446 lines
22 KiB
Haskell
446 lines
22 KiB
Haskell
-- | Query and update documents residing on a MongoDB server(s)
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{-# LANGUAGE OverloadedStrings, RecordWildCards, NamedFieldPuns, TupleSections #-}
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module Database.MongoDB.Query (
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-- * Database
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Database, allDatabases, Db, useDb, thisDatabase, runDbOp,
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-- ** Authentication
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P.Username, P.Password, auth,
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-- * Collection
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Collection, allCollections,
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-- ** Selection
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Selection(..), select, Selector, whereJS,
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-- * Write
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-- ** Insert
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insert, insert_, insertMany, insertMany_,
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-- ** Update
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save, replace, repsert, Modifier, modify,
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-- ** Delete
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delete, deleteOne,
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-- * Read
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-- ** Query
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Query(..), P.QueryOption(..), Projector, Limit, Order, BatchSize, query,
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explain, find, findOne, count, distinct,
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-- *** Cursor
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Cursor, next, nextN, rest, closeCursor,
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-- ** Group
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Group(..), GroupKey(..), group,
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-- ** MapReduce
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MapReduce(..), MapFun, ReduceFun, FinalizeFun, mapReduce, runMR, runMR',
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-- * Command
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Command, runCommand, runCommand1,
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eval,
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ErrorCode, getLastError, resetLastError
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) where
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import Prelude as X hiding (lookup)
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import Control.Applicative ((<$>))
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import Database.MongoDB.Internal.Connection
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import qualified Database.MongoDB.Internal.Protocol as P
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import Database.MongoDB.Internal.Protocol hiding (insert, update, delete, query, Query(Query))
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import Data.Bson
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import Data.Word
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import Data.Int
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import Control.Monad.Reader
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import Control.Concurrent.MVar
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import Data.Maybe (listToMaybe, catMaybes)
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import Data.UString as U (dropWhile, any, tail)
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import Database.MongoDB.Util (loop, (<.>), true1)
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-- * Database
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type Database = UString
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-- ^ Database name
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allDatabases :: (Conn m) => m [Database]
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-- ^ List all databases residing on server
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allDatabases = map (at "name") . at "databases" <$> useDb "admin" (runCommand1 "listDatabases")
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type Db m = ReaderT Database m
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useDb :: Database -> Db m a -> m a
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-- ^ Run Db action against given database
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useDb = flip runReaderT
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thisDatabase :: (Monad m) => Db m Database
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-- ^ Current database in use
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thisDatabase = ask
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runDbOp :: (Conn m) => Db Op a -> Db m a
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-- ^ Run db operation with exclusive access to the connection
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runDbOp dbOp = ReaderT (runOp . flip useDb dbOp)
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-- * Authentication
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auth :: (Conn m) => Username -> Password -> Db m Bool
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-- ^ Authenticate with the database (if server is running in secure mode). Return whether authentication was successful or not. Reauthentication is required for every new connection.
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auth u p = do
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n <- at "nonce" <$> runCommand ["getnonce" =: (1 :: Int)]
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true1 "ok" <$> runCommand ["authenticate" =: (1 :: Int), "user" =: u, "nonce" =: n, "key" =: pwKey n u p]
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-- * Collection
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type Collection = UString
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-- ^ Collection name (not prefixed with database)
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allCollections :: (Conn m) => Db m [Collection]
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-- ^ List all collections in this database
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allCollections = do
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db <- thisDatabase
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docs <- rest =<< find (query [] "system.namespaces") {sort = ["name" =: (1 :: Int)]}
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return . filter (not . isSpecial db) . map dropDbPrefix $ map (at "name") docs
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where
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dropDbPrefix = U.tail . U.dropWhile (/= '.')
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isSpecial db col = U.any (== '$') col && db <.> col /= "local.oplog.$main"
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-- * Selection
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data Selection = Select {selector :: Selector, coll :: Collection} deriving (Show, Eq)
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-- ^ Selects documents in collection that match selector
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select :: Selector -> Collection -> Selection
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-- ^ Synonym for 'Select'
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select = Select
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type Selector = Document
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-- ^ Filter for a query, analogous to the where clause in SQL. @[]@ matches all documents in collection. @[x =: a, y =: b]@ is analogous to @where x = a and y = b@ in SQL. See <http://www.mongodb.org/display/DOCS/Querying> for full selector syntax.
