ArangoDB v3.13 is under development and not released yet. This documentation is not final and potentially incomplete.
Replication
Replication synchronizes state between different machines, like the data of different cluster nodes
Replication allows you to replicate data onto another machine. It forms the base of all scalability and failover features ArangoDB offers.
ArangoDB uses synchronous replication between the DB-Servers of an ArangoDB Cluster.
Synchronous replication is typically used for mission critical data which must be accessible at all times. Synchronous replication generally stores a copy of a shard’s data on another DB-Server and keeps it in sync. Essentially, when storing data after enabling synchronous replication, the Cluster waits for all replicas to write all the data before green-lighting the write operation to the client. This naturally increases the latency a bit, since one more network hop is needed for each write. However, it enables the cluster to immediately fail over to a replica whenever an outage is detected, without losing any committed data, and mostly without even signaling an error condition to the client.
Synchronous replication is organized such that every shard has a
leader and r - 1
followers, where r
denotes the replication factor.
The replication factor is the total number of copies that are kept, that is, the
leader and follower count combined. For example, with a replication factor of
3
, there is one leader and 3 - 1 = 2
followers. You can control the
number of followers using the replicationFactor
parameter whenever you
create a collection, by setting a replicationFactor
one higher than the
desired number of followers. You can also adjust the value later.
You cannot set a replicationFactor
higher than the number of available
DB-Servers by default. You can bypass the check when creating a collection by
setting the enforceReplicationFactor
option to false
. You cannot bypass it
when adjusting the replication factor later. Note that the replication factor
is not decreased but remains the same during a DB-Server node outage.
In addition to the replication factor, there is a writeConcern that
specifies the minimum number of in-sync followers required for write operations.
If you specify the writeConcern
parameter with a value greater than 1
, the
collection’s leader shards are locked down for writing as soon as too few
followers are available.