{-# LANGUAGE BangPatterns #-} {-# LANGUAGE CPP #-} {-# LANGUAGE DeriveGeneric #-} {-# LANGUAGE MagicHash #-} {-# LANGUAGE RankNTypes #-} {-# LANGUAGE RecordWildCards #-} {-# LANGUAGE ScopedTypeVariables #-} {-# LANGUAGE UnboxedTuples #-} {-# LANGUAGE ViewPatterns #-} ----------------------------------------------------------------------------- -- | -- Module : Control.Retry -- Copyright : Ozgun Ataman <ozgun.ataman@soostone.com> -- License : BSD3 -- -- Maintainer : Ozgun Ataman -- Stability : provisional -- -- This module exposes combinators that can wrap arbitrary monadic -- actions. They run the action and potentially retry running it with -- some configurable delay for a configurable number of times. -- -- The express purpose of this library is to make it easier to work -- with IO and especially network IO actions that often experience -- temporary failure that warrant retrying of the original action. For -- example, a database query may time out for a while, in which case -- we should delay a bit and retry the query. ---------------------------------------------------------------------------- module Control.Retry ( -- * Types and Operations RetryPolicyM (..) , RetryPolicy , retryPolicy , RetryStatus (..) , defaultRetryStatus , applyPolicy , applyAndDelay -- ** Lenses for 'RetryStatus' , rsIterNumberL , rsCumulativeDelayL , rsPreviousDelayL -- * Applying Retry Policies , retrying , recovering , stepping , recoverAll , logRetries , defaultLogMsg -- * Retry Policies , constantDelay , exponentialBackoff , fullJitterBackoff , fibonacciBackoff , limitRetries -- * Policy Transformers , limitRetriesByDelay , capDelay -- * Development Helpers , simulatePolicy , simulatePolicyPP ) where ------------------------------------------------------------------------------- import Control.Applicative import Control.Arrow import Control.Concurrent #if MIN_VERSION_base(4, 7, 0) import Control.Exception (AsyncException, SomeAsyncException) #else import Control.Exception (AsyncException) #endif import Control.Monad import Control.Monad.Catch import Control.Monad.IO.Class import Control.Monad.Trans.Class import Control.Monad.Trans.Maybe import Control.Monad.Trans.State import Data.Default.Class import Data.List (foldl') import Data.Functor.Identity import Data.Maybe import GHC.Generics import GHC.Prim import GHC.Types (Int(I#)) import System.Random import Data.Monoid import Prelude hiding (catch) ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- -- | A 'RetryPolicyM' is a function that takes an 'RetryStatus' and -- possibly returns a delay in microseconds. Iteration numbers start -- at zero and increase by one on each retry. A *Nothing* return value from -- the function implies we have reached the retry limit. -- -- Please note that 'RetryPolicyM' is a 'Monoid'. You can collapse -- multiple strategies into one using 'mappend' or '<>'. The semantics -- of this combination are as follows: -- -- 1. If either policy returns 'Nothing', the combined policy returns -- 'Nothing'. This can be used to @inhibit@ after a number of retries, -- for example. -- -- 2. If both policies return a delay, the larger delay will be used. -- This is quite natural when combining multiple policies to achieve a -- certain effect. -- -- Example: -- -- One can easily define an exponential backoff policy with a limited -- number of retries: -- -- >> limitedBackoff = exponentialBackoff 50 <> limitRetries 5 -- -- Naturally, 'mempty' will retry immediately (delay 0) for an -- unlimited number of retries, forming the identity for the 'Monoid'. -- -- The default under 'def' implements a constant 50ms delay, up to 5 times: -- -- >> def = constantDelay 50000 <> limitRetries 5 -- -- For anything more complex, just define your own 'RetryPolicyM': -- -- >> myPolicy = retryPolicy $ \ rs -> if rsIterNumber n > 10 then Just 1000 else Just 10000 -- -- Since 0.7. newtype RetryPolicyM m = RetryPolicyM { getRetryPolicyM :: RetryStatus -> m (Maybe Int) } -- | Simplified 'RetryPolicyM' without any use of the monadic context in -- determining policy. Mostly maintains backwards compatitibility with -- type signatures pre-0.7. type RetryPolicy = forall m . Monad m => RetryPolicyM m