Sequoia is a type-safe query builder for OCaml. It uses the OCaml type system
to ensure only fields from tables used as data sources for the query (i.e.
tables referred to in FROM
or JOIN
statements) can be used. It only allows
joins using fields previously declared to reference each other. Finally, it
prevents you from using expressions with incompatible types
The queries are composable and the library is extensible, currently providing drivers for MySQL/MariaDB and SQLite.
Tables are defined via OCaml modules, each of its fields corresponding to a value:
open Sequoia_mysql
module User = struct
include (val Mysql.table "user")
let id = Field.int "id"
let name = Field.string "name"
end
module Publisher = struct
include (val Mysql.table "publisher")
let id = Field.int "id"
let name = Field.string "name"
end
module Book = struct
include (val Mysql.table "book")
let id = Field.int "id"
let owner = Field.foreign_key "owner_id" ~references:User.id
let publisher = Field.foreign_key "publisher_id" ~references:Publisher.id
let title = Field.string "title"
let author = Field.string "author"
end
module BookUser = struct
include (val Mysql.table "book_user")
let book = Field.foreign_key "book_id" ~references:Book.id
let user = Field.foreign_key "user_id" ~references:User.id
end
A SELECT
query can be created like this:
let query, params =
Mysql.(Expr.(Select.(Expr.(Vector.(OrderBy.Expr.(Vector.(
from BookUser.table
|> left_join (that BookUser.user There)
|> left_join (that BookUser.book (Skip There))
|> left_join (that Book.publisher (Skip There))
|> select
[ field User.name There
; field Book.title (Skip (Skip There))
; field Publisher.name (Skip There)
]
|> where (field User.name There = field Book.author (Skip (Skip There)))
|> order_by
[ asc (field User.name There)
; desc (field Book.title (Skip (Skip There)))
]
|> limit 10
|> seal
)))))))
The epic sequence of local module opens makes the query cleaner. The following
modules are opened: Mysql
, Mysql.Expr
(MySQL expressions that work on
every query), Mysql.Select
(functions for SELECT
query creation),
Mysql.Select.Expr
(MySQL expressions allowed only in SELECT
queries),
Mysql.Select.Expr.Vector
(vectors of such expressions), OrderBy.Expr
(ORDER BY
expressions are attached to ASC
or DESC
specifications) and
OrderBy.Expr.Vector
(vectors of ORDER BY
expressions).
The seal
function marks the end of the query and returns two values: a
string representation of the query, with markers for parameters according
to the prepared statement syntax of the driver, and the list of query
parameters itself.
The expression above will then generate the following query (though not with such nice indentation, and a bit more parenthesis-happy):
SELECT
user.name, book.title publisher.name
FROM
book_user
LEFT JOIN
user ON user.id = book_user.user_id
LEFT JOIN
book ON book.id = book_user.book_id
LEFT JOIN
publisher ON publisher.id = book.publisher_id
WHERE
user.name = book.author
ORDER BY
user.name ASC, book.title DESC
LIMIT ?
and the parameter list will be [Param.Int 10]
.
You have probably noticed the odd There
, Skip There
and Skip (Skip There)
values in the query expression above. These are used to ensure that only fields
from previously referenced tables can be used, and are henceforth called
"referrer arguments".
You can think of then as walking on a linked list of tables until you find the
table you're referring to. So, for example, the expression Skip (Skip There)
would be used to refer to the third table in that list.
To know how to refer to a table in this scheme, it is necessary to understand how the table list is built. The process works as follows for the above example.
-
A call to the
from
function creates a singleton list. In the example above, this would be a list containing thebook_user
table:[book_user]
. -
A join statement in SQL (in the example above, the
left_join
function) adds a new data source to the query. Following the example, a join is performed with theuser
table via thebook_user.user_id
reference. To be able to refer to thebook_user
table, we must walk the list above until we find it, and since it's the only element of the list, it's alreadyThere
. Tableuser
is added to the list, which now looks like[user; book_user]
. -
A second join is made, this time with the
book
table, in an way analogous to the description above. Only now thebook_user
table is no longer the first element of the list, and to find it we must skip theuser
table, resulting inSkip There
. A new insertion is always made immediately before the referred table in the list, so it now looks like this:[user; book; book_user]
. -
Yet another join, this time with the
publisher
table via the foreign keybook.publisher_id
. Sincebook
is now second table in the list, we once again haveSkip There
. The final list looks like[user; publisher; book; books_user]
.
