graphql-engine/server/src-lib/Hasura/Backends/MSSQL/Instances/Schema.hs

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{-# OPTIONS_GHC -fno-warn-orphans #-}
module Hasura.Backends.MSSQL.Instances.Schema () where
import Hasura.Prelude
import qualified Data.HashMap.Strict as Map
import qualified Data.List.NonEmpty as NE
import qualified Database.ODBC.SQLServer as ODBC
import qualified Language.GraphQL.Draft.Syntax as G
import Data.Has
import Data.Text.Encoding (encodeUtf8)
import Data.Text.Extended
import qualified Hasura.Backends.MSSQL.Types as MSSQL
import qualified Hasura.GraphQL.Parser as P
import qualified Hasura.GraphQL.Schema.Build as GSB
import qualified Hasura.RQL.IR.Select as IR
import qualified Hasura.RQL.IR.Update as IR
import Hasura.Base.Error
import Hasura.GraphQL.Parser hiding (EnumValueInfo, field)
import Hasura.GraphQL.Parser.Internal.Parser hiding (field)
import Hasura.GraphQL.Parser.Internal.TypeChecking
import Hasura.GraphQL.Schema.Backend
import Hasura.GraphQL.Schema.BoolExp
import Hasura.GraphQL.Schema.Common
import Hasura.GraphQL.Schema.Select
server: support remote relationships on SQL Server and BigQuery (#1497) Remote relationships are now supported on SQL Server and BigQuery. The major change though is the re-architecture of remote join execution logic. Prior to this PR, each backend is responsible for processing the remote relationships that are part of their AST. This is not ideal as there is nothing specific about a remote join's execution that ties it to a backend. The only backend specific part is whether or not the specification of the remote relationship is valid (i.e, we'll need to validate whether the scalars are compatible). The approach now changes to this: 1. Before delegating the AST to the backend, we traverse the AST, collect all the remote joins while modifying the AST to add necessary join fields where needed. 1. Once the remote joins are collected from the AST, the database call is made to fetch the response. The necessary data for the remote join(s) is collected from the database's response and one or more remote schema calls are constructed as necessary. 1. The remote schema calls are then executed and the data from the database and from the remote schemas is joined to produce the final response. ### Known issues 1. Ideally the traversal of the IR to collect remote joins should return an AST which does not include remote join fields. This operation can be type safe but isn't taken up as part of the PR. 1. There is a lot of code duplication between `Transport/HTTP.hs` and `Transport/Websocket.hs` which needs to be fixed ASAP. This too hasn't been taken up by this PR. 1. The type which represents the execution plan is only modified to handle our current remote joins and as such it will have to be changed to accommodate general remote joins. 1. Use of lenses would have reduced the boilerplate code to collect remote joins from the base AST. 1. The current remote join logic assumes that the join columns of a remote relationship appear with their names in the database response. This however is incorrect as they could be aliased. This can be taken up by anyone, I've left a comment in the code. ### Notes to the reviewers I think it is best reviewed commit by commit. 1. The first one is very straight forward. 