Need expand(_all_) like behaviour where schema isn't known beforehand

[pranaypratyush]

@MichelDiz

Can you share where this was suggested? The context should help here.

Partially typed schema

I know in advance what structure I expect to receive for some parts of my data but one certain field can contain arbitrary JSON. I want to be able to return the original JSON by following the node and run some aggregates over that JSON since I know names of certain fields. What would be the best approach to handle that and what are my options? Currently running mutation = txn.create_mutation(set_obj=partial_data) request = txn.create_request(mutations=[mutation], commit_now=True) result = tx…

@MichelDiz

You can create a fake Type and use it to kind of “debug the schema” and create the official Schema. But you would have to upsert all possible nodes with the "dgraph.type": "myFakeType" and then you can query with expand(myFakeType

Didn’t quite get it. I made a schema from sample response but then some other response later on might have extra fields that I wont be able to query. How can I see these extra fields?
(Plus the schema is getting filled with predicates, it’s ok I guess but avoiding it would be nice)