Opened 7 months ago

Closed 7 months ago

Last modified 7 months ago

#35491 closed New feature (invalid)

QuerySet.extra use case. Unnest array and make it lower. and make it an array again.

Reported by: june Owned by: nobody
Component: Database layer (models, ORM) Version: 4.2
Severity: Normal Keywords: QuerySet.extra
Cc: Triage Stage: Unreviewed
Has patch: no Needs documentation: no
Needs tests: no Patch needs improvement: no
Easy pickings: no UI/UX: no

Description

I had used extra() for annotating Arrayfield with lower cases and filter out with another array intersection.

Below is what I used for

`

lower_value = [v.lower() for v in value]
numbers = Numeric.objects.extra(

where=[f"ARRAY(SELECT lower(unnest({array_field}))) && %s::text[]"],
params=[lower_value],

)

`

I need to unnest arrayfield first and make each elements lowercase, and make it an Array again.
and then need to check overlay with another array.

Change History (1)

comment:1 by Simon Charette, 7 months ago

Resolution: invalid
Status: newclosed

There are multiple ways to achieve that without the usage of extra.

The most straightforward is to use RawSQL as mentioned in the docs right below the part that mentions using creating a ticket.

Numeric.objects.filter(
    RawSQL(
        f"ARRAY(SELECT lower(unnest({array_field}))) && %s::text[]",
        (lower_values,)
        output_field=BooleanField(),
    )
)

But you could also use a Func

class ArrayLower(Func):
    template = "ARRAY(SELECT lower(unnest(%(expressions)s)))"
    arity = 1
    output_field = ArrayField(TextField())

Numeric.objects.alias(
    array_field_lower=ArrayLower("array_field")
).filter(
    array_field_lower__overlap=lower_values
)

It would also be pretty straightforward to define an __loweroverlap transform if you wanted to to encapsulate all of that logic

Numeric.objects.filter(
    array_field__loweroverlap=value
)

In short, you don't need extra at all to achieve what you're after. Please refer to the expression documentation and familiarize yourself with RawSQL usage if you want to resort to raw sql usage.

Last edited 7 months ago by Simon Charette (previous) (diff)
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