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mongoDB 0.6 → 0.6.1

raw patch · 4 files changed

+105/−39 lines, 4 files

Files

Database/MongoDB.hs view
@@ -1,4 +1,42 @@--- | Client interface to MongoDB server(s)+{- |+Client interface to MongoDB server(s).++Simple example:++>+> {-# LANGUAGE OverloadedStrings #-}+>+> import Database.MongoDB+>+> main = do+>    e <- connect (server "127.0.0.1")+>    conn <- either (fail . show) return e+>    e <- runConn run conn+>    either (fail . show) return e+>+> run = useDb "baseball" $ do+>    clearTeams+>    insertTeams+>    print' "All Teams" =<< allTeams+>    print' "National League Teams" =<< nationalLeagueTeams+>    print' "New York Teams" =<< newYorkTeams+>+> clearTeams = delete (select [] "team")+>+> insertTeams = insertMany "team" [+>    ["name" =: "Yankees", "home" =: ["city" =: "New York", "state" =: "NY"], "league" =: "American"],+>    ["name" =: "Mets", "home" =: ["city" =: "New York", "state" =: "NY"], "league" =: "National"],+>    ["name" =: "Phillies", "home" =: ["city" =: "Philadelphia", "state" =: "PA"], "league" =: "National"],+>    ["name" =: "Red Sox", "home" =: ["city" =: "Boston", "state" =: "MA"], "league" =: "American"] ]+>+> allTeams = rest =<< find (select [] "team") {sort = ["city" =: 1]}+>+> nationalLeagueTeams = rest =<< find (select ["league" =: "National"] "team")+>+> newYorkTeams = rest =<< find (select ["home.state" =: "NY"] "team") {project = ["name" =: 1, "league" =: 1]}+>+> print' title docs = liftIO $ putStrLn title >> mapM_ print docs+-}  module Database.MongoDB ( 	module Data.Bson,
Database/MongoDB/Internal/Protocol.hs view
@@ -15,7 +15,7 @@ 	-- ** Request 	Request(..), QueryOption(..), 	-- ** Reply-	Reply(..),+	Reply(..), ResponseFlag(..), 	-- * Authentication 	Username, Password, Nonce, pwHash, pwKey ) where@@ -238,12 +238,18 @@  -- | A reply is a message received in response to a 'Request' data Reply = Reply {-	rResponseFlag :: Int32,  -- ^ 0 = success, non-zero = failure+	rResponseFlags :: [ResponseFlag], 	rCursorId :: CursorId,  -- ^ 0 = cursor finished 	rStartingFrom :: Int32, 	rDocuments :: [Document] 	} deriving (Show, Eq) +data ResponseFlag =+	  CursorNotFound  -- ^ Set when getMore is called but the cursor id is not valid at the server. Returned with zero results.+	| QueryError  -- ^ Server error. Results contains one document containing an "$err" field holding the error message.+	| AwaitCapable  -- ^ For backward compatability: Set when the server supports the AwaitData query option. if it doesn't, a replica slave client should sleep a little between getMore's+	deriving (Show, Eq, Enum)+ -- * Binary format  replyOpcode :: Opcode@@ -253,12 +259,20 @@ getReply = do 	(opcode, responseTo) <- getHeader 	unless (opcode == replyOpcode) $ fail $ "expected reply opcode (1) but got " ++ show opcode-	rResponseFlag <- getInt32+	rResponseFlags <-  rFlags <$> getInt32 	rCursorId <- getInt64 	rStartingFrom <- getInt32 	numDocs <- fromIntegral <$> getInt32 	rDocuments <- replicateM numDocs getDocument 	return (responseTo, Reply{..})++rFlags :: Int32 -> [ResponseFlag]+rFlags bits = filter (testBit bits . rBit) [CursorNotFound ..]++rBit :: ResponseFlag -> Int+rBit CursorNotFound = 0+rBit QueryError = 1+rBit AwaitCapable = 3  -- * Authentication 
Database/MongoDB/Query.hs view
