The Task struct.

It contains these fields:

• :mfa - a three-element tuple containing the module, function name, and arity invoked to start the task in async/1 and async/3

• :owner - the PID of the process that started the task

• :pid - the PID of the task process; nil if there is no process specifically assigned for the task

• :ref - an opaque term used as the task monitor reference

@spec async((-> any())) :: t()

Starts a task that must be awaited on.

fun must be a zero-arity anonymous function. This function spawns a process that is linked to and monitored by the caller process. A Task struct is returned containing the relevant information.

If you start an async, you must await. This is either done by calling Task.await/2 or Task.yield/2 followed by Task.shutdown/2 on the returned task. Alternatively, if you spawn a task inside a GenServer, then the GenServer will automatically await for you and call GenServer.handle_info/2 with the task response and associated :DOWN message.

Read the Task module documentation for more information about the general usage of async tasks.

linking

Linking

This function spawns a process that is linked to and monitored by the caller process. The linking part is important because it aborts the task if the parent process dies. It also guarantees the code before async/await has the same properties after you add the async call. For example, imagine you have this:

x = heavy_fun()
y = some_fun()
x + y

Now you want to make the heavy_fun() async:

x = Task.async(&heavy_fun/0)
y = some_fun()
Task.await(x) + y

As before, if heavy_fun/0 fails, the whole computation will fail, including the caller process. If you don't want the task to fail then you must change the heavy_fun/0 code in the same way you would achieve it if you didn't have the async call. For example, to either return {:ok, val} | :error results or, in more extreme cases, by using try/rescue. In other words, an asynchronous task should be thought of as an extension of the caller process rather than a mechanism to isolate it from all errors.

If you don't want to link the caller to the task, then you must use a supervised task with Task.Supervisor and call Task.Supervisor.async_nolink/2.

In any case, avoid any of the following:

• Setting :trap_exit to true - trapping exits should be used only in special circumstances as it would make your process immune to not only exits from the task but from any other processes.

  Moreover, even when trapping exits, calling await will still exit if the task has terminated without sending its result back.

• Unlinking the task process started with async/await. If you unlink the processes and the task does not belong to any supervisor, you may leave dangling tasks in case the caller process dies.

metadata

Metadata

The task created with this function stores :erlang.apply/2 in its :mfa metadata field, which is used internally to apply the anonymous function. Use async/3 if you want another function to be used as metadata.

@spec async(module(), atom(), [term()]) :: t()

Starts a task that must be awaited on.

Similar to async/1 except the function to be started is specified by the given module, function_name, and args. The module, function_name, and its arity are stored as a tuple in the :mfa field for reflection purposes.

@spec async_stream(Enumerable.t(), (term() -> term()), keyword()) :: Enumerable.t()

Returns a stream that runs the given function fun concurrently on each element in enumerable.

Works the same as async_stream/5 but with an anonymous function instead of a module-function-arguments tuple. fun must be a one-arity anonymous function.

Each enumerable element is passed as argument to the given function fun and processed by its own task. The tasks will be linked to the caller process, similarly to async/1.

example

Example

Count the code points in each string asynchronously, then add the counts together using reduce.

iex> strings = ["long string", "longer string", "there are many of these"]
iex> stream = Task.async_stream(strings, fn text -> text |> String.codepoints() |> Enum.count() end)
iex> Enum.reduce(stream, 0, fn {:ok, num}, acc -> num + acc end)
47

See async_stream/5 for discussion, options, and more examples.

@spec async_stream(Enumerable.t(), module(), atom(), [term()], keyword()) ::
  Enumerable.t()

Returns a stream where the given function (module and function_name) is mapped concurrently on each element in enumerable.

Each element of enumerable will be prepended to the given args and processed by its own task. Those tasks will be linked to an intermediate process that is then linked to the caller process. This means a failure in a task terminates the caller process and a failure in the caller process terminates all tasks.

When streamed, each task will emit {:ok, value} upon successful completion or {:exit, reason} if the caller is trapping exits. It's possible to have {:exit, {element, reason}} for exits using the :zip_input_on_exit option. The order of results depends on the value of the :ordered option.

The level of concurrency and the time tasks are allowed to run can be controlled via options (see the "Options" section below).

