Use the external `rayon` crate to implement thread pools in Rust for efficient parallel data processing.
Rust does not have a built-in thread pool in the standard library; you must use the rayon crate for data parallelism or tokio for async tasks. Add rayon to your Cargo.toml and use par_iter() to parallelize work across available threads.
[dependencies]
rayon = "1.10"
use rayon::prelude::*;
fn main() {
let v: Vec<i32> = (0..100).collect();
let sum: i32 = v.par_iter().sum();
println!("Sum: {}", sum);
}
A thread pool is a group of worker threads ready to run tasks, preventing the overhead of creating new threads for every small job. Think of it like a restaurant kitchen with a fixed number of chefs; instead of hiring a new chef for every order, existing chefs grab the next ticket from the queue. You use this when you need to process large amounts of data quickly without crashing your computer's memory.