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whereJS :: Selector -> Javascript -> Selector
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-- ^ Add Javascript predicate to selector, in which case a document must match both selector and predicate
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whereJS sel js = ("$where" =: js) : sel
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-- * Write
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-- ** Insert
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insert :: (Conn m) => Collection -> Document -> Db m Value
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-- ^ Insert document into collection and return its \"_id\" value, which is created automatically if not supplied
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insert col doc = head <$> insertMany col [doc]
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insert_ :: (Conn m) => Collection -> Document -> Db m ()
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-- ^ Same as 'insert' except don't return _id
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insert_ col doc = insert col doc >> return ()
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insertMany :: (Conn m) => Collection -> [Document] -> Db m [Value]
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-- ^ Insert documents into collection and return their \"_id\" values, which are created automatically if not supplied
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insertMany col docs = ReaderT $ \db -> do
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docs' <- liftIO $ mapM assignId docs
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runOp $ P.insert (Insert (db <.> col) docs')
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mapM (look "_id") docs'
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insertMany_ :: (Conn m) => Collection -> [Document] -> Db m ()
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-- ^ Same as 'insertMany' except don't return _ids
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insertMany_ col docs = insertMany col docs >> return ()
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assignId :: Document -> IO Document
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-- ^ Assign a unique value to _id field if missing
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assignId doc = if X.any (("_id" ==) . label) doc
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then return doc
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else (\oid -> ("_id" =: oid) : doc) <$> genObjectId
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-- ** Update
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save :: (Conn m) => Collection -> Document -> Db m ()
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-- ^ Save document to collection, meaning insert it if its new (has no \"_id\" field) or update it if its not new (has \"_id\" field)
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save col doc = case look "_id" doc of
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Nothing -> insert_ col doc
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Just i -> repsert (Select ["_id" := i] col) doc
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replace :: (Conn m) => Selection -> Document -> Db m ()
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-- ^ Replace first document in selection with given document
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replace = update []
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repsert :: (Conn m) => Selection -> Document -> Db m ()
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-- ^ Replace first document in selection with given document, or insert document if selection is empty
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repsert = update [Upsert]
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type Modifier = Document
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-- ^ Update operations on fields in a document. See <http://www.mongodb.org/display/DOCS/Updating#Updating-ModifierOperations>
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modify :: (Conn m) => Selection -> Modifier -> Db m ()
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-- ^ Update all documents in selection using given modifier
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modify = update [MultiUpdate]
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update :: (Conn m) => [UpdateOption] -> Selection -> Document -> Db m ()
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-- ^ Update first document in selection using updater document, unless 'MultiUpdate' option is supplied then update all documents in selection. If 'Upsert' option is supplied then treat updater as document and insert it if selection is empty.
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update opts (Select sel col) up = ReaderT $ \db -> runOp $ P.update (Update (db <.> col) opts sel up)
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-- ** Delete
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delete :: (Conn m) => Selection -> Db m ()
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-- ^ Delete all documents in selection
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delete (Select sel col) = ReaderT $ \db -> runOp $ P.delete (Delete (db <.> col) [] sel)
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deleteOne :: (Conn m) => Selection -> Db m ()
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-- ^ Delete first document in selection
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deleteOne (Select sel col) = ReaderT $ \db -> runOp $ P.delete (Delete (db <.> col) [SingleRemove] sel)
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-- * Read
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-- ** Query
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data Query = Query {
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options :: [QueryOption],
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selection :: Selection,
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project :: Projector, -- ^ \[\] = all fields
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skip :: Word32, -- ^ Number of initial matching documents to skip
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limit :: Limit, -- ^ Maximum number of documents to return, 0 = no limit
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sort :: Order, -- ^ Sort results by this order, [] = no sort
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snapshot :: Bool, -- ^ If true assures no duplicates are returned, or objects missed, which were present at both the start and end of the query's execution (even if the object were updated). If an object is new during the query, or deleted during the query, it may or may not be returned, even with snapshot mode. Note that short query responses (less than 1MB) are always effectively snapshotted.
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batchSize :: BatchSize, -- ^ The number of document to return in each batch response from the server. 0 means use Mongo default.
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hint :: Order -- ^ Force MongoDB to use this index, [] = no hint
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} deriving (Show, Eq)
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type Projector = Document
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-- ^ Fields to return, analogous to the select clause in SQL. @[]@ means return whole document (analogous to * in SQL). @[x =: 1, y =: 1]@ means return only @x@ and @y@ fields of each document. @[x =: 0]@ means return all fields except @x@.
