django rawsql postgres nested json/jsonb query - django

Question

I have a jsonb structure on postgres named data where each row (there are around 3 million of them) looks like this:
[
{
"number": 100,
"key": "this-is-your-key",
"listr": "20 Purple block, THE-CITY, Columbia",
"realcode": "LA40",
"ainfo": {
"city": "THE-CITY",
"county": "Columbia",
"street": "20 Purple block",
"var_1": ""
},
"booleanval": true,
"min_address": "20 Purple block, THE-CITY, Columbia LA40"
},
.....
]
I would like to query the min_address field in the fastest possible way. In Django I tried to use:
APModel.objects.filter(data__0__min_address__icontains=search_term)
but this takes ages to complete (also, "THE-CITY" is in uppercase, so, I have to use icontains here. I tried dropping to rawsql like so:
cursor.execute("""\
SELECT * FROM "apmodel_ap_model"
WHERE ("apmodel_ap_model"."data"
#>> array['0', 'min_address'])
#> %s \
""",\
[json.dumps([{'min_address': search_term}])]
)
but this throws me strange errors like:
LINE 4: #> '[{"min_address": "some lane"}]'
^
HINT: No operator matches the given name and argument type(s). You might need to add explicit type casts.
I am wondering what is the fastest way I can query the field min_address by using rawsql cursors.

Answer 1

Late answer, probably it won't help OP anymore. Also I'm not at all an expert in Postgres/JSONB, so this might be a terrible idea.
Given this setup;
so49263641=# \d apmodel_ap_model;
Table "public.apmodel_ap_model"
Column | Type | Collation | Nullable | Default
--------+-------+-----------+----------+---------
data | jsonb | | |
so49263641=# select * from apmodel_ap_model ;
data
-------------------------------------------------------------------------------------------
[{"number": 1, "min_address": "Columbia"}, {"number": 2, "min_address": "colorado"}]
[{"number": 3, "min_address": " columbia "}, {"number": 4, "min_address": "California"}]
(2 rows)
The following query "expands" objects from data arrays to individual rows. Then it applies pattern matching to the min_address field.
so49263641=# SELECT element->'number' as number, element->'min_address' as min_address
FROM apmodel_ap_model ap, JSONB_ARRAY_ELEMENTS(ap.data) element
WHERE element->>'min_address' ILIKE '%col%';
number | min_address
--------+---------------
1 | "Columbia"
2 | "colorado"
3 | " columbia "
(3 rows)
However, I doubt it will perform well on large datasets as the min_address values are casted to text before pattern matching.
Edit: Some great advice here on indexing JSONB data for search https://stackoverflow.com/a/33028467/1284043