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//! The Tokio runtime.
//!
//! Unlike other Rust programs, asynchronous applications require runtime
//! support. In particular, the following runtime services are necessary:
//!
//! * An **I/O event loop**, called the driver, which drives I/O resources and
//! dispatches I/O events to tasks that depend on them.
//! * A **scheduler** to execute [tasks] that use these I/O resources.
//! * A **timer** for scheduling work to run after a set period of time.
//!
//! Tokio's [`Runtime`] bundles all of these services as a single type, allowing
//! them to be started, shut down, and configured together. However, often it is
//! not required to configure a [`Runtime`] manually, and a user may just use the
//! [`tokio::main`] attribute macro, which creates a [`Runtime`] under the hood.
//!
//! # Usage
//!
//! When no fine tuning is required, the [`tokio::main`] attribute macro can be
//! used.
//!
//! ```no_run
//! use tokio::net::TcpListener;
//! use tokio::io::{AsyncReadExt, AsyncWriteExt};
//!
//! #[tokio::main]
//! async fn main() -> Result<(), Box<dyn std::error::Error>> {
//! let listener = TcpListener::bind("127.0.0.1:8080").await?;
//!
//! loop {
//! let (mut socket, _) = listener.accept().await?;
//!
//! tokio::spawn(async move {
//! let mut buf = [0; 1024];
//!
//! // In a loop, read data from the socket and write the data back.
//! loop {
//! let n = match socket.read(&mut buf).await {
//! // socket closed
//! Ok(n) if n == 0 => return,
//! Ok(n) => n,
//! Err(e) => {
//! println!("failed to read from socket; err = {:?}", e);
//! return;
//! }
//! };
//!
//! // Write the data back
//! if let Err(e) = socket.write_all(&buf[0..n]).await {
//! println!("failed to write to socket; err = {:?}", e);
//! return;
//! }
//! }
//! });
//! }
//! }
//! ```
//!
//! From within the context of the runtime, additional tasks are spawned using
//! the [`tokio::spawn`] function. Futures spawned using this function will be
//! executed on the same thread pool used by the [`Runtime`].
//!
//! A [`Runtime`] instance can also be used directly.
//!
//! ```no_run
//! use tokio::net::TcpListener;
//! use tokio::io::{AsyncReadExt, AsyncWriteExt};
//! use tokio::runtime::Runtime;
//!
//! fn main() -> Result<(), Box<dyn std::error::Error>> {
//! // Create the runtime
//! let rt = Runtime::new()?;
//!
//! // Spawn the root task
//! rt.block_on(async {
//! let listener = TcpListener::bind("127.0.0.1:8080").await?;
//!
//! loop {
//! let (mut socket, _) = listener.accept().await?;
//!
//! tokio::spawn(async move {
//! let mut buf = [0; 1024];
//!
//! // In a loop, read data from the socket and write the data back.
//! loop {
//! let n = match socket.read(&mut buf).await {
//! // socket closed
//! Ok(n) if n == 0 => return,
//! Ok(n) => n,
//! Err(e) => {
//! println!("failed to read from socket; err = {:?}", e);
//! return;
//! }
//! };
//!
//! // Write the data back
//! if let Err(e) = socket.write_all(&buf[0..n]).await {
//! println!("failed to write to socket; err = {:?}", e);
//! return;
//! }
//! }
//! });
//! }
//! })
//! }
//! ```
//!
//! ## Runtime Configurations
//!
//! Tokio provides multiple task scheduling strategies, suitable for different
//! applications. The [runtime builder] or `#[tokio::main]` attribute may be
//! used to select which scheduler to use.
//!
//! #### Multi-Thread Scheduler
//!
//! The multi-thread scheduler executes futures on a _thread pool_, using a
//! work-stealing strategy. By default, it will start a worker thread for each
//! CPU core available on the system. This tends to be the ideal configuration
//! for most applications. The multi-thread scheduler requires the `rt-multi-thread`
//! feature flag, and is selected by default:
//! ```
//! use tokio::runtime;
//!
//! # fn main() -> Result<(), Box<dyn std::error::Error>> {
//! let threaded_rt = runtime::Runtime::new()?;
//! # Ok(()) }
//! ```
//!
//! Most applications should use the multi-thread scheduler, except in some
//! niche use-cases, such as when running only a single thread is required.
//!
//! #### Current-Thread Scheduler
//!
//! The current-thread scheduler provides a _single-threaded_ future executor.
//! All tasks will be created and executed on the current thread. This requires
//! the `rt` feature flag.
//! ```
//! use tokio::runtime;
//!
//! # fn main() -> Result<(), Box<dyn std::error::Error>> {
//! let basic_rt = runtime::Builder::new_current_thread()
//! .build()?;
//! # Ok(()) }
//! ```
//!
//! #### Resource drivers
//!
