Message from JavaScript discussions

May 2017

— Reduces disk access by a large factor for most queries


Like I was saying about Bloom filters earlier, which are essentialy a set of combined hash algorithms to create one hash/bit map for a set

— It is a bit array, not quite a hash

— If an element is probably in the set, the query will run slightly longer... if it is definitely not in the set, the query will run very fast and avoid computations

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— Huh

— This idea was to only split into child objects when there is a difference

— So { "Hello", "Helium" } would become:
{ Hel: { "ium", "lo" } }

— I don't like it since it mixes representation with storage

— I mean, it looks clever, but that doesn't always mean it's a good idea

— This may help speed too

— Since it works with subsets of sets

— I think you can't remove elements from a Bloom filter though