6.6.4. Deriving instances of extra classes (Data
, etc.)¶
Haskell 98 allows the programmer to add “deriving( Eq, Ord )
” to a
data type declaration, to generate a standard instance declaration for
classes specified in the deriving
clause. In Haskell 98, the only
classes that may appear in the deriving
clause are the standard
classes Eq
, Ord
, Enum
, Ix
, Bounded
, Read
, and
Show
.
GHC extends this list with several more classes that may be automatically derived:
 With
DeriveGeneric
, you can derive instances of the classesGeneric
andGeneric1
, defined inGHC.Generics
. You can use these to define generic functions, as described in Generic programming.  With
DeriveFunctor
, you can derive instances of the classFunctor
, defined inGHC.Base
.  With
DeriveDataTypeable
, you can derive instances of the classData
, defined inData.Data
.  With
DeriveFoldable
, you can derive instances of the classFoldable
, defined inData.Foldable
.  With
DeriveTraversable
, you can derive instances of the classTraversable
, defined inData.Traversable
. Since theTraversable
instance dictates the instances ofFunctor
andFoldable
, you’ll probably want to derive them too, soDeriveTraversable
impliesDeriveFunctor
andDeriveFoldable
.  With
DeriveLift
, you can derive instances of the classLift
, defined in theLanguage.Haskell.TH.Syntax
module of thetemplatehaskell
package.
You can also use a standalone deriving declaration instead (see Standalone deriving declarations).
In each case the appropriate class must be in scope before it can be
mentioned in the deriving
clause.
6.6.4.1. Deriving Functor
instances¶

DeriveFunctor
¶ Since: 7.10.1 Allow automatic deriving of instances for the
Functor
typeclass.
With DeriveFunctor
, one can derive Functor
instances for data types
of kind Type > Type
. For example, this declaration:
data Example a = Ex a Char (Example a) (Example Char)
deriving Functor
would generate the following instance:
instance Functor Example where
fmap f (Ex a1 a2 a3 a4) = Ex (f a1) a2 (fmap f a3) a4
The basic algorithm for DeriveFunctor
walks the arguments of each
constructor of a data type, applying a mapping function depending on the type
of each argument. If a plain type variable is found that is syntactically
equivalent to the last type parameter of the data type (a
in the above
example), then we apply the function f
directly to it. If a type is
encountered that is not syntactically equivalent to the last type parameter
but does mention the last type parameter somewhere in it, then a recursive
call to fmap
is made. If a type is found which doesn’t mention the last
type parameter at all, then it is left alone.
The second of those cases, in which a type is unequal to the type parameter but does contain the type parameter, can be surprisingly tricky. For example, the following example compiles:
newtype Right a = Right (Either Int a) deriving Functor
Modifying the code slightly, however, produces code which will not compile:
newtype Wrong a = Wrong (Either a Int) deriving Functor
The difference involves the placement of the last type parameter, a
. In the
Right
case, a
occurs within the type Either Int a
, and moreover, it
appears as the last type argument of Either
. In the Wrong
case,
however, a
is not the last type argument to Either
; rather, Int
is.
This distinction is important because of the way DeriveFunctor
works. The
derived Functor Right
instance would be:
instance Functor Right where
fmap f (Right a) = Right (fmap f a)
Given a value of type Right a
, GHC must produce a value of type
Right b
. Since the argument to the Right
constructor has type
Either Int a
, the code recursively calls fmap
on it to produce a value
of type Either Int b
, which is used in turn to construct a final value of
type Right b
.
The generated code for the Functor Wrong
instance would look exactly the
same, except with Wrong
replacing every occurrence of Right
. The
problem is now that fmap
is being applied recursively to a value of type
Either a Int
. This cannot possibly produce a value of type
Either b Int
, as fmap
can only change the last type parameter! This
causes the generated code to be illtyped.
As a general rule, if a data type has a derived Functor
instance and its
last type parameter occurs on the righthand side of the data declaration, then
either it must (1) occur bare (e.g., newtype Id a = Id a
), or (2) occur as the
last argument of a type constructor (as in Right
above).