1. The second one refactors the remote join execution logic but other than moving things around, it doesn't change the user facing functionality. This moves Postgres specific parts to `Backends/Postgres` module from `Execute`. Some IR related code to `Hasura.RQL.IR` module. Simplifies various type class function signatures as a backend doesn't have to handle remote joins anymore 1. The third one fixes partial case matches that for some weird reason weren't shown as warnings before this refactor 1. The fourth one generalizes the validation logic of remote relationships and implements `scalarTypeGraphQLName` function on SQL Server and BigQuery which is used by the validation logic. This enables remote relationships on BigQuery and SQL Server. https://github.com/hasura/graphql-engine-mono/pull/1497 GitOrigin-RevId: 77dd8eed326602b16e9a8496f52f46d22b795598
2021-06-11 06:26:50 +03:00
import Hasura.RQL.IR
import Hasura.RQL.Types
----------------------------------------------------------------
-- BackendSchema instance
instance BackendSchema 'MSSQL where
-- top level parsers
buildTableQueryFields = GSB.buildTableQueryFields
buildTableRelayQueryFields = msBuildTableRelayQueryFields
buildTableInsertMutationFields = msBuildTableInsertMutationFields
buildTableUpdateMutationFields = msBuildTableUpdateMutationFields
buildTableDeleteMutationFields = msBuildTableDeleteMutationFields
buildFunctionQueryFields = msBuildFunctionQueryFields
buildFunctionRelayQueryFields = msBuildFunctionRelayQueryFields
buildFunctionMutationFields = msBuildFunctionMutationFields
-- backend extensions
relayExtension = Nothing
nodesAggExtension = Just ()
-- table arguments
tableArguments = msTableArgs
-- individual components
columnParser = msColumnParser
jsonPathArg = msJsonPathArg
orderByOperators = msOrderByOperators
comparisonExps = msComparisonExps
updateOperators = msUpdateOperators
mkCountType = msMkCountType
aggregateOrderByCountType = MSSQL.IntegerType
computedField = msComputedField
node = msNode
-- SQL literals
columnDefaultValue = msColumnDefaultValue
----------------------------------------------------------------
-- Top level parsers
msBuildTableRelayQueryFields
:: MonadBuildSchema 'MSSQL r m n
=> SourceName
-> SourceConfig 'MSSQL
-> TableName 'MSSQL
-> TableInfo 'MSSQL
-> G.Name
-> NESeq (ColumnInfo 'MSSQL)
-> SelPermInfo 'MSSQL
-> m [FieldParser n (QueryRootField UnpreparedValue)]
msBuildTableRelayQueryFields _sourceName _sourceInfo _tableName _tableInfo _gqlName _pkeyColumns _selPerms =
pure []
msBuildTableInsertMutationFields
:: MonadBuildSchema 'MSSQL r m n
=> SourceName
-> SourceConfig 'MSSQL
-> TableName 'MSSQL
-> TableInfo 'MSSQL
-> G.Name
-> InsPermInfo 'MSSQL
-> Maybe (SelPermInfo 'MSSQL)
-> Maybe (UpdPermInfo 'MSSQL)
-> m [FieldParser n (MutationRootField UnpreparedValue)]
msBuildTableInsertMutationFields _sourceName _sourceInfo _tableName _tableInfo _gqlName _insPerms _selPerms _updPerms =
pure []
msBuildTableUpdateMutationFields
:: MonadBuildSchema 'MSSQL r m n
=> SourceName
-> SourceConfig 'MSSQL
-> TableName 'MSSQL
-> TableInfo 'MSSQL
-> G.Name
-> UpdPermInfo 'MSSQL
-> Maybe (SelPermInfo 'MSSQL)
-> m [FieldParser n (MutationRootField UnpreparedValue)]
msBuildTableUpdateMutationFields _sourceName _sourceInfo _tableName _tableInfo _gqlName _updPerns _selPerms =
pure []
msBuildTableDeleteMutationFields
:: MonadBuildSchema 'MSSQL r m n
=> SourceName
-> SourceConfig 'MSSQL
-> TableName 'MSSQL
-> TableInfo 'MSSQL
-> G.Name
-> DelPermInfo 'MSSQL
-> Maybe (SelPermInfo 'MSSQL)
-> m [FieldParser n (MutationRootField UnpreparedValue)]
msBuildTableDeleteMutationFields _sourceName _sourceInfo _tableName _tableInfo _gqlName _delPerns _selPerms =
pure []
msBuildFunctionQueryFields
:: MonadBuildSchema 'MSSQL r m n
=> SourceName
-> SourceConfig 'MSSQL
-> FunctionName 'MSSQL
-> FunctionInfo 'MSSQL
-> TableName 'MSSQL
-> SelPermInfo 'MSSQL
-> m [FieldParser n (QueryRootField UnpreparedValue)]
