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Moduleesqueleto-3.6.0.3Haskell2010

Database.Esqueleto.Experimental

This module contains a new way (introduced in 3.3.3.0) of using FROM in Haskell. The old method was a bit finicky and could permit runtime errors, and this new way is both significantly safer and much more powerful.

This syntax will become the default syntax exported from the library in version 3.6.0.0. To use the old syntax, see Database.Esqueleto.Legacy.

  • 85 types
  • 30 classes
  • 265 values
  • Packageesqueleto-3.6.0.3
  • Exports398
  • LanguageHaskell2010
  • LicenceBSD-3-Clause
  • SourceExperimental.hs

Setup

0 declarations

If you're already using Database.Esqueleto, then you can get started using this module just by changing your imports slightly, as well as enabling the TypeApplications extension.

{-# LANGUAGE TypeApplications #-}

...

import Database.Esqueleto.Experimental

Note: Prior to esqueleto-3.3.4.0, the Database.Esqueleto.Experimental module did not reexport Data.Esqueleto.

Introduction

0 declarations

This module is fully backwards-compatible extension to the esqueleto EDSL that expands subquery functionality and enables SQL set operations to be written directly in Haskell. Specifically, this enables:

  • Subqueries in JOIN statements

  • UNION

  • UNION ALL

  • INTERSECT

  • EXCEPT

As a consequence of this, several classes of runtime errors are now caught at compile time. This includes missing on clauses and improper handling of Maybe values in outer joins.

This module can be used in conjunction with the main Database.Esqueleto module, but doing so requires qualified imports to avoid ambiguous definitions of on and from, which are defined in both modules.

Below we will give an overview of how to use this module and the features it enables.

A New Syntax

0 declarations

This module introduces a new syntax that serves to enable the aforementioned features. This new syntax also changes how joins written in the esqueleto EDSL to more closely resemble the underlying SQL.

For our examples, we'll use a schema similar to the one in the Getting Started section of Database.Esqueleto:

share [mkPersist sqlSettings, mkMigrate "migrateAll"] [persist|
  Person
    name String
    age Int Maybe
    deriving Eq Show
  BlogPost
    title String
    authorId PersonId
    deriving Eq Show
  Follow
    follower PersonId
    followed PersonId
    deriving Eq Show
|]
Example 1: Simple select

Let's select all people who are named "John".

Database.Esqueleto:
select $
from $ \people -> do
where_ (people ^. PersonName ==. val "John")
pure people
Database.Esqueleto.Experimental:
select $ do
people <- from $ table @Person
where_ (people ^. PersonName ==. val "John")
pure people
Example 2: Select with join

Let's select all people and their blog posts who are over the age of 18.

Database.Esqueleto:
select $
from $ \(people `LeftOuterJoin` blogPosts) -> do
on (just (people ^. PersonId) ==. blogPosts ?. BlogPostAuthorId)
where_ (people ^. PersonAge >. just (val 18))
pure (people, blogPosts)
Database.Esqueleto.Experimental:

Here we use the :& operator to pattern match against the joined tables.

select $ do
(people :& blogPosts) <-
    from $ table @Person
    `leftJoin` table @BlogPost
    `on` (\(people :& blogPosts) ->
            just (people ^. PersonId) ==. blogPosts ?. BlogPostAuthorId)
where_ (people ^. PersonAge >. just (val 18))
pure (people, blogPosts)
Example 3: Select with multi-table join

Let's select all people who follow a person named "John", including the name of each follower.

Database.Esqueleto:
select $
from $ \(
 people1
 `InnerJoin` followers
 `InnerJoin` people2
) -> do
on (people1 ^. PersonId ==. followers ^. FollowFollowed)
on (followers ^. FollowFollower ==. people2 ^. PersonId)
where_ (people1 ^. PersonName ==. val "John")
pure (followers, people2)
Database.Esqueleto.Experimental:

In this version, with each successive on clause, only the tables we have already joined into are in scope, so we must pattern match accordingly. In this case, in the second innerJoin, we do not use the first Person reference, so we use _ as a placeholder to ignore it. This prevents a possible runtime error where a table is referenced before it appears in the sequence of JOINs.

select $ do
(people1 :& followers :& people2) <-
    from $ table @Person
    `innerJoin` table @Follow
    `on` (\(people1 :& followers) ->
            people1 ^. PersonId ==. followers ^. FollowFollowed)
    `innerJoin` table @Person
    `on` (\(_ :& followers :& people2) ->
            followers ^. FollowFollower ==. people2 ^. PersonId)
where_ (people1 ^. PersonName ==. val "John")
pure (followers, people2)
Example 4: Counting results of a subquery

Let's count the number of people who have posted at least 10 posts

Database.Esqueleto:
select $ pure $ subSelectCount $
from $ \(
  people
  `InnerJoin` blogPosts
) -> do
on (people ^. PersonId ==. blogPosts ^. BlogPostAuthorId)
groupBy (people ^. PersonId)
having ((count $ blogPosts ^. BlogPostId) >. val 10)
pure people
Database.Esqueleto.Experimental:
select $ do
peopleWithPosts <-
  from $ do
    (people :& blogPosts) <-
      from $ table @Person
      `innerJoin` table @BlogPost
      `on` (\(p :& bP) ->
              p ^. PersonId ==. bP ^. BlogPostAuthorId)
    groupBy (people ^. PersonId)
    having ((count $ blogPosts ^. BlogPostId) >. val 10)
    pure people
pure $ count (peopleWithPosts ^. PersonId)

We now have the ability to refactor this

Example 5: Sorting the results of a UNION with limits

Out of all of the posts created by a person and the people they follow, generate a list of the first 25 posts, sorted alphabetically.

Database.Esqueleto:

Since UNION is not supported, this requires using Database.Esqueleto.rawSql. (Not shown)

Database.Esqueleto.Experimental:

Since this module supports all set operations (see SqlSetOperation), we can use Union to write this query.

select $ do
(authors, blogPosts) <- from $
  (do
    (author :& blogPost) <-
      from $ table @Person
      `innerJoin` table @BlogPost
      `on` (\(a :& bP) ->
              a ^. PersonId ==. bP ^. BlogPostAuthorId)
    where_ (author ^. PersonId ==. val currentPersonId)
    pure (author, blogPost)
  )
  `union_`
  (do
    (follow :& blogPost :& author) <-
      from $ table @Follow
      `innerJoin` table @BlogPost
      `on` (\(f :& bP) ->
              f ^. FollowFollowed ==. bP ^. BlogPostAuthorId)
      `innerJoin` table @Person
      `on` (\(_ :& bP :& a) ->
              bP ^. BlogPostAuthorId ==. a ^. PersonId)
    where_ (follow ^. FollowFollower ==. val currentPersonId)
    pure (author, blogPost)
  )
orderBy [ asc (blogPosts ^. BlogPostTitle) ]
limit 25
pure (authors, blogPosts)
Example 6: LATERAL JOIN

As of version 3.4.0.0, lateral subquery joins are supported.

select $ do
(salesPerson :& maxSaleAmount :& maxSaleCustomerName) <-
  from $ table @SalesPerson
  `crossJoinLateral` (\salesPerson -> do
        sales <- from $ table @Sale
        where_ $ sales ^. SaleSalesPersonId ==. salesPerson ^. SalesPersonId
        pure $ max_ (sales ^. SaleAmount)
        )
  `crossJoinLateral` (\(salesPerson :& maxSaleAmount) -> do
        sales <- from $ table @Sale
        where_ $ sales ^. SaleSalesPersonId ==. salesPerson ^. SalesPersonId
             &&. sales ^. SaleAmount ==. maxSaleAmount
        pure $ sales ^. SaleCustomerName)
        )
pure (salesPerson ^. SalesPersonName, maxSaleAmount, maxSaleCustomerName)

This is the equivalent to the following SQL (example taken from the MySQL Lateral Derived Table documentation):

SELECT
  salesperson.name,
  max_sale.amount,
  max_sale_customer.customer_name
FROM
  salesperson,
  -- calculate maximum size, cache it in transient derived table max_sale
  LATERAL
  (SELECT MAX(amount) AS amount
    FROM all_sales
    WHERE all_sales.salesperson_id = salesperson.id)
  AS max_sale,
  LATERAL
  (SELECT customer_name
    FROM all_sales
    WHERE all_sales.salesperson_id = salesperson.id
    AND all_sales.amount =
        -- the cached maximum size
        max_sale.amount)
  AS max_sale_customer;

Documentation

0 declarations

Basic Queries

valuefrom :: ToFrom a a' => a -> SqlQuery a'
#

FROM clause, used to bring entities into scope.

Internally, this function uses the From datatype. Unlike the old Database.Esqueleto.from, this does not take a function as a parameter, but rather a value that represents a JOIN tree constructed out of instances of From. This implementation eliminates certain types of runtime errors by preventing the construction of invalid SQL (e.g. illegal nested-from).

valueselectQuery
  1. :: (SqlSelect a r, ToAlias a, ToAliasReference a)
  2. => SqlQuery a
  3. -> From a
#

Select from a subquery, often used in conjuction with joins but can be used without any joins. Because SqlQuery has a ToFrom instance you probably dont need to use this function directly.

select $
     p <- from $
             selectQuery do
             p <- from $ table @Person
             limit 5
             orderBy [ asc p ^. PersonAge ]
     ...

Joins

datadata (:&) a b
#

A left-precedence pair. Pronounced "and". Used to represent expressions that have been joined together.

The precedence behavior can be demonstrated by:

a :& b :& c == ((a :& b) :& c)

See the examples at the beginning of this module to see how this operator is used in JOIN operations.

Constructors

  • a :& binfixl 2
Instances19Bifunctor, DoInnerJoin, DoLeftJoin, DoCrossJoin, GetFirstTable, Functor, …
valueon
  1. :: ValidOnClause a
  2. => a
  3. -> b -> SqlExpr (Value Bool)
  4. -> (a, b -> SqlExpr (Value Bool))
#

An ON clause that describes how two tables are related. This should be used as an infix operator after a JOIN. For example,

select $
from $ table @Person
`innerJoin` table @BlogPost
`on` (\(p :& bP) ->
        p ^. PersonId ==. bP ^. BlogPostAuthorId)
valueinnerJoin
  1. :: (ToFrom a a', ToFrom b b', HasOnClause rhs (a' :& b'), rhs ~ (b, a' :& b' -> SqlExpr (Value Bool)))
  2. => a
  3. -> rhs
  4. -> From (a' :& b')
#

INNER JOIN

Used as an infix operator `innerJoin`

select $
from $ table @Person
`innerJoin` table @BlogPost
`on` (\(p :& bp) ->
        p ^. PersonId ==. bp ^. BlogPostAuthorId)
valueleftJoin
  1. :: (ToFrom a a', ToFrom b b', ToMaybe b', HasOnClause rhs (a' :& ToMaybeT b'), rhs ~ (b, a' :& ToMaybeT b' -> SqlExpr (Value Bool)))
  2. => a
  3. -> rhs
  4. -> From (a' :& ToMaybeT b')
#

LEFT OUTER JOIN

Join where the right side may not exist. If the on clause fails then the right side will be NULL'ed Because of this the right side needs to be handled as a Maybe

Used as an infix operator `leftJoin`

select $
from $ table @Person
`leftJoin` table @BlogPost
`on` (\(p :& bp) ->
        just (p ^. PersonId) ==. bp ?. BlogPostAuthorId)
valueleftJoinLateral
  1. :: (ToFrom a a', SqlSelect b r, HasOnClause rhs (a' :& ToMaybeT b), ToAlias b, ToAliasReference b, ToMaybe b, rhs ~ (a' -> SqlQuery b, a' :& ToMaybeT b -> SqlExpr (Value Bool)))
  2. => a
  3. -> rhs
  4. -> From (a' :& ToMaybeT b)
#

LEFT OUTER JOIN LATERAL

Lateral join where the right side may not exist. In the case that the query returns nothing or the on clause fails the right side of the join will be NULL'ed Because of this the right side needs to be handled as a Maybe

Used as an infix operator `leftJoinLateral`

See example 6 for how to use LATERAL

valuerightJoin
  1. :: (ToFrom a a', ToFrom b b', ToMaybe a', HasOnClause rhs (ToMaybeT a' :& b'), rhs ~ (b, ToMaybeT a' :& b' -> SqlExpr (Value Bool)))
  2. => a
  3. -> rhs
  4. -> From (ToMaybeT a' :& b')
#

RIGHT OUTER JOIN

Join where the left side may not exist. If the on clause fails then the left side will be NULL'ed Because of this the left side needs to be handled as a Maybe

Used as an infix operator `rightJoin`

select $
from $ table @Person
`rightJoin` table @BlogPost
`on` (\(p :& bp) ->
        p ?. PersonId ==. bp ^. BlogPostAuthorId)
valuefullOuterJoin
  1. :: (ToFrom a a', ToFrom b b', ToMaybe a', ToMaybe b', HasOnClause rhs (ToMaybeT a' :& ToMaybeT b'), rhs ~ (b, ToMaybeT a' :& ToMaybeT b' -> SqlExpr (Value Bool)))
  2. => a
  3. -> rhs
  4. -> From (ToMaybeT a' :& ToMaybeT b')
#

FULL OUTER JOIN

Join where both sides of the join may not exist. Because of this the result needs to be handled as a Maybe

Used as an infix operator `fullOuterJoin`

select $
from $ table @Person
`fullOuterJoin` table @BlogPost
`on` (\(p :& bp) ->
        p ?. PersonId ==. bp ?. BlogPostAuthorId)
valuecrossJoin :: (ToFrom a a', ToFrom b b') => a -> b -> From (a' :& b')
#

CROSS JOIN

Used as an infix `crossJoin`

select $ do
from $ table @Person
`crossJoin` table @BlogPost

Set Operations

Data type that represents SQL set operations. This includes UNION, UNION ALL, EXCEPT, and INTERSECT. These types form a binary tree, with SqlQuery values on the leaves.

Each function corresponding to the aforementioned set operations can be used as an infix in a from to help with readability and lead to code that closely resembles the underlying SQL. For example,

select $ from $
  (do
     a <- from $ table A
     pure $ a ^. ASomeCol
  )
  `union_`
  (do
     b <- from $ table B
     pure $ b ^. BSomeCol
  )

is translated into

SELECT * FROM (
  (SELECT a.some_col FROM a)
  UNION
  (SELECT b.some_col FROM b)
)
methodunion_ :: a
#

UNION SQL set operation. Can be used as an infix function between SqlQuery values.

methodunionAll_ :: a
#

UNION ALL SQL set operation. Can be used as an infix function between SqlQuery values.