There are two exceptions to this rule:
Tuple types. When a nonunit tuple is used on the righthand side of a data declaration,
DeriveFunctor
treats it as a product of distinct types. In other words, the following code:newtype Triple a = Triple (a, Int, [a]) deriving Functor
Would result in a generated
Functor
instance like so:instance Functor Triple where fmap f (Triple a) = Triple (case a of (a1, a2, a3) > (f a1, a2, fmap f a3))
That is,
DeriveFunctor
patternmatches its way into tuples and maps over each type that constitutes the tuple. The generated code is reminiscent of what would be generated fromdata Triple a = Triple a Int [a]
, except with extra machinery to handle the tuple.Function types. The last type parameter can appear anywhere in a function type as long as it occurs in a covariant position. To illustrate what this means, consider the following three examples:
newtype CovFun1 a = CovFun1 (Int > a) deriving Functor newtype CovFun2 a = CovFun2 ((a > Int) > a) deriving Functor newtype CovFun3 a = CovFun3 (((Int > a) > Int) > a) deriving Functor
All three of these examples would compile without issue. On the other hand:
newtype ContraFun1 a = ContraFun1 (a > Int) deriving Functor newtype ContraFun2 a = ContraFun2 ((Int > a) > Int) deriving Functor newtype ContraFun3 a = ContraFun3 (((a > Int) > a) > Int) deriving Functor
While these examples look similar, none of them would successfully compile. This is because all occurrences of the last type parameter
a
occur in contravariant positions, not covariant ones.Intuitively, a covariant type is produced, and a contravariant type is consumed. Most types in Haskell are covariant, but the function type is special in that the lefthand side of a function arrow reverses variance. If a function type
a > b
appears in a covariant position (e.g.,CovFun1
above), thena
is in a contravariant position andb
is in a covariant position. Similarly, ifa > b
appears in a contravariant position (e.g.,CovFun2
above), thena
is ina
covariant position andb
is in a contravariant position.To see why a data type with a contravariant occurrence of its last type parameter cannot have a derived
Functor
instance, let’s suppose that aFunctor ContraFun1
instance exists. The implementation would look something like this:instance Functor ContraFun1 where fmap f (ContraFun g) = ContraFun (\x > _)
We have
f :: a > b
,g :: a > Int
, andx :: b
. Using these, we must somehow fill in the hole (denoted with an underscore) with a value of typeInt
. What are our options?We could try applying
g
tox
. This won’t work though, asg
expects an argument of typea
, andx :: b
. Even worse, we can’t turnx
into something of typea
, sincef
also needs an argument of typea
! In short, there’s no good way to make this work.On the other hand, a derived
Functor
instances for theCovFun
s are within the realm of possibility:instance Functor CovFun1 where fmap f (CovFun1 g) = CovFun1 (\x > f (g x)) instance Functor CovFun2 where fmap f (CovFun2 g) = CovFun2 (\h > f (g (\x > h (f x)))) instance Functor CovFun3 where fmap f (CovFun3 g) = CovFun3 (\h > f (g (\k > h (\x > f (k x)))))
There are some other scenarios in which a derived Functor
instance will
fail to compile:
A data type has no type parameters (e.g.,
data Nothing = Nothing
).A data type’s last type variable is used in a
DatatypeContexts
constraint (e.g.,data Ord a => O a = O a
).A data type’s last type variable is used in an
ExistentialQuantification
constraint, or is refined in a GADT. For example,data T a b where T4 :: Ord b => b > T a b T5 :: b > T b b T6 :: T a (b,b) deriving instance Functor (T a)
would not compile successfully due to the way in which
b
is constrained.
When the last type parameter has a phantom role (see Roles), the derived
Functor
instance will not be produced using the usual algorithm. Instead,
the entire value will be coerced.
data Phantom a = Z  S (Phantom a) deriving Functor
will produce the following instance:
instance Functor Phantom where
fmap _ = coerce
When a type has no constructors, the derived Functor
instance will
simply force the (bottom) value of the argument using
EmptyCase
.
data V a deriving Functor
type role V nominal
will produce
 instance Functor V where
 fmap _ z = case z of
6.6.4.2. Deriving Foldable
instances¶

DeriveFoldable
¶ Since: 7.10.1 Allow automatic deriving of instances for the
Foldable
typeclass.
With DeriveFoldable
, one can derive Foldable
instances for data types
of kind Type > Type
. For example, this declaration:
data Example a = Ex a Char (Example a) (Example Char)
deriving Foldable
would generate the following instance:
instance Foldable Example where
foldr f z (Ex a1 a2 a3 a4) = f a1 (foldr f z a3)
foldMap f (Ex a1 a2 a3 a4) = mappend (f a1) (foldMap f a3)
The algorithm for DeriveFoldable
is adapted from the
DeriveFunctor
algorithm, but it generates definitions for
foldMap
, foldr
, and null
instead of fmap
. In addition,
DeriveFoldable
filters out all constructor arguments on the RHS
expression whose types do not mention the last type parameter, since those
arguments do not need to be folded over.
