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  1. pattern DerivAnyclass :: DerivStrategy

    haskell-src-exts-simple Language.Haskell.Exts.Simple.Syntax

    No documentation available.

  2. deferMany :: forall f (n :: Type -> Type) a . (Foldable f, Monad n) => (RuntimeSplice n a -> Splice n) -> RuntimeSplice n (f a) -> Splice n

    heist Heist.Compiled

    Similar to mapSplices in interpreted mode. Gets a runtime list of items and applies a compiled runtime splice function to each element of the list.

  3. manyWith :: forall f (n :: Type -> Type) a . (Foldable f, Monad n) => Splice n -> Splices (RuntimeSplice n a -> Splice n) -> Splices (RuntimeSplice n a -> AttrSplice n) -> RuntimeSplice n (f a) -> Splice n

    heist Heist.Compiled

    More powerful version of manyWithSplices that lets you also define attribute splices.

  4. manyWithSplices :: forall f (n :: Type -> Type) a . (Foldable f, Monad n) => Splice n -> Splices (RuntimeSplice n a -> Splice n) -> RuntimeSplice n (f a) -> Splice n

    heist Heist.Compiled

    Like withSplices, but evaluates the splice repeatedly for each element in a list generated at runtime.

  5. ManyComponents :: [component] -> OneOrManyComponents component

    hie-bios HIE.Bios.Config.YAML

    No documentation available.

  6. data OneOrManyComponents component

    hie-bios HIE.Bios.Config.YAML

    No documentation available.

  7. LogAny :: Text -> Log

    hie-bios HIE.Bios.Types

    No documentation available.

  8. getMany :: forall record (m :: Type -> Type) . (PersistStoreRead backend, MonadIO m, PersistRecordBackend record backend) => [Key record] -> ReaderT backend m (Map (Key record) record)

    hledger-web Hledger.Web.Import

    Get many records by their respective identifiers, if available.

    Example usage

    With schema-1 and dataset-1:
    getUsers :: MonadIO m => ReaderT SqlBackend m (Map (Key User) User)
    getUsers = getMany allkeys
    
    musers <- getUsers
    
    The above query when applied on dataset-1, will get these records:
    +----+-------+-----+
    | id | name  | age |
    +----+-------+-----+
    |  1 | SPJ   |  40 |
    +----+-------+-----+
    |  2 | Simon |  41 |
    +----+-------+-----+
    

  9. insertEntityMany :: forall record (m :: Type -> Type) . (PersistStoreWrite backend, MonadIO m, PersistRecordBackend record backend) => [Entity record] -> ReaderT backend m ()

    hledger-web Hledger.Web.Import

    Same as insertMany_, but takes an Entity instead of just a record. Useful when migrating data from one entity to another and want to preserve ids. The MongoDB, PostgreSQL, SQLite and MySQL backends insert all records in one database query.

    Example usage

    With schema-1 and dataset-1,
    insertUserEntityMany :: MonadIO m => ReaderT SqlBackend m ()
    insertUserEntityMany = insertEntityMany [SnakeEntity, EvaEntity]
    
    The above query when applied on dataset-1, will produce this:
    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |SPJ   |40   |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
    |3    |Snake |38   |
    +-----+------+-----+
    |4    |Eva   |38   |
    +-----+------+-----+
    

  10. insertMany :: forall record (m :: Type -> Type) . (PersistStoreWrite backend, MonadIO m, PersistRecordBackend record backend, SafeToInsert record) => [record] -> ReaderT backend m [Key record]

    hledger-web Hledger.Web.Import

    Create multiple records in the database and return their Keys. If you don't need the inserted Keys, use insertMany_. The MongoDB and PostgreSQL backends insert all records and retrieve their keys in one database query. The SQLite and MySQL backends use the slow, default implementation of mapM insert.

    Example usage

    with schema-1 and dataset-1,
    insertUsers :: MonadIO m => ReaderT SqlBackend m [Key User]
    insertUsers = insertMany [User "John" 30, User "Nick" 32, User "Jane" 20]
    
    userIds <- insertUsers
    
    The above query when applied on dataset-1, will produce this:
    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |SPJ   |40   |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
    |3    |John  |30   |
    +-----+------+-----+
    |4    |Nick  |32   |
    +-----+------+-----+
    |5    |Jane  |20   |
    +-----+------+-----+
    

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