Relationships
Introduction
The following sections assume the following database schema being given. It’s the same as in “Your First Project”.
CREATE TABLE posts (
id UUID DEFAULT uuid_generate_v4() PRIMARY KEY NOT NULL,
title TEXT NOT NULL,
body TEXT NOT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() NOT NULL
);
CREATE TABLE comments (
id UUID DEFAULT uuid_generate_v4() PRIMARY KEY NOT NULL,
post_id UUID NOT NULL,
author TEXT NOT NULL,
body TEXT NOT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() NOT NULL
);
ALTER TABLE comments ADD CONSTRAINT comments_ref_post_id FOREIGN KEY (post_id) REFERENCES posts (id) ON DELETE CASCADE;
Has Many Relationships
Given a specific post, we can fetch the post and all its comments like this:
let postId :: Id Post = ...
post <- fetch postId
>>= fetchRelated #comments
This Haskell code will trigger the following SQL queries to be executed:
SELECT posts.* FROM posts WHERE id = ? LIMIT 1
SELECT comments.* FROM comments WHERE post_id = ?
In the view we can just access the comments like this:
[hsx|
<h1>{post.title}</h1>
<h2>Comments:</h2>
{post.comments}
|]
The post.comments
returns a list of the comments belonging to the post.
The type of post
is Include "comments" Post
instead of the usual Post
. This way the state of a fetched nested resource is tracked at the type level.
It is possible to have multiple nested resources. For example, if Post had a list of comments and tags related to it, it can be defined as Include "comments" (Include "tags" Post)
or with the more convinient way as Include' ["comments", "tags"] Post
.
Note that for the above example, it is expected that the query will change as-well:
let postId :: Id Post = ...
post <- fetch postId
>>= fetchRelated #comments
>>= fetchRelated #tags
Order by
When we want to order the relationship in a certain way, we can just apply our commonly used orderBy
function:
let postId :: Id Post = ...
post <- fetch postId
>>= pure . modify #comments (orderByDesc #createdAt)
>>= fetchRelated #comments
This works because the comments
field of a Post
is just a QueryBuilder
before we call fetchRelated
.
This query builder is equivalent to:
query @Comment |> filterWhere (#postId, post.id)
The call to >>= pure . modify #comments (orderByDesc #createdAt)
just appends a |> orderByDesc #createdAt
like this:
query @Comment |> filterWhere (#postId, post.id) |> orderByDesc #createdAt
Then the fetchRelated
basically just executes this query builder and puts the result back into the comments
field of the post
record.
Multiple Records
Fetching all Posts with their Comments (One-to-many)
When we want to fetch all the comments for a list of posts, we can use collectionFetchRelated
:
posts <- query @Post
|> fetch
>>= collectionFetchRelated #comments
This will query all posts with all their comments. The type of posts
is [Include "comments" Post]
.
The above Haskell code will trigger the following two SQL queries to be executed:
SELECT posts.* FROM posts
SELECT comments.* FROM comments WHERE post_id IN (?)
Inside the view you can access the comments like this:
render = [hsx|
<h1>Posts</h1>
{forEach posts renderPost}
|]
renderPost :: Include "comments" Post -> Html
renderPost post = [hsx|
<h2>{post.title}</h2>
{forEach comments renderComment}
|]
where
comments = post.comments
renderComment :: Comment -> Html
renderComment comment = [hsx|
<div class="comment">{comment.body}</div>
|]
Fetching all Comments with their Posts (Many-to-one)
When we want to fetch all comments and display them with their posts, we need to do the reverse of the above:
comments <- query @Comment
|> fetch
>>= collectionFetchRelated #postId
This will query all comments and their respective posts. The type of comments
is [Include "postId" Comment]
.
The Haskell code will trigger the following two SQL queries:
SELECT comments.* FROM comments
SELECT posts.* FROM posts WHERE id IN (?)
Inside the view you can access the comment’s post like this:
render = [hsx|
<h1>Comments</h1>
{forEach comments renderComment}
|]
renderComment :: Include "postId" Comment -> Html
renderComment comment = [hsx|
<h2>{post.title}</h2>
<div class="comment">{comment.body}</div>
|]
where
-- The post is stored inside the postId field of the comment
post = comment.postId
Order With Multiple Records
If you want to sort the results after fetching multiple records with collectionFetchRelated
posts <-
query @Post
|> fetch
>>= pure . map (modify #comments (orderBy #createdAt))
>>= collectionFetchRelated #comments
Belongs To Relationships
Given a specific comment, we can fetch the post this comment belongs to. Like other relationships this is also using fetchRelated
:
let comment :: Id Comment = ...
comment <- fetch comment
>>= fetchRelated #postId
This Haskell code will trigger the following SQL queries to be executed:
SELECT comments.* FROM comments WHERE id = ? LIMIT 1
SELECT posts.* FROM posts WHERE id = ? LIMIT 1
In the view we can just access the comments like this:
[hsx|
<h1>Comment to {comment.postId.title}</h1>
<h2>Comments:</h2>
{comment.body}
|]
The type of comment
is Include "postId" Comment
instead of the usual Comment
. This way the state of a fetched nested resource is tracked at the type level.
Delete Behavior
Usually, all your relations are secured at the database layer by using foreign key constraints. But that means e.g. deleting a post will fail when there still exists comments.
By default, a new foreign key constraint created via the Schema Designer has no on delete
behavior specified. Therefore the foreign key constraint will look like this:
ALTER TABLE comments ADD CONSTRAINT comments_ref_post_id FOREIGN KEY (post_id) REFERENCES posts (id) ON DELETE NO ACTION;
See the NO ACTION
at the end of the statement? We have to change this do CASCADE
to delete all comments when the related post is going to be deleted:
ALTER TABLE comments ADD CONSTRAINT comments_ref_post_id FOREIGN KEY (post_id) REFERENCES posts (id) ON DELETE CASCADE;
Of course, you can change this using the Schema Designer by clicking on the foreign key next to the post_id
column in the comments
table.
