# Tasks

`Core.Task` — Type

    Task(func)

Create a `Task` (i.e. coroutine) to execute the given function `func` (which must be callable with no arguments). The task exits when this function returns.

Examples

    julia> a() = sum(i for i in 1:1000);

    julia> b = Task(a);

In this example, `b` is a runnable `Task` that hasn't started yet.

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`Base.@task` — Macro

    @task

Wrap an expression in a `Task` without executing it, and return the `Task`. This only creates a task, and does not run it.

Examples

    julia> a1() = sum(i for i in 1:1000);

    julia> b = @task a1();

    julia> istaskstarted(b)
    false

    julia> schedule(b);

    julia> yield();

    julia> istaskdone(b)
    true

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`Base.@async` — Macro

    @async

Wrap an expression in a `Task` and add it to the local machine's scheduler queue.

Values can be interpolated into `@async` via `$`, which copies the value directly into the constructed underlying closure. This allows you to insert the value of a variable, isolating the aysnchronous code from changes to the variable's value in the current task.

Julia 1.4

Interpolating values via `$` is available as of Julia 1.4.

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`Base.asyncmap` — Function

    asyncmap(f, c...; ntasks=0, batch_size=nothing)

Uses multiple concurrent tasks to map `f` over a collection (or multiple equal length collections). For multiple collection arguments, `f` is applied elementwise.

`ntasks` specifies the number of tasks to run concurrently. Depending on the length of the collections, if `ntasks` is unspecified, up to 100 tasks will be used for concurrent mapping.

`ntasks` can also be specified as a zero-arg function. In this case, the number of tasks to run in parallel is checked before processing every element and a new task started if the value of `ntasks_func` is less than the current number of tasks.

If `batch_size` is specified, the collection is processed in batch mode. `f` must then be a function that must accept a `Vector` of argument tuples and must return a vector of results. The input vector will have a length of `batch_size` or less.

The following examples highlight execution in different tasks by returning the `objectid` of the tasks in which the mapping function is executed.

First, with `ntasks` undefined, each element is processed in a different task.

    julia> tskoid() = objectid(current_task());

    julia> asyncmap(x->tskoid(), 1:5)
    5-element Array{UInt64,1}:
     0x6e15e66c75c75853
     0x440f8819a1baa682
     0x9fb3eeadd0c83985
     0xebd3e35fe90d4050
     0x29efc93edce2b961

    julia> length(unique(asyncmap(x->tskoid(), 1:5)))
    5

With `ntasks=2` all elements are processed in 2 tasks.

    julia> asyncmap(x->tskoid(), 1:5; ntasks=2)
    5-element Array{UInt64,1}:
     0x027ab1680df7ae94
     0xa23d2f80cd7cf157
     0x027ab1680df7ae94
     0xa23d2f80cd7cf157
     0x027ab1680df7ae94

    julia> length(unique(asyncmap(x->tskoid(), 1:5; ntasks=2)))
    2

With `batch_size` defined, the mapping function needs to be changed to accept an array of argument tuples and return an array of results. `map` is used in the modified mapping function to achieve this.

    julia> batch_func(input) = map(x->string("args_tuple: ", x, ", element_val: ", x[1], ", task: ", tskoid()), input)
    batch_func (generic function with 1 method)

    julia> asyncmap(batch_func, 1:5; ntasks=2, batch_size=2)
    5-element Array{String,1}:
     "args_tuple: (1,), element_val: 1, task: 9118321258196414413"
     "args_tuple: (2,), element_val: 2, task: 4904288162898683522"
     "args_tuple: (3,), element_val: 3, task: 9118321258196414413"
     "args_tuple: (4,), element_val: 4, task: 4904288162898683522"
     "args_tuple: (5,), element_val: 5, task: 9118321258196414413"

Note

Currently, all tasks in Julia are executed in a single OS thread co-operatively. Consequently, `asyncmap` is beneficial only when the mapping function involves any I/O - disk, network, remote worker invocation, etc.

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`Base.asyncmap!` — Function

    asyncmap!(f, results, c...; ntasks=0, batch_size=nothing)

Like `asyncmap`, but stores output in `results` rather than returning a collection.