Common Table Expressions

valuewith
  1. :: (ToAlias a, ToAliasReference a, SqlSelect a r)
  2. => SqlQuery a
  3. -> SqlQuery (From a)
#

WITH clause used to introduce a Common Table Expression (CTE). CTEs are supported in most modern SQL engines and can be useful in performance tuning. In Esqueleto, CTEs should be used as a subquery memoization tactic. When writing plain SQL, CTEs are sometimes used to organize the SQL code, in Esqueleto, this is better achieved through function that return SqlQuery values.

select $ do
cte <- with subQuery
cteResult <- from cte
where_ $ cteResult ...
pure cteResult

WARNING: In some SQL engines using a CTE can diminish performance. In these engines the CTE is treated as an optimization fence. You should always verify that using a CTE will in fact improve your performance over a regular subquery.

Notably, in PostgreSQL prior to version 12, CTEs are always fully calculated, which can potentially significantly pessimize queries. As of PostgreSQL 12, non-recursive and side-effect-free queries may be inlined and optimized accordingly if not declared MATERIALIZED to get the previous behaviour. See the PostgreSQL CTE documentation, section Materialization, for more information. To use a MATERIALIZED query in Esquelto, see functions withMaterialized and withRecursiveMaterialized.

Since: 3.4.0.0

WITH RECURSIVE allows one to make a recursive subquery, which can reference itself. Like WITH, this is supported in most modern SQL engines. Useful for hierarchical, self-referential data, like a tree of data.

select $ do
cte <- withRecursive
         (do
             person <- from $ table @Person
             where_ $ person ^. PersonId ==. val personId
             pure person
         )
         unionAll_
         (\self -> do
             (p :& f :& p2 :& pSelf) <- from self
                      `innerJoin` $ table @Follow
                      `on` (\(p :& f) ->
                              p ^. PersonId ==. f ^. FollowFollower)
                      `innerJoin` $ table @Person
                      `on` (\(p :& f :& p2) ->
                              f ^. FollowFollowed ==. p2 ^. PersonId)
                      `leftJoin` self
                      `on` (\(_ :& _ :& p2 :& pSelf) ->
                              just (p2 ^. PersonId) ==. pSelf ?. PersonId)
             where_ $ isNothing (pSelf ?. PersonId)
             groupBy (p2 ^. PersonId)
             pure p2
         )
from cte

Since: 3.4.0.0

Internals

newtypenewtype From a
#

Data type defining the From language. This should not constructed directly in application code.

A From is a SqlQuery which returns a reference to the result of calling from and a function that produces a portion of a FROM clause. This gets passed to the FromRaw FromClause constructor directly when converting from a From to a SqlQuery using from

Constructors

Instances1ToFrom
  • ToFrom (From a) aDefined in esqueleto-3.6.0.3 · Database.Esqueleto.Experimental.From
classclass ToMaybe a where
#

Associated types

Methods

Instances11ToMaybe, …
classclass ToAlias a where
#

Methods

Instances19ToAlias, …
classclass ToAliasReference a where
#

Methods

Instances19ToAliasReference, …
classclass SqlSelect a r | a -> r, r -> a where
#

(Internal) Class for mapping results coming from SqlQuery into actual results.

This looks very similar to RawSql, and it is! However, there are some crucial differences and ultimately they're different classes.

Instances21SqlSelect, …

The Normal Stuff

102 declarations
valuegroupBy :: ToSomeValues a => a -> SqlQuery ()
#

GROUP BY clause. You can enclose multiple columns in a tuple.

select $ from \(foo `InnerJoin` bar) -> do
  on (foo ^. FooBarId ==. bar ^. BarId)
  groupBy (bar ^. BarId, bar ^. BarName)
  return (bar ^. BarId, bar ^. BarName, countRows)

With groupBy you can sort by aggregate functions, like so (we used let to restrict the more general countRows to SqlSqlExpr (Value Int) to avoid ambiguity---the second use of countRows has its type restricted by the :: Int below):

r <- select $ from \(foo `InnerJoin` bar) -> do
  on (foo ^. FooBarId ==. bar ^. BarId)
  groupBy $ bar ^. BarName
  let countRows' = countRows
  orderBy [asc countRows']
  return (bar ^. BarName, countRows')
forM_ r $ \(Value name, Value count) -> do
  print name
  print (count :: Int)
Need more columns?

The ToSomeValues class is defined for SqlExpr and tuples of SqlExprs. We only have definitions for up to 8 elements in a tuple right now, so it's possible that you may need to have more than 8 elements.

For example, consider a query with a groupBy call like this:

groupBy (e0, e1, e2, e3, e4, e5, e6, e7)

This is the biggest you can get with a single tuple. However, you can easily nest the tuples to add more:

groupBy ((e0, e1, e2, e3, e4, e5, e6, e7), e8, e9)
valuedistinct :: SqlQuery a -> SqlQuery a
#

DISTINCT. Change the current SELECT into SELECT DISTINCT. For example:

select $ distinct $
  from \foo -> do
  ...

Note that this also has the same effect:

select $
  from \foo -> do
  distinct (return ())
  ...

Deprecated. This function is deprecated, as it is only supported in Postgresql. Please use the variant in Database.Esqueleto.PostgreSQL instead.

DISTINCT ON. Change the current SELECT into SELECT DISTINCT ON (SqlExpressions). For example:

select $
  from \foo ->
  distinctOn [don (foo ^. FooName), don (foo ^. FooState)] $ do
  ...

You can also chain different calls to distinctOn. The above is equivalent to:

select $
  from \foo ->
  distinctOn [don (foo ^. FooName)] $
  distinctOn [don (foo ^. FooState)] $ do
  ...

Each call to distinctOn adds more SqlExpressions. Calls to distinctOn override any calls to distinct.

Note that PostgreSQL requires the SqlExpressions on DISTINCT ON to be the first ones to appear on a ORDER BY. This is not managed automatically by esqueleto, keeping its spirit of trying to be close to raw SQL.

Supported by PostgreSQL only.

valuelocking :: LockingKind -> SqlQuery ()
#

Add a locking clause to the query. Please read LockingKind documentation and your RDBMS manual. Unsafe since not all locking clauses are implemented for every RDBMS

If multiple calls to locking are made on the same query, the last one is used.

valueisNothing
  1. :: PersistField typ
  2. => SqlExpr (Value (Maybe typ))
  3. -> SqlExpr (Value Bool)
#

IS NULL comparison.

For IS NOT NULL, you can negate this with not_, as in not_ (isNothing (person ^. PersonAge))

Warning: Persistent and Esqueleto have different behavior for != Nothing:

Haskell

SQL

Persistent

!=. Nothing

IS NOT NULL

Esqueleto

!=. Nothing

!= NULL

In SQL, = NULL and != NULL return NULL instead of true or false. For this reason, you very likely do not want to use !=. Nothing in Esqueleto. You may find these hlint rules helpful to enforce this:

- error: {lhs: v Database.Esqueleto.==. Database.Esqueleto.nothing, rhs: Database.Esqueleto.isNothing v, name: Use Esqueleto's isNothing}
- error: {lhs: v Database.Esqueleto.==. Database.Esqueleto.val Nothing, rhs: Database.Esqueleto.isNothing v, name: Use Esqueleto's isNothing}
- error: {lhs: v Database.Esqueleto.!=. Database.Esqueleto.nothing, rhs: not_ (Database.Esqueleto.isNothing v), name: Use Esqueleto's not isNothing}
- error: {lhs: v Database.Esqueleto.!=. Database.Esqueleto.val Nothing, rhs: not_ (Database.Esqueleto.isNothing v), name: Use Esqueleto's not isNothing}
valuejoinV
  1. :: NullableFieldProjection typ typ'
  2. => SqlExpr (Value (Maybe typ))
  3. -> SqlExpr (Value (Maybe typ'))
#

Join nested Maybes in a Value into one. This is useful when calling aggregate functions on nullable fields.

As of v3.6.0.0, this function will attempt to work on both SqlExpr (Value (Maybe a)) as well as SqlExpr (Value (Maybe (Maybe a))) inputs to make transitioning to NullableFieldProjection easier. This may make type inference worse in some cases. If you want the monomorphic variant, see joinV'

value(==.)
  1. :: PersistField typ
  2. => SqlExpr (Value typ)
  3. -> SqlExpr (Value typ)
  4. -> SqlExpr (Value Bool)
#

This operator produces the SQL operator =, which is used to compare values for equality.

Example:

 query :: UserId -> SqlPersistT IO [Entity User]
 query userId = select $ do
     user <- from $ table @User
     where_ (user ^. UserId ==. val userId)
     pure user

This would generate the following SQL:

 SELECT user.*
 FROM user
 WHERE user.id = ?
value(+.)
  1. :: PersistField a
  2. => SqlExpr (Value a)
  3. -> SqlExpr (Value a)
  4. -> SqlExpr (Value a)
#

This operator translates to the SQL operator +.

This does not require or assume anything about the SQL values. Interpreting what +. means for a given type is left to the database engine.

Example:

 user ^. UserAge +. val 10
value(-.)
  1. :: PersistField a
  2. => SqlExpr (Value a)
  3. -> SqlExpr (Value a)
  4. -> SqlExpr (Value a)
#

This operator translates to the SQL operator -.

This does not require or assume anything about the SQL values. Interpreting what -. means for a given type is left to the database engine.

Example:

 user ^. UserAge -. val 10
value(/.)
  1. :: PersistField a
  2. => SqlExpr (Value a)
  3. -> SqlExpr (Value a)
  4. -> SqlExpr (Value a)
#

This operator translates to the SQL operator /.

This does not require or assume anything about the SQL values. Interpreting what /. means for a given type is left to the database engine.

Example:

 user ^. UserAge /. val 10
value(*.)
  1. :: PersistField a
  2. => SqlExpr (Value a)
  3. -> SqlExpr (Value a)
  4. -> SqlExpr (Value a)
#

This operator translates to the SQL operator *.

This does not require or assume anything about the SQL values. Interpreting what *. means for a given type is left to the database engine.

Example:

 user ^. UserAge *. val 10
valuecastNum :: (Num a, Num b) => SqlExpr (Value a) -> SqlExpr (Value b)
#

Allow a number of one type to be used as one of another type via an implicit cast. An explicit cast is not made, this function changes only the types on the Haskell side.

Caveat: Trying to use castNum from Double to Int will not result in an integer, the original fractional number will still be used! Use round_, ceiling_ or floor_ instead.

Safety: This operation is mostly safe due to the Num constraint between the types and the fact that RDBMSs usually allow numbers of different types to be used interchangeably. However, there may still be issues with the query not being accepted by the RDBMS or persistent not being able to parse it.

value(%) :: SqlString s => SqlExpr (Value s)
#

The string %. May be useful while using like and concatenation (concat_ or ++., depending on your database). Note that you always have to type the parenthesis, for example:

name `like` (%) ++. val "John" ++. (%)
valueconcat_ :: SqlString s => [SqlExpr (Value s)] -> SqlExpr (Value s)
#

The CONCAT function with a variable number of parameters. Supported by MySQL and PostgreSQL. SQLite supports this in versions after 3.44.0, and persistent-sqlite supports this in versions 2.13.3.0 and after.

valuecastString
  1. :: (SqlString s, SqlString r)
  2. => SqlExpr (Value s)
  3. -> SqlExpr (Value r)
#

Cast a string type into Text. This function is very useful if you want to use newtypes, or if you want to apply functions such as like to strings of different types.

Safety: This is a slightly unsafe function, especially if you have defined your own instances of SqlString. Also, since Maybe is an instance of SqlString, it's possible to turn a nullable value into a non-nullable one. Avoid using this function if possible.

valuein_
  1. :: PersistField typ
  2. => SqlExpr (Value typ)
  3. -> SqlExpr (ValueList typ)
  4. -> SqlExpr (Value Bool)
#

IN operator. For example if you want to select all Persons by a list of IDs:

SELECT *
FROM Person
WHERE Person.id IN (?)

In esqueleto, we may write the same query above as:

select $
from $ \person -> do
where_ $ person ^. PersonId `in_` valList personIds
return person

Where personIds is of type [Key Person].

valuecase_
  1. :: PersistField a
  2. => [(SqlExpr (Value Bool), SqlExpr (Value a))]
  3. -> SqlExpr (Value a)
  4. -> SqlExpr (Value a)
#

CASE statement. For example:

select $
return $
case_
   [ when_
       (exists $
       from $ \p -> do
       where_ (p ^. PersonName ==. val "Mike"))
     then_
       (subSelect $
       from $ \v -> do
       let sub =
               from $ \c -> do
               where_ (c ^. PersonName ==. val "Mike")
               return (c ^. PersonFavNum)
       where_ (just (v ^. PersonFavNum) >. subSelect sub)
       return $ count (v ^. PersonName) +. val (1 :: Int)) ]
   (else_ $ val (-1))

This query is a bit complicated, but basically it checks if a person named "Mike" exists, and if that person does, run the subquery to find out how many people have a ranking (by Fav Num) higher than "Mike".

NOTE: There are a few things to be aware about this statement.

  • This only implements the full CASE statement, it does not implement the "simple" CASE statement.

  • At least one when_ and then_ is mandatory otherwise it will emit an error.

  • The else_ is also mandatory, unlike the SQL statement in which if the ELSE is omitted it will return a NULL. You can reproduce this via nothing.

valuetoBaseId
  1. :: ToBaseId ent
  2. => SqlExpr (Value (Key ent))
  3. -> SqlExpr (Value (Key (BaseEnt ent)))
#

Convert an entity's key into another entity's.

This function is to be used when you change an entity's Id to be that of another entity. For example:

Bar
  barNum Int
Foo
  bar BarId
  fooNum Int
  Primary bar

In this example, Bar is said to be the BaseEnt(ity), and Foo the child. To model this in Esqueleto, declare:

instance ToBaseId Foo where
  type BaseEnt Foo = Bar
  toBaseIdWitness barId = FooKey barId

Now you're able to write queries such as:

select $
from $ (bar `InnerJoin` foo) -> do
on (toBaseId (foo ^. FooId) ==. bar ^. BarId)
return (bar, foo)

Note: this function may be unsafe to use in conditions not like the one of the example above.

valuefromBaseId
  1. :: ToBaseId ent
  2. => SqlExpr (Value (Key (BaseEnt ent)))
  3. -> SqlExpr (Value (Key ent))
#

The inverse of toBaseId. Note that this is somewhat less "safe" than toBaseId. Calling toBaseId will usually mean that a foreign key constraint is present that guarantees the presence of the base ID. fromBaseId has no such guarantee. Consider the code example given in toBaseId:

Bar
  barNum Int
Foo
  bar BarId
  fooNum Int
  Primary bar
instance ToBaseId Foo where
  type BaseEnt Foo = Bar
  toBaseIdWitness barId = FooKey barId

The type of toBaseId for Foo would be:

toBaseId :: SqlExpr (Value FooId) -> SqlExpr (Value BarId)

The foreign key constraint on Foo means that every FooId points to a BarId in the database. However, fromBaseId will not have this:

fromBaseId :: SqlExpr (Value BarId) -> SqlExpr (Value FooId)

Execute a subquery SELECT in a SqlExpr. The query passed to this function will only return a single result - it has a LIMIT 1 passed in to the query to make it safe, and the return type is Maybe to indicate that the subquery might result in 0 rows.

If you find yourself writing joinV . subSelect, then consider using subSelectMaybe.

If you're performing a countRows, then you can use subSelectCount which is safe.

If you know that the subquery will always return exactly one row (eg a foreign key constraint guarantees that you'll get exactly one row), then consider subSelectUnsafe, along with a comment explaining why it is safe.

valuesubSelectForeign
  1. :: (BackendCompatible SqlBackend (PersistEntityBackend val1), PersistEntity val1, PersistEntity val2, PersistField a)
  2. => SqlExpr (Entity val2)

    An expression representing the table you have access to now.

  3. -> EntityField val2 (Key val1)

    The foreign key field on the table.

  4. -> (SqlExpr (Entity val1) -> SqlExpr (Value a))

    A function to extract a value from the foreign reference table.

  5. -> SqlExpr (Value a)
#

Performs a sub-select using the given foreign key on the entity. This is useful to extract values that are known to be present by the database schema.

As an example, consider the following persistent definition:

User
  profile ProfileId

Profile
  name    Text

The following query will return the name of the user.

getUserWithName =
    select $
    from $ user ->
    pure (user, subSelectForeign user UserProfile (^. ProfileName)

Execute a subquery SELECT in a SqlExpr. This function is unsafe, because it can throw runtime exceptions in two cases:

  1. If the query passed has 0 result rows, then it will return a NULL value. The persistent parsing operations will fail on an unexpected NULL.

  2. If the query passed returns more than one row, then the SQL engine will fail with an error like "More than one row returned by a subquery used as an expression".

This function is safe if you guarantee that exactly one row will be returned, or if the result already has a Maybe type for some reason.

For variants with the safety encoded already, see subSelect and subSelectMaybe. For the most common safe use of this, see subSelectCount.

classclass ToBaseId ent where
#

Class that enables one to use toBaseId to convert an entity's key on a query into another (cf. toBaseId).

Associated types

  • type family BaseEnt ent

    e.g. type BaseEnt MyBase = MyChild

Methods

  • toBaseIdWitness :: Key (BaseEnt ent) -> Key ent

    Convert from the key of the BaseEnt(ity) to the key of the child entity. This function is not actually called, but that it typechecks proves this operation is safe.

valueelse_ :: expr a -> expr a
#

Syntax sugar for case_.

newtypenewtype Value a
#

A single value (as opposed to a whole entity). You may use (^.) or (?.) to get a Value from an Entity.

Constructors

Instances18Monad, Functor, Applicative, Foldable, Traversable, HasField, …
newtypenewtype ValueList a
#

A list of single values. There's a limited set of functions able to work with this data type (such as subList_select, valList, in_ and exists).

Constructors

Instances3Eq, Ord, Show
  • Eq a => Eq (ValueList a)Defined in esqueleto-3.6.0.3 · Database.Esqueleto.Internal.Internal
  • Ord a => Ord (ValueList a)Defined in esqueleto-3.6.0.3 · Database.Esqueleto.Internal.Internal
  • Show a => Show (ValueList a)Defined in esqueleto-3.6.0.3 · Database.Esqueleto.Internal.Internal
datadata LockingKind
#

Different kinds of locking clauses supported by locking.

Note that each RDBMS has different locking support. The constructors of this datatype specify only the syntax of the locking mechanism, not its semantics. For example, even though both MySQL and PostgreSQL support ForUpdate, there are no guarantees that they will behave the same.

Constructors

  • ForUpdate

    FOR UPDATE syntax. Supported by MySQL, Oracle and PostgreSQL.

  • ForUpdateSkipLocked

    FOR UPDATE SKIP LOCKED syntax. Supported by MySQL, Oracle and PostgreSQL.

  • ForShare

    FOR SHARE syntax. Supported by PostgreSQL.

  • LockInShareMode

    LOCK IN SHARE MODE syntax. Supported by MySQL.

classclass LockableEntity a where
#

Lockable entity

Example use:

select $ do
    (p :& bp) <- from $
        table Person
        innerJoin table BlogPost
            on do
                (p :& bp) -> p ^. PersonId ==. b ^. BlogPostAuthorId
    forUpdateOf (p :& b) skipLocked
    return p
Instances2LockableEntity
classclass PersistField a => SqlString a
#

Phantom class of data types that are treated as strings by the RDBMS. It has no methods because it's only used to avoid type errors such as trying to concatenate integers.

If you have a custom data type or newtype, feel free to make it an instance of this class.

Instances6SqlString
  • SqlString HtmlDefined in esqueleto-3.6.0.3 · Database.Esqueleto.Internal.Internal
  • SqlString ByteStringDefined in esqueleto-3.6.0.3 · Database.Esqueleto.Internal.Internal
  • SqlString TextDefined in esqueleto-3.6.0.3 · Database.Esqueleto.Internal.Internal
  • SqlString TextDefined in esqueleto-3.6.0.3 · Database.Esqueleto.Internal.Internal
  • SqlString a => SqlString (Maybe a)Defined in esqueleto-3.6.0.3 · Database.Esqueleto.Internal.Internal
  • a ~ Char => SqlString [a]Defined in esqueleto-3.6.0.3 · Database.Esqueleto.Internal.Internal

Joins

datadata InnerJoin a b
#

Data type that represents an INNER JOIN (see LeftOuterJoin for an example).

Constructors

Instances3IsJoinKind, From, ToFrom
datadata CrossJoin a b
#

Data type that represents a CROSS JOIN (see LeftOuterJoin for an example).

Constructors

Instances3IsJoinKind, From, ToFrom
datadata LeftOuterJoin a b
#

Data type that represents a LEFT OUTER JOIN. For example,

select $
from $ \(person `LeftOuterJoin` pet) ->
  ...

is translated into

SELECT ...
FROM Person LEFT OUTER JOIN Pet
...

See also: from.

Constructors

Instances3IsJoinKind, From, ToFrom
datadata RightOuterJoin a b
#

Data type that represents a RIGHT OUTER JOIN (see LeftOuterJoin for an example).

Constructors

Instances3IsJoinKind, From, ToFrom
datadata FullOuterJoin a b
#

Data type that represents a FULL OUTER JOIN (see LeftOuterJoin for an example).

Constructors

Instances3IsJoinKind, From, ToFrom

Exception thrown whenever on is used to create an ON clause but no matching JOIN is found.

Instances4Eq, Ord, Show, Exception

Join Helpers

valuegetTable
  1. :: GetFirstTable (SqlExpr (Entity t)) ts
  2. => ts
  3. -> SqlExpr (Entity t)
#

Get the first table of a given type from a chain of tables joined with (:&).

This can make it easier to write queries with a large number of join clauses:

select $ do
(people :& followers :& blogPosts) <-
    from $ table @Person
    `innerJoin` table @Follow
    `on` (\(person :& follow) ->
            person ^. PersonId ==. follow ^. FollowFollowed)
    `innerJoin` table @BlogPost
    `on` (\((getTable @Follow -> follow) :& blogPost) ->
            blogPost ^. BlogPostAuthorId ==. follow ^. FollowFollower)
where_ (people1 ^. PersonName ==. val "John")
pure (followers, people2)

This example is a bit trivial, but once you've joined five or six tables it becomes enormously helpful. The above example uses a ViewPattern to call the function and assign the variable directly, but you can also imagine it being written like this:

    `on` (\(prev :& blogPost) ->
            let
                follow = getTable @Follow prev
             in
                blogPost ^. BlogPostAuthorId ==. follow ^. FollowFollower)

This function will pluck out the first table that matches the applied type, so if you join on the same table multiple times, it will always select the first one provided.

The (:&) operator associates so that the left hand side can be a wildcard for an arbitrary amount of nesting, and the "most recent" or "newest" table in a join sequence is always available on the rightmost - so (prev :& bar) is a pattern that matches bar table (the most recent table added) and prev tables (all prior tables in the join match).

By calling getTable on the prev, you can select exactly the table you want, allowing you to omit a large number of spurious pattern matches. Consider a query that does several LEFT JOIN on a first table:

SELECT *
FROM person
LEFT JOIN car
  ON person.id = car.person_id
LEFT JOIN bike
  ON person.id = bike.person_id
LEFT JOIN food
  ON person.id = food.person_id
LEFT JOIN address
  ON person.id = address.person_id

The final on clause in esqueleto would look like this:

    `on` do
        \(person :& _car :& _bike :& _food :& address) ->
            person.id ==. address.personId

First, we can change it to a prev :& newest match. We can do this because of the operator associativity. This is kind of like how a list : operator associates, but in the other direction: a : (b : c) = a : b : c.

    `on` do
        \(prev :& address) ->
            let (person :& _car :& _bike :& _food) = prev
             in person.id ==. address.personId

Then, we can use getTable to select the Person table directly, instead of pattern matching manually.

    `on` do
        \(prev :& address) ->
            let person = getTable @Person prev
             in person.id ==. address.personId

Finally, we can use a ViewPattern language extension to "inline" the access.

    `on` do
        \((getTable @Person -> person) :& address) ->
           person.id ==. address.personId

With this form, you do not need to be concerned about the number and wildcard status of tables that do not matter to the specific ON clause.

classclass GetFirstTable t ts where
#

Typeclass for selecting tables using type application syntax.

If you have a long chain of tables joined with (:&), like a :& b :& c :& d, then getTable @c (a :& b :& c :& d) will give you the c table back.

Note that this typeclass will only select the first table of the given type; it may be less useful if there's multiple tables of the same type.

Methods

  • getFirstTable :: ts -> t

    Get the first table of type t from the tables ts.

Instances3GetFirstTable
  • GetFirstTable t (t :& ts)Defined in esqueleto-3.6.0.3 · Database.Esqueleto.Experimental.From.Join
  • GetFirstTable t (x :& t)Defined in esqueleto-3.6.0.3 · Database.Esqueleto.Experimental.From.Join
  • GetFirstTable t ts => GetFirstTable t (ts :& x)Defined in esqueleto-3.6.0.3 · Database.Esqueleto.Experimental.From.Join

SQL backend

newtypenewtype SqlQuery a
#

SQL backend for esqueleto using SqlPersistT.

Instances9Monad, Functor, Applicative, DoInnerJoin, DoLeftJoin, DoCrossJoin, …
datadata SqlExpr a
#

An expression on the SQL backend.

Raw expression: Contains a SqlExprMeta and a function for building the expr. It recieves a parameter telling it whether it is in a parenthesized context, and takes information about the SQL connection (mainly for escaping names) and returns both an string (Builder) and a list of values to be interpolated by the SQL backend.

Instances29Functor, HasField, DoInnerJoin, DoLeftJoin, From, LockableEntity, …
valueselect
  1. :: (SqlSelect a r, MonadIO m, SqlBackendCanRead backend)
  2. => SqlQuery a
  3. -> ReaderT backend m [r]
#

Execute an esqueleto SELECT query inside persistent's SqlPersistT monad and return a list of rows.

We've seen that from has some magic about which kinds of things you may bring into scope. This select function also has some magic for which kinds of things you may bring back to Haskell-land by using SqlQuery's return:

  • You may return a SqlExpr (Entity v) for an entity v (i.e., like the * in SQL), which is then returned to Haskell-land as just Entity v.

  • You may return a SqlExpr (Maybe (Entity v)) for an entity v that may be NULL, which is then returned to Haskell-land as Maybe (Entity v). Used for OUTER JOINs.

  • You may return a SqlExpr (Value t) for a value t (i.e., a single column), where t is any instance of PersistField, which is then returned to Haskell-land as Value t. You may use Value to return projections of an Entity (see (^.) and (?.)) or to return any other value calculated on the query (e.g., countRows or subSelect).

The SqlSelect a r class has functional dependencies that allow type information to flow both from a to r and vice-versa. This means that you'll almost never have to give any type signatures for esqueleto queries. For example, the query select $ from $ \p -> return p alone is ambiguous, but in the context of

do ps <- select $
         from $ \p ->
         return p
   liftIO $ mapM_ (putStrLn . personName . entityVal) ps

we are able to infer from that single personName . entityVal function composition that the p inside the query is of type SqlExpr (Entity Person).

valueselectOne
  1. :: (SqlSelect a r, MonadIO m, SqlBackendCanRead backend)
  2. => SqlQuery a
  3. -> ReaderT backend m (Maybe r)
#

Execute an esqueleto SELECT query inside persistent's SqlPersistT monad and return the first entry wrapped in a Maybe. @since 3.5.1.0

Example usage
firstPerson :: MonadIO m => SqlPersistT m (Maybe (Entity Person))
firstPerson =
 selectOne $ do
     person <- from $ table @Person
     return person

The above query is equivalent to a select combined with limit but you would still have to transform the results from a list:

firstPerson :: MonadIO m => SqlPersistT m [Entity Person]
firstPerson =
 select $ do
     person <- from $ table @Person
     limit 1
     return person
valuedelete
  1. :: (MonadIO m, SqlBackendCanWrite backend)
  2. => SqlQuery ()
  3. -> ReaderT backend m ()
#

Execute an esqueleto DELETE query inside persistent's SqlPersistT monad. Note that currently there are no type checks for statements that should not appear on a DELETE query.

Example of usage:

delete $
from $ \appointment ->
where_ (appointment ^. AppointmentDate <. val now)

Unlike select, there is a useful way of using delete that will lead to type ambiguities. If you want to delete all rows (i.e., no where_ clause), you'll have to use a type signature:

delete $
from $ \(appointment :: SqlExpr (Entity Appointment)) ->
return ()
Database.Esqueleto.Experimental:
 delete $ do
   userFeature <- from $ table @UserFeature
   where_ ((userFeature ^. UserFeatureFeature) notIn valList allKnownFeatureFlags)

Execute an esqueleto UPDATE query inside persistent's SqlPersistT monad. Note that currently there are no type checks for statements that should not appear on a UPDATE query.

Example of usage:

update $ \p -> do
set p [ PersonAge =. just (val thisYear) -. p ^. PersonBorn ]
where_ $ isNothing (p ^. PersonAge)

Rendering Queries

valuerenderQueryToText
  1. :: (SqlSelect a r, BackendCompatible SqlBackend backend, Monad m)
  2. => Mode

    Whether to render as an SELECT, DELETE, etc.

  3. -> SqlQuery a

    The SQL query you want to render.

  4. -> ReaderT backend m (Text, [PersistValue])
#

Renders a SqlQuery into a Text value along with the list of PersistValues that would be supplied to the database for ? placeholders.

You must ensure that the Mode you pass to this function corresponds with the actual SqlQuery. If you pass a query that uses incompatible features (like an INSERT statement with a SELECT mode) then you'll get a weird result.

Helpers

valuevalJ
  1. :: PersistField (Key entity)
  2. => Value (Key entity)
  3. -> SqlExpr (Value (Key entity))
#

valJ is like val but for something that is already a Value. The use case it was written for was, given a Value lift the Key for that Value into the query expression in a type safe way. However, the implementation is more generic than that so we call it valJ.

Its important to note that the input entity and the output entity are constrained to be the same by the type signature on the function (https://github.com/prowdsponsor/esqueleto/pull/69).

valueassociateJoin
  1. :: Ord (Key e0)
  2. => [(Entity e0, e1)]
  3. -> Map (Key e0) (e0, [e1])
#

Avoid N+1 queries and join entities into a map structure.

This function is useful to call on the result of a single JOIN. For example, suppose you have this query:

getFoosAndNestedBarsFromParent
    :: ParentId
    -> SqlPersistT IO [(Entity Foo, Maybe (Entity Bar))]
getFoosAndNestedBarsFromParent parentId =
    select $ do
        (foo :& bar) <- from $
            table Foo
            `LeftOuterJoin`
            table Bar
                `on` do
                    \(foo :& bar) ->
                        foo ^. FooId ==. bar ?. BarFooId
        where_ $
            foo ^. FooParentId ==. val parentId
        pure (foo, bar)

This is a natural result type for SQL - a list of tuples. However, it's not what we usually want in Haskell - each Foo in the list will be represented multiple times, once for each Bar.

We can write fmap associateJoin and it will translate it into a Map that is keyed on the Key of the left Entity, and the value is a tuple of the entity's value as well as the list of each coresponding entity.

getFoosAndNestedBarsFromParentHaskellese
    :: ParentId
    -> SqlPersistT (Map (Key Foo) (Foo, [Maybe (Entity Bar)]))
getFoosAndNestedBarsFromParentHaskellese parentId =
    fmap associateJoin $ getFoosdAndNestedBarsFromParent parentId

What if you have multiple joins?

Let's use associateJoin with a *two* join query.

userPostComments
    :: SqlQuery (SqlExpr (Entity User, Entity Post, Entity Comment))
userPostsComment = do
    (u :& p :& c) <- from $
        table User
        `InnerJoin`
        table Post
            on do
                \(u :& p) ->
                    u ^. UserId ==. p ^. PostUserId
        `InnerJoin`
        table @Comment
            `on` do
                \(_ :& p :& c) ->
                    p ^. PostId ==. c ^. CommentPostId
    pure (u, p, c)

This query returns a User, with all of the users Posts, and then all of the Comments on that post.

First, we *nest* the tuple.

nest :: (a, b, c) -> (a, (b, c))
nest (a, b, c) = (a, (b, c))

This makes the return of the query conform to the input expected from associateJoin.

nestedUserPostComments
    :: SqlPersistT IO [(Entity User, (Entity Post, Entity Comment))]
nestedUserPostComments =
    fmap nest $ select userPostsComments

Now, we can call associateJoin on it.

associateUsers
    :: [(Entity User, (Entity Post, Entity Comment))]
    -> Map UserId (User, [(Entity Post, Entity Comment)])
associateUsers =
    associateJoin

Next, we'll use the Functor instances for Map and tuple to call associateJoin on the [(Entity Post, Entity Comment)].

associatePostsAndComments
    :: Map UserId (User, [(Entity Post, Entity Comment)])
    -> Map UserId (User, Map PostId (Post, [Entity Comment]))
associatePostsAndComments =
    fmap (fmap associateJoin)

For more reading on this topic, see this Foxhound Systems blog post.

Re-exports

valueentityIdToJSON
  1. :: (PersistEntity record, ToJSON record)
  2. => Entity record
  3. -> Value
#

Predefined toJSON. The resulting JSON looks like {"id": 1, "name": ...}.

The typical usage is:

instance ToJSON (Entity User) where
    toJSON = entityIdToJSON

Convenience function for getting a free PersistField instance from a type with JSON instances. The JSON parser used will accept JSON values other that object and arrays. So, if your instance serializes the data to a JSON string, this will still work.

Example usage in combination with toPersistValueJSON:

instance PersistField MyData where
  fromPersistValue = fromPersistValueJSON
  toPersistValue = toPersistValueJSON
valuekeyValueEntityToJSON
  1. :: (PersistEntity record, ToJSON record)
  2. => Entity record
  3. -> Value
#

Predefined toJSON. The resulting JSON looks like {"key": 1, "value": {"name": ...}}.

The typical usage is:

instance ToJSON (Entity User) where
    toJSON = keyValueEntityToJSON
valuetabulateEntity
  1. :: PersistEntity record
  2. => forall a. EntityField record a -> a
  3. -> Entity record
#

Construct an Entity record by providing a value for each of the record's fields.

These constructions are equivalent:

entityMattConstructor, entityMattTabulate :: Entity User
entityMattConstructor =
    Entity
        { entityKey = toSqlKey 123
        , entityVal =
            User
                { userName = Matt
                , userAge = 33
                }
        }

entityMattTabulate =
    tabulateEntity $ \case
        UserId ->
            toSqlKey 123
        UserName ->
            Matt
        UserAge ->
            33

This is a specialization of tabulateEntityA, which allows you to construct an Entity by providing an Applicative action for each field instead of a regular function.

valuegetEntity
  1. :: (PersistStoreRead backend, PersistRecordBackend e backend, MonadIO m)
  2. => Key e
  3. -> ReaderT backend m (Maybe (Entity e))
#

Like get, but returns the complete Entity.

Example usage

With schema-1 and dataset-1,

getSpjEntity :: MonadIO m => ReaderT SqlBackend m (Maybe (Entity User))
getSpjEntity = getEntity spjId
mSpjEnt <- getSpjEntity

The above query when applied on dataset-1, will get this entity:

+----+------+-----+
| id | name | age |
+----+------+-----+
|  1 | SPJ  |  40 |
+----+------+-----+
valuegetJust
  1. :: (PersistStoreRead backend, PersistRecordBackend record backend, MonadIO m)
  2. => Key record
  3. -> ReaderT backend m record
#

Same as get, but for a non-null (not Maybe) foreign key. Unsafe unless your database is enforcing that the foreign key is valid.

Example usage

With schema-1 and dataset-1,

getJustSpj :: MonadIO m => ReaderT SqlBackend m User
getJustSpj = getJust spjId
spj <- getJust spjId

The above query when applied on dataset-1, will get this record:

+----+------+-----+
| id | name | age |
+----+------+-----+
|  1 | SPJ  |  40 |
+----+------+-----+
getJustUnknown :: MonadIO m => ReaderT SqlBackend m User
getJustUnknown = getJust unknownId

mrx <- getJustUnknown

This just throws an error.

valuegetJustEntity
  1. :: (PersistEntityBackend record ~ BaseBackend backend, MonadIO m, PersistEntity record, PersistStoreRead backend)
  2. => Key record
  3. -> ReaderT backend m (Entity record)
#

Same as getJust, but returns an Entity instead of just the record.

Example usage

With schema-1 and dataset-1,

getJustEntitySpj :: MonadIO m => ReaderT SqlBackend m (Entity User)
getJustEntitySpj = getJustEntity spjId
spjEnt <- getJustEntitySpj

The above query when applied on dataset-1, will get this entity:

+----+------+-----+
| id | name | age |
+----+------+-----+
|  1 | SPJ  |  40 |
+----+------+-----+
valueinsertEntity
  1. :: (PersistStoreWrite backend, PersistRecordBackend e backend, SafeToInsert e, MonadIO m, HasCallStack)
  2. => e
  3. -> ReaderT backend m (Entity e)
#

Like insert, but returns the complete Entity.

Example usage

With schema-1 and dataset-1,

insertHaskellEntity :: MonadIO m => ReaderT SqlBackend m (Entity User)
insertHaskellEntity = insertEntity $ User "Haskell" 81
haskellEnt <- insertHaskellEntity

The above query when applied on dataset-1, will produce this:

+----+---------+-----+
| id |  name   | age |
+----+---------+-----+
|  1 | SPJ     |  40 |
+----+---------+-----+
|  2 | Simon   |  41 |
+----+---------+-----+
|  3 | Haskell |  81 |
+----+---------+-----+
valueinsertRecord
  1. :: (PersistEntityBackend record ~ BaseBackend backend, PersistEntity record, MonadIO m, PersistStoreWrite backend, SafeToInsert record, HasCallStack)
  2. => record
  3. -> ReaderT backend m record
#

Like insertEntity but just returns the record instead of Entity.

Example usage

With schema-1 and dataset-1,

insertDaveRecord :: MonadIO m => ReaderT SqlBackend m User
insertDaveRecord = insertRecord $ User "Dave" 50
dave <- insertDaveRecord

The above query when applied on dataset-1, will produce this:

+-----+------+-----+
|id   |name  |age  |
+-----+------+-----+
|1    |SPJ   |40   |
+-----+------+-----+
|2    |Simon |41   |
+-----+------+-----+
|3    |Dave  |50   |
+-----+------+-----+
valuewithCompatibleBackend
  1. :: BackendCompatible sup sub
  2. => ReaderT sup m a
  3. -> ReaderT sub m a
#

Run a query against a compatible backend, by projecting the backend

This is a helper for using queries which run against a specific backend type that your backend is compatible with.

valuecheckUnique
  1. :: (MonadIO m, PersistRecordBackend record backend, PersistUniqueRead backend)
  2. => record
  3. -> ReaderT backend m (Maybe (Unique record))
#

Check whether there are any conflicts for unique keys with this entity and existing entities in the database.

Returns Nothing if the entity would be unique, and could thus safely be inserted. on a conflict returns the conflicting key

Example usage

We use schema-1 and dataset-1 here.

This would be Nothing:

mAlanConst <- checkUnique $ User "Alan" 70

While this would be Just because SPJ already exists:

mSpjConst <- checkUnique $ User "SPJ" 60
valuecheckUniqueUpdateable
  1. :: (MonadIO m, PersistRecordBackend record backend, PersistUniqueRead backend)
  2. => Entity record
  3. -> ReaderT backend m (Maybe (Unique record))
#

Check whether there are any conflicts for unique keys with this entity and existing entities in the database.

Returns Nothing if the entity would stay unique, and could thus safely be updated. on a conflict returns the conflicting key

This is similar to checkUnique, except it's useful for updating - when the particular entity already exists, it would normally conflict with itself. This variant ignores those conflicts

Example usage

We use schema-1 and dataset-1 here.

This would be Nothing:

mAlanConst <- checkUnique $ User "Alan" 70

While this would be Just because SPJ already exists:

mSpjConst <- checkUnique $ User "SPJ" 60
valuegetByValue
  1. :: (MonadIO m, PersistUniqueRead backend, PersistRecordBackend record backend, AtLeastOneUniqueKey record)
  2. => record
  3. -> ReaderT backend m (Maybe (Entity record))
#

A modification of getBy, which takes the PersistEntity itself instead of a Unique record. Returns a record matching one of the unique keys. This function makes the most sense on entities with a single Unique constructor.

Example usage

With schema-1 and dataset-1,

getBySpjValue :: MonadIO m => ReaderT SqlBackend m (Maybe (Entity User)) getBySpjValue = getByValue $ User SPJ 999

mSpjEnt <- getBySpjValue

The above query when applied on dataset-1, will get this record:

+----+------+-----+
| id | name | age |
+----+------+-----+
|  1 | SPJ  |  40 |
+----+------+-----+
valueinsertBy
  1. :: (MonadIO m, PersistUniqueWrite backend, PersistRecordBackend record backend, AtLeastOneUniqueKey record, SafeToInsert record)
  2. => record
  3. -> ReaderT backend m (Either (Entity record) (Key record))
#

Insert a value, checking for conflicts with any unique constraints. If a duplicate exists in the database, it is returned as Left. Otherwise, the new 'Key is returned as Right.

Example usage

With schema-2 and dataset-1, we have following lines of code:

l1 <- insertBy $ User "SPJ" 20
l2 <- insertBy $ User "XXX" 41
l3 <- insertBy $ User "SPJ" 40
r1 <- insertBy $ User "XXX" 100

First three lines return Left because there're duplicates in given record's uniqueness constraints. While the last line returns a new key as Right.

valueinsertUniqueEntity
  1. :: (MonadIO m, PersistRecordBackend record backend, PersistUniqueWrite backend, SafeToInsert record)
  2. => record
  3. -> ReaderT backend m (Maybe (Entity record))
#

Like insertEntity, but returns Nothing when the record couldn't be inserted because of a uniqueness constraint.

Example usage

We use schema-2 and dataset-1 here.

insertUniqueSpjEntity :: MonadIO m => ReaderT SqlBackend m (Maybe (Entity User))
insertUniqueSpjEntity = insertUniqueEntity $ User "SPJ" 50
mSpjEnt <- insertUniqueSpjEntity

The above query results Nothing as SPJ already exists.

insertUniqueAlexaEntity :: MonadIO m => ReaderT SqlBackend m (Maybe (Entity User))
insertUniqueAlexaEntity = insertUniqueEntity $ User "Alexa" 3
mAlexaEnt <- insertUniqueSpjEntity

Because there's no such unique keywords of the given record, the above query when applied on dataset-1, will produce this:

+----+-------+-----+
| id | name  | age |
+----+-------+-----+
|  1 | SPJ   |  40 |
+----+-------+-----+
|  2 | Simon |  41 |
+----+-------+-----+
|  3 | Alexa |   3 |
+----+-------+-----+
valueonlyUnique
  1. :: (MonadIO m, PersistUniqueWrite backend, PersistRecordBackend record backend, OnlyOneUniqueKey record)
  2. => record
  3. -> ReaderT backend m (Unique record)
#

Return the single unique key for a record.

Example usage

We use shcema-1 and dataset-1 here.

onlySimonConst :: MonadIO m => ReaderT SqlBackend m (Unique User)
onlySimonConst = onlyUnique $ User "Simon" 999
mSimonConst <- onlySimonConst

mSimonConst would be Simon's uniqueness constraint. Note that onlyUnique doesn't work if there're more than two constraints. It will fail with a type error instead.

Retrieve the list of FieldDef that makes up the fields of the entity.

This does not return the fields for an Id column or an implicit id. It will return the key columns if you used the Primary syntax for defining the primary key.

This does not return fields that are marked SafeToRemove or MigrationOnly - so it only returns fields that are represented in the Haskell type. If you need those fields, use getEntityFieldsDatabase.

This returns all of the FieldDef defined for the EntityDef, including those fields that are marked as MigrationOnly (and therefore only present in the database) or SafeToRemove (and a migration will drop the column if it exists in the database).

For all the fields that are present on the Haskell-type, see getEntityFields.

Gets the Source of the definition of the entity.

Note that as of this writing the span covers the entire file or quasiquote where the item is defined due to parsing limitations. This may be changed in a future release to be more accurate.

Commit the current transaction and begin a new one. This is used when a transaction commit is required within the context of runSqlConn (which brackets its provided action with a transaction begin/commit pair).

valueunPrefix :: EntityWithPrefix prefix record -> Entity record
#

A helper function to tell GHC what the EntityWithPrefix prefix should be. This allows you to use a type application to specify the prefix, instead of specifying the etype on the result.

As an example, here's code that uses this:

myQuery :: SqlPersistM [Entity Person]
myQuery = fmap (unPrefix @"p") $ rawSql query []
  where
    query = "SELECT ?? FROM person AS p"
valueaddMigration
  1. :: Bool

    Is the migration unsafe to run? (eg a destructive or non-idempotent update on the schema). If True, the migration is *unsafe*, and will need to be run manually later. If False, the migration is *safe*, and can be run any number of times.

  2. -> Sql

    A Text value representing the command to run on the database.

  3. -> Migration
#

Add a migration to the migration plan.

Same as runMigration, but returns a list of the SQL commands executed instead of printing them to stderr.

This function silences the migration by remapping stderr. As a result, it is not thread-safe and can clobber output from other parts of the program. This implementation method was chosen to also silence postgresql migration output on stderr, but is not recommended!

Run an action against the database during a migration. Can be useful for eg creating Postgres extensions:

runSqlCommand $ rawExecute "CREATE EXTENSION IF NOT EXISTS "uuid-ossp";" []
valuerawSql
  1. :: (RawSql a, MonadIO m, BackendCompatible SqlBackend backend)
  2. => Text

    SQL statement, possibly with placeholders.

  3. -> [PersistValue]

    Values to fill the placeholders.

  4. -> ReaderT backend m [a]
#

Execute a raw SQL statement and return its results as a list. If you do not expect a return value, use of rawExecute is recommended.

If you're using Entitys (which is quite likely), then you must use entity selection placeholders (double question mark, ??). These ?? placeholders are then replaced for the names of the columns that we need for your entities. You'll receive an error if you don't use the placeholders. Please see the Entitys documentation for more details.

You may put value placeholders (question marks, ?) in your SQL query. These placeholders are then replaced by the values you pass on the second parameter, already correctly escaped. You may want to use toPersistValue to help you constructing the placeholder values.

Since you're giving a raw SQL statement, you don't get any guarantees regarding safety. If rawSql is not able to parse the results of your query back, then an exception is raised. However, most common problems are mitigated by using the entity selection placeholder ??, and you shouldn't see any error at all if you're not using Single.

Some example of rawSql based on this schema:

share [mkPersist sqlSettings, mkMigrate "migrateAll"] [persistLowerCase|
Person
    name String
    age Int Maybe
    deriving Show
BlogPost
    title String
    authorId PersonId
    deriving Show
|]

Examples based on the above schema:

getPerson :: MonadIO m => ReaderT SqlBackend m [Entity Person]
getPerson = rawSql "select ?? from person where name=?" [PersistText "john"]

getAge :: MonadIO m => ReaderT SqlBackend m [Single Int]
getAge = rawSql "select person.age from person where name=?" [PersistText "john"]

getAgeName :: MonadIO m => ReaderT SqlBackend m [(Single Int, Single Text)]
getAgeName = rawSql "select person.age, person.name from person where name=?" [PersistText "john"]

getPersonBlog :: MonadIO m => ReaderT SqlBackend m [(Entity Person, Entity BlogPost)]
getPersonBlog = rawSql "select ??,?? from person,blog_post where person.id = blog_post.author_id" []

Minimal working program for PostgreSQL backend based on the above concepts:

{-# LANGUAGE EmptyDataDecls             #-}
{-# LANGUAGE FlexibleContexts           #-}
{-# LANGUAGE GADTs                      #-}
{-# LANGUAGE GeneralizedNewtypeDeriving #-}
{-# LANGUAGE MultiParamTypeClasses      #-}
{-# LANGUAGE OverloadedStrings          #-}
{-# LANGUAGE QuasiQuotes                #-}
{-# LANGUAGE TemplateHaskell            #-}
{-# LANGUAGE TypeFamilies               #-}

import           Control.Monad.IO.Class  (liftIO)
import           Control.Monad.Logger    (runStderrLoggingT)
import           Database.Persist
import           Control.Monad.Reader
import           Data.Text
import           Database.Persist.Sql
import           Database.Persist.Postgresql
import           Database.Persist.TH

share [mkPersist sqlSettings, mkMigrate "migrateAll"] [persistLowerCase|
Person
    name String
    age Int Maybe
    deriving Show
|]

conn = "host=localhost dbname=new_db user=postgres password=postgres port=5432"

getPerson :: MonadIO m => ReaderT SqlBackend m [Entity Person]
getPerson = rawSql "select ?? from person where name=?" [PersistText "sibi"]

liftSqlPersistMPool y x = liftIO (runSqlPersistMPool y x)

main :: IO ()
main = runStderrLoggingT $ withPostgresqlPool conn 10 $ liftSqlPersistMPool $ do
         runMigration migrateAll
         xs <- getPerson
         liftIO (print xs)
valueacquireSqlConn :: (MonadReader backend m, BackendCompatible SqlBackend backend) => m (Acquire backend)
#

Starts a new transaction on the connection. When the acquired connection is released the transaction is committed and the connection returned to the pool.

Upon an exception the transaction is rolled back and the connection destroyed.

This is equivalent to runSqlConn but does not incur the MonadUnliftIO constraint, meaning it can be used within, for example, a Conduit pipeline.

valuerunSqlPool
  1. :: (MonadUnliftIO m, BackendCompatible SqlBackend backend)
  2. => ReaderT backend m a
  3. -> Pool backend
  4. -> m a
#

Get a connection from the pool, run the given action, and then return the connection to the pool.

This function performs the given action in a transaction. If an exception occurs during the action, then the transaction is rolled back.

Note: This function previously timed out after 2 seconds, but this behavior was buggy and caused more problems than it solved. Since version 2.1.2, it performs no timeout checks.

valuerunSqlPoolWithHooks
  1. :: (MonadUnliftIO m, BackendCompatible SqlBackend backend)
  2. => ReaderT backend m a
  3. -> Pool backend
  4. -> Maybe IsolationLevel
  5. -> (backend -> m before)

    Run this action immediately before the action is performed.

  6. -> (backend -> m after)

    Run this action immediately after the action is completed.

  7. -> (backend -> SomeException -> m onException)

    This action is performed when an exception is received. The exception is provided as a convenience - it is rethrown once this cleanup function is complete.

  8. -> m a
#

This function is how runSqlPool and runSqlPoolNoTransaction are defined. In addition to the action to be performed and the Pool of conections to use, we give you the opportunity to provide three actions - initialize, afterwards, and onException.

valuewithSqlConn
  1. :: (MonadUnliftIO m, MonadLoggerIO m, BackendCompatible SqlBackend backend)
  2. => LogFunc -> IO backend
  3. -> backend -> m a
  4. -> m a
#

Create a connection and run sql queries within it. This function automatically closes the connection on it's completion.

Example usage
{-# LANGUAGE GADTs #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE TypeFamilies#-}
{-# LANGUAGE TemplateHaskell#-}
{-# LANGUAGE QuasiQuotes#-}
{-# LANGUAGE GeneralizedNewtypeDeriving #-}

import Control.Monad.IO.Class  (liftIO)
import Control.Monad.Logger
import Conduit
import Database.Persist
import Database.Sqlite
import Database.Persist.Sqlite
import Database.Persist.TH

share [mkPersist sqlSettings, mkMigrate "migrateAll"] [persistLowerCase|
Person
  name String
  age Int Maybe
  deriving Show
|]

openConnection :: LogFunc -> IO SqlBackend
openConnection logfn = do
 conn <- open "/home/sibi/test.db"
 wrapConnection conn logfn

main :: IO ()
main = do
  runNoLoggingT $ runResourceT $ withSqlConn openConnection (\backend ->
                                      flip runSqlConn backend $ do
                                        runMigration migrateAll
                                        insert_ $ Person "John doe" $ Just 35
                                        insert_ $ Person "Divya" $ Just 36
                                        (pers :: [Entity Person]) <- selectList [] []
                                        liftIO $ print pers
                                        return ()
                                     )

On executing it, you get this output:

Migrating: CREATE TABLE "person"("id" INTEGER PRIMARY KEY,"name" VARCHAR NOT NULL,"age" INTEGER NULL)
[Entity {entityKey = PersonKey {unPersonKey = SqlBackendKey {unSqlBackendKey = 1}}, entityVal = Person {personName = "John doe", personAge = Just 35}},Entity {entityKey = PersonKey {unPersonKey = SqlBackendKey {unSqlBackendKey = 2}}, entityVal = Person {personName = "Hema", personAge = Just 36}}]
typetype PersistStore a = PersistStoreWrite a
#

A backwards-compatible alias for those that don't care about distinguishing between read and write queries. It signifies the assumption that, by default, a backend can write as well as read.

A backwards-compatible alias for those that don't care about distinguishing between read and write queries. It signifies the assumption that, by default, a backend can write as well as read.

classclass PersistConfig c where
#

Represents a value containing all the configuration options for a specific backend. This abstraction makes it easier to write code that can easily swap backends.

Associated types

Methods

Instances1PersistConfig
datadata Entity record
#

Datatype that represents an entity, with both its Key and its Haskell record representation.

When using a SQL-based backend (such as SQLite or PostgreSQL), an Entity may take any number of columns depending on how many fields it has. In order to reconstruct your entity on the Haskell side, persistent needs all of your entity columns and in the right order. Note that you don't need to worry about this when using persistent's API since everything is handled correctly behind the scenes.

However, if you want to issue a raw SQL command that returns an Entity, then you have to be careful with the column order. While you could use SELECT Entity.* WHERE ... and that would work most of the time, there are times when the order of the columns on your database is different from the order that persistent expects (for example, if you add a new field in the middle of you entity definition and then use the migration code -- persistent will expect the column to be in the middle, but your DBMS will put it as the last column). So, instead of using a query like the one above, you may use rawSql (from the Database.Persist.Sql module) with its /entity selection placeholder/ (a double question mark ??). Using rawSql the query above must be written as SELECT ?? WHERE ... Then rawSql will replace ?? with the list of all columns that we need from your entity in the right order. If your query returns two entities (i.e. (Entity backend a, Entity backend b)), then you must you use SELECT ??, ?? WHERE ..., and so on.

Constructors

Instances26HasField, Eq, Ord, Read, Show, Generic, …
familydata family EntityField record :: Type -> Type
#

An EntityField is parameterised by the Haskell record it belongs to and the additional type of that field.

As of persistent-2.11.0.0, it's possible to use the OverloadedLabels language extension to refer to EntityField values polymorphically. See the documentation on SymbolToField for more information.

Instances1IsLabel
familydata family Key record
#

By default, a backend will automatically generate the key Instead you can specify a Primary key made up of unique values.

Instances1RawSql
classclass (PersistField (Key record), ToJSON (Key record), FromJSON (Key record), Show (Key record), Read (Key record), Eq (Key record), Ord (Key record)) => PersistEntity record where
#

Persistent serialized Haskell records to the database. A Database Entity (A row in SQL, a document in MongoDB, etc) corresponds to a Key plus a Haskell record.

For every Haskell record type stored in the database there is a corresponding PersistEntity instance. An instance of PersistEntity contains meta-data for the record. PersistEntity also helps abstract over different record types. That way the same query interface can return a PersistEntity, with each query returning different types of Haskell records.

Some advanced type system capabilities are used to make this process type-safe. Persistent users usually don't need to understand the class associated data and functions.

Associated types

  • type family PersistEntityBackend record

    Persistent allows multiple different backends (databases).

  • data family Key record

    By default, a backend will automatically generate the key Instead you can specify a Primary key made up of unique values.

  • data family EntityField record :: Type -> Type

    An EntityField is parameterised by the Haskell record it belongs to and the additional type of that field.

    As of persistent-2.11.0.0, it's possible to use the OverloadedLabels language extension to refer to EntityField values polymorphically. See the documentation on SymbolToField for more information.

  • data family Unique record

    Unique keys besides the Key.

Methods

familytype family PersistEntityBackend record
#

Persistent allows multiple different backends (databases).

classclass SafeToInsert a
#

A type class which is used to witness that a type is safe to insert into the database without providing a primary key.

The TemplateHaskell function mkPersist will generate instances of this class for any entity that it works on. If the entity has a default primary key, then it provides a regular instance. If the entity has a Primary natural key, then this works fine. But if the entity has an Id column with no default=, then this does a TypeError and forces the user to use insertKey.

Instances2SafeToInsert
  • TypeError (EntityErrorMessage a) => SafeToInsert (Entity a)Defined in persistent-2.18.1.0 · Database.Persist.Class.PersistEntity
  • TypeError (FunctionErrorMessage a b) => SafeToInsert (a -> b)Defined in persistent-2.18.1.0 · Database.Persist.Class.PersistEntity
classclass SymbolToField (sym :: Symbol) rec typ | sym rec -> typ where
#

This type class is used with the OverloadedLabels extension to provide a more convenient means of using the EntityField type. EntityField definitions are prefixed with the type name to avoid ambiguity, but this ambiguity can result in verbose code.

If you have a table User with a name Text field, then the corresponding EntityField is UserName. With this, we can write #name :: EntityField User Text.

What's more fun is that the type is more general: it's actually #name :: (SymbolToField "name" rec typ) => EntityField rec typ

Which means it is *polymorphic* over the actual record. This allows you to write code that can be generic over the tables, provided they have the right fields.

Methods

familydata family Unique record
#

Unique keys besides the Key.

Instances1FinalResult
  • FinalResult (Unique val)Defined in esqueleto-3.6.0.3 · Database.Esqueleto.Internal.Internal
newtypenewtype OverflowNatural
#

Prior to persistent-2.11.0, we provided an instance of PersistField for the Natural type. This was in error, because Natural represents an infinite value, and databases don't have reasonable types for this.

The instance for Natural used the Int64 underlying type, which will cause underflow and overflow errors. This type has the exact same code in the instances, and will work seamlessly.

A more appropriate type for this is the Word series of types from Data.Word. These have a bounded size, are guaranteed to be non-negative, and are quite efficient for the database to store.

Instances6Eq, Num, Ord, Show, PersistField, PersistFieldSql
  • Eq OverflowNaturalDefined in persistent-2.18.1.0 · Database.Persist.Class.PersistField
  • Num OverflowNaturalDefined in persistent-2.18.1.0 · Database.Persist.Class.PersistField
  • Ord OverflowNaturalDefined in persistent-2.18.1.0 · Database.Persist.Class.PersistField
  • Show OverflowNaturalDefined in persistent-2.18.1.0 · Database.Persist.Class.PersistField
  • PersistField OverflowNaturalDefined in persistent-2.18.1.0 · Database.Persist.Class.PersistField
  • PersistFieldSql OverflowNaturalDefined in persistent-2.18.1.0 · Database.Persist.Sql.Class

    This type uses the SqlInt64 version, which will exhibit overflow and underflow behavior. Additionally, it permits negative values in the database, which isn't ideal.

classclass PersistField a where
#

This class teaches Persistent how to take a custom type and marshal it to and from a PersistValue, allowing it to be stored in a database.

Examples
Simple Newtype

You can use newtype to add more type safety/readability to a basis type like ByteString. In these cases, just derive PersistField and PersistFieldSql:

{-# LANGUAGE GeneralizedNewtypeDeriving #-}

newtype HashedPassword = HashedPassword ByteString
  deriving (Eq, Show, PersistField, PersistFieldSql)
Smart Constructor Newtype

In this example, we create a PersistField instance for a newtype following the "Smart Constructor" pattern.

{-# LANGUAGE GeneralizedNewtypeDeriving #-}
import qualified Data.Text as T
import qualified Data.Char as C

-- | An American Social Security Number
newtype SSN = SSN Text
 deriving (Eq, Show, PersistFieldSql)

mkSSN :: Text -> Either Text SSN
mkSSN t = if (T.length t == 9) && (T.all C.isDigit t)
 then Right $ SSN t
 else Left $ "Invalid SSN: " <> t

instance PersistField SSN where
  toPersistValue (SSN t) = PersistText t
  fromPersistValue (PersistText t) = mkSSN t
  -- Handle cases where the database does not give us PersistText
  fromPersistValue x = Left $ "File.hs: When trying to deserialize an SSN: expected PersistText, received: " <> T.pack (show x)

Tips:

  • This file contain dozens of PersistField instances you can look at for examples.

  • Typically custom PersistField instances will only accept a single PersistValue constructor in fromPersistValue.

  • Internal PersistField instances accept a wide variety of PersistValues to accomodate e.g. storing booleans as integers, booleans or strings.

  • If you're making a custom instance and using a SQL database, you'll also need PersistFieldSql to specify the type of the database column.

Instances39PersistField, …
classclass (PersistCore backend, PersistStoreRead backend) => PersistQueryRead backend where
#

Backends supporting conditional read operations.

Methods

Instances4PersistQueryRead
classclass (PersistQueryRead backend, PersistStoreWrite backend) => PersistQueryWrite backend where
#

Backends supporting conditional write operations

Methods

Instances3PersistQueryWrite
classclass BackendCompatible sup sub where
#

This class witnesses that two backend are compatible, and that you can convert from the sub backend into the sup backend. This is similar to the HasPersistBackend and IsPersistBackend classes, but where you don't want to fix the type associated with the PersistEntityBackend of a record.

Generally speaking, where you might have:

foo ::
  ( PersistEntity record
  , PersistEntityBackend record ~ BaseBackend backend
  , IsSqlBackend backend
  )

this can be replaced with:

foo ::
  ( PersistEntity record,
  , PersistEntityBackend record ~ backend
  , BackendCompatible SqlBackend backend
  )

This works for SqlReadBackend because of the instance BackendCompatible SqlBackend SqlReadBackend, without needing to go through the BaseBackend type family.

Likewise, functions that are currently hardcoded to use SqlBackend can be generalized:

-- before:
asdf :: ReaderT SqlBackend m ()
asdf = pure ()

-- after:
asdf' :: BackendCompatible SqlBackend backend => ReaderT backend m ()
asdf' = withCompatibleBackend asdf

Methods

Instances3BackendCompatible
familydata family BackendKey backend
#
Instances71Bounded, Enum, Eq, Integral, Num, Ord, …
familytype family BaseBackend backend
#
Instances4BaseBackend
classclass HasPersistBackend backend where
#

Class which allows the plucking of a BaseBackend backend from some larger type. For example, instance HasPersistBackend (SqlReadBackend, Int) where type BaseBackend (SqlReadBackend, Int) = SqlBackend persistBackend = unSqlReadBackend . fst

Associated types

Methods

Instances4HasPersistBackend
classclass HasPersistBackend backend => IsPersistBackend backend where
#

Class which witnesses that backend is essentially the same as BaseBackend backend. That is, they're isomorphic and backend is just some wrapper over BaseBackend backend.

Instances3IsPersistBackend
classclass PersistCore backend where
#

Associated types

Instances4PersistCore
classclass (Show (BackendKey backend), Read (BackendKey backend), Eq (BackendKey backend), Ord (BackendKey backend), PersistCore backend, PersistField (BackendKey backend), ToJSON (BackendKey backend), FromJSON (BackendKey backend)) => PersistStoreRead backend where
#

Methods

  • get :: (MonadIO m, PersistRecordBackend record backend) => Key record -> ReaderT backend m (Maybe record)

    Get a record by identifier, if available.

    Example usage

    With schema-1 and dataset-1,

    getSpj :: MonadIO m => ReaderT SqlBackend m (Maybe User)
    getSpj = get spjId
    mspj <- getSpj

    The above query when applied on dataset-1, will get this:

    +------+-----+
    | name | age |
    +------+-----+
    | SPJ  |  40 |
    +------+-----+
  • getMany :: (MonadIO m, PersistRecordBackend record backend) => [Key record] -> ReaderT backend m (Map (Key record) record)

    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 |
    +----+-------+-----+
Instances4PersistStoreRead
classclass (Show (BackendKey backend), Read (BackendKey backend), Eq (BackendKey backend), Ord (BackendKey backend), PersistStoreRead backend, PersistField (BackendKey backend), ToJSON (BackendKey backend), FromJSON (BackendKey backend)) => PersistStoreWrite backend where
#

Methods

  • insert :: (MonadIO m, PersistRecordBackend record backend, SafeToInsert record) => record -> ReaderT backend m (Key record)

    Create a new record in the database, returning an automatically created key (in SQL an auto-increment id).

    Example usage

    Using schema-1 and dataset-1, let's insert a new user John.

    insertJohn :: MonadIO m => ReaderT SqlBackend m (Key User)
    insertJohn = insert $ User "John" 30
    johnId <- insertJohn

    The above query when applied on dataset-1, will produce this:

    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |SPJ   |40   |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
    |3    |John  |30   |
    +-----+------+-----+
  • insert_ :: (MonadIO m, PersistRecordBackend record backend, SafeToInsert record) => record -> ReaderT backend m ()

    Same as insert, but doesn't return a Key.

    Example usage

    with schema-1 and dataset-1,

    insertJohn :: MonadIO m => ReaderT SqlBackend m (Key User)
    insertJohn = insert_ $ User "John" 30

    The above query when applied on dataset-1, will produce this:

    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |SPJ   |40   |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
    |3    |John  |30   |
    +-----+------+-----+
  • insertMany :: (MonadIO m, PersistRecordBackend record backend, SafeToInsert record) => [record] -> ReaderT backend m [Key record]

    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   |
    +-----+------+-----+
  • insertMany_ :: (MonadIO m, PersistRecordBackend record backend, SafeToInsert record) => [record] -> ReaderT backend m ()

    Same as insertMany, but doesn't return any Keys.

    The MongoDB, PostgreSQL, SQLite and MySQL backends insert all records in one database query.

    Example usage

    With schema-1 and dataset-1,

    insertUsers_ :: MonadIO m => ReaderT SqlBackend m ()
    insertUsers_ = insertMany_ [User "John" 30, User "Nick" 32, User "Jane" 20]

    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   |
    +-----+------+-----+
  • insertEntityMany :: (MonadIO m, PersistRecordBackend record backend) => [Entity record] -> ReaderT backend m ()

    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   |
    +-----+------+-----+
  • insertKey :: (MonadIO m, PersistRecordBackend record backend) => Key record -> record -> ReaderT backend m ()

    Create a new record in the database using the given key.

    Example usage

    With schema-1 and dataset-1,

    insertAliceKey :: MonadIO m => Key User -> ReaderT SqlBackend m ()
    insertAliceKey key = insertKey key $ User "Alice" 20
    insertAliceKey $ UserKey {unUserKey = SqlBackendKey {unSqlBackendKey = 3}}

    The above query when applied on dataset-1, will produce this:

    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |SPJ   |40   |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
    |3    |Alice |20   |
    +-----+------+-----+
  • repsert :: (MonadIO m, PersistRecordBackend record backend) => Key record -> record -> ReaderT backend m ()

    Put the record in the database with the given key. Unlike replace, if a record with the given key does not exist then a new record will be inserted.

    Example usage

    We try to explain upsertBy using schema-1 and dataset-1.

    First, we insert Philip to dataset-1.

    insertPhilip :: MonadIO m => ReaderT SqlBackend m (Key User)
    insertPhilip = insert $ User "Philip" 42
    philipId <- insertPhilip

    This query will produce:

    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |SPJ   |40   |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
    |3    |Philip|42   |
    +-----+------+-----+
    repsertHaskell :: MonadIO m => Key record -> ReaderT SqlBackend m ()
    repsertHaskell id = repsert id $ User "Haskell" 81
    repsertHaskell philipId

    This query will replace Philip's record with Haskell's one:

    +-----+-----------------+--------+
    |id   |name             |age     |
    +-----+-----------------+--------+
    |1    |SPJ              |40      |
    +-----+-----------------+--------+
    |2    |Simon            |41      |
    +-----+-----------------+--------+
    |3    |Philip -> Haskell|42 -> 81|
    +-----+-----------------+--------+

    repsert inserts the given record if the key doesn't exist.

    repsertXToUnknown :: MonadIO m => ReaderT SqlBackend m ()
    repsertXToUnknown = repsert unknownId $ User "X" 999

    For example, applying the above query to dataset-1 will produce this:

    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |SPJ   |40   |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
    |3    |X     |999  |
    +-----+------+-----+
  • repsertMany :: (MonadIO m, PersistRecordBackend record backend) => [(Key record, record)] -> ReaderT backend m ()

    Put many entities into the database.

    Batch version of repsert for SQL backends.

    Useful when migrating data from one entity to another and want to preserve ids.

    Example usage

    With schema-1 and dataset-1,

    repsertManyUsers :: MonadIO m =>ReaderT SqlBackend m ()
    repsertManyusers = repsertMany [(simonId, User "Philip" 20), (unknownId999, User "Mr. X" 999)]

    The above query when applied on dataset-1, will produce this:

    +-----+----------------+---------+
    |id   |name            |age      |
    +-----+----------------+---------+
    |1    |SPJ             |40       |
    +-----+----------------+---------+
    |2    |Simon -> Philip |41 -> 20 |
    +-----+----------------+---------+
    |999  |Mr. X           |999      |
    +-----+----------------+---------+
  • replace :: (MonadIO m, PersistRecordBackend record backend) => Key record -> record -> ReaderT backend m ()

    Replace the record in the database with the given key. Note that the result is undefined if such record does not exist, so you must use insertKey or repsert in these cases.

    Example usage

    With schema-1 schama-1 and dataset-1,

    replaceSpj :: MonadIO m => User -> ReaderT SqlBackend m ()
    replaceSpj record = replace spjId record

    The above query when applied on dataset-1, will produce this:

    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |Mike  |45   |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
  • updateGet :: (MonadIO m, PersistRecordBackend record backend) => Key record -> [Update record] -> ReaderT backend m record

    Update individual fields on a specific record, and retrieve the updated value from the database.

    Note that this function will throw an exception if the given key is not found in the database.

    Example usage

    With schema-1 and dataset-1,

    updateGetSpj :: MonadIO m => [Update User] -> ReaderT SqlBackend m User
    updateGetSpj updates = updateGet spjId updates
    spj <- updateGetSpj [UserAge +=. 100]

    The above query when applied on dataset-1, will produce this:

    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |SPJ   |140  |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
Instances3PersistStoreWrite
classclass (PersistEntity record, PersistEntityBackend record ~ backend, PersistCore backend) => ToBackendKey backend record where
#

ToBackendKey converts a PersistEntity Key into a BackendKey This can be used by each backend to convert between a Key and a plain Haskell type. For Sql, that is done with toSqlKey and fromSqlKey.

By default, a PersistEntity uses the default BackendKey for its Key and is an instance of ToBackendKey

A Key that instead uses a custom type will not be an instance of ToBackendKey.

Methods

classclass PersistEntity record => AtLeastOneUniqueKey record where
#

This class is used to ensure that functions requring at least one unique key are not called with records that have 0 unique keys. The quasiquoter automatically writes working instances for appropriate entities, and generates TypeError instances for records that have 0 unique keys.