Joins
It is possible to join tables to a given primary table (the one associated with the queried type) and use the joined table to select rows from the primary table. For instance, the following code could be used to retrieve all posts by users from department 5:
query @Post
|> innerJoin @User (#authorId, #id)
|> innerJoinThirdTable @Department @User (#id, #departmentId)
|> filterWhereJoinedTable @Department (#number, 5)
|> fetch
innerJoin
is used to join the users
table (for type User
) to the primary table posts
(for type Posts
) on the columns posts.author_id
and users.id
. Type checks ascertain that both tables actually have the pertinent columns.
The function innerJoinThirdTable
is used to join a third table on a column of some previously joined table. In the example, the table is departments
and it is joined on departments.id = users.department_id
. Again, the type system ascertains that the columns actually exist on the pertinent tables. It is furthermore ascertained that the table associated with the second type User
has been joined before.
To add WHERE
clauses involving a joined table, there is a family of functions named like the ordinary filter functions, but suffixed with “JoinedTable”. Where the normal filter functions use columns from the primary table, the table that the JoinedTable-functions operate on is specified by the type they are called with. In the example, the filterWhereJoinedTable
filters all rows where department.number
equals 5.
Many-to-many relationships and labeled results
Joins are also useful when it comes to many-to-many relationships. An example is the realationship between blog posts and tags: each post can have multiple tags and each tag can be attached to any number of posts. The following code could be used to obtain all posts with the tag ‘haskell’ or ‘ihp’.
query @Post
|> innerJoin @Tagging (#id, #postId)
|> innerJoinThirdTable @Tag @Tagging (#id, #tagId)
|> filterWhereInJoinedTable @Tag (#tagText, ["haskell", "ihp"])
|> fetch
In the above example, the relationship between tags and posts will be lost after executing the query and it is impossible to find out, from the list of results alone, which post bears which tag. The function labelResults can be used to make this relationship transparent. The following code could be used to obtain a list of all posts together with the ids of the tags they are attached to.
labeledComments <-
query @Post
|> innerJoin @Tagging (#id, #postId)
|> innerJoinThirdTable @Tag @Tagging (#id, #tagId)
|> labelResults @Tag #id
|> fetch
labeledComments
will be a list of objects of type LabeledData:
data LabeledData a b = LabeledData { labelValue :: a, contentValue :: b }
In the case above, a
would be instantiated by (Id’ “tags”) and b
by Post
.
Simple Joins and Outer Joins
An alternative approach to joining data in IHP can be accomplished by using the postresql-simple (:.) and a custom sql query.
For example say there is a Student
, StudentDeskCombo
, and Desk
data type derived by IHP from
students
, student_desk_combos
, and desks
tables.
If the application wished to get a list of all the desks and whether a student
is associated with that desk a left outer join
on the three tables would be a simple
way of accomplishing this. The postgresql data type (:.)
allows for a compound data
structure to be created without having to define any newtype
wrappers or define
functions that do any type level computations.
All that is required is that a FromRow
instance for any potentially nullable return value in the query, e.g. Maybe Student
,
is manually defined in the IHP application:
instance FromRow (Maybe Student) where
fromRow = (null *> null *> null *> pure Nothing) <|> (Just <$> fromRow)
where null = field :: RowParser Null
At the moment the postgresql-simple library does not derive this instance generically.
Once you define this instance, preferably in Application.Helper.Controller
, you can then
access the IHP derived data types directly by writing a custom sql query:
deskStudentCombos :: [Desk :. Maybe StudentDeskCombo :. Maybe Student] <- sqlQuery [select * from desks
left outer join on studentdeskcombo.desk_id = desks.id
left outer join on studentdeskcombo.student_id = students.id
]()
the result data type can be unpacked and rendered using straight forward pattern matching with the (:.)
data type/type constructor:
renderStudentDesk :: (Desk :. Maybe StudentDeskCombo :. Student) -> Html
renderStudentDesk (desk :. Just studentDeskCombo :. Just student) = [hsx|{student.name} {desk.id}|]
renderStudentDesk (desk :. Nothing :. Nothing) = [hsx|<p>No student assigned to this Desk: {desk.id}.</p>|]
In the case of inner joins the process is even simpler and does not require
defining the instance FromRow Maybe a
. This approach to joins allows
for custom queries to leverage the autogenerated schema/IHP derived data types directly
and cuts down on clutter from newtype
definitions.
Many-to-many relationships and views
Let’s say we have the following schema:
posts:
- id
tags:
- id
- name
- posts_tags:
- id
- post_id
- tag_id
We want to display a list of all posts with their tags.
We can use it like this:
action PostsAction = do
posts <- query @Post |> fetch
postsTags <- query @PostTag
|> filterWhereIn (#postId, ids posts)
|> fetch
tags <- query @Tag
|> filterWhereIn (#id, map (.tagId) postsTags)
|> fetch
render PostsView { .. }
In our view we can now render the posts like this:
html PostsView { .. } = [hsx|
{forEach posts renderPost}
|]
where
renderPost post = [hsx|
{post}
{forEach thisTags renderTag}
|]
where
thisTags :: [Tag]
thisTags = postsTags
|> filter (\postTag -> postTag.postId == post.id)
|> mapMaybe (\postTag -> find (\tag -> tag.id == postTag.tagId) tags)
renderTag tag = [hsx|
<span>{tag.name}</span>
|]