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paws.database (version 0.1.12)

rds_modify_current_db_cluster_capacity: Set the capacity of an Aurora Serverless DB cluster to a specific value

Description

Set the capacity of an Aurora Serverless DB cluster to a specific value.

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 modify_current_db_cluster_capacity 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 modify_current_db_cluster_capacity 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.

Usage

rds_modify_current_db_cluster_capacity(DBClusterIdentifier, Capacity,
  SecondsBeforeTimeout, TimeoutAction)

Value

A list with the following syntax:

list(
  DBClusterIdentifier = "string",
  PendingCapacity = 123,
  CurrentCapacity = 123,
  SecondsBeforeTimeout = 123,
  TimeoutAction = "string"
)

Arguments

DBClusterIdentifier

[required] The DB cluster identifier for the cluster being modified. This parameter isn't case-sensitive.

Constraints:

  • Must match the identifier of an existing DB cluster.

Capacity

The DB cluster capacity.

When you change the capacity of a paused Aurora Serverless DB cluster, it automatically resumes.

Constraints:

  • For Aurora MySQL, valid capacity values are 1, 2, 4, 8, 16, 32, 64, 128, and 256.

  • For Aurora PostgreSQL, valid capacity values are 2, 4, 8, 16, 32, 64, 192, and 384.

SecondsBeforeTimeout

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.

TimeoutAction

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 isn't found in the timeout period.

Request syntax

svc$modify_current_db_cluster_capacity(
  DBClusterIdentifier = "string",
  Capacity = 123,
  SecondsBeforeTimeout = 123,
  TimeoutAction = "string"
)