msBuildFunctionQueryFields _ _ _ _ _ _ =
pure []
msBuildFunctionRelayQueryFields
:: MonadBuildSchema 'MSSQL r m n
=> SourceName
-> SourceConfig 'MSSQL
-> FunctionName 'MSSQL
-> FunctionInfo 'MSSQL
-> TableName 'MSSQL
-> NESeq (ColumnInfo 'MSSQL)
-> SelPermInfo 'MSSQL
-> m [FieldParser n (QueryRootField UnpreparedValue)]
msBuildFunctionRelayQueryFields _sourceName _sourceInfo _functionName _functionInfo _tableName _pkeyColumns _selPerms =
pure []
msBuildFunctionMutationFields
:: MonadBuildSchema 'MSSQL r m n
=> SourceName
-> SourceConfig 'MSSQL
-> FunctionName 'MSSQL
-> FunctionInfo 'MSSQL
-> TableName 'MSSQL
-> SelPermInfo 'MSSQL
-> m [FieldParser n (MutationRootField UnpreparedValue)]
msBuildFunctionMutationFields _ _ _ _ _ _ =
pure []
----------------------------------------------------------------
-- Table arguments
msTableArgs
:: forall r m n
. MonadBuildSchema 'MSSQL r m n
=> SourceName
-> TableInfo 'MSSQL
-> SelPermInfo 'MSSQL
-> m (InputFieldsParser n (IR.SelectArgsG 'MSSQL (UnpreparedValue 'MSSQL)))
msTableArgs sourceName tableInfo selectPermissions = do
whereParser <- tableWhereArg sourceName tableInfo selectPermissions
orderByParser <- tableOrderByArg sourceName tableInfo selectPermissions
pure do
whereArg <- whereParser
orderByArg <- orderByParser
limitArg <- tableLimitArg
offsetArg <- tableOffsetArg
pure $ IR.SelectArgs
{ IR._saWhere = whereArg
, IR._saOrderBy = orderByArg
, IR._saLimit = limitArg
, IR._saOffset = offsetArg
-- not supported on MSSQL for now
, IR._saDistinct = Nothing
}
----------------------------------------------------------------
-- Individual components
msColumnParser
:: (MonadSchema n m, MonadError QErr m)
=> ColumnType 'MSSQL
-> G.Nullability
-> m (Parser 'Both n (Opaque (ColumnValue 'MSSQL)))
msColumnParser columnType (G.Nullability isNullable) =
opaque . fmap (ColumnValue columnType) <$> case columnType of
server: support remote relationships on SQL Server and BigQuery (#1497) Remote relationships are now supported on SQL Server and BigQuery. The major change though is the re-architecture of remote join execution logic. Prior to this PR, each backend is responsible for processing the remote relationships that are part of their AST. This is not ideal as there is nothing specific about a remote join's execution that ties it to a backend. The only backend specific part is whether or not the specification of the remote relationship is valid (i.e, we'll need to validate whether the scalars are compatible). The approach now changes to this: 1. Before delegating the AST to the backend, we traverse the AST, collect all the remote joins while modifying the AST to add necessary join fields where needed. 1. Once the remote joins are collected from the AST, the database call is made to fetch the response. The necessary data for the remote join(s) is collected from the database's response and one or more remote schema calls are constructed as necessary. 1. The remote schema calls are then executed and the data from the database and from the remote schemas is joined to produce the final response. ### Known issues 1. Ideally the traversal of the IR to collect remote joins should return an AST which does not include remote join fields. This operation can be type safe but isn't taken up as part of the PR. 1. There is a lot of code duplication between `Transport/HTTP.hs` and `Transport/Websocket.hs` which needs to be fixed ASAP. This too hasn't been taken up by this PR. 1. The type which represents the execution plan is only modified to handle our current remote joins and as such it will have to be changed to accommodate general remote joins. 