Reputation: 2579
I want to convert this SQL query to JOOQ DSL.
select "p".*, array_agg("pmu") as projectmemberusers
from "Projects" as "p"
join "ProjectMemberUsers" as "pmu" on "pmu"."projectId" = "p"."id"
group by "p"."id";
Currently i have tried doing something like this using JOOQ:
val p = PROJECTS.`as`("p")
val pmu = PROJECTMEMBERUSERS.`as`("pmu")
val query = db.select(p.asterisk(), DSL.arrayAgg(pmu))
.from(p.join(pmu).on(p.ID.eq(pmu.PROJECTID)))
.groupBy(p.ID)
This does not work because DSL.arrayAgg
expects something of type Field<T>
as input.
I am new to JOOQ and not an SQL professional. Detailed explanations and impovement suggestions are highly appreciated.
Upvotes: 4
Views: 1822
Reputation: 220952
What you're looking for is a way to express PostgreSQL's "anonymous" nested records through the jOOQ API, similar to what is requested in this feature request: https://github.com/jOOQ/jOOQ/issues/2360
This is currently not possible in the jOOQ API as of version 3.11, but it definitely will be in the future.
You could try using the experimental DSL.rowField()
methods on a Row[N]<...>
representation of your table type. This may or may not work yet, as the feature is currently not supported.
A workaround is to create a type:
create type my_type as (...) -- Same row type as your table
And a view:
create view x as
select "p".*, array_agg("pmu"::my_type) as projectmemberusers
from "Projects" as "p"
join "ProjectMemberUsers" as "pmu" on "pmu"."projectId" = "p"."id"
group by "p"."id";
And then use the code generator to pick up the resulting type.
Upvotes: 2
Reputation: 17721
First of all, the syntax indeed works, checked this in SQL Fiddle: http://sqlfiddle.com/#!17/e45b7/3
But it's not documented in detail: https://www.postgresql.org/docs/9.5/static/functions-aggregate.html https://www.postgresql.org/docs/current/static/rowtypes.html#ROWTYPES-USAGE
That's probably the reason jOOQ doesn't support this currently: https://github.com/jOOQ/jOOQ/blob/master/jOOQ/src/main/java/org/jooq/impl/DSL.java#L16856
The only syntax that will work currently is with a single field: DSL.arrayAgg(pmu.field(1))
Upvotes: 4