hashtables-1.0.0.0: src/Data/HashTable/ST/Basic.hs
{-# LANGUAGE BangPatterns #-}
{-# LANGUAGE MagicHash #-}
{-|
A basic open-addressing hash table using linear probing. Use this hash table if
you...
* want the fastest possible lookups, and very fast inserts.
* don't care about wasting a little bit of memory to get it.
* don't care that a table resize might pause for a long time to rehash all
of the key-value mappings.
/Details:/
Of the hash tables in this collection, this hash table has the best insert and
lookup performance, with the following caveats.
/Space overhead/
This table is not especially memory-efficient; firstly, the table has a maximum
load factor of 0.83 and will be resized if load exceeds this value. Secondly,
to improve insert and lookup performance, we store the hash code for each key
in the table.
Each hash table entry requires three words, two for the pointers to the key and
value and one for the hash code. We don't count key and value pointers as
overhead, because they have to be there -- so the overhead for a full slot is
one word -- but empty slots in the hash table count for a full three words of
overhead. Define @m@ as the number of slots in the table and @n@ as the number
of key value mappings. If the load factor is @k=n\/m@, the amount of space
wasted is:
@
w(n) = 1*n + 3(m-n)
@
Since @m=n\/k@,
@
w(n) = n + 3(n\/k - n)
= n (3\/k-2)
@
Solving for @k=0.83@, the maximum load factor, gives a /minimum/ overhead of 2
words per mapping. If @k=0.5@, under normal usage the /maximum/ overhead
situation, then the overhead would be 4 words per mapping.
/Space overhead: experimental results/
In randomized testing (see @test\/compute-overhead\/ComputeOverhead.hs@ in the
source distribution), mean overhead (that is, the number of words needed to
store the key-value mapping over and above the two words necessary for the key
and the value pointers) is approximately 2.29 machine words per key-value
mapping with a standard deviation of about 0.44 words, and 3.14 words per
mapping at the 95th percentile.
/Expensive resizes/
If enough elements are inserted into the table to make it exceed the maximum
load factor, the table is resized. A resize involves a complete rehash of all
the elements in the table, which means that any given call to 'insert' might
take /O(n)/ time in the size of the table, with a large constant factor. If a
long pause waiting for the table to resize is unacceptable for your
application, you should choose the included linear hash table instead.
/References:/
* Knuth, Donald E. /The Art of Computer Programming/, vol. 3 Sorting and
Searching. Addison-Wesley Publishing Company, 1973.
-}
module Data.HashTable.ST.Basic
( HashTable
, new
, newSized
, delete
, lookup
, insert
, mapM_
, foldM
, computeOverhead
) where
------------------------------------------------------------------------------
import Control.Monad hiding (mapM_, foldM)
import Control.Monad.ST
import Data.Hashable (Hashable)
import qualified Data.Hashable as H
import Data.Maybe
import Data.STRef
import GHC.Exts
import Prelude hiding (lookup, read, mapM_)
------------------------------------------------------------------------------
import Data.HashTable.Internal.Array
import qualified Data.HashTable.Internal.IntArray as U
import Data.HashTable.Internal.CacheLine
import Data.HashTable.Internal.Utils
import qualified Data.HashTable.Class as C
------------------------------------------------------------------------------
-- | An open addressing hash table using linear probing.
newtype HashTable s k v = HT (STRef s (HashTable_ s k v))
data HashTable_ s k v = HashTable
{ _size :: {-# UNPACK #-} !Int
, _load :: !(U.IntArray s) -- ^ prefer unboxed vector here to STRef
-- because I know it will be appropriately
-- strict
, _hashes :: !(U.IntArray s)
, _keys :: {-# UNPACK #-} !(MutableArray s k)
, _values :: {-# UNPACK #-} !(MutableArray s v)
}
------------------------------------------------------------------------------
instance C.HashTable HashTable where
new = new
newSized = newSized
insert = insert
delete = delete
lookup = lookup
foldM = foldM
mapM_ = mapM_
computeOverhead = computeOverhead
------------------------------------------------------------------------------
instance Show (HashTable s k v) where
show _ = "<HashTable>"
------------------------------------------------------------------------------
-- | See the documentation for this function in
-- "Data.HashTable.Class#v:new".
new :: ST s (HashTable s k v)
new = newSized 30
{-# INLINE new #-}
------------------------------------------------------------------------------
-- | See the documentation for this function in
-- "Data.HashTable.Class#v:newSized".
newSized :: Int -> ST s (HashTable s k v)
newSized n = do
let m = nextBestPrime $ ceiling (fromIntegral n / maxLoad)
ht <- newSizedReal m
newRef ht
{-# INLINE newSized #-}
------------------------------------------------------------------------------
newSizedReal :: Int -> ST s (HashTable_ s k v)
newSizedReal m = do
-- make sure the hash array is a multiple of cache-line sized so we can
-- always search a whole cache line at once
let m' = ((m + numWordsInCacheLine - 1) `div` numWordsInCacheLine)
* numWordsInCacheLine
h <- U.newArray m'
k <- newArray m undefined
v <- newArray m undefined
ld <- U.newArray 1
return $! HashTable m ld h k v
------------------------------------------------------------------------------
-- | See the documentation for this function in
-- "Data.HashTable.Class#v:delete".
