-- | Thread pool implementation. module Development.Shake.Pool( Pool, runPool, addPool, addPoolPriority, increasePool ) where import Control.Concurrent.Extra import Control.Exception import Control.Monad import General.Timing import qualified Data.HashSet as Set import System.IO.Unsafe import System.Random --------------------------------------------------------------------- -- UNFAIR/RANDOM QUEUE -- Monad for non-deterministic (but otherwise pure) computations type NonDet a = IO a nonDet :: NonDet [Bool] nonDet = do bs <- unsafeInterleaveIO nonDet b <- randomIO return $ b:bs -- Left = deterministic list, Right = non-deterministic tree data Queue a = Queue [a] (Either [a] (Maybe (Tree a))) newQueue :: Bool -> Queue a newQueue deterministic = Queue [] $ if deterministic then Left [] else Right Nothing enqueuePriority :: a -> Queue a -> Queue a enqueuePriority x (Queue p t) = Queue (x:p) t enqueue :: a -> Queue a -> NonDet (Queue a) enqueue x (Queue p (Left xs)) = return $ Queue p $ Left $ x:xs enqueue x (Queue p (Right Nothing)) = return $ Queue p $ Right $ Just $ Leaf x enqueue x (Queue p (Right (Just t))) = do bs <- nonDet; return $ Queue p $ Right $ Just $ insertTree bs x t dequeue :: Queue a -> Maybe (NonDet (a, Queue a)) dequeue (Queue (p:ps) t) = Just $ return (p, Queue ps t) dequeue (Queue [] (Left (x:xs))) = Just $ return (x, Queue [] $ Left xs) dequeue (Queue [] (Left [])) = Nothing dequeue (Queue [] (Right (Just t))) = Just $ do bs <- nonDet; (x,t) <- return $ removeTree bs t; return (x, Queue [] $ Right t) dequeue (Queue [] (Right Nothing)) = Nothing --------------------------------------------------------------------- -- TREE -- Note that for a Random tree, since everything is Random, Branch x y =~= Branch y x data Tree a = Leaf a | Branch (Tree a) (Tree a) insertTree :: [Bool] -> a -> Tree a -> Tree a insertTree _ x (Leaf y) = Branch (Leaf x) (Leaf y) insertTree (b:bs) x (Branch y z) = if b then f y z else f z y where f y z = Branch y (insertTree bs x z) removeTree :: [Bool] -> Tree a -> (a, Maybe (Tree a)) removeTree _ (Leaf x) = (x, Nothing) removeTree (b:bs) (Branch y z) = if b then f y z else f z y where f y z = case removeTree bs z of (x, Nothing) -> (x, Just y) (x, Just z) -> (x, Just $ Branch y z) --------------------------------------------------------------------- -- 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 Pool = Pool !(Var (Maybe S)) -- Current state, 'Nothing' to say we are aborting !(Barrier (Either SomeException S)) -- Barrier to signal that we are data S = S {threads :: !(Set.HashSet ThreadId) -- IMPORTANT: Must be strict or we leak thread stacks ,threadsLimit :: {-# UNPACK #-} !Int -- user supplied thread limit, Set.size threads <= threadsLimit ,threadsMax :: {-# UNPACK #-} !Int -- high water mark of Set.size threads (accounting only) ,threadsSum :: {-# UNPACK #-} !Int -- number of threads we have been through (accounting only) ,todo :: !(Queue (IO ())) -- operations waiting a thread } emptyS :: Int -> Bool -> S emptyS n deterministic = S Set.empty n 0 0 $ newQueue deterministic -- | Given a pool, and a function that breaks the S invariants, restore them -- They are only allowed to touch threadsLimit or todo step :: Pool -> (S -> NonDet S) -> IO () step pool@(Pool var done) op = do let onVar act = modifyVar_ var $ maybe (return Nothing) act onVar $ \s -> do s <- op s res <- maybe (return Nothing) (fmap Just) $ dequeue $ todo s case res of Just (now, todo2) | Set.size (threads s) < threadsLimit s -> do -- spawn a new worker t <- forkIO $ do t <- myThreadId res <- try now case res of Left e -> onVar $ \s -> do mapM_ killThread $ Set.toList $ Set.delete t $ threads s signalBarrier done $ Left e return Nothing Right _ -> step pool $ \s -> return s{threads = Set.delete t $ threads s} let threads2 = Set.insert t $ threads s return $ Just s{todo = todo2, threads = threads2 ,threadsSum = threadsSum s + 1, threadsMax = threadsMax s `max` Set.size threads2} Nothing | Set.null $ threads s -> do signalBarrier done $ Right s return Nothing _ -> return $ Just s -- | Add a new task to the pool, may be cancelled by sending it an exception addPool :: Pool -> IO a -> IO () addPool pool act = step pool $ \s -> do todo <- enqueue (void act) (todo s) return s{todo = todo} -- | Add a new task to the pool, may be cancelled by sending it an exception. -- Takes priority over everything else. addPoolPriority :: Pool -> IO a -> IO () addPoolPriority pool act = step pool $ \s -> do todo <- return $ enqueuePriority (void act) (todo s) return s{todo = todo} -- | Temporarily increase the pool by 1 thread. Call the cleanup action to restore the value. -- After calling cleanup you should requeue onto a new thread. increasePool :: Pool -> IO (IO ()) increasePool pool = do step pool $ \s -> return s{threadsLimit = threadsLimit s + 1} return $ step pool $ \s -> return s{threadsLimit = threadsLimit s - 1} -- | 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 ()) -> IO () -- run all tasks in the pool runPool deterministic n act = do s <- newVar $ Just $ emptyS n deterministic let cleanup = modifyVar_ s $ \s -> do -- if someone kills our thread, make sure we kill our child threads case s of Just s -> mapM_ killThread $ Set.toList $ threads s Nothing -> return () return Nothing flip onException cleanup $ do res <- newBarrier let pool = Pool s res addPool pool $ act pool res <- waitBarrier res case res of Left e -> throw e Right s -> addTiming $ "Pool finished (" ++ show (threadsSum s) ++ " threads, " ++ show (threadsMax s) ++ " max)"