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README.md
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README.md
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# Hanoi Key/Value Storage Engine
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# Hanoi Ordered Key/Value Storage
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This storage engine implements a structure somewhat like LSM-trees
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Hanoi implements an ordered key/value storage engine, implemented
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(Log-Structured Merge Trees, see docs/10.1.1.44.2782.pdf). The notes in
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using "doubling sizes" persistent ordered sets of key/value pairs,
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DESIGN.md describe how this storage engine work; I have not done extensive
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much like LevelDB.
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studies as how it differs from other storage mechanisms, but a brief review of
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available research on LSM-trees indicates that this storage engine is quite
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different in several respects.
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Here's the bullet list:
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Here's the bullet list:
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- Insert, Delete and Read all have worst case log<sub>2</sub>(N) complexity.
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- Insert, Delete and Read all have worst case log<sub>2</sub>(N) latency.
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- The cost of evicting stale key/values is amortized into insertion
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- Incremental space reclaimation: The cost of evicting stale key/values
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is amortized into insertion
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- you don't need a separate eviction thread to keep memory use low
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- you don't need a separate eviction thread to keep memory use low
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- you don't need to schedule merges to happen at off-peak hours
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- you don't need to schedule merges to happen at off-peak hours
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- Operations-friendly "append-only" storage
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- Operations-friendly "append-only" storage
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@ -25,6 +23,9 @@ Here's the bullet list:
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- Low CPU overhead
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- Low CPU overhead
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- ~2000 lines of pure Erlang code in src/*.erl
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- ~2000 lines of pure Erlang code in src/*.erl
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Hanoi is developed by Trifork, a Riak expert solutions provider. You're most
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welcome to contact us if you want help optimizing your Riak setup.
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### How to deploy Hanoi as a Riak/KV backend
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### How to deploy Hanoi as a Riak/KV backend
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This storage engine can function as an alternative backend for Basho's Riak/KV.
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This storage engine can function as an alternative backend for Basho's Riak/KV.
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