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`Base.current_task` — Function

    current_task()

Get the currently running `Task`.

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`Base.istaskdone` — Function

    istaskdone(t::Task) -> Bool

Determine whether a task has exited.

Examples

    julia> a2() = sum(i for i in 1:1000);

    julia> b = Task(a2);

    julia> istaskdone(b)
    false

    julia> schedule(b);

    julia> yield();

    julia> istaskdone(b)
    true

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`Base.istaskstarted` — Function

    istaskstarted(t::Task) -> Bool

Determine whether a task has started executing.

Examples

    julia> a3() = sum(i for i in 1:1000);

    julia> b = Task(a3);

    julia> istaskstarted(b)
    false

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`Base.istaskfailed` — Function

    istaskfailed(t::Task) -> Bool

Determine whether a task has exited because an exception was thrown.

Examples

    julia> a4() = error("task failed");

    julia> b = Task(a4);

    julia> istaskfailed(b)
    false

    julia> schedule(b);

    julia> yield();

    julia> istaskfailed(b)
    true

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`Base.task_local_storage` — Method

    task_local_storage(key)

Look up the value of a key in the current task's task-local storage.

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`Base.task_local_storage` — Method

    task_local_storage(key, value)

Assign a value to a key in the current task's task-local storage.

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`Base.task_local_storage` — Method

    task_local_storage(body, key, value)

Call the function `body` with a modified task-local storage, in which `value` is assigned to `key`; the previous value of `key`, or lack thereof, is restored afterwards. Useful for emulating dynamic scoping.

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## Scheduling

`Base.yield` — Function

    yield()

Switch to the scheduler to allow another scheduled task to run. A task that calls this function is still runnable, and will be restarted immediately if there are no other runnable tasks.

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    yield(t::Task, arg = nothing)

A fast, unfair-scheduling version of `schedule(t, arg); yield()` which immediately yields to `t` before calling the scheduler.

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`Base.yieldto` — Function

    yieldto(t::Task, arg = nothing)

Switch to the given task. The first time a task is switched to, the task's function is called with no arguments. On subsequent switches, `arg` is returned from the task's last call to `yieldto`. This is a low-level call that only switches tasks, not considering states or scheduling in any way. Its use is discouraged.

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`Base.sleep` — Function

    sleep(seconds)

Block the current task for a specified number of seconds. The minimum sleep time is 1 millisecond or input of `0.001`.

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`Base.schedule` — Function

    schedule(t::Task, [val]; error=false)

Add a `Task` to the scheduler's queue. This causes the task to run constantly when the system is otherwise idle, unless the task performs a blocking operation such as `wait`.

If a second argument `val` is provided, it will be passed to the task (via the return value of `yieldto`) when it runs again. If `error` is `true`, the value is raised as an exception in the woken task.

Examples

    julia> a5() = sum(i for i in 1:1000);

    julia> b = Task(a5);

    julia> istaskstarted(b)
    false

    julia> schedule(b);

    julia> yield();

    julia> istaskstarted(b)
    true

    julia> istaskdone(b)
    true

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## Synchronization

`Base.@sync` — Macro

    @sync

Wait until all lexically-enclosed uses of `@async`, `@spawn`, `@spawnat` and `@distributed` are complete. All exceptions thrown by enclosed async operations are collected and thrown as a `CompositeException`.

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`Base.wait` — Function

    wait([x])

Block the current task until some event occurs, depending on the type of the argument:

- `Channel`: Wait for a value to be appended to the channel.
- `Condition`: Wait for `notify` on a condition.
- `Process`: Wait for a process or process chain to exit. The `exitcode` field of a process can be used to determine success or failure.
- `Task`: Wait for a `Task` to finish. If the task fails with an exception, a `TaskFailedException` (which wraps the failed task) is thrown.
- `RawFD`: Wait for changes on a file descriptor (see the `FileWatching` package).

If no argument is passed, the task blocks for an undefined period. A task can only be restarted by an explicit call to `schedule` or `yieldto`.

Often `wait` is called within a `while` loop to ensure a waited-for condition is met before proceeding.

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    wait(r::Future)

Wait for a value to become available for the specified `Future`.

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    wait(r::RemoteChannel, args...)