The select
function marks the end of the list construction, so from this
point onwards fields can be referenced according to it:
- To refer to a field in
user
, useThere
; - To refer to a field in
publisher
, useSkip There
; - To refer to a field in
book
, useSkip (Skip There)
; - To refer to a field in
book_user
, useSkip (Skip (Skip There))
.
Note that the use of a linked list to explain the construction of the referrer arguments is just a didactic device. The actual implementation uses the OCaml type system to ensure query correctness, and there are no type-level lists in OCaml, so function types are used instead.
According to extensive research with two developers, usage of the Skip
/There
stuff in the real world "would not that bad". However, it would be nice to have
them generated automatically, if only to make the queries look cleaner.
Therefore, Sequoia includes a PPX syntax extension to do exactly that. If
you decide to use it, simply append %sql
to the module
and let
keywords
used to define tables and query expressions, respectively.
The example above, with the sintax extension, would look like this:
open Sequoia_mysql
module%sql User = struct
include (val Mysql.table "user")
let id = Field.int "id"
let name = Field.string "name"
end
module%sql Publisher = struct
include (val Mysql.table "publisher")
let id = Field.int "id"
let name = Field.string "name"
end
module%sql Book = struct
include (val Mysql.table "book")
let id = Field.int "id"
let owner = Field.foreign_key "owner_id" ~references:User.id
let publisher = Field.foreign_key "publisher_id" ~references:Publisher.id
let title = Field.string "title"
let author = Field.string "author"
end
module%sql BookUser = struct
include (val Mysql.table "book_user")
let book = Field.foreign_key "book_id" ~references:Book.id
let user = Field.foreign_key "user_id" ~references:User.id
end
let%sql query, params =
Mysql.(Expr.(Select.(Expr.(Vector.(OrderBy.Expr.(Vector.(
from BookUser.table
|> left_join (that BookUser.user)
|> left_join (that BookUser.book)
|> left_join (that Book.publisher)
|> select
[ field User.name
; field Book.title
; field Publisher.name
]
|> where (field User.name = field Book.author)
|> order_by
[ asc (field User.name)
; desc (field Book.title)
]
|> limit 10
|> seal
)))))))
Please note that the syntax extension only works when writing the query in
the style above, using the |>
operator, that is, with partial evaluation.
This is because it detects the locations where the referrer arguments must
be inserted by looking for single-argument field
calls.
In the future it might be extended to be more comprehensive.
You have probably noticed the use of that
in the join expressions above.
It is used to create a join with the table that is referenced by the given
foreign key. For example, left_join (that BookUser.user)
creates a join with
the User
table, because the BookUser.user
foreign key references
a field from User
, namely User.id
. Similarly, Sequoia also offers this
for joins with the table that contains the foreign key.
This behavior of requiring primary and foreign key pairs is by design, because it allows for some extra validation on whether fields used in the join condition actually do refer to the same thing.
This is based on my SQL usage, where the need for arbitrary expressions in join conditionas has not appeared. I could be persuaded that it is important though.
Below is an example of an INSERT
query. Currently only literal values are
supported for insertion.
let query, params = Mysql.(Lit.(Vector.(Insert.(Vector.(
insert
~into:User.table
~fields:[User.id; User.name]
~values:[
[int 1; string "Joe"];
[int 2; string "Mary"];
]
|> seal
)))))
The query ensures that the fields
vector has the same length as each of the
vectors in values
, and that their respective elements match. There is no
check for missing non-NULL fields, though this could be added in the future.
REPLACE
queries follow the same structure, but for those, open the Replace
module instead of Insert
and call the replace
function instead of insert
.
let query, params = Mysql.(Expr.(Update.(Vector.(Expr.(Vector.(
update Book.table
~set:
[ Book.title, string "King Sequoia"
; Book.author, string "William C. Tweed"
]
|> where (field Book.title =% string "seq%") (* (=%) is the LIKE operator *)
|> seal
))))))
let query, params = Mysql.(Expr.(Delete.(Expr.(
delete
~from:Book.table
~where:(field Book.title <>% string "%sequoia%") (* (<>%) is the NOT LIKE operator *)
|> seal
))))
- No arbitrary expressions on joins;
- All table definitions must be in the same file;
- Queries can be defined in separate files but this is implemented in a
hackish way (
Marshal
dump files in/tmp
); INSERT
queries don't forbid absent non-NULL fields;- No ocamldoc for drivers (yet).
Thanks to Gabriel Scherer for the type-system wizardry that makes this library possible.