dataframe-core-2.6.0.0: src-internal/DataFrame/Internal/Grouping/Partitioned.hs
{-# LANGUAGE BangPatterns #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE Strict #-}
-- | Partitioned group-by: counting-sort rows by hash bits, group per partition.
module DataFrame.Internal.Grouping.Partitioned (
parallelAssignGroups,
rtgFromVisOffs,
numPartitionsFor,
) where
import Control.Concurrent (getNumCapabilities)
import Control.Monad (when)
import Data.Bits (countLeadingZeros, unsafeShiftL, unsafeShiftR)
import qualified Data.List as L
import qualified Data.Vector as V
import qualified Data.Vector.Mutable as VM
import qualified Data.Vector.Unboxed as VU
import qualified Data.Vector.Unboxed.Mutable as VUM
import Data.Word (Word64)
import DataFrame.Internal.Algorithms.Rank.Radix (rankByHash)
import DataFrame.Internal.Control.Concurrent (
forkJoin,
forkJoin_,
parThreshold,
parallelChunks_,
pooledIndices,
)
import DataFrame.Internal.Data.HashTable (
htInsert,
newHashTable,
)
import System.IO.Unsafe (unsafePerformIO)
-- | Sign-preserving unsigned remap of a hash, ordering like signed 'Int'.
key :: Int -> Word64
key h = fromIntegral h + 0x8000000000000000
{-# INLINE key #-}
-- | Partition index of a hash: the top @log2 p@ bits of its unsigned key.
partIx :: Int -> Int -> Int
partIx shift h = fromIntegral (key h `unsafeShiftR` shift)
{-# INLINE partIx #-}
-- | Number of partitions: a power of two scaled by capabilities and rows.
numPartitionsFor :: Int -> Int -> Int
numPartitionsFor caps n = go 1
where
base = max 256 (4 * caps)
go p
| p < base = go (p * 2)
| p < maxPartitions && n > p * partRowTarget = go (p * 2)
| otherwise = p
-- | Cap on partition count (scatter-pass stream count stays manageable).
maxPartitions :: Int
maxPartitions = 4096
-- | Target rows per partition (~24k rows -> 64k-slot table, ~1.5MB).
partRowTarget :: Int
partRowTarget = 24576
-- | @floor (log2 x)@ for a power-of-two @x@.
intLog2 :: Int -> Int
intLog2 x = 63 - countLeadingZeros x
{-# INLINE intLog2 #-}
-- | Parallel group assignment, returning @(valueIndices, offsets)@ canonically.
parallelAssignGroups ::
Int ->
VU.Vector Int ->
(Int -> Int -> Bool) ->
IO (VU.Vector Int, VU.Vector Int)
parallelAssignGroups n hashes eqRow = do
caps <- getNumCapabilities
let !p = numPartitionsFor caps n
!shift = 64 - intLog2 p
link <- VUM.new (max 1 n)
(partStart, sortedRows, sortedHash, sortedLink) <-
partitionRows n hashes eqRow link p shift
localGid <- VUM.new (max 1 n)
gidByRow <- VUM.new (max 1 n)
canonBoxes <- VM.replicate p (VU.empty :: VU.Vector Int)
nLocalGroups <- VUM.replicate p (0 :: Int)
runPartitions
caps
p
partStart
sortedRows
sortedHash
eqRow
sortedLink
gidByRow
localGid
canonBoxes
nLocalGroups
(globalBase, canonOf, nGroups) <- canonicalize p canonBoxes nLocalGroups
assemble n p partStart sortedRows localGid globalBase canonOf nGroups
-- | Bucket every row index into its partition by a counting sort.
partitionRows ::
Int ->
VU.Vector Int ->
(Int -> Int -> Bool) ->
VUM.IOVector Int ->
Int ->
Int ->
IO (VU.Vector Int, VU.Vector Int, VU.Vector Int, VU.Vector Int)
partitionRows n hashes eqRow link p shift = do
caps <- getNumCapabilities
let chunks = rowChunks caps n
cursors <-
forkJoin [histChunk hashes eqRow link p shift lo hi | (lo, hi) <- chunks]
-- Exclusive prefix over partitions and chunks; histograms become cursors.
