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1 point by kinnard 60 days ago | link | parent

> "The microbenchmarks that we did show large improvements on large and very large dictionaries (particularly, building dictionaries of at least a couple 100s of items is now twice faster) and break-even on small ones (between 20% slower and 20% faster depending very much on the usage patterns and sizes of dictionaries)."

2 points by i4cu 60 days ago | link

relative to... its previous incarnation.

Microbenchmarks against a previous version only means they've made a relative improvement.

The benchmarks that would matter to us (or at least me) are:

1. how does it compare to an equivalent implementation without having to maintain insertion order.

2. how does it hold up under stress (larger data sets, with heavy load where gc/compaction have to occur)

Obviously none of this should matter to you as you've said your data load is low with no growth. So bobs your uncle.