package ppx_rapper_lwt
Install
Dune Dependency
Authors
Maintainers
Sources
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README.md.html
README.md
ppx_rapper
An extension that allows named parameters in SQL with types inferred, and syntax checking of SQL as a preprocessing step. Like ppx_mysql but using Caqti. The name comes from the idea of Dapper but with Records.
The syntax checking feature only works for PostgreSQL, but other features should work with other Caqti backends such as MariaDB and SQLite. If you are using a non-Postgres dialect you should use the syntax_off
option to avoid spurious errors.
Installation
You can install ppx_rapper
with opam:
$ opam install ppx_rapper ppx_rapper_lwt
(or ppx_rapper_async
if you are using async instead).
To use in a project built with dune, add these lines to the relevant stanzas:
(libraries ppx_rapper_lwt)
(preprocess (pps ppx_rapper))
or similar for async.
Example usage
let my_query =
[%rapper
get_opt
{sql|
SELECT @int{id}, @string{username}, @bool{following}, @string?{bio}
FROM users
WHERE username <> %string{wrong_user} AND id > %int{min_id}
|sql}]
turns into
let my_query =
let query =
(let open Caqti_request in
find_opt)
((let open Caqti_type in
tup2 string int) [@ocaml.warning "-33"])
((let open Caqti_type in
tup2 int (tup2 string (tup2 bool (option string))))
[@ocaml.warning "-33"])
"\n\
\ SELECT id, username, following, bio\n\
\ FROM users\n\
\ WHERE username <> ? AND id > ?\n\
\ "
in
let wrapped ~wrong_user ~min_id (module Db : Rapper_helper.CONNECTION) =
let f result =
let g (id, (username, (following, bio))) =
(id, username, following, bio)
in
let f =
(fun f x -> match x with Some x -> Some (f x) | None -> None) g
in
match result with Ok x -> Ok (f x) | Error e -> Error e
in
Rapper_helper.map f (Db.find_opt query (wrong_user, min_id))
in
wrapped
For further examples, see the examples
directory.
Query functions
Query functions are
execute
for queries that return 0 rows, represented as()
get_one
for queries that return 1 rows, represented as a tuple/recordget_opt
for queries that return 0 or 1 rows, represented as a tuple/record optionget_many
for queries that may return any number of rows, represented as a list of tuples/records
These correspond to exec
, find
, find_opt
and collect
in Caqti_request
.
Since 1-tuples don't exist, single values are used instead for that case.
Parameters
Syntax for input/output parameters is the same as ppx_mysql: %type{name}
for inputs and @type{name}
for outputs. The set of currently supported base types overlaps with Caqti
's: int
,int32
,int64
, string
, octets
, float
, bool
, pdate
, ptime
and ptime_span
are supported, in addition to cdate
and ctime
, provided by caqti-type-calendar. Option types can be specified by appending a ?
to the type specification, e.g.int?{id}
.
Custom types
In the style of ppx_mysql
, ppx_rapper
also provides (limited) support for custom types via user-provided encoding and decoding functions. Consider the following example, adapted from the mysql_ppx
section for the same feature:
module Suit : Rapper.CUSTOM = struct
type t = Clubs | Diamonds | Hearts | Spades
let t =
let encode = function
| Clubs -> Ok "c"
| Diamonds -> Ok "d"
| Hearts -> Ok "h"
| Spades -> Ok "s"
in
let decode = function
| "c" -> Ok Clubs
| "d" -> Ok Diamonds
| "h" -> Ok Hearts
| "s" -> Ok Spades
| _ -> Error "invalid suit"
in
Caqti_type.(custom ~encode ~decode string)
end
let get_cards =
[%rapper get_many
{sql| SELECT @int{id}, @Suit{suit} FROM cards WHERE suit <> %Suit{suit} |sql}]
The syntax extension will recognize type specifications that start with an uppercase letter -- Suit
in our example -- and assume they refer to a module (available in the scope where the extension is evaluated) that implements the Rapper.CUSTOM
signature, as listed below:
module type CUSTOM = sig
type t
val t : t Caqti_type.t
end
Note: custom type support in this syntax extension is fairly limited and not meant to be used for e.g. composite types in the output. If you intend to get the return values for your query in a record, there's support for that with the record_out
option (described below).
