Rollup merge of #89670 - yoshuawuyts:available-parallelism-docs, r=joshtriplett
Improve `std:🧵:available_parallelism` docs _Tracking issue: https://github.com/rust-lang/rust/issues/74479_ This PR reworks the documentation of `std:🧵:available_parallelism`, as requested [here](https://github.com/rust-lang/rust/pull/89324#issuecomment-934343254). ## Changes The following changes are made: - We've removed prior mentions of "hardware threads" and instead centers the docs around "parallelism" as a resource available to a program. - We now provide examples of when `available_parallelism` may return numbers that differ from the number of CPU cores in the host machine. - We now mention that the amount of available parallelism may change over time. - We make note of which platform components we don't take into account which more advanced users may want to take note of. - The example has been updated, which should be a bit easier to use. - We've added a docs alias to `num-cpus` which provides similar functionality to `available_parallelism`, and is one of the most popular crates on crates.io. --- Thanks! r? `@BurntSushi`
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@ -1428,39 +1428,76 @@ fn _assert_both<T: Send + Sync>() {}
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_assert_both::<Thread>();
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}
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/// Returns the number of hardware threads available to the program.
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/// Returns an estimate of the default amount of parallelism a program should use.
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///
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/// This value should be considered only a hint.
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/// Parallelism is a resource. A given machine provides a certain capacity for
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/// parallelism, i.e., a bound on the number of computations it can perform
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/// simultaneously. This number often corresponds to the amount of CPUs or
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/// computer has, but it may diverge in various cases.
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///
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/// # Platform-specific behavior
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/// Host environments such as VMs or container orchestrators may want to
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/// restrict the amount of parallelism made available to programs in them. This
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/// is often done to limit the potential impact of (unintentionally)
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/// resource-intensive programs on other programs running on the same machine.
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///
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/// If interpreted as the number of actual hardware threads, it may undercount on
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/// Windows systems with more than 64 hardware threads. If interpreted as the
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/// available concurrency for that process, it may overcount on Windows systems
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/// when limited by a process wide affinity mask or job object limitations, and
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/// it may overcount on Linux systems when limited by a process wide affinity
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/// mask or affected by cgroups limits.
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/// # Limitations
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///
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/// The purpose of this API is to provide an easy and portable way to query
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/// the default amount of parallelism the program should use. Among other things it
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/// does not expose information on NUMA regions, does not account for
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/// differences in (co)processor capabilities, and will not modify the program's
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/// global state in order to more accurately query the amount of available
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/// parallelism.
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///
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/// The value returned by this function should be considered a simplified
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/// approximation of the actual amount of parallelism available at any given
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/// time. To get a more detailed or precise overview of the amount of
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/// parallelism available to the program, you may wish to use
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/// platform-specific APIs as well. The following platform limitations currently
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/// apply to `available_parallelism`:
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///
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/// On Windows:
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/// - It may undercount the amount of parallelism available on systems with more
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/// than 64 logical CPUs. However, programs typically need specific support to
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/// take advantage of more than 64 logical CPUs, and in the absence of such
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/// support, the number returned by this function accurately reflects the
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/// number of logical CPUs the program can use by default.
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/// - It may overcount the amount of parallelism available on systems limited by
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/// process-wide affinity masks, or job object limitations.
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///
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/// On Linux:
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/// - It may overcount the amount of parallelism available when limited by a
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/// process-wide affinity mask, or when affected by cgroup limits.
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///
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/// On all targets:
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/// - It may overcount the amount of parallelism available when running in a VM
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/// with CPU usage limits (e.g. an overcommitted host).
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///
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/// # Errors
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///
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/// This function will return an error in the following situations, but is not
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/// limited to just these cases:
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/// This function will, but is not limited to, return errors in the following
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/// cases:
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///
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/// - If the number of hardware threads is not known for the target platform.
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/// - The process lacks permissions to view the number of hardware threads
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/// available.
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/// - If the amount of parallelism is not known for the target platform.
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/// - If the program lacks permission to query the amount of parallelism made
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/// available to it.
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///
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/// # Examples
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///
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/// ```
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/// # #![allow(dead_code)]
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/// #![feature(available_parallelism)]
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/// use std::thread;
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/// use std::{io, thread};
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///
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/// let count = thread::available_parallelism().map(|n| n.get()).unwrap_or(1);
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/// fn main() -> io::Result<()> {
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/// let count = thread::available_parallelism()?.get();
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/// assert!(count >= 1_usize);
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/// Ok(())
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/// }
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/// ```
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#[doc(alias = "available_concurrency")] // Alias for a previous name we gave this API on unstable.
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#[doc(alias = "hardware_concurrency")] // Alias for C++ `std::thread::hardware_concurrency`.
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#[doc(alias = "available_concurrency")] // Alias for a name we gave this API on unstable.
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#[doc(alias = "num_cpus")] // Alias for a popular ecosystem crate which provides similar functionality.
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#[unstable(feature = "available_parallelism", issue = "74479")]
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pub fn available_parallelism() -> io::Result<NonZeroUsize> {
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imp::available_parallelism()
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