Adaptive Radix Tree

This is an implementation in OCaml of ART.
An Adaptive Radix Tree is like a simple Hashtbl with order:

# let tree = Art.make () ;;
# Art.insert tree (Art.key "foo") 42 ;;
# Art.insert tree (Art.key "bar") 21 ;;
# Art.find tree (Art.key "foo")
- : int = 42

Operation like minimum or maximum are available (which don't exist for a
simple Hashtbl.t):

# let tree = Art.make () ;;
# Art.insert tree (Art.key "0") 0 ;;
# Art.insert tree (Art.key "1") 1 ;;
# Art.insert tree (Art.key "2") 2 ;;
# Art.minimum tree
- : int = 0
# Art.maximum tree
- : int = 2

If you want the order and the speed of Hashtbl.t, Art is your library:

Read Optimised Write Exclusion (ROWEX) in OCaml

ROWEX is a second implementation of ART with atomic operations. It's a functor
which expects an implementation of atomic operations such as load or store.

Parallelism, atomic operation & OCaml

The current version of OCaml has a global lock for the GC. By this way, it's not
possible for us to execute ROWEX operations (find/insert) with true
parallelism if we use the same OCaml runtime. Even if you use LWT or ASYNC, you
execute jobs concurrently.

However, ROWEX wants to provide an implementation where find/insert can be
executed in parallel without any problems (race condition or ABA problem). So
ROWEX provides an implementation, persistent, which implements atomic
operations on a memory area. Then, we are able, as parmap, to
simulate true parallelism as long as each operations are executed into their own

The goal of this library is provide:

  • the most easy way to switch the implementation to

  • a baby step to be able to manipulate a file by several processes
    (consumers/find, producers/insert) in parallel

Status: experimental

This part of the distribution is experimental - even if the distribution
comes with several tests to ensure that the implementation works, ROWEX is fragile!
It still need a synchronization mechanism fsync() which is added pervasively in
some parts of the code according to outcomes of errors.

>= "0.8.7"
>= "2.7.0"
>= "4.07.0"
Reverse Dependencies