partStartM <- VUM.new (p + 1)
let seed !pp !acc
| pp >= p = VUM.unsafeWrite partStartM p acc
| otherwise = do
VUM.unsafeWrite partStartM pp acc
let inner [] !a = pure a
inner (cur : rest) !a = do
t <- VUM.unsafeRead cur pp
VUM.unsafeWrite cur pp a
inner rest (a + t)
acc' <- inner cursors acc
seed (pp + 1) acc'
seed 0 0
sortedM <- VUM.new (max 1 n)
sortedHashM <- VUM.new (max 1 n)
sortedLinkM <- VUM.new (max 1 n)
forkJoin_
[ scatterChunk hashes link shift cur sortedM sortedHashM sortedLinkM lo hi
| ((lo, hi), cur) <- zip chunks cursors
]
partStart <- VU.unsafeFreeze partStartM
sortedRows <- VU.unsafeFreeze sortedM
sortedHash <- VU.unsafeFreeze sortedHashM
sortedLink <- VU.unsafeFreeze sortedLinkM
pure (partStart, sortedRows, sortedHash, sortedLink)
-- | Contiguous near-equal row chunks, one per capability; empties dropped.
rowChunks :: Int -> Int -> [(Int, Int)]
rowChunks caps n =
[ (lo, hi)
| w <- [0 .. caps - 1]
, let lo = min n (w * per)
, let hi = min n (lo + per)
, lo < hi
]
where
!per = (n + max 1 caps - 1) `div` max 1 caps
-- | Per-partition counts of one row chunk, linking rows to recent equal keys.
histChunk ::
VU.Vector Int ->
(Int -> Int -> Bool) ->
VUM.IOVector Int ->
Int ->
Int ->
Int ->
Int ->
IO (VUM.IOVector Int)
histChunk hashes eqRow link p shift lo hi = do
acc <- VUM.replicate p (0 :: Int)
-- Two ways per set, so two hot keys sharing a set do not evict each other.
cacheHash <- VUM.new (2 * linkCacheSets)
cacheRow <- VUM.replicate (2 * linkCacheSets) (-1 :: Int)
let hit !w !h !i = do
r <- VUM.unsafeRead cacheRow w
h' <- VUM.unsafeRead cacheHash w
pure (if r >= 0 && h' == h && eqRow r i then r else -1)
go !i
| i >= hi = pure acc
| otherwise = do
let !h = VU.unsafeIndex hashes i
!pp = partIx shift h
!w0 = 2 * cacheSet h
r0 <- hit w0 h i
r <- if r0 >= 0 then pure r0 else hit (w0 + 1) h i
VUM.unsafeWrite link i r
when (r < 0) $ do
-- Way 0 holds the newest key; the older one moves to way 1.
VUM.unsafeRead cacheHash w0 >>= VUM.unsafeWrite cacheHash (w0 + 1)
VUM.unsafeRead cacheRow w0 >>= VUM.unsafeWrite cacheRow (w0 + 1)
VUM.unsafeWrite cacheHash w0 h
VUM.unsafeWrite cacheRow w0 i
c <- VUM.unsafeRead acc pp
VUM.unsafeWrite acc pp (c + 1)
go (i + 1)
go lo
-- | Cache set of a hash, mixing the weak low bits first.
cacheSet :: Int -> Int
cacheSet h =
fromIntegral
( (fromIntegral h * 0x9E3779B97F4A7C15 :: Word64)
`unsafeShiftR` (64 - linkCacheBits)
)
{-# INLINE cacheSet #-}
linkCacheBits :: Int
linkCacheBits = 12
-- | Sets in each chunk's cache of recent keys (a power of two).
linkCacheSets :: Int
linkCacheSets = 1 `unsafeShiftL` linkCacheBits
-- | Scatter one row chunk through the chunk's private cursor.