1. Use of lenses would have reduced the boilerplate code to collect remote joins from the base AST. 1. The current remote join logic assumes that the join columns of a remote relationship appear with their names in the database response. This however is incorrect as they could be aliased. This can be taken up by anyone, I've left a comment in the code. ### Notes to the reviewers I think it is best reviewed commit by commit. 1. The first one is very straight forward. 1. The second one refactors the remote join execution logic but other than moving things around, it doesn't change the user facing functionality. This moves Postgres specific parts to `Backends/Postgres` module from `Execute`. Some IR related code to `Hasura.RQL.IR` module. Simplifies various type class function signatures as a backend doesn't have to handle remote joins anymore 1. The third one fixes partial case matches that for some weird reason weren't shown as warnings before this refactor 1. The fourth one generalizes the validation logic of remote relationships and implements `scalarTypeGraphQLName` function on SQL Server and BigQuery which is used by the validation logic. This enables remote relationships on BigQuery and SQL Server. https://github.com/hasura/graphql-engine-mono/pull/1497 GitOrigin-RevId: 77dd8eed326602b16e9a8496f52f46d22b795598
2021-06-11 06:26:50 +03:00
-- TODO: the mapping here is not consistent with mkMSSQLScalarTypeName. For
-- example, exposing all the float types as a GraphQL Float type is
-- incorrect, similarly exposing all the integer types as a GraphQL Int
ColumnScalar scalarType -> possiblyNullable scalarType <$> case scalarType of
-- bytestring
MSSQL.CharType -> pure $ ODBC.ByteStringValue . encodeUtf8 <$> P.string
MSSQL.VarcharType -> pure $ ODBC.ByteStringValue . encodeUtf8 <$> P.string
-- text
MSSQL.WcharType -> pure $ ODBC.TextValue <$> P.string
MSSQL.WvarcharType -> pure $ ODBC.TextValue <$> P.string
MSSQL.WtextType -> pure $ ODBC.TextValue <$> P.string
MSSQL.TextType -> pure $ ODBC.TextValue <$> P.string
-- integer
MSSQL.IntegerType -> pure $ ODBC.IntValue . fromIntegral <$> P.int
MSSQL.SmallintType -> pure $ ODBC.IntValue . fromIntegral <$> P.int
MSSQL.BigintType -> pure $ ODBC.IntValue . fromIntegral <$> P.int
MSSQL.TinyintType -> pure $ ODBC.IntValue . fromIntegral <$> P.int
-- float
MSSQL.NumericType -> pure $ ODBC.DoubleValue <$> P.float
MSSQL.DecimalType -> pure $ ODBC.DoubleValue <$> P.float
MSSQL.FloatType -> pure $ ODBC.DoubleValue <$> P.float
MSSQL.RealType -> pure $ ODBC.DoubleValue <$> P.float
-- boolean
MSSQL.BitType -> pure $ ODBC.BoolValue <$> P.boolean
_ -> do
server: support remote relationships on SQL Server and BigQuery (#1497) Remote relationships are now supported on SQL Server and BigQuery. The major change though is the re-architecture of remote join execution logic. Prior to this PR, each backend is responsible for processing the remote relationships that are part of their AST. This is not ideal as there is nothing specific about a remote join's execution that ties it to a backend. The only backend specific part is whether or not the specification of the remote relationship is valid (i.e, we'll need to validate whether the scalars are compatible). The approach now changes to this: 1. Before delegating the AST to the backend, we traverse the AST, collect all the remote joins while modifying the AST to add necessary join fields where needed. 1. Once the remote joins are collected from the AST, the database call is made to fetch the response. The necessary data for the remote join(s) is collected from the database's response and one or more remote schema calls are constructed as necessary. 