Take advantage of the fact that __wt_random is equivalent to flipping a coin 32 times

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    • Type: Improvement
    • Resolution: Unresolved
    • Priority: Major - P3
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    • Affects Version/s: None
    • Component/s: None
    • StorEng - Refinement Pipeline
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      I've noticed a few places calling __wt_random in a loop with repeated probabilites, to produce a logrithmic distribution. But that can be done more efficiently by taking the 32 bits returned and running them through count leading/trailing zeros/ones (doesn't matter which of the 4 combinations), which has an equivalent probability function to flipping a coin up to 32 times and counting the number of heads in a row (stopping at the first tails).

      For example, the code to choose a skiplist depth with probablity 1/4 of going deeper, could be just tmp = count_leading_zeros(_wt_random()); depth = min((tmp / 2) +1, 10);. And this code to pick a random sleep bucket could just be i = min(count_leading_zeros(_wt_random()), max);.

              Assignee:
              [DO NOT USE] Backlog - Storage Engines Team
              Reporter:
              Mathias Stearn
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                Created:
                Updated: