{-| Module: Squeal.PostgreSQL Description: export module Copyright: (c) Eitan Chatav, 2019 Maintainer: eitan@morphism.tech Stability: experimental Squeal is a deep embedding of [PostgreSQL](https://www.postgresql.org) in Haskell. Let's see an example! First, we need some language extensions because Squeal uses modern GHC features. >>> :set -XDataKinds -XDeriveGeneric -XOverloadedLabels -XFlexibleContexts >>> :set -XOverloadedStrings -XTypeApplications -XTypeOperators -XGADTs We'll need some imports. >>> import Control.Monad.IO.Class (liftIO) >>> import Data.Int (Int32) >>> import Data.Text (Text) >>> import Squeal.PostgreSQL We'll use generics to easily convert between Haskell and PostgreSQL values. >>> import qualified Generics.SOP as SOP >>> import qualified GHC.Generics as GHC The first step is to define the schema of our database. This is where we use @DataKinds@ and @TypeOperators@. >>> :{ type UsersColumns = '[ "id" ::: 'Def :=> 'NotNull 'PGint4 , "name" ::: 'NoDef :=> 'NotNull 'PGtext ] type UsersConstraints = '[ "pk_users" ::: 'PrimaryKey '["id"] ] type EmailsColumns = '[ "id" ::: 'Def :=> 'NotNull 'PGint4 , "user_id" ::: 'NoDef :=> 'NotNull 'PGint4 , "email" ::: 'NoDef :=> 'Null 'PGtext ] type EmailsConstraints = '[ "pk_emails" ::: 'PrimaryKey '["id"] , "fk_user_id" ::: 'ForeignKey '["user_id"] "public" "users" '["id"] ] type Schema = '[ "users" ::: 'Table (UsersConstraints :=> UsersColumns) , "emails" ::: 'Table (EmailsConstraints :=> EmailsColumns) ] type DB = Public Schema :} Notice the use of type operators. `:::` is used to pair an alias `GHC.TypeLits.Symbol` with a `SchemasType`, a `SchemumType`, a `TableConstraint` or a `ColumnType`. It is intended to connote Haskell's @::@ operator. `:=>` is used to pair `TableConstraints` with a `ColumnsType`, yielding a `TableType`, or to pair an `Optionality` with a `NullType`, yielding a `ColumnType`. It is intended to connote Haskell's @=>@ operator Next, we'll write `Definition`s to set up and tear down the schema. In Squeal, a `Definition` like `createTable`, `alterTable` or `dropTable` has two type parameters, corresponding to the schema before being run and the schema after. We can compose definitions using `>>>`. Here and in the rest of our commands we make use of overloaded labels to refer to named tables and columns in our schema. >>> :{ let setup :: Definition (Public '[]) DB setup = createTable #users ( serial `as` #id :* (text & notNullable) `as` #name ) ( primaryKey #id `as` #pk_users ) >>> createTable #emails ( serial `as` #id :* (int & notNullable) `as` #user_id :* (text & nullable) `as` #email ) ( primaryKey #id `as` #pk_emails :* foreignKey #user_id #users #id (OnDelete Cascade) (OnUpdate Cascade) `as` #fk_user_id ) :} We can easily see the generated SQL is unsurprising looking. >>> printSQL setup CREATE TABLE "users" ("id" serial, "name" text NOT NULL, CONSTRAINT "pk_users" PRIMARY KEY ("id")); CREATE TABLE "emails" ("id" serial, "user_id" int NOT NULL, "email" text NULL, CONSTRAINT "pk_emails" PRIMARY KEY ("id"), CONSTRAINT "fk_user_id" FOREIGN KEY ("user_id") REFERENCES "users" ("id") ON DELETE CASCADE ON UPDATE CASCADE); Notice that @setup@ starts with an empty public schema @(Public '[])@ and produces @DB@. In our `createTable` commands we included `TableConstraint`s to define primary and foreign keys, making them somewhat complex. Our @teardown@ `Definition` is simpler. >>> :{ let teardown :: Definition DB (Public '[]) teardown = dropTable #emails >>> dropTable #users :} >>> printSQL teardown DROP TABLE "emails"; DROP TABLE "users"; We'll need a Haskell type for @User@s. We give the type `Generics.SOP.Generic` and `Generics.SOP.HasDatatypeInfo` instances so that we can encode and decode @User@s. >>> :set -XDerivingStrategies -XDeriveAnyClass >>> :{ data User = User { userName :: Text, userEmail :: Maybe Text } deriving stock (Show, GHC.Generic) deriving anyclass (SOP.Generic, SOP.HasDatatypeInfo) :} Next, we'll write `Statement`s to insert @User@s into our two tables. A `Statement` has three type parameters, the schemas it refers to, input parameters and an output row. When we insert into the users table, we will need a parameter for the @name@ field but not for the @id@ field. Since it's serial, we can use a default value. However, since the emails table refers to the users table, we will need to retrieve the user id that the insert generates and insert it into the emails table. We can do this in a single `Statement` by using a `with` `manipulation`. >>> :{ let insertUser :: Statement DB User () insertUser = manipulation $ with (u `as` #u) e where u = insertInto #users (Values_ (Default `as` #id :* Set (param @1) `as` #name)) OnConflictDoRaise (Returning_ (#id :* param @2 `as` #email)) e = insertInto_ #emails $ Select (Default `as` #id :* Set (#u ! #id) `as` #user_id :* Set (#u ! #email) `as` #email) (from (common #u)) :} >>> printSQL insertUser WITH "u" AS (INSERT INTO "users" AS "users" ("id", "name") VALUES (DEFAULT, ($1 :: text)) RETURNING "id" AS "id", ($2 :: text) AS "email") INSERT INTO "emails" AS "emails" ("user_id", "email") SELECT "u"."id", "u"."email" FROM "u" AS "u" Next we write a `Statement` to retrieve users from the database. We're not interested in the ids here, just the usernames and email addresses. We need to use an `innerJoin` to get the right result. >>> :{ let getUsers :: Statement DB () User getUsers = query $ select_ (#u ! #name `as` #userName :* #e ! #email `as` #userEmail) ( from (table (#users `as` #u) & innerJoin (table (#emails `as` #e)) (#u ! #id .== #e ! #user_id)) ) :} >>> printSQL getUsers SELECT "u"."name" AS "userName", "e"."email" AS "userEmail" FROM "users" AS "u" INNER JOIN "emails" AS "e" ON ("u"."id" = "e"."user_id") Let's create some users to add to the database. >>> :{ let users :: [User] users = [ User "Alice" (Just "alice@gmail.com") , User "Bob" Nothing , User "Carole" (Just "carole@hotmail.com") ] :} Now we can put together all the pieces into a program. The program connects to the database, sets up the schema, inserts the user data (using prepared statements as an optimization), queries the user data and prints it out and finally closes the connection. We can thread the changing schema information through by using the indexed `PQ` monad transformer and when the schema doesn't change we can use `Monad` and `MonadPQ` functionality. >>> :{ let session :: PQ DB DB IO () session = do executePrepared_ insertUser users usersResult <- execute getUsers usersRows <- getRows usersResult liftIO $ print usersRows in withConnection "host=localhost port=5432 dbname=exampledb user=postgres password=postgres" $ define setup & pqThen session & pqThen (define teardown) :} [User {userName = "Alice", userEmail = Just "alice@gmail.com"},User {userName = "Bob", userEmail = Nothing},User {userName = "Carole", userEmail = Just "carole@hotmail.com"}] This should get you up and running with Squeal. Once you're writing more complicated queries and need a deeper understanding of Squeal's types and how everything fits together, check out the in the toplevel of Squeal's Git repo. -} module Squeal.PostgreSQL ( module X , RenderSQL (..) , printSQL ) where import Squeal.PostgreSQL.Definition as X import Squeal.PostgreSQL.Definition.Comment as X import Squeal.PostgreSQL.Definition.Constraint as X import Squeal.PostgreSQL.Definition.Function as X import Squeal.PostgreSQL.Definition.Index as X import Squeal.PostgreSQL.Definition.Procedure as X import Squeal.PostgreSQL.Definition.Schema as X import Squeal.PostgreSQL.Definition.Table as X import Squeal.PostgreSQL.Definition.Type as X import Squeal.PostgreSQL.Definition.View as X import Squeal.PostgreSQL.Expression as X import Squeal.PostgreSQL.Expression.Aggregate as X import Squeal.PostgreSQL.Expression.Array as X import Squeal.PostgreSQL.Expression.Comparison as X import Squeal.PostgreSQL.Expression.Composite as X import Squeal.PostgreSQL.Expression.Default as X import Squeal.PostgreSQL.Expression.Json as X import Squeal.PostgreSQL.Expression.Inline as X import Squeal.PostgreSQL.Expression.Logic as X import Squeal.PostgreSQL.Expression.Math as X import Squeal.PostgreSQL.Expression.Null as X import Squeal.PostgreSQL.Expression.Parameter as X import Squeal.PostgreSQL.Expression.Range as X import Squeal.PostgreSQL.Expression.Sort as X import Squeal.PostgreSQL.Expression.Subquery as X import Squeal.PostgreSQL.Expression.Text as X import Squeal.PostgreSQL.Expression.TextSearch as X import Squeal.PostgreSQL.Expression.Time as X import Squeal.PostgreSQL.Expression.Type as X import Squeal.PostgreSQL.Expression.Window as X import Squeal.PostgreSQL.Manipulation as X import Squeal.PostgreSQL.Manipulation.Call as X import Squeal.PostgreSQL.Manipulation.Delete as X import Squeal.PostgreSQL.Manipulation.Insert as X import Squeal.PostgreSQL.Manipulation.Update as X import Squeal.PostgreSQL.Query as X import Squeal.PostgreSQL.Query.From as X import Squeal.PostgreSQL.Query.From.Join as X import Squeal.PostgreSQL.Query.From.Set as X import Squeal.PostgreSQL.Query.Select as X import Squeal.PostgreSQL.Query.Table as X import Squeal.PostgreSQL.Query.Values as X import Squeal.PostgreSQL.Query.With as X import Squeal.PostgreSQL.Render (RenderSQL(..), printSQL) import Squeal.PostgreSQL.Session as X import Squeal.PostgreSQL.Session.Connection as X import Squeal.PostgreSQL.Session.Decode as X import Squeal.PostgreSQL.Session.Encode as X import Squeal.PostgreSQL.Session.Exception as X import Squeal.PostgreSQL.Session.Indexed as X import Squeal.PostgreSQL.Session.Migration as X import Squeal.PostgreSQL.Session.Monad as X import Squeal.PostgreSQL.Session.Oid as X import Squeal.PostgreSQL.Session.Pool as X import Squeal.PostgreSQL.Session.Result as X import Squeal.PostgreSQL.Session.Statement as X import Squeal.PostgreSQL.Session.Transaction as X import Squeal.PostgreSQL.Type as X import Squeal.PostgreSQL.Type.Alias as X import Squeal.PostgreSQL.Type.List as X import Squeal.PostgreSQL.Type.PG as X import Squeal.PostgreSQL.Type.Schema as X