Package

purescript-droplet

Repository
easafe/purescript-droplet
License
MIT
Uploaded by
easafe
Published on
2023-01-17T15:59:26Z

purescript-droplet build status

Composable, type-safe eDSL and query mapper for PureScript targeting PostgreSQL

  • eDSL made out of combinators (almost) identical to their SQL counterparts

  • Generated SQL matches eDSL one-to-one, and is guaranteed to be correct and unambiguous

  • Supports nearly all common SQL operations for SELECT, INSERT, UPDATE, DELETE and others, including joins, aggregations, subqueries, etc

  • Very little boilerplate: query results are automatically mapped to records, (valid) queries never require type annotations

  • Migration support via pebble

Documentation

See the project page for an in-depth look, or pursuit for API docs

Quick start

Install

npm i big-integer pg @easafe/pebble

spago install droplet

Create some tables

create table users (
    id integer generated always as identity primary key,
    name text not null,
    birthday date null
);

create table messages (
    id integer generated always as identity primary key,
    sender integer not null,
    recipient integer not null,
    date timestamptz default now(),

    constraint sender_user foreign key (sender) references users(id),
    constraint recipient_user foreign key (recipient) references users(id)
);

Define some types for your SQL

-- representation of the table itself
type UsersTable = Table "users" Users

users :: UsersTable
users = Table

messages :: Table "messages" Messages
messages = Table

-- representation of the table's columns definitions
type Users = (
    id :: Column Int (PrimaryKey /\ Identity), -- primary key, generated always as identity
    name :: String,
    birthday :: Maybe Date -- nullable column
)

type Messages = (
    id :: Column Int (PrimaryKey /\ Identity),
    sender :: Column Int (ForeignKey "id" UsersTable), -- foreign key to table users
    recipient :: Column Int (ForeignKey "id" UsersTable),
    date :: Column DateTime (Constraint "date_default_messages" Default) -- column with named default constrain
)

-- representation of column names to be used in queries
id :: Proxy "id"
id = Proxy

name :: Proxy "name"
name = Proxy

birthday :: Proxy "birthday"
birthday = Proxy

sender :: Proxy "sender"
sender = Proxy

recipient :: Proxy "recipient"
recipient = Proxy

date :: Proxy "date"
date = Proxy

-- alias
u :: Proxy "u"
u = Proxy

m :: Proxy "m"
m = Proxy

t :: Proxy "t"
t = Proxy

(Don't worry, table creation, typing and migration can be automated with pebble)

Prepare some queries

mary :: _
mary =
    insert #
    into users (name) #
    values ("Mary Sue") # -- `name` is the only required field; it would be a type error to set `id`, as it is an identity column
    returning id -- output inserted `id`

gary :: Date -> _
gary bday =
    insert #
    into users (name /\ birthday) # -- tuple for field list
    values ("Gary Stu" /\ Just bday) # -- set the nullable field `birthday`
    returning id

chat :: Int -> Int -> _
chat from to = insert # into messages (sender /\ recipient) # values (from /\ to) -- `date` has a default value

selectMessages :: _
selectMessages =
      select (id /\ date) #
      from messages

selectUserMessages :: Int -> _
selectUserMessages userId =
      selectMessages #
      wher (id .=. userId) -- SQL operators are surrounded by dots; we can compare `id` to `userId` as `Column` type wrappers are automatically stripped

joinUserMessages :: _
joinUserMessages =
      select (u ... name /\ -- `alias ... column` is equivalent to SQL alias.column
              (t ... name # as recipient) /\ -- `name` is displayed as recipient
              date) #
      from (((messages # as m)
            `join`
            (users # as u) #
            on (m ... sender .=. u ... id))
            `join`
            (users # as t) #
            on (m ... recipient .=. t ... id))

Connect to the database

connectionInfo :: Configuration
connectionInfo = (Driver.defaultConfiguration "database") {
      user = Just "user"
}

example :: Aff Unit
example = do
      pool <- liftEffect $ Pool.newPool connectionInfo -- connection pool from PostgreSQL
      Driver.withConnection pool case _ of
            Left error -> pure unit -- or some more sensible handling
            Right connection -> runSql connection

Run queries

runSql :: Connection -> Aff Unit
runSql connection = do
      now <- liftEffect Now.nowDate
      mRow <- Driver.single connection mary -- run a query that returns a single row
      gRow <- Driver.single connection $ gary now
      case mRow, gRow of
            Right (Just {id: mId}), Right (Just {id: gId}) -> void do
                  mErr <- Driver.execute connection $ chat mId gId -- run a query that doesn't produce an output
                  gErr <- Driver.execute connection $ chat gId mId

                  mMessages <- Driver.query connection $ selectUserMessages mId -- run a query that returns rows
                  gMessages <- Driver.query connection $ selectUserMessages gId -- rows are always records, the keys are the projected columns
                  Driver.query connection joinUserMessages

            _, _ -> pure unit

Licensing

Wrapper code around pg was adapted from purescript-postgresql-client so its license has been included in PURESCRIPT-POSTGRESQL-CLIENT-LICENSE

Funding

If this project is useful for you, consider throwing a buck to keep development possible