Home

Awesome

ordnub

Data.List.nub is O(n²). This one is O(n log n) by requiring an Ord instance.

This thing here is not a library. It is a benchmark suite. View results here.

Don't use nub

If you are looking for a fast ordNub function to use in your code, use:

(stable link) which after many years was finally added (also in response to this repo).

If you don't have a new enough containers or don't want to depend on it, use:

import qualified Data.Set as Set

ordNub :: (Ord a) => [a] -> [a]
ordNub l = go Set.empty l
  where
    go _ [] = []
    go s (x:xs) = if x `Set.member` s then go s xs
                                      else x : go (Set.insert x s) xs

Other Data.List functions you NEVER want to use

\\, union, intersect - they too are O(n²).

Also be aware that they don't work like sets. For example:

> [1,1,2] \\ [1]
[1,2]

> union [1,2,3,1] [1,4]
[1,2,3,1,4]

The current O(n log n) recommendation for \\ is:

import qualified Data.Map.Strict as Map

listDifference :: (Ord a) => [a] -> [a] -> [a]
listDifference a b = go initHist a
  where
    initHist = Map.fromListWith (+) [ (x, 1 :: Int) | x <- b ]

    go _    []     = []
    go hist (x:xs) = case Map.lookup x hist of
      Just n | n > 0 ->     go (Map.insert x (n-1) hist) xs
      _              -> x : go hist                      xs

The current O(n log n) recommendation for union is:

import qualified Data.Set as Set

listUnion :: (Ord a) => [a] -> [a] -> [a]
listUnion a b = a ++ ordNub (filter (`Set.notMember` aSet) b)
  where
    aSet = Set.fromList a

The current O(n log n) recommendation for intersect is:

import qualified Data.Set as Set

listIntersect :: (Ord a) => [a] -> [a] -> [a]
listIntersect a b = filter (`Set.member` bSet) a
  where
    bSet = Set.fromList b

More functions

The file ordnub.hs contains more functions you may be interested in, including:

ordNubByEq :: (Eq a, Ord b) => (a -> b) -> [a] -> [a]

ordNubBy :: (Ord b) => (a -> b) -> (a -> a -> Bool) -> [a] -> [a]

These functions have longer docs so they are not copied into this README.