Consider using Task.Supervisor.async_stream/6 to start tasks under a supervisor. If you find yourself trapping exits to ensure errors in the tasks do not terminate the caller process, consider using Task.Supervisor.async_stream_nolink/6 to start tasks that are not linked to the caller process.

options

Options

• :max_concurrency - sets the maximum number of tasks to run at the same time. Defaults to System.schedulers_online/0.

• :ordered - whether the results should be returned in the same order as the input stream. When the output is ordered, Elixir may need to buffer results to emit them in the original order. Setting this option to false disables the need to buffer at the cost of removing ordering. This is also useful when you're using the tasks only for the side effects. Note that regardless of what :ordered is set to, the tasks will process asynchronously. If you need to process elements in order, consider using Enum.map/2 or Enum.each/2 instead. Defaults to true.

• :timeout - the maximum amount of time (in milliseconds or :infinity) each task is allowed to execute for. Defaults to 5000.

• :on_timeout - what to do when a task times out. The possible values are:

  • :exit (default) - the caller (the process that spawned the tasks) exits.
  • :kill_task - the task that timed out is killed. The value emitted for that task is {:exit, :timeout}.

• :zip_input_on_exit - (since v1.14.0) adds the original input to :exit tuples. The value emitted for that task is {:exit, {input, reason}}, where input is the collection element that caused an exited during processing. Defaults to false.

example

Example

Let's build a stream and then enumerate it:

stream = Task.async_stream(collection, Mod, :expensive_fun, [])
Enum.to_list(stream)

The concurrency can be increased or decreased using the :max_concurrency option. For example, if the tasks are IO heavy, the value can be increased:

max_concurrency = System.schedulers_online() * 2
stream = Task.async_stream(collection, Mod, :expensive_fun, [], max_concurrency: max_concurrency)
Enum.to_list(stream)

If you do not care about the results of the computation, you can run the stream with Stream.run/1. Also set ordered: false, as you don't care about the order of the results either:

stream = Task.async_stream(collection, Mod, :expensive_fun, [], ordered: false)
Stream.run(stream)

first-async-tasks-to-complete

First async tasks to complete

You can also use async_stream/3 to execute M tasks and find the N tasks to complete. For example:

[
  &heavy_call_1/0,
  &heavy_call_2/0,
  &heavy_call_3/0
]
|> Task.async_stream(fn fun -> fun.() end, ordered: false, max_concurrency: 3)
|> Stream.filter(&match?({:ok, _}, &1))
|> Enum.take(2)

In the example above, we are executing three tasks and waiting for the first 2 to complete. We use Stream.filter/2 to restrict ourselves only to successfully completed tasks, and then use Enum.take/2 to retrieve N items. Note it is important to set both ordered: false and max_concurrency: M, where M is the number of tasks, to make sure all calls execute concurrently.

attention-unbound-async-take

Attention: unbound async + take

If you want to potentially process a high number of items and keep only part of the results, you may end-up processing more items than desired. Let's see an example:

1..100
|> Task.async_stream(fn i ->
  Process.sleep(100)
  IO.puts(to_string(i))
end)
|> Enum.take(10)

Running the example above in a machine with 8 cores will process 16 items, even though you want only 10 elements, since async_stream/3 process items concurrently. That's because it will process 8 elements at once. Then all 8 elements complete at roughly the same time, causing 8 elements to be kicked off for processing. Out of these extra 8, only 2 will be used, and the rest will be terminated.

Depending on the problem, you can filter or limit the number of elements upfront:

1..100
|> Stream.take(10)
|> Task.async_stream(fn i ->
  Process.sleep(100)
  IO.puts(to_string(i))
end)
|> Enum.to_list()

In other cases, you likely want to tweak :max_concurrency to limit how many elements may be over processed at the cost of reducing concurrency. You can also set the number of elements to take to be a multiple of :max_concurrency. For instance, setting max_concurrency: 5 in the example above.

@spec await(t(), timeout()) :: term()

Awaits a task reply and returns it.

In case the task process dies, the caller process will exit with the same reason as the task.