1. The remote schema calls are then executed and the data from the database and from the remote schemas is joined to produce the final response. ### Known issues 1. Ideally the traversal of the IR to collect remote joins should return an AST which does not include remote join fields. This operation can be type safe but isn't taken up as part of the PR. 1. There is a lot of code duplication between `Transport/HTTP.hs` and `Transport/Websocket.hs` which needs to be fixed ASAP. This too hasn't been taken up by this PR. 1. The type which represents the execution plan is only modified to handle our current remote joins and as such it will have to be changed to accommodate general remote joins. 1. Use of lenses would have reduced the boilerplate code to collect remote joins from the base AST. 1. The current remote join logic assumes that the join columns of a remote relationship appear with their names in the database response. This however is incorrect as they could be aliased. This can be taken up by anyone, I've left a comment in the code. ### Notes to the reviewers I think it is best reviewed commit by commit. 1. The first one is very straight forward. 1. The second one refactors the remote join execution logic but other than moving things around, it doesn't change the user facing functionality. This moves Postgres specific parts to `Backends/Postgres` module from `Execute`. Some IR related code to `Hasura.RQL.IR` module. Simplifies various type class function signatures as a backend doesn't have to handle remote joins anymore 1. The third one fixes partial case matches that for some weird reason weren't shown as warnings before this refactor 1. The fourth one generalizes the validation logic of remote relationships and implements `scalarTypeGraphQLName` function on SQL Server and BigQuery which is used by the validation logic. This enables remote relationships on BigQuery and SQL Server. https://github.com/hasura/graphql-engine-mono/pull/1497 GitOrigin-RevId: 77dd8eed326602b16e9a8496f52f46d22b795598
2021-06-11 06:26:50 +03:00
name <- MSSQL.mkMSSQLScalarTypeName scalarType
let schemaType = P.NonNullable $ P.TNamed $ P.mkDefinition name Nothing P.TIScalar
pure $ Parser
{ pType = schemaType
, pParser =
valueToJSON (P.toGraphQLType schemaType) >=>
either (parseErrorWith ParseFailed . qeError) pure . (MSSQL.parseScalarValue scalarType)
}
ColumnEnumReference (EnumReference tableName enumValues) ->
case nonEmpty (Map.toList enumValues) of
Just enumValuesList -> do
tableGQLName <- tableGraphQLName @'MSSQL tableName `onLeft` throwError
let enumName = tableGQLName <> $$(G.litName "_enum")
pure $ possiblyNullable MSSQL.VarcharType $ P.enum enumName Nothing (mkEnumValue <$> enumValuesList)
Nothing -> throw400 ValidationFailed "empty enum values"
where
-- Sadly, this combinator is not sound in general, so we cant export it
-- for general-purpose use. If we did, someone could write this:
--
-- mkParameter <$> opaque do
-- n <- int
-- pure (mkIntColumnValue (n + 1))
--
-- Now wed end up with a UVParameter that has a variable in it, so wed
-- parameterize over it. But when wed reuse the plan, we wouldnt know to
-- increment the value by 1, so wed use the wrong value!
--
-- We could theoretically solve this by retaining a reference to the parser
-- itself and re-parsing each new value, using the saved parser, which
-- would admittedly be neat. But its more complicated, and it isnt clear
-- that it would actually be useful, so for now we dont support it.