//! When configuring a runtime by hand, no resource drivers are enabled by
//! default. In this case, attempting to use networking types or time types will
//! fail. In order to enable these types, the resource drivers must be enabled.
//! This is done with [`Builder::enable_io`] and [`Builder::enable_time`]. As a
//! shorthand, [`Builder::enable_all`] enables both resource drivers.
//!
//! ## Lifetime of spawned threads
//!
//! The runtime may spawn threads depending on its configuration and usage. The
//! multi-thread scheduler spawns threads to schedule tasks and for `spawn_blocking`
//! calls.
//!
//! While the `Runtime` is active, threads may shutdown after periods of being
//! idle. Once `Runtime` is dropped, all runtime threads are forcibly shutdown.
//! Any tasks that have not yet completed will be dropped.
//!
//! [tasks]: crate::task
//! [`Runtime`]: Runtime
//! [`tokio::spawn`]: crate::spawn
//! [`tokio::main`]: ../attr.main.html
//! [runtime builder]: crate::runtime::Builder
//! [`Runtime::new`]: crate::runtime::Runtime::new
//! [`Builder::basic_scheduler`]: crate::runtime::Builder::basic_scheduler
//! [`Builder::threaded_scheduler`]: crate::runtime::Builder::threaded_scheduler
//! [`Builder::enable_io`]: crate::runtime::Builder::enable_io
//! [`Builder::enable_time`]: crate::runtime::Builder::enable_time
//! [`Builder::enable_all`]: crate::runtime::Builder::enable_all
// At the top due to macros
#[cfg(test)]
#[cfg(not(target_arch = "wasm32"))]
#[macro_use]
mod tests;
pub(crate) mod enter;
pub(crate) mod task;
cfg_metrics! {
mod metrics;
pub use metrics::RuntimeMetrics;
pub(crate) use metrics::{MetricsBatch, SchedulerMetrics, WorkerMetrics};
cfg_net! {
pub(crate) use metrics::IoDriverMetrics;
}
}
cfg_not_metrics! {
pub(crate) mod metrics;
pub(crate) use metrics::{SchedulerMetrics, WorkerMetrics, MetricsBatch};
}
cfg_rt! {
mod basic_scheduler;
use basic_scheduler::BasicScheduler;
mod blocking;
use blocking::BlockingPool;
pub(crate) use blocking::spawn_blocking;
cfg_trace! {
pub(crate) use blocking::Mandatory;
}
cfg_fs! {
pub(crate) use blocking::spawn_mandatory_blocking;
}
mod builder;
pub use self::builder::Builder;
pub(crate) mod context;
mod driver;
use self::enter::enter;
mod handle;
pub use handle::{EnterGuard, Handle, TryCurrentError};
pub(crate) use handle::{HandleInner, ToHandle};
mod spawner;
use self::spawner::Spawner;
}
cfg_rt_multi_thread! {
use driver::Driver;
pub(crate) mod thread_pool;
use self::thread_pool::ThreadPool;
}
cfg_rt! {
use crate::task::JoinHandle;
use std::future::Future;
use std::time::Duration;
/// The Tokio runtime.
///
/// The runtime provides an I/O driver, task scheduler, [timer], and
/// blocking pool, necessary for running asynchronous tasks.
///
/// Instances of `Runtime` can be created using [`new`], or [`Builder`].
/// However, most users will use the `#[tokio::main]` annotation on their
/// entry point instead.
///
/// See [module level][mod] documentation for more details.
///
/// # Shutdown
///
/// Shutting down the runtime is done by dropping the value. The current
/// thread will block until the shut down operation has completed.
///
/// * Drain any scheduled work queues.
/// * Drop any futures that have not yet completed.
/// * Drop the reactor.
///
/// Once the reactor has dropped, any outstanding I/O resources bound to
/// that reactor will no longer function. Calling any method on them will
/// result in an error.
///
/// # Sharing
///
/// The Tokio runtime implements `Sync` and `Send` to allow you to wrap it
/// in a `Arc`. Most fn take `&self` to allow you to call them concurrently
/// across multiple threads.
///
/// Calls to `shutdown` and `shutdown_timeout` require exclusive ownership of
/// the runtime type and this can be achieved via `Arc::try_unwrap` when only
/// one strong count reference is left over.
///
/// [timer]: crate::time
/// [mod]: index.html
/// [`new`]: method@Self::new
/// [`Builder`]: struct@Builder
#[derive(Debug)]
pub struct Runtime {
/// Task executor
kind: Kind,
/// Handle to runtime, also contains driver handles
handle: Handle,
/// Blocking pool handle, used to signal shutdown
blocking_pool: BlockingPool,
}
/// The runtime executor is either a thread-pool or a current-thread executor.
#[derive(Debug)]
enum Kind {
/// Execute all tasks on the current-thread.