A timeout, in milliseconds or :infinity, can be given with a default value of 5000. If the timeout is exceeded, then the caller process will exit. If the task process is linked to the caller process which is the case when a task is started with async, then the task process will also exit. If the task process is trapping exits or not linked to the caller process, then it will continue to run.

This function assumes the task's monitor is still active or the monitor's :DOWN message is in the message queue. If it has been demonitored, or the message already received, this function will wait for the duration of the timeout awaiting the message.

This function can only be called once for any given task. If you want to be able to check multiple times if a long-running task has finished its computation, use yield/2 instead.

examples

Examples

iex> task = Task.async(fn -> 1 + 1 end)
iex> Task.await(task)
2

compatibility-with-otp-behaviours

Compatibility with OTP behaviours

It is not recommended to await a long-running task inside an OTP behaviour such as GenServer. Instead, you should match on the message coming from a task inside your GenServer.handle_info/2 callback.

A GenServer will receive two messages on handle_info/2:

• {ref, result} - the reply message where ref is the monitor reference returned by the task.ref and result is the task result

• {:DOWN, ref, :process, pid, reason} - since all tasks are also monitored, you will also receive the :DOWN message delivered by Process.monitor/1. If you receive the :DOWN message without a a reply, it means the task crashed

Another consideration to have in mind is that tasks started by Task.async/1 are always linked to their callers and you may not want the GenServer to crash if the task crashes. Therefore, it is preferable to instead use Task.Supervisor.async_nolink/3 inside OTP behaviours. For completeness, here is an example of a GenServer that start tasks and handles their results:

defmodule GenServerTaskExample do
  use GenServer

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

  def init(_opts) do
    # We will keep all running tasks in a map
    {:ok, %{tasks: %{}}}
  end

  # Imagine we invoke a task from the GenServer to access a URL...
  def handle_call(:some_message, _from, state) do
    url = ...
    task = Task.Supervisor.async_nolink(MyApp.TaskSupervisor, fn -> fetch_url(url) end)

    # After we start the task, we store its reference and the url it is fetching
    state = put_in(state.tasks[task.ref], url)

    {:reply, :ok, state}
  end

  # If the task succeeds...
  def handle_info({ref, result}, state) do
    # The task succeed so we can demonitor its reference
    Process.demonitor(ref, [:flush])

    {url, state} = pop_in(state.tasks[ref])
    IO.puts "Got #{inspect(result)} for URL #{inspect url}"
    {:noreply, state}
  end

  # If the task fails...
  def handle_info({:DOWN, ref, _, _, reason}, state) do
    {url, state} = pop_in(state.tasks[ref])
    IO.puts "URL #{inspect url} failed with reason #{inspect(reason)}"
    {:noreply, state}
  end
end

With the server defined, you will want to start the task supervisor above and the GenServer in your supervision tree:

children = [
  {Task.Supervisor, name: MyApp.TaskSupervisor},
  {GenServerTaskExample, name: MyApp.GenServerTaskExample}
]

Supervisor.start_link(children, strategy: :one_for_one)

@spec await_many([t()], timeout()) :: [term()]

Awaits replies from multiple tasks and returns them.

This function receives a list of tasks and waits for their replies in the given time interval. It returns a list of the results, in the same order as the tasks supplied in the tasks input argument.

If any of the task processes dies, the caller process will exit with the same reason as that task.

A timeout, in milliseconds or :infinity, can be given with a default value of 5000. If the timeout is exceeded, then the caller process will exit. Any task processes that are linked to the caller process (which is the case when a task is started with async) will also exit. Any task processes that are trapping exits or not linked to the caller process will continue to run.

This function assumes the tasks' monitors are still active or the monitor's :DOWN message is in the message queue. If any tasks have been demonitored, or the message already received, this function will wait for the duration of the timeout.

This function can only be called once for any given task. If you want to be able to check multiple times if a long-running task has finished its computation, use yield_many/2 instead.

compatibility-with-otp-behaviours

Compatibility with OTP behaviours

It is not recommended to await long-running tasks inside an OTP behaviour such as GenServer. See await/2 for more information.

examples

Examples

iex> tasks = [
...>   Task.async(fn -> 1 + 1 end),
...>   Task.async(fn -> 2 + 3 end)
...> ]
iex> Task.await_many(tasks)
[2, 5]

@spec child_spec(term()) :: Supervisor.child_spec()

Returns a specification to start a task under a supervisor.

arg is passed as the argument to Task.start_link/1 in the :start field of the spec.

For more information, see the Supervisor module, the Supervisor.child_spec/2 function and the Supervisor.child_spec/0 type.

@spec completed(any()) :: t()

Starts a task that immediately completes with the given result.

Unlike async/1, this task does not spawn a linked process. It can be awaited or yielded like any other task.

usage

Usage

In some cases, it is useful to create a "completed" task that represents a task that has already run and generated a result. For example, when processing data you may be able to determine that certain inputs are invalid before dispatching them for further processing:

def process(data) do
  tasks =
    for entry <- data do
      if invalid_input?(entry) do
        Task.completed({:error, :invalid_input})
      else
        Task.async(fn -> further_process(entry) end)
      end
    end

  Task.await_many(tasks)
end

In many cases, Task.completed/1 may be avoided in favor of returning the result directly. You should generally only require this variant when working with mixed asynchrony, when a group of inputs will be handled partially synchronously and partially asynchronously.

@spec ignore(t()) :: {:ok, term()} | {:exit, term()} | nil

Ignores an existing task.

This means the task will continue running, but it will be unlinked and you can no longer yield, await or shut it down.

Returns {:ok, reply} if the reply is received before ignoring the task, {:exit, reason} if the task died before ignoring it, otherwise nil.

Important: avoid using Task.async/1,3 and then immediately ignoring the task. If you want to start tasks you don't care about their results, use Task.Supervisor.start_child/2 instead.

@spec shutdown(t(), timeout() | :brutal_kill) :: {:ok, term()} | {:exit, term()} | nil

Unlinks and shuts down the task, and then checks for a reply.

Returns {:ok, reply} if the reply is received while shutting down the task, {:exit, reason} if the task died, otherwise nil. Once shut down, you can no longer await or yield it.

The second argument is either a timeout or :brutal_kill. In case of a timeout, a :shutdown exit signal is sent to the task process and if it does not exit within the timeout, it is killed. With :brutal_kill the task is killed straight away. In case the task terminates abnormally (possibly killed by another process), this function will exit with the same reason.

It is not required to call this function when terminating the caller, unless exiting with reason :normal or if the task is trapping exits. If the caller is exiting with a reason other than :normal and the task is not trapping exits, the caller's exit signal will stop the task. The caller can exit with reason :shutdown to shut down all of its linked processes, including tasks, that are not trapping exits without generating any log messages.

If there is no process linked to the task, such as tasks started by Task.completed/1, we check for a response or error accordingly, but without shutting a process down.

If a task's monitor has already been demonitored or received and there is not a response waiting in the message queue this function will return {:exit, :noproc} as the result or exit reason can not be determined.

@spec start((-> any())) :: {:ok, pid()}

Starts a task.

fun must be a zero-arity anonymous function.

This should only used when the task is used for side-effects (like I/O) and you have no interest on its results nor if it completes successfully.

If the current node is shutdown, the node will terminate even if the task was not completed. For this reason, we recommend to use Task.Supervisor.start_child/2 instead, which allows you to control the shutdown time via the :shutdown option.

@spec start(module(), atom(), [term()]) :: {:ok, pid()}

Starts a task.

This should only used when the task is used for side-effects (like I/O) and you have no interest on its results nor if it completes successfully.

If the current node is shutdown, the node will terminate even if the task was not completed. For this reason, we recommend to use Task.Supervisor.start_child/2 instead, which allows you to control the shutdown time via the :shutdown option.

@spec start_link((-> any())) :: {:ok, pid()}

Starts a task as part of a supervision tree with the given fun.

fun must be a zero-arity anonymous function.

This is used to start a statically supervised task under a supervision tree.

@spec start_link(module(), atom(), [term()]) :: {:ok, pid()}

Starts a task as part of a supervision tree with the given module, function, and args.

This is used to start a statically supervised task under a supervision tree.

@spec yield(t(), timeout()) :: {:ok, term()} | {:exit, term()} | nil

Temporarily blocks the caller process waiting for a task reply.

