Sqlalchemy Filter According To Nested Keys In Jsonb

I have a JSONB field that sometimes has nested keys. Example: {'nested_field': {'another URL': 'foo', 'a simple text': 'text'}, 'first_metadata': 'plain string', 'another_metad

Solution 1:

With SQLAlchemy the following should work for your test string:

class TestMetadata(Base):
    id =Column(Integer, primary_key=True)
    name =Column(String)
    metadata_item =Column(JSONB)

as per SQLAlchemy documentation of JSONB (search for Path index operations example):

expr = TestMetadata.metadata_item[("nested_field", "a simple text")]
q = (session.query(TestMetadata.id, expr.label("deep_value"))
     .filter(expr != None)
     .all())

which should generate the SQL below:

SELECT  testmetadata.id AS testmetadata_id, 
        testmetadata.metadata_item #> %(metadata_item_1)s AS deep_value
FROM    testmetadata
WHERE  (testmetadata.metadata_item #> %(metadata_item_1)s) IS NOT NULL
-- @params: {'metadata_item_1': u'{nested_field, a simple text}'}

Solution 2:

This query tests for existence of the nested field with the ? operator, after extracting the nested JSON object with the -> operator:

SELECTEXISTS (
   SELECT1FROM   testmetadata
   WHERE  metadata_item->'nested_field' ? 'a simple text'
   );

Note that a plain GIN index does not support this query. You would need an expression index on metadata_item->'nested_field' to make this fast.

CREATE INDEX testmetadata_special_idx ON testmetadata
USING gin ((metadata_item->'nested_field'));

There is an example in the manual for a similar case.