opts[:name],
namespace: opts[:namespace] || :default,
created_at: DateTime.utc_now(),
metadata: %{version: 1}
}}
end
# All this for increment/decrement...
end
Better alternative:
# Simple state for simple needs
defmodule MyApp.Counter do
use Agent
def start_link(initial \\ 0) do
Agent.start_link(fn -> initial end)
end
def increment(counter), do: Agent.update(counter, &(&1 + 1))
def value(counter), do: Agent.get(counter, & &1)
end
Why: State structure should match problem complexity. A counter doesn't need a struct. A chat room with users, messages, and metadata does. Match the tool to the job.
Documentation
| Aspect | Elixir Core | Phoenix |
|---|---|---|
| Moduledoc size | Very large (GenServer: 530 lines) | Large (Router: ~260 lines) |
| Examples | Doctests (verified by tests) | Examples in docs (not always doctests) |
| Admonitions | Info blocks for use |
Info blocks for use |
| Guides | Linked from moduledoc | Linked from moduledoc |
| Deprecation | @doc deprecated: "Use X instead" |
Inline comments (TODO markers) |
Both use the same documentation infrastructure (ExDoc), but Elixir core tends toward more exhaustive docs (GenServer's moduledoc is essentially a tutorial).
When to Use
Triggers:
- You are writing a public API (library or shared module)
- You need to decide between doctests vs example blocks
- You are structuring documentation for a complex module
Example — before:
# Minimal docs — users have to read source to understand
defmodule MyApp.Cache do
@moduledoc "A cache."
@doc "Gets a value."
def get(key), do: # ...
@doc "Puts a value."
def put(key, value), do: # ...
end
Example — after:
# Rich docs with examples and context (Elixir core style)
defmodule MyApp.Cache do
@moduledoc """
An in-memory cache with TTL support.
## Usage
cache = MyApp.Cache.start_link(ttl: :timer.minutes(5))
MyApp.Cache.put(cache, "key", "value")
MyApp.Cache.get(cache, "key")
#=> {:ok, "value"}
## Options
* `:ttl` - Time-to-live in milliseconds (default: 60_000)
* `:max_size` - Maximum entries (default: 1000)
## Eviction
When `max_size` is exceeded, the oldest entries are evicted first (FIFO).
"""
@doc """
Gets a value by key.
Returns `{:ok, value}` if found, `:error` if missing or expired.
## Examples
iex> {:ok, cache} = MyApp.Cache.start_link([])
iex> MyApp.Cache.put(cache, "k", "v")
iex> MyApp.Cache.get(cache, "k")
{:ok, "v"}
iex> MyApp.Cache.get(cache, "missing")
:error
"""
def get(cache, key), do: # ...
end
When NOT to Use
Don't use this when: The module is internal (@moduledoc false), or when docs would just restate the function name.
Over-application example:
# Bad: Docs that add no information
defmodule MyApp.Internal.Helper do
@moduledoc "Internal helper module."
@doc "Adds two numbers."
def add(a, b), do: a + b
@doc "Subtracts b from a."
def subtract(a, b), do: a - b
end
Better alternative:
# Internal module — skip the ceremony
defmodule MyApp.Internal.Helper do
@moduledoc false
def add(a, b), do: a + b
def subtract(a, b), do: a - b
end
Why: Documentation exists to help users understand non-obvious behavior. If the function signature already communicates everything, docs are noise. Internal modules don't need public-facing documentation.
Configuration
| Aspect | Elixir Core | Phoenix |
|---|---|---|
| Compile-time | Module attributes | Application.compile_env |
| Runtime | Application env / init args | config/2 callback + Application env |
| Per-instance | Options to start_link |
Endpoint config per environment |
Source (Phoenix): lib/phoenix/endpoint.ex:422-430 (compile-time config checking)
var!(code_reloading?) =
Application.compile_env(@otp_app, [__MODULE__, :code_reloader], false)
This pattern — reading config at compile time and validating it against runtime — is Phoenix-specific. Elixir core reads config only at runtime.
When to Use
Triggers:
- You need compile-time decisions (code generation, conditional compilation)
- You want to catch configuration errors at build time, not production runtime
- You have config that truly cannot change after compilation (module structure, generated functions)
Example — before:
# Runtime config check on every call — wasteful for static decisions
defmodule MyApp.Mailer do
def deliver(email) do
if Application.get_env(:my_app, :enable_emails, true) do
# Actually send
HTTPClient.post(email)
else
# Dev mode — just log
Logger.info("Would send: #{inspect(email)}")
end
end
end
Example — after:
# Compile-time decision — no runtime branch for static config
defmodule MyApp.Mailer do
@send_emails Application.compile_env(:my_app, :enable_emails, true)
if @send_emails do
def deliver(email), do: HTTPClient.post(email)
else
def deliver(email), do: Logger.info("Would send: #{inspect(email)}")
end
end
When NOT to Use
Don't use this when: The config might change at runtime (feature flags, environment variables read at startup), or when you need different behavior across nodes in a release.
Over-application example:
# Bad: Compile-time config for something that should be toggleable
defmodule MyApp.FeatureFlags do
@dark_mode Application.compile_env(:my_app, :dark_mode, false)
# Can't toggle dark mode without recompiling and redeploying!
def dark_mode_enabled?, do: @dark_mode
end
Better alternative:
# Runtime config for things that change
defmodule MyApp.FeatureFlags do
def dark_mode_enabled? do
Application.get_env(:my_app, :dark_mode, false)
end
end
Why: compile_env bakes the value into the BEAM bytecode. It's correct for structural decisions (which modules to compile, which code paths to include) but wrong for operational toggles that need to change without redeployment.