instance Monad m => Default (RetryPolicyM m) where def = constantDelay 50000 <> limitRetries 5 instance Monad m => Monoid (RetryPolicyM m) where mempty = retryPolicy $ const (Just 0) (RetryPolicyM a) `mappend` (RetryPolicyM b) = RetryPolicyM $ \ n -> runMaybeT $ do a' <- MaybeT $ a n b' <- MaybeT $ b n return $! max a' b' ------------------------------------------------------------------------------- -- | Datatype with stats about retries made thus far. The constructor -- is deliberately not exported to make additional fields easier to -- add in a backward-compatible manner. To read or modify fields in -- RetryStatus, use the accessors or lenses below. Note that if you -- don't want to use lenses, the exported field names can be used for -- updates: -- -- >> retryStatus { rsIterNumber = newIterNumber } -- >> retryStatus & rsIterNumberL .~ newIterNumber data RetryStatus = RetryStatus { rsIterNumber :: !Int -- ^ Iteration number, where 0 is the first try , rsCumulativeDelay :: !Int -- ^ Delay incurred so far from retries in microseconds , rsPreviousDelay :: !(Maybe Int) -- ^ Latest attempt's delay. Will always be Nothing on first run. } deriving (Read, Show, Eq, Generic) ------------------------------------------------------------------------------- -- | Initial, default retry status. Exported mostly to allow user code -- to test their handlers and retry policies. Use fields or lenses to update. defaultRetryStatus :: RetryStatus defaultRetryStatus = RetryStatus 0 0 Nothing ------------------------------------------------------------------------------- rsIterNumberL :: Lens' RetryStatus Int rsIterNumberL = lens rsIterNumber (\rs x -> rs { rsIterNumber = x }) {-# INLINE rsIterNumberL #-} ------------------------------------------------------------------------------- rsCumulativeDelayL :: Lens' RetryStatus Int rsCumulativeDelayL = lens rsCumulativeDelay (\rs x -> rs { rsCumulativeDelay = x }) {-# INLINE rsCumulativeDelayL #-} ------------------------------------------------------------------------------- rsPreviousDelayL :: Lens' RetryStatus (Maybe Int) rsPreviousDelayL = lens rsPreviousDelay (\rs x -> rs { rsPreviousDelay = x }) {-# INLINE rsPreviousDelayL #-} ------------------------------------------------------------------------------- -- | Apply policy on status to see what the decision would be. -- 'Nothing' implies no retry, 'Just' returns updated status. applyPolicy :: Monad m => RetryPolicyM m -> RetryStatus -> m (Maybe RetryStatus) applyPolicy (RetryPolicyM policy) s = do res <- policy s case res of Just delay -> return $! Just $! RetryStatus { rsIterNumber = rsIterNumber s + 1 , rsCumulativeDelay = rsCumulativeDelay s `boundedPlus` delay , rsPreviousDelay = Just delay } Nothing -> return Nothing ------------------------------------------------------------------------------- -- | Apply policy and delay by its amount if it results in a retry. -- Return updated status. applyAndDelay :: MonadIO m => RetryPolicyM m -> RetryStatus -> m (Maybe RetryStatus) applyAndDelay policy s = do chk <- applyPolicy policy s case chk of Just rs -> do case (rsPreviousDelay rs) of Nothing -> return () Just delay -> liftIO $ threadDelay delay return (Just rs) Nothing -> return Nothing ------------------------------------------------------------------------------- -- | Helper for making simplified policies that don't use the monadic -- context. retryPolicy :: (RetryStatus -> Maybe Int) -> RetryPolicy retryPolicy f = RetryPolicyM $ \ s -> return (f s) ------------------------------------------------------------------------------- -- | Retry immediately, but only up to @n@ times. limitRetries :: Int -- ^ Maximum number of retries. -> RetryPolicy limitRetries i = retryPolicy $ \ RetryStatus { rsIterNumber = n} -> if n >= i then Nothing else (Just 0) ------------------------------------------------------------------------------- -- | Add an upperbound to a policy such that once the given time-delay -- amount has been reached or exceeded, the policy will stop retrying -- and fail. limitRetriesByDelay :: Int -- ^ Time-delay limit in microseconds. -> RetryPolicy -> RetryPolicy limitRetriesByDelay i p = RetryPolicyM $ \ n -> (>>= limit) `liftM` getRetryPolicyM