scatterChunk ::
VU.Vector Int ->
VUM.IOVector Int ->
Int ->
VUM.IOVector Int ->
VUM.IOVector Int ->
VUM.IOVector Int ->
VUM.IOVector Int ->
Int ->
Int ->
IO ()
scatterChunk hashes link shift cursor sortedM sortedHashM sortedLinkM lo hi = go lo
where
go !i
| i >= hi = pure ()
| otherwise = do
let !h = VU.unsafeIndex hashes i
!pp = partIx shift h
pos <- VUM.unsafeRead cursor pp
VUM.unsafeWrite sortedM pos i
VUM.unsafeWrite sortedHashM pos h
VUM.unsafeRead link i >>= VUM.unsafeWrite sortedLinkM pos
VUM.unsafeWrite cursor pp (pos + 1)
go (i + 1)
-- | Partition indices, largest first, so skewed partitions start early.
largestFirst :: VU.Vector Int -> VU.Vector Int
largestFirst partStart =
let !p = VU.length partStart - 1
size i = VU.unsafeIndex partStart (i + 1) - VU.unsafeIndex partStart i
in VU.fromList
(map snd (L.sortBy (flip compare) [(size i, i) | i <- [0 .. p - 1]]))
-- | Group each partition with its own hash table and rank its local groups.
runPartitions ::
Int ->
Int ->
VU.Vector Int ->
VU.Vector Int ->
VU.Vector Int ->
(Int -> Int -> Bool) ->
VU.Vector Int ->
VUM.IOVector Int ->
VUM.IOVector Int ->
VM.IOVector (VU.Vector Int) ->
VUM.IOVector Int ->
IO ()
runPartitions caps p partStart sortedRows sortedHash eqRow sortedLink gidByRow localGid canonBoxes nLocalGroups =
pooledIndices caps p (groupPartition . VU.unsafeIndex order)
where
!order = largestFirst partStart
groupPartition !pp = do
let !s = VU.unsafeIndex partStart pp
!e = VU.unsafeIndex partStart (pp + 1)
!sz = e - s
when (sz > 0) $ do
-- Linked rows skip the table, so size it by the unlinked ones.
let countUnlinked !pos !k
| pos >= e = pure k
| otherwise =
countUnlinked (pos + 1) (if VU.unsafeIndex sortedLink pos < 0 then k + 1 else k)
nUnlinked <- countUnlinked s 0
ht <- newHashTable nUnlinked
repHashM <- VUM.new nUnlinked
let loop !pos !nextGid
| pos >= e = pure nextGid
| otherwise = do
let !row = VU.unsafeIndex sortedRows pos
!h = VU.unsafeIndex sortedHash pos
!r = VU.unsafeIndex sortedLink pos
if r >= 0
then do
-- r: an earlier unlinked row of this partition.
gid <- VUM.unsafeRead gidByRow r
VUM.unsafeWrite localGid pos gid
loop (pos + 1) nextGid
else do
(gid, isNew) <- htInsert ht eqRow nextGid row h
VUM.unsafeWrite localGid pos gid
VUM.unsafeWrite gidByRow row gid
if isNew
then do
VUM.unsafeWrite repHashM nextGid h
loop (pos + 1) (nextGid + 1)
else loop (pos + 1) nextGid
ng <- loop s 0
VUM.unsafeWrite nLocalGroups pp ng
canon <- rankByHash (VUM.unsafeRead repHashM) ng
VM.unsafeWrite canonBoxes pp canon
-- | Exclusive prefix sum of per-partition group counts into @globalBase@.
canonicalize ::
Int ->
VM.IOVector (VU.Vector Int) ->
VUM.IOVector Int ->
IO (VU.Vector Int, V.Vector (VU.Vector Int), Int)
canonicalize p canonBoxes nLocalGroups = do
globalBaseM <- VUM.new (p + 1)
let go !pp !base
| pp >= p = VUM.unsafeWrite globalBaseM p base >> pure base
| otherwise = do
VUM.unsafeWrite globalBaseM pp base
ng <- VUM.unsafeRead nLocalGroups pp
go (pp + 1) (base + ng)
total <- go 0 0
globalBase <- VU.unsafeFreeze globalBaseM
canonOf <- V.unsafeFreeze canonBoxes
pure (globalBase, canonOf, total)
-- | Build the final @(valueIndices, offsets)@ from global group ids.