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type Limit = Word32
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-- ^ Maximum number of documents to return, i.e. cursor will close after iterating over this number of documents. 0 means no limit.
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type Order = Document
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-- ^ 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
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type BatchSize = Word32
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-- ^ The number of document to return in each batch response from the server. 0 means use Mongo default.
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query :: Selector -> Collection -> Query
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-- ^ Selects documents in collection that match selector. It uses no query options, projects all fields, does not skip any documents, does not limit result size, uses default batch size, does not sort, does not hint, and does not snapshot.
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query sel col = Query [] (Select sel col) [] 0 0 [] False 0 []
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batchSizeRemainingLimit :: BatchSize -> Limit -> (Int32, Limit)
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-- ^ Given batchSize and limit return P.qBatchSize and remaining limit
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batchSizeRemainingLimit batchSize limit = if limit == 0
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then (fromIntegral batchSize, 0) -- no limit
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else if 0 < batchSize && batchSize < limit
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then (fromIntegral batchSize, limit - batchSize)
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else (- fromIntegral limit, 1)
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protoQuery :: Database -> Query -> (P.Query, Limit)
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protoQuery = protoQuery' False
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protoQuery' :: Bool -> Database -> Query -> (P.Query, Limit)
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-- ^ Translate Query to Protocol.Query. If first arg is true then add special $explain attribute.
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protoQuery' isExplain db Query{..} = (P.Query{..}, remainingLimit) where
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qOptions = options
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qFullCollection = db <.> coll selection
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qSkip = fromIntegral skip
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(qBatchSize, remainingLimit) = batchSizeRemainingLimit batchSize limit
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qProjector = project
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mOrder = if null sort then Nothing else Just ("$orderby" =: sort)
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mSnapshot = if snapshot then Just ("$snapshot" =: True) else Nothing
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mHint = if null hint then Nothing else Just ("$hint" =: hint)
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mExplain = if isExplain then Just ("$explain" =: True) else Nothing
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special = catMaybes [mOrder, mSnapshot, mHint, mExplain]
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qSelector = if null special then s else ("$query" =: s) : special where s = selector selection
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find :: (Conn m) => Query -> Db m Cursor
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-- ^ Fetch documents satisfying query
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find q@Query{selection, batchSize} = ReaderT $ \db -> do
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let (q', remainingLimit) = protoQuery db q
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cs <- fromReply remainingLimit =<< runOp (P.query q')
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newCursor db (coll selection) batchSize cs
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findOne :: (Conn m) => Query -> Db m (Maybe Document)
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-- ^ Fetch first document satisfying query or Nothing if none satisfy it
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findOne q = ReaderT $ \db -> do
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let (q', x) = protoQuery db q {limit = 1}
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CS _ _ docs <- fromReply x =<< runOp (P.query q')
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return (listToMaybe docs)
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explain :: (Conn m) => Query -> Db m Document
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-- ^ Return performance stats of query execution
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explain q = ReaderT $ \db -> do -- same as findOne but with explain set to true
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let (q', x) = protoQuery' True db q {limit = 1}
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CS _ _ docs <- fromReply x =<< runOp (P.query q')
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when (null docs) . fail $ "no explain: " ++ show q'
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return (head docs)
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count :: (Conn m) => Query -> Db m Int
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-- ^ Fetch number of documents satisfying query (including effect of skip and/or limit if present)
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count Query{selection = Select sel col, skip, limit} = at "n" <$> runCommand
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(["count" =: col, "query" =: sel, "skip" =: (fromIntegral skip :: Int32)]
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++ ("limit" =? if limit == 0 then Nothing else Just (fromIntegral limit :: Int32)))
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distinct :: (Conn m) => Label -> Selection -> Db m [Value]
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-- ^ Fetch distinct values of field in selected documents
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distinct k (Select sel col) = at "values" <$> runCommand ["distinct" =: col, "key" =: k, "query" =: sel]
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-- *** Cursor
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data Cursor = Cursor FullCollection BatchSize (MVar CursorState)
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-- ^ Iterator over results of a query. Use 'next' to iterate or 'rest' to get all results. A cursor is closed when it is explicitly closed, all results have been read from it, garbage collected, or not used for over 10 minutes (unless 'NoCursorTimeout' option was specified in 'Query'). Reading from a closed cursor raises a ServerFailure exception. Note, a cursor is not closed when the connection is closed, so you can open another connection to the same server and continue using the cursor.