p n where limit delay = if delay >= i then Nothing else Just delay ------------------------------------------------------------------------------- -- | Implement a constant delay with unlimited retries. constantDelay :: Int -- ^ Base delay in microseconds -> RetryPolicy constantDelay delay = retryPolicy (const (Just delay)) ------------------------------------------------------------------------------- -- | Grow delay exponentially each iteration. Each delay will -- increase by a factor of two. exponentialBackoff :: Int -- ^ First delay in microseconds -> RetryPolicy exponentialBackoff base = retryPolicy $ \ RetryStatus { rsIterNumber = n } -> Just $! base `boundedMult` boundedPow 2 n ------------------------------------------------------------------------------- -- | FullJitter exponential backoff as explained in AWS Architecture -- Blog article. -- -- @http:\/\/www.awsarchitectureblog.com\/2015\/03\/backoff.html@ -- -- temp = min(cap, base * 2 ** attempt) -- -- sleep = temp / 2 + random_between(0, temp / 2) fullJitterBackoff :: MonadIO m => Int -> RetryPolicyM m fullJitterBackoff base = RetryPolicyM $ \ RetryStatus { rsIterNumber = n } -> do let d = (base `boundedMult` boundedPow 2 n) `div` 2 rand <- liftIO $ randomRIO (0, d) return $! Just $! d `boundedPlus` rand ------------------------------------------------------------------------------- -- | Implement Fibonacci backoff. fibonacciBackoff :: Int -- ^ Base delay in microseconds -> RetryPolicy fibonacciBackoff base = retryPolicy $ \RetryStatus { rsIterNumber = n } -> Just $ fib (n + 1) (0, base) where fib 0 (a, _) = a fib !m (!a, !b) = fib (m-1) (b, a `boundedPlus` b) ------------------------------------------------------------------------------- -- | Set a time-upperbound for any delays that may be directed by the -- given policy. This function does not terminate the retrying. The policy -- `capDelay maxDelay (exponentialBackoff n)` will never stop retrying. It -- will reach a state where it retries forever with a delay of `maxDelay` -- between each one. To get termination you need to use one of the -- 'limitRetries' function variants. capDelay :: Monad m => Int -- ^ A maximum delay in microseconds -> RetryPolicyM m -> RetryPolicyM m capDelay limit p = RetryPolicyM $ \ n -> (fmap (min limit)) `liftM` (getRetryPolicyM p) n ------------------------------------------------------------------------------- -- | Retry combinator for actions that don't raise exceptions, but -- signal in their type the outcome has failed. Examples are the -- 'Maybe', 'Either' and 'EitherT' monads. -- -- Let's write a function that always fails and watch this combinator -- retry it 5 additional times following the initial run: -- -- >>> import Data.Maybe -- >>> let f _ = putStrLn "Running action" >> return Nothing -- >>> retrying def (const $ return . isNothing) f -- Running action -- Running action -- Running action -- Running action -- Running action -- Running action -- Nothing -- -- Note how the latest failing result is returned after all retries -- have been exhausted. retrying :: MonadIO m => RetryPolicyM m -> (RetryStatus -> b -> m Bool) -- ^ An action to check whether the result should be retried. -- If True, we delay and retry the operation. -> (RetryStatus -> m b) -- ^ Action to run -> m b retrying policy chk f = go defaultRetryStatus where go s = do res <- f s chk' <- chk s res case chk' of True -> do rs <- applyAndDelay policy s case rs of Nothing -> return res Just rs' -> go $! rs' False -> return res ------------------------------------------------------------------------------- -- | Retry ALL exceptions that may be raised. To be used with caution; -- this matches the exception on 'SomeException'. Note that this -- handler explicitly does not handle 'AsyncException' nor -- 'SomeAsyncException' (for versions of base >= 4.7). It is not a -- good idea to catch async exceptions as it can result in hanging -- threads and programs. Note that if you just throw an exception to -- this thread that does not descend from SomeException, recoverAll -- will catch it. -- -- See how the action below is run once and retried 5 more times -- before finally failing for good: -- -- >>> let