GenericPersistence - A Haskell persistence layer using Generics and Reflection
Introduction
GenericPersistence is a minimalistic Haskell persistence layer (on top of HDBC).
The approach relies on Generics (Data.Data
, Data.Typeable
) and Reflection (Type.Reflection
).
The functional goal of the persistence layer is to provide hassle-free RDBMS persistence for Haskell data types in
Record notation (for brevity I call them Entities).
That is, it provides means for inserting, updating, deleting and quering such enties to/from relational databases.
The main design goal is to minimize the boilerplate code required:
- no manual instantiation of type classes
- no implementation of encoders/decoders
- no special naming convention for types and their attributes
- no special types to define entities and attributes
- no Template Haskell scaffolding of glue code
In an ideal world we would be able to take any POHO (Plain old Haskell Object)
and persist it to any RDBMS without any additional effort.
A lot of things are still missing:
- A query language
- Handling of nested transactions
- Handling auto-incrementing primary keys
- ...
Available on Hackage
[https://hackage.haskell.org/package/generic-persistence](https://hackage.haskell.org/package/generic-persistence)
Add the following to your package.yaml
file:
dependencies:
- generic-persistence
Short demo
Here now follows a short demo that shows how the library looks and feels from the user's point of view.
-- allows automatic derivation from Entity type class
{-# LANGUAGE DeriveAnyClass #-}
module Main (main) where
import Data.Data (Data)
import Database.GP (Entity (..), GP, delete, insert, liftIO,
persist, retrieveAll, retrieveById,
runGP, setupTableFor, update)
import Database.HDBC (IConnection (disconnect), fromSql,
toSql)
import Database.HDBC.Sqlite3 (connectSqlite3)
-- | An Entity data type with several fields, using record syntax.
data Person = Person
{ personID :: Int,
name :: String,
age :: Int,
address :: String
}
deriving (Data, Entity, Show) -- deriving Entity allows to handle the type with GenericPersistence
data Book = Book
{ book_id :: Int,
title :: String,
author :: String,
year :: Int
}
deriving (Data, Show) -- no auto deriving of Entity, so we have to implement the Entity type class:
instance Entity Book where
-- this is the primary key field of the Book data type
idField _ = "book_id"
-- this defines the mapping between the field names of the Book data type and the column names of the database table
fieldsToColumns _ = [("book_id", "bookId"), ("title", "bookTitle"), ("author", "bookAuthor"), ("year", "bookYear")]
-- this is the name of the database table
tableName _ = "BOOK_TBL"
-- this is the function that converts a row from the database table into a Book data type
fromRow row = return $ Book (col 0) (col 1) (col 2) (col 3)
where
col i = fromSql (row !! i)
-- this is the function that converts a Book data type into a row for the database table
toRow b = return [toSql (book_id b), toSql (title b), toSql (author b), toSql (year b)]
main :: IO ()
main = do
-- connect to a database
conn <- connectSqlite3 "sqlite.db"
-- take the connection and execute all persistence operations in the GP monad (type alias for RIO Ctx)
runGP conn $ do
_ <- setupTableFor :: GP Person
_ <- setupTableFor :: GP Book
let alice = Person 123456 "Alice" 25 "123 Main St"
book = Book 1 "The Hobbit" "J.R.R. Tolkien" 1937
-- insert a Person into the database (persist will either insert or update)
persist alice
-- insert a second Person
persist alice {personID = 123457, name = "Bob"}
-- update a Person
persist alice {address = "Elmstreet 1"}
-- select a Person from a database
alice' <- retrieveById (123456 :: Int) :: GP (Maybe Person)
liftIO $ print alice'
-- select all Persons from the database
allPersons <- retrieveAll :: GP [Person]
liftIO $ print allPersons
-- delete a Person
delete alice
-- select all Persons from a database. The deleted Person is not in the result.
allPersons' <- retrieveAll :: GP [Person]
liftIO $ print allPersons'
let book2 = Book {book_id = 2, title = "The Lord of the Ring", author = "J.R.R. Tolkien", year = 1954}
-- this time we are using insert directly
insert book
insert book2
allBooks <- retrieveAll :: GP [Book]
liftIO $ print allBooks
-- explicitly updating a Book
update book2 {title = "The Lord of the Rings"}
delete book
allBooks' <- retrieveAll :: GP [Book]
liftIO $ print allBooks'
Handling enumeration fields
Say we have a data type Book
with an enumeration field of type BookCategory
:
data Book = Book
{ bookID :: Int,
title :: String,
author :: String,
year :: Int,
category :: BookCategory
}
deriving (Data, Show)
data BookCategory = Fiction | Travel | Arts | Science | History | Biography | Other
deriving (Data, Show, Enum)
In this case the Entity
type class instance for Book
has to be implemented manually,
as the automatic derivation of Entity
does not cover this case (yet)
instance Entity Book where
fromRow row = return $ Book (col 0) (col 1) (col 2) (col 3) (col 4)
where
col i = fromSql (row !! i)
toRow b = return [toSql (bookID b), toSql (title b), toSql (author b), toSql (year b), toSql (category b)]
toSql
and fromSql
expect Convertible
instances as arguments. This works for BookCatagory
as GenericPersistence provides Convertible
instances for all Enum
types.
