btree-concurrent
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A backend agnostic, concurrent BTree with relaxed balance[1] written in Haskell using a mix of IO operations and pure STM.
Although the code does work, it is neither production-ready nor complete.
Features include:
* Caching: While nodes are periodically saved on persistent storage (e.g. disk) they are cached in-memory during operations.
* Live flushing: It is possible to save the current version of the tree to disk and run modifying operations at the same time. The nodes are updated buttom-up to ensure a valid tree in the case of a crash.
* Backend agnosticism: A simple API is used as an abstraction for the persistent storage.
* Verification: The test-suite uses QuickCheck to compare the trees behaviour to that of Data.Map.
Deficients include:
* Too much memory usage. Nodes are not stored in a compact fashion and are constantly being serialized/deserialized.
* findMin and findMax are incomplete and may fail (see TODO for details).
* The implementation does not parallelize well.
[1] B-trees with relaxed balance, K. S. Larsen & R. Fagerberg, Parallel Processing Symposium, 1995. Proceedings., 9th International