f _ = putStrLn "Running action" >> error "this is an error" -- >>> recoverAll def f -- Running action -- Running action -- Running action -- Running action -- Running action -- Running action -- *** Exception: this is an error recoverAll #if MIN_VERSION_exceptions(0, 6, 0) :: (MonadIO m, MonadMask m) #else :: (MonadIO m, MonadCatch m) #endif => RetryPolicyM m -> (RetryStatus -> m a) -> m a recoverAll set f = recovering set handlers f where #if MIN_VERSION_base(4, 7, 0) someAsyncH _ = Handler $ \(_ :: SomeAsyncException) -> return False handlers = [asyncH, someAsyncH, h] #else handlers = [asyncH, h] #endif asyncH _ = Handler $ \ (_ :: AsyncException) -> return False h _ = Handler $ \ (_ :: SomeException) -> return True ------------------------------------------------------------------------------- -- | Run an action and recover from a raised exception by potentially -- retrying the action a number of times. Note that if you're going to -- use a handler for 'SomeException', you should add explicit cases -- *earlier* in the list of handlers to reject 'AsyncException' and -- 'SomeAsyncException', as catching these can cause thread and -- program hangs. 'recoverAll' already does this for you so if you -- just plan on catching 'SomeException', you may as well ues -- 'recoverAll' recovering #if MIN_VERSION_exceptions(0, 6, 0) :: (MonadIO m, MonadMask m) #else :: (MonadIO m, MonadCatch m) #endif => RetryPolicyM m -- ^ Just use 'def' for default settings -> [(RetryStatus -> Handler m Bool)] -- ^ Should a given exception be retried? Action will be -- retried if this returns True *and* the policy allows it. -- This action will be consulted first even if the policy -- later blocks it. -> (RetryStatus -> m a) -- ^ Action to perform -> m a recovering policy hs f = mask $ \restore -> go restore defaultRetryStatus where go restore = loop where loop s = do r <- try $ restore (f s) case r of Right x -> return x Left e -> recover (e :: SomeException) hs where recover e [] = throwM e recover e ((($ s) -> Handler h) : hs') | Just e' <- fromException e = do chk <- h e' case chk of True -> do rs <- applyAndDelay policy s case rs of Just rs' -> loop $! rs' Nothing -> throwM e' False -> throwM e' | otherwise = recover e hs' ------------------------------------------------------------------------------- -- | A version of 'recovering' that tries to run the action only a -- single time. The control will return immediately upon both success -- and failure. Useful for implementing retry logic in distributed -- queues and similar external-interfacing systems. stepping #if MIN_VERSION_exceptions(0, 6, 0) :: (MonadIO m, MonadMask m) #else :: (MonadIO m, MonadCatch m) #endif => RetryPolicyM m -- ^ Just use 'def' for default settings -> [(RetryStatus -> Handler m Bool)] -- ^ Should a given exception be retried? Action will be -- retried if this returns True *and* the policy allows it. -- This action will be consulted first even if the policy -- later blocks it. -> (RetryStatus -> m ()) -- ^ Action to run with updated status upon failure. -> (RetryStatus -> m a) -- ^ Main action to perform with current status. -> RetryStatus -- ^ Current status of this step -> m (Maybe a) stepping policy hs schedule f s = do r <- try $ f s case r of Right x -> return $ Just x Left e -> recover (e :: SomeException) hs where recover e [] = throwM e recover e ((($ s) -> Handler h) : hs') | Just e' <- fromException e = do chk <- h e' case chk of True -> do res <- applyPolicy policy s case res of Just rs -> do schedule $! rs return Nothing Nothing -> throwM e' False -> throwM e' | otherwise = recover e hs' ------------------------------------------------------------------------------- -- | Helper function for constructing handler functions of the form required -- by 'recovering'. logRetries :: (Monad m, Show e, Exception e) => (e -> m Bool) -- ^ Test for whether action is to be retried -> (Bool -> e -> RetryStatus -> m ()) -- ^ How to report the generated warning message. Boolean is -- whether it's being retried or crashed. -> RetryStatus -- ^ Retry number -> Handler m Bool logRetries test reporter status = Handler $ \ err -> do result <- test err reporter result err