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Minimal perfect hash functions provide space-efficient and collision-freehashing on static sets. Existing algorithms and implementations that build suchfunctions have practical limitations on the number of input elements they canprocess, due to high construction time, RAM or external memory usage. Werevisit a simple algorithm and show that it is highly competitive with thestate of the art, especially in terms of construction time and memory usage. Weprovide a parallel C++ implementation called BBhash. It is capable of creatinga minimal perfect hash function of $10^{10}$ elements in less than 7 minutesusing 8 threads and 5 GB of memory, and the resulting function uses 3.7bits/element. To the best of our knowledge, this is also the firstimplementation that has been successfully tested on an input of cardinality$10^{12}$. Source code: https://github.com/rizkg/BBHash

Fast and scalable minimal perfect hashing for massive key sets