blob: f3c7ce5811a5fedc69c7e40f7b9b66cc9f873122 [file] [log] [blame]
{-| Implementation of the Ganeti Query2 functionality.
-}
{-
Copyright (C) 2012, 2013 Google Inc.
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
02110-1301, USA.
-}
{-
TODO: problems with the current model:
1. There's nothing preventing a result such as ResultEntry RSNormal
Nothing, or ResultEntry RSNoData (Just ...); ideally, we would
separate the the RSNormal and other types; we would need a new data
type for this, though, with JSON encoding/decoding
2. We don't have a way to 'bind' a FieldDefinition's field type
(e.q. QFTBool) with the actual value that is returned from a
FieldGetter. This means that the various getter functions can return
divergent types for the same field when evaluated against multiple
items. This is bad; it only works today because we 'hide' everything
behind JSValue, but is not nice at all. We should probably remove the
separation between FieldDefinition and the FieldGetter, and introduce
a new abstract data type, similar to QFT*, that contains the values
too.
-}
module Ganeti.Query.Query
( query
, queryFields
, queryCompat
, getRequestedNames
, nameField
, uuidField
) where
import Control.DeepSeq
import Control.Monad (filterM, foldM)
import Control.Monad.Trans (lift)
import Data.List (intercalate)
import Data.Maybe (fromMaybe)
import qualified Data.Map as Map
import qualified Text.JSON as J
import Ganeti.BasicTypes
import Ganeti.Config
import Ganeti.Errors
import Ganeti.JQueue
import Ganeti.JSON
import Ganeti.Objects
import Ganeti.Query.Common
import qualified Ganeti.Query.Export as Export
import Ganeti.Query.Filter
import qualified Ganeti.Query.Job as Query.Job
import qualified Ganeti.Query.Group as Group
import Ganeti.Query.Language
import qualified Ganeti.Query.Network as Network
import qualified Ganeti.Query.Node as Node
import Ganeti.Query.Types
import Ganeti.Path
import Ganeti.Types
import Ganeti.Utils
-- * Helper functions
-- | Builds an unknown field definition.
mkUnknownFDef :: String -> FieldData a b
mkUnknownFDef name =
( FieldDefinition name name QFTUnknown ("Unknown field '" ++ name ++ "'")
, FieldUnknown
, QffNormal )
-- | Runs a field getter on the existing contexts.
execGetter :: ConfigData -> b -> a -> FieldGetter a b -> ResultEntry
execGetter _ _ item (FieldSimple getter) = getter item
execGetter cfg _ item (FieldConfig getter) = getter cfg item
execGetter _ rt item (FieldRuntime getter) = getter rt item
execGetter _ _ _ FieldUnknown = rsUnknown
-- * Main query execution
-- | Helper to build the list of requested fields. This transforms the
-- list of string fields to a list of field defs and getters, with
-- some of them possibly being unknown fields.
getSelectedFields :: FieldMap a b -- ^ Defined fields
-> [String] -- ^ Requested fields
-> FieldList a b -- ^ Selected fields
getSelectedFields defined =
map (\name -> fromMaybe (mkUnknownFDef name) $ name `Map.lookup` defined)
-- | Check whether list of queried fields contains live fields.
needsLiveData :: [FieldGetter a b] -> Bool
needsLiveData = any isRuntimeField
-- | Checks whether we have requested exactly some names. This is a
-- simple wrapper over 'requestedNames' and 'nameField'.
needsNames :: Query -> Maybe [FilterValue]
needsNames (Query kind _ qfilter) = requestedNames (nameField kind) qfilter
-- | Computes the name field for different query types.
nameField :: ItemType -> FilterField
nameField (ItemTypeLuxi QRJob) = "id"
nameField (ItemTypeOpCode QRExport) = "node"
nameField _ = "name"
-- | Computes the uuid field, or the best possible substitute, for different
-- query types.
uuidField :: ItemType -> FilterField
uuidField (ItemTypeLuxi QRJob) = nameField (ItemTypeLuxi QRJob)
uuidField (ItemTypeOpCode QRExport) = nameField (ItemTypeOpCode QRExport)
uuidField _ = "uuid"
-- | Extracts all quoted strings from a list, ignoring the
-- 'NumericValue' entries.