If you do not want to use Enum
types for your enumeration fields, you can implement Convertible
instances for your own types:
data BookCategory = Fiction | Travel | Arts | Science | History | Biography | Other
deriving (Data, Show, Read)
instance Convertible BookCategory SqlValue where
safeConvert = Right . toSql . show
instance Convertible SqlValue BookCategory where
safeConvert = Right . read . fromSql
Handling embedded Objects
Say we have a data type Article
with an field of type Author
:
data Article = Article
{ articleID :: Int,
title :: String,
author :: Author,
year :: Int
}
deriving (Data, Show, Eq)
data Author = Author
{ authorID :: Int,
name :: String,
address :: String
}
deriving (Data, Show, Eq)
If we don't want to store the Author
as a separate table, we can use the following approach to embed the Author
into the Article
table:
instance Entity Article where
-- in the fields to column mapping we specify that all fields of the
-- Author type are also mapped to columns of the Article table:
fieldsToColumns :: Article -> [(String, String)]
fieldsToColumns _ = [("articleID", "articleID"),
("title", "title"),
("authorID", "authorID"),
("authorName", "authorName"),
("authorAddress", "authorAddress"),
("year", "year")
]
-- in fromRow we have to manually construct the Author object from the
-- respective columns of the Article table and insert it
-- into the Article object:
fromRow row = return $ Article (col 0) (col 1) author (col 5)
where
col i = fromSql (row !! i)
author = Author (col 2) (col 3) (col 4)
-- in toRow we have to manually extract the fields of the Author object
-- and insert them into the respective columns of the Article table:
toRow a = return [toSql (articleID a), toSql (title a), toSql authID, toSql authorName, toSql authorAddress, toSql (year a)]
where
authID = authorID (author a)
authorName = name (author a)
authorAddress = address (author a)
Handling 1:1 references
If we have the same data types as in the previous example, but we want to store the Author
in a separate table, we can use the following approach:
data Article = Article
{ articleID :: Int,
title :: String,
author :: Author,
year :: Int
}
deriving (Data, Show, Eq)
data Author = Author
{ authorID :: Int,
name :: String,
address :: String
}
deriving (Data, Entity, Show, Eq) -- we derive Entity for Author
instance Entity Article where
-- in the fields to column mapping we specify an additional authorID field
-- that will be used to store the id of the referenced Author object:
fieldsToColumns :: Article -> [(String, String)]
fieldsToColumns _ = [("articleID", "articleID"),
("title", "title"),
("authorID", "authorID"),
("year", "year")
]
-- in fromRow we have to manually retrieve the Author object from the
-- database (by using authorID as a foreign key)
fromRow row = do
maybeAuthor <- retrieveById (row !! 2) :: GP (Maybe Author)
let author = fromJust maybeAuthor
pure $ Article (col 0) (col 1) author (col 3)
where
col i = fromSql (row !! i)
-- in toRow we have manually persist the Author object and include
-- the authorID of the Author object in the Article row:
toRow a = do
persist (author a)
return [toSql (articleID a), toSql (title a), toSql $ authorID (author a), toSql (year a)]
Handling 1:n references
Now let's extend the previous example by also having a list of Àrticles in the
Author` type:
data Article = Article
{ articleID :: Int,
title :: String,
author :: Author,
year :: Int
}
deriving (Data, Show, Eq)
data Author = Author
{ authorID :: Int,
name :: String,
address :: String,
articles :: [Article]
}
deriving (Data, Show, Eq)
So now we have a 1:n relationship between Author
and Article
. And in addtion we have the 1:1 relationship between Article
and Author
that we have seen in the previous example.
This situation is a bit more complicated, as we have to handle relationships between Article
and Author
at the same time. And we have to make sure that we don't end up in an infinite loop when we persist an Author
object that contains a list of Article
objects that in turn contain the same Author
object.
The same problem occurs when we retrieve an Author
object that contains a list of Article
objects that in turn contain the same Author
object.
We can handle this situation by using the following approach:
instance Entity Article where
-- in the fields to column mapping we specify an additional authorID field:
fieldsToColumns :: Article -> [(String, String)]
fieldsToColumns _ = [("articleID", "articleID"),
("title", "title"),
("authorID", "authorID"),
("year", "year")
]
-- in fromRow we have to take care that we don't end up in an infinite loop
-- so we first place a dummy Article object into the cache and then
-- retrieve the Author object either from cache or from the db:
fromRow :: [SqlValue] -> GP Article
fromRow row = local (extendCtxCache rawArticle) $ do
maybeAuthor <- getElseRetrieve (entityId rawAuthor)
let author = fromJust maybeAuthor
pure $ Article (col 0) (col 1) author (col 3)
where
col i = fromSql (row !! i)
rawAuthor = (evidence :: Author) {authorID = col 2}
rawArticle = Article (col 0) (col 1) rawAuthor (col 3)
toRow a = do
persist (author a)
return [toSql (articleID a), toSql (title a), toSql $ authorID (author a), toSql (year a)]
instance Entity Author where
-- in the fields to column mapping we have anything for the articles field:
fieldsToColumns :: Author -> [(String, String)]
fieldsToColumns _ = [("authorID", "authorID"),
("name", "name"),
("address", "address")
]
-- in fromRow we have to take care that we don't end up in an infinite loop.
-- So we first place a dummy Author object into the cache and then
-- retrieve matching list of Article objects (from cache or from the db):
fromRow :: [SqlValue] -> GP Author
fromRow row = local (extendCtxCache rawAuthor) $ do
articlesByAuth <- retrieveAllWhere (idField rawAuthor) (idValue rawAuthor) :: GP [Article]
pure $ rawAuthor {articles= articlesByAuth}
where
col i = fromSql (row !! i)
rawAuthor = Author (col 0) (col 1) (col 2) []
-- in toRow we do not safe the articles field to avoid infinite loops:
toRow :: Author -> GP [SqlValue]
toRow a = do
return [toSql (authorID a), toSql (name a), toSql (address a)]
Todo
- coding free support for 1:1 and 1:n relationships
- coding free support for Enums
- resolution cache with proper Map