Struct workerpool::Pool
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pub struct Pool<T> where
T: Worker, { /* fields omitted */ }
Abstraction of a thread pool for basic parallelism.
Methods
impl<T: Worker> Pool<T>
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fn new(num_threads: usize) -> Pool<T>
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Creates a new thread pool capable of executing num_threads
number of jobs concurrently.
Panics
This function will panic if num_threads
is 0.
Examples
Create a new thread pool capable of executing four jobs concurrently:
use workerpool::Pool; let pool: Pool<MyWorker> = Pool::new(4);
fn with_name(name: String, num_threads: usize) -> Pool<T>
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Creates a new thread pool capable of executing num_threads
number of jobs concurrently.
Each thread will have the name name
.
Panics
This function will panic if num_threads
is 0.
Examples
use std::thread; use workerpool::Pool; use workerpool::thunk::{Thunk, ThunkWorker}; let pool: Pool<ThunkWorker<()>> = Pool::with_name("worker".into(), 2); for _ in 0..2 { pool.execute(Thunk::of(|| { assert_eq!( thread::current().name(), Some("worker") ); })); } pool.join();
fn execute(&self, inp: T::Input)
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Executes with the input on a worker in the pool. Non-blocking and disregards output of the worker's execution.
Examples
Execute four jobs on a thread pool that can run two jobs concurrently:
use workerpool::Pool; use workerpool::thunk::{Thunk, ThunkWorker}; let pool: Pool<ThunkWorker<()>> = Pool::new(2); pool.execute(Thunk::of(|| println!("hello"))); pool.execute(Thunk::of(|| println!("world"))); pool.execute(Thunk::of(|| println!("foo"))); pool.execute(Thunk::of(|| println!("bar"))); pool.join();
fn execute_to(&self, tx: Sender<T::Output>, inp: T::Input)
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Executes with the input on a worker in the pool. Non-blocking and sends output of the worker's execution to the given sender.
Examples
Execute four jobs on a thread pool that can run two jobs concurrently:
use workerpool::Pool; use workerpool::thunk::{Thunk, ThunkWorker}; use std::sync::mpsc::channel; let pool: Pool<ThunkWorker<i32>> = Pool::new(2); let (tx, rx) = channel(); pool.execute_to(tx.clone(), Thunk::of(|| 1)); pool.execute_to(tx.clone(), Thunk::of(|| 2)); pool.execute_to(tx.clone(), Thunk::of(|| 3)); pool.execute_to(tx.clone(), Thunk::of(|| 4)); assert_eq!(10, rx.iter().take(4).sum());
fn queued_count(&self) -> usize
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Returns the number of jobs waiting to executed in the pool.
Examples
use workerpool::Pool; use workerpool::thunk::{Thunk, ThunkWorker}; use std::time::Duration; use std::thread::sleep; let pool: Pool<ThunkWorker<()>> = Pool::new(2); for _ in 0..10 { pool.execute(Thunk::of(|| { sleep(Duration::from_secs(100)); })); } sleep(Duration::from_secs(1)); // wait for threads to start assert_eq!(8, pool.queued_count());
fn active_count(&self) -> usize
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Returns the number of currently active threads.
Examples
use workerpool::Pool; use workerpool::thunk::{Thunk, ThunkWorker}; use std::time::Duration; use std::thread::sleep; let pool = Pool::<ThunkWorker<()>>::new(4); for _ in 0..10 { pool.execute(Thunk::of(|| { sleep(Duration::from_secs(100)); })) } sleep(Duration::from_secs(1)); // wait for threads to start assert_eq!(4, pool.active_count());
fn max_count(&self) -> usize
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Returns the maximum number of threads the pool will execute concurrently.
Examples
use workerpool::Pool; let mut pool: Pool<MyWorker> = Pool::new(4); assert_eq!(4, pool.max_count()); pool.set_num_threads(8); assert_eq!(8, pool.max_count());
fn panic_count(&self) -> usize
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Returns the number of panicked threads over the lifetime of the pool.
