I'm trying to have a embedded entity with a field that is larger than 1500bytes. Based on the documentation, it's recommended to exclude that field from Indexes, and it should allow 1MB.
I add that field to the exclude_from_indexes key of the embedded entity. When I try and save the parent Entity it tells me the field is bigger than 1500bytes. If I save the embedded entity independently, it works.
Is exclude_from_indexes ignored on embedded entity?
client = datastore.Client(dataset_id=projectID)
record_key = client.key('Record', my_id)
record_entity = datastore.Entity(record_key)
embedded_key = client.key('Data', another_id)
embedded_entity = datastore.Entity(key=embedded_key,exclude_from_indexes=('big_field',))
embedded_entity['field1']='1234'
embedded_entity['big_field']='large string bigger than 1500bytes'
record_entity['RandomFieldName']=embedded_entity
client.put(record_entity)
#Error: gcloud.exceptions.BadRequest: 400 The value of property "big_field" is longer than 1500 bytes.
client.put(embedded_entity)
#No Error
This should be a valid call. You can try it out yourself by using the API explorer for Datastore.
It's likely a bug inside gcloud-python which doesn't properly pass along the indexing information when you use an embedded entity.
I see you also filed a bug on the gcloud-python github, I would recommend following along there.