CurrentThread(BasicScheduler),
/// Execute tasks across multiple threads.
#[cfg(feature = "rt-multi-thread")]
ThreadPool(ThreadPool),
}
/// After thread starts / before thread stops
type Callback = std::sync::Arc<dyn Fn() + Send + Sync>;
impl Runtime {
/// Creates a new runtime instance with default configuration values.
///
/// This results in the multi threaded scheduler, I/O driver, and time driver being
/// initialized.
///
/// Most applications will not need to call this function directly. Instead,
/// they will use the [`#[tokio::main]` attribute][main]. When a more complex
/// configuration is necessary, the [runtime builder] may be used.
///
/// See [module level][mod] documentation for more details.
///
/// # Examples
///
/// Creating a new `Runtime` with default configuration values.
///
/// ```
/// use tokio::runtime::Runtime;
///
/// let rt = Runtime::new()
/// .unwrap();
///
/// // Use the runtime...
/// ```
///
/// [mod]: index.html
/// [main]: ../attr.main.html
/// [threaded scheduler]: index.html#threaded-scheduler
/// [basic scheduler]: index.html#basic-scheduler
/// [runtime builder]: crate::runtime::Builder
#[cfg(feature = "rt-multi-thread")]
#[cfg_attr(docsrs, doc(cfg(feature = "rt-multi-thread")))]
pub fn new() -> std::io::Result<Runtime> {
Builder::new_multi_thread().enable_all().build()
}
/// Returns a handle to the runtime's spawner.
///
/// The returned handle can be used to spawn tasks that run on this runtime, and can
/// be cloned to allow moving the `Handle` to other threads.
///
/// # Examples
///
/// ```
/// use tokio::runtime::Runtime;
///
/// let rt = Runtime::new()
/// .unwrap();
///
/// let handle = rt.handle();
///
/// // Use the handle...
/// ```
pub fn handle(&self) -> &Handle {
&self.handle
}
/// Spawns a future onto the Tokio runtime.
///
/// This spawns the given future onto the runtime's executor, usually a
/// thread pool. The thread pool is then responsible for polling the future
/// until it completes.
///
/// See [module level][mod] documentation for more details.
///
/// [mod]: index.html
///
/// # Examples
///
/// ```
/// use tokio::runtime::Runtime;
///
/// # fn dox() {
/// // Create the runtime
/// let rt = Runtime::new().unwrap();
///
/// // Spawn a future onto the runtime
/// rt.spawn(async {
/// println!("now running on a worker thread");
/// });
/// # }
/// ```
#[track_caller]
pub fn spawn<F>(&self, future: F) -> JoinHandle<F::Output>
where
F: Future + Send + 'static,
F::Output: Send + 'static,
{
self.handle.spawn(future)
}
/// Runs the provided function on an executor dedicated to blocking operations.
///
/// # Examples
///
/// ```
/// use tokio::runtime::Runtime;
///
/// # fn dox() {
/// // Create the runtime
/// let rt = Runtime::new().unwrap();
///
/// // Spawn a blocking function onto the runtime
/// rt.spawn_blocking(|| {
/// println!("now running on a worker thread");
/// });
/// # }
#[track_caller]
pub fn spawn_blocking<F, R>(&self, func: F) -> JoinHandle<R>
where
F: FnOnce() -> R + Send + 'static,
R: Send + 'static,
{
self.handle.spawn_blocking(func)
}
/// Runs a future to completion on the Tokio runtime. This is the
/// runtime's entry point.
///
/// This runs the given future on the current thread, blocking until it is
/// complete, and yielding its resolved result. Any tasks or timers
/// which the future spawns internally will be executed on the runtime.
///
/// # Multi thread scheduler
///
/// When the multi thread scheduler is used this will allow futures
/// to run within the io driver and timer context of the overall runtime.
///
/// # Current thread scheduler
///
/// When the current thread scheduler is enabled `block_on`
/// can be called concurrently from multiple threads. The first call
/// will take ownership of the io and timer drivers. This means
/// other threads which do not own the drivers will hook into that one.
/// When the first `block_on` completes, other threads will be able to
/// "steal" the driver to allow continued execution of their futures.
///
/// # Panics
///
/// This function panics if the provided future panics, or if called within an
/// asynchronous execution context.
///
/// # Examples
///
/// ```no_run
/// use tokio::runtime::Runtime;
///
/// // Create the runtime
/// let rt = Runtime::new().unwrap();
///
/// // Execute the future, blocking the current thread until completion
/// rt.block_on(async {
/// println!("hello");
/// });
/// ```
///
/// [handle]: fn@Handle::block_on
#[track_caller]
pub fn block_on<F: Future>(&self, future: F) -> F::Output {
#[cfg(all(tokio_unstable, feature = "tracing"))]
let future = crate::util::trace::task(future, "block_on", None, task::Id::next().as_u64());
let _enter = self.enter();
match &self.kind {
Kind::CurrentThread(exec) => exec.block_on(future),
#[cfg(feature = "rt-multi-thread")]
Kind::ThreadPool(exec) => exec.block_on(future),
}
}
/// Enters the runtime context.