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data CursorState = CS Limit CursorId [Document]
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-- ^ CursorId = 0 means cursor is finished. Documents is remaining documents to serve in current batch. Limit is remaining limit for next fetch.
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fromReply :: (Monad m) => Limit -> Reply -> m CursorState
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fromReply limit Reply{..} = if rResponseFlag == 0
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then return (CS limit rCursorId rDocuments)
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else fail $ "Query failure " ++ show rResponseFlag ++ " " ++ show rDocuments
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newCursor :: (Conn m) => Database -> Collection -> BatchSize -> CursorState -> m Cursor
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-- ^ Cursor is closed when garbage collected, explicitly closed, or CIO action ends (connection closed)
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newCursor db col batch cs = do
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conn <- getConnection
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var <- liftIO (newMVar cs)
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liftIO . addMVarFinalizer var $ do
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-- kill cursor on server when garbage collected on client, if connection not already closed
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CS _ cid _ <- readMVar var
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unless (cid == 0) $ do
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done <- isClosed conn
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unless done $ runTask (runOp $ P.killCursors [cid]) conn >> return ()
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return (Cursor (db <.> col) batch var)
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next :: (Conn m) => Cursor -> m (Maybe Document)
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-- ^ Return next document in query result, or Nothing if finished.
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-- This can run inside or outside a 'Db' monad (a 'useDb' block), since @Conn m => ReaderT r m@ is an instance of the 'Conn' type class, along with @Task@ and @Op@
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next (Cursor fcol batch var) = runOp . exposeIO $ \h -> modifyMVar var $ \cs ->
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-- Get lock on connection (runOp) first then get lock on cursor, otherwise you could get in deadlock if already inside an Op (connection locked), but another Task gets lock on cursor first and then tries runOp (deadlock).
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either ((cs,) . Left) (fmap Right) <$> hideIO (nextState cs) h
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where
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nextState :: CursorState -> Op (CursorState, Maybe Document)
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nextState (CS limit cid docs) = case docs of
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doc : docs' -> return (CS limit cid docs', Just doc)
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[] -> if cid == 0
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then return (CS 0 0 [], Nothing) -- finished
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else let -- fetch next batch from server
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(batchSize, remLimit) = batchSizeRemainingLimit batch limit
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getNextBatch = fromReply remLimit =<< P.getMore (GetMore fcol batchSize cid)
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in nextState =<< getNextBatch
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nextN :: (Conn m) => Int -> Cursor -> m [Document]
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-- ^ Return next N documents or less if end is reached
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nextN n c = catMaybes <$> replicateM n (next c)
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rest :: (Conn m) => Cursor -> m [Document]
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-- ^ Return remaining documents in query result
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rest c = loop (next c)
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closeCursor :: (Conn m) => Cursor -> m ()
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-- ^ Close cursor without reading rest of results. Cursor closes automatically when you read all results.
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closeCursor (Cursor _ _ var) = runOp . exposeIO $ \h ->
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modifyMVar var $ \cs@(CS _ cid _) -> if cid == 0
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then return (CS 0 0 [], Right ())
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else either ((cs,) . Left) ((CS 0 0 [],) . Right) <$> hideIO (P.killCursors [cid]) h
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-- ** Group
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data Group = Group {
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gColl :: Collection,
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gKey :: GroupKey, -- ^ Fields to group by
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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.
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gInitial :: Document, -- ^ Initial aggregation value supplied to reduce
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gCond :: Selector, -- ^ Condition that must be true for a row to be considered. [] means always true.
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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).
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} deriving (Show, Eq)
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data GroupKey = Key [Label] | KeyF Javascript deriving (Show, Eq)
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-- ^ 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).
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groupDocument :: Group -> Document
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-- ^ Translate Group data into expected document form
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groupDocument Group{..} =
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("finalize" =? gFinalize) ++ [
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"ns" =: gColl,
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case gKey of Key k -> "key" =: map (=: True) k; KeyF f -> "$keyf" =: f,
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"$reduce" =: gReduce,
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"initial" =: gInitial,
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"cond" =: gCond ]
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group :: (Conn m) => Group -> Db m [Document]
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-- ^ Execute group query and return resulting aggregate value for each distinct key
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group g = at "retval" <$> runCommand ["group" =: groupDocument g]
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-- ** MapReduce
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-- | 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.