getAllQuotedStrings :: [FilterValue] -> [String]
getAllQuotedStrings =
concatMap extractor
where extractor (NumericValue _) = []
extractor (QuotedString val) = [val]
-- | Checks that we have either requested a valid set of names, or we
-- have a more complex filter.
getRequestedNames :: Query -> [String]
getRequestedNames qry =
case needsNames qry of
Just names -> getAllQuotedStrings names
Nothing -> []
-- | Compute the requested job IDs. This is custom since we need to
-- handle both strings and integers.
getRequestedJobIDs :: Filter FilterField -> Result [JobId]
getRequestedJobIDs qfilter =
case requestedNames (nameField (ItemTypeLuxi QRJob)) qfilter of
Nothing -> Ok []
Just [] -> Ok []
Just vals ->
mapM (\e -> case e of
QuotedString s -> makeJobIdS s
NumericValue i -> makeJobId $ fromIntegral i
) vals
-- | Generic query implementation for resources that are backed by
-- some configuration objects.
genericQuery :: FieldMap a b -- ^ Field map
-> (Bool -> ConfigData -> [a] -> IO [(a, b)]) -- ^ Collector
-> (a -> String) -- ^ Object to name function
-> (ConfigData -> Container a) -- ^ Get all objects from config
-> (ConfigData -> String -> ErrorResult a) -- ^ Lookup object
-> ConfigData -- ^ The config to run the query against
-> Bool -- ^ Whether the query should be run live
-> [String] -- ^ List of requested fields
-> Filter FilterField -- ^ Filter field
-> [String] -- ^ List of requested names
-> IO (ErrorResult QueryResult)
genericQuery fieldsMap collector nameFn configFn getFn cfg
live fields qfilter wanted =
runResultT $ do
cfilter <- resultT $ compileFilter fieldsMap qfilter
let selected = getSelectedFields fieldsMap fields
(fdefs, fgetters, _) = unzip3 selected
live' = live && needsLiveData fgetters
objects <- resultT $ case wanted of
[] -> Ok . niceSortKey nameFn .
Map.elems . fromContainer $ configFn cfg
_ -> mapM (getFn cfg) wanted
-- runs first pass of the filter, without a runtime context; this
-- will limit the objects that we'll contact for exports
fobjects <- resultT $ filterM (\n -> evaluateFilter cfg Nothing n cfilter)
objects
-- here run the runtime data gathering...
runtimes <- lift $ collector live' cfg fobjects
-- ... then filter again the results, based on gathered runtime data
let fdata = map (\(obj, runtime) ->
map (execGetter cfg runtime obj) fgetters)
runtimes
return QueryResult { qresFields = fdefs, qresData = fdata }
-- | Main query execution function.
query :: ConfigData -- ^ The current configuration
-> Bool -- ^ Whether to collect live data
-> Query -- ^ The query (item, fields, filter)
-> IO (ErrorResult QueryResult) -- ^ Result
query cfg live (Query (ItemTypeLuxi QRJob) fields qfilter) =
queryJobs cfg live fields qfilter
query cfg live qry = queryInner cfg live qry $ getRequestedNames qry
-- | Inner query execution function.
queryInner :: ConfigData -- ^ The current configuration
-> Bool -- ^ Whether to collect live data
-> Query -- ^ The query (item, fields, filter)
-> [String] -- ^ Requested names
-> IO (ErrorResult QueryResult) -- ^ Result
queryInner cfg live (Query (ItemTypeOpCode QRNode) fields qfilter) wanted =
genericQuery Node.fieldsMap Node.collectLiveData nodeName configNodes getNode
cfg live fields qfilter wanted
queryInner cfg live (Query (ItemTypeOpCode QRGroup) fields qfilter) wanted =
genericQuery Group.fieldsMap Group.collectLiveData groupName configNodegroups
getGroup cfg live fields qfilter wanted
queryInner cfg live (Query (ItemTypeOpCode QRNetwork) fields qfilter) wanted =
genericQuery Network.fieldsMap Network.collectLiveData
(fromNonEmpty . networkName)
configNetworks getNetwork cfg live fields qfilter wanted
queryInner cfg live (Query (ItemTypeOpCode QRExport) fields qfilter) wanted =
genericQuery Export.fieldsMap Export.collectLiveData nodeName configNodes
getNode cfg live fields qfilter wanted
queryInner _ _ (Query qkind _ _) _ =
return . Bad . GenericError $ "Query '" ++ show qkind ++ "' not supported"
-- | Query jobs specific query function, needed as we need to accept
-- both 'QuotedString' and 'NumericValue' as wanted names.