status return result -- | For use with 'logRetries'. defaultLogMsg :: (Show e, Exception e) => Bool -> e -> RetryStatus -> String defaultLogMsg shouldRetry err status = "[retry:" <> iter <> "] Encountered " <> show err <> ". " <> next where iter = show $ rsIterNumber status next = if shouldRetry then "Retrying." else "Crashing." ------------------------------------------------------------------------------- -- | Run given policy up to N iterations and gather results. In the -- pair, the @Int@ is the iteration number and the @Maybe Int@ is the -- delay in microseconds. simulatePolicy :: Monad m => Int -> RetryPolicyM m -> m [(Int, Maybe Int)] simulatePolicy n (RetryPolicyM f) = flip evalStateT defaultRetryStatus $ forM [0..n] $ \i -> do stat <- get delay <- lift (f stat) put $! stat { rsIterNumber = i + 1 , rsCumulativeDelay = rsCumulativeDelay stat `boundedPlus` fromMaybe 0 delay , rsPreviousDelay = delay } return (i, delay) ------------------------------------------------------------------------------- -- | Run given policy up to N iterations and pretty print results on -- the console. simulatePolicyPP :: Int -> RetryPolicyM IO -> IO () simulatePolicyPP n p = do ps <- simulatePolicy n p forM_ ps $ \ (n, res) -> putStrLn $ show n <> ": " <> maybe "Inhibit" ppTime res putStrLn $ "Total cumulative delay would be: " <> (ppTime $ boundedSum $ (mapMaybe snd) ps) ------------------------------------------------------------------------------- ppTime :: (Integral a, Show a) => a -> String ppTime n | n < 1000 = show n <> "us" | n < 1000000 = show (fromIntegral n / 1000) <> "ms" | otherwise = show (fromIntegral n / 1000) <> "ms" ------------------------------------------------------------------------------- -- Bounded arithmetic ------------------------------------------------------------------------------- -- | Same as '+' on 'Int' but it maxes out at @'maxBound' :: 'Int'@ or -- @'minBound' :: 'Int'@ rather than rolling over boundedPlus :: Int -> Int -> Int boundedPlus i@(I# i#) j@(I# j#) = case addIntC# i# j# of (# k#, 0# #) -> I# k# (# _, _ #) | maxBy abs i j < 0 -> minBound | otherwise -> maxBound where maxBy f a b = if f a >= f b then a else b -- | Same as '*' on 'Int' but it maxes out at @'maxBound' :: 'Int'@ or -- @'minBound' :: 'Int'@ rather than rolling over boundedMult :: Int -> Int -> Int boundedMult i@(I# i#) j@(I# j#) = case mulIntMayOflo# i# j# of 0# -> I# (i# *# j#) _ | signum i * signum j < 0 -> minBound | otherwise -> maxBound -- | Same as 'sum' on 'Int' but it maxes out at @'maxBound' :: 'Int'@ or -- @'minBound' :: 'Int'@ rather than rolling over boundedSum :: [Int] -> Int boundedSum = foldl' boundedPlus 0 -- | Same as '^' on 'Int' but it maxes out at @'maxBound' :: 'Int'@ or -- @'MinBound' :: 'Int'@ rather than rolling over boundedPow :: Int -> Int -> Int boundedPow x0 y0 | y0 < 0 = error "Negative exponent" | y0 == 0 = 1 | otherwise = f x0 y0 where f x y | even y = f (x `boundedMult` x) (y `quot` 2) | y == 1 = x | otherwise = g (x `boundedMult` x) ((y - 1) `quot` 2) x g x y z | even y = g (x `boundedMult` x) (y `quot` 2) z | y == 1 = x `boundedMult` z | otherwise = g (x `boundedMult` x) ((y - 1) `quot` 2) (x `boundedMult` z) ------------------------------------------------------------------------------- -- Lens machinery ------------------------------------------------------------------------------- -- Unexported type aliases to clean up the documentation type Lens s t a b = forall f. Functor f => (a -> f b) -> s -> f t type Lens' s a = Lens s s a a ------------------------------------------------------------------------------- lens :: (s -> a) -> (s -> b -> t) -> Lens s t a b lens sa sbt afb s = sbt s <$> afb (sa s) {-# INLINE lens #-} ------------------ -- Simple Tests -- ------------------ -- data TestException = TestException deriving (Show, Typeable) -- data AnotherException = AnotherException deriving (Show, Typeable) -- instance Exception TestException -- instance Exception AnotherException -- test = retrying def [h1,h2] f -- where -- f = putStrLn "Running action" >> throwM AnotherException -- h1 = Handler $ \ (e :: TestException) -> return False -- h2 = Handler $ \ (e :: AnotherException) -> return True