Dialyzer Analysis
Understanding and fixing Dialyzer warnings in Erlang and Elixir code.
Type Specifications
Basic Specs
@spec add(integer(), integer()) :: integer() def add(a, b), do: a + b
@spec get_user(pos_integer()) :: {:ok, User.t()} | {:error, atom()} def get_user(id) do
implementation
end
Complex Types
@type user :: %{ id: pos_integer(), name: String.t(), email: String.t(), role: :admin | :user | :guest }
@spec process_users([user()]) :: {:ok, [user()]} | {:error, String.t()}
Generic Types
@spec map_values(map(), (any() -> any())) :: map() @spec filter_list([t], (t -> boolean())) :: [t] when t: any()
Common Warnings
Pattern Match Coverage
Warning: pattern match is not exhaustive
case value do :ok -> :success
Missing :error case
end
Fixed
case value do :ok -> :success :error -> :failure _ -> :unknown end
No Return
Warning: function has no local return
def always_raises do raise "error" end
Fixed with spec
@spec always_raises :: no_return() def always_raises do raise "error" end
Unmatched Returns
Warning: unmatched return
def process do {:error, "failed"} # Return value not used :ok end
Fixed
def process do case do_something() do {:error, reason} -> handle_error(reason) :ok -> :ok end end
Unknown Functions
Warning: unknown function
SomeModule.undefined_function()
Fixed: ensure function exists or handle dynamically
if Code.ensure_loaded?(SomeModule) and function_exported?(SomeModule, :function_name, 1) do SomeModule.function_name(arg) end
Type Analysis Patterns
Union Types
@type result :: :ok | {:ok, any()} | {:error, String.t()}
@spec handle_result(result()) :: any() def handle_result(:ok), do: nil def handle_result({:ok, value}), do: value def handle_result({:error, msg}), do: Logger.error(msg)
Opaque Types
@opaque internal_state :: %{data: map(), timestamp: integer()}
@spec new() :: internal_state() def new, do: %{data: %{}, timestamp: System.system_time()}
Remote Types
@spec process_conn(Plug.Conn.t()) :: Plug.Conn.t() @spec format_date(Date.t()) :: String.t()
Success Typing
Dialyzer uses success typing:
-
Approximates what a function can succeed with
-
Different from traditional type systems
-
May miss some errors, but no false positives (in theory)
Example
Dialyzer infers: integer() -> integer()
def double(x), do: x * 2
More specific spec
@spec double(pos_integer()) :: pos_integer() def double(x) when x > 0, do: x * 2
Best Practices
-
Start with Core Modules: Add specs to public APIs first
-
Use Strict Types: Prefer specific types over any()
-
Document Assumptions: Use specs to document expected behavior
-
Test Specs: Ensure specs match actual behavior
-
Iterative Fixing: Fix warnings incrementally
Debugging Tips
Verbose Output
mix dialyzer --format dialyzer
Explain Warnings
mix dialyzer --explain
Check Specific Files
mix dialyzer lib/my_module.ex