This is more of a question with a use case when loading nodes
lets imagine we have two objects
{ "name": "moving item" , "can_move" : True}
{ "name": "cat" , "can_make_noise": True}
let's say we can create a schema merging the properties of these objects that looks something like
name:STRING|can_move:BOOL|can_make_noise:BOOL
moving item|True|
cat||True
When using the bulk loader with enforce schema we are expected to define a value for the missing columns can_move for cat or can_make_noise for moving item.
There are cases where in data we are trying to load doesn't make sense to use default values , i.e cases where we can't assert that if this is not provided then use False (or True) for that matter .
Question is is it possible to accept missing values and not write those properties in the graph if values for those columns (attributes) are not provided?
This is more of a question with a use case when loading nodes
lets imagine we have two objects
let's say we can create a schema merging the properties of these objects that looks something like
When using the bulk loader with enforce schema we are expected to define a value for the missing columns
can_moveforcatorcan_make_noiseformoving item.There are cases where in data we are trying to load doesn't make sense to use default values , i.e cases where we can't assert that if this is not provided then use
False(orTrue) for that matter .Question is is it possible to accept missing values and not write those properties in the graph if values for those columns (attributes) are not provided?