List support for input parameters
ppx_rapper
has limited support for queries that take a list of values as input, through the special %list{}
construct. An example is shown below:
let users =
[%rapper
get_opt
{sql|
SELECT @int{id}, @string{username}, @bool{following}, @string?{bio}
FROM users
WHERE following = %bool{following} and username IN (%list{%int{ids}})
|sql}]
Current limitations for list
include:
Only one
list
input parameter is supported at this time;Generated Caqti queries are dynamically generated, and thus
oneshot
as per the documentation. Turning this off is not currently supported, but please let us know if you have a use case for it.
Extension options
If record_in
or record_out
are given as options like so:
let my_query =
[%rapper
get_opt
{sql|
SELECT @int{id}, @string{username}, @bool{following}, @string?{bio}
FROM users
WHERE username <> %string{wrong_user} AND id > %int{min_id}
|sql}
record_in record_out]
then the input and/or output of the query will be records. For the example above, they would have type {id: int; wrong_user: string}
and {id: int; username: string; following: bool; bio: string option}
respectively. The default non-record methods are labelled arguments and tuples respectively.
Instead of record_out
you can give function_out
, in which case the first argument to the generated function should be a function with labelled arguments of the types of the output parameters, like so:
let show_user_names =
[%rapper
get_many {sql| SELECT @int{id}, @string{name} FROM users |sql} function_out]
(fun ~name ~id -> Printf.sprintf "User %d is called %s" id name)
By default, queries are syntax checked using pg_query-ocaml and the extension will error if syntax checking fails. If you are using a non-Postgres SQL dialect or this gives a false positive error for a query it can be suppressed using the syntax_off
option.
Multiple outputs
With the record_out
or function_out
option, an output parameter @type{param_name}
will usually map to a record field name or labelled argument param_name
. However, different behaviour occurs if there are output parameters containing dots. In this case, multiple outputs will be produced. For example:
let get_user_hat =
[%rapper
get_one
{sql|
SELECT @int{users.user_id}, @string{users.name},
@int{hats.hat_id}, @string{hats.colour}
FROM users
JOIN hats ON hats.hat_id = users.hat_id
WHERE users.id = 7
|sql}
record_out]
will produce output with type { user_id: int; name: string} * { hat_id: int; colour: string}
. Similarly, with function_out
the generated function will take a tuple of loading functions. Ordering of elements of these tuples is given by the order of their first output parameters in the query.
Note that multiple outputs that share field names (for instance @int{users.id}
and @int{hats.id}
in the same query) will not work with record_out
, but will work fine with function_out
.
Loading data with one-to-many relationships
The multiple outputs feature can be used with the runtime function Rapper.load_many
to conveniently load entities with one-to-many relationships, as in the following example:
module Twoot = struct
type t = { id: int; content: string; likes: int }
let make ~id ~content ~likes = { id; content; likes }
end
module User = struct
type t = { id: int; name: string; twoots: Twoot.t list }
let make ~id ~name = { id; name; twoots = [] }
end
let get_multiple_function_out () dbh =
let open Lwt_result.Infix in
[%rapper
get_many
{sql|
SELECT @int{users.id}, @string{users.name},
@int{twoots.id}, @string{twoots.content}, @int{twoots.likes}
FROM users
JOIN twoots ON twoots.user_id = users.id
ORDER BY users.id
|sql}
function_out]
(User.make, Twoot.make) () dbh
>|= Rapper.load_many
(fst, fun { User.id; _ } -> id)
[ (snd, fun user twoots -> { user with twoots }) ]
Here, the query itself produces a list of tuples, where the first element is a user and the second element is one of that user's "twoots". The query is sorted by user id, so all twoots belonging to one user are adjacent. Using Rapper.load_many
produces a list of the unique users with the twoots
field filled correctly.
Contributions
Contributions are very welcome!