I read that dgraph is configuring badger to keep all value mutations in the log permanently:
So… My question is, can we access that “infinite history” via dgraph queries?
I am experimenting with adding explicit created and modified dateTime predicates, but it feels like this could/should be provided via an implicit function of some sort.
Intuitively i would like this kind of query:
{
everyone(func: eq(dgraph.type, "Person")) {
uid
created as @created(uid)
modified as @modified(uid)
seconds_since_created: math(since(created))
name@* @facets @history
}
}
to return this kind of result:
{
"data": {
"everyone": [
{
"uid": "0x2737",
"created": "2020-07-29T12:50:41.849Z",
"modified": "2020-07-29T14:10:05.56Z",
"seconds_since_created": 4799.593736,
"name@en": "Hyong Sin",
"name@en|isChanged" : true,
"name@en|history": {
"2020-07-29T14:10:05.56Z":"Hyung Sin"
},
"name@ko": "형신"
},
Is there any undocumented magic (or magic that i didn’t manage to find in the docs) to do such things?
If not, could this be a feature request? Would it be reasonably easy to implement because of the way badger ~is_working with dgraph ?