btree-concurrent

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