Wait for a value to become available on the specified `RemoteChannel`.

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Special note for `Threads.Condition`:

The caller must be holding the `lock` that owns `c` before calling this method. The calling task will be blocked until some other task wakes it, usually by calling `notify` on the same Condition object. The lock will be atomically released when blocking (even if it was locked recursively), and will be reacquired before returning.

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`Base.fetch` — Method

    fetch(t::Task)

Wait for a Task to finish, then return its result value. If the task fails with an exception, a `TaskFailedException` (which wraps the failed task) is thrown.

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`Base.timedwait` — Function

    timedwait(testcb::Function, timeout::Real; pollint::Real=0.1)

Waits until `testcb` returns `true` or for `timeout` seconds, whichever is earlier. `testcb` is polled every `pollint` seconds. The minimum duration for `timeout` and `pollint` is 1 millisecond or `0.001`.

Returns :ok or :timed_out

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`Base.Condition` — Type

    Condition()

Create an edge-triggered event source that tasks can wait for. Tasks that call `wait` on a `Condition` are suspended and queued. Tasks are woken up when `notify` is later called on the `Condition`. Edge triggering means that only tasks waiting at the time `notify` is called can be woken up. For level-triggered notifications, you must keep extra state to keep track of whether a notification has happened. The `Channel` and `Threads.Event` types do this, and can be used for level-triggered events.

This object is NOT thread-safe. See `Threads.Condition` for a thread-safe version.

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`Base.notify` — Function

    notify(condition, val=nothing; all=true, error=false)

Wake up tasks waiting for a condition, passing them `val`. If `all` is `true` (the default), all waiting tasks are woken, otherwise only one is. If `error` is `true`, the passed value is raised as an exception in the woken tasks.

Return the count of tasks woken up. Return 0 if no tasks are waiting on `condition`.

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`Base.Semaphore` — Type

    Semaphore(sem_size)

Create a counting semaphore that allows at most `sem_size` acquires to be in use at any time. Each acquire must be matched with a release.

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`Base.acquire` — Function

    acquire(s::Semaphore)

Wait for one of the `sem_size` permits to be available, blocking until one can be acquired.

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`Base.release` — Function

    release(s::Semaphore)

Return one permit to the pool, possibly allowing another task to acquire it and resume execution.

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`Base.AbstractLock` — Type

    AbstractLock

Abstract supertype describing types that implement the synchronization primitives: `lock`, `trylock`, `unlock`, and `islocked`.

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`Base.lock` — Function

    lock(lock)

Acquire the `lock` when it becomes available. If the lock is already locked by a different task/thread, wait for it to become available.

Each `lock` must be matched by an `unlock`.

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    lock(f::Function, lock)

Acquire the `lock`, execute `f` with the `lock` held, and release the `lock` when `f` returns. If the lock is already locked by a different task/thread, wait for it to become available.

When this function returns, the `lock` has been released, so the caller should not attempt to `unlock` it.

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`Base.unlock` — Function

    unlock(lock)

Releases ownership of the `lock`.

If this is a recursive lock which has been acquired before, decrement an internal counter and return immediately.

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`Base.trylock` — Function

    trylock(lock) -> Success (Boolean)

Acquire the lock if it is available, and return `true` if successful. If the lock is already locked by a different task/thread, return `false`.

Each successful `trylock` must be matched by an `unlock`.

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`Base.islocked` — Function

    islocked(lock) -> Status (Boolean)

Check whether the `lock` is held by any task/thread. This should not be used for synchronization (see instead `trylock`).

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`Base.ReentrantLock` — Type

    ReentrantLock()

Creates a re-entrant lock for synchronizing `Task`s. The same task can acquire the lock as many times as required. Each `lock` must be matched with an `unlock`.

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## Channels

`Base.Channel` — Type

    Channel{T=Any}(size::Int=0)

Constructs a `Channel` with an internal buffer that can hold a maximum of `size` objects of type `T`. `put!` calls on a full channel block until an object is removed with `take!`.

`Channel(0)` constructs an unbuffered channel. `put!` blocks until a matching `take!` is called. And vice-versa.

