rattle-0.2: src/General/Pool.hs
{-# LANGUAGE TupleSections #-}
-- | Thread pool implementation. The three names correspond to the following
-- priority levels (highest to lowest):
--
-- * 'addPoolException' - things that probably result in a build error,
-- so kick them off quickly.
--
-- * 'addPoolResume' - things that started, blocked, and may have open
-- resources in their closure.
--
-- * 'addPoolStart' - rules that haven't yet started.
--
-- * 'addPoolBatch' - rules that might batch if other rules start first.
module General.Pool(
Pool, runPool,
addPool, addPoolWait, PoolPriority(..),
) where
import Control.Concurrent.Extra
import General.Thread
import System.Time.Extra
import Control.Exception.Extra
import Control.Monad.Extra
import qualified Data.Heap as Heap
import qualified Data.HashSet as Set
import Data.IORef.Extra
false = False
---------------------------------------------------------------------
-- THREAD POOL
{-
Must keep a list of active threads, so can raise exceptions in a timely manner
If any worker throws an exception, must signal to all the other workers
-}
data S = S
{alive :: !Bool -- True until there's an exception, after which don't spawn more tasks
,threads :: !(Set.HashSet Thread) -- IMPORTANT: Must be strict or we leak thread stacks
,threadsLimit :: {-# UNPACK #-} !Int -- user supplied thread limit, Set.size threads <= threadsLimit
,threadsCount :: {-# UNPACK #-} !Int -- Set.size threads, but in O(1)
,threadsMax :: {-# UNPACK #-} !Int -- high water mark of Set.size threads (accounting only)
,threadsSum :: {-# UNPACK #-} !Int -- number of threads we have been through (accounting only)
,rand :: IO Int -- operation to give us the next random Int
,todo :: !(Heap.Heap (Heap.Entry (PoolPriority, Int) (IO ()))) -- operations waiting a thread
}
emptyS :: Int -> Bool -> IO S
emptyS n deterministic = do
rand <- do
ref <- newIORef 0
-- no need to be thread-safe - if two threads race they were basically the same time anyway
pure $ do i <- readIORef ref; writeIORef' ref (i+1); pure i
pure $ S True Set.empty n 0 0 0 rand Heap.empty
data Pool = Pool
!(Var S) -- Current state, 'alive' = False to say we are aborting
!(Barrier (Either SomeException S)) -- Barrier to signal that we are finished
withPool :: Pool -> (S -> IO (S, IO ())) -> IO ()
withPool (Pool var _) f = join $ modifyVar var $ \s ->
if alive s then f s else pure (s, pure ())
withPool_ :: Pool -> (S -> IO S) -> IO ()
withPool_ pool act = withPool pool $ fmap (, pure()) . act
worker :: Pool -> IO ()
worker pool = withPool pool $ \s -> pure $ case Heap.uncons $ todo s of
Nothing -> (s, pure ())
Just (Heap.Entry _ now, todo2) -> (s{todo = todo2}, now >> worker pool)
-- | Given a pool, and a function that breaks the S invariants, restore them.
-- They are only allowed to touch threadsLimit or todo.
-- Assumes only requires spawning a most one job (e.g. can't increase the pool by more than one at a time)
step :: Pool -> (S -> IO S) -> IO ()
-- mask_ is so we don't spawn and not record it
step pool@(Pool _ done) op = uninterruptibleMask_ $ withPool_ pool $ \s -> do
s <- op s
-- evaluate s
-- BS.putStrLn $ BS.pack $ show ("Pool of " , threadsLimit s, threadsCount s)
case Heap.uncons $ todo s of
Just (Heap.Entry _ now, todo2) | threadsCount s < threadsLimit s -> do
-- spawn a new worker
t <- newThreadFinally (now >> worker pool) $ \t res ->
case res of
-- just cause someone gets an exception, doesn't mean we die now
Left e | false -> withPool_ pool $ \s -> do
signalBarrier done $ Left e
pure (remThread t s){alive = False}
_ ->
step pool $ pure . remThread t
pure (addThread t s){todo = todo2}
-- rattle doesn't terminate when we run out of threads
Nothing | false, threadsCount s == 0 -> do
signalBarrier done $ Right s
pure s{alive = False}
_ -> pure s
where
addThread t s = s{threads = Set.insert t $ threads s, threadsCount = threadsCount s + 1
,threadsSum = threadsSum s + 1, threadsMax = threadsMax s `max` (threadsCount s + 1)}
remThread t s = s{threads = Set.delete t $ threads s, threadsCount = threadsCount s - 1}
-- | Add a new task to the pool. See the top of the module for the relative ordering
-- and semantics.
addPool :: PoolPriority -> Pool -> IO a -> IO ()
addPool priority pool act = step pool $ \s -> do
i <- rand s
pure s{todo = Heap.insert (Heap.Entry (priority, i) $ void act) $ todo s}
-- | Somewhat dubious. Safe if the waiter gets killed if the pool gets torn down, which we assume happens.
addPoolWait :: PoolPriority -> Pool -> IO a -> IO a
addPoolWait priority pool act = do
bar <- newBarrier
addPool priority pool $ uninterruptibleMask $ \unmask ->
signalBarrier bar =<< try_ (unmask act)
res <- waitBarrier bar
either throwIO pure res
data PoolPriority
= PoolRequired
| PoolSpeculate
deriving (Eq,Ord)
-- | Run all the tasks in the pool on the given number of works.
-- If any thread throws an exception, the exception will be reraised.
runPool :: Bool -> Int -> (Pool -> IO a) -> IO a -- run all tasks in the pool
runPool deterministic n act = do
s <- newVar =<< emptyS n deterministic
done <- newBarrier
let pool = Pool s done
-- if someone kills our thread, make sure we kill our child threads
let cleanup =
join $ modifyVar s $ \s -> pure (s{alive=False}, stopThreads $ Set.toList $ threads s)
let ghc10793 = do
-- if this thread dies because it is blocked on an MVar there's a chance we have
-- a better error in the done barrier, and GHC raised the exception wrongly, see:
-- https://ghc.haskell.org/trac/ghc/ticket/10793
sleep 1 -- give it a little bit of time for the finally to run
-- no big deal, since the blocked indefinitely takes a while to fire anyway
res <- waitBarrierMaybe done
case res of
Just (Left e) -> throwIO e
_ -> throwIO BlockedIndefinitelyOnMVar
flip finally cleanup $ handle (\BlockedIndefinitelyOnMVar -> ghc10793) $
-- changes from Shake
-- being in the pool doesn't consume a pool resource
act pool
-- we don't want for the pool to go quiet before continue, just as soon as the action dies
-- so we remove the alive = False status