HllSourceAn implementation of HyperLogLog probabilistic cardinality estimator.
Type of HyperLogLog counters
Create a new counter with error error rate. error should verify 0.0 < error && error < 1.0. 0.05 is a reasonable default.
Use estimate_memory to measure memory consumption and runtime of this function.
add t k counts item k in t.
k should be "random": it should be the output of some cryptographic hashing algorithm like SHA. It is not treated as an integer. This is key to getting proper results. No patterns should appear in the bits of the different items added.
Runtime is O(1).
Estimate the memory consumed in bytes by a counter with the specified error rate.
This ignores the constant overhead of the OCaml representation, around two words. It is a bytes of estimate_memory ~error + 1 length.
merge ~into:t0 t' has the same effect as adding all items added to t' to t0.
t0 and t' must have been constructed with the same error rate!
The following algorithm provide a reasonable hashing function for integers, if you want to feed the HLL with "normal" integers.