Returns {:ok, reply} if the reply is received, nil if no reply has arrived, or {:exit, reason} if the task has already exited. Keep in mind that normally a task failure also causes the process owning the task to exit. Therefore this function can return {:exit, reason} if at least one of the conditions below apply:

• the task process exited with the reason :normal
• the task isn't linked to the caller (the task was started with Task.Supervisor.async_nolink/2 or Task.Supervisor.async_nolink/4)
• the caller is trapping exits

A timeout, in milliseconds or :infinity, can be given with a default value of 5000. If the time runs out before a message from the task is received, this function will return nil and the monitor will remain active. Therefore yield/2 can be called multiple times on the same task.

This function assumes the task's monitor is still active or the monitor's :DOWN message is in the message queue. If it has been demonitored or the message already received, this function will wait for the duration of the timeout awaiting the message.

If you intend to shut the task down if it has not responded within timeout milliseconds, you should chain this together with shutdown/1, like so:

case Task.yield(task, timeout) || Task.shutdown(task) do
  {:ok, result} ->
    result

  nil ->
    Logger.warning("Failed to get a result in #{timeout}ms")
    nil
end

If you intend to check on the task but leave it running after the timeout, you can chain this together with ignore/1, like so:

case Task.yield(task, timeout) || Task.ignore(task) do
  {:ok, result} ->
    result

  nil ->
    Logger.warning("Failed to get a result in #{timeout}ms")
    nil
end

That ensures that if the task completes after the timeout but before shutdown/1 has been called, you will still get the result, since shutdown/1 is designed to handle this case and return the result.

@spec yield_many([t()], timeout()) :: [{t(), {:ok, term()} | {:exit, term()} | nil}]

@spec yield_many([t()],
  timeout: timeout(),
  on_timeout: :nothing | :ignore | :kill_task
) :: [
  {t(), {:ok, term()} | {:exit, term()} | nil}
]

Yields to multiple tasks in the given time interval.

This function receives a list of tasks and waits for their replies in the given time interval. It returns a list of two-element tuples, with the task as the first element and the yielded result as the second. The tasks in the returned list will be in the same order as the tasks supplied in the tasks input argument.

Similarly to yield/2, each task's result will be

• {:ok, term} if the task has successfully reported its result back in the given time interval
• {:exit, reason} if the task has died
• nil if the task keeps running past the timeout

Check yield/2 for more information.

example

Example

Task.yield_many/2 allows developers to spawn multiple tasks and retrieve the results received in a given timeframe. If we combine it with Task.shutdown/2 (or Task.ignore/1), it allows us to gather those results and cancel (or ignore) the tasks that have not replied in time.

Let's see an example.

tasks =
  for i <- 1..10 do
    Task.async(fn ->
      Process.sleep(i * 1000)
      i
    end)
  end

tasks_with_results = Task.yield_many(tasks, timeout: 5000)

results =
  Enum.map(tasks_with_results, fn {task, res} ->
    # Shut down the tasks that did not reply nor exit
    res || Task.shutdown(task, :brutal_kill)
  end)

# Here we are matching only on {:ok, value} and
# ignoring {:exit, _} (crashed tasks) and `nil` (no replies)
for {:ok, value} <- results do
  IO.inspect(value)
end

In the example above, we create tasks that sleep from 1 up to 10 seconds and return the number of seconds they slept for. If you execute the code all at once, you should see 1 up to 5 printed, as those were the tasks that have replied in the given time. All other tasks will have been shut down using the Task.shutdown/2 call.

As a convenience, you can achieve a similar behaviour to above by specifying the :on_timeout option to be :kill_task (or :ignore). See Task.await_many/2 if you would rather exit the caller process on timeout.

options

Options

The second argument is either a timeout or options, which defaults to this:

• :timeout - the maximum amount of time (in milliseconds or :infinity) each task is allowed to execute for. Defaults to 5000.

• :on_timeout - what to do when a task times out. The possible values are:

  • :nothing - do nothing (default). The tasks can still be awaited on, yielded on, ignored, or shut down later.
  • :ignore - the results of the task will be ignored.
  • :kill_task - the task that timed out is killed.