queryJobs :: ConfigData -- ^ The current configuration
-> Bool -- ^ Whether to collect live data
-> [FilterField] -- ^ Item
-> Filter FilterField -- ^ Filter
-> IO (ErrorResult QueryResult) -- ^ Result
queryJobs cfg live fields qfilter =
runResultT $ do
rootdir <- lift queueDir
let wanted_names = getRequestedJobIDs qfilter
want_arch = Query.Job.wantArchived fields
rjids <- case wanted_names of
Bad msg -> resultT . Bad $ GenericError msg
Ok [] -> if live
-- we can check the filesystem for actual jobs
then do
maybeJobIDs <-
lift (determineJobDirectories rootdir want_arch
>>= getJobIDs)
case maybeJobIDs of
Left e -> (resultT . Bad) . BlockDeviceError $
"Unable to fetch the job list: " ++ show e
Right jobIDs -> resultT . Ok $ sortJobIDs jobIDs
-- else we shouldn't look at the filesystem...
else return []
Ok v -> resultT $ Ok v
cfilter <- resultT $ compileFilter Query.Job.fieldsMap qfilter
let selected = getSelectedFields Query.Job.fieldsMap fields
(fdefs, fgetters, _) = unzip3 selected
live' = live && needsLiveData fgetters
disabled_data = Bad "live data disabled"
-- runs first pass of the filter, without a runtime context; this
-- will limit the jobs that we'll load from disk
jids <- resultT $
filterM (\jid -> evaluateFilter cfg Nothing jid cfilter) rjids
-- here we run the runtime data gathering, filtering and evaluation,
-- all in the same step, so that we don't keep jobs in memory longer
-- than we need; we can't be fully lazy due to the multiple monad
-- wrapping across different steps
qdir <- lift queueDir
fdata <- foldM
-- big lambda, but we use many variables from outside it...
(\lst jid -> do
job <- lift $ if live'
then loadJobFromDisk qdir True jid
else return disabled_data
pass <- resultT $ evaluateFilter cfg (Just job) jid cfilter
let nlst = if pass
then let row = map (execGetter cfg job jid) fgetters
in rnf row `seq` row:lst
else lst
-- evaluate nlst (to WHNF), otherwise we're too lazy
return $! nlst
) [] jids
return QueryResult { qresFields = fdefs, qresData = reverse fdata }
-- | Helper for 'queryFields'.
fieldsExtractor :: FieldMap a b -> [FilterField] -> QueryFieldsResult
fieldsExtractor fieldsMap fields =
let selected = if null fields
then map snd $ Map.toAscList fieldsMap
else getSelectedFields fieldsMap fields
in QueryFieldsResult (map (\(defs, _, _) -> defs) selected)
-- | Query fields call.
queryFields :: QueryFields -> ErrorResult QueryFieldsResult
queryFields (QueryFields (ItemTypeOpCode QRNode) fields) =
Ok $ fieldsExtractor Node.fieldsMap fields
queryFields (QueryFields (ItemTypeOpCode QRGroup) fields) =
Ok $ fieldsExtractor Group.fieldsMap fields
queryFields (QueryFields (ItemTypeOpCode QRNetwork) fields) =
Ok $ fieldsExtractor Network.fieldsMap fields
queryFields (QueryFields (ItemTypeLuxi QRJob) fields) =
Ok $ fieldsExtractor Query.Job.fieldsMap fields
queryFields (QueryFields (ItemTypeOpCode QRExport) fields) =
Ok $ fieldsExtractor Export.fieldsMap fields
queryFields (QueryFields qkind _) =
Bad . GenericError $ "QueryFields '" ++ show qkind ++ "' not supported"
-- | Classic query converter. It gets a standard query result on input
-- and computes the classic style results.
queryCompat :: QueryResult -> ErrorResult [[J.JSValue]]
queryCompat (QueryResult fields qrdata) =
case map fdefName $ filter ((== QFTUnknown) . fdefKind) fields of
[] -> Ok $ map (map (maybe J.JSNull J.showJSON . rentryValue)) qrdata
unknown -> Bad $ OpPrereqError ("Unknown output fields selected: " ++
intercalate ", " unknown) ECodeInval