opaque :: MonadParse m => Parser 'Both m a -> Parser 'Both m (Opaque a)
opaque parser = parser
{ pParser = \case
P.GraphQLValue (G.VVariable var@Variable{ vInfo, vValue }) -> do
typeCheck False (P.toGraphQLType $ pType parser) var
P.mkOpaque (Just vInfo) <$> pParser parser (absurd <$> vValue)
value -> P.mkOpaque Nothing <$> pParser parser value
}
possiblyNullable _scalarType
| isNullable = fmap (fromMaybe ODBC.NullValue) . P.nullable
| otherwise = id
mkEnumValue :: (EnumValue, EnumValueInfo) -> (P.Definition P.EnumValueInfo, ScalarValue 'MSSQL)
mkEnumValue (EnumValue value, EnumValueInfo description) =
( P.mkDefinition value (G.Description <$> description) P.EnumValueInfo
, ODBC.TextValue $ G.unName value
)
msJsonPathArg
:: MonadParse n
=> ColumnType 'MSSQL
-> InputFieldsParser n (Maybe (IR.ColumnOp 'MSSQL))
msJsonPathArg _columnType = pure Nothing
msOrderByOperators
:: NonEmpty
( Definition P.EnumValueInfo
, (BasicOrderType 'MSSQL, NullsOrderType 'MSSQL)
)
msOrderByOperators = NE.fromList
[ ( define $$(G.litName "asc") "in ascending order, nulls first"
, (MSSQL.AscOrder, MSSQL.NullsFirst)
)
, ( define $$(G.litName "asc_nulls_first") "in ascending order, nulls first"
, (MSSQL.AscOrder, MSSQL.NullsFirst)
)
, ( define $$(G.litName "asc_nulls_last") "in ascending order, nulls last"
, (MSSQL.AscOrder, MSSQL.NullsLast)
)
, ( define $$(G.litName "desc") "in descending order, nulls last"
, (MSSQL.DescOrder, MSSQL.NullsLast)
)
, ( define $$(G.litName "desc_nulls_first") "in descending order, nulls first"
, (MSSQL.DescOrder, MSSQL.NullsFirst)
)
, ( define $$(G.litName "desc_nulls_last") "in descending order, nulls last"
, (MSSQL.DescOrder, MSSQL.NullsLast)
)
]
where
define name desc = P.mkDefinition name (Just desc) P.EnumValueInfo
msComparisonExps
:: forall m n r
. ( BackendSchema 'MSSQL
, MonadSchema n m
, MonadError QErr m
, MonadReader r m
, Has QueryContext r
)
=> ColumnType 'MSSQL
-> m (Parser 'Input n [ComparisonExp 'MSSQL])
msComparisonExps = P.memoize 'comparisonExps \columnType -> do
-- see Note [Columns in comparison expression are never nullable]
collapseIfNull <- asks $ qcDangerousBooleanCollapse . getter
-- parsers used for individual values
typedParser <- columnParser columnType (G.Nullability False)
nullableTextParser <- columnParser (ColumnScalar @'MSSQL MSSQL.VarcharType) (G.Nullability True)
textParser <- columnParser (ColumnScalar @'MSSQL MSSQL.VarcharType) (G.Nullability False)
let
columnListParser = P.list typedParser `P.bind` traverse P.openOpaque
textListParser = P.list textParser `P.bind` traverse P.openOpaque
-- field info
let
name = P.getName typedParser <> $$(G.litName "_MSSQL_comparison_exp")
desc = G.Description $ "Boolean expression to compare columns of type "
<> P.getName typedParser
<<> ". All fields are combined with logical 'AND'."
pure $ P.object name (Just desc) $ fmap catMaybes $ sequenceA $ concat
[
-- Common ops for all types
equalityOperators
collapseIfNull
(mkParameter <$> typedParser)
(mkListLiteral <$> columnListParser)
, comparisonOperators
collapseIfNull
(mkParameter <$> typedParser)
-- Ops for String like types
, guard (isScalarColumnWhere (`elem` MSSQL.stringTypes) columnType) *>
[ P.fieldOptional $$(G.litName "_like")
(Just "does the column match the given pattern")
(ALIKE . mkParameter <$> typedParser)
, P.fieldOptional $$(G.litName "_nlike")
(Just "does the column NOT match the given pattern")
(ANLIKE . mkParameter <$> typedParser)
]
-- Ops for Geometry/Geography types
, guard (isScalarColumnWhere (`elem` MSSQL.geoTypes) columnType) *>
[ P.fieldOptional $$(G.litName "_st_contains")