delete :: (Hashable k, Eq k) =>
(HashTable s k v)
-> k
-> ST s ()
delete htRef k = do
ht <- readRef htRef
_ <- delete' ht True k h
return ()
where
!h = hash k
{-# INLINE delete #-}
------------------------------------------------------------------------------
-- | See the documentation for this function in
-- "Data.HashTable.Class#v:lookup".
lookup :: (Eq k, Hashable k) => (HashTable s k v) -> k -> ST s (Maybe v)
lookup htRef !k = do
ht <- readRef htRef
lookup' ht
where
lookup' (HashTable sz _ hashes keys values) = do
let !b = whichBucket h sz
debug $ "lookup sz=" ++ show sz ++ " h=" ++ show h ++ " b=" ++ show b
go b
where
!h = hash k
go !b = {-# SCC "lookup/go" #-} do
idx <- forwardSearch2 hashes b sz h emptyMarker
debug $ "forwardSearch2 returned " ++ show idx
h0 <- U.readArray hashes idx
debug $ "h0 was " ++ show h0
if recordIsEmpty h0
then return Nothing
else do
k' <- readArray keys idx
if k == k'
then do
debug $ "value found at " ++ show idx
v <- readArray values idx
return $! Just v
else go $! idx + 1
{-# INLINE lookup #-}
------------------------------------------------------------------------------
-- | See the documentation for this function in
-- "Data.HashTable.Class#v:insert".
insert :: (Eq k, Hashable k) =>
(HashTable s k v)
-> k
-> v
-> ST s ()
insert htRef !k !v = do
ht <- readRef htRef
!ht' <- insert' ht
writeRef htRef ht'
where
insert' ht = do
debug "insert': calling delete'"
b <- delete' ht False k h
debug $ "insert': writing h=" ++ show h ++ " b=" ++ show b
U.writeArray hashes b h
writeArray keys b k
writeArray values b v
checkOverflow ht
where
!h = hash k
hashes = _hashes ht
keys = _keys ht
values = _values ht
{-# INLINE insert #-}
------------------------------------------------------------------------------
-- | See the documentation for this function in
-- "Data.HashTable.Class#v:foldM".
foldM :: (a -> (k,v) -> ST s a) -> a -> HashTable s k v -> ST s a
foldM f seed0 htRef = readRef htRef >>= work
where
work (HashTable sz _ hashes keys values) = go 0 seed0
where
go !i !seed | i >= sz = return seed
| otherwise = do
h <- U.readArray hashes i
if recordIsEmpty h || recordIsDeleted h
then go (i+1) seed
else do
k <- readArray keys i
v <- readArray values i
!seed' <- f seed (k, v)
go (i+1) seed'
------------------------------------------------------------------------------
-- | See the documentation for this function in
-- "Data.HashTable.Class#v:mapM_".
mapM_ :: ((k,v) -> ST s b) -> HashTable s k v -> ST s ()
mapM_ f htRef = readRef htRef >>= work
where
work (HashTable sz _ hashes keys values) = go 0
where
go !i | i >= sz = return ()
| otherwise = do
h <- U.readArray hashes i
if recordIsEmpty h || recordIsDeleted h
then go (i+1)
else do
k <- readArray keys i
v <- readArray values i
_ <- f (k, v)
go (i+1)
------------------------------------------------------------------------------
-- | See the documentation for this function in
-- "Data.HashTable.Class#v:computeOverhead".
computeOverhead :: HashTable s k v -> ST s Double
computeOverhead htRef = readRef htRef >>= work
where
work (HashTable sz' loadRef _ _ _) = do
!ld <- U.readArray loadRef 0
let k = fromIntegral ld / sz
return $ constOverhead / sz + overhead k
where
sz = fromIntegral sz'
-- Change these if you change the representation
constOverhead = 10
overhead k = 3 / k - 2
------------------------------
-- Private functions follow --
------------------------------
------------------------------------------------------------------------------
{-# INLINE insertRecord #-}
insertRecord :: Int
-> U.IntArray s
-> MutableArray s k
-> MutableArray s v
-> Int
-> k
-> v
-> ST s ()
insertRecord !sz !hashes !keys !values !h !key !value = do
let !b = whichBucket h sz
debug $ "insertRecord sz=" ++ show sz ++ "h=" ++ show h ++ " b=" ++ show b
probe b
where
probe !i = {-# SCC "insertRecord/probe" #-} do
!idx <- forwardSearch2 hashes i sz emptyMarker deletedMarker
debug $ "forwardSearch2 returned " ++ show idx
U.writeArray hashes idx h
writeArray keys idx key
writeArray values idx value
------------------------------------------------------------------------------
checkOverflow :: (Eq k, Hashable k) =>
(HashTable_ s k v)
-> ST s (HashTable_ s k v)
checkOverflow ht@(HashTable sz ldRef _ _ _) = do
!ld <- U.readArray ldRef 0
let !ld' = ld + 1
U.writeArray ldRef 0 ld'
if fromIntegral ld / fromIntegral sz > maxLoad
then growTable ht
else return ht
------------------------------------------------------------------------------
growTable :: Hashable k => HashTable_ s k v -> ST s (HashTable_ s k v)
growTable (HashTable sz loadRef hashes keys values) = do
let !sz' = bumpSize sz
ht' <- newSizedReal sz'
let (HashTable _ loadRef' newHashes newKeys newValues) = ht'
U.readArray loadRef 0 >>= U.writeArray loadRef' 0
rehash sz' newHashes newKeys newValues
return ht'
where
rehash sz' newHashes newKeys newValues = go 0
where
go !i | i >= sz = return ()
| otherwise = {-# SCC "growTable/rehash" #-} do
h0 <- U.readArray hashes i
when (not (recordIsEmpty h0 || recordIsDeleted h0)) $ do
k <- readArray keys i
v <- readArray values i
insertRecord sz' newHashes newKeys newValues
(hash k) k v
go $ i+1
------------------------------------------------------------------------------
-- Returns the slot in the array where it would be safe to write the given key.