Other constructors:

- `Channel()`: default constructor, equivalent to `Channel{Any}(0)`
- `Channel(Inf)`: equivalent to `Channel{Any}(typemax(Int))`
- `Channel(sz)`: equivalent to `Channel{Any}(sz)`

Julia 1.3

The default constructor `Channel()` and default `size=0` were added in Julia 1.3.

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`Base.Channel` — Method

    Channel{T=Any}(func::Function, size=0; taskref=nothing, spawn=false)

Create a new task from `func`, bind it to a new channel of type `T` and size `size`, and schedule the task, all in a single call.

`func` must accept the bound channel as its only argument.

If you need a reference to the created task, pass a `Ref{Task}` object via the keyword argument `taskref`.

If `spawn = true`, the Task created for `func` may be scheduled on another thread in parallel, equivalent to creating a task via `Threads.@spawn`.

Return a `Channel`.

Examples

    julia> chnl = Channel() do ch
               foreach(i -> put!(ch, i), 1:4)
           end;

    julia> typeof(chnl)
    Channel{Any}

    julia> for i in chnl
               @show i
           end;
    i = 1
    i = 2
    i = 3
    i = 4

Referencing the created task:

    julia> taskref = Ref{Task}();

    julia> chnl = Channel(taskref=taskref) do ch
               println(take!(ch))
           end;

    julia> istaskdone(taskref[])
    false

    julia> put!(chnl, "Hello");
    Hello

    julia> istaskdone(taskref[])
    true

Julia 1.3

The `spawn=` parameter was added in Julia 1.3. This constructor was added in Julia 1.3. In earlier versions of Julia, Channel used keyword arguments to set `size` and `T`, but those constructors are deprecated.

    julia> chnl = Channel{Char}(1, spawn=true) do ch
               for c in "hello world"
                   put!(ch, c)
               end
           end
    Channel{Char}(sz_max:1,sz_curr:1)

    julia> String(collect(chnl))
    "hello world"

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`Base.put!` — Method

    put!(c::Channel, v)

Append an item `v` to the channel `c`. Blocks if the channel is full.

For unbuffered channels, blocks until a `take!` is performed by a different task.

Julia 1.1

`v` now gets converted to the channel's type with `convert` as `put!` is called.

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`Base.take!` — Method

    take!(c::Channel)

Remove and return a value from a `Channel`. Blocks until data is available.

For unbuffered channels, blocks until a `put!` is performed by a different task.

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`Base.isready` — Method

    isready(c::Channel)

Determine whether a `Channel` has a value stored to it. Returns immediately, does not block.

For unbuffered channels returns `true` if there are tasks waiting on a `put!`.

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`Base.fetch` — Method

    fetch(c::Channel)

Wait for and get the first available item from the channel. Does not remove the item. `fetch` is unsupported on an unbuffered (0-size) channel.

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`Base.close` — Method

    close(c::Channel[, excp::Exception])

Close a channel. An exception (optionally given by `excp`), is thrown by:

- `put!` on a closed channel.
- `take!` and `fetch` on an empty, closed channel.

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`Base.bind` — Method

    bind(chnl::Channel, task::Task)

Associate the lifetime of `chnl` with a task. `Channel` `chnl` is automatically closed when the task terminates. Any uncaught exception in the task is propagated to all waiters on `chnl`.

The `chnl` object can be explicitly closed independent of task termination. Terminating tasks have no effect on already closed `Channel` objects.

When a channel is bound to multiple tasks, the first task to terminate will close the channel. When multiple channels are bound to the same task, termination of the task will close all of the bound channels.

Examples

    julia> c = Channel(0);

    julia> task = @async foreach(i->put!(c, i), 1:4);

    julia> bind(c,task);

    julia> for i in c
               @show i
           end;
    i = 1
    i = 2
    i = 3
    i = 4

    julia> isopen(c)
    false

    julia> c = Channel(0);

    julia> task = @async (put!(c, 1); error("foo"));

    julia> bind(c, task);

    julia> take!(c)
    1

    julia> put!(c, 1);
    ERROR: TaskFailedException:
    foo
    Stacktrace:
    [...]

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Theme

This document was generated with Documenter.jl on Sunday 2 August 2020. Using Julia version 1.5.0.