Telemetry
| Aspect | Elixir Core | Phoenix |
|---|---|---|
| Built-in events | None (telemetry is a separate library) | Extensive event catalog |
| Instrumentation | Manual by library authors | Baked into router, endpoint, socket |
| Event naming | Varies by library | [:phoenix, :component, :phase] convention |
| Logging | Logger calls |
Telemetry → Logger adapter (Phoenix.Logger) |
Source (Phoenix): lib/phoenix/logger.ex:7-50 (telemetry event catalog)
Source (Phoenix): lib/phoenix/router.ex:400-438 (telemetry in router dispatch)
Phoenix wraps every request dispatch in telemetry start/stop/exception events. This provides distributed tracing, monitoring, and logging without any application code changes.
When to Use
Triggers:
- You are building a library or framework that others will monitor
- You want to provide observability hooks without coupling to specific monitoring tools
- You need structured event emission at well-defined lifecycle points
Example — before:
# Coupled to Logger — users can't plug in Prometheus/Datadog
defmodule MyApp.Queue do
require Logger
def process(job) do
start = System.monotonic_time()
result = do_work(job)
duration = System.monotonic_time() - start
Logger.info("Job #{job.id} completed in #{duration}ns")
result
end
end
Example — after:
# Telemetry events — any monitoring tool can attach
defmodule MyApp.Queue do
def process(job) do
start = System.monotonic_time()
metadata = %{job_id: job.id, queue: job.queue}
:telemetry.execute([:my_app, :queue, :start], %{system_time: System.system_time()}, metadata)
result = do_work(job)
duration = System.monotonic_time() - start
:telemetry.execute([:my_app, :queue, :stop], %{duration: duration}, metadata)
result
rescue
e ->
:telemetry.execute([:my_app, :queue, :exception], %{duration: System.monotonic_time() - start}, metadata)
reraise e, __STACKTRACE__
end
end
When NOT to Use
Don't use this when: You just need simple logging for debugging, or when the overhead of telemetry events isn't justified (internal helpers called rarely).
Over-application example:
# Bad: Telemetry on a trivial helper function
defmodule MyApp.StringUtils do
def capitalize_name(name) do
:telemetry.execute([:my_app, :string_utils, :capitalize, :start], %{}, %{})
result = String.capitalize(name)
:telemetry.execute([:my_app, :string_utils, :capitalize, :stop], %{}, %{})
result
end
end
Better alternative:
# Just a function — no instrumentation needed
defmodule MyApp.StringUtils do
def capitalize_name(name), do: String.capitalize(name)
end
Why: Telemetry adds function call overhead and complexity. It's justified at boundaries (HTTP requests, DB queries, queue processing) where measurements drive operational decisions. Pure utility functions don't need observability hooks.
Testing
| Aspect | Elixir Core | Phoenix |
|---|---|---|
| Test helper | ExUnit.Case |
Phoenix.ConnTest, Phoenix.ChannelTest |
| Test subject | Module functions | Endpoint (full plug pipeline) |
| Communication | Direct function calls | HTTP verbs (ConnTest), messages (ChannelTest) |
| Isolation | Process per test | Process per test + sandbox (Ecto) |
Source (Phoenix): lib/phoenix/test/conn_test.ex:1-30 (endpoint-based integration testing)
Source (Phoenix): lib/phoenix/test/channel_test.ex:1-30 (process-based channel testing)
Phoenix test helpers test at the integration level by default — ConnTest dispatches through the full plug pipeline, ChannelTest exercises the full channel lifecycle via message passing. This catches middleware bugs that unit tests miss.
When to Use
Triggers:
- You are testing Phoenix controllers, channels, or LiveViews
- You want to verify the full request/response cycle including middleware
- You need to test auth, CSRF, session handling, and content negotiation together
Example — before:
# Testing at the wrong level — too low for web, misses middleware
defmodule MyAppWeb.ApiTest do
use ExUnit.Case
test "returns user data" do
# Calling controller directly — bypasses auth, rate limiting, CORS
conn = Phoenix.ConnTest.build_conn()
result = MyAppWeb.ApiController.show(conn, %{"id" => "1"})
assert result.status == 200
end
end
Example — after:
# Testing at the right level — full integration through endpoint
defmodule MyAppWeb.ApiTest do
use MyAppWeb.ConnCase
test "returns 401 without auth token" do
conn = get(build_conn(), ~p"/api/users/1")
assert json_response(conn, 401)
end
test "returns user data with valid token" do
user = insert(:user)
conn =
build_conn()
|> put_req_header("authorization", "Bearer #{generate_token(user)}")
|> get(~p"/api/users/#{user}")
assert %{"id" => id, "name" => name} = json_response(conn, 200)
assert id == user.id
end
end
When NOT to Use
Don't use this when: You are testing pure business logic, schema validations, or context functions that have no HTTP concerns.
Over-application example:
# Bad: Using ConnCase for everything, even non-HTTP logic
defmodule MyApp.MathTest do
use MyAppWeb.ConnCase # Starts endpoint, sets up sandbox — all unnecessary
test "adds numbers" do
assert MyApp.Math.add(1, 2) == 3
end
end
Better alternative:
# Use the lightest test case that works
defmodule MyApp.MathTest do
use ExUnit.Case, async: true
test "adds numbers" do
assert MyApp.Math.add(1, 2) == 3
end
end
Why: ConnCase starts the endpoint supervisor, sets up the Ecto sandbox, and configures HTTP testing infrastructure. For pure functions, that's wasted setup time and obscured intent. Use ExUnit.Case (or DataCase for DB tests) when HTTP isn't involved.