@@ -1,10 +1,10 @@ -- | Query and update documents residing on a MongoDB server(s) -{-# LANGUAGE OverloadedStrings, RecordWildCards, NamedFieldPuns, TupleSections, FlexibleContexts, FlexibleInstances, UndecidableInstances, MultiParamTypeClasses #-}+{-# LANGUAGE OverloadedStrings, RecordWildCards, NamedFieldPuns, TupleSections, FlexibleContexts, FlexibleInstances, UndecidableInstances, MultiParamTypeClasses, GeneralizedNewtypeDeriving #-}  module Database.MongoDB.Query ( 	-- * Connection-	Failure(..), Conn, Connected, runConn,+	Connected, runConn, Conn, Failure(..), 	-- * Database 	Database, allDatabases, DbConn, useDb, thisDatabase, 	-- ** Authentication@@ -52,12 +52,23 @@ import Data.Bson import Data.Word import Data.Int-import Data.Maybe (listToMaybe, catMaybes)+import Data.Maybe (listToMaybe, catMaybes, mapMaybe) import Data.UString as U (dropWhile, any, tail) import Database.MongoDB.Internal.Util (loop, (<.>), true1)  -- plus Applicative instances of ErrorT & ReaderT --- * Connection+-- * Connected +newtype Connected m a = Connected (ErrorT Failure (ReaderT WriteMode (ReaderT Connection m)) a)+	deriving (Context Connection, Context WriteMode, MonadError Failure, MonadIO, Monad, Applicative, Functor)+-- ^ Monad with access to a 'Connection' and 'WriteMode' and throws a 'Failure' on connection or server failure++instance MonadTrans Connected where+	lift = Connected . lift . lift . lift++runConn :: Connected m a -> Connection -> m (Either Failure a)+-- ^ Run action with access to connection. Return Left Failure if connection or server fails during execution.+runConn (Connected action) = runReaderT (runReaderT (runErrorT action) Unsafe)+ -- | A monad with access to a 'Connection' and 'WriteMode' and throws a 'Failure' on connection or server failure class (Context Connection m, Context WriteMode m, MonadError Failure m, MonadIO m, Applicative m, Functor m) => Conn m instance (Context Connection m, Context WriteMode m, MonadError Failure m, MonadIO m, Applicative m, Functor m) => Conn m@@ -72,12 +83,6 @@  instance Error Failure where strMsg = ServerFailure -type Connected m = ErrorT Failure (ReaderT WriteMode (ReaderT Connection m))--runConn :: Connected m a -> Connection -> m (Either Failure a)--- ^ Run action with access to connection. Return Left Failure if connection or server fails during execution.-runConn action = runReaderT (runReaderT (runErrorT action) Unsafe)- send :: (Conn m) => [Notice] -> m () -- ^ Send notices as a contiguous batch to server with no reply. Raise Failure if connection fails. send ns = do@@ -298,7 +303,7 @@ -- ^ Maximum number of documents to return, i.e. cursor will close after iterating over this number of documents. 0 means no limit.  type Order = Document--- ^ Fields to sort by. Each one is associated with 1 or -1. Eg. @[x =: 1, y =: (-1)]@ means sort by @x@ ascending then @y@ descending+-- ^ Fields to sort by. Each one is associated with 1 or -1. Eg. @[x =: 1, y =: -1]@ means sort by @x@ ascending then @y@ descending  type BatchSize = Word32 -- ^ The number of document to return in each batch response from the server. 0 means use Mongo default.@@ -310,10 +315,12 @@ batchSizeRemainingLimit :: BatchSize -> Limit -> (Int32, Limit) -- ^ Given batchSize and limit return P.qBatchSize and remaining limit batchSizeRemainingLimit batchSize limit = if limit == 0-	then (fromIntegral batchSize, 0)  -- no limit-	else if 0 < batchSize && batchSize < limit-		then (fromIntegral batchSize, limit - batchSize)+	then (fromIntegral batchSize', 0)  -- no limit+	else if 0 < batchSize' && batchSize' < limit+		then (fromIntegral batchSize', limit - batchSize') 		else (- fromIntegral limit, 1)+ where batchSize' = if batchSize == 1 then 2 else batchSize+ 	-- batchSize 1 is broken because server converts 1 to -1 meaning limit 1  queryRequest :: Bool -> Query -> Database -> (Request, Limit) -- ^ Translate Query to Protocol.Query. If first arg is true then add special $explain attribute.@@ -334,6 +341,12 @@ -- ^ Send query request and return cursor state runQuery isExplain ns q = call' ns . queryRequest isExplain q =<< thisDatabase +call' :: (Conn m) => [Notice] -> (Request, Limit) -> m CursorState'+-- ^ Send notices and request and return promised cursor state+call' ns (req, remainingLimit) = do+	promise <- call ns req+	return $ Delayed (fmap (fromReply remainingLimit =<<) promise)+ find :: (DbConn m) => Query -> m Cursor -- ^ Fetch documents satisfying query find q@Query{selection, batchSize} = do@@ -397,15 +410,16 @@  fromReply :: Limit -> Reply -> Either Failure CursorState -- ^ Convert Reply to CursorState or Failure-fromReply limit Reply{..