Methods

typetype MultipleUniqueKeysError ty = ((('Text "The entity " ':<>: 'ShowType ty) ':<>: 'Text " has multiple unique keys.") ':$$: ('Text "The function you are trying to call requires only a single " ':<>: 'Text "unique key.")) ':$$: (('Text "There is probably a variant of the function with 'By' " ':<>: 'Text "appended that will allow you to select a unique key ") ':<>: 'Text "for the operation.")
#

This is an error message. It is used when an entity has multiple unique keys, and the function expects a single unique key.

classclass PersistEntity record => OnlyOneUniqueKey record where
#

This class is used to ensure that upsert is only called on records that have a single Unique key. The quasiquoter automatically generates working instances for appropriate records, and generates TypeError instances for records that have 0 or multiple unique keys.

Methods

classclass PersistStoreRead backend => PersistUniqueRead backend where
#

Queries against Unique keys (other than the id Key).

Please read the general Persistent documentation to learn how to create Unique keys.

Using this with an Entity without a Unique key leads to undefined behavior. A few of these functions require a single Unique, so using an Entity with multiple Uniques is also undefined. In these cases persistent's goal is to throw an exception as soon as possible, but persistent is still transitioning to that.

SQL backends automatically create uniqueness constraints, but for MongoDB you must manually place a unique index on a field to have a uniqueness constraint.

Methods

  • getBy :: (MonadIO m, PersistRecordBackend record backend) => Unique record -> ReaderT backend m (Maybe (Entity record))

    Get a record by unique key, if available. Returns also the identifier.

    If your unique key contains a nullable field, then, by default, getBy will not match if any of the fields are NULL.

    Example usage

    With schema-1 and dataset-1:

    getBySpjName :: MonadIO m  => ReaderT SqlBackend m (Maybe (Entity User))
    getBySpjName = getBy $ UniqueUserName "SPJ"
    mSpjEnt <- getBySpjName

    The above query when applied on dataset-1, will get this entity:

    +----+------+-----+
    | id | name | age |
    +----+------+-----+
    |  1 | SPJ  |  40 |
    +----+------+-----+
  • existsBy :: (MonadIO m, PersistRecordBackend record backend) => Unique record -> ReaderT backend m Bool

    Returns True if a record with this unique key exists, otherwise False.

    Example usage

    With schema-1 and dataset-1:

    existsBySpjName :: MonadIO m  => ReaderT SqlBackend m Bool
    existsBySpjName = existsBy $ UniqueUserName "SPJ"
    spjEntExists <- existsBySpjName

    The above query when applied on dataset-1, will return the value True.

Instances4PersistUniqueRead
classclass (PersistUniqueRead backend, PersistStoreWrite backend) => PersistUniqueWrite backend where
#

Some functions in this module (insertUnique, insertBy, and replaceUnique) first query the unique indexes to check for conflicts. You could instead optimistically attempt to perform the operation (e.g. replace instead of replaceUnique). However,

  • there is some fragility to trying to catch the correct exception and determing the column of failure;

  • an exception will automatically abort the current SQL transaction.

Methods

  • deleteBy :: (MonadIO m, PersistRecordBackend record backend) => Unique record -> ReaderT backend m ()

    Delete a specific record by unique key. Does nothing if no record matches.

    Example usage

    With schema-1 and dataset-1,

    deleteBySpjName :: MonadIO m => ReaderT SqlBackend m ()
    deleteBySpjName = deleteBy (UniqueUserName "SPJ")

    The above query when applied on dataset-1, will produce this:

    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
  • insertUnique :: (MonadIO m, PersistRecordBackend record backend, SafeToInsert record) => record -> ReaderT backend m (Maybe (Key record))

    Like insert, but returns Nothing when the record couldn't be inserted because of a uniqueness constraint.

    Example usage

    With schema-1 and dataset-1, we try to insert the following two records:

    linusId <- insertUnique $ User "Linus" 48
    spjId   <- insertUnique $ User "SPJ" 90
    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |SPJ   |40   |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
    |3    |Linus |48   |
    +-----+------+-----+

    Linus's record was inserted to dataset-1, while SPJ wasn't because SPJ already exists in dataset-1.

  • insertUnique_ :: (MonadIO m, PersistRecordBackend record backend, SafeToInsert record) => record -> ReaderT backend m (Maybe ())

    Same as insertUnique but doesn't return a Key.

    Example usage

    With schema-1 and dataset-1, we try to insert the following two records:

    linusId <- insertUnique_ $ User "Linus" 48
    spjId   <- insertUnique_ $ User "SPJ" 90
    +-----+------+-----+
    |id   |name  |age  |
    +-----+------+-----+
    |1    |SPJ   |40   |
    +-----+------+-----+
    |2    |Simon |41   |
    +-----+------+-----+
    |3    |Linus |48   |
    +-----+------+-----+

    Linus's record was inserted to dataset-1, while SPJ wasn't because SPJ already exists in dataset-1.

  • upsert :: (MonadIO m, PersistRecordBackend record backend, OnlyOneUniqueKey record, SafeToInsert record) => record -> [Update record] -> ReaderT backend m (Entity record)

    Update based on a uniqueness constraint or insert:

    • insert the new record if it does not exist;

    • If the record exists (matched via it's uniqueness constraint), then update the existing record with the parameters which is passed on as list to the function.

    Example usage

    First, we try to explain upsert using schema-1 and dataset-1.

    upsertSpj :: MonadIO m => [Update User] -> ReaderT SqlBackend m (Maybe (Entity User))
    upsertSpj updates = upsert (User "SPJ" 999) updates
    mSpjEnt <- upsertSpj [UserAge +=. 15]

    The above query when applied on dataset-1, will produce this:

    +-----+-----+--------+
    |id   |name |age     |
    +-----+-----+--------+
    |1    |SPJ  |40 -> 55|
    +-----+-----+--------+
    |2    |Simon|41      |
    +-----+-----+--------+
    upsertX :: MonadIO m => [Update User] -> ReaderT SqlBackend m (Maybe (Entity User))
    upsertX updates = upsert (User "X" 999) updates
    mXEnt <- upsertX [UserAge +=. 15]

    The above query when applied on dataset-1, will produce this:

    +-----+-----+--------+
    |id   |name |age     |
    +-----+-----+--------+
    |1    |SPJ  |40      |
    +-----+-----+--------+
    |2    |Simon|41      |
    +-----+-----+--------+
    |3    |X    |999     |
    +-----+-----+--------+

    Next, what if the schema has two uniqueness constraints? Let's check it out using schema-2:

    mSpjEnt <- upsertSpj [UserAge +=. 15]

    This fails with a compile-time type error alerting us to the fact that this record has multiple unique keys, and suggests that we look for upsertBy to select the unique key we want.

  • upsertBy :: (MonadIO m, PersistRecordBackend record backend, SafeToInsert record) => Unique record -> record -> [Update record] -> ReaderT backend m (Entity record)

    Update based on a given uniqueness constraint or insert:

    • insert the new record if it does not exist;

    • update the existing record that matches the given uniqueness constraint.

    Example usage

    We try to explain upsertBy using schema-2 and dataset-1.

    upsertBySpjName :: MonadIO m => User -> [Update User] -> ReaderT SqlBackend m (Entity User)
    upsertBySpjName record updates = upsertBy (UniqueUserName "SPJ") record updates
    mSpjEnt <- upsertBySpjName (Person "X" 999) [PersonAge += .15]

    The above query will alter dataset-1 to:

    +-----+-----+--------+
    |id   |name |age     |
    +-----+-----+--------+
    |1    |SPJ  |40 -> 55|
    +-----+-----+--------+
    |2    |Simon|41      |
    +-----+-----+--------+
    upsertBySimonAge :: MonadIO m => User -> [Update User] -> ReaderT SqlBackend m (Entity User)
    upsertBySimonAge record updates = upsertBy (UniqueUserName "SPJ") record updates
    mPhilipEnt <- upsertBySimonAge (User "X" 999) [UserName =. "Philip"]

    The above query will alter dataset-1 to:

    +----+-----------------+-----+
    | id |      name       | age |
    +----+-----------------+-----+
    |  1 | SPJ             |  40 |
    +----+-----------------+-----+
    |  2 | Simon -> Philip |  41 |
    +----+-----------------+-----+
    upsertByUnknownName :: MonadIO m => User -> [Update User] -> ReaderT SqlBackend m (Entity User)
    upsertByUnknownName record updates = upsertBy (UniqueUserName "Unknown") record updates
    mXEnt <- upsertByUnknownName (User "X" 999) [UserAge +=. 15]

    This query will alter dataset-1 to:

    +-----+-----+-----+
    |id   |name |age  |
    +-----+-----+-----+
    |1    |SPJ  |40   |
    +-----+-----+-----+
    |2    |Simon|41   |
    +-----+-----+-----+
    |3    |X    |999  |
    +-----+-----+-----+
  • putMany :: (MonadIO m, PersistRecordBackend record backend, SafeToInsert record) => [record] -> ReaderT backend m ()

    Put many records into db

    • insert new records that do not exist (or violate any unique constraints)

    • replace existing records (matching any unique constraint)

Instances3PersistUniqueWrite
newtypenewtype ConstraintNameDB
#

A ConstraintNameDB represents the datastore-side name that persistent will use for a constraint.

Instances6Eq, Ord, Read, Show, DatabaseName, Lift
newtypenewtype ConstraintNameHS
#

An ConstraintNameHS represents the Haskell-side name that persistent will use for a constraint.

Instances5Eq, Ord, Read, Show, Lift
newtypenewtype EntityNameDB
#

An EntityNameDB represents the datastore-side name that persistent will use for an entity.

Instances6Eq, Ord, Read, Show, DatabaseName, Lift
newtypenewtype EntityNameHS
#

An EntityNameHS represents the Haskell-side name that persistent will use for an entity.

Instances5Eq, Ord, Read, Show, Lift
newtypenewtype FieldNameDB
#

A FieldNameDB represents the datastore-side name that persistent will use for a field.

Instances6Eq, Ord, Read, Show, DatabaseName, Lift
newtypenewtype FieldNameHS
#

A FieldNameHS represents the Haskell-side name that persistent will use for a field.

Instances5Eq, Ord, Read, Show, Lift
datadata LiteralType
#

A type that determines how a backend should handle the literal.

Constructors

  • Escaped

    The accompanying value will be escaped before inserting into the database. This is the correct default choice to use.

  • Unescaped

    The accompanying value will not be escaped when inserting into the database. This is potentially dangerous - use this with care.

  • DbSpecific

    The DbSpecific constructor corresponds to the legacy PersistDbSpecific constructor. We need to keep this around because old databases may have serialized JSON representations that reference this. We don't want to break the ability of a database to load rows.

Instances4Eq, Ord, Read, Show
  • Eq LiteralTypeDefined in persistent-2.18.1.0 · Database.Persist.PersistValue
  • Ord LiteralTypeDefined in persistent-2.18.1.0 · Database.Persist.PersistValue
  • Read LiteralTypeDefined in persistent-2.18.1.0 · Database.Persist.PersistValue
  • Show LiteralTypeDefined in persistent-2.18.1.0 · Database.Persist.PersistValue
datadata PersistValue
#

A raw value which can be stored in any backend and can be marshalled to and from a PersistField.

Constructors

Instances12Eq, Ord, Read, Show, NFData, FromJSON, …
patternpattern PersistDbSpecific :: ByteString -> PersistValue
#

Deprecated. Deprecated since 2.11 because of inconsistent escaping behavior across backends. The Postgres backend escapes these values, while the MySQL backend does not. If you are using this, please switch to PersistLiteral_ and provide a relevant LiteralType for your conversion.

This pattern synonym used to be a data constructor for the PersistValue type. It was changed to be a pattern so that JSON-encoded database values could be parsed into their corresponding values. You should not use this, and instead prefer to pattern match on PersistLiteral_ directly.

If you use this, it will overlap a patern match on the 'PersistLiteral_, PersistLiteral, and PersistLiteralEscaped patterns. If you need to disambiguate between these constructors, pattern match on PersistLiteral_ directly.

newtypenewtype EntityWithPrefix (prefix :: Symbol) record
#

This newtype wrapper is useful when selecting an entity out of the database and you want to provide a prefix to the table being selected.

Consider this raw SQL query:

SELECT ??
FROM my_long_table_name AS mltn
INNER JOIN other_table AS ot
   ON mltn.some_col = ot.other_col
WHERE ...

We don't want to refer to my_long_table_name every time, so we create an alias. If we want to select it, we have to tell the raw SQL quasi-quoter that we expect the entity to be prefixed with some other name.

We can give the above query a type with this, like:

getStuff :: SqlPersistM [EntityWithPrefix "mltn" MyLongTableName]
getStuff = rawSql queryText []

The EntityWithPrefix bit is a boilerplate newtype wrapper, so you can remove it with unPrefix, like this:

getStuff :: SqlPersistM [Entity MyLongTableName]
getStuff = unPrefix @"mltn" <$> rawSql queryText []

The symbol is a "type application" and requires the TypeApplications@ language extension.

Instances1RawSql
classclass PersistField a => PersistFieldSql a where
#

Tells Persistent what database column type should be used to store a Haskell type.

Examples
Simple Boolean Alternative
data Switch = On | Off
  deriving (Show, Eq)

instance PersistField Switch where
  toPersistValue s = case s of
    On -> PersistBool True
    Off -> PersistBool False
  fromPersistValue (PersistBool b) = if b then Right On else Right Off
  fromPersistValue x = Left $ "File.hs: When trying to deserialize a Switch: expected PersistBool, received: " <> T.pack (show x)

instance PersistFieldSql Switch where
  sqlType _ = SqlBool
Non-Standard Database Types

If your database supports non-standard types, such as Postgres' uuid, you can use SqlOther to use them:

import qualified Data.UUID as UUID
instance PersistField UUID where
  toPersistValue = PersistLiteralEncoded . toASCIIBytes
  fromPersistValue (PersistLiteralEncoded uuid) =
    case fromASCIIBytes uuid of
      Nothing -> Left $ "Model/CustomTypes.hs: Failed to deserialize a UUID; received: " <> T.pack (show uuid)
      Just uuid' -> Right uuid'
  fromPersistValue x = Left $ "File.hs: When trying to deserialize a UUID: expected PersistLiteralEncoded, received: "-- >  <> T.pack (show x)

instance PersistFieldSql UUID where
  sqlType _ = SqlOther "uuid"
User Created Database Types

Similarly, some databases support creating custom types, e.g. Postgres' DOMAIN and ENUM features. You can use SqlOther to specify a custom type:

CREATE DOMAIN ssn AS text
      CHECK ( value ~ '^[0-9]{9}$');
instance PersistFieldSQL SSN where
  sqlType _ = SqlOther "ssn"
CREATE TYPE rainbow_color AS ENUM ('red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet');
instance PersistFieldSQL RainbowColor where
  sqlType _ = SqlOther "rainbow_color"

Methods

Instances38PersistFieldSql, …
classclass RawSql a where
#

Class for data types that may be retrived from a rawSql query.

