- TBD
Tasks with different processing time
Experimental example to show how Rayon distributes the load when the tasks have random processing time (betwee 1-1000 ms) and/or when there are a few long-running tasks and many short tasks.
examples/rayon/tasks-with-random-time/src/main.rs
//use rand::Rng; use rayon::prelude::*; use std::collections::HashMap; fn main() { //let numbers = (1..1000).map(|_| rand::thread_rng().gen_range(0..=300) as u64).collect::<Vec<_>>(); let mut numbers = vec![3000_u64, 3000]; numbers.extend([1; 1000]); // println!("{numbers:?}"); let parallel = numbers .par_iter() .map(|number| { //println!("{:?} sleeping for {}", std::thread::current().id(), number); std::thread::sleep(std::time::Duration::from_millis(*number)); format!("{:?}", std::thread::current().id()) }) .collect::<Vec<_>>(); // println!("{parallel:?}"); let mut counter: HashMap<String, u32> = HashMap::new(); for id in parallel { *counter.entry(id).or_insert(0) += 1; } for (key, value) in counter { println!("{key} {value}"); } }