} = if rResponseFlag == 0-	then Right (CS limit rCursorId rDocuments)-	else Left . ServerFailure $ "Query failure " ++ show rResponseFlag ++ " " ++ show rDocuments--call' :: (Conn m) => [Notice] -> (Request, Limit) -> m CursorState'--- ^ Send notices and request and return promised cursor state-call' ns (req, remainingLimit) = do-	promise <- call ns req-	return $ Delayed (fmap (fromReply remainingLimit =<<) promise)+fromReply limit Reply{..} = case mapMaybe fromResponseFlag rResponseFlags of+	[] -> Right (CS limit rCursorId rDocuments)+	err : _ -> Left err+ where+	fromResponseFlag :: ResponseFlag -> Maybe Failure+	-- ^ If response flag indicate failure then Just Failure, otherwise Nothing+	fromResponseFlag x = case x of+		AwaitCapable -> Nothing+		CursorNotFound -> Just . ServerFailure $ "Cursor " ++ show rCursorId ++ " not found"+		QueryError -> Just . ServerFailure $ "Query failure " ++ show rDocuments  newCursor :: (Conn m) => Database -> Collection -> BatchSize -> CursorState' -> m Cursor -- ^ Create new cursor. If you don't read all results then close it. Cursor will be closed automatically when all results are read from it or when eventually garbage collected.@@ -432,9 +446,8 @@ 			[] -> if cid == 0 				then return (CursorState $ CS 0 0 [], Nothing)  -- finished 				else error $ "server returned empty batch but says more results on server"-	nextBatch fcol batch limit cid = let-		(batchSize, remLimit) = batchSizeRemainingLimit batch limit-		in call' [] (GetMore fcol batchSize cid, remLimit)+	nextBatch fcol batch limit cid = call' [] (GetMore fcol batchSize cid, remLimit)+		where (batchSize, remLimit) = batchSizeRemainingLimit batch limit  nextN :: (Conn m) => Int -> Cursor -> m [Document] -- ^ Return next N documents or less if end is reached@@ -454,17 +467,18 @@  -- ** Group +-- | Groups documents in collection by key then reduces (aggregates) each group data Group = Group { 	gColl :: Collection, 	gKey :: GroupKey,  -- ^ Fields to group by-	gReduce :: Javascript,  -- ^ The reduce function aggregates (reduces) the objects iterated. Typical operations of a reduce function include summing and counting. reduce takes two arguments: the current document being iterated over and the aggregation value.-	gInitial :: Document,  -- ^ Initial aggregation value supplied to reduce+	gReduce :: Javascript,  -- ^ @(doc, agg) -> ()@. The reduce function reduces (aggregates) the objects iterated. Typical operations of a reduce function include summing and counting. It takes two arguments, the current document being iterated over and the aggregation value, and updates the aggregate value.+	gInitial :: Document,  -- ^ @agg@. Initial aggregation value supplied to reduce 	gCond :: Selector,  -- ^ Condition that must be true for a row to be considered. [] means always true.-	gFinalize :: Maybe Javascript  -- ^ An optional function to be run on each item in the result set just before the item is returned. Can either modify the item (e.g., add an average field given a count and a total) or return a replacement object (returning a new object with just _id and average fields).+	gFinalize :: Maybe Javascript  -- ^ @agg -> () | result@. An optional function to be run on each item in the result set just before the item is returned. Can either modify the item (e.g., add an average field given a count and a total) or return a replacement object (returning a new object with just _id and average fields). 	