delete' :: (Hashable k, Eq k) =>
(HashTable_ s k v)
-> Bool
-> k
-> Int
-> ST s Int
delete' (HashTable sz loadRef hashes keys values) clearOut k h = do
let !b = whichBucket h sz
debug $ "delete': sz=" ++ show sz ++ " h=" ++ show h
++ " b=" ++ show b
(found,b') <- go Nothing b
when found $ do
!ld <- U.readArray loadRef 0
let !ld' = ld - 1
U.writeArray loadRef 0 ld'
return b'
where
delPlace !fp !b = maybe (Just b) (const fp) fp
choosePlace !fp !b = fromMaybe b fp
samePlace !fp !b = maybe (True) (== b) fp
go !fp !b = do
debug $ "go: fp=" ++ show fp ++ " b=" ++ show b
!idx <- forwardSearch3 hashes b sz h emptyMarker deletedMarker
debug $ "forwardSearch3 returned " ++ show idx
h0 <- U.readArray hashes idx
debug $ "h0 was " ++ show h0
if recordIsEmpty h0
then do
let pl = choosePlace fp idx
debug $ "empty, returning " ++ show pl
return (False, pl)
else
if recordIsDeleted h0
then do
let pl = delPlace fp idx
debug $ "deleted, cont with pl=" ++ show pl
go pl $ idx + 1
else
if h == h0
then do
k' <- readArray keys idx
if k == k'
then do
debug $ "found at " ++ show idx
debug $ "clearout=" ++ show clearOut
debug $ "sp? " ++ show (samePlace fp idx)
-- "clearOut" is set if we intend to write a new
-- element into the slot. If we're doing an update and
-- we found the old key, instead of writing "deleted"
-- and then re-writing the new element there, we can
-- just write the new element. This only works if we
-- were planning on writing the new element here.
when (clearOut || not (samePlace fp idx)) $ do
U.writeArray hashes idx 1
writeArray keys idx undefined
writeArray values idx undefined
return (True, choosePlace fp idx)
else go fp $ idx + 1
else go fp $ idx + 1
------------------------------------------------------------------------------
maxLoad :: Double
maxLoad = 0.82
------------------------------------------------------------------------------
emptyMarker :: Int
emptyMarker = 0
------------------------------------------------------------------------------
deletedMarker :: Int
deletedMarker = 1
------------------------------------------------------------------------------
{-# INLINE recordIsEmpty #-}
recordIsEmpty :: Int -> Bool
recordIsEmpty = (== emptyMarker)
------------------------------------------------------------------------------
{-# INLINE recordIsDeleted #-}
recordIsDeleted :: Int -> Bool
recordIsDeleted = (== deletedMarker)
------------------------------------------------------------------------------
{-# INLINE hash #-}
hash :: (Hashable k) => k -> Int
hash k = out
where
!(I# h#) = H.hash k
!m# = maskw# h# 0# `or#` maskw# h# 1#
!nm# = not# m#
!r# = ((int2Word# 2#) `and#` m#) `or#` (int2Word# h# `and#` nm#)
!out = I# (word2Int# r#)
------------------------------------------------------------------------------
newRef :: HashTable_ s k v -> ST s (HashTable s k v)
newRef = liftM HT . newSTRef
{-# INLINE newRef #-}
writeRef :: HashTable s k v -> HashTable_ s k v -> ST s ()
writeRef (HT ref) ht = writeSTRef ref ht
{-# INLINE writeRef #-}
readRef :: HashTable s k v -> ST s (HashTable_ s k v)
readRef (HT ref) = readSTRef ref
{-# INLINE readRef #-}
------------------------------------------------------------------------------
{-# INLINE debug #-}
debug :: String -> ST s ()
--debug s = unsafeIOToST (putStrLn s)
debug _ = return ()