class Blog:
values = JSONField(blank=True, default=list)
[
{
"id": 1,
"value": "31"
},
{
"id": 2,
"value": "Hello"
},
...
]
I need to get all objects where the id is 1 and value of that field is greater than 31.
I have tried q = queryset.filter(values__0__id=1, values__0__value_gte=31)
but it works only for objects if an object that I need located only in first element.
Apparently, nowadays Django
has not built-in support for array elements comparison for JSONField
. Fortunately, Django
allows to make a lot of custom staff. For example, Django
's raw SQL feature.
And if you use PostgreSQL as your main DB, you can use JSON Processing Functions. The jsonb_array_elements()
from JSON processing functions is pretty nice choice.
Combining features above, we can make a little workaround for your case:
# Create method that uses raw SQL within your `objects` Model Manager.
# Create your own filters as you want. This example should be improved
# and handle exception cases of course.
def filter_blogs_json(json_field, sql_operator, value):
return Blog.objects.raw(f"SELECT id, data FROM yourappname_blog CROSS JOIN jsonb_array_elements(values) AS data WHERE (data->'{json_field}')::numeric {sql_operator} {value};")
# You can get raw objects queryset
raw_blogs_qs = filter_blogs_json('value', '>=', 31)
# Then you can process it anyway you want
filtered_blog_ids = [b.id for b in raw_blogs_qs]
queryset = Blog.objects.filter(...).filter(id__in=filtered_blog_ids)
Pretty easy, isn't it? :)
Moreover, I believe it is possible to make your own queryset Lookup's for JSONField
, extend queries as you want and etc.