CreateDBClusterParameterGroup

Creates a new cluster parameter group.

Parameters in a cluster parameter group apply to all of the instances in a cluster.

A cluster parameter group is initially created with the default parameters for the database engine used by instances in the cluster. In Amazon DocumentDB, you cannot make modifications directly to the default.docdb3.6 cluster parameter group. If your Amazon DocumentDB cluster is using the default cluster parameter group and you want to modify a value in it, you must first create a new parameter group or copy an existing parameter group, modify it, and then apply the modified parameter group to your cluster. For the new cluster parameter group and associated settings to take effect, you must then reboot the instances in the cluster without failover. For more information, see Modifying Amazon DocumentDB Cluster Parameter Groups.

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

DBClusterParameterGroupName

The name of the cluster parameter group.

Constraints:

  • Must not match the name of an existing DBClusterParameterGroup.

注意

This value is stored as a lowercase string.

Type: String

Required: Yes

DBParameterGroupFamily

The cluster parameter group family name.

Type: String

Required: Yes

Description

The description for the cluster parameter group.

Type: String

Required: Yes

Tags.Tag.N

The tags to be assigned to the cluster parameter group.

Type: Array of Tag objects

Required: No

Response Elements

The following element is returned by the service.

DBClusterParameterGroup

Detailed information about a cluster parameter group.

Type: DBClusterParameterGroup object

Errors

For information about the errors that are common to all actions, see Common Errors.

DBParameterGroupAlreadyExists

A parameter group with the same name already exists.

HTTP Status Code: 400

DBParameterGroupQuotaExceeded

This request would cause you to exceed the allowed number of parameter groups.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: