Querying Semistructured Data with Column Elements

Please answer these questions before submitting your issue. Thanks!

1. What version of Python are you using (python --version)? 3.6.5

2. What operating system and processor architecture are you using (python -c 'import platform; print(platform.platform())')? Darwin-16.7.0-x86_64-i386-64bit

3. Question: My question is how do I use semistructured data in my sqlalchemy orm queries. I am interested in referencing the semistructured data in the SELECT, JOINs and the WHERE clause.

I would like to generate a query like this with snowflake-sqlalchemy, however I’m not sure how to generate the snowflake semistructured data syntax table.column_name:key:

SELECT activity.blob:document_id
FROM event
JOIN event ON activity.blob:event_id == event.id
WHERE activity.blob:document_id > 5

Thank you for your help, Alana

[ztane]

The JSON column type as it works in PostgreSQL would allow writing the query as

    Query(Activity)
        .join(Event, Activity.blob['event_id'] == Event.id)
        .filter(Activity.blob.blob['document_id'] > 5)

which is a significant improvement

[alanapradhan]

Here is a possible solution, but it seems a little hacky and verbose .op(':')(text('key')):

from sqlalchemy.orm import Query
from sqlalchemy import text
(
    Query(Activity)
        .join(Event, Activity.blob.op(':')(text('event_id')) == Event.id)
        .filter(Activity.blob.op(':')(text('document_id')) > 5)
)

SELECT 
    activity.id,
    activity.blob
FROM activity
JOIN event ON event.id = (activity.blob : event_id)
WHERE (activity.blob : document_id) > 5