# Hanoi Key/Value Storage Engine This storage engine implements a structure somewhat like LSM-trees (Log-Structured Merge Trees, see docs/10.1.1.44.2782.pdf). The notes in DESIGN.md describe how this storage engine work; I have not done extensive studies as how it differs from other storage mechanisms, but a brief review of available research on LSM-trees indicates that this storage engine is quite different in several respects. Here's the bullet list: - Insert, Delete and Read all have worst case log2(N) complexity. - The cost of evicting stale key/values is amortized into insertion - you don't need a separate eviction thread to keep memory use low - you don't need to schedule merges to happen at off-peak hours - Operations-friendly "append-only" storage - allows you to backup live system - crash-recovery is very fast and the logic is straight forward - Supports efficient range queries - Uses bloom filters to avoid unnecessary lookups on disk - Efficient resource utilization - Doesn't store all keys in memory - Uses a modest number of file descriptors proportional to the number of levels - IO is generally balanced between random and sequential - Low CPU overhead - ~2000 lines of pure Erlang code in src/*.erl ### How to deploy Hanoi as a Riak/KV backend This storage engine can function as an alternative backend for Basho's Riak/KV. You can deploy `hanoi` into a Riak devrel cluster using the `enable-hanoi` script. Clone the `riak` repo, change your working directory to it, and then execute the `enable-hanoi` script. It adds `hanoi` as a dependency, runs `make all devrel`, and then modifies the configuration settings of the resulting dev nodes to use the hanoi storage backend. 1. `git clone git://github.com/basho/riak.git` 1. `cd riak/deps` 1. `git clone git://github.com/basho/hanoi.git` 1. `cd ..` 1. `./deps/hanoi/enable-hanoi`