When the type parameter has a phantom role (see Roles),
DeriveFoldable
derives a trivial instance. For example, this
declaration:
data Phantom a = Z  S (Phantom a)
will generate the following instance.
instance Foldable Phantom where
foldMap _ _ = mempty
Similarly, when the type has no constructors, DeriveFoldable
will
derive a trivial instance:
data V a deriving Foldable
type role V nominal
will generate the following.
instance Foldable V where
foldMap _ _ = mempty
Here are the differences between the generated code for Functor
and
Foldable
:
#. When a bare type variable a
is encountered, DeriveFunctor
would generate f a
for an fmap
definition. DeriveFoldable
would generate f a z
for foldr
, f a
for foldMap
, and False
for null
.
When a type that is not syntactically equivalent to
a
, but which does containa
, is encountered,DeriveFunctor
recursively callsfmap
on it. Similarly,DeriveFoldable
would recursively callfoldr
andfoldMap
. Depending on the context,null
may recursively callnull
orall null
. For example, givendata F a = F (P a) data G a = G (P (a, Int)) data H a = H (P (Q a))
Foldable
deriving will producenull (F x) = null x null (G x) = null x null (H x) = all null x
DeriveFunctor
puts everything back together again at the end by invoking the constructor.DeriveFoldable
, however, builds up a value of some type. Forfoldr
, this is accomplished by chaining applications off
and recursivefoldr
calls on the state valuez
. ForfoldMap
, this happens by combining all values withmappend
. Fornull
, the values are usually combined with&&
. However, if any of the values is known to beFalse
, all the rest will be dropped. For example,data SnocList a = Nil  Snoc (SnocList a) a
will not produce
null (Snoc xs _) = null xs && False
(which would walk the whole list), but rather
null (Snoc _ _) = False
There are some other differences regarding what data types can have derived
Foldable
instances:
Data types containing function types on the righthand side cannot have derived
Foldable
instances.Foldable
instances can be derived for data types in which the last type parameter is existentially constrained or refined in a GADT. For example, this data type:data E a where E1 :: (a ~ Int) => a > E a E2 :: Int > E Int E3 :: (a ~ Int) => a > E Int E4 :: (a ~ Int) => Int > E a deriving instance Foldable E
would have the following generated
Foldable
instance:instance Foldable E where foldr f z (E1 e) = f e z foldr f z (E2 e) = z foldr f z (E3 e) = z foldr f z (E4 e) = z foldMap f (E1 e) = f e foldMap f (E2 e) = mempty foldMap f (E3 e) = mempty foldMap f (E4 e) = mempty
Notice how every constructor of
E
utilizes some sort of existential quantification, but only the argument ofE1
is actually “folded over”. This is because we make a deliberate choice to only fold over universally polymorphic types that are syntactically equivalent to the last type parameter. In particular:
 We don’t fold over the arguments of
E1
orE4
because even though(a ~ Int)
,Int
is not syntactically equivalent toa
. We don’t fold over the argument of
E3
becausea
is not universally polymorphic. Thea
inE3
is (implicitly) existentially quantified, so it is not the same as the last type parameter ofE
.
6.6.4.3. Deriving Traversable
instances¶

DeriveTraversable
¶ Implies: DeriveFoldable
,DeriveFunctor
Since: 7.10.1 Allow automatic deriving of instances for the
Traversable
typeclass.
With DeriveTraversable
, one can derive Traversable
instances for data
types of kind Type > Type
. For example, this declaration:
data Example a = Ex a Char (Example a) (Example Char)
deriving (Functor, Foldable, Traversable)
would generate the following Traversable
instance:
instance Traversable Example where
traverse f (Ex a1 a2 a3 a4)
= fmap (\b1 b3 > Ex b1 a2 b3 a4) (f a1) <*> traverse f a3
The algorithm for DeriveTraversable
is adapted from the
DeriveFunctor
algorithm, but it generates a definition for traverse
instead of fmap
. In addition, DeriveTraversable
filters out
all constructor arguments on the RHS expression whose types do not mention the
last type parameter, since those arguments do not produce any effects in a
traversal.