Examples
use workerpool::Pool; use workerpool::thunk::{Thunk, ThunkWorker}; let pool: Pool<ThunkWorker<()>> = Pool::new(4); for n in 0..10 { pool.execute(Thunk::of(move || { // simulate a panic if n % 2 == 0 { panic!() } })); } pool.join(); assert_eq!(5, pool.panic_count());
fn set_num_threads(&mut self, num_threads: usize)
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Sets the number of worker-threads to use as num_threads
.
Can be used to change the workerpool size during runtime.
Will not abort already running or waiting threads.
Panics
This function will panic if num_threads
is 0.
Examples
use workerpool::Pool; use workerpool::thunk::{Thunk, ThunkWorker}; use std::time::Duration; use std::thread::sleep; let mut pool: Pool<ThunkWorker<()>> = Pool::new(4); for _ in 0..10 { pool.execute(Thunk::of(move || { sleep(Duration::from_secs(100)); })); } sleep(Duration::from_secs(1)); // wait for threads to start assert_eq!(4, pool.active_count()); assert_eq!(6, pool.queued_count()); // Increase thread capacity of the pool pool.set_num_threads(8); sleep(Duration::from_secs(1)); // wait for new threads to start assert_eq!(8, pool.active_count()); assert_eq!(2, pool.queued_count()); // Decrease thread capacity of the pool // No active threads are killed pool.set_num_threads(4); assert_eq!(8, pool.active_count()); assert_eq!(2, pool.queued_count());
fn join(&self)
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Block the current thread until all jobs in the pool have been executed.
Calling join
on an empty pool will cause an immediate return.
join
may be called from multiple threads concurrently.
A join
is an atomic point in time. All threads joining before the join
event will exit together even if the pool is processing new jobs by the
time they get scheduled.
Calling join
from a thread within the pool will cause a deadlock. This
behavior is considered safe.
Examples
use workerpool::Pool; use workerpool::thunk::{Thunk, ThunkWorker}; use std::sync::Arc; use std::sync::atomic::{AtomicUsize, Ordering}; let pool: Pool<ThunkWorker<()>> = Pool::new(8); let test_count = Arc::new(AtomicUsize::new(0)); for _ in 0..42 { let test_count = test_count.clone(); pool.execute(Thunk::of(move || { test_count.fetch_add(1, Ordering::Relaxed); })) } pool.join(); assert_eq!(42, test_count.load(Ordering::Relaxed));
Trait Implementations
impl<T: Worker> Clone for Pool<T>
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fn clone(&self) -> Pool<T>
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Cloning a pool will create a new handle to the pool. The behavior is similar to Arc.
We could for example submit jobs from multiple threads concurrently.
use workerpool::Pool; use workerpool::thunk::{Thunk, ThunkWorker}; use std::thread; use std::sync::mpsc::channel; let pool: Pool<ThunkWorker<()>> = Pool::with_name("clone example".into(), 2); let results = (0..2) .map(|i| { let pool = pool.clone(); thread::spawn(move || { let (tx, rx) = channel(); for i in 1..12 { let tx = tx.clone(); pool.execute(Thunk::of(move || { tx.send(i).expect("channel will be waiting"); })); } drop(tx); if i == 0 { rx.iter().fold(0, |accumulator, element| accumulator + element) } else { rx.iter().fold(1, |accumulator, element| accumulator * element) } }) }) .map(|join_handle| join_handle.join().expect("collect results from threads")) .collect::<Vec<usize>>(); assert_eq!(vec![66, 39916800], results);
fn clone_from(&mut self, source: &Self)
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Performs copy-assignment from source
. Read more
impl<T: Worker> Default for Pool<T>
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Create a thread pool with one thread per CPU. On machines with hyperthreading, this will create one thread per hyperthread.
impl<T: Worker> Debug for Pool<T>
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impl<T: Worker> PartialEq for Pool<T>
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fn eq(&self, other: &Pool<T>) -> bool
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Check if you are working with the same pool
use workerpool::Pool; let a: Pool<MyWorker> = Pool::new(2); let b: Pool<MyWorker> = Pool::new(2); assert_eq!(a, a); assert_eq!(b, b); assert_ne!(a, b); assert_ne!(b, a);
fn ne(&self, other: &Rhs) -> bool
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This method tests for !=
.