Open dat7e opened 2 years ago
Could you elaborate on what you are using the variables for? Yes, we could expose how Lacinia internally tracks variables and values, but I prefer to do so carefully, in a way that allows us to change things in the future without breaking backwards compatibility. So if I had some insight into what questions you are trying to answer, that might yield a better, more stable solution.
I'm working on a relational database to GraphQL API generator. For poll-based subscription optimization, the compiler has to group similar GraphQL queries into a single big SQL query to execute against the database. This requires knowing which variables are used (for the grouping), and which types they are (for appropriate SQL casts). Below is a sample:
subscription Test($name: String!) {
Customers(
where: {
fullName: { _in: [$name, "Test2"] }
id: { _neq: "47ae0cc8-9fd6-46b3-bdb8-e3bbc7c5adca" }
}
) {
id
fullName
createdAt
comm
updatedAt
metadata
addresses(
where: {
city: { _in: ["Test3", "Test4"] }
id: { _neq: "47ae0cc8-9fd6-46b3-bdb8-e3bbc7c5adca" }
}
) {
street1
city
countryCode
}
}
}
is currently grouped into this Postgres query:
WITH __subs AS (
SELECT
__subs_arr ->> 0 AS __sub_id,
__subs_arr ->> 1 AS name
FROM
JSON_ARRAY_ELEMENTS(
CAST('[["43f0282c-f9e9-4644-ac31-9dcdf5095530","jj"],["another sub id","$name value for this sub"]]' AS json)
) AS __subs_arr
)
SELECT
__sub_id AS sub_id,
__sub_res.result
FROM
__subs
LEFT JOIN LATERAL (
SELECT
COALESCE(
JSONB_AGG(__root_0.*),
'[]'
) AS result
FROM
(
SELECT
customer.id,
customer.full_name,
customer.created_at,
customer.comm,
customer.updated_at,
customer.metadata,
(
SELECT
COALESCE(
JSONB_AGG(__nest_1__0.*),
'[]'
)
FROM
(
SELECT
address.street_1,
address.city,
address.country_code
FROM
address
WHERE
(
city IN ('Test3', 'Test4')
)
AND (id <> '47ae0cc8-9fd6-46b3-bdb8-e3bbc7c5adca')
AND (
address.customer_id = customer.id
)
) AS __nest_1__0
) AS addresses
FROM
customer
WHERE
(
full_name IN (__subs.name, 'Test2')
)
AND (id <> '47ae0cc8-9fd6-46b3-bdb8-e3bbc7c5adca')
) AS __root_0
) AS __sub_res ON TRUE
I got to this with some hacks (i.e: using variables
data from request
context, which is without types and might be inaccurate). And this query works but as soon as we introduce some variables of non-primitive types, for example an "id" of UUID type:
Exception in thread "async-dispatch-8" org.postgresql.util.PSQLException: ERROR: operator does not exist: uuid <> text
For the full solution, in the WITH
clause, we would need to cast values like so:
WITH __subs AS (
SELECT
__subs_arr ->> 0 AS __sub_id,
CAST(__subs_arr ->> 1 as uuid) AS id,
CAST(__subs_arr ->> 2 as text) AS name,
...
FROM
...
This seems to be related to #430 in that both try to enrich parsed query context. I'd like to have your inputs on how to best move forward @hlship
Thanks for the update; been busy here. I'll try to digest what you have posted above.
Hello,
First of all, thank you for your outstanding work on this library. Using Clojure to build GraphQL backends is a joy and lacinia enables that.
I'm currently in need of doing some dynamic analysis on lacinia queries and could not find a way to look up the consumed variables and their types. Digging into the code, it looks to me that used variables are calculated here to pass downstream, but do not make it into the returned map, therefore are not included in lacinia context.
Is it a good idea to have this value included in the context? If so I can submit a patch sometime next week. Or if there's anything I'm not aware of, please let me know.
Thank you again!