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It turns out `collections::HashMap` runs about 6~7% faster than BTreeMap. I will update the article to include results of both data structures.


Also seems like you could benefit from the entry() api (available on both BTreeMap and HashMap):

http://doc.rust-lang.org/std/collections/struct.BTreeMap.htm...

I think the example used in the docs is your exact use case.

This bit:

  let found = match map.get_mut(..) {
    ..
  }
  if !found {
    ..
  }
can be replaced with

  match map.entry(word) {
      Occupied(mut view) => { *view.get_mut() += 1; }
      Vacant(view) => { view.insert(1); }
  }


Good point! I’ve updated the article accordingly. I learned the Entry thing a few months ago, but Rust’s BTreeMap did not support the entry API at that time, so my code did not use it. Then I totally forgot about it when writing this blog...




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