assemble ::
Int ->
Int ->
VU.Vector Int ->
VU.Vector Int ->
VUM.IOVector Int ->
VU.Vector Int ->
V.Vector (VU.Vector Int) ->
Int ->
IO (VU.Vector Int, VU.Vector Int)
assemble n p partStart sortedRows localGid globalBase canonOf nGroups = do
caps <- getNumCapabilities
gidAt <- VUM.new (max 1 n)
counts <- VUM.new (max 1 nGroups)
offsM <- VUM.new (nGroups + 1)
visM <- VUM.new (max 1 n)
let doPartition !pp = do
let !s = VU.unsafeIndex partStart pp
!e = VU.unsafeIndex partStart (pp + 1)
!base = VU.unsafeIndex globalBase pp
!gEnd = VU.unsafeIndex globalBase (pp + 1)
!canon = V.unsafeIndex canonOf pp
let zero !g
| g >= gEnd = pure ()
| otherwise = VUM.unsafeWrite counts g 0 >> zero (g + 1)
zero base
-- Pass 1: global group ids and per-group counts.
let pass1 !pos
| pos >= e = pure ()
| otherwise = do
lg <- VUM.unsafeRead localGid pos
let !g = base + VU.unsafeIndex canon lg
VUM.unsafeWrite gidAt pos g
c <- VUM.unsafeRead counts g
VUM.unsafeWrite counts g (c + 1)
pass1 (pos + 1)
pass1 s
-- Offsets for our group range; counts becomes the write cursor.
let offsLoop !g !acc
| g >= gEnd = pure ()
| otherwise = do
VUM.unsafeWrite offsM g acc
c <- VUM.unsafeRead counts g
VUM.unsafeWrite counts g acc
offsLoop (g + 1) (acc + c)
offsLoop base s
-- Pass 2: stable placement into valueIndices.
let pass2 !pos
| pos >= e = pure ()
| otherwise = do
g <- VUM.unsafeRead gidAt pos
let !row = VU.unsafeIndex sortedRows pos
c <- VUM.unsafeRead counts g
VUM.unsafeWrite visM c row
VUM.unsafeWrite counts g (c + 1)
pass2 (pos + 1)
pass2 s
let !order = largestFirst partStart
pooledIndices caps p (doPartition . VU.unsafeIndex order)
VUM.unsafeWrite offsM nGroups n
offs <- VU.unsafeFreeze offsM
vis <- VU.unsafeFreeze visM
pure (vis, offs)
-- | Deferred @rowToGroup@ from @(valueIndices, offsets)@.
rtgFromVisOffs :: Int -> VU.Vector Int -> VU.Vector Int -> VU.Vector Int
rtgFromVisOffs n vis offs = unsafePerformIO $ do
let !nGroups = VU.length offs - 1
rtgM <- VUM.new (max 1 n)
let
-- Largest g with offs[g] <= i (offsets are non-decreasing).
findGroup !i = go2 0 nGroups
where
go2 !lo !hi
| lo >= hi = lo - 1
| otherwise =
let !mid = (lo + hi) `div` 2
in if VU.unsafeIndex offs mid <= i
then go2 (mid + 1) hi
else go2 lo mid
fill !i !hi !g
| i >= hi = pure ()
| otherwise = do
let !g' = advance g
advance !gg =
if VU.unsafeIndex offs (gg + 1) <= i
then advance (gg + 1)
else gg
VUM.unsafeWrite rtgM (VU.unsafeIndex vis i) g'
fill (i + 1) hi g'
parallelChunks_ parThreshold n (\lo hi -> fill lo hi (findGroup lo))
VU.unsafeFreeze rtgM
{-# NOINLINE rtgFromVisOffs #-}