Goal is to be able to insure relations between documents in collections.
one to one
adds a unique constraint
a field on one of the two collection refers to the other one
scaffolding of indexes to query against it
one to many (also many to one)
a field on one of the two collection refers to the other one
scaffolding of indexes to query against it
many to many
creation of a new collection name biota.relation.<relation-name>
scaffolding of indexes to query against it
Basic example
How the api would look like:
// one to one
db.relation('user_address').one("address").connects.one("user", "contact.address")
// where 'address' refers to the Collection("addresses")
// where 'user' refers to the Collection("users") and "contact.address" is the field to be looked up
// many to one
db.relation('question_answers').many("answers", "question").connects.one("question")
// where 'answers' refers to the Collection("answers") and "question" is the field to be looked up
// where 'question' refers to the Collection("questions")
// many to many
db.relation('participations').many("polls", "users").connects.many("users", "polls")
// where 'polls' refers to the Collection("polls") and "users" the users ref list (added in the relations obj)
// where 'users' refers to the Collection("users") and "polls" the polls ref list (added in the relations obj)
Motivation
Simplify the relations management between collections.
Summary
Goal is to be able to insure relations between documents in collections.
one to one
one to many (also many to one)
many to many
biota.relation.<relation-name>
Basic example
How the api would look like:
Motivation
Simplify the relations management between collections.