Clients can communicate with the server in two different ways:
Via HTTP: there are various endpoints, each accepting and returning JSON. There is a one to one correspondence between the HTTP endpoints and the gRPC service methods.
It’s possible to interface with Dgraph directly via gRPC or HTTP. However, if a client library exists for you language, this will be an easier option.
*grpc.ClientConnper Dgraph instance. Mutations will be made in a round robin fashion, resulting in an initially semi random predicate distribution.
Dgraph clients perform mutations and queries using transactions. A transaction bounds a sequence of queries and mutations that are committed by Dgraph as a single unit: that is, on commit, either all the changes are accepted by Dgraph or none are.
A transaction always sees the database state at the moment it began, plus any changes it makes — changes from concurrent transactions aren’t visible.
On commit, Dgraph will abort a transaction, rather than committing changes, when a conflicting, concurrently running transaction has already been committed. Two transactions conflict when both transactions:
- write values to the same scalar predicate of the same node (e.g both
attempting to set a particular node’s
- write to a singular
uidpredicate of the same node (changes to
[uid]predicates can be concurrently written); or
- write a value that conflicts on an index for a predicate with
@upsertset in the schema (see upserts).
When a transaction is aborted, all its changes are discarded. Transactions can be manually aborted.