///
/// This allows you to construct types that must have an executor
/// available on creation such as [`Sleep`] or [`TcpStream`]. It will
/// also allow you to call methods such as [`tokio::spawn`].
///
/// [`Sleep`]: struct@crate::time::Sleep
/// [`TcpStream`]: struct@crate::net::TcpStream
/// [`tokio::spawn`]: fn@crate::spawn
///
/// # Example
///
/// ```
/// use tokio::runtime::Runtime;
///
/// fn function_that_spawns(msg: String) {
/// // Had we not used `rt.enter` below, this would panic.
/// tokio::spawn(async move {
/// println!("{}", msg);
/// });
/// }
///
/// fn main() {
/// let rt = Runtime::new().unwrap();
///
/// let s = "Hello World!".to_string();
///
/// // By entering the context, we tie `tokio::spawn` to this executor.
/// let _guard = rt.enter();
/// function_that_spawns(s);
/// }
/// ```
pub fn enter(&self) -> EnterGuard<'_> {
self.handle.enter()
}
/// Shuts down the runtime, waiting for at most `duration` for all spawned
/// task to shutdown.
///
/// Usually, dropping a `Runtime` handle is sufficient as tasks are able to
/// shutdown in a timely fashion. However, dropping a `Runtime` will wait
/// indefinitely for all tasks to terminate, and there are cases where a long
/// blocking task has been spawned, which can block dropping `Runtime`.
///
/// In this case, calling `shutdown_timeout` with an explicit wait timeout
/// can work. The `shutdown_timeout` will signal all tasks to shutdown and
/// will wait for at most `duration` for all spawned tasks to terminate. If
/// `timeout` elapses before all tasks are dropped, the function returns and
/// outstanding tasks are potentially leaked.
///
/// # Examples
///
/// ```
/// use tokio::runtime::Runtime;
/// use tokio::task;
///
/// use std::thread;
/// use std::time::Duration;
///
/// fn main() {
/// let runtime = Runtime::new().unwrap();
///
/// runtime.block_on(async move {
/// task::spawn_blocking(move || {
/// thread::sleep(Duration::from_secs(10_000));
/// });
/// });
///
/// runtime.shutdown_timeout(Duration::from_millis(100));
/// }
/// ```
pub fn shutdown_timeout(mut self, duration: Duration) {
// Wakeup and shutdown all the worker threads
self.handle.clone().shutdown();
self.blocking_pool.shutdown(Some(duration));
}
/// Shuts down the runtime, without waiting for any spawned tasks to shutdown.
///
/// This can be useful if you want to drop a runtime from within another runtime.
/// Normally, dropping a runtime will block indefinitely for spawned blocking tasks
/// to complete, which would normally not be permitted within an asynchronous context.
/// By calling `shutdown_background()`, you can drop the runtime from such a context.
///
/// Note however, that because we do not wait for any blocking tasks to complete, this
/// may result in a resource leak (in that any blocking tasks are still running until they
/// return.
///
/// This function is equivalent to calling `shutdown_timeout(Duration::of_nanos(0))`.
///
/// ```
/// use tokio::runtime::Runtime;
///
/// fn main() {
/// let runtime = Runtime::new().unwrap();
///
/// runtime.block_on(async move {
/// let inner_runtime = Runtime::new().unwrap();
/// // ...
/// inner_runtime.shutdown_background();
/// });
/// }
/// ```
pub fn shutdown_background(self) {
self.shutdown_timeout(Duration::from_nanos(0))
}
}
#[allow(clippy::single_match)] // there are comments in the error branch, so we don't want if-let
impl Drop for Runtime {
fn drop(&mut self) {
match &mut self.kind {
Kind::CurrentThread(basic) => {
// This ensures that tasks spawned on the basic runtime are dropped inside the
// runtime's context.
match self::context::try_enter(self.handle.clone()) {
Some(guard) => basic.set_context_guard(guard),
None => {
// The context thread-local has already been destroyed.
//
// We don't set the guard in this case. Calls to tokio::spawn in task
// destructors would fail regardless if this happens.
},
}
},
#[cfg(feature = "rt-multi-thread")]
Kind::ThreadPool(_) => {
// The threaded scheduler drops its tasks on its worker threads, which is
// already in the runtime's context.
},
}
}
}
cfg_metrics! {
impl Runtime {
/// TODO
pub fn metrics(&self) -> RuntimeMetrics {
self.handle.metrics()
}
}
}
}