I am not offering this as a solution to your
challenge, but I suggest looking at the thread
Compressing a set of integers. I think that I had a similar
problem, but I had a few more opportunities
for optimization than you have presented.
With help from the others in the thread, I was
able to use pack to make a really cool data structure
that is similar to a sparse bit vector. My problem had
the potential optimization that some bits were more
likely than others, and I could reorder.
For the problem I was trying to solve,
Table::ParentChild ended up getting
written along the way.
For the deployed application, I
ended up using a relational database, which
performs well enough today in production.
I also suggest, for practical solutions, that you
consider algorithms which are O(log(n)),
especially those with small constant factors.
It should work perfectly the first time! - toma
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