} deriving (Show, Eq)  data GroupKey = Key [Label] | KeyF Javascript  deriving (Show, Eq)--- ^ Fields to group by, or function returning a "key object" to be used as the grouping key. Use this instead of key to specify a key that is not an existing member of the object (or, to access embedded members).+-- ^ Fields to group by, or function (@doc -> key@) returning a "key object" to be used as the grouping key. Use KeyF instead of Key to specify a key that is not an existing member of the object (or, to access embedded members).  groupDocument :: Group -> Document -- ^ Translate Group data into expected document form@@ -482,12 +496,12 @@  -- ** MapReduce --- | Maps every document in collection to a (key, value) pair, then for each unique key reduces all its associated values to a result. Therefore, the final output is a list of (key, result) pairs, where every key is unique. This is the basic description. There are additional nuances that may be used. See <http://www.mongodb.org/display/DOCS/MapReduce> for details.+-- | Maps every document in collection to a list of (key, value) pairs, then for each unique key reduces all its associated values from all lists to a single result. There are additional parameters that may be set to tweak this basic operation. data MapReduce = MapReduce { 	rColl :: Collection, 	rMap :: MapFun, 	rReduce :: ReduceFun,-	rSelect :: Selector,  -- ^ Default is []+	rSelect :: Selector,  -- ^ Operate on only those documents selected. Default is [] meaning all documents. 	rSort :: Order,  -- ^ Default is [] meaning no sort 	rLimit :: Limit,  -- ^ Default is 0 meaning no limit 	rOut :: Maybe Collection,  -- ^ Output to given permanent collection, otherwise output to a new temporary collection whose name is returned.@@ -498,10 +512,10 @@ 	} deriving (Show, Eq)  type MapFun = Javascript--- ^ @() -> void@. The map function references the variable this to inspect the current object under consideration. A map function must call @emit(key,value)@ at least once, but may be invoked any number of times, as may be appropriate.+-- ^ @() -> void@. The map function references the variable @this@ to inspect the current object under consideration. The function must call @emit(key,value)@ at least once, but may be invoked any number of times, as may be appropriate.  type ReduceFun = Javascript--- ^ @(key, value_array) -> value@. The reduce function receives a key and an array of values. To use, reduce the received values, and return a result. The MapReduce engine may invoke reduce functions iteratively; thus, these functions must be idempotent.  That is, the following must hold for your reduce function: @for all k, vals : reduce(k, [reduce(k,vals)]) == reduce(k,vals)@. If you need to perform an operation only once, use a finalize function. The output of emit (the 2nd param) and reduce should be the same format to make iterative reduce possible.+-- ^ @(key, value_array) -> value@. The reduce function receives a key and an array of values and returns an aggregate result value. The MapReduce engine may invoke reduce functions iteratively; thus, these functions must be idempotent.  That is, the following must hold for your reduce function: @for all k, vals : reduce(k, [reduce(k,vals)]) == reduce(k,vals)@. If you need to perform an operation only once, use a finalize function. The output of emit (the 2nd param) and reduce should be the same format to make iterative reduce possible.  type FinalizeFun = Javascript -- ^ @(key, value) -> final_value@. A finalize function may be run after reduction.  Such a function is optional and is not necessary for many map/reduce cases.  The finalize function takes a key and a value, and returns a finalized value.
mongoDB.cabal view
@@ -1,5 +1,5 @@ Name:		mongoDB-Version:	0.6+Version:	0.6.1 License:	OtherLicense License-file:	LICENSE Maintainer:	Tony Hannan <tony@10gen.com>