(Just "does the column contain the given value")
(ABackendSpecific . MSSQL.ASTContains . mkParameter <$> typedParser)
, P.fieldOptional $$(G.litName "_st_equals")
(Just "is the column equal to given value (directionality is ignored)")
(ABackendSpecific . MSSQL.ASTEquals . mkParameter <$> typedParser)
, P.fieldOptional $$(G.litName "_st_intersects")
(Just "does the column spatially intersect the given value")
(ABackendSpecific . MSSQL.ASTIntersects . mkParameter <$> typedParser)
, P.fieldOptional $$(G.litName "_st_overlaps")
(Just "does the column 'spatially overlap' (intersect but not completely contain) the given value")
(ABackendSpecific . MSSQL.ASTOverlaps . mkParameter <$> typedParser)
, P.fieldOptional $$(G.litName "_st_within")
(Just "is the column contained in the given value")
(ABackendSpecific . MSSQL.ASTWithin . mkParameter <$> typedParser)
]
-- Ops for Geometry types
, guard (isScalarColumnWhere (MSSQL.GeometryType ==) columnType) *>
[ P.fieldOptional $$(G.litName "_st_crosses")
(Just "does the column cross the given geometry value")
(ABackendSpecific . MSSQL.ASTCrosses . mkParameter <$> typedParser)
, P.fieldOptional $$(G.litName "_st_touches")
(Just "does the column have at least one point in common with the given geometry value")
(ABackendSpecific . MSSQL.ASTTouches . mkParameter <$> typedParser)
]
]
where
mkListLiteral :: [ColumnValue 'MSSQL] -> UnpreparedValue 'MSSQL
mkListLiteral =
P.UVLiteral . MSSQL.ListExpression . fmap (MSSQL.ValueExpression . cvValue)
msMkCountType
:: Maybe Bool
-- ^ distinct values
-> Maybe [Column 'MSSQL]
-> CountType 'MSSQL
msMkCountType _ Nothing = MSSQL.StarCountable
msMkCountType (Just True) (Just cols) =
maybe MSSQL.StarCountable MSSQL.DistinctCountable $ nonEmpty cols
msMkCountType _ (Just cols) =
maybe MSSQL.StarCountable MSSQL.NonNullFieldCountable $ nonEmpty cols
-- | Various update operators
msUpdateOperators
:: Applicative m
=> TableInfo 'MSSQL -- ^ table info
-> UpdPermInfo 'MSSQL -- ^ update permissions of the table
-> m (Maybe (InputFieldsParser n [(Column 'MSSQL, IR.UpdOpExpG (UnpreparedValue 'MSSQL))]))
msUpdateOperators _tableInfo _updatePermissions = pure Nothing
-- | Computed field parser.
-- Currently unsupported: returns Nothing for now.
msComputedField
:: MonadBuildSchema 'MSSQL r m n
=> SourceName
-> ComputedFieldInfo 'MSSQL
-> TableName 'MSSQL
-> SelPermInfo 'MSSQL
-> m (Maybe (FieldParser n (AnnotatedField 'MSSQL)))
msComputedField _sourceName _fieldInfo _table _selectPemissions = pure Nothing
-- | Remote join field parser.
-- Currently unsupported: returns Nothing for now.
msRemoteRelationshipField
:: MonadBuildSchema 'MSSQL r m n
=> RemoteFieldInfo 'MSSQL
-> m (Maybe [FieldParser n (AnnotatedField 'MSSQL)])
msRemoteRelationshipField _remoteFieldInfo = pure Nothing
-- | The 'node' root field of a Relay request. Relay is currently unsupported on MSSQL,
-- meaning this parser will never be called: any attempt to create this parser should
-- therefore fail.
msNode
:: MonadBuildSchema 'MSSQL r m n
=> m ( Parser 'Output n
( HashMap
( TableName 'MSSQL)
( SourceName, SourceConfig 'MSSQL
, SelPermInfo 'MSSQL
, PrimaryKeyColumns 'MSSQL
, AnnotatedFields 'MSSQL
)
)
)
msNode = throw500 "MSSQL does not support relay; `node` should never be exposed in the schema."
----------------------------------------------------------------
-- SQL literals
-- FIXME: this is nonsensical for MSSQL, we'll need to adjust the corresponding mutation
-- and its representation.
msColumnDefaultValue :: Column 'MSSQL -> SQLExpression 'MSSQL
msColumnDefaultValue = const $ MSSQL.ValueExpression ODBC.NullValue