Set the capacity of an Aurora Serverless DB cluster to a specific value.
rds_modify_current_db_cluster_capacity(DBClusterIdentifier, Capacity,
SecondsBeforeTimeout, TimeoutAction)
[required] The DB cluster identifier for the cluster being modified. This parameter is not case-sensitive.
Constraints:
Must match the identifier of an existing DB cluster.
The DB cluster capacity.
When you change the capacity of a paused Aurora Serverless DB cluster, it automatically resumes.
Constraints:
Value must be 1
, 2
, 4
, 8
, 16
, 32
, 64
, 128
, or 256
.
The amount of time, in seconds, that Aurora Serverless tries to find a scaling point to perform seamless scaling before enforcing the timeout action. The default is 300.
Value must be from 10 through 600.
The action to take when the timeout is reached, either
ForceApplyCapacityChange
or RollbackCapacityChange
.
ForceApplyCapacityChange
, the default, sets the capacity to the
specified value as soon as possible.
RollbackCapacityChange
ignores the capacity change if a scaling point
is not found in the timeout period.
svc$modify_current_db_cluster_capacity( DBClusterIdentifier = "string", Capacity = 123, SecondsBeforeTimeout = 123, TimeoutAction = "string" )
Aurora Serverless scales seamlessly based on the workload on the DB
cluster. In some cases, the capacity might not scale fast enough to meet
a sudden change in workload, such as a large number of new transactions.
Call ModifyCurrentDBClusterCapacity
to set the capacity explicitly.
After this call sets the DB cluster capacity, Aurora Serverless can automatically scale the DB cluster based on the cooldown period for scaling up and the cooldown period for scaling down.
For more information about Aurora Serverless, see Using Amazon Aurora Serverless in the Amazon Aurora User Guide.
If you call ModifyCurrentDBClusterCapacity
with the default
TimeoutAction
, connections that prevent Aurora Serverless from finding
a scaling point might be dropped. For more information about scaling
points, see Autoscaling for Aurora Serverless
in the Amazon Aurora User Guide.
This action only applies to Aurora DB clusters.