Methods

Instances66RawSql, …

Record of functions to override the default behavior in mkColumns. It is recommended you initialize this with emptyBackendSpecificOverrides and override the default values, so that as new fields are added, your code still compiles.

For added safety, use the getBackendSpecific* and setBackendSpecific* functions, as a breaking change to the record field labels won't be reflected in a major version bump of the library.

typetype CautiousMigration = [(Bool, Sql)]
#

A list of SQL operations, marked with a safety flag. If the Bool is True, then the operation is *unsafe* - it might be destructive, or otherwise not idempotent. If the Bool is False, then the operation is *safe*, and can be run repeatedly without issues.

An exception indicating that Persistent refused to run some unsafe migrations. Contains a list of pairs where the Bool tracks whether the migration was unsafe (True means unsafe), and the Sql is the sql statement for the migration.

Instances2Show, Exception
  • Show PersistUnsafeMigrationExceptionDefined in persistent-2.18.1.0 · Database.Persist.Sql.Migration

    This Show instance renders an error message suitable for printing to the console. This is a little dodgy, but since GHC uses Show instances when displaying uncaught exceptions, we have little choice.

  • Exception PersistUnsafeMigrationExceptionDefined in persistent-2.18.1.0 · Database.Persist.Sql.Migration
datadata FilterTablePrefix
#

Used when determining how to prefix a column name in a WHERE clause.

Constructors

  • PrefixTableName

    Prefix the column with the table name. This is useful if the column name might be ambiguous.

  • PrefixExcluded

    Prefix the column name with the EXCLUDED keyword. This is used with the Postgresql backend when doing ON CONFLICT DO UPDATE clauses - see the documentation on upsertWhere and upsertManyWhere.

datadata ColumnReference
#

This value specifies how a field references another table.

Constructors

Instances3Eq, Ord, Show
datadata ConnectionPoolConfig
#

Values to configure a pool of database connections. See Data.Pool for details.

Constructors

Instances1Show
newtypenewtype Single a
#

A single column (see rawSql). Any PersistField may be used here, including PersistValue (which does not do any processing).

Constructors

Instances5Eq, Ord, Read, Show, RawSql
  • Eq a => Eq (Single a)Defined in persistent-2.18.1.0 · Database.Persist.Sql.Types
  • Ord a => Ord (Single a)Defined in persistent-2.18.1.0 · Database.Persist.Sql.Types
  • Read a => Read (Single a)Defined in persistent-2.18.1.0 · Database.Persist.Sql.Types
  • Show a => Show (Single a)Defined in persistent-2.18.1.0 · Database.Persist.Sql.Types
  • PersistField a => RawSql (Single a)Defined in persistent-2.18.1.0 · Database.Persist.Sql.Class
newtypenewtype SqlReadBackend
#

An SQL backend which can only handle read queries

The constructor was exposed in 2.10.0.

Instances27PersistQueryRead, HasPersistBackend, IsPersistBackend, PersistCore, PersistStoreRead, PersistUniqueRead, …
newtypenewtype SqlWriteBackend
#

An SQL backend which can handle read or write queries

The constructor was exposed in 2.10.0

Instances30PersistQueryRead, PersistQueryWrite, HasPersistBackend, IsPersistBackend, PersistCore, PersistStoreRead, …
datadata SqlBackend
#

A SqlBackend represents a handle or connection to a database. It contains functions and values that allow databases to have more optimized implementations, as well as references that benefit performance and sharing.

Instead of using the SqlBackend constructor directly, use the mkSqlBackend function.

A SqlBackend is *not* thread-safe. You should not assume that a SqlBackend can be shared among threads and run concurrent queries. This *will* result in problems. Instead, you should create a Pool SqlBackend, known as a ConnectionPool, and pass that around in multi-threaded applications.

To run actions in the persistent library, you should use the runSqlConn function. If you're using a multithreaded application, use the runSqlPool function.

Instances32PersistQueryRead, PersistQueryWrite, HasPersistBackend, IsPersistBackend, PersistCore, PersistStoreRead, …
datadata IsolationLevel
#

Please refer to the documentation for the database in question for a full overview of the semantics of the varying isolation levels

Instances5Bounded, Enum, Eq, Ord, Show
  • Bounded IsolationLevelDefined in persistent-2.18.1.0 · Database.Persist.SqlBackend.Internal.IsolationLevel
  • Enum IsolationLevelDefined in persistent-2.18.1.0 · Database.Persist.SqlBackend.Internal.IsolationLevel
  • Eq IsolationLevelDefined in persistent-2.18.1.0 · Database.Persist.SqlBackend.Internal.IsolationLevel
  • Ord IsolationLevelDefined in persistent-2.18.1.0 · Database.Persist.SqlBackend.Internal.IsolationLevel
  • Show IsolationLevelDefined in persistent-2.18.1.0 · Database.Persist.SqlBackend.Internal.IsolationLevel
datadata CascadeAction
#

An action that might happen on a deletion or update on a foreign key change.

Instances5Eq, Ord, Read, Show, Lift
datadata Checkmark
#

A Checkmark should be used as a field type whenever a uniqueness constraint should guarantee that a certain kind of record may appear at most once, but other kinds of records may appear any number of times.

NOTE: You need to mark any Checkmark fields as nullable (see the following example).

For example, suppose there's a Location entity that represents where a user has lived:

Location
    user    UserId
    name    Text
    current Checkmark nullable

    UniqueLocation user current

The UniqueLocation constraint allows any number of Inactive Locations to be current. However, there may be at most one current Location per user (i.e., either zero or one per user).

This data type works because of the way that SQL treats NULLable fields within uniqueness constraints. The SQL standard says that NULL values should be considered different, so we represent Inactive as SQL NULL, thus allowing any number of Inactive records. On the other hand, we represent Active as TRUE, so the uniqueness constraint will disallow more than one Active record.

Note: There may be DBMSs that do not respect the SQL standard's treatment of NULL values on uniqueness constraints, please check if this data type works before relying on it.

The SQL BOOLEAN type is used because it's the smallest data type available. Note that we never use FALSE, just TRUE and NULL. Provides the same behavior Maybe () would if () was a valid PersistField.

Constructors

  • Active

    When used on a uniqueness constraint, there may be at most one Active record.

  • Inactive

    When used on a uniqueness constraint, there may be any number of Inactive records.

Instances11Bounded, Enum, Eq, Ord, Read, Show, …
datadata CompositeDef
#
Instances5Eq, Ord, Read, Show, Lift
  • Eq CompositeDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord CompositeDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read CompositeDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show CompositeDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift CompositeDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata EmbedEntityDef
#

An EmbedEntityDef is the same as an EntityDef But it is only used for fieldReference so it only has data needed for embedding

Instances5Eq, Ord, Read, Show, Lift
datadata EmbedFieldDef
#

An EmbedFieldDef is the same as a FieldDef But it is only used for embeddedFields so it only has data needed for embedding

Instances5Eq, Ord, Read, Show, Lift
datadata EntityDef
#

An EntityDef represents the information that persistent knows about an Entity. It uses this information to generate the Haskell datatype, the SQL migrations, and other relevant conversions.

Instances5Eq, Ord, Read, Show, Lift
  • Eq EntityDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord EntityDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read EntityDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show EntityDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift EntityDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata EntityIdDef
#

The definition for the entity's primary key ID.

Constructors

  • EntityIdField !FieldDef

    The entity has a single key column, and it is a surrogate key - that is, you can't go from rec -> Key rec.

  • EntityIdNaturalKey !CompositeDef

    The entity has a natural key. This means you can write rec -> Key rec because all the key fields are present on the datatype.

    A natural key can have one or more columns.

Instances5Eq, Ord, Read, Show, Lift
  • Eq EntityIdDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord EntityIdDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read EntityIdDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show EntityIdDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift EntityIdDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata FieldAttr
#

Attributes that may be attached to fields that can affect migrations and serialization in backend-specific ways.

While we endeavor to, we can't forsee all use cases for all backends, and so FieldAttr is extensible through its constructor FieldAttrOther.

Constructors

  • FieldAttrMaybe

    The Maybe keyword goes after the type. This indicates that the column is nullable, and the generated Haskell code will have a Maybe type for it.

    Example:

    User
        name Text Maybe
    
  • FieldAttrNullable

    This indicates that the column is nullable, but should not have a Maybe type. For this to work out, you need to ensure that the PersistField instance for the type in question can support a PersistNull value.

    data What = NoWhat | Hello Text
    
    instance PersistField What where
        fromPersistValue PersistNull =
            pure NoWhat
        fromPersistValue pv =
            Hello $ fromPersistValue pv
    
    instance PersistFieldSql What where
        sqlType _ = SqlString
    
    User
        what What nullable
    
  • FieldAttrMigrationOnly

    This tag means that the column will not be present on the Haskell code, but will not be removed from the database. Useful to deprecate fields in phases.

    You should set the column to be nullable in the database. Otherwise, inserts won't have values.

    User
        oldName Text MigrationOnly
        newName Text
    
  • FieldAttrSafeToRemove

    A SafeToRemove attribute is not present on the Haskell datatype, and the backend migrations should attempt to drop the column without triggering any unsafe migration warnings.

    Useful after you've used MigrationOnly to remove a column from the database in phases.

    User
        oldName Text SafeToRemove
        newName Text
    
  • FieldAttrNoreference

    This attribute indicates that we should not create a foreign key reference from a column. By default, persistent will try and create a foreign key reference for a column if it can determine that the type of the column is a Key entity or an EntityId and the Entity's name was present in mkPersist.

    This is useful if you want to use the explicit foreign key syntax.

    Post
        title    Text
    
    Comment
        postId   PostId      noreference
        Foreign Post fk_comment_post postId
    
  • FieldAttrReference Text

    This is set to specify precisely the database table the column refers to.

    Post
        title    Text
    
    Comment
        postId   PostId references="post"
    

    You should not need this - persistent should be capable of correctly determining the target table's name. If you do need this, please file an issue describing why.

  • FieldAttrConstraint Text

    Specify a name for the constraint on the foreign key reference for this table.

    Post
        title    Text
    
    Comment
        postId   PostId constraint="my_cool_constraint_name"
    
  • FieldAttrDefault Text

    Specify the default value for a column.

    User
        createdAt    UTCTime     default="NOW()"
    

    Note that a default= attribute does not mean you can omit the value while inserting.

  • FieldAttrSqltype Text

    Specify a custom SQL type for the column. Generally, you should define a custom datatype with a custom PersistFieldSql instance instead of using this.

    User
        uuid     Text    sqltype=UUID
    
  • FieldAttrMaxlen Integer

    Set a maximum length for a column. Useful for VARCHAR and indexes.

    User
        name     Text    maxlen=200
    
        UniqueName name
    
  • FieldAttrSql Text

    Specify the database name of the column.

    User
        blarghle     Int     sql="b_l_a_r_g_h_l_e"
    

    Useful for performing phased migrations, where one column is renamed to another column over time.

  • FieldAttrOther Text

    A grab bag of random attributes that were unrecognized by the parser.

Instances5Eq, Ord, Read, Show, Lift
  • Eq FieldAttrDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord FieldAttrDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read FieldAttrDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show FieldAttrDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift FieldAttrDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata FieldCascade
#

This datatype describes how a foreign reference field cascades deletes or updates.

This type is used in both parsing the model definitions and performing migrations. A Nothing in either of the field values means that the user has not specified a CascadeAction. An unspecified CascadeAction is defaulted to Restrict when doing migrations.

Instances5Eq, Ord, Read, Show, Lift
  • Eq FieldCascadeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord FieldCascadeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read FieldCascadeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show FieldCascadeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift FieldCascadeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata FieldDef
#

A FieldDef represents the inormation that persistent knows about a field of a datatype. This includes information used to parse the field out of the database and what the field corresponds to.

Constructors

Instances5Eq, Ord, Read, Show, Lift
  • Eq FieldDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord FieldDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read FieldDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show FieldDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift FieldDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata FieldType
#

A FieldType describes a field parsed from the QuasiQuoter and is used to determine the Haskell type in the generated code.

name Text parses into FTTypeCon Nothing Text

name T.Text parses into FTTypeCon (Just T Text)

name (Jsonb User) parses into:

FTApp (FTTypeCon Nothing Jsonb) (FTTypeCon Nothing User)
Instances5Eq, Ord, Read, Show, Lift
  • Eq FieldTypeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord FieldTypeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read FieldTypeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show FieldTypeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift FieldTypeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata ForeignDef
#
Instances5Eq, Ord, Read, Show, Lift
  • Eq ForeignDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord ForeignDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read ForeignDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show ForeignDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift ForeignDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata ReferenceDef
#

There are 3 kinds of references 1) composite (to fields that exist in the record) 2) single field 3) embedded

Constructors

Instances5Eq, Ord, Read, Show, Lift
  • Eq ReferenceDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord ReferenceDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read ReferenceDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show ReferenceDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift ReferenceDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata SqlType
#

A SQL data type. Naming attempts to reflect the underlying Haskell datatypes, eg SqlString instead of SqlVarchar. Different SQL databases may have different translations for these types.

Instances5Eq, Ord, Read, Show, Lift
  • Eq SqlTypeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord SqlTypeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read SqlTypeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show SqlTypeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift SqlTypeDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata UniqueDef
#

Type for storing the Uniqueness constraint in the Schema. Assume you have the following schema with a uniqueness constraint:

Person
  name String
  age Int
  UniqueAge age

This will be represented as:

UniqueDef
    { uniqueHaskell = ConstraintNameHS (packPTH UniqueAge)
    , uniqueDBName = ConstraintNameDB (packPTH "unique_age")
    , uniqueFields = [(FieldNameHS (packPTH "age"), FieldNameDB (packPTH "age"))]
    , uniqueAttrs = []
    }
Instances5Eq, Ord, Read, Show, Lift
  • Eq UniqueDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Ord UniqueDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Read UniqueDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show UniqueDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Lift UniqueDefDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
datadata WhyNullable
#

The reason why a field is nullable is very important. A field that is nullable because of a Maybe tag will have its type changed from A to Maybe A. OTOH, a field that is nullable because of a nullable tag will remain with the same type.

Instances2Eq, Show
  • Eq WhyNullableDefined in persistent-2.18.1.0 · Database.Persist.Types.Base
  • Show WhyNullableDefined in persistent-2.18.1.0 · Database.Persist.Types.Base