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data MapReduce = MapReduce {
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rColl :: Collection,
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rMap :: MapFun,
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rReduce :: ReduceFun,
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rSelect :: Selector, -- ^ Default is []
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rSort :: Order, -- ^ Default is [] meaning no sort
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rLimit :: Limit, -- ^ Default is 0 meaning no limit
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rOut :: Maybe Collection, -- ^ Output to given permanent collection, otherwise output to a new temporary collection whose name is returned.
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rKeepTemp :: Bool, -- ^ If True, the temporary output collection is made permanent. If False, the temporary output collection persists for the life of the current connection only, however, other connections may read from it while the original one is still alive. Note, reading from a temporary collection after its original connection dies returns an empty result (not an error). The default for this attribute is False, unless 'rOut' is specified, then the collection permanent.
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rFinalize :: Maybe FinalizeFun, -- ^ Function to apply to all the results when finished. Default is Nothing.
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rScope :: Document, -- ^ Variables (environment) that can be accessed from map/reduce/finalize. Default is [].
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rVerbose :: Bool -- ^ Provide statistics on job execution time. Default is False.
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} deriving (Show, Eq)
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type MapFun = Javascript
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-- ^ @() -> 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.
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type ReduceFun = Javascript
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-- ^ @(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.
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type FinalizeFun = Javascript
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-- ^ @(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.
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mrDocument :: MapReduce -> Document
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-- ^ Translate MapReduce data into expected document form
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mrDocument MapReduce{..} =
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("mapreduce" =: rColl) :
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("out" =? rOut) ++
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("finalize" =? rFinalize) ++ [
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"map" =: rMap,
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"reduce" =: rReduce,
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"query" =: rSelect,
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"sort" =: rSort,
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"limit" =: (fromIntegral rLimit :: Int),
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"keeptemp" =: rKeepTemp,
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"scope" =: rScope,
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"verbose" =: rVerbose ]
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mapReduce :: Collection -> MapFun -> ReduceFun -> MapReduce
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-- ^ MapReduce on collection with given map and reduce functions. Remaining attributes are set to their defaults, which are stated in their comments.
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mapReduce col map' red = MapReduce col map' red [] [] 0 Nothing False Nothing [] False
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runMR :: (Conn m) => MapReduce -> Db m Cursor
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-- ^ Run MapReduce and return cursor of results. Error if map/reduce fails (because of bad Javascript)
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-- TODO: Delete temp result collection when cursor closes. Until then, it will be deleted by the server when connection closes.
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runMR mr = find . query [] =<< (at "result" <$> runMR' mr)
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runMR' :: (Conn m) => MapReduce -> Db m Document
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-- ^ Run MapReduce and return a result document containing a "result" field holding the output Collection and additional statistic fields. Error if the map/reduce failed (because of bad Javascript).
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runMR' mr = do
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doc <- runCommand (mrDocument mr)
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return $ if true1 "ok" doc then doc else error $ at "errmsg" doc ++ " in:\n" ++ show mr
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-- * Command
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type Command = Document
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-- ^ A command is a special query or action against the database. See <http://www.mongodb.org/display/DOCS/Commands> for details.
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runCommand :: (Conn m) => Command -> Db m Document
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-- ^ Run command against the database and return its result
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runCommand c = maybe err return =<< findOne (query c "$cmd") where
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err = fail $ "Nothing returned for command: " ++ show c
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runCommand1 :: (Conn m) => UString -> Db m Document
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-- ^ @runCommand1 "foo" = runCommand ["foo" =: 1]@
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runCommand1 c = runCommand [c =: (1 :: Int)]
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eval :: (Conn m) => Javascript -> Db m Document
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-- ^ Run code on server
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eval code = at "retval" <$> runCommand ["$eval" =: code]
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type ErrorCode = Int
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-- ^ Error code from getLastError
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getLastError :: Db Op (Maybe (ErrorCode, String))
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-- ^ Fetch what the last error was, Nothing means no error. Especially useful after a write since it is asynchronous (ie. nothing is returned after a write, so we don't know if it succeeded or not). To ensure no interleaving db operation executes between the write we want to check and getLastError, this can only be executed inside a 'runDbOp' which gets exclusive access to the connection.
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getLastError = do
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r <- runCommand1 "getlasterror"
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return $ (at "code" r,) <$> lookup "err" r
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resetLastError :: Db Op ()
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-- ^ Clear last error
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resetLastError = runCommand1 "reseterror" >> return ()
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{- Authors: Tony Hannan <tony@10gen.com>
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Copyright 2010 10gen Inc.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. -}
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