When the type parameter has a phantom role (see Roles),
DeriveTraversable
coerces its argument. For example, this
declaration:
data Phantom a = Z  S (Phantom a) deriving Traversable
will generate the following instance:
instance Traversable Phantom where
traverse _ z = pure (coerce z)
When the type has no constructors, DeriveTraversable
will
derive the laziest instance it can.
data V a deriving Traversable
type role V nominal
will generate the following, using EmptyCase
:
instance Traversable V where
traverse _ z = pure (case z of)
Here are the differences between the generated code in each extension:
 When a bare type variable
a
is encountered, bothDeriveFunctor
andDeriveTraversable
would generatef a
for anfmap
andtraverse
definition, respectively.  When a type that is not syntactically equivalent to
a
, but which does containa
, is encountered,DeriveFunctor
recursively callsfmap
on it. Similarly,DeriveTraversable
would recursively calltraverse
. DeriveFunctor
puts everything back together again at the end by invoking the constructor.DeriveTraversable
does something similar, but it works in anApplicative
context by chaining everything together with(<*>)
.
Unlike DeriveFunctor
, DeriveTraversable
cannot be used on data
types containing a function type on the righthand side.
For a full specification of the algorithms used in DeriveFunctor
,
DeriveFoldable
, and DeriveTraversable
, see
this wiki page.
6.6.4.4. Deriving Data
instances¶

DeriveDataTypeable
¶ Since: 6.8.1 Enable automatic deriving of instances for the
Data
typeclass
6.6.4.5. Deriving Typeable
instances¶
The class Typeable
is very special:
Typeable
is kindpolymorphic (see Kind polymorphism).GHC has a custom solver for discharging constraints that involve class
Typeable
, and handwritten instances are forbidden. This ensures that the programmer cannot subvert the type system by writing bogus instances.Derived instances of
Typeable
may be declared if theDeriveDataTypeable
extension is enabled, but they are ignored, and they may be reported as an error in a later version of the compiler.The rules for solving
Typeable
constraints are as follows:A concrete type constructor applied to some types.
instance (Typeable t1, .., Typeable t_n) => Typeable (T t1 .. t_n)
This rule works for any concrete type constructor, including type constructors with polymorphic kinds. The only restriction is that if the type constructor has a polymorphic kind, then it has to be applied to all of its kinds parameters, and these kinds need to be concrete (i.e., they cannot mention kind variables).
A type variable applied to some types:
instance (Typeable f, Typeable t1, .., Typeable t_n) => Typeable (f t1 .. t_n)
A concrete type literal.:
instance Typeable 0  Type natural literals instance Typeable "Hello"  Typelevel symbols
6.6.4.6. Deriving Lift
instances¶

DeriveLift
¶ Since: 8.0.1 Enable automatic deriving of instances for the
Lift
typeclass for Template Haskell.
The class Lift
, unlike other derivable classes, lives in
templatehaskell
instead of base
. Having a data type be an instance of
Lift
permits its values to be promoted to Template Haskell expressions (of
type ExpQ
and TExpQ a
), which can then be spliced into Haskell source
code.
Here is an example of how one can derive Lift
:
{# LANGUAGE DeriveLift #}
module Bar where
import Language.Haskell.TH.Syntax
data Foo a = Foo a  a :^: a deriving Lift
{
instance (Lift a) => Lift (Foo a) where
lift (Foo a) = [ Foo a ]
lift ((:^:) u v) = [ (:^:) u v ]
liftTyped (Foo a) = [ Foo a ]
liftTyped ((:^:) u v) = [ (:^:) u v ]
}

{# LANGUAGE TemplateHaskell #}
module Baz where
import Bar
import Language.Haskell.TH.Lift
foo :: Foo String
foo = $(lift $ Foo "foo")
fooExp :: Lift a => Foo a > Q Exp
fooExp f = [ f ]
Note that the Lift
typeclass takes advantage of Levity polymorphism in order
to support instances involving unboxed types. This means DeriveLift
also works for these types:
{# LANGUAGE DeriveLift, MagicHash #}
module Unboxed where
import GHC.Exts
import Language.Haskell.TH.Syntax
data IntHash = IntHash Int# deriving Lift
{
instance Lift IntHash where
lift (IntHash i) = [ IntHash i ]
liftTyped (IntHash i) = [ IntHash i ]
}